Machine Learning Manager Green Card Jobs
Machine Learning Manager roles qualify for EB-2 sponsorship when the position requires an advanced degree in computer science, data science, or a related field. Employers sponsor permanent residency through the PERM labor certification process, which benchmarks your offered salary against DOL prevailing wages for the SOC code covering ML leadership roles.
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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 523+ Machine Learning Manager jobs
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Get Access To All JobsTips for Finding Green Card Sponsorship as a Machine Learning Manager
Match your credentials to EB-2 requirements
PERM filings for Machine Learning Manager roles are typically classified under EB-2, requiring a master's degree or equivalent. If your highest degree is a bachelor's, document five years of progressive ML leadership experience to satisfy the advanced-degree equivalent standard USCIS recognizes.
Verify prevailing wage before accepting offers
Use the OFLC Wage Search to look up the prevailing wage for your specific SOC code and work location before negotiating compensation. Your offered salary must meet or exceed the DOL-certified wage level, or PERM will be denied regardless of your qualifications.
Target employers with active PERM filing history
Search for Machine Learning Manager roles at employers who have filed PERM applications for similar ML or AI leadership titles before. Prior PERM activity signals that the employer's HR and legal teams already understand the process, reducing delays caused by internal inexperience with green card sponsorship.
Use Migrate Mate to find sponsoring employers
Filter job searches specifically by green card sponsorship history so you don't waste time on roles where PERM is not on the table. Migrate Mate surfaces Machine Learning Manager positions at employers with documented EB-2 and EB-3 sponsorship activity, letting you apply where permanent residency is a realistic outcome.
Clarify sponsorship timing during the offer stage
Ask directly whether the employer will initiate PERM immediately after hire or wait for a performance review period. Many ML-focused companies delay green card filing by 12 to 18 months, which matters if you're currently on OPT or H-1B and need to track your authorized stay against PERM milestones.
Align your O*NET occupation profile with the job description
PERM requires the job duties to map cleanly to the DOL occupation classification. Review the O*NET profile for Machine Learning Manager or the closest matching SOC code and confirm that your employer's job description reflects the specialized duties listed, reducing the risk of an audit or denial on occupational classification grounds.
Machine Learning Manager jobs are hiring across the US. Find yours.
Find Machine Learning Manager JobsMachine Learning Manager Green Card Sponsorship: Frequently Asked Questions
Does a Machine Learning Manager role qualify for EB-2 or EB-3 green card sponsorship?
Most Machine Learning Manager positions qualify under EB-2 because they require a master's degree or equivalent in computer science, data science, or a related field. If the employer's minimum requirement is a bachelor's degree with at least five years of specialized ML experience, the role can also be filed under EB-3 as a skilled worker. The classification depends on how the employer documents the minimum requirements in the PERM application.
How does PERM green card sponsorship differ from H-1B sponsorship for this role?
H-1B is a temporary work visa renewed in two or three-year increments, subject to an annual lottery cap. PERM is the first step toward permanent residency and has no annual cap at the EB-2 or EB-3 petition level. The tradeoff is timeline: H-1B status can begin within months, while PERM plus I-140 approval typically takes one to three years before you can file for adjustment of status, and priority date backlogs add further wait time for some nationalities.
What does the PERM labor certification process look like for a Machine Learning Manager?
Your employer files an ETA Form 9089 with DOL after completing a mandatory recruitment period to demonstrate no qualified U.S. workers are available for the role. For a Machine Learning Manager position, DOL scrutinizes whether the stated degree and experience requirements are genuinely necessary and not inflated. Once PERM is certified, your employer files an I-140 immigrant petition with USCIS, and you can apply for adjustment of status once your priority date becomes current.
How can I find Machine Learning Manager jobs where employers will sponsor a green card?
Migrate Mate lets you search specifically for Machine Learning Manager roles at employers with documented green card sponsorship history, filtering out positions where PERM sponsorship is unlikely. Searching this way saves time and surfaces companies whose HR and legal teams have already navigated the PERM process for similar ML leadership roles, which is a meaningful signal of a smoother sponsorship experience.
Can my employer start the PERM process while I am on H-1B status?
Yes. Employers routinely begin PERM while you are in active H-1B status, and the two processes run in parallel. Filing PERM early is strategically important because the priority date on your approved I-140 determines your place in the green card queue. If your PERM is certified and I-140 approved before your sixth year of H-1B, AC21 allows annual H-1B extensions beyond the standard six-year cap until your green card is adjudicated.
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