Associate Machine Learning Engineer
About The Position
As an Associate ML Engineer/ Agentic AI, you will be part of a high-performing team of AI and engineering professionals reporting directly to the Director of AI Engineering (or equivalent leader). In this role, you will help build the next generation of Agentic AI, AI systems that can plan, act, and deliver outcomes, not just respond to prompts. You will contribute to AI agents deployed in real production environments, gaining hands-on experience with generative AI, automation, and decision-driven systems. This role offers strong mentorship, meaningful project ownership, and clear growth opportunities within a fast-evolving AI practice. This position will be located at one of our offices in San Diego, CA.
Requirements
- Demonstrate a strong growth mindset and eagerness to learn emerging AI technologies
- Approach complex problems with analytical thinking and structured problem-solving
- Take ownership of your work and actively seek feedback to improve
- Collaborate effectively in a team environment and communicate ideas clearly
- Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related technical field
- 0–3 years of programming experience in Python (including academic projects, internships, research, or personal projects)
- Foundational understanding of data structures, algorithms, and software development principles
- Demonstrated interest in artificial intelligence, automation, and applied machine learning
Nice To Haves
- Exposure to generative AI or large language models through coursework, projects, research, or internships
- Experience working with APIs, Jupyter notebooks, or workflow automation tools
- Familiarity with ML frameworks or libraries (e.g., PyTorch, TensorFlow, scikit-learn, LangChain, or similar)
- Internship or research experience in data engineering, machine learning, or software engineering
- Healthcare and/or revenue cycle management (RCM) exposure through coursework, research, internships, or demonstrated interest
Responsibilities
- Contribute to the development and improvement of AI agents that execute multi-step workflows and business processes
- Work with large language models (LLMs), APIs, and internal platforms to automate real-world healthcare and revenue cycle operations
- Support agent behavior design, including planning logic, decision-making frameworks, validation layers, and guardrails
- Test, monitor, and improve agent outputs, performance metrics, and system reliability in production environments
- Collaborate closely with engineering, product, data, and business stakeholders to translate requirements into intelligent automation solutions
- Assist in experimentation, prompt engineering, model evaluation, and iterative performance tuning
Benefits
- Comprehensive health benefits including medical, dental, vision, and telehealth
- 401(k) with company match and personalized financial coaching to support your financial future
- Health Savings Account (HSA) with company contributions
- Wellness incentives that reward your preventative healthcare activities
- Tuition assistance to support your education and growth
- Flexible time off and company-paid holidays
- Social and fun events to build community at our locations!
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
