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Sr. Machine Learning EngineerMixMode • New York, New York, United States
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Sr. Machine Learning Engineer

MixMode
  • US
    New York, New York, United States
  • US
    New York, New York, United States
Jetzt Bewerben

Über

MixMode is a leading provider of AI-powered cybersecurity solutions at scale, pioneering a patented third-wave, context-aware AI approach that automatically learns and adapts to dynamic environments. The MixMode platform delivers self-supervised, real-time threat detection for known and unknown threats across cloud, hybrid, and on-premises environments. Large organizations with big data workloads – including those in enterprise, critical infrastructure, US Department of War and US Intelligence Community – trust MixMode to defend their most important assets. Backed by PSG and Entrada Ventures, MixMode is headquartered in Santa Barbara, California.
MixMode is looking for a Sr. Machine Learning Engineer to aid in building large-scale, production-grade AI systems for cybersecurity. As a Senior Machine Learning Engineer, you will design, build, and operate distributed systems that apply machine learning to petabyte-scale streaming data. This role combines machine learning with systems engineering. You will be responsible for ensuring that ML systems are reliable, scalable, and performant in production, while enabling fast, reproducible evaluation of model performance. You will work closely with researchers and engineers to bring models into production and continuously improve their behavior at scale.
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 implement them within 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)
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).
Compensation and benefits We are open to hiring great talent who may have qualifications above or below those specifically listed in this job description. The base pay range that we are targeting for this position is $160,000‑$220,000, though it can be adjusted based on individual qualifications. Individual salary is determined by qualifications, role, level, and location.
Remote-First Work Culture
Basic & Voluntary Life and AD&D
Flexible Spending Account (FSA)
401(k) with Employer Match
Paid Holidays & Flexible Paid Time Off (PTO)
Equal Employment Opportunity MixMode provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
Disability and Reasonable Accommodations | E-Verify | Right to Work
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  • New York, New York, United States

Sprachkenntnisse

  • English
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