Machine Learning Engineer

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 such as SQL, Python, or Scala
• Masters degree or higher in Computer Science or a related field
• History working in enterprise and/or startup environments

Benefits

• 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.