Top Machine Learning Jobs in Indianapolis, IN

The Senior Solutions Architect will support Commercial Sales, collaborating with customers on technical evaluations, expanding usage of Temporal, building demos, and managing multiple clients, while fostering strong technical relationships.

The Director of AI will lead AI and machine learning initiatives, develop AI architecture for humanoid robots, oversee production-ready AI systems, and manage team growth and budget.

Lead the advancement of embedding-based retrieval systems, focusing on multimodal models, model performance, and extensibility for various use cases.

The CEO will lead AiTomic's development, oversee strategy and partnerships, and drive AI innovation in nuclear power operations.

The Core Engineer will develop backend systems, utilize AI tools for code quality, and optimize application performance while collaborating closely with teams.

Lead a team optimizing backend systems for Netflix's Member Experience Pages. Focus on performance, scalability, architecture, and team growth while collaborating with various stakeholders.

The Data Scientist will develop predictive models, analyze geophysical data, and collaborate with geoscientists to enhance exploration programs, focusing on mineral deposits.

The Senior Machine Learning Engineer will design, prototype, build AI systems, evaluate ML models, and improve Vectara's AI Agents with a focus on reliability and performance.

The role involves building AI technologies for customer service, developing ML systems, and collaborating with cross-functional teams to enhance user experiences.

Lead a team of engineers to develop AI and data products for optimizing guest and host applications, ensuring delivery of high-quality machine learning initiatives.

Develop and prototype new generative models for Pinterest Canvas, oversee training data collection, mentor junior researchers, and publish findings.

As a Quantitative Researcher, you'll develop strategies using alternative datasets to improve investment decisions, design and backtest models, and collaborate across teams to scale research into quant products.

The Staff Analytics Engineer builds data workflows, ensures data integrity, resolves customer issues, and develops insights products, leveraging SQL and Python skills.

The Senior AI Engineer will develop AI-powered solutions to extract structured data from unstructured medical charts, focusing on efficiency, accuracy, and integration with real-world applications.

The Director/Senior Director of Client Services leads project management and implementation for clients, fostering client-vendor relationships and transforming business processes through technology. Responsible for team management, client education, and data analysis, ensuring optimal usage of Enterra's solutions.

The Solutions Architect for Workday design AI-ready solutions for HR systems, implement complex integrations, and partner with cross-functional teams to enhance employee experience and operational excellence.

The Senior Product Manager will lead the pricing and valuation engine, overseeing ML modeling, pricing systems, and improving valuation accuracy while managing cross-functional roadmaps and execution.

Lead the development of AI-powered tools and products, manage product roadmaps, collaborate cross-functionally, and drive innovation in media and advertising.

As a Senior Machine Learning Engineer on the Perception Team, you will define technology direction, architect solutions for autonomous vehicles, collaborate with team members, and mentor junior engineers, contributing to high-stakes projects in autonomous driving.

As a Senior Machine Learning Engineer, you'll build and deploy ML models for risk and fraud detection, leading technical efforts and collaborating cross-functionally.

The Data Scientist will analyze and model data related to ad-tier members, focusing on identity modeling and improving ad targeting capabilities, while collaborating with cross-functional teams.

The ML Engineer will work on RL frameworks, develop synthetic data engines, and maintain performance evaluations for a closed-loop drug discovery platform.

Lead the Discover engineering team to develop a recommendation engine for a new marketplace, focusing on machine learning systems and user experience.

The role involves building a recommendation engine, designing ML systems, making data-driven decisions, and collaborating with leadership to enhance user experiences.

Lead the strategic direction of data science at Mission Lane, innovating machine learning applications and managing a high-performing team to enhance financial outcomes.