Fulltime Machine Learning Engineers openings in New York, United States on September 06, 2022

REMOTE Machine Learning Operations Engineer (ML Ops) at Jobot

Location: New York

We are a Series A CyberSecurity startup with elite professional CS services across cloud infrastructure, blockchain/smart contracts, and IoT.

This Jobot Job is hosted by Kurt Holzmuller

Are you a fit? Easy Apply now by clicking the “Apply” button and sending us your resume.

Salary $150,000 – $200,000 per year

A Bit About Us

We are a Series A CyberSecurity startup with elite professional CS services across cloud infrastructure, blockchain/smart contracts, and IoT. Our teams are made up of some of the brightest minds in the cybersecurity space and you will be responsible for developing core features/functions to help secure the world.

As an ML Ops Engineer on our team, you will be responsible for deploying, maintaining, and optimizing ML models in a production environment. This will include creating tools to provide feedback from production ML models and find/ingest/organize and validate datasets.

Why join us?
• Competitive Salary DOE
• Comprehensive Benefits Package (90% employee coverage)
• Employee Stock Options
• 401k with 4% match
• Annual training, certification, and conference budget
• Generous PTO

Job Details

MUST HAVE
• BS in a related field OR equivalent professional experience
• 5+ years of machine learning or data engineering experience
• GCP or AWS
• PyTorch/Tensorflow
• Kafka
• Development Python, Go, or Java
• Docker/Kubernetes

NICE TO HAVE
• SaaS or Cybersecurity startup experience
• Google Vertex AI Platform, Google Compute Engine, Cloud Storage
• microservices

Interested in hearing more? Easy Apply now by clicking the “Apply” button.
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Principal ML Engineer at UnitedHealth Group

Location: New York

Combine two of the fastest-growing fields on the planet with a culture of performance, collaboration and opportunity and this is what you get. Leading edge technology in an industry that’s improving the lives of millions. Here, innovation isn’t about another gadget, it’s about making health care data available wherever and whenever people need it, safely and reliably. There’s no room for error. Join us and start doing your life’s best work.(sm)

Join Optum Digital’s Consumer Profile Team as a Principal Backend Software Engineer. Our team solves recommendations, rankings, user condition predictions, and search problems. We are KPIs driven and leverage machine learning to provide a personalized experience. You will work with brilliant data scientists and engineers to build end-to-end solutions to meet product needs. We are very passionate about our engineering excellence and pride ourselves on releasing solid solutions to production. We leverage state-of-the-art machine learning and strive for low latency solutions.

You’ll enjoy the flexibility to telecommute* from anywhere within the U.S. as you take on some tough challenges.

Primary Responsibilities:
• Architect and build scalable systems, libraries, and frameworks
• Develop APIs and web microservices
• Integrate third-party APIs, and the ability to understand them in several formats
• Write Back End code using Scala
• Explain, Socialize and Vet designs internal and external, stakeholders
• Identify, design, and lead resolution areas for technical maturation across Personalization code base
• Develop software using state of art engineering excellence practices and refine them

You’ll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

Required Qualifications:
• 6+ years of real industry experience in Backend software development
• 6+ years coding experience with Scala/Java or other compiled language
• 6+ years of experience with SQL and NoSQL databases and caching
• Commercial experience with distributed, high-performance systems
• Experience with cloud-based services and hosting (AWS and/or Azure)

Preferred Qualifcations:
• Experience with recommendations, predictions, personalization and machine learning, A/B testing, Spark, Kafka, and MongoDB
• Experience with Scala

To protect the health and safety of our workforce, patients and communities we serve, UnitedHealth Group and its affiliate companies require all employees to disclose COVID-19 vaccination status prior to beginning employment. In addition, some roles and locations require full COVID-19 vaccination, including boosters, as an essential job function. UnitedHealth Group adheres to all federal, state and local COVID-19 vaccination regulations as well as all client COVID-19 vaccination requirements and will obtain the necessary information from candidates prior to employment to ensure compliance. Candidates must be able to perform all essential job functions with or without reasonable accommodation. Failure to meet the vaccination requirement may result in rescission of an employment offer or termination of employment

Technology Careers with Optum. Information and technology have amazing power to transform the health care industry and improve people’s lives. This is where it’s happening. This is where you’ll help solve the problems that have never been solved. We’re freeing information so it can be used safely and securely wherever it’s needed. We’re creating the very best ideas that can most easily be put into action to help our clients improve the quality of care and lower costs for millions. This is where the best and the brightest work together to make positive change a reality. This is the place to do your life’s best work.(sm)

Colorado, Connecticut or Nevada Residents Only: The salary range for Colorado residents is $97,300 to $176,900. The salary range for Connecticut/Nevada residents is $97,300 to $176,900. Pay is based on several factors including but not limited to education, work experience, certifications, etc. In addition to your salary, UnitedHealth Group offers benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with UnitedHealth Group, you’ll find a far-reaching choice of benefits and incentives.
• All Telecommuters will be required to adhere to UnitedHealth Group’s Telecommuter Policy.

To know more about Optum Technology, select this video. http://youtu.be/7iNvN3d3HNA

Diversity creates a healthier atmosphere: UnitedHealth Group is an Equal Employment Opportunity/Affirmative Action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law.

UnitedHealth Group is a drug – free workplace. Candidates are required to pass a drug test before beginning employment.
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Machine Learning Engineer at S&P Global

Location: New York

The Role: Machine Learning Engineer

The Location: New York, NY

Grade: 12 (relevant to internal only)

The R&D-ML team is part of S&P Dow Jones Indices and is an industry leader in the application of artificial intelligence to provide a systematic approach for investors to gain unique and differentiated insights and exposures. Our flagship family of indices describing the industries and innovation of the Fourth Industrial Revolution, the S&P Kensho New Economies, utilizes advanced natural language processing (NLP) and topic modeling and is licensed to some of the largest asset managers in the world.

What’s in it for you: You will be responsible for building solutions in support of indices business, leveraging developments and data from across the organization, and contributing to the advancement of machine learning at S&P Global.

Responsibilities: As a Senior Machine Learning Engineer, you will be responsible for tackling a wide range of problems from NLP time-series prediction. You will move beyond the theoretical confines of academia and apply your tradecraft to build machine learning systems on real world data. In this role you will constantly collaborate and work with groups of engineers. Our machine learning team is responsible for delivering ML-based solutions from problem framing, to prototyping, to production application.
• You will conduct original research on large proprietary and open source data sets
• Research, prototype, identify, and build predictive products
• You will build cutting-edge models for understanding vast amounts of textual data
• Write production-grade code
• You will write tests to ensure the robustness and reliability of your productionized models

Basic Qualifications:
• You have experience being a machine learning contributor in the industry.
• You are fluent in Python
• Experienced with common machine learning methods such as feature engineering, feature selection, hyperparameter optimization for machine learning models.
• Strong statistical knowledge, intuition, and experience modeling real data
• Demonstrated effective coding, documentation, and communication habits
• Experienced collaborating with others on common code via Github, reviewing Pull Requests, and managing merge conflicts.
• Have sound work practices and an ability to be given high level tech instructions and deriving tasks along with expected timeframes.

Preferred Qualifications:
• Deep learning models for text classification and information extraction such as Language Models and Transformers.

Return to Work

Have you taken time out for caring responsibilities and are now looking to return to work? As part of our Return to Work initiative (link to career site page when available), we are encouraging enthusiastic and talented returners to apply, and will actively support your return to the workplace.

S&P Global states that the anticipated base salary range for this position is $150,000 to $190,000. Base salary ranges may vary by geographic location.

In addition to base compensation, this role is eligible for an annual incentive plan.

This role is eligible to receive additional S&P Global benefits. For more information on the benefits we provide to our employees, visit https://www.spgbenefitessentials.com/newhires

At S&P Dow Jones Indices, our role can be described in one word: essential. We’re the largest global resource for index-based concepts, data and research, and home to iconic financial market indicators, such as the S&P 500® and the Dow Jones Industrial Average®. More assets are invested in products based upon our indices than any other index provider in the world; with over 1,000,000 indices, S&P Dow Jones Indices defines the way people measure and trade the markets. We provide essential intelligence that helps investors identify and capitalize on global opportunities.

S&P Dow Jones Indices is a division of S&P Global (NYSE: SPGI), which provides essential intelligence for individuals, companies and governments to make decisions with confidence. For more information, visit www.spdji.com.

S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment.

If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person.

The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law.

S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment.

If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person.

US Candidates Only:

The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law.
• Equal Opportunity Employer

S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment.

If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person.

US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law.
• IFTECH202.2 – Middle Professional Tier II (EEO Job Group)

Job ID: 270516

Posted On: 2022-07-20

Location: New York, New York, United States
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Senior Machine Learning Engineer at Storm3

Location: New York

⚡ Senior Machine Learning Engineer ⚡

Series-A HealthTech

️ New York, USA (Remote/Hybrid)

Interested in joining a rapidly growing Series-A funded startup?

Storm3 are working with a HealthTech start-up who have just received their series-A funding and are looking to recruit a Senior Machine Learning Engineer. This is a great opportunity to join the team of a mission-driven start-up who are on track to revolutionise their field.

This is a senior level role in which you will work closely with other ML engineers, UX team and research team to shape the data efforts across the business.

⭐ Responsibilities:
• Develop AI software and perform statistical analyses on psychometric data
• Develop and maintain data infrastructure, libraries and services with software engineering best practices
• Work with the aforementioned teams to adapt/integrate findings into the product

⭐ Requirements:
• 5+ years experience in data science/engineering
• Familiar with modern ML and data tools like: Python, Numpy, Scipy, Tensorflow/PyTorch, Kubernetes, SQL, etc.
• Experience working with cloud platforms (GCP, Azure or AWS)
• Experience working in the HealthTech space is a huge plus
• Demonstrated examples of data science work

⭐Benefits
• Highly competitive base salary
• Opportunity to join fast growing and well-funded start up
• Learning budget
• Flexible work model

Interested in applying? Please click on the ‘Easy Apply’ button or email me at lucas.ridge-sanchez@storm3.com

After applying, please feel free to connect with me on LinkedIn to discuss the role in more detail.

⚡ Storm3 is a HealthTech recruitment firm with clients across London, Europe and North America. To discuss open opportunities or career options, please visit our website www.storm3.com and follow the Storm3 Linked In page for the latest jobs and intel.
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Tapad – Senior Machine Learning Engineer at Experian

Location: New York

Company Description

Position is open to Remote candidates in the US or Canada. Must be able to work starting around 9am EST to connect with teammates in Oslo, Norway.

Founded in 2010, Tapad cracked the code on cross-device marketing technology. Our groundbreaking, proprietary technology assimilates trillions of data points to find the relationship between smartphones, desktops, laptops, tablets, and connected TVs. Ten years later, we are processing data at petabyte scale, with an engineering team that comprises roughly half of our entire organization. When you work with us, you matter, and your work matters.

We use Scala, in combination with large-scale data processing and open-source technologies, to build our device graph. Across our engineering teams, we also use Scala, GCP, Spark, Kubernetes, Python, TypeScript, Angular, and anything else that helps us get the job done. We’re open-minded about new technologies, we’re passionate about what we do, and we make time for everyone to learn and grow as the industry changes. Engineers at Tapad are approachable and ambitious people who think outside the box and solve big problems collaboratively. Are you up for the challenge?

Job Description

Small Teams; Big Data

At Tapad, we look for individuals who are motivated by complex and challenging work. We want to work with people who share compelling solutions to those challenges, solutions informed by their unique experiences, passions, and expertise.

We are looking for a Senior Machine Learning Engineer to join our global engineering team. We need a person who can work hands-on as an engineer, solving complex problems and building advanced software systems. We face daily challenges that are both unique and engaging, while processing data at petabyte scale. That is over one trillion data points in any given 60-day period — with consumer privacy and data security at the heart of everything we do.

Collaboration is at the forefront of our day-to-day at Tapad. You would be working with multiple engineering domains, and with our commercial teams, to guarantee that we are delivering the best products. We believe that our engineers have an obligation to dissent and discuss. A successful Tapad engineer understands that their ideas hold weight, and they contribute freely and regularly. We want someone who is motivated to find large-scale solutions with us. We work with big data on small teams. Every contribution is important.

Technologies we use at Tapad (don’t worry, we’ll teach you):
• Google Cloud Platform (GCP), Google Dataflow/Beam, SQL, BigQuery
• Scala, sbt, cats, http4s, fs2
• Spark ML, TensorFlow, Kubeflow, Python, PyTorch
• Airflow, Looker, Kubernetes

A day in the life of a Tapad Engineer:
• Solve complex problems building advanced software systems, while processing several petabytes of data
• Adapt quickly to utilize software engineering best practices
• Demonstrate the ability to deliver quality software collaboratively
• Designing, implementing, and running big data pipelines that canvas over petabytes of data
• Contributing to real production projects that constitute Tapad’s core offering
• Collaborate with your team of engineers, and add to product, account, and business development functions to create new products and features
• Learn functional programming
• Ensure that the software you create is testable and tested
• Serve as a senior member of the team by contributing to the architecture, design, and implementation of Tapad’s systems
• Lead and drive technical projects. Take responsibility for the planning, execution, and success of complex technical projects

Qualifications

We are looking for candidates who meet some of the following qualifications:
• 5+ years of experience making significant contributions in the form of code
• Strong understanding of algorithms and data structures and knowing when to apply them
• Deep familiarity with one or more programming languages (Ex: Scala, Java, Python, etc.)
• Interest in machine learning techniques to develop better predictive and clustering models
• Experience working with high-scale systems
• Proficiency in SQL
• Interest in creating powerful machine learning tools that facilitate experimentation and productionalization at scale
• Interest in data engineering and warehousing to develop ingestion engines, ETL pipelines, and organizing data to expose it in a consumable format
• Passionate about helping mentor your teammates grow by providing insightful code reviews and feedback
• Take responsibility for the planning, execution, and success of complex technical projects

Bonus Experience:
• Experience with building systems for model training and serving using TensorFlow, Keras, PyTorch, Spark ML, or Kubeflow
• Working with productionalization of Machine Learning research, and ML project lifecycle management
• Understanding and genuine interest of AI and machine learning methods and algorithms, e.g., gradient based optimization and neural networks
• Experience with functional programming
• Strong understanding of concurrent and parallel programming

Tapad Perks:
• Generous PTO, sick time off, and paid Volunteer Time Off (VTO)
• 401k matching, Life, LTD & STD Insurance, dental, vision, and telehealth plan with 24/7 access to a dedicated team of physical and mental healthcare providers
• Scala School (we’ll teach you!), peer-lead professional development, continuous education reimbursement, and an abundance of resources to help you stay sharp
• Unlimited snacks and beverages for local staff in-office, collaboration lunches (virtual lunches for remote teammates)
• Discounts on gym memberships and wellness programs
• Foosball, ping pong, diversity and inclusion group, book club, virtual game nights and happy hours, and tons of other extra-curricular activities that will make you feel like part of the Tapad family
• Check out our #TapadLife page to see what our employees have to say
• Find more about our engineering culture HERE

Additional Information

Experian Marketing Service’s mission is to accelerate client success through enabling ecosystems, partnerships, and technology solutions. We help brands put people at the heart of their business and have meaningful interactions with their customers.

Founded in 2010, Tapad cracked the code on cross-device marketing technology, creating not only the first but the most robust global cross-device digital identity graph on the market. Ten years later, The Tapad Graph enables marketers to maximize their digital marketing investment for years to come. In November 2020, Experian acquired Tapad, which furthers Experian’s strong commitment to digital identity, activation and connected TV. As a leading provider of consumer data analytics and targeting solutions, Experian Marketing Services has a rapidly growing need to continue expanding our strategy on identity data and services to meet market demand.

All your information will be kept confidential according to EEO guidelines.

Experian is proud to be an Equal Opportunity and Affirmative Action employer. Our goal is to create a thriving, inclusive and diverse team where people love their work and love working together. We believe that diversity, equity and inclusion is essential to our purpose of creating a better tomorrow. We value the uniqueness of every individual and want you to bring your whole, authentic self to work. For us, this is The Power of YOU and and it reflects what we believe. See our DEI work in action!

If you live in Colorado, Connecticut or New York City, please contact us here for the salary range of this position (include this Job Title in your email). In addition to a competitive base salary and variable pay opportunity, Experian offers a comprehensive benefits package including health, life and disability insurance, generous paid time off including parental and family care leave, an employee stock purchase plan and a 401(k) plan with a company match.

Experian Careers – Creating a better tomorrow together

Experian is proud to be an Equal Opportunity and Affirmative Action employer. Our goal is to create a thriving, inclusive and diverse team where people love their work and love working together. We believe that diversity, equity and inclusion is essential to our purpose of creating a better tomorrow. We value the uniqueness of every individual and want you to bring your whole, authentic self to work. For us, this is The Power of YOU and and it reflects what we believe. See our DEI work in action!

If you live in Colorado, Connecticut or New York City, please contact us here for the salary range of this position (include this Job Title in your email). In addition to a competitive base salary and variable pay opportunity, Experian offers a comprehensive benefits package including health, life and disability insurance, generous paid time off including parental and family care leave, an employee stock purchase plan and a 401(k) plan with a company match.

Experian Careers – Creating a better tomorrow together

Find out what its like to work for Experian by clicking here
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Senior Machine Learning Engineer at Kensho

Location: New York

Who We Are

Kensho is a 100-person AI and machine learning company, centered around providing cutting-edge solutions to meet the challenges of some of the largest and most successful businesses and institutions. Our toolkit illuminates insights by helping the world better understand, process, and leverage messy data. Specifically, our solutions largely involve natural language processing (NLP) and include speech recognition (ASR), entity linking (Named Entity Disambiguation), structured document extraction, automated database linking, text classification, and more. We are continuously expanding our portfolio and are looking for passionate researchers to help us build and deploy state-of-the-art models across a variety of domains!

At Kensho, we believe in flexibility-first, and give our employees the opportunity to work from where they feel most productive and engaged (must be in the United States). We also value in-person collaboration, so there may be times when travel to one of our Kensho hubs (NY/DC/MA) will be required for team meetings or company events.

About The Role

Kensho is looking for a Senior ML Engineer to join the group of Machine Learning engineers working on one of the following products: Scribe, Link, Extract, NERD, or Classify. We are looking for talented people who share our passion for bringing to production robust, scalable, and highly accurate models.
What You’ll Do
• Design, build and maintain scalable production-ready ML systems
• Actively participate in the ML model lifecycle, from problem framing to training, deployment and monitoring in production
• Partner with ML Operations team to deliver solutions for automating ML model lifecycle, from technical design to implementation
• Work in a cross-functional team of ML engineers, Product Managers, Designers, Backend & Frontend engineers who are passionate about their product
• Mentor and lead other ML Scientists and Engineers to help make our team even more awesome!
Who You Are
• Outstanding people come from all different backgrounds, and we’re always interested in meeting talented people! Therefore, we do not require any particular credential or experience. If our work seems exciting to you, and you feel that you could excel in this position, we’d love to hear from you.
• That said, most successful candidates will fit the following profile, which reflects both our technical needs and team culture:
• Have 5+ years of significant, hands-on experience with ML/NLP (e.g., designing, shipping, and maintaining production systems)
• Experienced in automating ML model lifecycle
• Are comfortable with modern tools for building ML pipelines, including data processing, training, inference, and evaluation
• Have expertise in Python and Python-based ML frameworks (e.g., PyTorch or TensorFlow)
• Able and excited to lead initiatives from the ideation stage to implementation
• Exercise strong communication skills and can effectively express even complicated methods and results to a broad, often non-technical audience
Technologies We Love
• ML: PyTorch, DGL, NetworkX, XGboost, LightGBM, DVC, NVIDIA NeMo, HuggingFace, Weights & Biases
• Deployment: Airflow, Docker, Kubernetes, AWS
• Datastores: Postgres, Elasticsearch, SQLite, S3

At Kensho, we pride ourselves on providing top-of-market benefits, including:

– Medical, Dental, and Vision insurance

– 100% company paid premiums

– Unlimited Paid Time Off

– 26 weeks of 100% paid Parental Leave (paternity and maternity)

– 401(k) plan with 6% employer matching

– Generous company matching on donations to non-profit charities

– Up to $20,000 tuition assistance toward degree programs, plus up to $4,000/year for ongoing professional education such as industry conferences

– Plentiful snacks, drinks, and regularly catered lunches

– Dog-friendly office (CAM office)

– In-office gyms and showers (CAM, DC)

– Bike sharing program memberships

– Compassion leave and elder care leave

– Mentoring and additional learning opportunities

– Opportunity to expand professional network and participate in conferences and events

About Kensho

Kensho uses machine learning, artificial intelligence, natural language processing and data visualization techniques to solve some of the hardest analytical problems and create breakthrough financial intelligence solutions for our parent company, S&P Global.

Kensho was founded in 2013 by Harvard & MIT alums and was acquired by S&P Global in 2018. Kensho continues to operate as a startup in order to maintain our distinct, independent brand and to promote our breakthrough, innovative culture. Our team of Kenshins enjoy a dynamic and collaborative work environment that runs autonomously from S&P, while leveraging the unparalleled breadth and depth of data and resources available as part of S&P Global. As Kenshins, we pride ourselves on maintaining an innovative culture that depends on diversity and inclusion.

We are an equal opportunity employer that welcomes future Kenshins with all experiences and perspectives. Kensho is headquartered in Cambridge, MA, with offices in New York City, and Washington D.C. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.
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Senior Software Engineer II, Machine Learning, Ad Ranking at Etsy

Location: New York

Company Description

Etsy is the global marketplace for unique and creative goods. We build, power, and evolve the tools and technologies that connect entrepreneurs with buyers around the world. Etsy, Inc.’s ‘house of brands’ portfolio has expanded to now include four individually distinct ecommerce brands — Etsy, fashion resale marketplace Depop, musical instrument marketplace Reverb, and Brazil-based handmade goods marketplace Elo7. As an Etsy employee, you’ll tackle unique problems alongside talented coworkers committed to Keeping Commerce Human. We’re large enough that you’ll focus on meaningful, complex challenges, but small enough that you can make a rewarding impact.

Job Description

What’s the role?

Etsy is hiring a Senior Machine Learning Engineer to join the Ad Ranking advertising team. Our team develops custom machine-learning models that can drive product vision and customer impact. We are looking for individuals who are product and delivery-driven, and are passionate about making ML innovations in digital advertising to help improve the Etsy buyer/seller experience.

This is a fantastic opportunity for someone interested in building user-centric ML systems for a two-sided marketplace with 90+ million buyers, 5+ million sellers, and hundreds of millions of unique, handmade, vintage listings. Etsy sellers use Etsy ads for advertising their products and growing their business. Etsy Ads optimizes sellers’ budgets to advertise their listings in the places on Etsy where they perform best. The work on the Ads team includes building machine learning systems we use for ad ranking, bidding, budget pacing, and dynamic ad experiences on Etsy.com and the Etsy app. You can learn more one of our recent projects on our Engineering blog

This is a full-time position reporting to the Engineering Manager. For this role, we are considering candidates based in the U.S. who are either remote, flex, or office-based. Etsy offers different work modes to meet the variety of needs and preferences of our team. Learn more about our flexible work options and vaccination policy here.

What’s the day-to-day look like?
• Work cross functionally with product engineering teams and communicate your ideas and model capabilities to product managers
• Push the state of the art and apply the latest advances in deep learning and machine learning to improve buyer and seller experiences on Etsy
• Prototype, optimize, and productionize large-scale ML models that help deliver key results
• Conduct A/B experiments to validate the effectiveness of ML models and pipelines
• Work closely with product managers, ML engineers, full-stack engineers, and designers on product teams to deliver content to tens of millions of users
• Of course, this is just a sample of the kinds of work this role will require! You should assume that your role will encompass other tasks, too, and that your job duties and responsibilities may change from time to time at Etsy’s discretion, or otherwise applicable with local law.

Qualifications

Qualities that will help you thrive in this role are:
• You have a track record of applying machine learning techniques in addressing real-world problems
• You have focused expertise in one of the following fields: natural language processing, image processing, reinforcement learning, deep learning,
• You have experience training, deploying, monitoring, debugging and iterating on production machine learning systems.
• You are proficient with databases, SQL, and scripting languages.
• You have the ability to apply statistical techniques to tackle real problems.
• You have successfully taken requirements from design through to delivery both independently and with a team.
• You write understandable, testable code and you have an eye towards maintainability.
• You care about the implications of your work on end users.

What’s Next

Additional Information

If you’re interested in joining the team at Etsy, please send a cover letter and resume telling us why you’d be right for the position. As you’ve hopefully seen already, Etsy is a place that values individuality and variety. We don’t want you to be like everyone else — we want you to be like you! So write to us and tell us what you’re all about.

Our Promise

At Etsy, we believe that a diverse, equitable and inclusive workplace makes us a more relevant, more competitive, and more resilient company. We encourage people from all backgrounds, ages, abilities, and experiences to apply. Etsy is an equal opportunity employer. We do not discriminate on the basis of race, color, ancestry, religion, national origin, sexual orientation, age, citizenship, marital or family status, disability, gender, gender identity or expression, pregnancy or caregiver status, veteran status, or any other legally protected status. We will ensure that individuals with disabilities are provided reasonable accommodations to participate in the job application and interview process, to perform essential job functions, and to receive other benefits and privileges of employment. While Etsy supports visa sponsorship, sponsorship opportunities may be limited to certain roles and skillsets.

For U.S. Roles Only

Many Etsy roles are open to remote candidates, and you’ll be able to identify which ones within the location header of each job description. We’re open to remote hires from all U.S. states except Hawaii and Alaska. For candidates who will work remotely from Colorado, visit this link for information related to Colorado’s Equal Pay for Equal Work Act.
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Lead Machine Learning Engineer (Remote- Eligible) at Capital One

Location: Haworth

Center 1 (19052), United States of America, McLean, VirginiaLead Machine Learning Engineer (Remote-Eligible)

As a Capital One Machine Learning Engineer (MLE), you’ll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You’ll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering.

What you’ll do in the role:
• The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you’ll be expected to perform many ML engineering activities, including one or more of the following:
• Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams.
• Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation).
• Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment.
• Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications.
• Retrain, maintain, and monitor models in production.
• Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale.
• Construct optimized data pipelines to feed ML models.
• Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code.
• Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI.
• Use programming languages like Python, Scala, or Java.

Capital One is open to hiring a Remote Employee for this opportunity

Basic Qualifications:
• Bachelor’s degree
• At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply)
• At least 4 years of experience programming with Python, Scala, or Java
• At least 2 years of experience building, scaling, and optimizing ML systems

Preferred Qualifications:
• Master’s or doctoral degree in computer science, electrical engineering, mathematics, or a similar field
• 3+ years of experience building production-ready data pipelines that feed ML models
• 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow
• 2+ years of experience developing performant, resilient, and maintainable code
• 2+ years of experience with data gathering and preparation for ML models
• 2+ years of people leader experience
• 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation
• Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform
• Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance
• ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents

At this time, Capital One will not sponsor a new applicant for employment authorization for this position. No agencies please. Capital One is an Equal Opportunity Employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex, race, color, age, national origin, religion, physical and mental disability, genetic information, marital status, sexual orientation, gender identity/assignment, citizenship, pregnancy or maternity, protected veteran status, or any other status prohibited by applicable national, federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at (see below) . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One’s recruiting process, please send an email to (see below)

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
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For Remote Lead Machine Learning Engineer (Remote- Eligible) roles, visit Remote Lead Machine Learning Engineer (Remote- Eligible) Roles

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Software Engineer, Machine Learning, Planner / Behavior Prediction at Waymo

Location: New York

• Waymo is an autonomous driving technology company with a mission to make it safe and easy for people and things to get where they’re going.
• Since our start as the Google Self-Driving Car Project in 2009, Waymo has been focused on building the World’s Most Experienced Driver in hopes of improving the world’s access to mobility while saving thousands of lives now lost to traffic crashes.
• Our Waymo Driver powers Waymo One, our fully autonomous ride-hailing service, as well as Waymo Via, our trucking and local delivery service.
• To date, Waymo has driven over 20 million miles autonomously on public roads across 25 U.S. cities and conducted over 20 billion miles of simulation testing.
• Software Engineering builds the brains of Waymo’s fully autonomous driving technology.
• Our software allows the Waymo Driver to perceive the world around it, make the right decision for every situation, and deliver people safely to their destinations.
• We think deeply and solve complex technical challenges in areas like robotics, perception, decision-making and deep learning, while collaborating with hardware and systems engineers.
• If you’re a software engineer or researcher who’s curious and passionate about Level 4 autonomous driving, we’d like to meet you.
• + Work with a creative team of people who are responsible for ensuring that the behavior of our cars is safe, smooth, and predictable to other road users, which includes gracefully handling many complex situations involving social aspects (merging, negotiating narrow roads, etc), while dealing with noisy, uncertain, and incomplete information.
• + Frame the open-ended real-world problems into well-defined ML problems; develop and apply cutting-edge ML approaches (deep learning, reinforcement learning, imitation learning, decision trees, etc) to these problems; scale them to Google-sized data pipelines; and streamline them to run in real-time on the cars.
• + Collaborate with other teams, including the ML infrastructure, perception and systems engineering teams, as well as various research teams such as Waymo research, Google Brain, DeepMind and academia.
• + MS/PHD in Computer Science, Robotics, similar technical field of study, or equivalent practical experience
• + Experience solving problems using Machine Learning with Tensorflow or equivalent tools
• + Ability to collaborate within and across teams
• + Strong experience programming in C
• with robust and efficient code
• + Experience specifically with applying Machine Learning to solve motion planning or related robotics problems
• + Experience with Deep Learning Models (e.g. RNN/LSTM, CNN, VAE, GAN, etc.)
• Note: The following is only applicable for roles hired in the US. As we keep the safety of our employees and our communities top of mind, COVID-19 vaccinations continue to be a critical prevention measure to help end the pandemic.
• If you are unable to be vaccinated, Waymo will provide a reasonable accommodation consistent with applicable law.
• We appreciate your interest in Waymo.
• Waymo is an equal employment opportunity employer.
• Waymo’s policy is not to discriminate against any applicant or employee based on race, color, sex, religion, national origin, age, disability, military status, genetic information or any other characteristic protected by law.
• Waymo also prohibits harassment of applicants or employees based on any of these protected categories.
• Waymo will also consider for employment qualified applicants with criminal records in accordance with applicable law.
• Waymo also makes workplace accommodations for qualified individuals with disabilities as required by applicable law.
Apply Here
For Remote Software Engineer, Machine Learning, Planner / Behavior Prediction roles, visit Remote Software Engineer, Machine Learning, Planner / Behavior Prediction Roles

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Machine Learning / Computer Vision Research Scientist at Hitachi Careers

Location: New York

Description
Research Scientist, Machine Learning/Computer Vision

Company: Hitachi America, Ltd.

Division: R&D/Industrial AI Lab

Location: Santa Clara, CA

Status: Regular, Full-Time

Summary

Hitachi America, Ltd. (http://www.hitachi-america.us/) has openings for Research Scientists in the Industrial AI Laboratory located in Silicon Valley. The mission of this laboratory is to help create new and innovative solutions in Artificial Intelligence and advanced analytics for industrial applications. The laboratory focuses on research, technology innovation, proof-of-concept activities, technical marketing and business development for novel big data solutions, leveraging Hitachi’s technologies, reinforcing Hitachi’s messaging around data analytics, and establishing Hitachi as a leader in industrial AI.

We are seeking research scientists in Artificial Intelligence with focus on computer vision, and deep learning to create innovate algorithms and solutions for smart industry, social innovation and the Industrial Internet of Things. The successful candidate will have an opportunity to solve challenging real world problems, work on massive industrial data and to contribute solutions that will benefit society. This position is a perfect match for a visionary scientist who is passionate about the unlimited potential of machine learning/AI/data mining/statistics for solving real problems and empowering society, industry and the things that matter.

More information about the research done at the laboratory can be found at:

http://www.hitachi-america.us/rd/

More information about Hitachi Industrial IoT technology can be found at:

https://www.hitachivantara.com/en-us/products/iot.html

Responsibilities:
• Research and develop innovative computer vision, machine learning algorithms and solutions for smart industry, social innovation and the Industrial Internet of Things
• Prepare and execute proof-of-concepts of the solutions with customers
• Work with business units to commercialize the successful proof-of-concepts
• Protect Hitachi’s IP through patents and other activities, and publish technical results in leading venues to establish Hitachi as a leader in industrial AI and advanced analytics.

Qualifications:
• Ph. D degree in Computer Science or a related field
• Strong research experience in computer vision, deep learning, other machine learning algorithms and their applications
• Excellent programming skills and knowledge of data science tools and libraries in Python or R – Knowledge of big data platforms and MLOps is a plus
• Self-motivated and passionate about solving real-world problems and building innovative systems with AI and big data analytics
• Demonstrated ability to effectively create and deliver technical communications, including patent applications, presentations, papers, and reports
• Ability to collaborate successfully with R&D co-workers, Hitachi group company customers, partners, engineers, and business units in Hitachi with the goal of commercializing the proposed solution
• Ability to travel within the US and internationally as needed

EOE-Females/Minorities/Protected Veterans/Individuals with Disabilities

If you need a reasonable accommodation to apply for a job at Hitachi, please send the nature of request and contact information to accommodation@hal.hitachi.com. Queries other than accommodation requests will not be responded to.

Equal Opportunity Employer (EOE)-Females/Minorities/Protected Veterans/Individuals with Disabilities

If you need a reasonable accommodation to apply for a job at Hitachi, please send the nature of request and contact information to accommodation@hal.hitachi.com. Queries other than accommodation requests will not be responded to.
Apply Here
For Remote Machine Learning / Computer Vision Research Scientist roles, visit Remote Machine Learning / Computer Vision Research Scientist Roles

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