Senior Machine Learning Engineer

Senior Machine Learning Engineer (GenAI and Agentic Systems)

Location: Palo Alto, CA (Hybrid )

Role Type: Full-Time / Permanent

Summary

Our client, a pioneering HealthTech AI firm in the Bay Area, is seeking a high-calibre Senior Applied AI Engineer to bridge the gap between advanced Machine Learning and robust Software Engineering. This is an end-to-end ownership role: you will be responsible for designing the logic, building the architecture, and deploying the final services.

Core Responsibilities

Architect AI Workflows: Design and implement sophisticated agentic workflows and automation sequences that power clinical decision-making.

System Design & Integration: Build the backend infrastructure, scalable REST APIs, and data services required to support high-concurrency AI applications.

Rapid Deployment: Maintain a high-velocity shipping cycle, moving from prototype to production-grade implementation in days.

Model Orchestration: Select, fine-tune, and evaluate the performance of various LLMs (including OpenAI, Anthropic, and open-source models) for specific healthcare tasks.

Full-Stack ML: Own the pipeline from data ingestion and time-series forecasting to real-time classification and model monitoring.

Technical Profile

Computer Science Mastery: Expert knowledge of algorithms, data structures, and distributed systems.

Software-Heavy Background: Professional-grade Python skills. You should be comfortable with software design patterns, testing, and CI/CD.

Machine Learning Fundamentals: * Deep understanding of Core ML topics: classification, regression, and clustering.

Specific experience in Time Series Forecasting and temporal data analysis.

Proficiency in Generative AI: RAG architectures, prompt optimization, and agent frameworks.

Infrastructure: Experience deploying services to cloud environments (GCP preferred) and a solid grasp of MLOps and pipeline automation.

Education: BS in Computer Science or related field + 4 years of experience, or an MS + 2 years of experience.

Cultural Fit

Startup Agility: You possess the "scrappiness" to solve problems with limited resources but the rigor to ensure those solutions are enterprise-grade.

The "Generalist" Mindset: You enjoy working across the entire stack and are not afraid to dive into data engineering or infrastructure when needed.

Mission-Oriented: You are motivated by the prospect of using AI to significantly improve patient outcomes and healthcare efficiency.

What’s Offered

Our client provides a highly competitive package, including a strong base salary, meaningful equity, and comprehensive premium healthcare benefits. You will join a world-class team of engineers in a collaborative, hybrid environment.