ML Infra Engineer for E2E Autonomy

applied

Sunnyvale (CA)

On-site

USD 153,000 - 222,000

Full time

14 days+

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Benefits offered by this job

Equity options
Comprehensive health insurance
401k retirement benefits
Learning and wellness stipends
Paid time off

Job summary

Applied Intuition is hiring for a role focused on autonomy and vehicle intelligence, enabling research through ML tools and infrastructure management. Candidate responsibilities include scaling end-to-end training and collaborating closely with research and engineering teams.

Ideal candidates should have a strong software background, problem-solving skills, and experience with technologies like Python and Pytorch. Total compensation includes salary range of $153,000 - $222,000 with benefits. This role requires in-office attendance in Sunnyvale, California.

Qualifications

  • Exceptional software generalist experience with ambition to contribute up and down the ML stack.
  • Strong skills in software & module design, capable of managing chaos with libraries & abstractions.
  • Rapid analytical and problem-solving skills.

Responsibilities

  • Build tools and infrastructure for large-scale E2E autonomy research.
  • Work directly with AI research and engineering teams to productionize software.
  • Help scale end-to-end training by identifying bottlenecks in the system.

Skills

Software development
Machine Learning
Analytical skills
Python
Pytorch

Tools

CUDA
Bazel
Kubernetes
Spark
Flyte

Job description

Applied Intuition is hiring for a role focused on autonomy and vehicle intelligence, enabling research through ML tools and infrastructure management. Candidate responsibilities include scaling end-to-end training and collaborating closely with research and engineering teams.

Ideal candidates should have a strong software background, problem-solving skills, and experience with technologies like Python and Pytorch. Total compensation includes salary range of $153,000 - $222,000 with benefits. This role requires in-office attendance in Sunnyvale, California.

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