Top AI & Machine Learning Jobs

Own and deliver high-value AI use cases end-to-end by embedding in business workflows, partnering with AI engineering pods, ensuring integrations (SAP, Salesforce, Databricks, Distyl), driving adoption, measuring business outcomes, and enforcing Responsible AI, security, and governance standards.

Leads OCC’s AI transformation agenda by identifying business opportunities, building prioritized AI roadmaps, and owning use cases from problem definition through adoption. Translates business needs into technical requirements, evaluates AI vendors and feasibility, supports governed citizen-led development, and partners with CTO engineering teams. The role also drives AI adoption, monitors outcomes and risks, supports portfolio reporting, and advises stakeholders on AI architecture, governance, and operating-model transformation in regulated capital-markets environments.

Analyze and evaluate machine learning algorithms, develop advanced algorithms for modeling, and collaboratively transition them to software applications, while engaging with stakeholders and researching innovative solutions.

The Senior Staff AI Builder will lead multi-squad technical areas, enhance AI strategies, mentor builders, and address systemic issues in healthcare communications.

The Senior Data Scientist will analyze data to drive product strategy, optimize performance, and support product launches, collaborating with cross-functional teams.

As an AI Engineer, you will develop and optimize AI systems for legal tasks, work on integrating models, and establish evaluation frameworks to enhance decision-making capabilities in complex legal workflows.

As a Senior Data Scientist, you'll develop fraud detection models, perform detailed analyses, and work closely with teams to drive product innovation and business outcomes.

Develop ML and multimodal AI systems that integrate neurophysiological, behavioral, and sensor data for cognitive state estimation and decision support. Build algorithms and prototypes, apply cognitive science to improve explainability and human-AI collaboration, contribute to proposals/publications, and demonstrate capabilities for mission-driven R&D.

Lead and grow an Applied AI engineering squad to design, build, and ship GenAI-powered features across Copia's products. Define strategy and roadmap, oversee architecture (frontend, backend, APIs, LLM integration, RAG), ensure reliability and operational quality, mentor engineers, manage hiring and performance, and promote responsible AI practices in a safety-critical domain.

Develop and prototype novel diffusion and generative learning algorithms for Large Tabular Models. Design efficient training methods, representation learning techniques, benchmarks, and collaborate with academic and engineering teams to translate research into production.