Machine Learning Engineer II - 3D Perception

Location: Remote in the United States or hybrid at office locations in Ann Arbor, MI; Blacksburg, VA; or Fort Worth, TX.

Salary: $153,200–$183,800 USD annually, plus bonus and stock options.

Company

hirify.global develops software for autonomous trucks as part of the Daimler family.

What you will do

• Design, develop, evaluate, and improve machine learning models for autonomous-vehicle perception.
• Own model development and delivery from data preparation and training through evaluation and production integration.
• Write production-quality Python and PyTorch code for scalable training, evaluation, and inference workflows.
• Develop camera-based and 3D perception models using multi-modal sensor data, including LiDAR where applicable.
• Analyze model performance and failure modes, troubleshoot issues, and improve robustness, accuracy, and generalization.
• Collaborate with software, infrastructure, and autonomy engineers; lead small technical initiatives and mentor junior team members.

Requirements

• Bachelor’s degree in computer science, robotics, electrical engineering, machine learning, or a related field with 3+ years of relevant industry experience; or a master’s degree with 1+ years of relevant experience; equivalent practical experience is also accepted.
• Experience developing machine learning models for computer vision, perception, robotics, autonomous systems, or a related domain.
• Strong Python and PyTorch programming skills and experience writing maintainable, production-quality machine learning code.
• Experience training, evaluating, debugging, and improving deep learning models with large-scale datasets.
• Experience with image-based and/or 3D perception systems and deep learning architectures used for perception.
• Ability to execute complex machine learning work independently and collaborate across software systems.

Nice to have

• Experience with autonomous driving, robotics, ADAS, LiDAR, point clouds, sensor fusion, BEV representations, temporal perception, or video-based learning.
• Experience with C++, ROS, robotics software, or deploying models to production autonomy platforms.
• Experience with distributed training, large-scale perception datasets, evaluation frameworks, benchmarking, and ML tooling.
• Experience owning a production ML component or leading a small technical initiative through deployment.

Culture & Benefits

• Collaborative, energetic, and team-focused work environment.
• 100% paid medical, dental, and vision premiums for full-time employees.
• 401(k) plan with a 6% employer match.
• Flexible scheduling, generous paid vacation available immediately after starting, and company-wide holiday office closures.
• AD&D and life insurance, plus potential relocation and sign-on compensation depending on the position.