As an AI/ML Engineer on the Global Data and Analytics team, you will support the development of strategic, visibility-driven recommendation systems that serve both internal stakeholders and external customers. You will design, develop, and implement robust, scalable, and optimized machine learning and deep learning models, with the ability to iterate with speed.
Requirements
- BSc/MSc/PhD in computer science, data science or related discipline
- 5+ years of industry experience building cloud-based ML solutions for production at scale
- Good problem solving skills, for both technical and non-technical domains
- Good broad understanding of ML and statistics covering standard ML for regression and classification, forecasting and time-series modelling, deep learning
- Hands-on experience building ML solutions in Python, incl knowledge of common python data science libraries
- 2+ years of experience with simulation methods and respective Python libraries
- Strong foundational experience with Reinforcement Learning and multi-agent systems for decision-making in dynamic environments
- Hands-on experience building end-to-end data products based on AI/ML technologies
- Experience with collaborative development workflow: version control, code reviews, DevOps (incl automated testing), CI/CD
- Expertise in neural networks, optimization techniques and model evaluation is a plus, as well as experience with LLMs, Transformer architectures
Benefits
- Generous Paid Time Off
- 401k Matching
- Retirement Plan
- Visa Sponsorship
- Four Day Work Week
- Generous Parental Leave
- Tuition Reimbursement
- Relocation Assistance