Slai (W22)
The Machine Learning Development Sandbox

Software Engineer

Cambridge, MA / Remote
Full-time
3+ years
About Slai

Slai is reimagining the future of data science. Today we're building a platform to quickly discover, deploy, and share machine learning models. We envision a future in which software engineers have access to cutting-edge machine learning models without having to work with complex Jupyter notebooks or manage infrastructure.

About the role

Skills: Python, Docker, Amazon Web Services (AWS)

ABOUT SLAI

Slai is reimagining the future of data science. Today we're building a platform to quickly discover, deploy, and share machine learning models. We envision a future in which software engineers have access to cutting-edge machine learning models without having to work with complex Jupyter notebooks or manage infrastructure.

JOB SUMMARY

We are seeking a Senior Backend Engineer to join our team. You'll join a small team of exceptional people, backed by the world's best angels and institutional investors.

You'll help us scale our model serving platform to serve thousands of requests per second, build integrations for new machine learning frameworks, and spend time building ML models using our platform.

WHAT YOU'LL WORK ON

We're solving some of the most interesting problems at the intersection of distributed systems and machine learning. Your work will seek to address the following questions:

  • How do we run multiple model deployments on a single GPU?
  • How do we rapidly create and interact with virtual environments located on a remote server?
  • How do we build our SDK to wrap the most popular ML libraries in a single interface?
  • How do we elastically scale our instances to serve 0-20,000 RPS on a deployed ML model?

ABOUT YOU

  • Experience building and maintaining distributed systems
  • Familiarity with Python, AWS, Redis, and Docker
  • Passionate about delivering a best-in-class developer experience to our users
  • Excited to help set product direction and contribute to major decisions as the company grows

BENEFITS

  • Collaborative environment designed for personal & professional development
  • Work remotely
  • Competitive salary + equity
  • Health, dental, and vision benefits
  • Home office stipend
  • Unlimited PTO

Technology

We're solving some of the most interesting problems at the intersection of distributed systems and machine learning. Your work will seek to address the following questions:

  • How do we run multiple model deployments on a single GPU?
  • How do we rapidly create and interact with virtual environments located on a remote server?
  • How do we build our SDK to wrap the most popular ML libraries in a single interface?
  • How do we elastically scale our instances to serve 0-20,000 RPS on a deployed ML model?

Our stack is Python/Django, React/Typescript, Postgres, Redis, Docker, running on AWS.

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