Fulltime Machine Learning Engineers openings in Boston on September 15, 2022

Software Engineer, Machine Learning at Meta

Location: Boston

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:
• Play a critical role in setting the direction and goals for a sizable team, in terms of project impact, ML system design, and ML excellence
• Adapt standard machine learning methods to best exploit modern parallel environments (eg, distributed clusters, multicore SMP, and GPU)
• Re-evaluate the tradeoffs of already shipped features/ML systems, and you are able to drive large efforts across multiple teams to reduce technical debt, designing from first principles when appropriate
• Leading a team from a technical perspective to develop ML best practices and influence engineering culture
• Be a go-to person to escalate the most complex online/production performance and evaluation issues, that require an in depth knowledge of how the machine learning system interacts with systems around it
• Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based models
• Suggest, collect and synthesize requirements and create effective feature roadmap
• Code deliverables in Tandem with the engineering team
Minimum Qualifications:
• 6+ years of experience in software engineering, or a relevant field. 4+ years of experience if you have a PhD
• 2+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or 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
• Experience demonstrating technical leadership working with teams, owning projects, defining and setting technical direction for projects
• 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 (see below)
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Lead Machine Learning Engineer (Remote- Eligible) at Capital One

Location: Boston

11 West 19th Street (22008), United States of America, New York, New YorkLead 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, Java, or Scala.

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 RecruitingAccommodation@capitalone.com . 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 Careers@capitalone.com

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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Machine Learning Engineer – Remote Eligible at CPS, Inc.

Location: Boston

Here’s a Little Bit Of What They’re Looking For

Opportunity with a diversified, Tech-Led Trading Firm in Chicago looking to add a Machine Learning Engineer to their team. Close to the EL and Metra/Ogilvie, great benefits, perks, and office environment. This role includes developing Python based research tools, managing their internal MLOps Stack and identifying new trading opportunities.

Trading industry salary plus bonus

Won’t be beat from company culture/ work-life perspective

401K w match, Outstanding individual, and family benefits.

Can be fully REMOTE or Hybrid
• Strong Python. Additional libraries a plus(pandas/numpy/anaconda)
• Developing predictive models to maximize performance
• C++, Linux and Cloud infrastructure a plus
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Software Engineer (Leadership) – Machine Learning at Facebook App

Location: Boston

Meta is seeking Machine Learning Engineers to join our engineering team. The ideal candidate will have industry experience working on a range of classification and optimization problems like payment fraud, click-through rate prediction, click-fraud detection, search ranking, text/sentiment classification, collaborative filtering/recommendation, or spam detection. The position will involve taking these skills and applying them to some of the most exciting and massive social data and prediction problems that exist on the web.

Software Engineer (Leadership) – Machine Learning Responsibilities:
• Drive the team’s goals & technical direction to pursue opportunities that make your larger organization more efficient
• Effectively communicate complex features & systems in detail
• Understand industry & company-wide trends to help assess & develop new technologies
• Partner & collaborate with organization leaders to help improve the level of performance of the team & organization
• Identify new opportunities for the larger organization & influence the appropriate people for staffing/prioritizing these new ideas
• Suggest, collect and synthesize requirements and create an effective feature roadmap
• Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules-based models
• Adapt standard machine learning methods to best exploit modern parallel environments (eg distributed clusters, multicore SMP, and GPU)
Minimum Qualifications:
• Experience leading projects with industry-wide impact
• Experience communicating and working across functions to drive solutions
• Experience in mentoring/influencing senior engineers across organizations
• Proven track record of planning multi-year roadmap in which shorter-term projects ladder to the long-term vision
• Experience in driving large cross-functional/industry-wide engineering efforts
• 12+ years of experience in programming languages (Python, C+, Java or R) with technical background
• 8+ years of experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, NLP, data mining or artificial intelligence
• Bachelor’s degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
Preferred Qualifications:
• Experience in shipping products to millions of customers or have started a new line of product
• Experience with Hadoop/HBase/Pig or MapReduce/Sawzall/Bigtable/Hive/Spark
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 (see below)
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Senior Machine Learning Vision Engineer at Symbotic

Location: Boston

Who We Are

Our work matters – robotics is transforming the world of commerce. Every day our intelligent robots are responsible for getting food and merchandise to thousands of stores across North America. We’re an industry changer – we created the first and only fully autonomous, end-to-end supply chain solution. Today, we are driving towards even bigger ideas – and we have the people, technology and leadership to fully realize these aspirations. We have theexcitement and ambition of a startup with the benefits and resources of a proven organization.

The ML Vision Team at Symbotic is expanding, and we’re looking to hire a software engineer to help us build Machine Learning solutions. The candidate will assist in the development of deep learning vision models that will help our fleet of autonomous robots to accomplish their missions safely, accurately, and with super-human efficiency. The engineer is expected to help in all tasks that would develop ML solutions and deploy them to run on our fleet.

In this role you will
• Implement and maintain state-of-the-art on-bot vision solutions using python, C+, Docker, Kubernetes and other modern tools.
• Build on-bot and in-cloud infrastructure to develop and deploy state-of-the-art binocular and 3D vision solutions.
• Design and build dashboards and metrics to help develop and monitor vision solutions.
• Intimately understand the sensor package and work closely with electrical engineers and Linux Kernel developers to ensure correctness and timeliness of processed data.
• Work closely with our QA and DevOps engineers to deploy our solutions to the robot fleet across the world.
What you’ll need
• Solid software engineering skills with an expertise in at least one language and its associated stack. The ideal candidate will check-in thoughtful, working code quickly and consistently.
• Ability to understand and help design a modern perception of hardware and software stack for a complex robotics system.
• Direct experience with developing ML models from scratch and implementing SOTA vision models in real-world applications.
• Plus: Experience implementing portable solutions using containers both in cloud and on edge.
• Plus: Experience with ML cloud computing models and tools (WandB, TFX, TensorBoard, KFP, etc.)
• Leadership: need to own a perception sub-system.
• Be easy to collaborate with, flexible in thinking and have a good sense of humor.
About Symbotic

Symbotic is an automation technology leader reimagining the supply chain with its end-to-end, AI-powered robotic and software platform. Symbotic reinvents the warehouse as a strategic asset for the world’s largest retail, wholesale, and food & beverage companies. Applying next-gen technology, high-density storage and machine learning to solve today’s complex distribution challenges, Symbotic enables companies to move goods with unmatched speed, agility, accuracy and efficiency. As the backbone of commerce the Symbotic platform transforms the flow of goods and the economics of supply chain for its customers. For more information, visit www.symbotic.com .

We are a community of innovators, collaborators and pioneers who embrace our differences, because we know unique perspectives make us stronger and smarter. Every perspective matters. We depend on the collective voices of our employees, customers and community to help guide us as we build a better place to work – for you and the world. That’s why we’re proud to be an equal opportunity employer.

We do not discriminate based on race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or genetic information.
Apply Here
For Remote Senior Machine Learning Vision Engineer roles, visit Remote Senior Machine Learning Vision Engineer Roles

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Machine Learning Engineer at Twitter

Location: Boston

Company Description Twitter is where you go to talk about what’s happening; it carries some of the most important commentary and conversations and mobilizes people into action. Joining the team today means you’ll have an impact on the conversation of tomorrow. We want every Tweep regardless of location or job to understand their role in creating a culture where everyone is empowered to bring their full authentic selves to work, experience belonging, and do the best work of their career. Job Description Working with the DisCo team at Twitter is about showing users the content they care about. Our mission is to instantly connect users to the information most meaningful to them. Realizing this involves work in areas such as machine learning, applied data science, recommendation systems, information retrieval systems, natural language processing, large graph analysis, spam, and more. We build relevance and machine learning models and systems to power the core of the Twitter product and growth. Qualifications Completed a Master’s or Ph.D. in Machine Learning, Engineering Computer Science or a related field Shows proficiency in the following languages Java, Python, C++, Scala, Deep Learning, Machine Learning, Neural Networks, Recommender Systems, Ranking, Information Retrieval, Reinforcement Learning, TensorFlow, PyTorch Ability to take on complex problems, learn quickly, iterate, and persist towards a good solution Additional Information We are committed to an inclusive and diverse Twitter. Twitter is an equal opportunity employer. We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, age, disability, veteran status, genetic information, marital status or any other legally protected status. All your information will be kept confidential according to EEO guidelines.
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machine learning engineer at Randstad US

Location: Boston

machine learning engineer.
• boston , massachusetts
• posted today

job details

summary
• $75 per hour
• contract
• bachelor degree
• category computer and mathematical occupations
• reference952863

job details

job summary:

We are looking for a candidate with the following:
• BS/MS in Engineering, Computer Science or Data Science
• 5-7 years of enterprise development and a desire to work on a fast-paced development team with the experience of handling multiple tracks concurrently.
• strong analytic skills related to working with both structured and unstructured datasets.
• Proven experience performing explorative data analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Proven experience developing object-oriented/object function scripting languages like Python
• Familiar with developing ETL data pipeline tools: Luigi, Airflow, etc.
• Deep understanding of distributed computing principles. Working experience with big data tools: Spark, Hadoop, Kafka, Hive, Impala and Snowflake
• Vast understanding of Pip, Flask, NumPy, Anaconda, or similar tool stack and ability to mentor junior developers on their usage
• Knowledge of Cloud computing concepts (AWS) and working experience with deploying and managing applications in the Cloud.
• You have professional knowledge with statistical models, predictive models and time series analysis (such as regression, classification, simulation, dimension reduction)
• You have hands-on experience in developing and evaluating machine learning models on large scale datasets

location: Boston, Massachusetts

job type: Contract

work hours: 8am to 4pm

education: Bachelors

responsibilities:
• BS/MS in Engineering, Computer Science or Data Science
• 5-7 years of enterprise development and a desire to work on a fast-paced development team with the experience of handling multiple tracks concurrently.
• strong analytic skills related to working with both structured and unstructured datasets.
• Proven experience performing explorative data analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Proven experience developing object-oriented/object function scripting languages like Python
• Familiar with developing ETL data pipeline tools: Luigi, Airflow, etc.
• Deep understanding of distributed computing principles. Working experience with big data tools: Spark, Hadoop, Kafka, Hive, Impala and Snowflake
• Vast understanding of Pip, Flask, NumPy, Anaconda, or similar tool stack and ability to mentor junior developers on their usage
• Knowledge of Cloud computing concepts (AWS) and working experience with deploying and managing applications in the Cloud.
• You have professional knowledge with statistical models, predictive models and time series analysis (such as regression, classification, simulation, dimension reduction)
• You have hands-on experience in developing and evaluating machine learning models on large scale datasets

qualifications:
• Experience level: Experienced
• Minimum 7 years of experience
• Education: Bachelors

skills:
• Machine Design

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

At Randstad, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact ~~~.

Pay offered to a successful candidate will be based on several factors including the candidate’s education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad offers a comprehensive benefits package, including health, an incentive and recognition program, and 401K contribution (all benefits are based on eligibility).

For certain assignments, Covid-19 vaccination and/or testing may be required by Randstad’s client or applicable federal mandate, subject to approved medical or religious accommodations. Carefully review the job posting for details on vaccine/testing requirements or ask your Randstad representative for more information.

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Principal Machine Learning Engineer at Burtch Works

Location: Boston

We have an exciting opportunity to join a growing software company within the healthcare industry as a Principal Machine Learning Engineer. In this role you will analyze healthcare data to design, create, and launch graph-based ML models and enhancements to our client’s database as well as construct dependable and scalable production ML systems.

Requirements:
• At least 5 years of working experience in ML
• A master’s degree or higher in a quantitative science field
• Working experience with knowledge graphs and a clear understanding of model building, model maintenance, and how to optimize models for product use
• Experience with feature engineering, statistical analysis and developing ML techniques.
• Must be able to optimize algorithms, running in real-time, for speed and precision.
• Expert in Python and Neptune or other common analytical data tools and graph databases
• Extra consideration will be given to those with experience in AWS tools (SageMaker Studio and Neptune specifically), ElasticSearch, Gremllin, NLP SPARQL, TensorFlow, and/or TinkerPop. Extra consideration will also be given to those with experience working with healthcare data such as claims and EMR data.

This is a remote role however you will be required to travel to Boston once a quarter. The salary range for this role is 180-200K + bonus and equity.

Keywords: Machine Learning Engineer, ML, Python, Neptune, healthcare, health, knowledge graphs, graph analytics, hiring, remote, Boston Area
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Staff Machine Learning Engineer at Mozilla

Location: Boston

The Company

Pocket empowers people to discover, organize, consume, and share content that matters to them. Our apps and platform are essential ways that tens of millions of people discover and consume content on the web. Pocket is the Web, curated: for you and by you.

The Opportunity

Build the systems connecting millions of people to the content worthy of their time and attention. We are looking for a Staff Machine Learning engineer to partner with the editorial and product teams to develop the recommendation systems that power Pocket’s discovery surfaces and the Firefox new tab. Machine learning engineers are responsible for designing and evolving both algorithmic and human-in-the-loop recommendation systems. Pocket is committed to recommending high-quality content at scale while respecting our readers’ data and privacy.

We seek applied machine learning experts who can both design algorithms and architectures to satisfy product requirements and also help deploy their solutions in production. Pocket recommendations combine content and engagement signals with the human expertise of our editorial team. Our recommendation systems reflect editorial principles, Mozilla’s values, and the pocket mission. We optimize our systems to enable users to discover content that they can consume on their terms and at their pace.

People who excel on our team thrive in small, dynamic environments. We contribute in many areas beyond machine learning, including product engineering, machine learning operations, and data modeling, among others.

What You’ll Do
• Work closely with Pocket editorial, product management, and experience design teams to deliver high-quality features and solutions
• Be involved in end-to-end development, exploring new applications and techniques within natural language processing, applied machine learning, and explainable and privacy-aware ML
• Enhance our machine learning infrastructure.
• Write robust production-level code and engage in code reviews.

What You Bring
• Technical education in Computer Science, Information Science, Engineering, or equivalent experience (Master’s degree or higher preferred)
• 3+ years of relevant experience in Machine Learning Engineering:
• shipping high-quality machine learning solutions to production
• design and analysis of experiments (A/B tests) to validate iterative system development
• conceptual familiarity with feature stores, monitoring and observability, data distribution shifts
• Flexible and comfortable working within a distributed organization and with minimal process. This role allows for a high degree of ownership and requires rapid iteration.
• Motivation to learn continuously and help define research and development practices in an applied setting
• Excellent verbal and written communication skills and willingness to convey algorithmic or engineering considerations to non-experts.
• Experienced in building recommendation systems on cloud platforms like AWS Sagemaker or Google Cloud ML.

Bonus Experience
• AWS SageMaker, Google Cloud ML
• ML: Scikit-Learn, PyTorch, Hugging Face, Metaflow
• Storage: Snowflake, AWS Feature Groups, AWS S3, AWS DynamoDB
• Orchestrators: Airflow, Prefect
• Data modeling: DBT

Commitment to diversity, equity, inclusion, and belonging

Mozilla understands that valuing diverse creative practices and forms of knowledge are crucial to and enrich the company’s core mission. We encourage applications from everyone, including members of all equity-seeking communities, such as (but certainly not limited to) women, racialized and Indigenous persons, persons with disabilities, persons of all sexual orientations, gender identities and expressions.

We will ensure that qualified individuals with disabilities are provided reasonable accommodations to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment, as appropriate. Please contact us at to request an accommodation.

We are an equal opportunity employer. We do not discriminate on the basis of race (including hairstyle and texture), religion (including religious grooming and dress practices), gender, gender identity, gender expression, color, national origin, pregnancy, ancestry, domestic partner status, disability, sexual orientation, age, genetic predisposition, medical condition, marital status, citizenship status, military or veteran status, or any other basis covered by applicable laws. Mozilla will not tolerate discrimination or harassment based on any of these characteristics or any other unlawful behavior, conduct, or purpose.

Group: C

R1865
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Senior Machine Learning Vision Engineer at Symbotic

Location: ROXBURY CROSSING

Who We Are

Our work matters – robotics is transforming the world of commerce. Every day our intelligent robots are responsible for getting food and merchandise to thousands of stores across North America. We’re an industry changer – we created the first and only fully autonomous, end-to-end supply chain solution. Today, we are driving towards even bigger ideas – and we have the people, technology and leadership to fully realize these aspirations. We have theexcitement and ambition of a startup with the benefits and resources of a proven organization.

The ML Vision Team at Symbotic is expanding, and we’re looking to hire a software engineer to help us build Machine Learning solutions. The candidate will assist in the development of deep learning vision models that will help our fleet of autonomous robots to accomplish their missions safely, accurately, and with super-human efficiency. The engineer is expected to help in all tasks that would develop ML solutions and deploy them to run on our fleet.

In this role you will
• Implement and maintain state-of-the-art on-bot vision solutions using python, C+, Docker, Kubernetes and other modern tools.
• Build on-bot and in-cloud infrastructure to develop and deploy state-of-the-art binocular and 3D vision solutions.
• Design and build dashboards and metrics to help develop and monitor vision solutions.
• Intimately understand the sensor package and work closely with electrical engineers and Linux Kernel developers to ensure correctness and timeliness of processed data.
• Work closely with our QA and DevOps engineers to deploy our solutions to the robot fleet across the world.
What you’ll need
• Solid software engineering skills with an expertise in at least one language and its associated stack. The ideal candidate will check-in thoughtful, working code quickly and consistently.
• Ability to understand and help design a modern perception of hardware and software stack for a complex robotics system.
• Direct experience with developing ML models from scratch and implementing SOTA vision models in real-world applications.
• Plus: Experience implementing portable solutions using containers both in cloud and on edge.
• Plus: Experience with ML cloud computing models and tools (WandB, TFX, TensorBoard, KFP, etc.)
• Leadership: need to own a perception sub-system.
• Be easy to collaborate with, flexible in thinking and have a good sense of humor.
About Symbotic

Symbotic is an automation technology leader reimagining the supply chain with its end-to-end, AI-powered robotic and software platform. Symbotic reinvents the warehouse as a strategic asset for the world’s largest retail, wholesale, and food & beverage companies. Applying next-gen technology, high-density storage and machine learning to solve today’s complex distribution challenges, Symbotic enables companies to move goods with unmatched speed, agility, accuracy and efficiency. As the backbone of commerce the Symbotic platform transforms the flow of goods and the economics of supply chain for its customers. For more information, visit www.symbotic.com .

We are a community of innovators, collaborators and pioneers who embrace our differences, because we know unique perspectives make us stronger and smarter. Every perspective matters. We depend on the collective voices of our employees, customers and community to help guide us as we build a better place to work – for you and the world. That’s why we’re proud to be an equal opportunity employer.

We do not discriminate based on race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or genetic information.
Apply Here
For Remote Senior Machine Learning Vision Engineer roles, visit Remote Senior Machine Learning Vision Engineer Roles

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