As an AI/Machine Learning Engineer, you will lead the development and deployment of advanced machine learning models and AI solutions. You will collaborate with cross-functional teams to drive innovation and deliver impactful AI-driven products. You’ll apply AI/ML expertise to solve meaningful challenges in federal programs, driving innovation in healthcare, veterans’ services, and more.

A great candidate is excited to grow our use of machine learning, AI, and other sophisticated algorithms to build a better user experience. Design and implement machine learning models to power highly personalized experiences throughout the Raya app. Work in a high-impact environment with rapid development and product iteration. Contribute to core ML platform components for scalable model training, deployment, and productionization.

Lead development teams to ensure sprint commitments are met, fostering a collaborative environment for AI/ML exploration. Drive the design and implementation of AI solutions, establish AI testing and validation best practices, and provide clear direction on AI project scope. Mentor developers, improve delivery processes, and evaluate skills in recruiting interviews.

Were looking for a Lead Machine Learning Engineer to join our team of ML engineers and data scientists, helping to scale our product to millions of users, and working on some complex technical problems. You'll be tackling a range of challenges that will require analytical thinking and keen instincts, as well as an understanding of our domain and how our users behave.

Join the team to help transform the private markets, and work alongside a talented and collaborative team on a key product feature, bringing cutting-edge AI innovation with executive visibility and high impact. As an intern, you’ll have a hands-on role in designing, building, and testing new AI-driven product features contributing meaningfully to a product that’s reshaping how the private markets operate.

Design, develop, and deploy Agentic AI, helping build and iterate on a production agent architecture involving LLMs, RAG, and context/memory management. Develop and manage AI/ML infrastructure and lifecycle, contributing to the full AI/ML lifecycle from development to production. Collaborate within a cross-functional team to translate business requirements into ML solutions. Keep pace with research in machine learning, large language models, and cyber security.

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. You will lead Novaprime’s ML team and collaborate with stakeholders and our product organization to manage the team’s roadmap and execution.

We are seeking a skilled and experienced Senior Machine Learning Engineer to join our team. The successful candidate will design, develop, and implement innovative solutions to our customers' problems. The Senior ML Engineer will work closely with data engineers, product managers, and other stakeholders to create scalable, high-performance, reliable, and secure SaaS applications.

Bring AI solutions to our existing Web App, shipping full-stack AI projects end to end using pre-trained models. Build and integrate components for Ordio’s AI infrastructure, supporting production-level inference and fine-tuning. Write clean, efficient, and maintainable code for AI-driven applications, APIs, and user interfaces using best practices. Design and implement internal and external MCP Server, enabling interaction with services through chat-based user input. Develop and execute unit, integration, and system tests to ensure the reliability and robustness of AI solutions.

As an Applied AI Engineer, you’ll research and utilize established and state-of-the-art Gen AI and machine learning (ML) techniques to successfully deliver solutions to our customers. You’ll work directly with our customers to understand their business and technical needs, and design and deliver AI solutions, either by leveraging Snorkel Flow or developing custom approaches when needed.