Machine Learning Engineering Manager, Applied Intuition

$204-343k

+3 to this - '2+ years experience in leading teams with varied backgrounds'

Python
C++
Senior 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

$204-343k

+3 to this - '2+ years experience in leading teams with varied backgrounds'

Python
C++
Senior 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

  • This position is ideal for a leader with a strong background in ML development for autonomy
  • A MSc or PhD degree in computer science, robotics or related fields from a top institution
  • 4+ years industry experience in software engineering using C++ or Python
  • 2+ years experience in leading teams with varied backgrounds
  • Demonstrated experience leading teams in developing cutting-edge software products in the autonomy space
  • Proven track record of picking the right technologies to invest in, and seeing complex projects through to the finish line
  • Experience with training ML models and strong ML fundamentals
  • Applicants will be required to be fully vaccinated against COVID-19 upon commencing employment. Reasonable accommodations will be considered on a case-by-case basis for exemptions to this requirement in accordance with applicable federal and state law

Desirable

  • Strong knowledge of common sensor modalities (radar, lidar and cameras) and perception tasks in autonomy
  • Experience building scalable systems in the cloud

What the job involves

  • We are looking for an industry leader who will set the technical direction, execute with a team of machine learning and software engineers and scale a state of the art set of products focused on the development of ML systems
  • This team is focused on allowing ML developers across autonomy programs to develop performant autonomy models using simulation at scale
  • You will work directly with customers to solve real-world challenges with simulation, conduct and publish groundbreaking research, and apply the latest in machine learning and software design to our solution
  • You and your team will be the technical owners of a critical set of revenue generating products
  • Build a category-leading set of data products
  • Manage a team of talented software engineers working together to solve real world data and machine learning challenges in autonomySet the technical direction of the team and ensure your team delivers high quality software
  • Work directly with top autonomy programs on problems in applied machine learning

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

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

Founders

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.

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