OPT Machine Learning Manager Jobs
Machine Learning Manager jobs on OPT require employers who can sponsor H-1B visa or support STEM OPT extensions, since the role typically falls under Computer and Information Research as a specialty occupation. Most positions demand 5-plus years of ML experience, making early OPT the right time to target senior IC roles that lead to management tracks.
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Get Access To All JobsSalary Range: $125,000 - $145,000 per year
Note: This is an ongoing role that we hire for regularly, so some postings may appear to have been open for a while. If you see this job posted, we are actively hiring and encourage you to apply.
This is a Boston based opportunity with a 3 day in office expectation (Tuesday - Thursday) with 2 days remote (Monday and Friday).
Wayfair is continuing to expand our commitment to hiring and supporting talent early in their careers, focusing on filling opportunities with recent graduates who have 0-3 years of work experience. We are continually recruiting candidates for this position on a rolling basis as we have a high volume of openings that become available.
Who We Are:
Wayfair is on a mission to find the most talented engineers entering the tech world! Do you love innovating and creating new tools from scratch? We’re looking for engineers who love Wayfair is looking for candidates who are passionate about programming, and have strong core fundamentals. If you feel confident in your knowledge of object oriented design, data structures, & algorithms and your ability to grow your skills over time, please apply! We want to connect with developers who are eager to work in a highly collaborative team and add to Wayfair’s culture. You will have the opportunity to work on one of the following teams: sharing ideas, collaborating to improve them, and being a part of the full software development process. Our engineers are enthusiastic problem solvers and our teams are highly collaborative.
What You’ll Do:
- Own the full Data Science/Machine Learning lifecycle from conception to prototyping, testing, deploying, and measuring its overall business value
- Develop and scale state-of-the-art machine learning methods and quantitative models to address core business problems
- Integrate your algorithmic solutions into our technical platforms to run at scale and directly change the experiences of customers on our site
- Drive measurable business value collaborating with business teams to change the course of Wayfair
- Pilot projects using new open source tools and packages to enable novel machine learning techniques across the company
- Uncover deep insights hidden in our vast repository of raw data and provide tactical guidance on how to act on findings
- Use data to improve the decision-making of our employees, and ultimately, to enhance the experience of our customers and our suppliers
- Work with a team of friendly and motivated scientists working together to build novel solutions to business problems
- Collaborate with ML Scientists and software engineers to create maintainable, scalable and debuggable code by bringing strong software development practices
- Drive any potential scientific publications based on the results in major Data Science and Machine Learning conferences or workshops
What You’ll Need:
Basic Qualifications
- 1-3 years of transferable experience in a corporate environment, including internship and co-op experience
- Masters degree in a quantitative field (Mathematics, Science, Engineering, Computer Science, Statistics/Biostatistics, Economics, Physics, Robotics, Operations Research, etc.)
- Proficient knowledge of structured programming language(s) (e.g. Python)
- Experience with languages and tools relevant to data science, including Pytorch/TF, Github, Pyspark, Docker, SQL, GCP
- Excellent communication skills, with the ability to clearly articulate complex AI concepts to non-technical stakeholders while collaborating across teams
- Demonstrated ability to quickly learn new tools and techniques in a fast-paced, evolving environment, while managing multiple priorities with a high level of attention to detail and staying current with the latest ML research
Preferred Qualifications:
- Familiarity with regression and machine learning techniques, such as supervised/unsupervised learning, recommendation systems, reinforcement learning, deep learning, etc.
- An affinity for data along with experience leveraging statistics and regression analysis
- Intuitive sense of how quantitative and technical work aligns closely with business priorities and business value
- Familiarity with data structures, algorithms, OOP, and programming in a team environment
- Quick learner with an analytical approach to solving problems as part of a team who has strong communication skills
- Ability to thrive in a dynamic environment where there can be degrees of ambiguity
- Ability to effectively work with technical leads: ability to synthesize conclusions for non-experts and desire to influence technical decision
- Hands-on experience with large language models (e.g., GPT, BERT, Transformers) and Retrieval-Augmented Generation (RAG) techniques, and fine-tuning LLM models to address specific business challenges
- Solid understanding of natural language processing methods and traditional machine learning techniques to effectively tackle diverse problems
- Professional coding expertise in languages like Python and R, proficiency in SQL, and experience with data visualization tools; skilled in using ML frameworks (TensorFlow, PyTorch) and implementing CI/CD, containerization, and version control best practices
- Proven track record of delivering successful machine learning projects from conception to production, demonstrating strong deployment, problem-solving, and maintenance skills
- Deep understanding of data engineering concepts with experience in building scalable data pipelines for collecting, processing, and transforming data
Why You’ll Love Wayfair:
Benefits & Perks
- Full health benefits available (Medical, Dental, Vision, HSA/FSA) on day one for eligible employees
- 24/7 access to mental, financial, physical and emotional wellbeing support, plus an enhanced offering of therapy and coaching
- Automatic enrollment into Basic Life and Accidental Death & Disability Insurance
- 401(k) matching with immediate vesting
- Paid Parental Leave, Surrogacy & Adoption Reimbursement and Caregiver Services
- Tuition Reimbursement
- Wayfair Employee Discount
- Gym/Fitness Discounts
- Exclusive access to thousands of perks & discounts through BenefitHub
- Yearly match up to $500 for personal donations made by employees to registered 501(c)(3) nonprofits
Purpose & Inclusion at Wayfair:
At Wayfair, we pride ourselves on fostering an environment where every individual experiences a fair and equitable employee journey. We are committed to developing targeted resources that raise awareness around inclusion and eliminate barriers, ensuring Wayfair provides a fair and inclusive workplace experience for everyone.
Social Impact & Responsibility:
At Wayfair, we focus on helping people on their journey to home - specifically those who have lost their way from home. We do this by leveraging our best assets, such as collaborating with leading nonprofit organizations, coordinating in-kind product donations, empowering our employees to get involved through paid volunteer time off programs, and encouraging our customers to donate. This multi-faceted approach allows us to support communities in need in authentic ways that align with Wayfair's broader mission of helping everyone, anywhere create their sense of home.
Salary Range: $125,000 - $145,000 per year
Note: This is an ongoing role that we hire for regularly, so some postings may appear to have been open for a while. If you see this job posted, we are actively hiring and encourage you to apply.
This is a Boston based opportunity with a 3 day in office expectation (Tuesday - Thursday) with 2 days remote (Monday and Friday).
Wayfair is continuing to expand our commitment to hiring and supporting talent early in their careers, focusing on filling opportunities with recent graduates who have 0-3 years of work experience. We are continually recruiting candidates for this position on a rolling basis as we have a high volume of openings that become available.
Who We Are:
Wayfair is on a mission to find the most talented engineers entering the tech world! Do you love innovating and creating new tools from scratch? We’re looking for engineers who love Wayfair is looking for candidates who are passionate about programming, and have strong core fundamentals. If you feel confident in your knowledge of object oriented design, data structures, & algorithms and your ability to grow your skills over time, please apply! We want to connect with developers who are eager to work in a highly collaborative team and add to Wayfair’s culture. You will have the opportunity to work on one of the following teams: sharing ideas, collaborating to improve them, and being a part of the full software development process. Our engineers are enthusiastic problem solvers and our teams are highly collaborative.
What You’ll Do:
- Own the full Data Science/Machine Learning lifecycle from conception to prototyping, testing, deploying, and measuring its overall business value
- Develop and scale state-of-the-art machine learning methods and quantitative models to address core business problems
- Integrate your algorithmic solutions into our technical platforms to run at scale and directly change the experiences of customers on our site
- Drive measurable business value collaborating with business teams to change the course of Wayfair
- Pilot projects using new open source tools and packages to enable novel machine learning techniques across the company
- Uncover deep insights hidden in our vast repository of raw data and provide tactical guidance on how to act on findings
- Use data to improve the decision-making of our employees, and ultimately, to enhance the experience of our customers and our suppliers
- Work with a team of friendly and motivated scientists working together to build novel solutions to business problems
- Collaborate with ML Scientists and software engineers to create maintainable, scalable and debuggable code by bringing strong software development practices
- Drive any potential scientific publications based on the results in major Data Science and Machine Learning conferences or workshops
What You’ll Need:
Basic Qualifications
- 1-3 years of transferable experience in a corporate environment, including internship and co-op experience
- Masters degree in a quantitative field (Mathematics, Science, Engineering, Computer Science, Statistics/Biostatistics, Economics, Physics, Robotics, Operations Research, etc.)
- Proficient knowledge of structured programming language(s) (e.g. Python)
- Experience with languages and tools relevant to data science, including Pytorch/TF, Github, Pyspark, Docker, SQL, GCP
- Excellent communication skills, with the ability to clearly articulate complex AI concepts to non-technical stakeholders while collaborating across teams
- Demonstrated ability to quickly learn new tools and techniques in a fast-paced, evolving environment, while managing multiple priorities with a high level of attention to detail and staying current with the latest ML research
Preferred Qualifications:
- Familiarity with regression and machine learning techniques, such as supervised/unsupervised learning, recommendation systems, reinforcement learning, deep learning, etc.
- An affinity for data along with experience leveraging statistics and regression analysis
- Intuitive sense of how quantitative and technical work aligns closely with business priorities and business value
- Familiarity with data structures, algorithms, OOP, and programming in a team environment
- Quick learner with an analytical approach to solving problems as part of a team who has strong communication skills
- Ability to thrive in a dynamic environment where there can be degrees of ambiguity
- Ability to effectively work with technical leads: ability to synthesize conclusions for non-experts and desire to influence technical decision
- Hands-on experience with large language models (e.g., GPT, BERT, Transformers) and Retrieval-Augmented Generation (RAG) techniques, and fine-tuning LLM models to address specific business challenges
- Solid understanding of natural language processing methods and traditional machine learning techniques to effectively tackle diverse problems
- Professional coding expertise in languages like Python and R, proficiency in SQL, and experience with data visualization tools; skilled in using ML frameworks (TensorFlow, PyTorch) and implementing CI/CD, containerization, and version control best practices
- Proven track record of delivering successful machine learning projects from conception to production, demonstrating strong deployment, problem-solving, and maintenance skills
- Deep understanding of data engineering concepts with experience in building scalable data pipelines for collecting, processing, and transforming data
Why You’ll Love Wayfair:
Benefits & Perks
- Full health benefits available (Medical, Dental, Vision, HSA/FSA) on day one for eligible employees
- 24/7 access to mental, financial, physical and emotional wellbeing support, plus an enhanced offering of therapy and coaching
- Automatic enrollment into Basic Life and Accidental Death & Disability Insurance
- 401(k) matching with immediate vesting
- Paid Parental Leave, Surrogacy & Adoption Reimbursement and Caregiver Services
- Tuition Reimbursement
- Wayfair Employee Discount
- Gym/Fitness Discounts
- Exclusive access to thousands of perks & discounts through BenefitHub
- Yearly match up to $500 for personal donations made by employees to registered 501(c)(3) nonprofits
Purpose & Inclusion at Wayfair:
At Wayfair, we pride ourselves on fostering an environment where every individual experiences a fair and equitable employee journey. We are committed to developing targeted resources that raise awareness around inclusion and eliminate barriers, ensuring Wayfair provides a fair and inclusive workplace experience for everyone.
Social Impact & Responsibility:
At Wayfair, we focus on helping people on their journey to home - specifically those who have lost their way from home. We do this by leveraging our best assets, such as collaborating with leading nonprofit organizations, coordinating in-kind product donations, empowering our employees to get involved through paid volunteer time off programs, and encouraging our customers to donate. This multi-faceted approach allows us to support communities in need in authentic ways that align with Wayfair's broader mission of helping everyone, anywhere create their sense of home.
See all 758+ OPT Machine Learning Manager Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new OPT Machine Learning Manager Jobs.
Get Access To All JobsTips for Finding OPT Sponsorship as a Machine Learning Manager
Confirm the role qualifies as a specialty occupation
Machine Learning Manager positions almost always require a bachelor's degree or higher in computer science, statistics, or a related field. Verify the job posting explicitly states a degree requirement, not just a preference, to ensure your OPT authorization aligns cleanly.
Target employers with an established H-1B track record
Companies that have sponsored ML engineers and data scientists before are far more likely to sponsor a Machine Learning Manager. Search employer H-1B visa disclosure data through the Department of Labor to confirm a pattern of sponsorship before investing time in applications.
Clarify your OPT timeline upfront with recruiters
Machine Learning Manager hiring cycles run long, often 8 to 12 weeks. If your OPT expiration is within six months, raise your timeline early so employers can assess whether they can complete H-1B sponsorship before your authorization lapses.
Lead with your STEM OPT extension eligibility
A STEM OPT extension gives you up to three additional years of work authorization, which meaningfully reduces urgency for employers. If your degree is in computer science, data science, or a related STEM field, mention this extension explicitly in your cover letter and recruiter conversations.
Demonstrate cross-functional leadership to differentiate yourself
Machine Learning Manager roles require leading engineers, aligning with product teams, and owning model deployment decisions. Candidates who can show tangible team leadership experience, not just technical depth, stand out and reduce employer hesitation around sponsorship investment.
Focus on companies scaling ML infrastructure, not just experimenting
Organizations at the proof-of-concept stage rarely commit to sponsorship for senior hires. Target employers actively productionizing ML systems, with dedicated ML platform teams, as they have stronger business reasons to sponsor and retain a capable manager long term.
Machine Learning Manager OPT: Frequently Asked Questions
Can I work as a Machine Learning Manager on OPT?
Yes, provided your role qualifies as a specialty occupation requiring a degree in a directly related field like computer science, electrical engineering, or applied mathematics. Machine Learning Manager positions consistently meet this standard. Your OPT authorization must remain valid, and the job must be directly related to your degree field.
Do Machine Learning Manager jobs commonly offer H-1B sponsorship?
Many do, particularly at mid-size and large technology companies that depend on ML infrastructure for their core products. Firms in sectors like cloud computing, fintech, and health tech regularly sponsor ML leadership roles. Migrate Mate filters sponsorship-friendly employers so you can focus your search on companies with a documented history of supporting international candidates.
Does my degree field affect OPT eligibility for this role?
Yes. Your OPT work must be directly related to your degree. A Machine Learning Manager role is most straightforwardly supported by degrees in computer science, data science, statistics, or electrical engineering. If your degree is adjacent, such as applied mathematics or operations research, you can still qualify, but you may need to clearly articulate the connection on your OPT reporting documentation.
How does STEM OPT extension work for Machine Learning Manager roles?
If your bachelor's, master's, or doctoral degree is in a STEM-designated field, you can apply for a 24-month STEM OPT extension after your initial 12-month OPT period. The employer must be E-Verify enrolled and agree to a formal training plan. For Machine Learning Manager roles, most qualifying employers are already E-Verify participants, making the extension straightforward to execute.
What should I do if my OPT expires before an employer completes H-1B sponsorship?
The timing risk is real for management-level roles, where hiring decisions move slowly. If an approved H-1B petition is in place before your OPT expires, you can maintain status through the cap-gap provision while waiting for October 1 employment to begin. Working closely with an immigration attorney and starting conversations with employers at least six months before expiration significantly reduces the risk of a gap.