Senior Machine Learning Researcher (Remote - US)

Compound Eye; Poland; Remote; PLN 629,270 - 1,078,749; Full time

Benefits offered by this job

Strong Incentive Stock Options (ISO)

Medical, dental, and vision insurance

Annual home office stipend

401(k) with employer match after 6 months

Job summary

Compound Eye in Poland is looking for a talented researcher-engineer to join their team, focusing on hands-on experimentation and technical contributions in deep learning and computer vision. The role demands a strong background in ML methodologies, the ability to run independent experiments, and excellent problem-solving skills. The compensation ranges from $175,000 to $300,000 depending on experience, along with various benefits like health insurance and flexible PTO.

Qualifications

• Advanced degree or equivalent experience in modern ML methods required.
• Ability to read and implement research papers.
• Experience in conducting and evaluating machine learning experiments.

Responsibilities

• Design and run experiments to evaluate ML architectures and methodologies.
• Research and implement algorithms based on recent ML literature.
• Collaborate with engineers to translate research into deployable models.

Skills

Machine Learning expertise

Problem-solving skills

Version-controlled experimentation

Communication skills

Education

M.S. or Ph.D. in Machine Learning or Computer Science

Tools

MLOps tools

Job description

Compound Eye enables machines to understand their surroundings in 3D and in real time using only passive sensors like cameras and IMUs. Our VIDAS™ technology takes video from automotive‑grade cameras and outputs a dense, semantic 3D representation of the world that vehicles and robots can use to navigate their environment. VIDAS is a fully redundant alternative to LiDAR and radar. Compound Eye has customers in automotive, agriculture, healthcare, and defense and is backed by Khosla Ventures and other leading investors.

Compound Eye is looking for a researcher‑engineer who thrives on experimentation. You read new papers for fun, know when to adopt and when to question the latest architectures, and can turn academic ideas into practical prototypes. You want to take on world‑class problems in computer vision and robotics where you may have unlimited resources during training but challenging constraints at inference.

You’ll focus on hands‑on experimentation, exploration, and deep technical contribution. You’ll run your own experiments, propose hypotheses, and share results that help guide our next generation of ML systems.

Responsibilities

• 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.

To thrive in this role you have

• 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.

Compensation & Benefits

• Base salary: $175,000 to $300,000, depending on experience.

• Strong Incentive Stock Options (ISO)

• Medical, dental, and vision insurance

• Annual home office stipend

• Employer‑paid long‑term disability, short‑term disability, and life insurance

• 401(k) with employer match after 6 months

• Flexible PTO and 8 holidays + 2 week winter break

• Paid family leave

• Quarterly onsites in San Francisco

Compound Eye is committed to building a diverse and inclusive work environment. We understand that no candidate is perfectly qualified for any job and experience comes in different forms. We encourage you to apply if you see yourself being successful in this position.

Compound Eye is an Equal Opportunity Employer and a VEVRAA Federal Contractor. We do not discriminate based on race, color, religion, sex, national origin, disability, or protected veteran status.

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.

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