Senior Software Engineer developing scalable machine learning solutions for product - driven team at Maropost. Collaborating on recommendation systems and enhancing developer experience within the Machine Learning team.
About the role
- Machine Learning Engineer at PayPal developing and optimizing machine learning models. Collaborating with cross-functional teams and staying updated with advancements in technology.
Responsibilities
- Assist in the development and optimization of machine learning models.
- Preprocess and analyze datasets to ensure data quality.
- Collaborate with senior engineers and data scientists on model deployment.
- Conduct experiments and run machine learning tests.
- Stay updated with the latest advancements in machine learning.
Requirements
- Strong proficiency in Python for data analysis, machine learning, and automation.
- Solid understanding of supervised and unsupervised AI/machine learning methods (e.g., XGBoost, LightGBM, Random Forest, clustering, isolation forests, autoencoders, neural networks, transformer-based architectures).
- Experience in payment fraud, AML, KYC, or broader risk modeling within fintech or financial institutions.
- Experience developing and deploying ML models in production using frameworks such as scikit-learn, TensorFlow, PyTorch, or similar.
- Hands-on experience with LLMs (e.g., OpenAI, LLaMA, Claude, Mistral), including use of prompt engineering, retrieval-augmented generation (RAG), and agentic AI to support internal automation and risk workflows.
- Ability to work cross-functionally with engineering, product, compliance, and operations teams.
- Proven track record of translating complex ML insights into business actions or policy decisions.
Benefits
- Flexible work environment
- Employee shares options
- Health and life insurance
- Wellness programs
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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