Senior Machine Learning Engineer, Artificial Intelligence (AI) Required, Work From Home

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San Francisco, CA, us remote Until 9/8/2026 First posted July 10, 2026 Last posted July 10, 2026
Job description

Senior Machine Learning Engineer, Artificial Intelligence (AI) Required, Work From Home

 

As the Senior Machine Learning Engineer, you are an independent owner of critical Machine Learning (ML) subsystems in production.  You take ambiguous problems, design practical solutions, and ship systems that operate reliably at scale.  This is a hands-on, high-impact role focused on depth.  This position is 100% Remote.

 

Senior Machine Learning Engineer Responsibilities:

 

- Build core Machine Learning (ML) systems that power a proactive, long-horizon Artificial Intelligence (AI) product.

- Own work end-to-end: data preparation, training, evaluation, inference, and iteration.

- Turn research ideas into working systems that run reliably in production.

- Debug model failures and system issues using real production signals.

- Iterate quickly: ship, measure outcomes, refine, and repeat.

- Collaborate closely with research, product, and engineering to deliver real user impact.

- Mentor and review work from other Machine Learning (ML) engineers through example and technical judgment.

- Work under real production constraints: latency, cost, reliability, and safety

 

Senior Machine Learning Engineer Outcomes:

 

- Machine Learning (ML) models and systems in production consistently meet accuracy, latency, reliability, and efficiency targets.

- Complex production issues are monitored, debugged, and resolved with minimal disruption.

- Training, inference, and data pipelines are robust, scalable, and maintainable over time.

- Drive measurable improvements in Machine Learning (ML) systems based on real-world signals and user feedback.

- Provide mentorship and technical guidance to peers, raising the overall ML engineering standard.

- Collaborate cross-functionally to ensure Machine Learning (ML) features integrate seamlessly into products and meet business goals.

Senior Machine Learning Engineer Qualifications:

 

- Experience building and shipping Machine Learning (ML) systems used by real users.

- Artificial Intelligence (AI) experience required.

- Experience understanding how modern Machine Learning (ML) models behave and misbehave in production.

- Experience writing strong, production-quality code and think in systems, not scripts.

- Experience taking ownership, work independently, and push work across the finish line.

- You learn fast, communicate clearly, and improve through iteration.

- Tech Stack:  GPU-based training and inference systems, JAX, Python, and PyTorch.

 

Benefits include medical insurance, Dental, Vision, Savings Plan Options, PTO, etc.

 

Keywords:  San Francisco CA Jobs, Senior Machine Learning Engineer, AI, Artificial Intelligence, Engineering, GPU, JAX, Machine Learning, Python, PyTorch, Work From Home, Remote, California Recruiters, IT Jobs, California Recruiting

 

Looking to hire an Senior Machine Learning Engineer in San Francisco, CA or in other cities?  Our IT recruiting agencies and staffing companies can help.

 

We help companies that are looking to hire Senior Machine Learning Engineers for jobs in San Francisco, California and in other cities too.  Please contact our IT recruiting agencies and IT staffing companies today!

Please check out all of our jobs at www.ginastechjobs.com.

Compensation (from employer):
170000 – 190000 USD (YEARLY)

About this role

Summary

Build and optimize scalable machine learning systems for AI products in production.

Job title

Senior Machine Learning Engineer

Experience level

senior level

Industry

software

Location requirements

100% remote work, candidate can be anywhere

Salary

$170k–$190k

Management role

No

Skills & keywords

Required skills

machine learningaigpujaxpythonpytorch

Preferred skills

None specified

Specializations

machine learningartificial intelligencegpupythonpytorch
Locations

Structured locations inferred from the posting.

United States

Remote Country