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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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