Machine Learning Engineer - Perception Computer Vision
HireArt
Software Engineering, Data Science
Foster City, CA, USA
USD 106.5-106.5 / hour
Posted on Feb 15, 2026
Apply to An Autonomous Mobility Company
Machine Learning Engineer - Perception Computer Vision
An Autonomous Mobility Company
Full time
Location
Foster City, CA, United States
Work environment
In-person
Expected pay amount
106.50 USD Per Hour
Schedule
40 hours per week, hybrid (requires at least 3 days on-site)
Assignment length
Contract
Job description
HireArt is helping our client find Machine Learning Engineers, Perception Computer Vision, to develop advanced computer vision systems that enhance in-vehicle perception, directly impacting safety and fleet efficiency across the company’s robotic platform.
In this role, you’ll contribute across the full machine learning lifecycle, from data collection and dataset development to model design, training, deployment, and validation, working closely with large-scale real-world sensor data.
The ideal candidate is technically strong in modern computer vision, comfortable working with large datasets, and motivated by building safety-critical perception systems.
As a Machine Learning Engineer - Perception Computer Vision, you'll:
As a Machine Learning Engineer - Perception Computer Vision, you'll:
- Design and develop in-cabin computer vision models for safety-critical perception and monitoring applications.
- Implement advanced perception model architectures and training techniques.
- Build high-quality datasets using multimodal sensor inputs and large-scale fleet data.
- Train, validate, and optimize deep learning models using real-world driving scenarios.
- Evaluate model performance and robustness to ensure reliability in production environments.
- Collaborate cross-functionally to integrate perception models into the broader autonomous system.
Requirements
- Bachelor’s degree in computer science, computer engineering, or a related field with 4+ years of relevant experience
- Strong background in modern computer vision and machine learning, including 3D reconstruction, detection, classification, and semantic segmentation
- Experience training and deploying deep learning models in production or research environments
- Proficiency in C++ and/or Python
- Strong communication skills and ability to collaborate across technical teams
Bonus Qualifications:
- Experience in the self-driving or robotics industry
- Experience deploying ML models in latency-sensitive or real-time systems
- Experience with CUDA or GPU-accelerated model development
Benefits:
- Pre-tax commuter benefits
- Employer (HireArt) Subsidized healthcare benefits (eligibility begins on the first of the month following 60 days of service)
- Flexible Spending Account for healthcare-related costs
- HireArt covers all costs for short and long-term disability and life insurance
- 401k package
Commitment: This is a full-time, ongoing contract position staffed via HireArt. It will be hybrid (requiring at least three days on-site) and available to candidates who are local to the Foster City, CA area.
HireArt values diversity and is an Equal Opportunity Employer. We are interested in every qualified candidate who is eligible to work in the United States. Unfortunately, we are not able to sponsor visas or employ corp-to-corp.
Job description
HireArt is helping our client find Machine Learning Engineers, Perception Computer Vision, to develop advanced computer vision systems that enhance in-vehicle perception, directly impacting safety and fleet efficiency across the company’s robotic platform.
In this role, you’ll contribute across the full machine learning lifecycle, from data collection and dataset development to model design, training, deployment, and validation, working closely with large-scale real-world sensor data.
The ideal candidate is technically strong in modern computer vision, comfortable working with large datasets, and motivated by building safety-critical perception systems.
As a Machine Learning Engineer - Perception Computer Vision, you'll:
As a Machine Learning Engineer - Perception Computer Vision, you'll:
- Design and develop in-cabin computer vision models for safety-critical perception and monitoring applications.
- Implement advanced perception model architectures and training techniques.
- Build high-quality datasets using multimodal sensor inputs and large-scale fleet data.
- Train, validate, and optimize deep learning models using real-world driving scenarios.
- Evaluate model performance and robustness to ensure reliability in production environments.
- Collaborate cross-functionally to integrate perception models into the broader autonomous system.
Requirements
- Bachelor’s degree in computer science, computer engineering, or a related field with 4+ years of relevant experience
- Strong background in modern computer vision and machine learning, including 3D reconstruction, detection, classification, and semantic segmentation
- Experience training and deploying deep learning models in production or research environments
- Proficiency in C++ and/or Python
- Strong communication skills and ability to collaborate across technical teams
Bonus Qualifications:
- Experience in the self-driving or robotics industry
- Experience deploying ML models in latency-sensitive or real-time systems
- Experience with CUDA or GPU-accelerated model development
Benefits:
- Pre-tax commuter benefits
- Employer (HireArt) Subsidized healthcare benefits (eligibility begins on the first of the month following 60 days of service)
- Flexible Spending Account for healthcare-related costs
- HireArt covers all costs for short and long-term disability and life insurance
- 401k package
Commitment: This is a full-time, ongoing contract position staffed via HireArt. It will be hybrid (requiring at least three days on-site) and available to candidates who are local to the Foster City, CA area.
HireArt values diversity and is an Equal Opportunity Employer. We are interested in every qualified candidate who is eligible to work in the United States. Unfortunately, we are not able to sponsor visas or employ corp-to-corp.