Senior Applied AI Engineer
Omada Health · Remote, USA · US
Posted 60+ days ago
Health Tech
Remote
Not yet analysed
Demand85
Career growth90
Healthcare fit35
Remote potential95
5-year outlook
Senior AI engineers in health tech typically command strong salaries, with growth driven by AI adoption in healthcare. Expect competitive compensation with equity, but exact figures depend on location and experience.
Clinical license
Not required
Applicant reach
broad
Seniority
senior
Employment type
–
Date found
2026-08-26
Intelligence details
Why this is worth applying to
Clinicians with deep AI/ML engineering experience should consider this role to leverage clinical insights in a high-impact digital health setting. However, it requires 5+ years of technical AI deployment experience, so it's not suitable for most clinicians without that background.
Who should apply
Clinicians with a strong background in AI/ML engineering, data science, or software development, especially those with experience in generative AI and cloud platforms. Also healthcare graduates with advanced technical degrees.
CV angle
Highlight any clinical domain expertise as a differentiator for understanding patient behavior and healthcare workflows. Emphasize AI/ML project experience, especially with LLMs, and quantify business impact. Frame clinical experience as domain knowledge that improves model relevance and adoption.
Skills to highlight
- Generative AI
- LLM fine-tuning
- Prompt engineering
- AWS SageMaker
- PyTorch
- Hugging Face
- Cloud ML platforms
- Agile development
Role summary
A senior engineering role at Omada Health focused on designing, deploying, and monitoring AI models, particularly LLMs, to improve digital chronic disease care. Requires deep technical expertise and collaboration with product and business teams.
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