Job Description
A Machine Learning Software Engineer responsible for developing and implementing online mapping models and algorithms for autonomous navigation in robotics, working with real-world sensor data and collaborating across teams to enhance robot mapping capabilities.
Key Responsibilities
- Research, develop, and implement online mapping models and algorithms
- Analyze and evaluate the performance of online mapping systems to identify improvements
- Collaborate with cross-functional teams to integrate mapping models into centralized architectures
- Work with stakeholders to define online mapping needs and requirements
- Build robust ML and mapping systems using real-world sensor data such as cameras and LiDAR
Requirements
- Proven record of solving in-production ML problems and making tradeoffs between data, model and evaluation.
- Deep understanding of ML fundamentals with hands-on experience in training and evaluating modern ML models with applications in autonomous vehicles, robotics, mapping, computer vision, or related areas.
- Experience with robotics-related ML applications, including 3D geometry.
- Strong Python skills with experience in deep learning frameworks, e.g., PyTorch, TensorFlow, or Jax.
- Ability to quickly iterate and experiment to cut through the noise and make well-informed, data-driven decisions.
- Prioritize impact and practicality, and make decisions to ensure on-time delivery of solutions.
- Work cross-functionally with other ML teams to integrate models into centralized architectures.
- Collaborate with stakeholders across autonomy, infrastructure, and systems teams on online mapping needs and requirements.
Benefits & Perks
Compensation/salary range between $183,825 and $333,925 depending on experience and qualifications
Annual performance bonus
Equity
Competitive benefits package
Ready to Apply?
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