This role involves leading a perception team in developing algorithms for autonomous driving systems, supervising team members, and conducting research to enhance perception capabilities.
Job duties: Provide daily technical and execution guidance on research and development tasks
to perception team members. Specifically,
• Research, design, and develop algorithms for autonomous driving systems to solve
challenging problems in ISEE's Perception and Sensor stack.
• Prototype and deploy robust perception algorithms on ISEE's vehicle fleet in areas of:
Object Detection, Localization and Mapping, Fusion and Multi Object Tracking;
• Develop systems for multimodal Sensor Fusion and Calibration using multiple grade
sensors including but not limited to Cameras, LiDARs, GNSS, IMUs and RaDARs.
• Invent and design new algorithms, tools, and models in emerging research areas to
improve the complex autonomous vehicle systems;
• Develop simulations for ISEE's systems and identify discrepancies between virtual and
real-world performance for future development and analysis.
• Contribute novel research ideas and collaborate with team members to conduct research
data analysis. Lead the algorithm design discussions to solve technical problems for these
systems;
• Stay up to date with current research in the field of Computer Vision and Pattern
Recognition and share relevant research with the team.
• Manage and supervise the work of other perception team members.
• Contribute in the recruiting process for perception and software candidates.
Job requirements:
- Master’s degree in Electrical Engineering, Computer Engineering, Electrical and
Computer Engineering or Computer Vision plus 18-month working experience.
- 18-month working experience must in Machine learning and Sensor Calibration through
algorithm development.
Top Skills
Cameras
Computer Vision
Gnss
Imu
Lidar
Localization
Machine Learning
Mapping
Multi Object Tracking
Object Detection
Radar
Sensor Calibration
Sensor Fusion
Similar Jobs
Artificial Intelligence • Automotive • Machine Learning • Transportation
As a Senior Machine Learning Engineer on the Perception Team, you will define technology direction, architect solutions for autonomous vehicles, collaborate with team members, and mentor junior engineers, contributing to high-stakes projects in autonomous driving.
Top Skills:
C++CudaDeep LearningMachine LearningPythonPyTorch
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The role involves developing 3D models for autonomous driving, integrating perception and mapping technologies, and enhancing vehicle understanding of environments.
Top Skills:
3D GeometryComputer VisionEmbedded SystemsSensor CalibrationState Estimation Algorithms
Artificial Intelligence • Automotive • Robotics • Software • Transportation
Design and deploy object detection and tracking modules; develop ML algorithms; guide team members; improve data governance and quality assessment.
Top Skills:
3.JsAWSCi SystemsDockerMlflowOpenglPandasParquetPythonPyTorchWeights And Biases
What you need to know about the Seattle Tech Scene
Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
