Machine Learning Engineer

Vehicle software supplier accelerating the adoption of safe and intelligent machines worldwide, trusted by 18 of top 20 global automakers.
San Diego, CA, USAMountain View, CA, USAFort Walton Beach, FL, USA
$125,000 - $222,000
Machine Learning
Mid-Level Software Engineer
In-Person
501 - 1,000 Employees
2+ years of experience
AI · Automotive

Description For Machine Learning Engineer

Applied Intuition is a leading vehicle software supplier that's revolutionizing the automotive industry through AI-powered solutions. As a Machine Learning Engineer, you'll join a world-class team developing cutting-edge capabilities that transform vehicle interaction. The role offers an opportunity to work with 18 of the top 20 global automakers, implementing and productionizing advanced research across core product pillars.

You'll be part of a dynamic environment where engineers take ownership of technical and product decisions, working directly with users to gather feedback and improve solutions. The position requires expertise in machine learning techniques, including NLP, computer vision, and multi-modal models, with the opportunity to develop new systems for autonomy development workflows.

The company offers a competitive compensation package, including a base salary range of $125,000-$222,000, equity options, and comprehensive benefits. Working from one of Applied Intuition's U.S. offices, you'll contribute to a mission-driven team that's shaping the future of autonomous vehicles and intelligent machines.

This role is perfect for someone who combines technical expertise with a passion for practical implementation, offering the chance to work on revolutionary technology while solving real-world challenges in vehicle automation. The company's presence across major tech hubs and its work with leading automakers provides an excellent platform for professional growth and impact in the autonomous vehicle industry.

Last updated 2 days ago

Responsibilities For Machine Learning Engineer

  • Leverage the latest advancements in machine learning to develop new systems for autonomy development workflows
  • Work across entire stack to develop new products, features, and tools for end users
  • Work closely with customers to identify additional areas where AI/ML techniques can provide significant value

Requirements For Machine Learning Engineer

  • Bachelor's degree in computer science, physics, robotics, or related fields from a top institution
  • 2+ years of experience working with ML techniques including NLP, computer vision, reconstruction algorithms, image generation, or multi-modal models

Benefits For Machine Learning Engineer

401k
Dental Insurance
Medical Insurance
Vision Insurance
Equity
  • Equity (stock options and/or restricted stock units)
  • Comprehensive health insurance
  • Dental insurance
  • Vision insurance
  • Life and disability insurance
  • 401k retirement benefits with employer match
  • Learning and wellness stipends
  • Paid time off

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