Senior Machine Learning Engineer

Sumsub

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.

Posted 7/7/2026full-timeRemote • 🌎 Anywhere in the WorldSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in managing the full machine learning lifecycle, including data collection, model training, and quality assessment, with a strong focus on deep learning frameworks like PyTorch. Proven ability to autonomously drive product development from inception to implementation while effectively collaborating with cross-functional teams.

Highest-signal resume keywords

Machine Learning Lifecycle ManagementDeep Learning Frameworks (PyTorch)Model Training and EvaluationFastAPI for Model ServingData Collection and Labeling

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningComputer VisionDeep LearningModel TrainingAnomaly DetectionData LabelingData CollectionHeuristic SolutionsModel MonitoringProduction Relations

Soft Skills

Proactive CommunicationAutonomous Product Ownership

Tools & Technologies

FastAPIPyTorchAirflowClickHouse

Industry Keywords

High-Load Product EnvironmentsCurrent ResearchLatest BaselinesArchitectures

Tech Stack

Tools & technologies

AirflowJavaPyTorch

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.