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

Ginas Tech Jobs; United States; Remote; USD 170,000 - 190,000; Full time

Benefits offered by this job

Medical insurance

Dental

Vision

Savings plan

PTO

Job summary

Ginas Tech Jobs is seeking a Senior Machine Learning Engineer for a fully remote role. You will own critical ML subsystems, from data prep to inference, shipping reliable systems at scale, and collaborating with cross-functional teams to deliver tangible user impact.

This hands-on position emphasizes depth, production reliability, and operating under real-world constraints such as latency and cost. You will mentor peers and drive AI initiatives across the product.

Qualifications

• Experience building and shipping ML systems used by real users.
• AI experience required.
• Understanding how modern ML models behave and misbehave in production.
• Production-quality code and systems thinking.
• Independent ownership and the ability to push work to finish.
• Fast learner and clear communicator.

Responsibilities

• Build core ML systems powering a proactive AI product.
• Own end-to-end: data prep, training, evaluation, inference, and iteration.
• Turn research ideas into production-ready systems.
• Debug production issues using live signals.
• Iterate quickly: ship, measure outcomes, refine.
• Collaborate with research, product, and engineering to deliver impact.
• Mentor ML engineers through example and guidance.
• Work under production constraints: latency, cost, reliability, and safety.

Tools

JAX

PyTorch

Python

GPU-based training

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.

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.

Compensation: USD 170000 – USD 190000 – yearly

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