Senior Data Scientist

The role

This person will own and contribute to ML/CV pipelines in a robotics autonomy stack and manage the data lifecycle from collection to training. They will work with simulated and real flight data to improve perception and autonomy models under field constraints.

What you will do

• Own and contribute to existing ML/CV flows in robotics autonomy and perception stack
• Design, build, and operate data flows including ingestion, storage, and labeling workflows
• Work with simulated data to generate, validate, and mix with real flight data
• Improve model quality under field constraints like noisy sensors and limited compute
• Partner with robotics, autonomy, and product engineers to ship changes for real missions
• Build practical tooling and automation for dataset curation and experiment tracking
• Make pragmatic technical choices regarding retraining and data fixes

Required qualifications

• Strong hands-on experience as a Data Scientist / ML Engineer working on computer vision, perception, or robotics-related ML
• Proven ability to own both model work and data infrastructure
• Experience training and evaluating CV/ML models and integrating them into real systems
• Comfort working with simulated data and hybrid real+sim datasets
• Solid Python and modern ML tooling (PyTorch/TF, experiment tracking, data/ETL basics)
• Ability to write production-quality code
• Fundamentals in math and physics
• Real power-user experience with AI engineering tools (Cursor, Claude Code, Codex, or similar)
• Upper-Intermediate English or higher
• Ability to operate with high ownership in a fast-moving environment

Nice to have

• Experience deploying or preparing models for edge / embedded platforms (e.g. Jetson, Qualcomm)
• Depth in ATR, object recognition, tracking, or autonomous systems
• Experience with robotics, drones, aerospace, or defense / OT environments
• Hardware–software integration experience
• Building or scaling data platforms for ML teams
• Experience closing the loop from field logs to redeployed autonomy

Benefits

• Competitive salary
• Insurance
• Paid sick leaves
• 20 paid days off per year
• Benefits of the defense sector (reservation, etc.)

Before you apply

• Recruiter Screen
• Technical Interview
• Managerial Interview
• Final Interview with CEO
• Background check

About the company

Swarmer develops software that makes drones autonomous and allows them to operate together in large, coordinated teams. It is a Ukrainian defense startup that went public on NASDAQ in March 2026.