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Tech Stack
Tools & technologiesAirflowJavaPyTorch
About the role
Key responsibilities & impact- Own the full ML lifecycle from data collection to ongoing quality assessment.
- Train CV/ML models to detect deepfakes and uncover complex anomaly patterns.
- Balance research and speed in model building and heuristic solutions.
- Serve models efficiently with FastAPI and PyTorch, integrating with Java backend.
- Build and monitor ML pipelines and dashboards with tools like Airflow and ClickHouse.
Requirements
What you’ll need- 4+ years of experience as an ML / CV Engineer in fast-paced, high-load product environments.
- Strong background in deep learning frameworks (PyTorch is our go-to).
- Fluent with data work: labeling, collection, navigating data space.
- Solid grasp of training distribution and production relations.
- Familiar with current research, latest baselines, and architectures.
- Autonomous product owner, taking ideas from inception to implementation.
- Proactive communicator aligning with PMs and backend teams.
Benefits
Comp & perks- Remote-first, trust-based culture.
- True flexibility and no mandatory office days.
- Extra time off including birthday as a holiday.
- Fair and transparent pay, benchmarked to the market.
- Growth built in with goals, feedback, and personal development plans.
- Team offsites covered by the company for collaboration and recharge.
- Tools and hardware provided to do your work well.
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Machine LearningComputer VisionDeep LearningModel TrainingAnomaly DetectionData LabelingData CollectionHeuristic SolutionsModel MonitoringProduction Relations
Soft Skills
Proactive CommunicationAutonomous Product Ownership
