Senior Machine Learning Engineer - Embedded AI

Your impact:

• Turn difficult accounting problems into trusted ML products used daily by thousands of users.
• Drive automation and user trust through verticalized AI embedded in the product.
• Contribute to the three-layer AI strategy: embedded AI, agent interface, and orchestrator.

How you will work:

• Join a collaborative team within the ML AI organization, working closely with product squads and domain experts.
• Use a tech stack including Python, PyTorch, PySpark, Redshift, Airflow, and AWS SageMaker.
• Choose the simplest reliable approach for each problem, from deterministic logic to generative AI.

What success looks like:

• Within one month: learn the product, workflows, and AI vision; contribute to a first scoped improvement.
• Within three months: own an Embedded AI use case end-to-end with clear metrics.
• Within six months: lead cross-team ML projects and shape the Embedded AI roadmap.