Plenful
Machine Learning Engineer
- Confirmed live in the last 24 hours
- No salary listed
- Mid level
- Full-time
- Remote · San Francisco, CA
- 5+ yrs exp
- Added 2 months ago
About this role
Plenful is seeking a Machine Learning Engineer to build and deploy production-grade ML systems for their AI automation platform. This engineering-focused role involves collaborating with cross-functional teams to develop intelligent services that streamline healthcare workflows and improve operational efficiency. The ideal candidate will thrive in a fast-paced startup environment, embracing challenges and delivering reliable software solutions.
What you'll do
- Design, build, and deploy machine learning models into production.
- Develop scalable ML pipelines for training, evaluation, and inference.
- Collaborate with product and engineering teams to translate customer needs into ML solutions.
- Improve model performance through experimentation and feature engineering.
- Implement monitoring and retraining strategies for model quality.
- Optimize model latency, scalability, and infrastructure costs.
What they're looking for
- Python
- Machine Learning
- MLOps
- LLMOps
- SQL
- Docker
- Kubernetes
- AWS/GCP/Azure
Benefits
- Healthcare coverage (medical, dental, vision)
- 401(k) with company match
- Equity
- Unlimited PTO
- Daily lunch stipend
- Wellness stipend
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Plenful
Likely interview questions
- Describe a time you had to debug a model in production. What was your approach?
- How do you approach feature engineering for a new machine learning project?