Ocrolus · 15 hours ago
Staff Machine Learning Engineer
United States
Full-time
Remote
Senior Level, Lead/Staff
$200K/yr - $200K/yr
7+ years expOcrolus is a fintech company focused on automating workflows for lenders through AI-powered data and analytics. As a Staff Machine Learning Engineer, you will lead the design and architecture of machine learning systems, collaborate across teams, and mentor engineers while driving innovation in the fintech domain.
Artificial Intelligence (AI)LendingFinanceBankingFinTechCreditFinancial ServicesMortgage
Responsibilities
Spearhead the Design and Architecture : Lead the design and architecture of robust, scalable machine learning systems that are primed for seamless deployment into production
Enhance Productivity : Design and implement essential machine learning infrastructure and tools that support multiple teams, streamlining workflows and improving efficiency across the organization
Solve Complex Infrastructure and ML Problems : Address complex infrastructure and machine learning challenges that span the organization. Analyze systems to identify and rectify bottlenecks, inefficiencies, and areas for improvement
Drive Model Evaluation and Optimization : 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
Apply ML Expertise to Fintech : Leverage state-of-the-art machine learning models within the fintech domain to automate and enhance document processing
Collaborate Across Teams : Work closely with stakeholders from Product, Engineering, and Operations to ensure that goals are aligned and that execution is coordinated and effective
Mentor and Guide Engineers : 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
Contribute to Engineering Standards: 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
Qualification
Required
Bachelor's or Master's degree in Computer Science, Machine Learning, Applied Mathematics, or a related technical field; PhD preferred
7+ years of experience developing and deploying machine learning models in production environments, with a focus on real-world applications and measurable impact
Deep expertise in Python and at least one major ML framework (e.g., PyTorch, TensorFlow); strong proficiency in building, training, and optimizing deep learning models
Proven experience in applying ML techniques to computer vision, OCR, or NLP problems, ideally at scale and in latency-sensitive environments
Strong understanding of ML system design, including model evaluation, A/B testing, continuous training, and monitoring in production
Solid engineering fundamentals — data structures, system design, version control, and testing — with a history of writing clean, maintainable, and 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
Working familiarity with additional programming languages (e.g., Go, Java, or Scala) is a plus
Experience operating within regulated industries (fintech, healthtech, etc.)
Active contributor to open source, research publications, or public tech community
Champions a culture of humility, curiosity, and ownership in technical decision-making
Benefits
Equity
Benefits
Company
Ocrolus
Ocrolus is an AI-powered data and analytics platform that enables faster and more accurate financial decision-making.
201-500 employees
H1B Sponsorship
Ocrolus has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1)
2024 (1)
2023 (3)
2022 (4)
2021 (5)
2020 (6)
Funding
Current Stage
Growth StageTotal Funding
$126.97MKey Investors
Fin CapitalFinTech Collective,QED InvestorsOak HC/FT
2021-09-22Series C· $80M
2020-08-25Series B· $13.47M
2019-06-25Series B· $24M
Leadership Team
Sam Bobley
Co-Founder and CEO
Ajay Shrivastava
Chief Operating Officer (Ocrolus) & Country Head (India)
Recent News
HousingWire.com
2025-11-01
HousingWire.com
2025-11-01
Company data provided by crunchbase