Job description
We are looking for an Applied Research Engineer for the **Risks Team **to create state of the art foundational deep learning models for fintech. We work with Python, Pytorch, MLFlow, AWS, Snowflake, Claude Code / OpenAI Codex / Cursor.
Challenges that await you:
- Train self-supervised models on discrete sequences to beat the SOTA and achieve business impact in downstream tasks across PLATA, such as: credit risk, transaction anti-fraud and LTV forecasting.
- Stay on top of SotA research, applying the latest NLP and DL techniques to fintech models.
- Work with large multimodal datasets: tabular, behavioral, transactional, device and network, text, time series, graphs.
- Optimize the utilization of compute resources for both training and inference.
- Own and develop solutions end-to-end, from idea to data collection to experiments to training runs to inference optimization to evaluating impact.
- Perform rigorous evaluations.
- Write articles and speak at industry conferences.
What makes you a great fit:
- Solid theoretical knowledge of machine learning, deep learning and NLP.
- Demonstrated experience in training and developing modern deep learning models.
- Understanding and experience with dataset design and data mixing for DL training.
- Demonstrated understanding of how to maximize the utilization of compute resources and efficiently perform experiments to validate research ideas.
- Solid communication skills.
- High autonomy and ownership.
- Ability to work even if Claude is down
Your bonus skills:
- PhD, publications and other previous research experience.
- Experience training 1b+ transformer models.
- Experience with transformer-based architectures for non-natural language event sequences: CoLES, BERT4Rec, SASRec.
- Experience training self-supervised, embedding and ranking DL models.
- Experience in fintech and banking.
- B1 or higher English level for effective communication with an international team.
** Our ways of working:**
- **Innovative Spirit: **A commitment to creativity and groundbreaking solutions
- Honest Feedback: valuing open, transparent communication
- **Supportive Team: **a strong, collaborative community
- **Celebrating Achievements: **recognizing our wins together
- High-Tech Environment: a team full of smart and revolutionary people who date to challenge the status quo of incumbent finances
Our benefits:
- Relocation support** to one of our hubs — Cyprus, Serbia, Spain, Georgia or Kazakhstan — with assistance for the employee and their family
- **Flexible work **from one of our offices or remotely within time zones from GMT-2 to GMT+5
- Healthcare Coverage
- Education Budget: Language lessons, professional training and certifications
- Wellness Budget: Mental health and fitness activity reimbursements
- Vacation policy: 20 days of annual leave and paid sick leave