Senior Machine Learning Engineer
MixMode
full-time
Posted on:
Location Type: Hybrid
Location: California • United States
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Salary
💰 $160,000 - $220,000 per year
Job Level
About the role
- Design and operate production ML systems for large-scale, streaming data
- Own system reliability, performance, and observability in production environments
- Improve the speed and reproducibility of model evaluation and iteration
- Collaborate with researchers to productionize models and integrate them into distributed systems
- Contribute to the evolution of existing ML systems and infrastructure to improve scalability, maintainability, and performance
Requirements
- Ability to travel to our office in Santa Barbara, CA, a few times per year
- 5+ years of experience with Python in production environments
- 5+ years of experience applying machine learning using libraries such as PyTorch, scikit-learn, pandas, etc.
- Experience building and operating distributed systems in production (e.g., Kubernetes, microservices, streaming systems)
- Experience improving systems for ML experimentation and evaluation
- Experience with big data or streaming technologies (e.g., Spark, Flink, or similar)
- Strong mathematical foundation (e.g., degree in Computer Science, Mathematics, Statistics, Physics, or related field)
Benefits
- Remote-First Work Culture
- Healthcare (Medical, Dental, Vision, Accident)
- Basic & Voluntary Life and AD&D
- Flexible Spending Account (FSA)
- 401(k) with Employer Match
- Paid Holidays & Flexible Paid Time Off (PTO)
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Pythonmachine learningPyTorchscikit-learnpandasdistributed systemsKubernetesmicroservicesstreaming systemsbig data
Soft Skills
collaborationsystem reliabilityperformance improvementobservabilityscalabilitymaintainability