Ocrolus

Machine Learning Engineer

• Spearhead the design and architecture of robust, scalable machine learning systems that are primed for seamless deployment into production.
• Design and implement essential machine learning infrastructure and tools that support multiple teams, streamlining workflows and improving efficiency across the organization
• Address complex infrastructure and machine learning challenges that span the organization. Analyze systems to identify and rectify bottlenecks, inefficiencies, and areas for improvement.
• Lead the development of model evaluation frameworks, optimize data pipelines, and implement continuous training strategies to ensure that models remain accurate and up-to-date.
• Leverage state-of-the-art machine learning models within the fintech domain to automate and enhance document processing.
• Work closely with stakeholders from Product, Engineering, and Operations to ensure that goals are aligned and that execution is coordinated and effective.
• Provide mentorship to engineers within both ML and platform teams, fostering their professional development and contributing to the overall growth of Ocrolus' technical expertise. Coach and influence others to improve company culture.
• Play an active role in shaping Ocrolus-wide engineering standards, participate in design reviews (RFCs/ADRs), and promote adherence to best practices. Champion Code Quality and Reliability: Be a vocal advocate for code quality, observability, and system reliability. This includes everything from implementing rigorous A/B testing to setting up real-time monitoring systems.
• Understand how their team and projects fit into the larger business goals. Bring together technical and nontechnical stakeholders towards common objectives, suggest alternative solutions to customer problems, and help teach and support more junior teammates.
• Look for opportunities for process improvements within their team and works with others to implement process changes.
• Find ways to incorporate company values into day-to-day decisions and have ideas on how to build policies/processes that support the improvement of company culture.

Staff Machine Learning Engineer

Account Executive

• Come build at the intersection of AI and fintech. At Ocrolus, we’re on a mission to help lenders automate workflows with confidence—streamlining how financial institutions evaluate borrowers and enabling faster, more accurate lending decisions.
• Our AI-powered data and analytics platform is trusted at scale, processing nearly one million credit applications every month across small business, mortgage, and consumer lending. By integrating state-of-the-art open- and closed-source AI models with our human-in-the-loop verification engine, Ocrolus captures data from financial documents with over 99% accuracy.
• Trusted by more than 400 customers—including industry leaders like Better Mortgage, Brex, Enova, Nova Credit, PayPal, Plaid, SoFi, and Square—Ocrolus stands at the forefront of AI innovation in fintech. Join us, and help redefine how the world’s most innovative lenders do business.
• Manage the entire sales cycle from prospecting to negotiation and close while articulating the right sales plays that create urgency and move opportunities to close
• Lead and direct cross-functional teams through varied stages of complex customer journeys
• Communicate and track status and unique requirements of each sales opportunity while adhering to management standards for sales reporting
• Train, mentor, and coach team members to support regional prospecting and sales activities
• Apply leading sales frameworks in a systematic approach to selling
• Create and deliver pervasive client presentations that align varied stakeholders critical to the decision making process
• Up to 25% domestic overnight travel; role requires being based on the West Coast

Staff Machine Learning Engineer

Enterprise Account Executive, Mortgage