Bot Auto
Algorithm Engineer, Deep Learning & Vision (New Grad)
About this role
Bot Auto seeks a new graduate Algorithm Engineer to develop and optimize deep learning models for autonomous truck perception, mapping, and planning. You'll work on state-of-the-art vision and end-to-end architectures while collaborating across simulation and control teams in a fast-growing startup environment.
What you'll do
- Develop, train, and optimize deep learning models for autonomous driving perception and planning tasks
- Execute full ML workflow including data curation, analysis, experimentation, and hyperparameter tuning
- Collaborate with simulation, infrastructure, and planning teams to integrate models into production pipelines
- Monitor latest research in computer vision and generative AI; benchmark SOTA methods on real-world problems
- Verify model performance metrics and conduct rigorous evaluation of vision components
- Participate in end-to-end architecture design spanning perception, mapping, and planning
What they're looking for
- Python programming
- PyTorch or similar deep learning frameworks
- Neural network training and optimization
- Computer vision (2D/3D preferred)
- Machine learning fundamentals and modern architectures (Transformers, CNNs, Graphs)
- Software engineering practices and algorithms
- Problem-solving and analytical thinking
- Collaborative teamwork in fast-paced environments
Benefits
- Dedicated senior-level mentor focused on design, judgment, and problem-framing
- Fast promotion pathway when delivering above-level work
- Opportunity to work on cutting-edge autonomous driving technology
- Startup agility combined with experienced team leadership
- Work in Houston, TX or San Francisco Bay Area
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Bot Auto
Bot Auto builds autonomous truck technology, developing the mechanical systems, deep learning models, and operational software that power self-driving commercial freight vehicles. The company is hiring mechanical engineers, machine learning engineers, software engineers, and interns to work across hardware design, perception and control systems, ML infrastructure, and fleet management platforms.
View all jobs at Bot AutoLikely interview questions
- Walk us through a neural network you trained from scratch—what was your biggest challenge and how did you debug it?
- How would you approach building an end-to-end deep learning model for autonomous driving perception?