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Posted Jan 29, 2026
This role is available in the Bay Area, CA. ## Time Zone Requirements
The team operates in either East/West Coast time zones. ## Travel Requirements
This team has regular onsite collaboration sessions. These occur several times per year and span consecutive days in the Bay Area, CA. # How You’ll Make an Impact
Innovate in machine learning lending solutions: By leveraging your deep expertise in machine learning, you will contribute to the development of cutting-edge lending solutions that revolutionize access to credit for small and medium-sized businesses (SMBs). Your work will directly impact the speed, efficiency, and accessibility of credit, making it more tailored and less risky for both lenders and borrowers. - Drive Technical Excellence and Innovation: As part of a dynamic team, you will push the boundaries of what is possible in fintech and embedded finance. Your contributions will help shape the technological direction of Prime, ensuring that we stay at the forefront of industry developments and continue to offer best-in-class solutions to our partners and clients. - Empower Small Businesses and Foster Financial Inclusion: Your efforts will not just advance Prime's technological capabilities but also support a broader mission of financial inclusion. By enhancing our ML-driven credit decisioning processes, you'll play a key role in democratizing access to financial services, enabling small businesses to thrive and contribute to the economy more significantly. #
Develop and Enhance ML Models: You’ll design, build and deploy sophisticated machine learning models that improve our credit decisioning, fraud detection and other processes. This involves working closely with a high variety of data, identifying patterns and implementing models that learn from and adapt to new data. - Collaborate Across Teams to Deliver Impactful Solutions: Work cross-functionally with product managers, engineers, and stakeholders to understand business needs and translate them into ML-driven strategies and products. - Lead ML Projects from Ideation to Production: Take ownership of machine learning projects from the initial concept through to deployment and continuous improvement. This includes defining project scopes, developing timelines, managing resources, and ensuring that the solutions delivered are scalable, reliable, and impactful. # Technologies we use
Languages: Python, Javascript
Infrastructure: AWS, Terraform, Elastic Container Service, Elastic Load Balancer, API Gateway, SQS, SNS, Step Functions
Database / Warehouse: PostgreSQL, DynamoDB, Databricks Unity Catalog
Distributed Compute: Spark/Databricks
Frameworks: Flask, React, Tailwind, REST
Tooling: Github, Sentry, Grafana
Multiple 3rd party financial system integrations
8+ years of professional ML engineering, data science or equiv. software engineering experience, with a proven track record of successfully managing continuous improvements of production machine learning systems. - Solid grasp of the fundamentals machine learning with a specialization in some unique area(s) of interest. eg. causal modeling, NLP, time series, deep learning, etc. - Experience with the complete development cycle, from product definition to delivery. - Excellent communication skills. - Growth mindset. - Bias to action. - Evidence of constant learning. - The motivation and ability to work well in a high-growth and dynamic environment. # What You'll Love
Competitive salary and equity grants
Top tier medical, dental vision insurance
Life insurance and disability benefits
Personal development, technology, and ergonomic Budgets
401K matching
Unlimited PTO, work from home flexibility, and parental leave
Transparent company culture and proactive communication via weekly all hands, lunch & learns, and monthly Founder AMAs
Senior team of experienced professionals highly motivated to solve tough problems and ship remarkable products
Don't want to apply yourself?
Our team writes your resume, applies for you, preps you for interviews, and negotiates your offer.