Software Engineer (ID Verification - Machine Learning team)
- Contribution to the ID Verification ML team building in-house ML solutions
- Delivery of high-quality NodeJS, TypeScript and Python code with simplicity, performance and scalability in mind
- Design, build, and maintenance of ETL/data pipelines that turn raw data into clean, labeled, versioned training datasets
- Building and operation of data-intensive backend services across training and eval workflows
- Support of ML model packaging, delivery, and serving into production
- Partnership with machine learning engineers to translate research prototypes into high-quality, well-tested, production-ready code
- Provision of expertise, review of pull requests and help raising engineering practice across a fast-moving, research-heavy team
- Design of technical implementations, breaking down features into development stories, and providing estimates
- Mentoring colleagues, fostering a culture of continuous learning, and recommending new approaches to improve team engineering practices
- Participation in hiring interviews, providing technical assessment and team-fit review
- Handling of sensitive data with rigor including data residency and compliance as first-class engineering concerns
- 5+ years of software engineering experience with NodeJS, TypeScript, React, Python, REST, RDBMS, NOSQL backend systems or similar stacks
- Comfort operating in a research-adjacent, evidence-driven environment
- Passion for building scalable data pipelines that empower ML engineering efforts
- Agile and iterative mindset with end-to-end ownership
- Experience with cloud data and ML infrastructure, AWS preferred
- Experience with containerization using Docker and Kubernetes
- Understanding of data modeling across both relational and unstructured data
- Strong experience in automated testing
- Excellent problem-solving skills
- English language proficiency
- HUF 18,168,682 – HUF 24,581,015 compensation range
- Equity offers
- Employee stock ownership plan (ESOP)
- National holidays and generous holiday allowance
- Flexible work schedule
- Enhanced parental leave policies
- Private health insurance including coverage for spouse and dependents
- Hybrid working environment with remote and office collaboration
- Employee assistance and mental health support platform access
- Monthly company breakfast and weekly lunch allowance
- Access to learning and development opportunities including external L&D
- Weekly language courses for 40+ languages
- Book allowance for business books
- Canteen
- Cafe
- Corporate events
- Bicycle storage
- Free fruits, snacks
- Free coffee, soft drinks
- Free breakfast
- Free lunch
- Play corner