Fulltime Machine Learning Engineers openings in California on September 23, 2022

2023 Machine Learning Engineer – New Grad at Zoom

Location: None

Work Styles at Zoom

In most cases, you will have the opportunity to choose your preferred working location from the following options when you join Zoom: in-person, hybrid or remote. Visit this page for more information about Zoom’s Workstyles.

About Us

Zoomies help people stay connected so they can get more done together. We set out to build the best video product for the enterprise, and today help people communicate better with products like Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinars.

We’re problem-solvers, working at a fast pace to design solutions with our customers and users in mind. Here, you’ll work across teams to deliver impactful projects that are changing the way people communicate and enjoy opportunities to advance your career in a diverse, inclusive environment.

What you will do:

Be part of a team whose focus is to solve cutting edge AI problems and deploy models that constantly advance the state-of-the-art. You will be working across various NLP areas like STT, translation, summarization, sentiment analysis, TTS, and other interesting challenges that are challenging at Zoom’s scale.

Responsibilities :
• Build and deploy state of the art ML models for NLP use cases
• Build large scale training and inference pipelines
• Build and scale realtime ML services which enable Zoom’s products
• Take ML models from Research all the way to production
• Build metrics, dashboards to measure both ML and system performance
• Work closely with the Research teams build required tools and services to make them productive
• Work closely with the product and operations teams to integrate ML services seamlessly into the products
• Work closely with various teams on data acquisition, cleanup and related tooling

Qualifications
• Currently pursuing a Master’s or PhD degree in Computer Science, Artificial Intelligence, Machine Learning, or related STEM field with an expectation that degree will be obtained by July 2023 or earlier
• Strong coding skills in Python, C/C++, or Java
• Experience with one or more of the following: Natural Language Processing, text understanding, classification, ranking systems or similar
• Experience in Machine Learning toolkits (TensorFlow, PyTorch)
• Familiarity with large-scale data processing and distributed systems
• Proven mathematical knowledge; understanding of machine learning, statistics
• Relevant professional experience with applied data analytics and predictive modeling

Bonus Qualifications
• Experience framework such as MLflow, Kubeflow, Airflow, Seldon Core, TFServing etc
• Experience in distributed training and performance optimization on GPU’s
• Expertise in crafting Data Models for high performance and scalability
• Autoscaling, containers, performance tuning and optimization
• Experience with Deep Learning for NLP
• Strong verbal and written communication skills

We believe that the unique contributions of all Zoomies is the driver of our success. To make sure that our products and culture continue to incorporate everyone’s perspectives and experience we never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. Zoom is proud to be an equal opportunity workplace and is an affirmative action employer. All your information will be kept confidential according to EEO guidelines.

We welcome people of different backgrounds, experiences, abilities and perspectives including qualified applicants with arrest and conviction records and any qualified applicants requiring reasonable accommodations in accordance with the law. If you need any assistance or accommodations due to a medical condition, or if you need assistance accessing our website or completing the application process, please let us know by emailing us at careers@zoom.us.

Zoom requires all U.S. employees who will work in person at a Zoom office, attend in-person Zoom meetings or have in-person customer meetings to be fully vaccinated. Zoom will consider requests for reasonable accommodations for religious or medical reasons as required under applicable law.

At Zoom, we care about our employees, their families, and their well-being. As part of our award-winning workplace culture and commitment to delivering happiness, our benefits program offers a variety of perks, benefits, and options to help employees maintain their physical, mental, emotional, and financial health; support work-life balance; and contribute to their community in meaningful ways. To view our benefits, click here.

Explore Zoom:
• Hear from our leadership team
• Browse Awards and Employee Reviews on Comparably
• Visit our Blog
• Zoom with us!
• Find us on social at the links below and on Instagram
• View more jobs, sign up for job alerts and join our talent community. Visit the Zoom careers site.

#LI-Remote
Apply Here
For Remote 2023 Machine Learning Engineer – New Grad roles, visit Remote 2023 Machine Learning Engineer – New Grad Roles

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Senior Machine Learning Engineer at Gemini

Location: Los Angeles

Empower the Individual Through Crypto

Gemini is a crypto exchange and custodian that allows customers to buy, sell, store, and earn more than 30 cryptocurrencies like bitcoin, bitcoin cash, ether, litecoin, and Zcash. Gemini is a New York trust company that is subject to the capital reserve requirements, cybersecurity requirements, and banking compliance standards set forth by the New York State Department of Financial Services and the New York Banking Law. Gemini was founded in 2014 by twin brothers Cameron and Tyler Winklevoss to empower the individual through crypto.

Crypto is about giving you greater choice, independence, and opportunity. We are here to help you on your journey. We build crypto products that are simple, elegant, and secure. Whether you are an individual or an institution, we want to help you buy, sell, and store your bitcoin and cryptocurrency. Crypto is not just a technology, it’s a movement.

At Gemini, our mission is to empower the individual and that includes giving our employees flexibility of choice – our Office Optional Policy allows employees to choose to work from one of our physical locations or from home.

Select roles that are location-specific will still be eligible for flexible schedules.

The Department: Data

Data is central to all of our business functions and drive many of our most important decisions at Gemini. As a result, the analysts, scientists, and engineers that make up the Data team are uniquely positioned to advise and influence cross-functional projects. These projects cover a wide-range of topics including product strategy, user acquisition and journey, cryptocurrency performance and project development, and crypto’s position as a technology, industry, and asset class within the context of the global financial markets at large.

The Role: Senior Machine Learning Engineer (Python)

The Data Science team and AI stack are looking for senior data scientists and machine learning engineers who are interested in solving diverse and complex business problems. You will leverage your experience and communication skills to work across business teams to build and develop innovative machine learning models and algorithms.

Responsibilities
• Be able to distill complex models and analysis into compelling insights for our stakeholders and executives
• Ensure data quality throughout all stages of acquisition and processing, including such areas as data sourcing/collection, ground truth generation, normalization, transformation, cross-lingual alignment/mapping, etc.
• Develop new tools and solutions to enable stakeholders to consume and understand data more intuitively
• Stay up-to-date with data science tools and methodologies in technology and financial domain
• Knowledge of probability and statistics, including experimental design, predictive modeling, optimization, and causal inference. Experience in design and deployment of real-world, large-scale, user-facing systems
• Manage your own process: identify and execute on high impact projects, triage external requests, and make sure you bring projects to conclusion in time for the results to be useful
Qualifications
• Masters or PhD(preferred) in Statistics, Applied Math, Computer Science or related fields
• 4+ years of work experience in analytics and data science domain focusing on business problems
• 3+ years of experience deploying statistical and machine learning models in production
• 2+ years of experience in integrating data science models into applications
• Skilled in programming languages like Python, Java/C++/C# and SQL
• Sound knowledge in dealing with large data sets for analytical approach and quantitative methods
• Solid understanding of machine learning fundamentals, and familiar with standard algorithms and techniques
• Good understanding of deep learning algorithms and workflows
• Ability to analyze a wide variety of data: structured and unstructured, observational and experimental, to drive system designs and product implementations
• Good understanding of cloud computing and infrastructure concepts
• Experience with one or more big data tools and technologies like Snowflake, Databricks, S3, Hadoop, Spark
• Experience working with NLP applications is a plus
• Experience with financial markets and/or retail finance is a plus. Specifically, across market making, trading, risk management, orderbooks, portfolio management, credit cards and fraud.
• Strong technical and business communication
It Pays to Work Here

We take a holistic approach to compensation at Gemini, which includes:
• Competitive Compensation and Profit-Sharing Equity
• Flexible vacation policy
• Retirement Plan Matching
• Generous Parental leave
• Comprehensive health plans
• Training and professional development
At Gemini, we strive to build diverse teams that reflect the people we want to empower through our products, and we are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. Equal Opportunity is the Law, and Gemini is proud to be an equal opportunity workplace and affirmative action employer. If you have a specific need that requires accommodation, please let a member of the People Team know.
Apply Here
For Remote Senior Machine Learning Engineer roles, visit Remote Senior Machine Learning Engineer Roles

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Machine Learning Engineer I/II/III+ at Actalent

Location: San Jose

• Description:* The job market is roaring for skilled engineering talent, especially so for Machine Learning / Data Engineers. At Actalent we represent engineers into opportunities with some of the best companies throughout the SF Bay Area in a variety of industries. We work hard to ensure you are properly compensated and find yourself in a work environment that is the right fit for you. We’re looking for experienced Machine Learning / Data Engineers looking to take control of their career and head into the next level!
• Key Responsibilities:*
• Build end-to-end machine learning solutions to solve complex customer problems.
• Collaborate with applied researchers to ensure they are well-calibrated on the constraints of the production system, ensuring their research proceeds along practical pathways as they explore novel techniques to tackle previously unsolved problems.
• Effectively communicate technical machine learning results in a business context where most people are not machine learning experts.
• Build the systems to help applied researchers scale their models in a production environment.
• Design experiments, including for offline prototypes in a statistically sound way that will provide actionable data and enable us to make reliable decisions as we iterate on a project.
• Promote excellence and best practices across the machine learning team in regards to research, implementation, tooling, and system design.
• Work cross-functionally across multiple partner teams to get new features shipped across our many interfaces.
• Skills:* Master data, Data analysis, computer architecture, algorithm, data structure, python, R, c/c++, semiconductor, shark, Libsvm, mlpack, api, Theano, tensorflow
• Top Skills Details:* Master data, Data analysis, computer architecture, algorithm, data structure, python, R, c/c++
• Additional Skills & Qualifications:*
• BS, MS or PhD Degree in Engineering (or) Science (or) Mathematics (or) Information Systems (or) Computer Science (or) Mathematics (or) Science
• Understands traditional machine learning algorithms and how to use them effectively in practice.
• Is familiar with deep learning and its applications in industry.
• Has a strong working knowledge of statistics as it relates to sampling methodologies and designing experiments
• Understands data structures and algorithms at a level sufficient to write performant code when working with large datasets or large incoming data streams.
• Is aware of NLP techniques to effectively work with very high-dimensional, sparse data.
• Has enough experience with academic research to be comfortable reading and implementing papers to reproduce their results.
• Experience Level:* Expert Level

About Actalent:

Actalent connects passion with purpose. Our scalable talent solutions and services capabilities drive value and results and provide the expertise to help our customers achieve more. Every day, our experts around the globe are making an impact. We’re supporting critical initiatives in engineering and sciences that advance how companies serve the world. Actalent promotes consultant care and engagement through experiences that enable continuous development. Our people are the difference. Actalent is an operating company of Allegis Group, the global leader in talent solutions. The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.
Apply Here
For Remote Machine Learning Engineer I/II/III+ roles, visit Remote Machine Learning Engineer I/II/III+ Roles

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Software Engineer, Machine Learning at Meta

Location: Los Angeles

Meta is embarking on the most transformative change to its business and technology in company history, and our Machine Learning Engineers are at the forefront of this evolution. By leading crucial projects and initiatives that have never been done before, you have an opportunity to help us advance the way people connect around the world. The ideal candidate will have industry experience working on a range of recommendation, classification, and optimization problems. You will bring the ability to own the whole ML life cycle, define projects and drive excellence across teams. You will work alongside the world’s leading engineers and researchers to solve some of the most exciting and massive social data and prediction problems that exist on the web.

Software Engineer, Machine Learning Responsibilities:
• Leading projects or small teams of people to help them unblock, advocating for ML excellence
• Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)
• Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based models
• Suggest, collect and synthesize requirements and create effective feature roadmaps
• Code deliverables in tandem with the engineering team

Minimum Qualifications:
• 5+ years of experience in software engineering or a relevant field. 3+ years of experience if you have a PhD
• 1+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or a related technical field
• Experience with developing machine learning models at scale from inception to business impact
• Knowledge developing and debugging in C/C++ and Java, or experience with scripting languages such as Python, Perl, PHP, and/or shell scripts
• Track record of setting technical direction for a team, driving consensus and successful cross-functional partnerships
• Bachelor’s degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

Preferred Qualifications:
• Masters degree or PhD in Computer Science or a related technical field
• Exposure to architectural patterns of large scale software applications

Facebook is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.Facebook is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at .
Apply Here
For Remote Software Engineer, Machine Learning roles, visit Remote Software Engineer, Machine Learning Roles

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Sr. Machine Learning Engineer at Barracuda

Location: Campbell

JOB ID: 23-467

Come Join Our Team! At Barracuda, we make the world a safer place. We believe every business deserves access to cloud-enabled, enterprise-grade security solutions that are easy to buy, deploy, and use. We protect email, networks, data, and applications with innovative solutions that grow and adapt with our customers’ journey. More than 220,000 organizations worldwide trust Barracuda to protect them — in ways they may not even know they are at risk — so they can focus on taking their business to the next level.

We know a diverse workforce adds to our collective value and strength as an organization. Barracuda Networks is proud to be an Equal Opportunity Employer, committed to equal employment opportunity and equitable compensation regardless of race, gender, religion, sex, sexual orientation, national origin, or disability.

Envision yourself at Barracuda

We are seeking a passionate, experienced Machine Learning Engineer who thrives in a highly collaborative, team environment to join our Email Security product team. You will be developing innovative algorithms that focus on sophisticated email attacks. The product scans millions of emails every hour and uses machine learning models to catch advanced threats, such as phishing, conversation hijacking and account takeover.

The right candidate will have a strong entrepreneurial spirit, an extreme sense of ownership and a deep desire to make our customers happy. You will be working with exceptionally talented and passionate Machine Learning engineers focused on delivering impactful solutions. Our products are built using modern ML (Machine Learning) frameworks and tools and are deployed to AWS (Amazon Web Services) and Databricks.

You will be working on:
• Analyze vast amounts of email data to identify fraud and devise innovative algorithms to detect it in real-time
• Build and train machine learning classifiers to detect email fraud with high precision and recall
• Evaluate the performance of your algorithms and continuously optimize them
• Collaborate with an elite team of software engineers to scale your algorithms and bring them to production
• Work with cutting edge ML technologies

What you bring to the role:
• Proven track record in developing production-grade machine learning algorithms that solve practical problems.
• Solid understanding of multiple ML frameworks, major ML algorithms and techniques (example: data discretization, normalization, sampling, linear regression, decision trees, neural networks)
• Visceral understanding of probability and supervised/unsupervised learning
• 4+ years of experience in analyzing large structured and unstructured data using Python (or other relevant languages)
• Bachelor’s degree in Computer Science or Electrical Engineering; advanced degree is a plus, or equivalent work experience
• Experience in cyber security is a plus, experience in fraud detection is a huge plus
• Experience with NLP, Spark and Databricks are a plus

What you will get from us:

A team where you can voice your opinion, make an impact, and where you and your experience are valued. Internal mobility – there are opportunities for cross training and the ability to attain your next career step within Barracuda.
• High-quality health benefits
• Retirement Plan with employer match
• Career-growth opportunities
• Flexible Time Off and Paid Time Off benefits
• Volunteer opportunities
Apply Here
For Remote Sr. Machine Learning Engineer roles, visit Remote Sr. Machine Learning Engineer Roles

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Machine Learning Engineer – Hybrid Remote at Jobot

Location: Oakland

Series C, $100M+ Backed with REAL valuation and Equity, Creating extremely complex and disruptive software tech! Partial Remote

This Jobot Job is hosted by Eric Shaner

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

Salary $150,000 – $275,000 per year

A Bit About Us
• AI + Cloud Native + Complex and Disruptive Software
• Series C, $100M+ Backed with REAL valuation and Equity for employees
• No deadlines culture = YOU decide when to ship
• No meetings at weird hours = Culture of boundaries = Understand you have a life outside of work
• Mission driven
• Collaborative, always learning, and growing mentality

We are located in Oakland, CA near BART, have secured $100M+ in funding, have a national client base, and are creating unique solutions for the greater good!! You could say that we are on a mission of truth! Our executive team enjoys revolutionizing/disrupting the way technology is created! Our world is becoming more and more plugged in consumers are changing, and our clients are maximizing our expertise to keep up. We have developed unique software solutions and are actively looking for Machine Learning Software Engineers who LOVE the challenge and excitement of a fast growing company! We are looking to DOUBLE our engineering team!

We are on the fast track, so your growth in the next 3 years could be exponential! If this intrigues you, then please read on and apply to learn more.

Why join us?
• Competitive Base Salary! $150k – $275k … name your price
• Extremely Competitive Benefits Package!
• Flexible Work Schedules!
• Equity
• 401k match
• Accelerated Career Growth!
• Autonomy
• Disruption
• Cerebral work culture
• True balance where even the lunch hour is sacred!

Job Details

Your background plus some duties of the role
• PhD in Computer Engineering, Electrical Engineering, Computer Science, Math, Statistics or Physics.
• OR MS with at least two years’ relevant research or work experience is also acceptable.
• Practical coding experience in Python, Java, or C/C++, demonstrated in research projects or prior work experience.
• NLP expertise
• Proven expertise building and validating NLP models with deep learning as well as traditional NLP methods. Hold strong understanding of the real-world advantages and drawbacks of those methods.
• Strong understanding of architecture and its variants
• Ability to handle ambiguity, priorities, and competing objectives. Experience solving highly technical problems.
• Experience in the following areas text processing and construction of corpora; processing of large text collections with standard NLP tool
• Outstanding oral and written communication skills.
• A strategic approach and strong communicator
• Preferred, but not required would be to have worked in a fast-growth company that is scaling fast

We can offer you the opportunity to work in a fast-growth company, make a meaningful and important impact on today’s society and the next generation! Help us revolutionize an industry and enjoy accelerated career growth with amazing benefits!

Feel free to contact me directly –

eric.shaner@

Interested in hearing more? Easy Apply now by clicking the “Apply” button.
Apply Here
For Remote Machine Learning Engineer – Hybrid Remote roles, visit Remote Machine Learning Engineer – Hybrid Remote Roles

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Machine Learning Engineer – Hybrid Remote at Jobot

Location: Irvine

Series C, $100M+ Backed with REAL valuation and Equity, Creating extremely complex and disruptive software tech! Partial Remote

This Jobot Job is hosted by Eric Shaner

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

Salary $150,000 – $275,000 per year

A Bit About Us
• AI + Cloud Native + Complex and Disruptive Software
• Series C, $100M+ Backed with REAL valuation and Equity for employees
• No deadlines culture = YOU decide when to ship
• No meetings at weird hours = Culture of boundaries = Understand you have a life outside of work
• Mission driven
• Collaborative, always learning, and growing mentality

We are located in Oakland, CA near BART, have secured $100M+ in funding, have a national client base, and are creating unique solutions for the greater good!! You could say that we are on a mission of truth! Our executive team enjoys revolutionizing/disrupting the way technology is created! Our world is becoming more and more plugged in consumers are changing, and our clients are maximizing our expertise to keep up. We have developed unique software solutions and are actively looking for Machine Learning Software Engineers who LOVE the challenge and excitement of a fast growing company! We are looking to DOUBLE our engineering team!

We are on the fast track, so your growth in the next 3 years could be exponential! If this intrigues you, then please read on and apply to learn more.

Why join us?
• Competitive Base Salary! $150k – $275k … name your price
• Extremely Competitive Benefits Package!
• Flexible Work Schedules!
• Equity
• 401k match
• Accelerated Career Growth!
• Autonomy
• Disruption
• Cerebral work culture
• True balance where even the lunch hour is sacred!

Job Details

Your background plus some duties of the role
• PhD in Computer Engineering, Electrical Engineering, Computer Science, Math, Statistics or Physics.
• OR MS with at least two years’ relevant research or work experience is also acceptable.
• Practical coding experience in Python, Java, or C/C++, demonstrated in research projects or prior work experience.
• NLP expertise
• Proven expertise building and validating NLP models with deep learning as well as traditional NLP methods. Hold strong understanding of the real-world advantages and drawbacks of those methods.
• Strong understanding of architecture and its variants
• Ability to handle ambiguity, priorities, and competing objectives. Experience solving highly technical problems.
• Experience in the following areas text processing and construction of corpora; processing of large text collections with standard NLP tool
• Outstanding oral and written communication skills.
• A strategic approach and strong communicator
• Preferred, but not required would be to have worked in a fast-growth company that is scaling fast

We can offer you the opportunity to work in a fast-growth company, make a meaningful and important impact on today’s society and the next generation! Help us revolutionize an industry and enjoy accelerated career growth with amazing benefits!

Feel free to contact me directly –

eric.shaner@

Interested in hearing more? Easy Apply now by clicking the “Apply” button.
Apply Here
For Remote Machine Learning Engineer – Hybrid Remote roles, visit Remote Machine Learning Engineer – Hybrid Remote Roles

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Machine Learning Engineer at Apple

Location: San Diego

Posted: Sep 22, 2022

Weekly Hours: 40

Role Number:200426862

Be a part of the Machine Vision team! We build customized solutions for the metrology and defect detection for iPhone, iPad, Mac, and future products. In this position, you will architect, develop and deploy software used in the factory to manufacture Apple’s new products. This involves collaborating with other engineers within the Machine Vision team, and our partners throughout Apple. Be one of the first people in the world to witness new Apple products being crafted for the first time.

Key Qualifications
• A clear understanding of the software life cycle and current software best practices and tools.
• Strong experience in complex SW modularization, scalability, unit testing, regression testing, and integration.
• Strong command of C/C++ and an object-oriented language.
• A working knowledge of Matlab, plus a basic understanding in image processing and algorithm development.
• Excellent written and interpersonal skills; clear communication with diverse teams. Fluency in both oral and written English.
• A positive outlook towards stepping into uncharted technology space and working hard to deliver solutions in a timely fashion.
• Excellent judgment; a self-directed, proactive approach to tackling problems, and an ability to generate trust and to build good working relationships with colleagues.

Description

We are currently seeking an individual with strong software skills, with a solid command of C/C++ or any object oriented language, and with a willingness to learn Objective-C. You will work with a team of world-class engineers to develop and deploy mass-production friendly solutions for all Apple products. This would include architecting, developing, deploying and triaging software used in the factory during manufacture of new products. Responsibilities would include triaging and diagnosing issues with cross-functional teams from diverse engineering backgrounds during new product bringup, as well as working with external vendors on defining better solutions and processes.

Education & Experience

BS/MS in CS / CE, or equivalent experience.

Additional Requirements
• 5+ years of professional software development experience (internships/co-ops/university experience are applicable)
• C++14/C++17, working knowledge of templates, and parallel programming.
• SW development targeting GPU hardware (CUDA, Metal, etc)
• Experience with OS X programming using the Xcode tool chain
• Scripting skills using Python or Bash
• Experience collaborating with team members in different time zones
• Up to 5% international travel
Apply Here
For Remote Machine Learning Engineer roles, visit Remote Machine Learning Engineer Roles

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Machine Learning Engineer – Hybrid Remote at Jobot

Location: San Jose

Series C, $100M+ Backed with REAL valuation and Equity, Creating extremely complex and disruptive software tech! Partial Remote

This Jobot Job is hosted by Eric Shaner

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

Salary $150,000 – $275,000 per year

A Bit About Us
• AI + Cloud Native + Complex and Disruptive Software
• Series C, $100M+ Backed with REAL valuation and Equity for employees
• No deadlines culture = YOU decide when to ship
• No meetings at weird hours = Culture of boundaries = Understand you have a life outside of work
• Mission driven
• Collaborative, always learning, and growing mentality

We are located in Oakland, CA near BART, have secured $100M+ in funding, have a national client base, and are creating unique solutions for the greater good!! You could say that we are on a mission of truth! Our executive team enjoys revolutionizing/disrupting the way technology is created! Our world is becoming more and more plugged in consumers are changing, and our clients are maximizing our expertise to keep up. We have developed unique software solutions and are actively looking for Machine Learning Software Engineers who LOVE the challenge and excitement of a fast growing company! We are looking to DOUBLE our engineering team!

We are on the fast track, so your growth in the next 3 years could be exponential! If this intrigues you, then please read on and apply to learn more.

Why join us?
• Competitive Base Salary! $150k – $275k … name your price
• Extremely Competitive Benefits Package!
• Flexible Work Schedules!
• Equity
• 401k match
• Accelerated Career Growth!
• Autonomy
• Disruption
• Cerebral work culture
• True balance where even the lunch hour is sacred!

Job Details

Your background plus some duties of the role
• PhD in Computer Engineering, Electrical Engineering, Computer Science, Math, Statistics or Physics.
• OR MS with at least two years’ relevant research or work experience is also acceptable.
• Practical coding experience in Python, Java, or C/C++, demonstrated in research projects or prior work experience.
• NLP expertise
• Proven expertise building and validating NLP models with deep learning as well as traditional NLP methods. Hold strong understanding of the real-world advantages and drawbacks of those methods.
• Strong understanding of architecture and its variants
• Ability to handle ambiguity, priorities, and competing objectives. Experience solving highly technical problems.
• Experience in the following areas text processing and construction of corpora; processing of large text collections with standard NLP tool
• Outstanding oral and written communication skills.
• A strategic approach and strong communicator
• Preferred, but not required would be to have worked in a fast-growth company that is scaling fast

We can offer you the opportunity to work in a fast-growth company, make a meaningful and important impact on today’s society and the next generation! Help us revolutionize an industry and enjoy accelerated career growth with amazing benefits!

Feel free to contact me directly –

eric.shaner@

Interested in hearing more? Easy Apply now by clicking the “Apply” button.
Apply Here
For Remote Machine Learning Engineer – Hybrid Remote roles, visit Remote Machine Learning Engineer – Hybrid Remote Roles

********

Machine Learning Engineer – Hybrid Remote at Jobot

Location: San Diego

Series C, $100M+ Backed with REAL valuation and Equity, Creating extremely complex and disruptive software tech! Partial Remote

This Jobot Job is hosted by Eric Shaner

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

Salary $150,000 – $275,000 per year

A Bit About Us
• AI + Cloud Native + Complex and Disruptive Software
• Series C, $100M+ Backed with REAL valuation and Equity for employees
• No deadlines culture = YOU decide when to ship
• No meetings at weird hours = Culture of boundaries = Understand you have a life outside of work
• Mission driven
• Collaborative, always learning, and growing mentality

We are located in Oakland, CA near BART, have secured $100M+ in funding, have a national client base, and are creating unique solutions for the greater good!! You could say that we are on a mission of truth! Our executive team enjoys revolutionizing/disrupting the way technology is created! Our world is becoming more and more plugged in consumers are changing, and our clients are maximizing our expertise to keep up. We have developed unique software solutions and are actively looking for Machine Learning Software Engineers who LOVE the challenge and excitement of a fast growing company! We are looking to DOUBLE our engineering team!

We are on the fast track, so your growth in the next 3 years could be exponential! If this intrigues you, then please read on and apply to learn more.

Why join us?
• Competitive Base Salary! $150k – $275k … name your price
• Extremely Competitive Benefits Package!
• Flexible Work Schedules!
• Equity
• 401k match
• Accelerated Career Growth!
• Autonomy
• Disruption
• Cerebral work culture
• True balance where even the lunch hour is sacred!

Job Details

Your background plus some duties of the role
• PhD in Computer Engineering, Electrical Engineering, Computer Science, Math, Statistics or Physics.
• OR MS with at least two years’ relevant research or work experience is also acceptable.
• Practical coding experience in Python, Java, or C/C++, demonstrated in research projects or prior work experience.
• NLP expertise
• Proven expertise building and validating NLP models with deep learning as well as traditional NLP methods. Hold strong understanding of the real-world advantages and drawbacks of those methods.
• Strong understanding of architecture and its variants
• Ability to handle ambiguity, priorities, and competing objectives. Experience solving highly technical problems.
• Experience in the following areas text processing and construction of corpora; processing of large text collections with standard NLP tool
• Outstanding oral and written communication skills.
• A strategic approach and strong communicator
• Preferred, but not required would be to have worked in a fast-growth company that is scaling fast

We can offer you the opportunity to work in a fast-growth company, make a meaningful and important impact on today’s society and the next generation! Help us revolutionize an industry and enjoy accelerated career growth with amazing benefits!

Feel free to contact me directly –

eric.shaner@

Interested in hearing more? Easy Apply now by clicking the “Apply” button.
Apply Here
For Remote Machine Learning Engineer – Hybrid Remote roles, visit Remote Machine Learning Engineer – Hybrid Remote Roles

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