Senior Machine Learning Engineer, Analytics & Data Engineering

What you'll do

• Research and develop state-of-the-art AI/ML solutions and tools for training, deploying, and monitoring models.
• Design secure and private systems that protect user privacy at a massive global scale.
• Build high-performance infrastructure including services, pipelines, and deployment tooling using frameworks like Ray or Kubernetes.
• Develop large-scale distributed data processing systems using technologies such as Spark.
• Conduct rigorous code reviews and design reviews to ensure system maintainability and resilience.
• Implement robust test automation to uphold high engineering standards for AI/ML systems.
• Lead technical initiatives from concept to production while mentoring junior engineers.

What we're looking for

• PhD or Master's degree in Machine Learning, Computer Science, Computer Engineering, or equivalent practical experience.
• 5 to 7+ years of professional software engineering experience with a focus on AI/ML engineering.
• Expert proficiency in Python and/or Java/Scala.
• Deep understanding of computer science fundamentals including data structures, algorithms, and system design.
• Solid understanding of traditional machine learning algorithms and cutting-edge generative AI technologies.
• Hands-on experience with modern AI/ML frameworks such as PyTorch, TensorFlow, or JAX.
• Proven experience with large-scale distributed data processing technologies like Ray or Spark.
• Experience developing and maintaining large-scale ML infrastructure including pipelines and deployment tooling.