Senior Machine Learning Engineer, Foundational Models and Agentic systems

Intuit; Grand Rapids (MI); On-site; USD 140,000 - 200,000; Full time

Job summary

Intuit’s Generative AI group invites you to join a team building the next generation of innovative products using cutting-edge technology.

You’ll work with data scientists and ML engineers to code, optimize, and deploy GenAI models at scale, collaborating across business units to deliver delightful user experiences.

Qualifications

• LLM experience: LangChain, vLLM, HuggingFace toolkit
• ML languages/tools: Spark, Python
• Cloud technologies: AWS; container tech: Docker, Kubernetes, KubeFlow/MLflow
• GenAI architectures design/development
• ML techniques and principles: training, validation, testing
• Data query/processing: relational, NoSQL, streaming
• Distributed computing: Spark, Hive
• Software engineering fundamentals: version control and production-grade code
• CS fundamentals: data structures, algorithms, performance
• Mathematics: linear algebra, calculus, probability
• Education: BS/MS/PhD in CS or related field, or equivalent practical

Responsibilities

• Design and build systems to improve GenAI inference, quantization, optimization, finetuning, and evaluation
• Collaborate with product managers, data scientists, and engineers to implement and refine GenAI models
• Effectively communicate results to peers and leaders
• Explore state-of-the-art technologies and apply them to deliver customer benefits
• Interact with data sources, refining features and building end-to-end pipelines

Skills

LangChain

vLLM

HuggingFace

Spark

Python

AWS

Docker

Kubernetes

KubeFlow/MLflow

GenAI architectures

Education

BS/MS/PhD in Computer Science or related field

Tools

Git

Github

Job description

Overview

Join the innovative Generative AI group, to help build the next generation of awesome products and experiences using cutting‑edge technology.

Overview

Join the innovative Generative AI group, to help build the next generation of awesome products and experiences using cutting‑edge technology.

If you love having stretch goals, challenges, and making customers incredibly happy while fostering your obsessive need for elegant, state of the art technology which drives impact and creates awesome user experiences, this is the job for you.

You will collaborate with many teams in Intuit and contribute to many components in different business units. We love engineers who lead the change, communicate with customers, and deliver the most beautiful and intuitive applications.

In This Role, You’ll

• Be part of a vibrant team of Data Scientists and ML Engineers
• Be expected to help code, optimize, and deploy GenAI models at scale, using the latest industry tools and techniques
• Help automate, deliver, monitor, and improve GenAI solutions

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

Qualifications

• 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

Footer

Intuit provides 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 our applicable plans and programs (see more about our compensation and benefits at Intuit: Careers | Benefits). Pay offered is based on factors such as job‑related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.