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Salary
$43k – $107k per year (Estimated)
Location
Remote (Cyprus)
Seniority
Senior · 4+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
Sumsub provides identity verification, transaction monitoring and fraud prevention through a single configurable platform. Founded in 2015 and headquartered in London, it serves crypto exchanges, fintechs and marketplaces worldwide. Its liveness and deepfake detection models are trained on large fraud datasets.

Sumsub is the first AI-powered trust infrastructure for compliance operations at scale. It connects identity and business verification, fraud prevention, transaction monitoring, and risk workflows, helping teams reduce manual work and enter new markets.

Trusted by over 4,000 clients across financial services, crypto, mobility, trading, marketplaces, education, and iGaming, including Bybit, Bitpanda, Wirex, Avis, Vodafone, Duolingo, Kaizen Gaming, and Bancaribe.

Sumsub is recognized as a Great Place To Work® in the US and rated 4.3 out of 5 on Glassdoor. Our 1,000+ people around the world back it up, too: 92% are proud to be Sumsubers, and 90% say their work is interesting and challenging.

Now we are looking for an experiencedMachine Learning Engineer to build, deploy, and own end-to-end ML solutions that combat sophisticated fraud, deepfakes, and identity theft. This role is an exciting opportunity to have true product autonomy, see your models protect millions of users in real time, and scale a platform that handles millions of verifications a day.

What You Will Be Doing:

  • Own the full ML lifecycle: from data collection, labeling, and training through optimization, production rollout, and ongoing quality assessment

  • Train CV/ML models to detect deepfakes, segment documents, and uncover complex anomaly patterns in real time.

  • Balance research and speed: know when to build a full deep learning model and when to ship a simple, clever heuristic that solves the problem fast.

  • Serve models efficiently with FastAPI and PyTorch, integrating cleanly with our high-load Java backend.

  • Build and monitor ML pipelines and dashboards with Airflow, ClickHouse, and Superset so models stay reliable under heavy load.

About You:

  • 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) and solid production-grade engineering skills.

  • Fluent with the data side of the work: labeling, collection, and navigating the data space to decide what to include, what to leave out, and how those choices affect training. Solid grasp of how the training distribution relates to what the model sees in production - sampling, skew, and shift, and how to catch it before it bites.

  • Familiar with current research, the latest baselines, and modern architectures.

  • An autonomous product owner: capable of taking an idea from inception to implementation under the pressure of a competitive market.

  • A proactive communicator: you easily align with PMs and backend teams, and you don't go quiet if something breaks - you find the solution.

Nice to have:

  • Experience standing up model serving and the infra around it (Triton or FastAPI, queues, autoscaling, monitoring).

  • Comfortable designing and reading online experiments / A-B tests.

  • Experience with big data and stream processing tools (Kafka, Flink, Trino, or ClickHouse).

What We Offer:

  • Remote-first, trust-based culture. Work from the place that works best for you. No mandatory office days, no attendance trackers. In some locations, we provide offices or coworking spaces, but the choice is yours.

  • True flexibility. We do not fix you to a 9-to-5 schedule. You can adjust your working hours when needed, as long as your day stays productive and in sync with the team.

  • Extra time off. Your birthday is a holiday here. Add to that 10 personal days each year, seven sick days without paperwork, and extra time to enjoy Christmas and New Year. Time to rest is part of the deal.

  • Work that matters. Our mission is to build a digital world that is secure, accessible and inclusive for everyone. From fighting fraud to making online services easier and safer to use, your work will have a real impact on how people experience trust online.

  • Compensation. We offer fair and transparent pay, benchmarked to the market.

  • Truly global. We work across continents and time zones, with teammates and customers from all over the world. You will run campaigns that cross borders, cultures, and languages, and see your ideas land worldwide.

  • Growth built in. Clear goals, open feedback and personal development plans. We support your progress with learning opportunities and by covering role-specific events, from design conferences to marketing forums.

  • Team offsites. Sometimes just Slack is not enough. That is why we meet in person a few times a year. Trips are fully covered, so you can meet, collaborate, and recharge together.

  • Getting you set up. We make sure you have access to the tools and hardware you need to do your work well.

  • Friendly by design. Our logo is a dog for a reason. We keep things human, open and kind. We welcome individuality, quirks and different perspectives, because that is what makes our work smarter and more fun.

The hiring stages: TA screening -> Hiring Manager Interview -> Case study interview-> Final Interview.

Sounds like a great opportunity for your career development? Then go ahead and apply!

We are a global community of innovators, creators, and thinkers, and we believe that diversity fuels our innovation. Sumsub is proud to be an equal opportunity employer, committed to building a diverse and inclusive workforce. We welcome applications from people of all backgrounds, cultures, genders, experiences, abilities and perspectives. Join us in shaping the future inclusively.

We believe in fair and transparent compensation. Salaries vary depending on work location and applicable local market conditions.

We believe in fair and transparent compensation. Salaries vary depending on work location and applicable local market conditions.

This role is open to candidates in multiple countries, and compensation differs based on the candidate’s confirmed work location. For this reason, a single universal salary range is not included in this job posting.

The applicable work location will be confirmed early in the recruitment process, and the relevant compensation information for that location will be shared in writing, in line with local requirements.

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