About Us

Deep learning has enormous promise, but developing practical applications powered by deep learning is extremely complex and expensive. At Determined AI, we are working to change that by building software to make machine learning engineers dramatically more productive.

We’re hiring exceptional people to help us solve hard problems, design and build our product, shape our culture and grow our company. We are looking for mature, productive, and intelligent people who share our passion for delivering value to our customers. We value diversity in opinions and background.

Join our small team of machine learning and distributed system experts, including key contributors to Spark MLlib, Apache Mesos, and PostgreSQL, PhDs from UC Berkeley and Chicago, and faculty at CMU. We value open communication, collaboration, and empathy: strong opinions, weakly held.

Our open roles are the following, and are all located in San Francisco:
All roles pay competitive salaries with full health, dental, and vision benefits and include an opportunity to earn a significant equity position.

Role: Senior Systems Engineer

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

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

Requirements

  • Strong problem solving and analytical skills
  • Excellent communication skills, both written and verbal
  • An exceptional track record of designing, implementing and shipping scalable, reliable production-quality software
  • Experience with distributed and/or concurrent software development
  • Theoretical knowledge of statistics or machine learning is not required


Preferred

  • M. Sc. or PhD in Computer Science, or equivalent industry experience
  • Experience building systems for large-scale data management, analytics, cluster scheduling, stream processing, or machine learning
  • 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 and/or deep learning
  • Familiarity with hardware performance, HPC and/or scientific computing


Role: Senior Machine Learning Engineer

As a Senior ML Engineer, you will have the opportunity (and responsibility!) to define major aspects of our product vision and guide the product roadmap. You’ll work closely with our technical customers to better understand their actual pain points when developing and deploying deep learning workflows; develop prototypes for new product functionality inspired by both customer feedback and cutting-edge deep learning research; and interact with our world-class systems engineers to translate these ML prototypes into production-quality product features.

Requirements

  • Strong problem solving and analytical skills
  • Excellent communication skills, both written and verbal
  • Track record of academic research and publication in ML or related field, OR 3+ years of industry experience delivering ML applications, especially those powered by deep learning
  • Experience using systems for large-scale data management, analytics, cluster scheduling, stream processing, or machine learning
  • Experience writing software in an industrial setting

Preferred

  • Experience collaborating with systems engineers to build machine learning systems
  • Ph.D. in Machine Learning or related field