Reimagining kidney care to help patients live their best lives.
Machine Learning Engineer
Location
United States
Posted
13 days ago
Salary
Not specified
No structured requirement data.
Job Description
Job Requirements
- Bachelor’s degree in Computer Science, Data Analytics, Software/Computer Engineering, Computational Statistics, Mathematics, or a related discipline.
- 3+ years of end-to-end ML development in production (data prep, feature engineering, modeling, calibration, deployment, monitoring, maintenance).
- 3+ years of MLOps experience building production pipelines (CI/CD, model registry, feature store), implementing monitoring & drift detection, and automating retraining.
- 3+ years of Python for production ML (testing, packaging, type hints, linting) and SQL for analytical and production workloads; Scala a plus.
- 2+ years working with distributed compute and cloud ML environments (e.g., Spark/Databricks on Azure/AWS/GCP) and modern data ecosystems (data lakes, DBMS).
- Strong debugging and optimization skills across data and ML workflows.
- Track record of ownership and problem solving—driving measurable impact and quality under ambiguity and evolving requirements.
- Ability to communicate technical decisions clearly and contribute to documentation and design discussions.
- Demonstrated system design & architecture skills for scalable, high-performance ML services and batch/streaming workflows; familiarity with API design and service integration patterns.
- Proven understanding of tradeoffs in latency, cost, performance, and compliance.
- Preferred: 1+ years of Databricks experience + some experience in infrastructure/networking.
- Preferred: 1+ years implementing LLM-based solutions in production (prompt/response design, evaluation frameworks, guardrails/safety, latency/cost optimization).
- Preferred: 1+ years designing compliant ML platforms (e.g., HIPAA, SOC 2) and working with PHI/PII governance, access controls, and auditability.
Benefits
- Our mission is to reinvent healthcare to help patients live their best lives, and we proudly live our mission-driven values:
- We care deeply about the people we serve.
- We are better when we work together.
- Humility is a source of our strength.
- We bring joy to our work.
- We deliver on our promises.
- We are committed to diversity, equity, and inclusion throughout our recruiting practices. Everyone is welcome and included.
- We value our differences and learn from each other.
- Our team members come in all shapes, colors, and sizes.
- No matter how you identify your lifestyle, creed, or fandom, we value everyone's unique journey.
- If you think you’d be a great fit, but don’t necessarily meet every single requirement on one of our job openings, please still apply. We’d love to consider your application!
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