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Machine Learning Engineer

Job title Machine Learning Engineer
Contract type: Permanent
Location United States of America
Workplace type: Hybrid
Reference: 5523
Contact name: Ian Kanewski
City: San Francisco Area
Contact email:
Published: April 17, 2023 4:24

Job Description

Signify has partnered with a well funded startup that is building innovative low-code data pipeline solutions for their Fortune 500 clients.

They are looking for experienced senior or staff level Machine Learning Engineers to join a brand new, high performing team. This is a one of a kind opportunity to engage in challenging work, enhance your skillset by working with some of the most modern technologies, and learn from a talented group of engineers!

What You Will Bring:

  • At least 7 years of hands on Machine Learning Experience
  • Extensive background with Natural Language Processing, BERT, and/or sequence modeling
  • Experience with training large language models or working on text-to-sql problems
  • Experience building knowledge graphs or data modeling using graph databases
  • Have an interest in end-product design and the complete user experience
  • Proficiency in Python or Scala
  • Strong understanding of algorithms & software development
  • Desire and ability to solve challenging problems in a fast-moving startup environment
  • Bachelors degree or higher in relevant field

Highly Desired Requirements:

  • Experience with OpenAI, GPT3, Davinci, and/or Codex
  • Experience working with big data tools such as Spark
  • Experience designing compilers for programming languages suchs as SQL, Python, or Scala
  • Masters degree or higher in Computer Science or a related field
  • History working in enterprise and/or startup environments


  • Extremely competitive base salary ($250k - $300k)
  • Generous equity package
  • 100% healthcare coverage
  • Flexible PTO
  • Gym Membership


This company is based in the SF Bay Area - candidates located in this area are highly preferred as there will be some onsite time required. Open to remote candidates in the US willing to relocate or travel.