Protingent
Principal Machine Learning Engineer- Perception
Salary
-
Job type
Full-time
Location
Burlingame, California, US
Remote
No
Posted
1 week ago
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Job Description
Position Title: Principal Machine Learning Engineer- Perception
Position Description: Protingent Staffing has an exciting remote (sitting anywhere in the US) Principal Machine Learning Engineer, Direct Hire opportunity.
Job Responsibilities
- Lead the development and implementation of advanced perception algorithms for object detection, tracking, classification, and segmentation using camera, lidar, and radar data
- Connect and drive business impact through technology solutions
- Design and implement sensor fusion algorithms to combine data from multiple sensors to create a robust and accurate perception system
- Optimize perception algorithms for real-time performance on embedded hardware
- Collaborate with other engineers and teams to integrate perception systems into larger autonomous systems
- Stay abreast of the latest research and advancements in machine learning and computer vision and apply them to real-world problems
- Productionize and deploy solutions onto autonomous vehicle fleets
- Derive good insight from large data sets from a variety of sources
- Mentor and guide junior engineers on the team
Job Qualifications
- Masters or Ph.D. in Machine Learning, Computer Science, Robotics, Applied Mathematics, Statistics, Physics or a related field; or equivalent industry experience
- Strong leadership skills at executing large, complex technical initiatives
- In-depth understanding of common Machine Learning and Deep Learning algorithms
- Experience with designing, training, and analyzing neural networks for at least one of the following applications: object detection, semantic/instance segmentation, visual classification, motion/gesture recognition, sensor fusion, multitask learning, multi-object tracking, and/or end-to-end perception
- Experience with deep learning frameworks such as TensorFlow or PyTorch
- Fluency in Python, including standard scientific computing libraries and Python bindings development experience
- Proven track record of developing and deploying perception systems for autonomous vehicles or robotics
- Advanced knowledge of software engineering principles including software design, source control management, build processes, code reviews, testing methods
- Excellent communication and interpersonal skills
- Experience mentoring and leading others
Preferred Qualifications
- Experience with embedded systems and real-time optimization, especially in the autonomous driving industry
- Experience with launching ML products from ideation
- Proven track record of publications in relevant conferences (CVPR, ICML, NeurIPS, ICCV, ICL, etc.)
- Experience in deploying models into real-world environments
- Strong programming skills in C++ and/or CUDA programming
Job Details
- Direct Hire
- Location: Remote
- Pay Rate Range: $199,000-$266,500/year
About Protingent: Protingent is an Award-Winning provider of top-tier Engineering and IT talent, trusted by companies at the forefront of innovation - from Software and Aerospace to AI, Clean Tech, Medical Devices, and Connected Technologies. We're passionate about making a positive impact by connecting exceptional talent with meaningful opportunities and helping our clients build the future.
Meet Your Recruiter
Nikhil Jhamb
Responsibilities
- Lead the development and implementation of advanced perception algorithms for object detection, tracking, classification, and segmentation using camera, lidar, and radar data
- Connect and drive business impact through technology solutions
- Design and implement sensor fusion algorithms to combine data from multiple sensors to create a robust and accurate perception system
- Optimize perception algorithms for real-time performance on embedded hardware
- Collaborate with other engineers and teams to integrate perception systems into larger autonomous systems
- Stay abreast of the latest research and advancements in machine learning and computer vision and apply them to real-world problems
- Productionize and deploy solutions onto autonomous vehicle fleets
- Derive good insight from large data sets from a variety of sources
- Mentor and guide junior engineers on the team
Qualifications
- Masters or Ph.D. in Machine Learning, Computer Science, Robotics, Applied Mathematics, Statistics, Physics or a related field; or equivalent industry experience
- Strong leadership skills at executing large, complex technical initiatives
- In-depth understanding of common Machine Learning and Deep Learning algorithms
- Experience with designing, training, and analyzing neural networks for at least one of the following applications: object detection, semantic/instance segmentation, visual classification, motion/gesture recognition, sensor fusion, multitask learning, multi-object tracking, and/or end-to-end perception
- Experience with deep learning frameworks such as TensorFlow or PyTorch
- Fluency in Python, including standard scientific computing libraries and Python bindings development experience
- Proven track record of developing and deploying perception systems for autonomous vehicles or robotics
- Advanced knowledge of software engineering principles including software design, source control management, build processes, code reviews, testing methods
- Excellent communication and interpersonal skills
- Experience mentoring and leading others
Benefits
- Pay Rate Range: $199,000-$266,500/year
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