EngineeringOn-site

Intern, Deep Learning Engineer

Bot Auto · On-site

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Last seen by MeritLog September 12, 2026Source: GreenhouseSource version: greenhouse-job-board-v1

MeritLog read this listing from Bot Auto's Greenhouse job board and last checked it on September 12, 2026.

Source: the employer's Greenhouse job board. Open the original listing for current details.

Job details

Work model: On-site
Salary: Not listed by source
Location: Houston, TX

Hiring context

How this role compares at Bot Auto

Bot Auto has 17 live roles in MeritLog’s catalog across 3 job families, and 14 of them are in engineering. 1 of those listings publish a pay range, a disclosure rate of 6%.

Bot Auto concentrates this hiring in:

Counted across the job boards MeritLog tracks, at the time this page was served. Pay comparisons use only listings that publish a complete range in the same currency and period.

What the role asks for

What you'd do

SOTA Prototyping: Implement and benchmark next-gen architectures (e.g., Multi-modal perception, Online Mapping, Behavior Prediction, World Model).
Project Ownership: Own a targeted research project from data analysis to model verification under senior mentorship.
Scale Experimentation: Train, tune, and optimize deep learning models using our large-scale compute clusters and truck datasets.

What they're asking for

Education: Current Master’s or Ph.D. candidate in CS, Robotics, or a related field, specifically focusing on Deep Learning, Computer Vision, Robotics, or related fields.Education
Technical Stack: Proficient in Python and PyTorch with clean coding practices.Skill
Theoretical Core: Solid understanding of modern AI architectures, especially Transformers and its applications in different fields.Skill
Commitment: Available full-time for at least 3 months.Skill
Research Focus: Academic thesis or project experience in Multi-sensor Perception, Generative AI/Diffusion, Motion Prediction, or End-to-End Autonomous Driving.SkillPreferred
Track Record: Publications or submissions at top conferences (e.g., CVPR, ICCV, NeurIPS, ICLR, ICRA).SkillPreferred
Engineering Plus: Experience with Linux, Git, C++, or deployment tools like TensorRT/ONNX.SkillPreferred

Parsed by MeritLog from the employer’s own posting. The full description follows below.

Job description

About Bot Auto Bot Auto is revolutionizing autonomous trucking by combining start-up agility with the wisdom of seasoned experts. We are looking for MS/PhD interns to join our core AI team for a 3-6 month internship to tackle real-world edge cases. Key Responsibilities • SOTA Prototyping: Implement and benchmark next-gen architectures (e.g., Multi-modal perception, Online Mapping, Behavior Prediction, World Model). • Project Ownership: Own a targeted research project from data analysis to model verification under senior mentorship. • Scale Experimentation: Train, tune, and optimize deep learning models using our large-scale compute clusters and truck datasets. Qualifications Required: • Education: Current Master’s or Ph.D. candidate in CS, Robotics, or a related field, specifically focusing on Deep Learning, Computer Vision, Robotics, or related fields. • Technical Stack: Proficient in Python and PyTorch with clean coding practices. • Theoretical Core: Solid understanding of modern AI architectures, especially Transformers and its applications in different fields. • Commitment: Available full-time for at least 3 months. Preferred: • Research Focus: Academic thesis or project experience in Multi-sensor Perception, Generative AI/Diffusion, Motion Prediction, or End-to-End Autonomous Driving. • Track Record: Publications or submissions at top conferences (e.g., CVPR, ICCV, NeurIPS, ICLR, ICRA). • Engineering Plus: Experience with Linux, Git, C++, or deployment tools like TensorRT/ONNX.

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