Intern, Deep Learning Engineer at Bot Auto
Houston, TX
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Jul 2, 2026
Houston, TX
Jul 21, 2026
What this job asks for AI summary
A 3–6 month full-time internship on an autonomous trucking AI team, focused on prototyping and benchmarking deep learning architectures across areas such as multi-modal perception, online mapping, behavior prediction, and world models. The intern will own a targeted research project end-to-end — from data analysis through model verification — training and tuning models on large-scale compute clusters using real truck datasets. Best suited to current MS or PhD candidates with a strong foundation in modern AI architectures.
Junior level · National · Master's required · Internship
“or” means any one of them counts — you don't need all of them.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Rare in this occupation — lead with these, and say what you built with them.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $122,874 (middle half $87,544–$162,374).
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (7)
Location is not specified in the posting; CBSA and state fields are left blank. The company (Bot Auto) appears to be US-based but no city or state is mentioned.
The role is explicitly an internship (3–6 months, full-time) targeting current MS or PhD candidates — classified as Junior seniority accordingly.
Degree requirement is set to Masters as the minimum: the posting requires enrollment in a Master's or PhD program. Because equivalent experience is not offered as a substitute, this is treated as a hard gate.
The SOC is a judgment call: the role is primarily AI/deep learning research (model prototyping, benchmarking architectures, training/tuning) which maps best to Data Scientists (15-2051), but the emphasis on clean coding, PyTorch implementation, and deployment tools also has a Software Developers (15-1252) dimension.
Research focus areas (Multi-sensor Perception, Generative AI/Diffusion, Motion Prediction, End-to-End Autonomous Driving) and publication track record (CVPR, ICCV, NeurIPS, ICLR, ICRA) are listed under Preferred and are not emitted as named tool/technology skills.
TensorRT and ONNX are listed together as deployment tool examples under the preferred 'Engineering Plus' bullet; TensorRT is the primary skill with ONNX as an alternative.
Posting is for a internship engagement — the market benchmarks below price full-time roles, so read the comp comparison with that in mind.
Read the full posting
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