Top Remote Machine Learning Jobs in Indianapolis, IN

The role involves building end-to-end modeling pipelines, developing models, delivering insights to stakeholders, and collaborating with a technical team in a fast-paced environment.

Lead design and implementation of enterprise-grade AI systems, architect AI infrastructure, and drive technical strategy for AI-powered products primarily for military applications.

Develop and optimize machine learning models for data extraction from tax documents, collaborate on software integration, and mentor junior team members.

Lead the development and execution of ML platform strategies, manage a high-performing team, and enhance 3D deep learning applications.

The Staff Platform Manager will define the strategy for post-transaction experiences related to suspensions, appeals, and account actions. Responsibilities include managing product vision, improving customer experience, mitigating risks, and collaborating across teams to develop effective enforcement strategies.

The Senior Product Manager will advance fraud detection capabilities, manage product lifecycles, develop requirements, and collaborate with engineering and data science teams.

The VP of AI will lead the integration of AI into products, drive strategy for AI initiatives, and ensure responsible implementation across the organization.

The role involves managing data to uncover insights, developing predictive models, and bridging clients with data intelligence within the context of evolving market research methodologies.

The AI Application Engineer will design and deploy AI systems, collaborate with teams, implement Generative AI solutions, and promote continuous learning in AI practices.

As a Senior Fullstack Engineer, you'll architect and build a high-concurrency auction engine, leveraging AI for enhanced user experiences and system reliability.

Lead the development and implementation of machine learning solutions, managing a team to drive strategic decisions and innovative business outcomes.

Lead design and execution of an Operational Readiness Verification (ORV) framework for AV operations: define safety gates, run pre-launch audits and red-team exercises, own safety cases and RCA processes, verify mitigations, and drive safety culture and reporting with clients and cross-functional teams.

Lead development of AI-powered solutions, architect large language models, capture domain knowledge, and deliver client-focused insights. Manage a team to integrate AI capabilities across products.

Lead the development of the Clinical Genomics Workbench, overseeing product strategy, migration, market intelligence, and global team management to enhance market presence and ensure successful platform transition.

As a Principal Product Manager, you will drive innovation in AI technology, reshape expert acquisition strategies, and collaborate with cross-functional teams to enhance product offerings.

The AI Product Sales Specialist drives sales execution for Snowflake's AI/ML workloads, ensuring customer engagement and meeting revenue targets through tailored sales strategies.

This role involves utilizing predictive analytics to develop customer retention strategies using advanced modeling techniques, data processing, and real-time interventions to improve user experience and business profitability.

The Senior Treasury Analyst will enhance Voleon's cash returns, manage liquidity, and support treasury initiatives, collaborating with finance and technical teams to drive operations and growth.

Lead the development of product safety strategies, focusing on risk assessment and compliance using AI technologies and methodologies while collaborating with cross-functional teams.

The Sales Engineer will serve as a technical lead, guiding clients on advanced data integration and analytics solutions in healthcare, impacting revenue and client engagement.

As a Research Scientist at Netflix, you will collaborate on machine learning projects to enhance content metadata and discovery, while operationalizing models.

The Director of Sales will lead enterprise infrastructure sales in healthcare, nurturing high-value prospects, and achieving revenue targets through strategic partnerships.

Develop core AI features for an AI-native product, including building LLM features, developing benchmarks, and overseeing the full lifecycle of development.

Lead the development of generative AI tools for fashion, guiding ML engineers, and implementing innovative AI systems and workflows.

As a Senior Machine Learning Engineer, you will enhance diffusion models, conduct research, collaborate on system implementations, and communicate findings effectively.