Associate Machine Learning Engineer - San Diego, CA, US

Only for registered members San Diego, CA, US, United States

3 days ago

Default job background
$90,000 - $150,000 (USD) per year *
* This salary range is an estimation made by beBee
Are you interested in harnessing technology and AI to transform healthcare? · At XiFin, we believe a healthier, more efficient healthcare system starts with strong financial and operational foundations. Our innovative technologies help diagnostic providers, laboratories, and heal ...
Job description

Are you interested in harnessing technology and AI to transform healthcare?

At XiFin, we believe a healthier, more efficient healthcare system starts with strong financial and operational foundations. Our innovative technologies help diagnostic providers, laboratories, and healthcare systems manage complexity, drive better outcomes, and stay focused on what matters most: patient care.

We're on a mission to simplify the business side of healthcare and we know that mission takes people from all backgrounds and experiences. Whether you're early in your career or bringing years of expertise, we welcome your perspective, your curiosity, and your passion. We value individuals who ask questions, challenge the status quo, and want to grow while making a real difference.

About the Role

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.

How you will make an impact:

In this role, you'll:

What will you do?   

  • 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  

What you will bring to the team:   

We're looking for someone with a growth mindset and a passion for learning. You might be a great fit if you:

  • 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

Skills and experience you have: 

You don't need to check every box. We will consider a combination of education and experience, including:

  • 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

Preferred (not required):

  • 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

Why XiFin?

We're more than just a healthcare technology company—we're a team that cares about people.
 Here's a glimpse at what we offer:

  • 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 

Pay Transparency

At XiFin, we believe in pay transparency and fairness. The expected annual salary range for this role is $70,000 to $100,000, based on your experience, skills, and geographic location.

Depending on your qualifications, you may be considered for a slightly adjusted title within the AI Engineering career framework. Final compensation will be determined during the selection process and may vary accordingly.

Accessibility & Accommodations

We're committed to providing an inclusive and accessible experience for all applicants. If you need a reasonable accommodation during the application process, please contact us at

Equal Opportunity Employer

XiFin is proud to be an equal opportunity employer. We value diverse voices and do not discriminate on the basis of race, color, religion, national origin, gender, gender identity, sexual orientation, disability, age, veteran status or any other basis protected by law.

Ready to apply?
We'd love to hear from you—even if you're not sure you meet every qualification. If you're excited about the role and believe you can contribute to our team, please apply. Let's build something meaningful together.



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