GT Staff Machine Learning Engineer, Artificial Intelligence (AI) Required, Work From Home Ginas Tech Jobs · Remote · US · Machine Learning Engineering $150,000–$170,000 12d ago

Aimlroles; San Francisco (CA); Remote; USD 180,000 - 260,000; Full time

Benefits offered by this job

Medical insurance

Dental

Vision

Savings Plan Options

PTO

Job summary

Aimlroles is seeking a Staff Machine Learning Engineer to own the execution layer of intelligent systems. You will translate research into reliable, scalable ML production workflows, including data pipelines, training, inference, and deployment across backend, mobile, and desktop environments.

You will fine-tune models with LoRA/QLoRA/SFT/DPO, design scalable inference, and partner with research leadership on evaluation pipelines for safety, bias, and performance.

Qualifications

• Experience building or shipping real ML systems.
• AI experience required.
• Experience with large models and their failure modes.
• Strong production-grade coding experience.
• Self-directed and ownership mindset.
• Clear communication and collaboration in small teams.

Responsibilities

• Own end-to-end ML system execution: data pipelines, training workflows, evaluation systems, inference architecture, and deployment.
• Fine-tune models using LoRA, QLoRA, SFT, DPO, and distillation.
• Architect scalable inference systems balancing latency, cost and reliability.
• Design and maintain data systems for high-quality training data.
• Implement evaluation pipelines covering performance, safety, and bias.
• Own production deployment, including GPU optimization, memory efficiency, latency reduction, and scaling policies.
• Collaborate with application engineering to integrate ML systems into products.
• Make pragmatic trade-offs and ship improvements quickly under real usage constraints.
• Work under production constraints: latency, cost, reliability, and safety.

Skills

Experience shipping ML systems

AI experience

Large models

Production-grade coding

Self-directed

Communication

Team collaboration

Tools

JAX

Python

PyTorch

Job description

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

As the Staff Machine Learning Engineer, you own the execution layer of intelligence. You translate research direction into reliable, scalable, production-grade Machine Learning (ML) systems. This role sits at the intersection of research, infrastructure, and product. You are responsible for making models trainable, deployable, observable, and performant under real-world constraints.

This position is 100% Remote.

Staff Machine Learning Engineer Responsibilities:

• Own end-to-end Machine Learning (ML) system execution: data pipelines, training workflows, evaluation systems, inference architecture, and deployment.
• Fine-tune and adapt models using state-of-the-art methods such as LoRA, QLoRA, SFT, DPO, and distillation.
• Architect and operate scalable inference systems, balancing latency, cost, and reliability.
• Design and maintain data systems for high-quality synthetic and real-world training data.
• Implement evaluation pipelines covering performance, robustness, safety, and bias, in partnership with research leadership.
• Own production deployment, including GPU optimization, memory efficiency, latency reduction, and scaling policies.
• Collaborate closely with application engineering to integrate Machine Learning (ML) systems cleanly into backend, mobile, and desktop products.
• Make pragmatic trade-offs and ship improvements quickly, learning from real usage.
• Work under real production constraints: latency, cost, reliability, and safety

Staff Machine Learning Engineer Outcomes

• Research and models reliably translate into production-ready solutions with clear performance and quality targets.
• Machine Learning (ML) pipelines, training loops, and inference systems are stable, efficient, and maintainable.
• Production issues are detected, debugged, and resolved quickly, minimizing user impact.
• Team members are supported, aligned, and able to deliver high-impact Machine Learning (ML) work with minimal friction.
• Iterations on models and systems are measurable, safe, and improve user experience over time.

Staff Machine Learning Engineer Qualifications:

• Experience building or shipping real Machine Learning (ML) systems used by people, not just demos.
• Artificial Intelligence (AI) experience required.
• Experience working with large models and understanding their failure modes.
• Experience writing strong, production-grade code.
• You are self-directed, pragmatic, and take full ownership of outcomes.
• Experience communicating clearly and collaborate well in small, high-trust teams.
• Tech Stack: GPU-based training and inference system, JAX, Python, and PyTorch.

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

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