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# Machine Learning Researcher

- **Company:** VIDAS INC.
- **Location:** San Francisco, CA, United States (Remote available)
- **Experience:** Expert
- **Salary:** $175,000.0 - $300,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Computer Vision, Machine Learning, Open Source Technology, Deep Learning, Information Technology, Machine Learning Operations
- **Published:** September 4, 2026
- **Apply:** https://startup.jobs/senior-machine-learning-researcher-remote-us-compoundeye-com-8294189

## About the Role

* M.S. or Ph.D. in Machine Learning, Computer Science, or a related field or equivalent experience demonstrating deep fluency in modern ML methods.
 * Familiarity with version-controlled experimentation and MLOps tools.
 * Demonstrated ability to read, interpret, and implement research papers.
 * Experience independently running and evaluating experiments from dataset preparation through model training and analysis.
 * Excellent problem-solving skills and the ability to translate research insights into practical, high-impact solutions.
 * Clear written and verbal communication skills for articulating technical concepts to both research and engineering audiences.

Nice to have

 * Publications in major ML or AI conferences or equivalent contributions to applied ML research.
 * Active engagement with the ML research community, staying current with conferences, open-source releases, and emerging methods., This position requires access to technology controlled under the International Traffic in Arms Regulations (ITAR). Applicants must be a U.S. person as defined under ITAR (U.S. citizen, lawful permanent resident, asylee, or refugee) or qualify for a license exception.

Compound Eye Applicant and Worker Privacy Notice

## Description

* Plan, design, and run experiments to evaluate and refine deep learning architectures and training methodologies.
 * Research, implement, and adapt new algorithms and model architectures from recent ML papers, particularly those relevant to perception, localization, and scene understanding.
 * Collaborate closely with talented engineers to translate research insights into robust, deployable models.
 * Build on our unpublished research and state of the art approaches for geometric computer vision.
 * Stay current with the latest research in machine learning, deep learning, and AI, ensuring new developments are thoughtfully incorporated into our technology roadmap.
 * Conduct exploratory experiments on novel approaches; document and share findings that inform future production work.
 * Participate in project planning, reviews, and retrospectives, contributing technical expertise and mentorship where appropriate.
 * Publish original research.


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