Algorithm Engineer, Deep Learning & Vision (New Grad)

Bot-Auto; Boston (MA); On-site; USD 85,000 - 120,000; Full time

Job summary

Bot Auto is seeking an Algorithm Engineer for Deep Learning & Vision (New Grad) in Houston, TX. You will contribute to end-to-end model development for autonomous driving, including perception, online mapping, and end-to-end planning. A strong ML/DL foundation and Python/PyTorch are essential.

You will grow through mentorship, fast-track promotion, and hands-on work in a startup environment focused on cutting-edge robotics and computer vision.

Qualifications

• Bachelor's, Master's, or PhD in CS, Robotics, EE, applied math or related field.
• Trained neural networks with hands-on model development and debugging.
• Strong ML/DL foundations and modern architectures (Transformers/CNNs/Graphs).
• Proficient in Python and ML frameworks; solid software engineering fundamentals.
• Self-motivated, analytical, fast-learner, and collaborative team player.

Responsibilities

• Model Implementation & Iteration: develop, train, and optimize DL models for autonomous driving, including perception and planning.
• Full Lifecycle Execution: data curation, experiments, tuning, and metric verification.
• Cross-Functional Collaboration: work with simulation, infrastructure, and planning teams to deploy ML components.
• Literature Tracking:Stay updated on CV/vision research; bench-test SOTA methods.

Skills

Neural networks

Transformers

CNNs

Graphs

Python programming

Clean coding

Education

Bachelor's / Master's / PhD in CS or related quantitative field

Tools

PyTorch

CUDA

TensorRT

ONNX

C++

Job description

Algorithm Engineer, Deep Learning & Vision (New Grad)

Houston, TX

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.

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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.

A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service-connected disability.

A 'recently separated veteran' means any veteran during the three-year period beginning on the date of such veteran's discharge or release from active duty in the U.S. military, ground, naval, or air service.

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An 'Armed forces service medal veteran' means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985.