Algorithm Engineer, Deep Learning & Vision (New Grad)
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Skills: Deep Learning, Computer Vision, PyTorch, Python, Transformers
San Francisco, California, United States · On-site
Mid level$20M raised
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Algorithm Engineer, Deep Learning & Vision (New Grad)
Sign up with Clera and we'll reach out the moment a role actually fits you — no more spraying applications into the void.
Full-time
bachelor degree, postgraduate degree
Mentorship, Fast Promotion Path
Posted 6d ago
~40 hrs/week
Responsibilities
Develop and optimize deep learning models for autonomous driving, focusing on perception, mapping, and end-to-end planning. Collaborate across functional teams to integrate machine learning components into the production pipeline for autonomous trucks.
Requirements
Requires a degree in a quantitative field and practical experience training neural networks using Python and PyTorch. Preference is given to candidates with research publications in computer vision or experience in autonomous driving and robotics.
Full job description
Company Introduction
At Bot Auto, we are revolutionizing the transportation of goods with our cutting-edge autonomous trucks, enhancing the quality of life for communities around the globe. With the agility of a start-up and the wisdom of seasoned experts, Bot Auto boasts a team that has achieved numerous world-firsts and unparalleled innovations. United by a shared vision, we create miracles and propel the future of transportation. Join us and transform your dreams into reality.
Key Responsibilities
Model Implementation & Iteration: Participate in the development, training, and optimization of state-of-the-art deep learning models for autonomous driving, with a focus on end-to-end architectures, including perception, online mapping, and end-to-end planning.
Full Lifecycle Execution: Engage in the entire machine learning workflow under the guidance of domain experts, spanning from data curation and data analysis to model experimentation, hyperparameter tuning, and rigorous performance metric verification.
Cross-Functional Collaboration: Partner with simulation, infrastructure, and downstream planning/control teams to deploy, evaluate, and integrate machine learning components into our production pipeline for autonomous trucks.
Literature Tracking: Stay abreast of the latest research breakthroughs in computer vision and generative AI, and actively bench-test promising SOTA methods to solve real-world corner cases.
How You'll Grow
This matters as much to us as what you'll ship.
You get a real mentor. Every engineer is paired with senior-level engineers developing you. Mentorship here is weighted toward design and judgment: how to frame a problem, what to build and why, how to tell whether a solution is actually right.
We promote fast. Managers are expected to push engineers to attempt work above their current level, and to promote in the next cycle when they deliver it.
Qualifications
Required:
Education: A Bachelor's, Master's, or Ph.D. (including upcoming graduates) in Computer Science, Robotics, Electrical Engineering, Applied Mathematics, Physics, or a related quantitative field.
You have trained neural networks. Coursework, research, personal projects, open-source work, and internships all count. We care that you have actually run the loop: built a model, trained it, found out why it was not working, and fixed it.
Core Knowledge: Strong theoretical foundation in machine learning and deep learning, with a solid understanding of modern architectures (e.g., Transformers, CNNs, Graphs).
Technical Stack: Proficiency in Python and deep learning frameworks such as PyTorch, along with strong software engineering fundamentals (data structures, algorithms, and clean coding practices).
Attributes: High self-motivation, strong analytical and problem-solving skills, a fast learner in a high-velocity startup environment, and a strong team-player mindset.
Preferred:
Computer vision. Research or projects in computer vision, and particularly in 3D.
Specific Research Directions: Academic thesis or deeply focused research experience in one or more of the following domains:
Computer Vision (2D or 3D)
Online Mapping, Vectorization, or Visual SLAM
Prediction and Behavioral Modeling
Academic Achievements: A track record of research publications in machine learning, computer vision, or robotics conferences/journals (e.g., CVPR, ICCV, ECCV, NeurIPS, ICLR, ICRA, IROS).
Engineering Plus: Hands-on experience with model deployment, quantization, distillation, or inference acceleration tools (e.g., TensorRT, ONNX, CUDA, C++).
Industry Exposure: Prior internship experience within the autonomous driving industry or advanced robotics labs.
Related keywords
Deep LearningComputer VisionAutonomous DrivingPyTorchPythonTransformersCNNsGraphs3D VisionVisual SLAMOnline MappingVectorizationBehavioral ModelingCVPRICCVECCV
Bot Auto runs autonomous trucks out of Houston, Texas. We sell the capacity, not the technology.
We own the trucks, the safety case, and the operation end to end.
Our team pairs trucking operators who've run real fleets with the engineers building the technology because commercializing this industry takes both. We're not chasing a demo. We're building the freight network the industry actually needs.
Based on 169 listings with disclosed salaries, most software jobs in Houston, TX pay between $60k–$190k per year. Individual offers vary with seniority, company size, and specialization.
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