Remote Sr Staff Machine Learning Engineer Jobs
Remote Sr Staff Machine Learning Engineer jobs are available nationwide at employers like CVS Health, Alvarez & Marsal, and Netflix and other distributed teams, at every experience level. Scan the live roles below and apply to whichever ones fit.
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Showing 5 of 460+ Remote Sr Staff Machine Learning Engineer jobs
INTRODUCTION
Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.
ABOUT THE ROLE
Machine Learning and Artificial Intelligence are at the heart of the Airbnb product. From Trust to Payments, and from Customer Service to Marketing we rely on ML to ensure that guests and hosts have the best possible experience with Airbnb. The Community Support Products (CSP) Machine Learning team is the core team responsible for driving CSxAI (Customer Support x Artificial Intelligence) initiatives by adopting the Generative AI technologies to enable an intelligent, scalable and exceptional service experience. The team develops and enhances various AI models, ML services and tools including LLM fine-tuning and optimization, RAG/Search, LLM evaluation and testing automation, feedback-based learning and guardrail for a wide range of applications in Airbnb. The richness of Airbnb's data, the complexity of its marketplace and the variety innate in our product mean that we need to operate at the state of the art of AI practice. We are committed to investing in long term innovation to solve the complex problems we face, and to do that we need the very best experts in ML and AI to join us.
THE DIFFERENCE YOU WILL MAKE
We believe our current customer experiences in these domains are only scratching the surface of the innovations that are possible, and that science is at the heart of delivering a step-function change for our Guest and Host on Airbnb. You will build and leverage cutting edge AI technologies to transform Airbnb’s customer service by delivering personalized, easy-to-use and proactive customer service experience. Many of the initiatives you’ll tackle are in their early conceptual stages. You will have the opportunity to shape these ideas from inception to production, turning visionary concepts into impactful realities.
A TYPICAL DAY
- Envision, champion, and support the development of novel ML systems, product integrations, and performance optimizations to solve real-world problems
- Work cross-functionally with product, design, and other engineering counterparts to design and build efficient AI solutions for Airbnb CS products
- Learn and share the latest AI/ML technologies with the team.
YOUR EXPERTISE
- PhD/Master’s degree, preferably in CS, or equivalent experience
- 9+ years of ML engineering experience, with ownership responsibility over large-scale software systems
- Background in the design and development of AI and ML systems and services, and a deep passion for building efficient and scalable ML-powered products
- Experience with LLM driven chatbot and Agentic AI products would be a big plus
- Excellent communication skills and the ability to work well within a team and with teams across the engineering, product & design organizations
YOUR LOCATION:
This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from.
OUR COMMITMENT TO INCLUSION & BELONGING
Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply. We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process. We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.
HOW WE'LL TAKE CARE OF YOU
Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.
Pay Range $212,000—$260,000 USD
INTRODUCTION
Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.
ABOUT THE ROLE
Machine Learning and Artificial Intelligence are at the heart of the Airbnb product. From Trust to Payments, and from Customer Service to Marketing we rely on ML to ensure that guests and hosts have the best possible experience with Airbnb. The Community Support Products (CSP) Machine Learning team is the core team responsible for driving CSxAI (Customer Support x Artificial Intelligence) initiatives by adopting the Generative AI technologies to enable an intelligent, scalable and exceptional service experience. The team develops and enhances various AI models, ML services and tools including LLM fine-tuning and optimization, RAG/Search, LLM evaluation and testing automation, feedback-based learning and guardrail for a wide range of applications in Airbnb. The richness of Airbnb's data, the complexity of its marketplace and the variety innate in our product mean that we need to operate at the state of the art of AI practice. We are committed to investing in long term innovation to solve the complex problems we face, and to do that we need the very best experts in ML and AI to join us.
THE DIFFERENCE YOU WILL MAKE
We believe our current customer experiences in these domains are only scratching the surface of the innovations that are possible, and that science is at the heart of delivering a step-function change for our Guest and Host on Airbnb. You will build and leverage cutting edge AI technologies to transform Airbnb’s customer service by delivering personalized, easy-to-use and proactive customer service experience. Many of the initiatives you’ll tackle are in their early conceptual stages. You will have the opportunity to shape these ideas from inception to production, turning visionary concepts into impactful realities.
A TYPICAL DAY
- Envision, champion, and support the development of novel ML systems, product integrations, and performance optimizations to solve real-world problems
- Work cross-functionally with product, design, and other engineering counterparts to design and build efficient AI solutions for Airbnb CS products
- Learn and share the latest AI/ML technologies with the team.
YOUR EXPERTISE
- PhD/Master’s degree, preferably in CS, or equivalent experience
- 9+ years of ML engineering experience, with ownership responsibility over large-scale software systems
- Background in the design and development of AI and ML systems and services, and a deep passion for building efficient and scalable ML-powered products
- Experience with LLM driven chatbot and Agentic AI products would be a big plus
- Excellent communication skills and the ability to work well within a team and with teams across the engineering, product & design organizations
YOUR LOCATION:
This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. Click here for the up-to-date list of excluded states. This list is continuously evolving, so please check back with us if the state you live in is on the exclusion list. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from.
OUR COMMITMENT TO INCLUSION & BELONGING
Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply. We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: reasonableaccommodations@airbnb.com. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process. We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.
HOW WE'LL TAKE CARE OF YOU
Our job titles may span more than one career level. The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.
Pay Range $212,000—$260,000 USD
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Who's Hiring
- CVS Health34
- Alvarez & Marsal26
- Netflix18
- Airbnb12
- Jobot10
Top Industries Hiring
- Technology & Software139
- Consulting & Professional Services57
- Healthcare & Medical Services53
- Investment & Asset Management30
- Accounting & Auditing27
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
Quantify model impact on your resume
Hiring committees at this level want to see the business outcome, not just the architecture. Replace generic bullets with metrics tied to latency reduction, revenue lift, or compute cost savings your models delivered at scale.
Showcase cross-functional technical leadership
Sr staff roles require you to drive decisions across research, product, and platform teams. Your resume and cover letter should name specific initiatives where you set the technical direction and influenced headcount or roadmap prioritization.
Filter openings by stack before applying
Job descriptions at this level vary widely between PyTorch-heavy research shops and TensorFlow-plus-Vertex production environments. Match your depth in distributed training frameworks, feature stores, and serving infrastructure to what each listing explicitly calls out.
Apply early to roles that fit
Migrate Mate lists sr staff machine learning engineer openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Prepare a system design narrative for interviews
Expect a multi-hour design loop where you architect an end-to-end ML system under real constraints. Practice explaining your tradeoff reasoning aloud, especially around data pipelines, model versioning, and online versus offline inference decisions.
Negotiate scope and resources alongside compensation
At the sr staff level, your offer negotiation should include compute budget, team size, and reporting structure. Clarify whether the role owns a platform team or embeds in product, since that distinction shapes your long-term influence and career trajectory.
Remote Sr Staff Machine Learning Engineer Jobs: Frequently Asked Questions
How do I get a remote sr staff machine learning engineer job?
Target companies that already run distributed teams, since they hire remotely by default and know how to onboard someone they never meet in person. Remote sr staff machine learning engineer employers screen hard for self-direction and clear written communication on top of the core skills, so show evidence you can own work without someone over your shoulder. Apply to the openings above that match your experience.
Which companies hire remote sr staff machine learning engineers?
Employers currently hiring remote sr staff machine learning engineers include CVS Health, Alvarez & Marsal, and Netflix, per current remote listings on Migrate Mate as of June 2026. Remote-first firms and large companies running distributed teams post the most remote sr staff machine learning engineer roles.
Can you get a remote sr staff machine learning engineer job with no experience?
Yes, but it is harder than an on-site role, because remote work expects you to operate independently from the start. Entry-level remote sr staff machine learning engineer openings do exist, especially at remote-first companies, and a portfolio of real work helps more than a long resume. Applying broadly to the roles that fit improves your odds.
Do you need a degree for remote sr staff machine learning engineer jobs?
Not always. Many employers hire remote sr staff machine learning engineers on demonstrated skills and prior work rather than a specific degree, though some larger companies still prefer one. Showing relevant results matters more than a credential for most remote sr staff machine learning engineer roles.
Which industries hire the most remote sr staff machine learning engineers?
Most remote sr staff machine learning engineer openings sit in Technology & Software, Consulting & Professional Services, and Healthcare & Medical Services, per current remote listings on Migrate Mate as of June 2026. These sectors run distributed teams and hire sr staff machine learning engineers remotely most consistently.
See All 460+ Remote Sr Staff Machine Learning Engineer Jobs
Find roles that match your experience and apply in just a few clicks.
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