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ML Engineering Lead

TechTriad

San Francisco · Hybrid Full-time Lead 2w ago

About the role

About Us

We’re looking for a hands-on ML Engineering Lead to join our core engineering team and help shape the future of AI-powered products. This is an opportunity to lead cutting-edge ML/AI initiatives in an early-stage, high-impact environment where you’ll own technical direction from strategy to production.

What You’ll Do:

  • Lead the ML/AI function end-to-end across the organization
  • Architect and scale multi-modal, agentic AI systems
  • Drive development of LLM-powered workflows and intelligent agents
  • Define evaluation frameworks, datasets, and performance metrics
  • Ensure production reliability, scalability, and compliance of ML systems
  • Mentor and grow a high-performing ML engineering team
  • Collaborate closely with product and engineering leadership

What We’re Looking For:

  • 8+ years of ML/AI engineering experience
  • Strong experience with LLMs, Generative AI, and agentic systems
  • Expertise in deep learning, transformers, model evaluation, and ML fundamentals
  • Experience deploying and scaling ML systems in production environments
  • Strong leadership and architecture decision-making skills
  • Ability to thrive in fast-paced, ambiguous startup environments

Bonus Skills:

  • RAG systems, orchestration frameworks, long-context reasoning
  • Fine-tuning open-source & closed LLMs
  • Full-stack ML exposure (data → infra → APIs)
  • Strong product mindset with focus on real-world impact

Skills

AIDeep LearningGenerative AILLMMLTransformers

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