GT Senior Machine Learning Engineer, Artificial Intelligence (AI) Required, Work From Home Ginas Tech Jobs · Remote · US · Machine Learning Engineering $170,000–$190,000 12d ago

Aimlroles; San Francisco (CA); Remote; USD 180,000 - 240,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Savings plan options

Paid time off

Job summary

Aimlroles is seeking a Senior Machine Learning Engineer to own critical ML subsystems in production. This role is 100% remote and demands hands-on work, fast iteration, and deep expertise in AI.

You will build and maintain scalable ML systems, handle data pipelines, and collaborate across research, product, and engineering teams. You will mentor peers, improve production quality, and ensure latency, reliability, and safety targets are met while operating within real production constraints.

Qualifications

• Experience building and shipping ML systems used by real users.
• AI experience required.
• Experience understanding how modern 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.

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 model failures using real production signals.
• Ship quickly, measure outcomes, and refine.
• Collaborate with research, product, and engineering for real user impact.
• Mentor peers and review ML engineer work.
• Operate under production constraints: latency, cost, reliability, safety.

Skills

AI experience

Production ML

Systems thinking

Independent work

Clear communication

Tools

GPU-based training/inference systems

JAX

Python

PyTorch

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:

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

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