Senior Machine Learning Engineer, Foundational Models and Agentic systems

Intuit; Carmel (IN); On-site; USD 140,000 - 190,000; Full time

Job summary

Intuit's Generative AI group is building the next generation of AI-powered products and experiences. You will work with data scientists and engineers to deploy GenAI models at scale and deliver elegant, customer-focused solutions.

You will design systems, collaborate with product managers, and explore state-of-the-art technologies to improve inference, training, and end-to-end pipelines for impactful customer outcomes.

Qualifications

• Experience with LangChain, vLLM, HuggingFace toolkit and GenAI architectures.
• Proficient in Spark and Python for ML workloads.
• Experience with AWS, Docker, Kubernetes, Kubeflow/MLflow.
• Strong understanding of ML model training, evaluation, and deployment.
• Experience with data processing, SQL/NoSQL and streaming systems.
• Familiarity with production-grade software engineering and version control.

Responsibilities

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

Skills

LangChain

vLLM

HuggingFace

Spark

Python

Docker

Kubernetes

Kubeflow/MLflow

Generative AI architectures

ML techniques

Relational DBs

NoSQL

Stream processing

Distributed systems

Git/GitHub

Data structures

Algorithms

Math fundamentals

Education

CS degree or equivalent

Tools

Jira

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.