Lead Machine Learning Engineer

***This role is fully remote within the U.S. (occasional travel to meet teams or partners) with a preference for East Coast. To reduce spam, we're not posting it as remote.*** About Us: We are a forward-thinking mortgage technology company dedicated to evolving the mortgage industry. Our mission is to make homeownership more affordable. We accomplish our goals by focusing on outcomes, working with existing industry participants, and leveraging emerging technologies. Novaprime is backed by industry-leading institutions and investors and is partnered with some of the largest institutions in the mortgage industry. Job Description: We seek an exceptional and skilled Machine Learning Engineer to lead Novaprime's ML team. In this role, you will be pivotal in designing state-of-the-art ML products and developing core infrastructure that powers Novaprime's solutions. As part of this role, you will lead Novaprime's ML team and collaborate with stakeholders and our product organization to manage the team's roadmap and execution. You will focus on evaluating ML models and architectures, fine-tuning, integrating fully managed services, and scaling systems to meet enterprise demands. You will collaborate with the larger engineering organization to deliver efficient solutions from data ingestion and pre-processing to training, evaluation, deployment, and improvements. You are responsible for the team's delivery of efficient and reliable solutions, including models, implementation of best practices in MLOps, monitoring, automated pipelines, model reproducibility, and facilitating seamless model versioning and rollout. You are experienced enough to guide our machine learning strategy and own the end-to-end ML lifecycle, from ideation to production deployment, including debugging, iterating, and releasing new models. At the same time, you are excited to be hands-on and build solutions that help Novaprime realize our mission of making homeownership more affordable. Responsibilities: Develop and implement a technical strategy aligned with our business goals. Design and implement various ML algorithms, approaches, architectures, and models to achieve key business outcomes. Drive implementation and delivery of ML systems, including custom domain-specific and fully managed ML solutions. Drive development from concept to market by combining various technologies and collaborating with a cross-functional team. Lead implementation of ML platform and infrastructure to ensure optimal and scalable performance. Implement new technologies that yield competitive advantages. Assist engineers in their work and decision-making processes. Develop monitoring systems to ensure functionality and efficiency. Build quality assurance and data protection processes. Collaborate with product managers, designers, and other stakeholders to develop strategies and implement new products and features. Stay current with the latest technologies to maintain competitiveness and technological leadership in the market. Various engineering-related tasks which continue to progress the organization's mission. Requirements: B.S. in Computer Science or equivalent experience. 10+ years of industry experience. Knowledge of large-scale distributed application architecture, design, implementation and performance tuning. Experience with working with PyTorch, and the Python scientific stack (Numpy, Scikit-Learn, Pandas, etc). Experience with evaluating and launching open-source ML models. Experience with LLMs and automated prompt engineering. Experience with working with k8s and related technologies. Experience with one of the cloud platforms AWS/GCP/Azure. Experience with CI/CD tools like GitHub Actions, etc. Track record collaborating with product managers, designers, and engineers to deliver products and features to customers. Great written and verbal communication skills, sufficient for success in a remote and largely asynchronous work environment. Demonstrated capacity to clearly and concisely communicate about complex technical, architectural, and/or organizational problems and propose thorough iterative solutions. Positive and solution-oriented mindset. Exceptional working in a team environment as well as independently. Various tasks and responsibilities to further the organization's success. Desired Experience: 6+ years of experience with machine learning algorithms and tools, artificial intelligence, deep learning, or natural language processing. Leading ML teams. Running and scaling RAG in production environments. Experience with parallel GPU utilization. Experience with developing machine learning platforms, frameworks, and/or infrastructure for production-ready systems. Experience with designing production-ready domain data models for performant and scalable systems. Benefits: Competitive salary, equity, and benefits. Mostly remote work. Opportunity to make a difference for millions and their ability to be homeowners. We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. #J-18808-Ljbffr

Created: 2025-01-14