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Principal Machine Learning Engineer- Perception
Job Description
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
Abby Hubbard
I joined Protingent in the Spring of 2021 as a sales intern, transitioning to a full-time Technical Recruiter after graduating from the University of Washington in June 2021. Initially, I focused on supporting our spaceflight clients, later expanding to industries such as sustainable energy and nuclear power. While I’ve broadened my recruiting scope, I’m still partial to aerospace engineering, especially anything related to propulsion technology.
My recruiting style focuses on individual candidate needs and relationship building. My philosophy is to lead with empathy and integrity. My favorite thing about recruiting is the opportunity to learn something new every day by talking to the most intelligent people/engineers, as well as the potential to impact critical industries at the staffing level.
When I’m not recruiting, I love spending time outdoors – hiking, camping, roller skating, reading in parks, and swimming in Lake Union (when the Seattle weather permits). I also enjoy thrift shops, sewing/up-cycling clothes, and shooting 35mm film.