Senior Machine Learning Engineer

MixMode

Senior Machine Learning Engineer designing and operating production-grade ML systems for large-scale streaming data in cybersecurity. Collaborating closely with researchers and engineers to improve model behavior at scale.

Posted 4/20/2026full-timeCalifornia • 🇺🇸 United StatesSenior💰 $160,000 - $220,000 per yearWebsite

Tech Stack

Tools & technologies

Distributed SystemsKubernetesMicroservicesPandasPythonPyTorchScikit-LearnSpark

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Pythonmachine learningPyTorchscikit-learnpandasdistributed systemsKubernetesmicroservicesstreaming systemsbig data

Soft Skills

collaborationsystem reliabilityperformance improvementobservabilityscalabilitymaintainability