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 JobsINTRODUCTION
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 121 million daily active unique visitors, Reddit is one of the internet’s largest sources of information.
The Notifications Relevance Team focuses on delivering the right content to the right user at the right time through push, email, and in-app notifications. Our systems and algorithms operate on the world's largest corpus of human conversation, connecting Redditors with what matters - whether it’s recommending similar posts and subreddits, surfacing conversations they’ll care about, or introducing communities they didn’t know they needed.
We are looking for an Engineering Manager to lead our Notifications Relevance team, shaping the future of Notifications at Reddit. In this role, you will lead a team of machine learning engineers dedicated to advancing our current Notifications Relevance systems. This is a high-impact team driving DAU growth and long-term user retention by connecting users to what matters most to them.
If applying ML / AI in production to improve the relevance of Reddit Notifications excites you, then you’ve found the right place.
ROLE AND RESPONSIBILITIES
What You’ll Do:
- Lead the team that architects and designs notifications relevance at Reddit.
- Guide team on holistic, adaptive systems covering budgeting optimization, candidate retrieval, and ranking.
- Work with ML engineers to design, implement, and optimize machine-learning models that drive personalization and user re-engagement.
- Participate in the full development cycle: design, develop, QA, experiment, analyze, and deploy.
- Build and maintain a diverse team that can collaborate across disciplines to find technical solutions to complex challenges.
- Serve as a thought partner to product and upper management to ensure your team’s plans align with company goals.
- Communicate your team’s work and set expectations with cross-functional stakeholders.
- Help your engineers identify career goals and create development plans to achieve them.
- Constantly seek opportunities to push your engineers & managers outside their comfort zone and turn followers into leaders.
BASIC QUALIFICATIONS
You Have:
- 2+ years of experience building and managing engineering teams.
- 5+ years of experience as a Machine Learning Engineer or Software Engineer working on large-scale machine learning systems.
- Deep understanding of building and deploying large-scale recommender systems (retrieval + ranking) in production.
- Hands-on experience working with deep learning models, sequential features and real-time systems.
- Experience with distributed training and inference using tools like Ray, PyTorch Distributed, or similar.
- Familiarity with reinforcement learning or multi-objective optimization in recommendation systems.
- Entrepreneurial and self-directed, innovative, results-oriented, biased towards action in fast-paced environments.
- Able to communicate and discuss complex topics with technical and non-technical audiences.
- Able to tackle ambiguous and undefined problems.
PREFERRED QUALIFICATIONS
Benefits:
- Comprehensive Healthcare Benefits and Income Replacement Programs
- 401k with Employer Match
- Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
- Family Planning Support
- Gender-Affirming Care
- Mental Health & Coaching Benefits
- Flexible Vacation & Paid Volunteer Time Off
- Generous Paid Parental Leave
COMPENSATION
The base salary range for this position is:
$230,000—$322,000 USD
This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave.
To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.
In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.
During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors.
Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.
INTRODUCTION
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 121 million daily active unique visitors, Reddit is one of the internet’s largest sources of information.
The Notifications Relevance Team focuses on delivering the right content to the right user at the right time through push, email, and in-app notifications. Our systems and algorithms operate on the world's largest corpus of human conversation, connecting Redditors with what matters - whether it’s recommending similar posts and subreddits, surfacing conversations they’ll care about, or introducing communities they didn’t know they needed.
We are looking for an Engineering Manager to lead our Notifications Relevance team, shaping the future of Notifications at Reddit. In this role, you will lead a team of machine learning engineers dedicated to advancing our current Notifications Relevance systems. This is a high-impact team driving DAU growth and long-term user retention by connecting users to what matters most to them.
If applying ML / AI in production to improve the relevance of Reddit Notifications excites you, then you’ve found the right place.
ROLE AND RESPONSIBILITIES
What You’ll Do:
- Lead the team that architects and designs notifications relevance at Reddit.
- Guide team on holistic, adaptive systems covering budgeting optimization, candidate retrieval, and ranking.
- Work with ML engineers to design, implement, and optimize machine-learning models that drive personalization and user re-engagement.
- Participate in the full development cycle: design, develop, QA, experiment, analyze, and deploy.
- Build and maintain a diverse team that can collaborate across disciplines to find technical solutions to complex challenges.
- Serve as a thought partner to product and upper management to ensure your team’s plans align with company goals.
- Communicate your team’s work and set expectations with cross-functional stakeholders.
- Help your engineers identify career goals and create development plans to achieve them.
- Constantly seek opportunities to push your engineers & managers outside their comfort zone and turn followers into leaders.
BASIC QUALIFICATIONS
You Have:
- 2+ years of experience building and managing engineering teams.
- 5+ years of experience as a Machine Learning Engineer or Software Engineer working on large-scale machine learning systems.
- Deep understanding of building and deploying large-scale recommender systems (retrieval + ranking) in production.
- Hands-on experience working with deep learning models, sequential features and real-time systems.
- Experience with distributed training and inference using tools like Ray, PyTorch Distributed, or similar.
- Familiarity with reinforcement learning or multi-objective optimization in recommendation systems.
- Entrepreneurial and self-directed, innovative, results-oriented, biased towards action in fast-paced environments.
- Able to communicate and discuss complex topics with technical and non-technical audiences.
- Able to tackle ambiguous and undefined problems.
PREFERRED QUALIFICATIONS
Benefits:
- Comprehensive Healthcare Benefits and Income Replacement Programs
- 401k with Employer Match
- Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
- Family Planning Support
- Gender-Affirming Care
- Mental Health & Coaching Benefits
- Flexible Vacation & Paid Volunteer Time Off
- Generous Paid Parental Leave
COMPENSATION
The base salary range for this position is:
$230,000—$322,000 USD
This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave.
To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.
In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.
During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors.
Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.
See all 37+ 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.