GT Machine Learning Technical Lead, Artificial Intelligence (AI) Required, Work From Home Ginas Tech Jobs · Remote · US · Machine Learning Engineering $190,000–$225,000 12d ago

Aimlroles; San Francisco (CA); Remote; USD 150,000 - 210,000; Full time

Benefits offered by this job

Medical Insurance

Dental

Vision

Savings Plan

PTO

Job summary

Aimlroles is seeking a Machine Learning Technical Lead for a 100% remote role in the United States. You will own the execution layer of intelligence, translating research into scalable, production-grade ML systems and partnering with research, infra, and product teams.

You will design end-to-end ML pipelines, optimize GPU workloads, ensure safety and reliability, and ship improvements quickly under real production constraints, focusing on latency, cost, and quality.

Qualifications

• Real ML systems experience beyond demos.
• AI experience required.
• Experience with large models and understanding failure modes.
• Strong production-grade coding practices.
• You are self-directed, pragmatic, and take ownership.

Responsibilities

• Own end-to-end 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.
• Own production deployment, including GPU optimization, memory efficiency, latency reduction, and scaling policies.
• Collaborate with application engineering to integrate ML systems into backend, mobile, and desktop products.
• Make pragmatic trade-offs and ship improvements quickly.
• Work under real production constraints: latency, cost, reliability, and safety.

Skills

Self-directed ownership

Clear communication

Team collaboration

Pragmatic problem solving

Tools

JAX

Python

PyTorch

Job description

Machine Learning Technical Lead, Artificial Intelligence (AI) Required, Work From Home

As Machine Learning Technical Lead, you own the execution layer of intelligence. You will translate research direction into reliable, scalable, production-grade ML systems. This role sits at the intersection of research, infrastructure, and product. You will be responsible for making models trainable, deployable, observable, and performant under real-world constraints. This position is 100% Remote.

Machine Learning Technical Lead Responsibilities:

• Own end-to-end 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 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

Machine Learning Technical Lead Outcomes:

• Research and models reliably translate into production-ready solutions with clear performance and quality targets.
• 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 ML work with minimal friction.
• Iterations on models and systems are measurable, safe, and improve user experience over time.

Machine Learning Technical Lead Qualifications:

• Experience building or shipping real Machine Learning 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.
• You communicate 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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