Machine Learning Perception Software Engineer

Sunnyvale, CA - USA

Monthly Salary: $ 149365 - 232925

Posted on: 6 hours ago

Vacancies: 1 Vacancy

Job Summary

About Applied Intuition

Applied Intuition is the vehicle intelligence company that accelerates the global adoption of safe AI-driven machines. Founded in 2017 and now valued at $15 billion following its recent Series F funding round Applied Intuition delivers the Vehicle OS Self-Driving System and toolchain to help customers build intelligent vehicles and shorten time to market. 18 of the top 20 global automakers and major programs across the Department of Defense trust Applied Intuitions solutions to deliver vehicle intelligence. Applied Intuition services the automotive defense trucking construction mining and agriculture industries and is headquartered in Mountain View CA with offices in Washington D.C. San Diego CA Ft. Walton Beach FL Ann Arbor MI London Stuttgart Munich Stockholm Bangalore Seoul and Tokyo. Learn more at .

We are an in-office company and our expectation is that employees primarily work from their Applied Intuition office 5 days a week. However we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work starting the day with morning meetings from home before heading to the office or leaving earlier when needed to accommodate family commitments. (Note: For EpiSci job openings fully remote work will be considered by exception.)

About the role

Develop and optimize machine learning models for object detection segmentation tracking and scene understanding
Work with sensor data to build robust perception pipelines
Analyze and curate datasets for model training validation and testing
Design scalable training and evaluation pipelines
Collaborate with cross-functional teams in autonomy systems and simulation to integrate perception modules
Perform error analysis and implement improvements in model performance and reliability
Keep up to date with the latest research in computer vision and machine learning

Were looking for someone who has:

Must have a Bachelors Degree in Computer Science Computer Engineering Electrical Engineering or similar
18 months of experience as a Machine Learning Engineer or an Autonomy Engineer for robotics at a technology company
1 year of experience using C Python CUDA and deep neural network packages (Pytorch Onnx TensorRT)

The salary range for this position is $149365 $232925 USD per year annually.

Please apply on this page meet every single requirement If youre excited about this role but your past experience doesnt align perfectly with every qualification in the job description we encourage you to apply anyway. You may be just the right candidate for this or other roles.

Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. Consequently the parties agree that as applicable they will abide by the requirements of 41 CFR 60-1.4(a) 41 CFR 60-300.5(a) and 41 CFR 60-741.5(a) and that these laws are incorporated herein by reference. These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities and prohibit discrimination against all individuals based on their race color religion sex sexual orientation gender identity or national origin. These regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race color religion sex sexual orientation gender identity national origin protected veteran status or disability. The parties also agree that as applicable they will abide by the requirements of Executive Order 13496 (29 CFR Part 471 Appendix A to Subpart A) relating to the notice of employee rights under federal labor laws.

Required Experience:

About Applied IntuitionApplied Intuition is the vehicle intelligence company that accelerates the global adoption of safe AI-driven machines. Founded in 2017 and now valued at $15 billion following its recent Series F funding round Applied Intuition delivers the Vehicle OS Self-Driving System and to...

About Applied Intuition

About the role

Develop and optimize machine learning models for object detection segmentation tracking and scene understanding
Work with sensor data to build robust perception pipelines
Analyze and curate datasets for model training validation and testing
Design scalable training and evaluation pipelines
Collaborate with cross-functional teams in autonomy systems and simulation to integrate perception modules
Perform error analysis and implement improvements in model performance and reliability
Keep up to date with the latest research in computer vision and machine learning

Were looking for someone who has:

Must have a Bachelors Degree in Computer Science Computer Engineering Electrical Engineering or similar
18 months of experience as a Machine Learning Engineer or an Autonomy Engineer for robotics at a technology company
1 year of experience using C Python CUDA and deep neural network packages (Pytorch Onnx TensorRT)

Required Experience: