Remote Machine Learning Manager Jobs
Remote Machine Learning Manager jobs are open across technology, finance, and healthcare at remote-first companies and distributed teams, from senior individual-contributor-to-manager transitions to director-level ML leadership roles. Employers hiring remotely right now include Block, CVS Health, and Affirm. Find a role that fits below and apply directly.
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INTRODUCTION
Kforce has a client in Austin, TX that is seeking a Machine Learning & AI Infrastructure Engineer. This is not a traditional AI Engineer or Data Scientist role. The hiring team is specifically seeking a unique blend of: HPC Administrator + Kubernetes Administrator + AI Infrastructure Operations Engineer. Candidates who have owned, operated, supported, and troubleshot production AI or HPC environments will be the strongest fit. Experience administering and maintaining systems is significantly more important than architecture-only experience.
Responsibilities
- Administer and support AI and HPC cluster environments
- Manage day-to-day operations of large-scale compute infrastructure
- Deploy, maintain, and troubleshoot Kubernetes-based platforms
- Ensure reliability, performance, and scalability across compute, storage, and networking environments
- Support AI model training and inference infrastructure
- Automate operational processes through scripting and tooling
- Partner with engineering teams and customers to optimize platform performance
- Troubleshoot complex infrastructure, networking, storage, and containerization issues
- Support both internal platforms and customer-facing environments
Why Consider This Opportunity?
- 100% Remote Environment
- Exposure to cutting-edge AI, GenAI, and HPC technologies
- Flat organizational structure with minimal bureaucracy
- Direct impact on strategic technology initiatives
- Opportunity to work on platforms that support healthcare, research, drug discovery, and other meaningful AI-driven innovations
- High visibility and collaboration with industry-leading technical teams
COMPENSATION & BENEFITS
- Base Salary: $175,000 - $200,000+
- Annual Bonus: Typically 10%-15%
- Medical, Dental, and Vision Coverage
- 401(k)
- Additional performance-based incentives
REQUIREMENTS
- Strong experience administering High Performance Computing (HPC) environments
- Experience with AI cluster administration and infrastructure operations
- Hands-on Kubernetes administration experience in on-premises environments
- Experience provisioning and managing PV/PVC storage through Kubernetes CSI drivers
- Strong Linux administration skills, specifically Ubuntu
- Scripting experience with Bash and/or Python
- Proven troubleshooting and operational support experience
- Ability to manage and maintain production infrastructure environments
Experience With One Or More Of The Following
- Dell PowerScale/Isilon
- VAST Storage
- NetApp ONTAP
- DDN IntelliFlash
- DDN Exascaler
- Lustre Parallel File Systems
Successful Candidates May Come From Organizations Focused On
- AI Infrastructure
- Machine Learning Platforms
- HPC Operations
- Research Computing
- Biotechnology
- Academic Medical Centers
- Digital Biology
- Financial Services AI Platforms
- Automotive AI Initiatives
- Large-Scale Data Science Environments
PREFERRED
- NVIDIA ecosystem experience
- NVIDIA Base Command Manager (BCM)
- Bright Cluster Manager
- MLOps platform exposure
- Containerization technologies and orchestration platforms
- High-performance networking experience
- RDMA technologies
- InfiniBand networking
- NVIDIA UFM
- Parallel file system administration
- Storage Technologies (highly desired)
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future. We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law. This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
By clicking “Apply Today” you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.
INTRODUCTION
Kforce has a client in Austin, TX that is seeking a Machine Learning & AI Infrastructure Engineer. This is not a traditional AI Engineer or Data Scientist role. The hiring team is specifically seeking a unique blend of: HPC Administrator + Kubernetes Administrator + AI Infrastructure Operations Engineer. Candidates who have owned, operated, supported, and troubleshot production AI or HPC environments will be the strongest fit. Experience administering and maintaining systems is significantly more important than architecture-only experience.
Responsibilities
- Administer and support AI and HPC cluster environments
- Manage day-to-day operations of large-scale compute infrastructure
- Deploy, maintain, and troubleshoot Kubernetes-based platforms
- Ensure reliability, performance, and scalability across compute, storage, and networking environments
- Support AI model training and inference infrastructure
- Automate operational processes through scripting and tooling
- Partner with engineering teams and customers to optimize platform performance
- Troubleshoot complex infrastructure, networking, storage, and containerization issues
- Support both internal platforms and customer-facing environments
Why Consider This Opportunity?
- 100% Remote Environment
- Exposure to cutting-edge AI, GenAI, and HPC technologies
- Flat organizational structure with minimal bureaucracy
- Direct impact on strategic technology initiatives
- Opportunity to work on platforms that support healthcare, research, drug discovery, and other meaningful AI-driven innovations
- High visibility and collaboration with industry-leading technical teams
COMPENSATION & BENEFITS
- Base Salary: $175,000 - $200,000+
- Annual Bonus: Typically 10%-15%
- Medical, Dental, and Vision Coverage
- 401(k)
- Additional performance-based incentives
REQUIREMENTS
- Strong experience administering High Performance Computing (HPC) environments
- Experience with AI cluster administration and infrastructure operations
- Hands-on Kubernetes administration experience in on-premises environments
- Experience provisioning and managing PV/PVC storage through Kubernetes CSI drivers
- Strong Linux administration skills, specifically Ubuntu
- Scripting experience with Bash and/or Python
- Proven troubleshooting and operational support experience
- Ability to manage and maintain production infrastructure environments
Experience With One Or More Of The Following
- Dell PowerScale/Isilon
- VAST Storage
- NetApp ONTAP
- DDN IntelliFlash
- DDN Exascaler
- Lustre Parallel File Systems
Successful Candidates May Come From Organizations Focused On
- AI Infrastructure
- Machine Learning Platforms
- HPC Operations
- Research Computing
- Biotechnology
- Academic Medical Centers
- Digital Biology
- Financial Services AI Platforms
- Automotive AI Initiatives
- Large-Scale Data Science Environments
PREFERRED
- NVIDIA ecosystem experience
- NVIDIA Base Command Manager (BCM)
- Bright Cluster Manager
- MLOps platform exposure
- Containerization technologies and orchestration platforms
- High-performance networking experience
- RDMA technologies
- InfiniBand networking
- NVIDIA UFM
- Parallel file system administration
- Storage Technologies (highly desired)
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future. We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law. This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
By clicking “Apply Today” you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.
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Who's Hiring
Top Industries Hiring
- Technology & Software33
- Consulting & Professional Services17
- Healthcare & Medical Services10
- Banking & Financial Services7
- Hospitality & Tourism6
What Employers Look For
The qualifications that appear most often in remote machine learning manager jobs.
- 5+ years of machine learning experience with at least 2 years managing or leading teams
- Proficiency in Python and frameworks such as PyTorch, TensorFlow, or JAX
- Experience taking machine learning models from prototype to production at scale
- Strong cross-functional collaboration skills with product, engineering, and data teams
- Familiarity with MLOps tooling including experiment tracking, model registries, and CI/CD pipelines
- Graduate degree in computer science, statistics, mathematics, or a closely related field
Tips for Your Remote Machine Learning Manager Job Search
Apply early to remote roles that fit
Migrate Mate lists remote machine learning manager openings from across the U.S. in one place, so you can find roles that match your background and apply directly without sorting through unrelated listings.
Prove async leadership before the interview
Remote employers want evidence you can manage distributed engineers without daily standups. Write up a concise decision log or architecture memo from a past project and share it during the process. Concrete written artifacts outperform verbal claims about remote readiness.
Build your remote ML management portfolio
Document the models you have shipped, the team structures you have run, and the outcomes you have delivered in a public or shareable format. Remote hiring managers review portfolios before calls because they cannot walk the floor and observe your work style in person.
Prepare for distributed-team interview formats
Remote machine learning manager interviews often include a written take-home case, an async video screen, and a panel call across multiple time zones. Practice narrating technical tradeoffs in writing and structuring your answers for asynchronous review, not just real-time delivery.
Remote Machine Learning Manager Jobs: Frequently Asked Questions
How do I get a remote machine learning manager job?
Target remote-first technology companies, fintech firms, and healthcare AI teams, which hire machine learning managers without requiring on-site presence. Remote employers screen heavily for written communication, comfort with async collaboration tools like Slack and Notion, and the ability to drive ML roadmaps without daily in-person oversight. Candidates who document prior remote or cross-functional leadership, even informally, stand out over those who only list technical credentials.
Which companies hire remote machine learning managers?
Companies hiring remote machine learning managers right now include Block, CVS Health, and Affirm, based on current remote listings on Migrate Mate as of August 2026. Remote-first technology firms, distributed fintech platforms, and enterprise software companies with global data teams tend to hire machine learning managers fully remotely.
Can you get a remote machine learning manager job with no experience?
Yes, but remote entry-level machine learning manager roles are rare because employers expect you to lead distributed engineers with minimal supervision from day one. The clearest path in is through remote ML engineer roles at smaller companies where you naturally absorb team leadership, then parlay that into a formal manager title. Demonstrating async mentorship, written technical decision-making, and ownership of shipped models can substitute for a traditional management title.
Do you need a degree for remote machine learning manager jobs?
Not always. Most remote employers list a degree in computer science, statistics, or a related field as preferred rather than required, especially when a candidate brings demonstrable results. Remote hiring teams weigh production ML systems you have shipped, open-source contributions, and evidence you can lead engineers across time zones as heavily as formal credentials.
Which industries hire the most remote machine learning managers?
The sectors hiring the most remote machine learning managers are Technology & Software, Consulting & Professional Services, and Healthcare & Medical Services, based on current remote listings on Migrate Mate as of August 2026. These sectors concentrate remote ML leadership because their engineering and data teams are already distributed across multiple locations and time zones.
See All 182+ Remote Machine Learning Manager Jobs
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