Senior Applied AI/ML Engineer

1 month ago

Remote, United States or Santa Monica, CA, USASenior / Staff+

Base Salary

$210k - $230k/yr

Responsibilities

Design, build, deploy, and optimize production AI/ML systems for healthcare products and operational workflows.
Develop LLM-powered applications using retrieval, structured generation, tool use, orchestration, and agentic workflows.
Create AI-powered systems that automate complex, multistep operational processes.
Own projects from problem definition and experimentation through development, deployment, monitoring, and ongoing optimization.
Design evaluation frameworks, benchmarks, testing methodologies, and feedback loops to improve system quality and business outcomes.
Translate complex business and operational requirements into scalable, production-ready AI solutions.
Improve prompts, retrieval strategies, model selection, system logic, and application performance through experimentation.
Contribute to AI infrastructure architecture, observability, testing, versioning, rollout safety, and operational reliability.
Build solutions using structured and unstructured healthcare data while maintaining accuracy, privacy, security, and compliance.
Help establish scalable AI-native practices and improve organizational productivity.

5–8+ years of experience building production software systems and delivering complex technical solutions.
Experience building and operating applied AI, machine learning, LLM-powered, or agentic systems in production.
Strong software engineering background with Python and backend systems supporting production-scale AI applications.
Experience designing and interpreting experiments, evaluation frameworks, benchmarks, or performance measurement systems.
Ability to translate complex operational requirements and real-world data into reliable, scalable, shipped products.
Understanding of production engineering practices including testing, monitoring, observability, system reliability, and safe rollouts.
Product-oriented judgment, comfort with ambiguity, and ability to drive initiatives from concept through deployment.
Strong communication and collaboration skills across engineering, product, data, and operations teams.
Preferred experience with AI products in healthcare, insurance, financial services, or other regulated industries.
Preferred experience with healthcare data, clinical documentation, insurance claims, explainable AI, model fine-tuning, embedding models, vector databases, retrieval systems, AI evaluation platforms, document intelligence, decision support, workflow automation, or human-in-the-loop AI systems.

Competitive compensation including equity, full health, dental, and vision coverage, a 401(k) retirement savings plan, flexible time off, and company-wide connection and events.
Primarily hires around Los Angeles and New York core hubs while remaining open to exceptional talent elsewhere; remote and hybrid flexibility varies by role and team.

1-10 employees