Machine Learning Technical Lead, Artificial Intelligence (AI) Required, Work From Home at Ginas Tech Jobs | San Francisco, US | Rezi

Machine Learning Technical Lead, Artificial Intelligence (AI) Required, Work From Home at Ginas Tech Jobs

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

Ginas Tech Jobs · San Francisco, US

2 weeks ago

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

Ginas Tech Jobs · San Francisco, US

19 days ago
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About the Role

As Machine Learning Technical Lead, you will own the execution layer of intelligence, translating research direction into reliable, scalable, production-grade ML systems. This role sits at the intersection of research, infrastructure, and product, focusing on making models trainable, deployable, observable, and performant under real-world constraints.

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.

Requirements

  • 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.
  • Self-directed, pragmatic, and takes full ownership of outcomes.
  • Communicates clearly and collaborates well in small, high-trust teams.

Skills

  • JAX
  • Python
  • PyTorch
  • LoRA
  • QLoRA
  • SFT
  • DPO
  • Distillation
  • GPU Optimization

Location

  • San Francisco, CA

Work Type

  • Work From Home
  • Remote

Experience Level

  • Technical Lead

Salary/Compensations

  • USD 190000 - USD 225000 - yearly

Benefits

  • Medical insurance
  • Dental
  • Vision
  • Savings Plan Options
  • PTO