Lead the design and development of ML applications across our product portfolio, focusing on generative AI and large language model (LLM) solutions
Provide architecture and shape coding standards
Evangelize best practices for software engineering including design, development, and lifecycle maintenance
Partner with multiple software engineering teams to encourage practices like code reusability, shared libraries, and UX-driven design
Guide the transformation of machine learning research domain expertise into viable prototypes
Help our Machine Learning Engineers build and train production-grade algorithms
Research current and emerging industry tools, techniques, and algorithms
Meet frequently with stakeholders, product managers, engineering managers, data scientists, and other engineers to distill technical and business impacting variables into strategic choices for developing and improving software products for customers
Work with external customers as a consultant or solution Machine Learning Engineer
Prepare and submit conference and journal articles

Requirements

Familiarity with traditional ML algorithms (classification, regression) and MLOps processes
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

Benefits

Health insurance
Retirement plans
Paid time off
Flexible working arrangements
Professional development opportunities

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

machine learning algorithmsMLOps processesLLM engineeringfine-tuning foundation modelsRetrieval-Augmented Generation (RAG)prompt engineeringgenerative AI applicationsvector databasesPythonSQL

Soft Skills

leadershipcommunicationmentoringcollaborationattention to detail

Certifications

STEM-related degree