E-3 Visa Machine Learning Manager Jobs
Machine Learning Manager roles qualify for E-3 visa sponsorship as specialty occupations requiring a bachelor's degree or higher in computer science, data science, or a related field. The E-3 has no lottery and no annual cap, making it a practical path for Australian professionals targeting U.S. ML leadership positions.
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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 336+ 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 E-3 Visa Sponsorship as a Machine Learning Manager
Frame your degree for specialty occupation
A three-year Australian bachelor's degree is generally accepted as equivalent to a U.S. four-year degree for E-3 purposes. Get a credential evaluation from a NACES-member evaluator before your first interview so the document is ready when employers ask.
Target employers with active LCA filing history
Search the DOL's OFLC disclosure data for certified LCAs in computer and information technology occupations. Employers who have filed LCAs before understand the process and are far less likely to withdraw an offer once they see the paperwork involved.
Clarify the manager title in your LCA job duties
LCA job duty descriptions for manager-level ML roles must reflect the specialty occupation requirement. Vague descriptions like 'oversee team' raise DOL scrutiny. Work with your employer to specify model development oversight, research direction, and degree-level technical requirements.
Use Migrate Mate's E-3 filing service for your LCA
The LCA must be certified by DOL before your consulate appointment. Use Migrate Mate's E-3 filing service to handle your LCA and visa paperwork end-to-end, so nothing delays your start date after an offer is signed.
Address dual intent directly at the consulate
Consular officers assess nonimmigrant intent for E-3 applicants. If you're on a manager track that could lead to a green card, prepare a clear explanation of your current nonimmigrant intent. The E-3 doesn't prohibit immigrant intent by statute, but a clear narrative reduces the risk of a 221(g) administrative hold.
Time your job search around LCA processing
DOL targets LCA certification within seven business days, but delays happen. Build at least three weeks between signing your offer and your planned consulate appointment. Negotiating a start date without accounting for LCA processing is one of the most common causes of delayed E-3 approvals.
Machine Learning Manager jobs are hiring across the US. Find yours.
Find Machine Learning Manager JobsMachine Learning Manager E-3 Visa: Frequently Asked Questions
How do I find Machine Learning Manager jobs with E-3 visa sponsorship?
Migrate Mate is built specifically for Australian professionals searching for E-3 sponsorship roles in the U.S. Filter by job title and visa type to surface Machine Learning Manager positions at employers who already understand the E-3 process. This saves significant time compared to manually screening employers who have no E-3 filing history.
How much does it cost to get an E-3 visa?
Migrate Mate's E-3 filing service covers the entire process for $499, including the Labor Condition Application, visa document preparation, and consulate appointment guidance. Traditional immigration lawyers charge $2,000–$5,000+ for the same work. The E-3 has less paperwork than most work visas, so paying thousands for legal help is usually unnecessary.
Does a Machine Learning Manager role qualify as a specialty occupation for the E-3?
Yes, provided the role requires a bachelor's degree or higher in a specific technical field such as computer science, data science, or machine learning. Generic manager titles can raise questions during the LCA stage, so the job description must clearly articulate the degree-level technical requirements, not just team leadership responsibilities.
How does the E-3 compare to the H-1B for Machine Learning Manager roles?
The E-3 has no annual lottery and no numerical cap, so you can apply at any time of year without being excluded by chance. The H-1B has an 85,000-slot annual cap with a lottery that turns away most applicants. For Australian professionals, the E-3 is a direct and repeatable path that doesn't depend on random selection.
Can I change employers while on an E-3 as a Machine Learning Manager?
Yes, but you need to restart the process with the new employer. The new employer files a fresh LCA with DOL and you attend a new consulate appointment, or file a change of status with USCIS if you're already in the U.S. You can begin working for the new employer once the new E-3 is approved, not before.
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