Hybrid ML Engineer — Agentic Systems for Healthcare AI

Lind; San Mateo (CA); Hybrid; USD 120,000 - 190,000; Full time

Job summary

Lind is seeking a Machine Learning Engineer — Agentic Systems in San Mateo, CA for a full-time hybrid role. You will build and optimize agent harnesses, develop models, and collaborate with product and clinical teams to translate requirements into robust ML solutions.

Ideal candidates have 2+ years in LLM harness development, strong CS fundamentals, and experience with healthcare data pipelines. You will work with large datasets, run experiments, monitor performance, and contribute to production

Qualifications

• 2+ years in LLM harness development.
• Strong CS fundamentals and algorithms.
• Experience with real-world healthcare data pipelines.
• Ability to explain technical concepts to non-technical stakeholders.

Responsibilities

• Build and optimize agent harnesses and model development.
• Collaborate with product and clinical teams to translate requirements into ML solutions.
• Work with large, heterogeneous datasets and conduct experiments.
• Monitor performance and iteratively improve speed, scalability, and safety.
• Participate in code reviews, documentation, and deployment processes.

Skills

LLM harness development

CS fundamentals

Cross-functional communication

Production ML systems

Tools

Python

PyTorch/TensorFlow

SQL

Job description

Lind is seeking a Machine Learning Engineer — Agentic Systems in San Mateo, CA for a full-time hybrid role. You will build and optimize agent harnesses, develop models, and collaborate with product and clinical teams to translate requirements into robust ML solutions.

Ideal candidates have 2+ years in LLM harness development, strong CS fundamentals, and experience with healthcare data pipelines. You will work with large datasets, run experiments, monitor performance, and contribute to production