Jobs Board
Machine Learning Perception Software Engineer
Jobs Board, Sunnyvale, California, United States, 94087
Machine Learning Perception Software Engineer
Sunnyvale, CA
About Applied Intuition Applied Intuition is a vehicle software supplier that accelerates the adoption of safe and intelligent machines worldwide. Founded in 2017, Applied Intuition provides a simulation and validation platform for various industries such as automotive, trucking, construction, and more. 18 of the top 20 global automakers rely on Applied Intuition’s solutions to shorten development cycles, deliver high-quality systems, and accelerate the production of modern vehicles with confidence. Applied Intuition is headquartered in Mountain View, CA, with offices in Ann Arbor, MI, Washington, DC, Munich, Stockholm, Seoul, and Tokyo.
Please note that we are an in‑office company; the expectation is that you would come to your Applied Intuition office 5 days a week.
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
Qualifications
Must have a Bachelor’s Degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field
At least 18 months of experience as a Machine Learning Engineer or an Autonomy Engineer in 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 $149,365 – $232,925 USD per year.
Please apply on this page:
AppliedJob40
#LI-DNP
Equal Opportunity Employer 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 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.
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About Applied Intuition Applied Intuition is a vehicle software supplier that accelerates the adoption of safe and intelligent machines worldwide. Founded in 2017, Applied Intuition provides a simulation and validation platform for various industries such as automotive, trucking, construction, and more. 18 of the top 20 global automakers rely on Applied Intuition’s solutions to shorten development cycles, deliver high-quality systems, and accelerate the production of modern vehicles with confidence. Applied Intuition is headquartered in Mountain View, CA, with offices in Ann Arbor, MI, Washington, DC, Munich, Stockholm, Seoul, and Tokyo.
Please note that we are an in‑office company; the expectation is that you would come to your Applied Intuition office 5 days a week.
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
Qualifications
Must have a Bachelor’s Degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field
At least 18 months of experience as a Machine Learning Engineer or an Autonomy Engineer in 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 $149,365 – $232,925 USD per year.
Please apply on this page:
AppliedJob40
#LI-DNP
Equal Opportunity Employer 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 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.
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