Top Machine Learning Jobs in Dayton, OH

As a Senior Software Engineer, you will create data pipelines for training and evaluating Waabi's autonomous platform, ensuring quality code and collaborating with a multidisciplinary team.

This role involves leading a perception team in developing algorithms for autonomous driving systems, supervising team members, and conducting research to enhance perception capabilities.

Design and implement machine learning models to solve business problems, analyze data for insights, and optimize model performance.

Wealthsimple is seeking experienced Canadian leaders abroad in Engineering, Product & Design, Data & Machine Learning, Finance & Strategy, and Leadership roles to help build impactful financial tools in Canada.

Drive and execute the AI/ML strategy at 6sense, leading teams in data science and ML engineering to develop innovative AI-native products and solutions, while fostering partnerships and thought leadership in the industry.

The role includes developing B2B marketing strategies, collaborating with sales, creating targeted materials, and conducting market research to support growth.

Lead a team of Data and ML engineers, develop ML systems, collaborate on AI solutions, mentor staff, and operationalize ML processes.

The DeFi Researcher will lead client engagements, perform research on DeFi mechanisms, develop predictive models, and publish insights while managing a team to ensure client success.

Lead the vision and strategy for ML personalization, enhancing user experience through recommendation systems and data-driven insights; drive product outcomes and collaboration across teams.

Lead the implementation of AI-driven supply chain solutions, collaborating with clients to enhance their business processes and ensure seamless technology integration.

The Machine Learning Research Scientist will develop algorithms and integrate them into sensor systems for remote sensing applications, collaborating with a technical team to improve target recognition systems using AI/ML tools.

Lead MLOps team to build scalable infrastructure for 3D deep learning, drive ML roadmap execution, and collaborate cross-functionally to enhance ML pipelines.

The R&D Intern will work on NLP projects, develop algorithms, write academic papers, and collaborate with researchers on novel solutions.

Responsible for developing product strategies, collaborating with cross-functional teams, conducting research for product opportunities, and ensuring shipment of product features quickly.

Lead strategic growth and sales efforts in enterprise SaaS for identity and fraud solutions across financial services verticals.

Drive enterprise sales growth across emerging verticals, manage full-cycle sales, and build relationships with C-level stakeholders at innovative companies.

As Government Affairs Manager, you'll drive advocacy strategy, engage with policymakers, and align internal teams on public policy issues affecting identity and technology.

The Principal Partner Marketing Manager will lead strategic co-marketing initiatives, develop joint marketing plans, execute integrated campaigns, enable field teams, and collaborate cross-functionally to drive awareness, demand, and revenue growth through partnership with Microsoft.

The Program Manager will oversee a large-scale social impact program, managing project timelines, deliverables, and collaborations with internal and external partners to drive impact and operational excellence.

Design, build, and improve ML and generative AI solutions for healthcare. Collaborate across teams, lead AI initiatives, and mentor junior members.

Analyze content performance, influence product roadmap, manage content strategies, classify data, and collaborate with engineering on AI and ML initiatives.

The Senior AI Engineer will build a platform enabling users to create intelligent agents, focusing on multi-agent frameworks and orchestration of LLMs.

Lead the Agentic AI Pod to develop AI solutions for event marketers, creating strategies and innovative interaction paradigms while ensuring standard practices in AI implementation.

Lead the IRS Development program by managing IT systems and implementing technology advancements that enhance operational efficiency and compliance.

Lead a team of ML engineers to develop advanced personalization systems, ensuring technical excellence, system reliability, and effective project delivery while mentoring engineers.