Senior Machine Learning Engineer - LLMs
$200k/y-$250k/y
Strativ Group3 days ago
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OnsiteFull-timeSenior
Summary
Strativ Group is seeking a Senior Machine Learning Engineer - LLMs to join their team in the San Francisco Bay Area. The role involves leading the engineering of production-grade LLM and agent systems for healthcare automation.
About the Role
As a Senior Machine Learning Engineer, you will be responsible for the end-to-end engineering of LLM-driven products, including architecture, evaluation, deployment, and monitoring. You will design workflows, build retrieval-augmented systems, and optimize model performance for reliability, latency, and cost. This position requires collaboration with Product, Clinical, and Engineering teams to create compliant, production-ready healthcare solutions.
About You
Required:
- 5+ years in ML Engineering with strong production experience.
- Deep hands-on experience with LLM ecosystems (e.g., Transformers, embeddings, RAG architectures).
- Experience building agent-based systems and orchestration frameworks.
- Strong software engineering fundamentals (Python, APIs, distributed systems).
- Experience deploying models in cloud environments (AWS/GCP/Azure).
- Familiarity with model evaluation, monitoring, and reliability engineering.
- Comfortable operating in high-ownership, fast-scaling startup environments.
Preferred:
- Experience in healthcare, healthtech, or regulated domains.
Benefits
- Mission-driven impact: Transforming healthcare workflows at scale.
- Serious backing: $30m raised from top-tier investors.
- Clear growth trajectory: Scaling from 70 to 200 employees.
- Engineering-first culture: Strong emphasis on shipping reliable systems.
- Ownership & influence: Early senior hire with architectural input.
- Competitive salary + meaningful equity.
Strativ Group
We are a multi award-winning team that does talent solutions. We live for innovation and work with ambitious businesses that make the world a better and safer place.
San Francisco Bay Area