Senior Machine Learning Engineer

Role Description

We are looking for an experienced Machine 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.

• Own the full ML lifecycle: from data gathering and training to optimization, production rollout, and continuous quality assessment.
• Train SOTA 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 sophisticated deep learning model and when to deploy a simple, clever heuristic to solve a problem fast.
• Serve models efficiently using FastAPI and PyTorch, ensuring seamless integration with our high-load Java backend.
• Build and monitor ML pipelines and dashboards using Airflow, ClickHouse, and Superset to keep our models reliable under extreme loads.

Qualifications

• 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.
• Up-to-date with SOTA and practical baselines, specifically in image segmentation, text extraction, or anomaly detection.
• An autonomous product owner: capable of taking an idea from inception to implementation under the pressure of a competitive market.
• Proactive communicator: you easily align with PMs and backend teams, and you don't go quiet if something breaks - you find the solution.

Requirements

• Experience with big data and stream processing tools (Kafka, Flink, Trino, or ClickHouse).
• Hands-on experience with Generative AI (GANs, Diffusion models) or adversarial attack simulation.
• Background in the fintech, anti-fraud, or KYC/KYB domain.

Benefits

• Remote-first, trust-based culture.
• True flexibility: adjust your working hours as needed.
• Extra time off: your birthday is a holiday, plus 10 personal days, seven sick days without paperwork, and extra time for Christmas and New Year.
• Work that matters: contribute to building a secure, accessible, and inclusive digital world.
• Compensation: fair and transparent pay, benchmarked to the market.
• Truly global: work across continents and time zones.
• Growth built in: clear goals, open feedback, and personal development plans.
• Team offsites: meet in person a few times a year, with trips fully covered.
• Getting you set up: access to the tools and hardware you need.
• Friendly by design: a human, open, and kind work environment.