Ocrolus
At Ocrolus, we are 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. Thanks to advanced fraud detection and comprehensive cash‑flow and income analytics, our customers achieve greater efficiency in risk management and provide expanded access to credit—ultimately creating a more inclusive financial system. 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.
Summary As a Staff Machine Learning Engineer at Ocrolus, you will be a hands‑on technical leader who helps shape the future of our machine learning systems. This high‑impact role entails strategic responsibility in determining the company’s machine learning infrastructure, system architecture, and deployment protocols. You will collaborate across teams to design, scale, and refine models that power core features—from document understanding and OCR to complex NLP and decision intelligence. Responsibilities include designing scalable machine learning solutions, mentoring engineering personnel, and contributing to the technical and organizational advancement of the AI stack. The ideal candidate excels at addressing complex challenges, providing guidance to others, and spearheading large‑scale innovation.
What you’ll do
Spearhead the Design and Architecture : Lead the design and architecture of robust, scalable machine‑learning systems prepared for seamless production deployment.
Enhance Productivity : Design and implement machine‑learning infrastructure and tools that support multiple teams, streamlining workflows and improving organizational efficiency.
Solve Complex Infrastructure and ML Problems : Address cross‑team infrastructure … bottlenecks and inefficiencies across the organization.
Drive Model Evaluation and Optimization : Lead development of model evaluation frameworks, optimize data pipelines, and implement continuous training strategies to keep models accurate and up‑to‑date.
Apply ML Expertise to Fintech : Leverage state‑of‑the‑art machine‑learning models to automate and enhance document processing.
Collaborate Across Teams : Work closely with stakeholders from Product, Engineering, and Operations to align goals and coordinate execution.
Mentor and Guide Engineers : Provide mentorship to engineers in both ML and platform teams, fostering professional development and overall growth of Ocrolus’ technical expertise.
Contribute to Engineering Standards : Shape Ocrolus‑wide engineering standards, participate in design reviews, and promote best practices. Champion code quality, observability, and system reliability.
Align Technical Strategy with Business Goals : Understand how team and projects fit into larger business objectives, bring technical and non‑technical stakeholders together, suggest alternative solutions to customer problems, and support junior teammates.
Seek Process Improvements : Identify opportunities for process improvements within the team and collaborate with others to implement change.
Incorporate Company Values : Build policies and processes that support company culture and embed values into day‑to‑day decisions.
Qualifications
Bachelor’s or Master’s degree in Computer Science, Machine Learning, Applied Mathematics, or a related field; Ph.D. preferred.
7+ years of experience developing and deploying machine‑learning models in production environments with measurable impact.
Deep expertise in Python and at least one major ML framework (PyTorch, TensorFlow) for building, training, and optimizing deep learning models.
Proven experience applying ML techniques to computer vision, OCR, or NLP problems at scale and in latency‑sensitive contexts.
Strong understanding of ML system design, including model evaluation, A/B testing, continuous training, and production monitoring.
Solid engineering fundamentals—data structures, system design, version control, testing—and a history of writing clean, maintainable, scalable code.
Experience with modern infrastructure tools and cloud platforms (Docker, Kubernetes, Helm, AWS/GCP); comfortable navigating MLOps pipelines and deployment workflows.
Demonstrated ability to lead cross‑functional initiatives, influence architectural decisions, and communicate complex technical ideas to diverse stakeholders.
Experience mentoring engineers and fostering a culture of high standards, curiosity, and ownership.
Preferred Attributes
Familiarity with additional programming languages (Go, Java, or Scala) is a plus.
Experience operating within regulated industries such as fintech or healthtech.
Active contributor to open source, research publications, or the public tech community.
Champions a culture of humility, curiosity, and ownership in technical decision‑making.
Note The full‑time salary range for this role is around $200,000 + equity + benefits. Base pay offered may vary depending on job‑related knowledge, skills, experience, and market location.
Life at Ocrolus We’re a team of builders, thinkers, and problem solvers who care deeply about our mission—and each other. As a fast‑growing, remote‑first company, we offer an environment where you can grow your skills, take ownership of your work, and make a meaningful impact.
Our core values
Empathy
– Understand and serve with compassion.
Curiosity
– Explore new ideas and question the status quo.
Humility
– Listen, remain grounded, and stay open‑minded.
Ownership
– Love what you do, work hard, and deliver excellence.
We believe diverse perspectives drive better outcomes. That’s why we’re committed to fostering an inclusive workplace where everyone has a seat at the table, regardless of race, gender, gender identity, age, disability, national origin, or any other protected characteristic.
We look forward to building the future of lending together.
#J-18808-Ljbffr
Summary As a Staff Machine Learning Engineer at Ocrolus, you will be a hands‑on technical leader who helps shape the future of our machine learning systems. This high‑impact role entails strategic responsibility in determining the company’s machine learning infrastructure, system architecture, and deployment protocols. You will collaborate across teams to design, scale, and refine models that power core features—from document understanding and OCR to complex NLP and decision intelligence. Responsibilities include designing scalable machine learning solutions, mentoring engineering personnel, and contributing to the technical and organizational advancement of the AI stack. The ideal candidate excels at addressing complex challenges, providing guidance to others, and spearheading large‑scale innovation.
What you’ll do
Spearhead the Design and Architecture : Lead the design and architecture of robust, scalable machine‑learning systems prepared for seamless production deployment.
Enhance Productivity : Design and implement machine‑learning infrastructure and tools that support multiple teams, streamlining workflows and improving organizational efficiency.
Solve Complex Infrastructure and ML Problems : Address cross‑team infrastructure … bottlenecks and inefficiencies across the organization.
Drive Model Evaluation and Optimization : Lead development of model evaluation frameworks, optimize data pipelines, and implement continuous training strategies to keep models accurate and up‑to‑date.
Apply ML Expertise to Fintech : Leverage state‑of‑the‑art machine‑learning models to automate and enhance document processing.
Collaborate Across Teams : Work closely with stakeholders from Product, Engineering, and Operations to align goals and coordinate execution.
Mentor and Guide Engineers : Provide mentorship to engineers in both ML and platform teams, fostering professional development and overall growth of Ocrolus’ technical expertise.
Contribute to Engineering Standards : Shape Ocrolus‑wide engineering standards, participate in design reviews, and promote best practices. Champion code quality, observability, and system reliability.
Align Technical Strategy with Business Goals : Understand how team and projects fit into larger business objectives, bring technical and non‑technical stakeholders together, suggest alternative solutions to customer problems, and support junior teammates.
Seek Process Improvements : Identify opportunities for process improvements within the team and collaborate with others to implement change.
Incorporate Company Values : Build policies and processes that support company culture and embed values into day‑to‑day decisions.
Qualifications
Bachelor’s or Master’s degree in Computer Science, Machine Learning, Applied Mathematics, or a related field; Ph.D. preferred.
7+ years of experience developing and deploying machine‑learning models in production environments with measurable impact.
Deep expertise in Python and at least one major ML framework (PyTorch, TensorFlow) for building, training, and optimizing deep learning models.
Proven experience applying ML techniques to computer vision, OCR, or NLP problems at scale and in latency‑sensitive contexts.
Strong understanding of ML system design, including model evaluation, A/B testing, continuous training, and production monitoring.
Solid engineering fundamentals—data structures, system design, version control, testing—and a history of writing clean, maintainable, scalable code.
Experience with modern infrastructure tools and cloud platforms (Docker, Kubernetes, Helm, AWS/GCP); comfortable navigating MLOps pipelines and deployment workflows.
Demonstrated ability to lead cross‑functional initiatives, influence architectural decisions, and communicate complex technical ideas to diverse stakeholders.
Experience mentoring engineers and fostering a culture of high standards, curiosity, and ownership.
Preferred Attributes
Familiarity with additional programming languages (Go, Java, or Scala) is a plus.
Experience operating within regulated industries such as fintech or healthtech.
Active contributor to open source, research publications, or the public tech community.
Champions a culture of humility, curiosity, and ownership in technical decision‑making.
Note The full‑time salary range for this role is around $200,000 + equity + benefits. Base pay offered may vary depending on job‑related knowledge, skills, experience, and market location.
Life at Ocrolus We’re a team of builders, thinkers, and problem solvers who care deeply about our mission—and each other. As a fast‑growing, remote‑first company, we offer an environment where you can grow your skills, take ownership of your work, and make a meaningful impact.
Our core values
Empathy
– Understand and serve with compassion.
Curiosity
– Explore new ideas and question the status quo.
Humility
– Listen, remain grounded, and stay open‑minded.
Ownership
– Love what you do, work hard, and deliver excellence.
We believe diverse perspectives drive better outcomes. That’s why we’re committed to fostering an inclusive workplace where everyone has a seat at the table, regardless of race, gender, gender identity, age, disability, national origin, or any other protected characteristic.
We look forward to building the future of lending together.
#J-18808-Ljbffr