Autonomous Driving – Internship in Machine Learning
Bosch Group · Sunnyvale, CA
$34–$68/hrfrom the description
Jul 23, 2026
Sunnyvale, CA
Jul 25, 2026
What this job asks for AI summary
An internship focused on building and deploying an AI-powered robotics test system for autonomous driving research. Day-to-day work spans designing and implementing test framework components, integrating machine learning features for test management, and handling data pipelines, model training, and validation. Best suited to a student with solid hands-on ML experience in Python and PyTorch who is comfortable working across the full model development lifecycle.
Junior level · Bachelor's required · Internship
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). This posting is about at that midpoint.
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 beyond 'U.S.' — no CBSA could be determined. The salary range is given in hourly terms consistent with an internship.
The role blends ML/data science work (model training, fine-tuning, data pipelines, evaluation) with software/robotics framework development, making it a genuine hybrid between 15-2051 Data Scientists and 15-1252 Software Developers; 15-2051 was chosen as primary given the explicit ML lifecycle emphasis.
Transformers, CNNs, LSTMs, and RAG are listed in the required qualifications section under 'state-of-the-art model architectures' — captured as separate required skills reflecting distinct architectural families.
Databricks is mentioned with 'e.g.' as an example of a metadata management system, and Azure ML is framed as 'experience with … like Azure ML' — both appear in the required qualifications block but with substitution-qualifier language; marked as preferred to reflect the open-ended framing.
MCP servers appear in the required qualifications block alongside 'modern API frameworks' but with no further specificity; captured as preferred given the vague framing.
Robot Framework (open-source) and Azure DevOps (referenced via 'ADO') appear under the 'Bonus points' section and are marked preferred accordingly.
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
The employer publishes the full description on their own site — read it there ↗. Or sign in to read it here — it's free, and it also lets you track this application.