Machine Learning Engineer at Sumsub building ML solutions combating fraud and identity theft. Work with global teams in a fully remote setting allowing product autonomy.
Responsibilities
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
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
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.
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