Machine Learning Software Engineer, Applied Intuition

$65-400k

Junior and Mid level
San Francisco Bay Area

5+ days a week in office (Mountain View, CA)

Applied Intuition

Software infrastructure for autonomous vehicles

Open for applications

Applied Intuition

Software infrastructure for autonomous vehicles

201-500 employees

B2BArtificial IntelligenceTransportDeep TechAnalyticsMachine LearningSaaSAutomation

Open for applications

$65-400k

Junior and Mid level
San Francisco Bay Area

5+ days a week in office (Mountain View, CA)

201-500 employees

B2BArtificial IntelligenceTransportDeep TechAnalyticsMachine LearningSaaSAutomation

Company mission

To accelerate the world's adoption of safe and intelligent machines.

Role

Who you are

  • We are looking for a machine learning engineer with strong industry experience
  • A Bachelor's degree in computer science, physics, robotics, or related fields from a top institution
  • 2+ years of experience working with ML techniques including but not limited to NLP, computer vision, reconstruction algorithms, image generation, or multi-modal models

Desirable

  • Peer-reviewed research at machine learning conferences like NeurIPS, CVPR, ICML, ICLR, ICCV, ECCV, IROS, or ICRA
  • Experience building software for technical end users
  • A Master’s degree or PhD in computer science, physics, robotics, or related fields

What the job involves

  • Implement and productionize cutting-edge research across our core product pillars
  • You will help position Applied Intuition as the most advanced vehicle software supplier to the largest OEMs in the world
  • You will work with a team of world-class software and machine learning engineers who are developing capabilities that will revolutionize the way that people interact with vehicles
  • At Applied Intuition, we encourage engineers to take ownership of technical and product decisions, interact closely with users to collect feedback, and contribute to a thoughtful, dynamic team culture
  • Leverage the latest advancements in machine learning to develop new systems for autonomy development workflows
  • Work across our entire stack to develop new products, features, and tools for our end users
  • Work closely with customers to identify additional areas across the product suite where AI/ML techniques can provide significant value

Our take

Autonomous vehicles present a lot of challenging problems to engineers, particularly in terms of safety and reliability, and testing and development can be infamously slow. Applied Intuition provides software to run simulations and tests for autonomous vehicles more quickly and effectively, speeding up the development and launch of AVs for multiple industries.

With big companies such as Tesla and Google focused on developing automation, Applied Intuition has the scope to provide the software that makes it a reality. The company’s suite of simulation, validation, and drive log management software aids in the more efficient deployment of autonomous vehicles, with companies such as Toyota, Nissan, and General Motors relying on its solutions.

As the autonomous vehicles market accelerates, Applied Intuition is well set for growth, especially as it continues to expand its capabilities. Notable developments include the acquisitions of CarSim, Scenebox and Embark Trucks, as well as partnerships with AMBA and Valeo. All these efforts seek to bolster the company's offering towards supporting the faster and safer deployment of AVs.

Steph headshot

Steph

Company Specialist at Welcome to the Jungle

Insights

Top investors

Some candidates hear
back within 2 weeks

68% employee growth in 12 months

Company

Funding (last 2 of 5 rounds)

Mar 2024

$250m

SERIES E

Nov 2021

$175m

SERIES D

Total funding: $601.5m

Company benefits

  • Health Insurance: Applied covers 100% of the cost and offers medical, dental, vision, and life insurance
  • 401(k) Match: 50% employer matching to help you save money for retirement
  • Fitness Stipend: Our wellness program supports your health and fitness goals. We pay for your trainers, gym memberships, massages, and more!
  • Learning Stipend: We invest in your learning and growth by reimbursing you for educational and training expenses
  • Parental leave: 12-week, fully paid parental leave to bond with a newborn child or new adopted or foster child
  • Catered lunch, expensed dinner, on-site meals and snacks

Company values

  • Speed
  • Customer orientation
  • Technical mastery
  • Laugh a lot

Company HQ

Mountain View, CA

Leadership

Worked at Google for 5 years, including as a Product Manager.

Former COO at Y Combinator. Previously a Group Product Manager at Google. Founded TalkBin.

Salary benchmarks

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