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Truemed

Truemed

via Ashby

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Senior ML Engineer

Anywhere
Full-time
Posted 10/20/2026
Direct Apply
Key Skills:
Machine learning
LLMs
Python
Prompting and fine-tuning
Retrieval and agent design
Classification and data analysis
Model evaluation and productionization

Compensation

Salary Range

$205K - 250K a year

Responsibilities

You would develop and evaluate eligibility classifiers, run experiments to improve accuracy, and collaborate with clinical and legal teams to prepare data and deploy models.

Requirements

You need 5+ years of engineering or applied research experience, including 2+ years working hands-on with ML or LLMs, strong Python skills, and experience taking ML problems from experimentation to production.

Full Description

The Role Truemed enables health and wellness merchants to accept $150+ billion in HSA/FSA funds. At the center of that is determining whether products qualify for pretax spending - a classification problem with regulatory, financial, and clinical consequences at scale. We solve this using cutting-edge ML technologies that enable us to scale the number of merchants and product categories we can support while maintaining industry-leading accuracy requirements. As a Senior ML Engineer, you will run the experiments that decide how that system improves, and ship the winners to production. What you'll do Run the experiments that move classification accuracy: form a hypothesis, test it against labeled data, and ship what wins Design and iterate on classifiers that evaluate products against eligibility rules, across prompting, retrieval, fine-tuning, and multi-model approaches Dig into misclassifications to find failure modes, and turn each one into the next experiment Build and extend the evaluation sets and metrics that tell us when a model is better, including how we label ground truth Track new models and research, and test the ones that could change our accuracy or cost curve Extend classification coverage to new product categories as Truemed expands Find new applications for our models and data beyond product classification, and prototype the ones worth pursuing Collaborate with clinical ops and legal teams to turn eligibility standards into labeled data and testable system behavior Write up results so the team makes model decisions from evidence, and help raise AI fluency across engineering What you bring 5+ years of engineering or applied research experience, with at least 2 years of hands-on work with LLMs or other ML models on real problems A track record of rigorous experiments: clear hypotheses, sound baselines, ablations, and conclusions you would defend You thrive and enjoy looking at data with your eyes for hours and consider it part of the workflow in any ML work Comfort designing evaluation methodology for AI systems - defining what "correct" means and measuring it Hands-on experience with prompting, fine-tuning, retrieval, or agent design on foundation models (OpenAI, Anthropic, open-weight models) Fluency in Python and enough engineering depth to take an experiment to production Senior-level ownership: you've taken an ambiguous ML problem from first experiment to production on your own Comfort with ambiguity - the right approach isn't always known upfront and has to be discovered through experimentation Public evidence of how you run experiments: a paper, open-source ML work, or a technical write-up of results you would defend Bonus: experience with healthcare or regulatory classification, or multi-model orchestration About Truemed Our mission is to help people take control of their health. Today, 95% of all medical costs go to treating illness. Our goal is to empower people to invest in healthy habits today rather than treating illness in the future. We do this by supporting these 5 habits that research shows are tied to significantly improved health outcomes: Eating healthy food Getting an adequate quantity and quality of sleep Increasing movement and exercise and reducing sedentary behavior Reducing chronic stress Increasing sunlight and minimizing environmental toxins Today Truemed enables patients to use pretax HSA/FSA funds to buy healthy food, exercise equipment, and supplements. We support brands like Peloton, Eight Sleep, Momentous, and hundreds of others. We're building the infrastructure that allows health and wellness merchants to accept the $150+ billion tied up in HSA and FSA accounts. By allowing consumers to spend these pre-tax dollars on goods that make them healthier, we'll incentivize consumers to invest in their health and begin to reverse the explosion in chronic illness that's plagued the US for the last 50 years. Compensation and Benefits Comp and equity in the top decile for Series A startups. This position's pay band is $205k to $250k plus stock options Comprehensive medical, dental, and vision insurance with employer-sponsored HSA contributions 401(k), unlimited PTO, remote work Coworking stipend, L&D stipend 2x/year company offsites and 2x/year team offsites

This job posting was last updated on 10/21/2026

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