Student Worker - Machine Learning Engineer - Data Mining & VLM
Supports autonomous-vehicle road-rule compliance by building data miners and evaluating LLM/VLM triage pipelines across simulation and fleet data. Requires strong Python, PySpark, and SQL skills, multimodal model evaluation experience, and current enrollment in a relevant bachelor's or master's program.
About the job
Responsibilities
- Develop and iterate data miners that locate potential Rules of the Road violations while following SSO requirements.
- Develop and iterate VLM/LLM workflows and pipelines for classifying Rules of the Road events.
- Extend triagers from simulation data to fleet and service data.
- Curate golden datasets and evaluate triager precision and recall against human triage.
- Analyze error cases and translate findings into pipeline improvements.
Requirements
- Currently enrolled in a B.S. or M.S. program in a relevant discipline.
- Strong Python, PySpark, and SQL skills.
- Coursework in machine learning, computer vision, or natural language processing.
- Understanding of supervised learning, model evaluation, dataset bias, and label noise.
- Hands-on experience building production LLM/VLM applications, including agentic workflows, retrieval-augmented generation, tool calling, evaluation, or fine-tuning.
- Experience evaluating multimodal or vision-language models.
- Familiarity with Git, unit testing, debugging, and code reviews.
- Experience with prompt optimization, model fine-tuning, or human-in-the-loop machine learning systems.
- Available to commit to a minimum three-month assignment and at least 40 hours per week.
- Able to work on-site at one of the company's office locations.
Nice-to-Haves
- Strong Scala skills.
- Experience with Spark optimization and distributed data-processing systems.
- Experience with autonomous vehicles, robotics, mapping, or transportation-related datasets.
Compensation and Benefits
- Part-time student worker program.
- Minimum three-month assignment.
- Minimum commitment of 40 hours per week.
Skills
Python, Pyspark, SQL, Machine Learning, Computer Vision, Natural Language Processing, Llm Applications, Vlm Applications, RAG, Tool Calling, Model Evaluation, Fine-Tuning, Git, Scala, Spark
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