Senior Machine Learning Engineer, Foundational Models and Agentic systems

Описание

Join the innovative Generative AI group to help build the next generation of products and experiences using cutting-edge technology. You will collaborate with many teams in Intuit and contribute to many components in different business units.

Responsibilities

• Design and build systems, which improve Generative AI inference, quantization, optimization, finetuning, and evaluation
• Work cross-functionally with product managers, data scientists, and engineers to understand, implement, refine, and design Generative AI models
• Effectively communicate results to peers and leaders
• Explore the state-of-the-art technologies and apply them to deliver customer benefits
• Interact with a variety of data sources, working closely with peers and partners to refine features from the underlying data and build end-to-end pipelines

Requirements

• LLM experience: LangChain, vLLM, HuggingFace toolkit
• Machine Learning oriented languages, tools, and frameworks: Spark, Python
• Cloud technologies, in particular AWS, and Software container technology: Docker, Kubernetes, KubeFlow / MLflow
• Experience with designing and developing Generative AI architectures
• Machine learning techniques (classification, regression, and clustering) and principles (training, validation, and testing)
• Data query and data processing tools or systems: relational, NoSQL, stream processing
• Distributed computing systems and related technologies: Spark, Hive
• Software engineering fundamentals: version control systems (Git, Github) and workflows, and ability to write production-ready code
• Computer science fundamentals: data structures, algorithms, performance, complexity, and implications of computer architecture on software performance (I/O and memory tuning)
• Mathematics fundamentals: linear algebra, calculus, probability
• BS, MS, or PhD degree in Computer Science or related field, or equivalent practical

We offer

• A competitive compensation package with a strong pay for performance rewards approach
• This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with applicable plans and programs