About this role

As a Backend Systems Engineer, you will play a fundamental role building our state-of-the-art machine learning platform. You will get the chance to tackle challenging problems at the cutting edge of machine learning research and development, and to collaborate with leading machine learning researchers and engineers.

You will have the opportunity to define major aspects of our product: you’ll be expected to take on difficult problems without clear solutions, and to design, build, and iterate until we’ve reached elegant solutions that delight our customers. You will work on problems such as efficient cluster scheduling over heterogeneous GPUs and ML accelerators, implementing cutting-edge algorithms for hyperparameter optimization, and designing systems for managing ETL pipelines and automated deployment of ML models.

Requirements

• Strong problem solving and analytical skills
• Excellent communication skills, both written and verbal
• An exceptional track record of designing, implementing, testing, and debugging scalable, reliable production-quality software
• Experience with distributed and/or concurrent software development
• NOTE: knowledge of machine learning or statistics is not required
• Minimum of 5-7 years of experience

Preferred

• Experience building systems for large-scale data management, analytics, cluster scheduling, or machine learning
• In-depth knowledge of building and deploying software on AWS, GCP, and/or Azure
• Familiarity with modern container-based cluster managers (e.g., Kubernetes, DC/OS)
• Experience doing operations and being on-call for production systems
• Interest or experience in machine learning
• Familiarity with hardware performance, HPC, and/or scientific computing
• Graduate degree (or bachelor's degree with relevant experience) in computer science or a related field

Additional Skills:

Cloud Architectures, Cross Domain Knowledge, Design Thinking, Development Fundamentals, DevOps, Distributed Computing, Microservices Fluency, Full Stack Development, Security-First Mindset, Solutions Design, Testing & Automation, User Experience (UX)