MixMode - Sr. Machine Learning Engineer

• 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 • Our Interview Process: • Our interview process focuses on real-world experience building production ML models, and the ability to reason about the behaviors of realistic predictive systems. We support the use of AI tools in our development, but we want to understand your capabilities first. No AI tools will be allowed for remote interviews early in the process. The final interview will be in person and require travel (paid for by MixMode). • We are open to hiring great talent who may have qualifications above or below those specifically listed in this job description. Pursuant to California law, we must display the pay range for this job. Since we are willing to hire within a broad spectrum of qualifications, we also reflect a broad pay range.  The base hourly range that we are targeting for this position is $160,000-$220,000 though we can adjust based on individual qualifications. Individual salary is determined by qualifications, role, level, and location. • Compensation and benefits are competitive based on industry standards. Benefits for full-time team members include: