H-1B Visa Machine Learning Manager Jobs
Machine Learning Manager roles qualify as H-1B specialty occupations under the computer and information systems manager classification. Employers filing for this title must certify a prevailing wage through DOL before USCIS adjudicates the petition. Most sponsoring companies are large tech, finance, and healthcare firms with established immigration programs.
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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 607+ Machine Learning Manager jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Machine Learning Manager roles.
Get Access To All JobsTips for Finding H-1B Visa Sponsorship as a Machine Learning Manager
Map your credentials to SOC codes
Machine Learning Manager maps to SOC 11-3021 in DOL's classification system. Pull the O*NET profile for that code before interviews so you can speak precisely to how your experience matches the specialty occupation definition USCIS applies.
Target employers with LCA filing history
Search Migrate Mate to filter Machine Learning Manager roles by employers who have already filed Labor Condition Applications for this title. Prior LCA filings signal an active sponsorship program, not a first-time attempt that stalls in legal review.
Ask about cap-exempt status early
Universities, nonprofits affiliated with higher education, and certain research organizations are cap-exempt, meaning your H-1B petition bypasses the annual lottery. If you're open to these employers, confirm their cap-exempt status before accepting an offer.
Negotiate premium processing into your offer
USCIS premium processing cuts adjudication to 15 business days. For a Machine Learning Manager role with a defined project start date, ask the hiring team to commit to premium processing in writing before you sign, since the employer controls that decision.
Verify the prevailing wage tier before you negotiate
Run the OFLC Wage Search for SOC 11-3021 in your target metro before salary discussions. DOL assigns four wage levels, and the LCA must certify the offered wage meets at least Level I. Knowing the tiers prevents you from accepting an offer the employer can't legally certify.
Document your managerial scope for RFE defense
USCIS sometimes issues Requests for Evidence on manager titles, questioning whether the role is supervisory or hands-on technical. Collect org charts, headcount data, and budget authority documentation before your employer files, so the response is ready if adjudication stalls.
Machine Learning Manager jobs are hiring across the US. Find yours.
Find Machine Learning Manager JobsMachine Learning Manager H-1B Visa: Frequently Asked Questions
Does a Machine Learning Manager role qualify as an H-1B specialty occupation?
Yes. Machine Learning Manager qualifies because the position typically requires a bachelor's degree or higher in computer science, engineering, mathematics, or a closely related field. USCIS evaluates the specific job duties, not just the title, so your employer's job description must demonstrate that a specialized degree is the normal minimum for the position.
Which employers sponsor H-1B visas for Machine Learning Manager positions?
Large technology companies, financial institutions with quantitative research divisions, and healthcare organizations running predictive analytics programs are the most consistent H-1B sponsors for this title. Migrate Mate lets you browse Machine Learning Manager roles filtered by employers with verified LCA filing history, so you're not applying blind to companies that have never sponsored this job category.
How does the H-1B lottery affect my timeline for starting a Machine Learning Manager role?
The annual H-1B cap lottery opens in March for an October 1 start date. If you're not selected, you can't begin work in cap-subject H-1B status until the following fiscal year at earliest. Cap-exempt employers, such as universities or affiliated nonprofits, skip the lottery entirely and can file at any point in the year.
Can I transfer my H-1B to a new employer if I change Machine Learning Manager roles?
Yes. Under H-1B portability rules, you can begin working for a new employer as soon as that employer files a transfer petition, without waiting for USCIS approval. The new employer must file a new LCA certifying the prevailing wage for the Machine Learning Manager title at the new work location before submitting the transfer petition.
What documentation does my employer need to sponsor my H-1B as a Machine Learning Manager?
Your employer needs a certified LCA from DOL, your academic transcripts and any credential evaluations, a detailed job description tied to the SOC 11-3021 classification, and evidence of your qualifications. If your degree is from outside the U.S., a credential evaluation establishing equivalency to a U.S. bachelor's degree is required before USCIS will accept the petition.
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