Remote Senior, ML Engineer - ML Ops Framework

Posted 6 months ago

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Description:

  • Torc is a leader in autonomous driving technology, focused on developing software for automated trucks.
  • The team is responsible for enabling ML developers to build advanced autonomous vehicle solutions at scale.
  • The role involves building, maintaining, and improving Torc ML frameworks, including cloud tooling, data ops, ML development pipeline, and logging & aggregation.
  • Tools used include Terraform, AWS Managed Services, EKS, Ray, PyArrow, Daft, Pandas, Python, PyTorch, Lightning, and visualization tools like Tableau.

Requirements:

  • A Bachelor’s degree in Computer Science, Software Engineering, or a related field with 6+ years of professional experience, or a Master’s degree with 3+ years of experience is required.
  • Experience building with Ray and a desire to promote its usage is essential.
  • Candidates should have experience with ML solutions that have reached production and be comfortable with the data science and ML lifecycle.
  • Familiarity with compute and data platforms and the ability to build scalable ML systems is necessary.
  • A commitment to building, maintaining, and improving the ML platform, along with mature software practices, is expected.
  • Ideal candidates will enjoy engaging with users to help them achieve their goals.

Benefits:

  • Torc offers a competitive compensation package that includes a bonus component and stock options.
  • Full-time employees receive 100% paid medical, dental, and vision premiums.
  • A 401K plan with a 6% employer match is provided.
  • Employees enjoy flexibility in their schedule and generous paid vacation available immediately after the start date.
  • Additional benefits include AD+D and Life Insurance.

Job type

Experience level

Required experience

6 years

Salary

$156,000—$234,000 / year

Degree requirement

Degree required

Location requirements

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