As a Senior Machine Learning Engineer at BILL's AI Product Engineering team in San Jose, you will design and deploy machine learning models to solve complex fintech challenges. Your daily tasks include collaborating with cross-functional teams to develop scalable ML solutions, analyzing datasets for actionable insights, and optimizing model performance in production environments. You should have experience with Python, TensorFlow, PyTorch, or scikit-learn, as well as expertise in OCR extraction, NLP methodologies, and AI agents. This role offers the opportunity to work on cutting-edge financial automation tools that impact millions of users globally.
Design and develop robust machine learning models to address fintech business challenges.
Analyze complex datasets to identify patterns and extract actionable insights for product innovation.
Evaluate and optimize model performance in production environments to ensure reliability and accuracy.
Mentor junior team members and share technical expertise to enhance overall team capabilities.
Contribute to the development of AI workflows and best practices within the engineering team.
What we're looking for
Proven experience building and deploying machine learning models in production environments.
Strong programming skills in Python with familiarity in TensorFlow, PyTorch, or scikit-learn.
Experience with OCR extraction and NLP methodologies.
Knowledge of AI agents and strong experience with LLMs.
Ability to analyze large, complex datasets using statistical techniques.
Excellent communication and collaboration skills for cross-functional teams.
Market check
Salary context
This
$161,900–$194,200
range sits above
28%
of similar postings on FindRole.
Peer median band
$165,500–$247,800
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$175,750–$246,150
Middle half of comparable postings.
Based on 240 comparable postings.*
* 240 is the maximum number of comparable postings sampled.
Employer
About Bill
Bill.com (BILL) is a financial operations platform for small and midsize businesses that automates accounts payable, accounts receivable, and spend management to streamline financial workflows. Industry: Financial Technology & Business Payments