Member of Technical Staff, Machine Learning - NomadicML

OodleSan FranciscoNomadicML

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Salary

Not listed

Job type

Full-time

Posted

28 Oct 2025

Status

Open · checked 7d ago

About this role

Role Overview

The Member of Technical Staff, Machine Learning position at Frontdesk AI in San Francisco focuses on advancing the NomadicML platform by training and fine-tuning large-scale Vision-Language Models. This role suits professionals with strong expertise in Python, PyTorch, and multi-modal learning who want to build the future of video intelligence for autonomous systems and robotics.

Key Responsibilities

Train and evaluate Vision-Language Models specifically designed for motion understanding using autonomous-driving and robotics datasets.

Design and scale GPU-accelerated pipelines for training, fine-tuning, and inference across video, language, and sensor metadata.

Build agentic evaluation frameworks to benchmark spatiotemporal reasoning, localization accuracy, and narrative consistency.

Develop and productionize curation loops that leverage proprietary models to generate and refine datasets through automated AI training.

Publish high-impact research at top-tier conferences while simultaneously shipping production features for enterprise customers.

Requirements

Strong proficiency in Python, PyTorch, and large-scale machine learning workflows.

Research experience in foundation models, Vision-Language Models, or multi-modal learning, with publications or patents considered a plus.

Ability to iterate quickly and autonomously while running experiments from end to end.

Practical experience training or fine-tuning machine learning models on video or sensor data.

Solid understanding of retrieval systems, embeddings, and GPU optimization techniques.

Nice to Have

Contributions to open-source machine learning frameworks such as DeepSpeed or Hugging Face.

Experience working with vector databases, distributed training, or ML orchestration systems like Ray, Kubeflow, and MLflow.

Prior exposure to autonomous-driving or robotics datasets.

Skills and Tools

Python

PyTorch

Snowflake

Vision-Language Models

GPU Optimization

Distributed Training

About the Company

NomadicML is a department within Frontdesk AI dedicated to unlocking the vast amount of recorded driving footage to build the next frontier of machine intelligence. Founded by Harvard University computer science alumni Mustafa Bal and Varun Krishnan, the team brings together deep expertise from industry leaders such as Snowflake, Lyft, Microsoft, Amazon, and IBM Research. The organization focuses on transforming raw video footage into structured intelligence to support real-world autonomy and robotics.

How to Apply

Interested candidates should visit the official company careers page to submit their application for this position.

Skills and tech stack

Python PyTorch Snowflake

Questions candidates ask

What is the primary focus of this role?

The primary focus is training and fine-tuning large-scale Vision-Language Models to interpret and reason about complex real-world video for autonomous systems and robotics.

Where is the position located?

The job is based in San Francisco, California.

What technical skills are required?

Candidates must have strong proficiency in Python, PyTorch, large-scale ML workflows, experience with foundation models or VLMs, and an understanding of retrieval systems, embeddings, and GPU optimization.

What are some preferred or nice-to-have qualifications?

Preferred qualifications include contributions to open-source ML frameworks, experience with vector databases, distributed training, ML orchestration systems, and prior exposure to autonomous-driving or robotics datasets.

How should I apply for this job?

Candidates should apply directly on the official company careers page.

Ready to apply?

The application is on the official Oodle careers page.

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