$195,000–$229,000
Machine Learning Engineer
First seen · open on iCIMS as of
Up to $135,000annualizedUSRemoteFull-time
Build and ship production AI agents and automation across engineering, product, delivery, and customer-facing operations, owning solutions from discovery through deployment.
Free. Upload your resume once, see why each FDE role fits, and get introduced only when you say so.
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At a glance
Posted base pay
Up to $135,000
Median $190K
Senior FDE postings1,864 postings · middle 50% of posted pay$160K–$220KThe work
Builds for teams inside the company
Balance Mostly building
Project stages
- Pre-sales (not covered)
- Proof of concept
- Implementation
- Operations
Travel Required, amount not stated
- Coding
- Writes production code
- Builds for
- Both
- Level
- Senior
- Role
- Individual contributor
What they ask for
Experience
Background
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The posting asks for 2+ years. How many do you have?
The posting reads as a senior role. What level are you at now?
The work is remote from the US. Can you work from the US?
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What you’ll do
- Build, evaluate, harden, and deploy AI agents and automation end to end.
- Integrate AI into existing software infrastructure and contribute reusable platform components.
- Partner with cross-functional and non-technical stakeholders to identify problems and deliver measurable solutions.
- Optimize AI systems for accuracy, latency, cost, and safety, including human-in-the-loop guardrails.
What you’ll bring
- 2–4 years building and deploying ML or AI systems in production.
- Master's degree in a relevant field, or a bachelor's degree with relevant experience.
- Strong Python proficiency and experience with LLM APIs, agentic frameworks, prompt engineering, and traditional ML frameworks.
- Software engineering fundamentals including version control, testing, and CI/CD.
About HealthEdge
HealthEdge combines software and operational services to help health plans run claims, payment accuracy, care management, provider data, member engagement, and risk workflows.
Acquired · 5000+ people
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