MixMode
Sr. Machine Learning Engineer
Remote Machine Learning Engineering role with clear candidate location fit.
PostedJul 15, 2026
Eligible countries5 accepted countries
Seniority signalSenior
Work settingRemote
Accepted candidate locations
AustraliaCanadaGermanyUnited KingdomUSA
Role overview
Sr. Machine Learning Engineer
Requirements and responsibilities
Readable role content extracted into sections for faster review.
What you’ll be doing (responsibilities):
- 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
What you’ll need to bring (qualifications):
- 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)
Other things we’d love to see (nice to have):
- Experience with JVM languages (Java, Scala, or Kotlin)
- Experience with Javascript/Typescript
Details
- 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)
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