Lead the design and development of ML applications across our product portfolio
Support multiple scrum teams and work with external customers
Help guide the transformation of machine learning research domain expertise into viable prototypes
Collaborate with stakeholders to understand technical and business impacting variables
Evangelize best practices for software engineering including design, development, and lifecycle maintenance
Enable Machine Learning Engineers to build and train new production-grade algorithms
Prepare and submit conference and journal articles

Familiarity with traditional ML algorithms (classification, regression)
Experience with building, testing, measuring, and deploying machine learning models in production
Experience with LLM engineering, including: Fine-tuning foundation models (GPT-4, Claude, open-source LLMs)
Implementing Retrieval-Augmented Generation (RAG) systems
Prompt engineering and LLM evaluation frameworks
Expertise in building generative AI applications: Development of multimodal AI solutions (text, image)
Working with vector databases and embedding models
Context window optimization and token management
Prior engineering project leadership using relevant skills and technologies: Python (Scikit-learn, TensorFlow, PyTorch, Pandas, Numpy, Scipy)
SQL, Linux/Mac command-line tools
Familiarity with agile software development lifecycle (SCRUM, Kanban, etc.)
Previous experience of owning, maintaining, and enhancing software data products
Attention to clarity of code, ease of development, and correctness of implementations
Good knowledge of software development best practices including testing, continuous integration, and DevOps tools
Experience with mentoring and training junior team members, especially pair programming
STEM-related degree (Bachelor's, Master's or Doctorate)
5-8 years' experience working on creating machine learning algorithms for production purposes

Senior Machine Learning Engineer

Key skills