Remote Sr Staff Machine Learning Engineer Jobs
Remote Sr Staff Machine Learning Engineer jobs are open across the U.S. at remote-first firms and distributed engineering teams in sectors like technology, fintech, and healthcare. Employers hiring remotely right now include Airbnb, reddit, and Payabli. Scan the live roles below and apply to whichever ones fit.
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Showing 5 of 30+ Remote Sr Staff Machine Learning Engineer jobs
Reddit has a flexible first workforce!
We're looking for a Staff-level Machine Learning Engineer to join Reddit's Ads Ranking Org. This role is part of a broader effort to enhance Reddit's ML-powered ad ranking systems through improved model architectures, contextual embeddings, and conversion-optimized modeling.
The ideal candidate will bring strong end-to-end modeling expertise, a deep understanding of modern deep learning techniques, and a passion for building systems that drive measurable impact in ads marketplaces. While ads experience is a plus, strong modelers from recommendation systems, search relevance, or other performance-driven domains are encouraged to apply. This position will sit on the App Ads Modeling team and report directly into the Ranking Org.
Responsibilities:
- Design and train advanced ML models (e.g., DNNs, transformers) to power Reddit Ads Ranking
- Develop and optimize features including embeddings, contextual signals, and cross-session behavior
- Work closely with product, infra, and data teams to drive end-to-end model deployment and performance analysis
- Mentor other MLEs and contribute to modeling best practices across the org
- Shape the long-term modeling vision across one or more domains (conversion, app ads, shopping, brand, etc.)
Required Qualifications:
- 7+ years of industry experience, including several years in applied ML roles
- Strong experience with Deep Learning architectures and ML frameworks (TensorFlow, PyTorch)
- Strong background in recommendation systems, ads ranking, or similar domains
- Experience working with large-scale datasets and complex feature pipelines
- Strong problem-solving and experimentation skills
- State of the Art models for Ads or Recsys experience (ex: Transformers, Recsys)
- Knowledge about Recsys or Ads funnel
- Track record of delivering high-impact models in production settings
- Comfort collaborating with infra and data teams on feature serving and training pipelines
Preferred Qualifications:
- Experience with conversion modeling, app ads, or performance/brand ads
- Experience in ads marketplaces at peer companies
- Publications, patents, or industry contributions in applied ML or ranking systems
Benefits:
- 100% remote opportunity (we have 4 office locations for hybrid/onsite work preference in NY, SF, LA and Chicago)
- 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
#LI-AJ1
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.
Reddit has a flexible first workforce!
We're looking for a Staff-level Machine Learning Engineer to join Reddit's Ads Ranking Org. This role is part of a broader effort to enhance Reddit's ML-powered ad ranking systems through improved model architectures, contextual embeddings, and conversion-optimized modeling.
The ideal candidate will bring strong end-to-end modeling expertise, a deep understanding of modern deep learning techniques, and a passion for building systems that drive measurable impact in ads marketplaces. While ads experience is a plus, strong modelers from recommendation systems, search relevance, or other performance-driven domains are encouraged to apply. This position will sit on the App Ads Modeling team and report directly into the Ranking Org.
Responsibilities:
- Design and train advanced ML models (e.g., DNNs, transformers) to power Reddit Ads Ranking
- Develop and optimize features including embeddings, contextual signals, and cross-session behavior
- Work closely with product, infra, and data teams to drive end-to-end model deployment and performance analysis
- Mentor other MLEs and contribute to modeling best practices across the org
- Shape the long-term modeling vision across one or more domains (conversion, app ads, shopping, brand, etc.)
Required Qualifications:
- 7+ years of industry experience, including several years in applied ML roles
- Strong experience with Deep Learning architectures and ML frameworks (TensorFlow, PyTorch)
- Strong background in recommendation systems, ads ranking, or similar domains
- Experience working with large-scale datasets and complex feature pipelines
- Strong problem-solving and experimentation skills
- State of the Art models for Ads or Recsys experience (ex: Transformers, Recsys)
- Knowledge about Recsys or Ads funnel
- Track record of delivering high-impact models in production settings
- Comfort collaborating with infra and data teams on feature serving and training pipelines
Preferred Qualifications:
- Experience with conversion modeling, app ads, or performance/brand ads
- Experience in ads marketplaces at peer companies
- Publications, patents, or industry contributions in applied ML or ranking systems
Benefits:
- 100% remote opportunity (we have 4 office locations for hybrid/onsite work preference in NY, SF, LA and Chicago)
- 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
#LI-AJ1
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 30 Remote Sr Staff Machine Learning Engineer Jobs
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Find JobsRemote Sr Staff Machine Learning Engineer Job Market
Who's Hiring
Top Industries Hiring
- Hospitality & Tourism
- Technology & Software
- Automotive
- Media & Entertainment
- Electronics & Hardware
What Employers Look For
The qualifications that appear most often in remote sr staff machine learning engineer jobs.
- PhD or Master's degree in computer science, statistics, or a closely related field
- 8 or more years of industry experience building and shipping production machine learning systems
- Deep expertise in distributed training frameworks such as PyTorch, TensorFlow, or JAX
- Experience designing and operating large-scale ML infrastructure including feature stores and model serving
- Demonstrated technical leadership across cross-functional teams including research, engineering, and product
- Proficiency in MLOps tooling including experiment tracking, model registries, and CI/CD pipelines for ML
Tips for Your Remote Sr Staff Machine Learning Engineer Job Search
Demonstrate async leadership in your application materials
Remote sr staff machine learning engineers are expected to lead technical direction across time zones without real-time coordination. Highlight specific instances where you drove ML architecture decisions, unblocked distributed teams, or produced written design documents that others executed from.
Apply early to remote roles that fit
Migrate Mate lists remote sr staff machine learning engineer openings from across the U.S. in one place, so you can find roles that match your skills and apply directly without sorting through unrelated listings.
Build a public record of technical depth
Remote hiring teams for sr staff ML roles can't evaluate you in person, so they rely on what they can find. Publish ML system designs, contribute to open-source frameworks, or share architecture write-ups that demonstrate the scale and complexity of the problems you've solved.
Prepare for distributed-team interview formats
Remote sr staff ML interviews often include asynchronous take-home system design exercises and written technical assessments alongside live sessions. Practice articulating ML architecture tradeoffs clearly in writing, not just verbally, since written communication is a core sr staff remote skill.
Remote Sr Staff Machine Learning Engineer Jobs: Frequently Asked Questions
How do I get a remote sr staff machine learning engineer job?
Target remote-first companies and distributed engineering organizations that have built their workflows around async collaboration, since those teams are most likely to hire sr staff machine learning engineers without requiring office presence. Remote employers at this level screen heavily for self-direction, clear written communication, and the ability to drive large-scale ML systems and mentor others without in-person oversight. A strong portfolio of shipped models, published research, or open-source contributions signals you can execute independently from day one.
Which companies hire remote sr staff machine learning engineers?
Employers currently hiring remote sr staff machine learning engineers include Airbnb, reddit, and Payabli, per current remote listings on Migrate Mate as of September 2026. The bulk of remote openings at this level come from remote-first technology companies, fintech platforms, and healthcare AI firms that run fully distributed engineering teams.
Can you get a remote sr staff machine learning engineer job with no experience?
Yes, but remote entry paths into sr staff-level ML roles are narrow because distributed teams expect you to operate with significant autonomy from the start. Your best opening is contributing to open-source ML projects, building and sharing reproducible end-to-end pipelines, or completing advanced ML engineering coursework with published results. Remote-first startups and smaller AI teams are more willing to weigh demonstrated project work over formal experience than large enterprises are.
Do you need a degree for remote sr staff machine learning engineer jobs?
Not always, though a graduate degree in computer science, statistics, or a related field is common at the sr staff level. Remote employers at this tier weigh your ability to design and scale ML systems, lead technical direction, and communicate complex decisions in writing just as heavily as credentials. A strong publication record, significant open-source work, or a portfolio of high-impact shipped systems can offset or substitute for a formal degree at many remote-first organizations.
Which industries hire the most remote sr staff machine learning engineers?
Most remote sr staff machine learning engineer openings sit in Hospitality & Tourism, Technology & Software, and Automotive, per current remote listings on Migrate Mate as of September 2026. Those sectors rely on distributed engineering teams to build and maintain large-scale ML infrastructure, which makes remote sr staff machine learning engineers a natural fit for their operating model.
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