Is the Senior ML Engineer role remote?

Yes — Truemed lists this as a fully remote position.

What's the salary range?

Truemed lists $205,000–$250,000 for this role.

How much experience is required?

At least 5 years of relevant experience for this Senior ML Engineer role.

What's the tech stack?

Joblaze extracted these technologies from the posting: AI/ML, LLMs, ML, Python.

What seniority level is this role?

Truemed targets senior candidates for this position.

Is this full-time or contract?

Full-time for this Senior ML Engineer role at Truemed.

Senior ML Engineer at Truemed

Joblaze summary

In the role of Senior ML Engineer at Truemed, the individual will focus on enhancing product classification accuracy through rigorous experimentation and model development. Key skills include hands-on experience with machine learning models, particularly in areas like prompting and fine-tuning, as well as a strong foundation in Python for production deployment. This position is ideal for someone with over five years of experience in applied research or engineering, particularly those who thrive in ambiguous environments and have a proven track record of driving ML projects from concept to implementation.

Joblaze insights

Listed today — first seen on Joblaze October 21, 2026. Last confirmed on Truemed's careers page October 21, 2026.
Salary band is in line with the typical range for AI/ML roles (median ~$190,000).
Starts above 70% of 258 comparable senior ai/ml roles that list Python we track (median $182,000 across 81 companies). See Python salary trends
Python appears in 45.2% of 1074 comparable senior ai/ml roles; ML appears in 1.2% of 1074 comparable senior ai/ml roles.

Quick facts

Is the Senior ML Engineer role remote?: Yes — Truemed lists this as a fully remote position.
What's the salary range?: Truemed lists $205,000–$250,000 for this role.
How much experience is required?: At least 5 years of relevant experience for this Senior ML Engineer role.
What's the tech stack?: Joblaze extracted these technologies from the posting: AI/ML, LLMs, ML, Python.
What seniority level is this role?: Truemed targets senior candidates for this position.
Is this full-time or contract?: Full-time for this Senior ML Engineer role at Truemed.

From the original posting

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