# Machine Learning Research Engineer

**Company:** [Roboflow](https://hotfix.jobs/companies/roboflow)
**Location:** Remote
**Role:** ML Engineering
**Salary:** $168k – $255k/yr
**Skills:** Python, PyTorch, Computer Vision, Machine Learning, AI, Edge Hardware Optimization, Distributed Training
**Posted:** 2026-04-22

> Develops novel machine learning methods for computer vision, leveraging user data insights to innovate, publish at top conferences, and deploy to production. Requires Masters/PhD in relevant field, publications, Python proficiency, and pragmatic research approach.

## Job Description

## What You'll Do
- Develop novel machine learning methods and contribute to the research agenda of the team.
- Identify areas for innovation using insights from Roboflow's userbase in computer vision applications.
- Create novel approaches that generalize across diverse data, run efficiently on different hardware, and solve unique problems.
- Write papers aimed at top conferences (CVPR, NeurIPS, ICLR, etc.).
- Translate research methods into production systems running at scale.

## Who You Are (Requirements)
- Masters / PhD in AI, machine learning, computer vision, robotics, or similar technical field, or equivalent industry experience.
- History of publication at conferences / journals (CVPR, NeurIPS, ICLR, etc.).
- Proficient in Python.
- Values scientific rigour, reproducibility, and high quality software.
- Passionate about computer vision and solving problems users value.
- Pragmatic approach to utility in practice.

## Preferred
- Previous experience with both optimizing models for edge hardware and training models on distributed infrastructure.
- Expertise in PyTorch.

## Compensation
- Target base salary: $168,000 - $255,000 (based on location and level).
- Additional perks: $4000/yr travel stipend, up to 100% health insurance coverage, $350/mo productivity stipend, $350/mo AI stipend, $500 home office stipend, $150/mo team lunch stipend, unlimited PTO (min 2 weeks), 12 weeks parental leave, equity.

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