Role overview
We are looking for a Machine Learning Engineer (MLE) to work on building foundational language models and agentic AI systems that empower small and medium-sized businesses (SMBs) in their financial and operational journeys.
What you'll work on
- Implement, optimize, and deploy foundation and agentic models for large-scale use in financial reasoning, decision support, and business automation.
- Collaborate with MLE, AI scientists to operationalize research ideas, turning model architectures and training methods into efficient, production-grade implementations.
- Design, build, and maintain ML pipelines for data ingestion, preprocessing, training, evaluation, and continuous improvement.
- Optimize inference efficiency and model latency, ensuring production systems meet real-time performance requirements.
- Contribute to retrieval, memory, and orchestration components that enable agentic reasoning and long-term context management.
- Establish best practices for model monitoring, evaluation, and safe deployment, including automated testing and observability in production environments.
- Drive applied innovation, bridging the gap between research prototypes and large-scale, reliable business solutions used by millions of customers.
What we're looking for
- Master’s degree in Computer Science, Machine Learning, or a related field (Ph.D. a plus).
- Proven experience in building and deploying large-scale ML systems in production environments.
- Strong proficiency in Python, with hands-on experience using PyTorch, JAX, or TensorFlow.
- Expertise in distributed training and inference optimization (e.g., GPU/TPU scaling, mixed precision, model parallelism).
- Familiarity with agentic system design, retrieval-augmented generation (RAG), or multi-step reasoning systems.
- Experience with cloud and MLOps technologies such as Kubernetes, Docker, Ray, Airflow, or SageMaker.
- Demonstrated ability to collaborate with research and product teams to deliver robust, high-impact AI capabilities.
- Passion for building applied AI that simplifies complex business workflows and empowers entrepreneurs around the world.
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will 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.