Algorithm Engineer, Deep Learning & Vision (New Grad)

Bot; Houston (TX); On-site; USD 90,000 - 120,000; Full time

Job summary

Bot Auto is seeking an Algorithm Engineer, Deep Learning & Vision (New Grad) in Houston, TX or the San Francisco Bay Area. You will participate in developing and optimizing deep learning models for autonomous driving, covering perception, mapping, and planning.

You will work under domain experts across data curation, experimentation, and performance verification, while staying current with CV and generative AI advances and bench-testing SOTA methods for real-world corner cases.

Qualifications

• Strong foundation in machine learning and deep learning.
• Experience running end-to-end model training and evaluation.
• Familiarity with modern architectures (Transformers, CNNs, Graphs).
• Proficiency in Python and PyTorch; solid software engineering basics.

Responsibilities

• Develop, train, and optimize state-of-the-art deep learning models for autonomous driving.
• Manage full ML workflow from data curation to model evaluation and deployment.
• Collaborate with simulation, infrastructure, and control teams to integrate ML components.
• Monitor literature trends in CV and generative AI and bench-test relevant SOTA methods.

Skills

ML fundamentals

Deep learning

Transformers

CNNs

Graphs

Education

Bachelor’s, Master’s, or Ph.D. in CS/Robotics/EE/Math/Physics

Tools

Python

PyTorch

CUDA

ONNX

TensorRT

Job description

Algorithm Engineer, Deep Learning & Vision (New Grad)

Houston, TX or San Francisco Bay Area

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.

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.

Our primary office location for this role is Houston, TX. Would you be open to relocating to Houston? If Houston is not an option, would you be open to working at our San Francisco Bay Area(San Mateo) office instead? Please specify below:

Are you legally authorized to work in the US? * Select...

Do you now, or will you in the future, require immigration sponsorship for work authorization (for example, H-1B status)? * Select...

If Yes: - What type of visa sponsorship will you require? - Do you currently hold a valid U.S. visa?

As set forth in Bot Auto’s Equal Employment Opportunity policy,we do not discriminate on the basis of any protected group status under any applicable law.