Top Machine Learning Jobs in Dayton, OH

Builds and maintains data structures, ETL scripts, dashboards, data visualizations, and automation routines. Performs data cleaning, validation, metadata governance, and basic AI/ML algorithm execution. Supports Agile sprint activities, pipeline documentation, database maintenance, and troubleshooting of ingestion and dashboard issues. Requires onsite work at Wright-Patterson AFB supporting NASIC.

Lead development and transition of advanced OPIR data-processing algorithms for infrared sensing and space-based missile warning systems. Evaluate pipelines, troubleshoot sensor and software issues, analyze data anomalies, and develop technical documentation and transition plans. Collaborate with NGA, Department of Defense, Intelligence Community, research organizations, and external agencies on advanced sensing technologies.

Leads and develops AI, machine learning, and advanced analytics solutions that deliver customer value. Translates requirements into deployable solutions, identifies and prioritizes projects, collaborates with functional and IT leaders, mentors junior team members, and supports model validation, reproducibility, deployment, and continuous improvement initiatives.

Own and improve Headway’s privacy program across HIPAA, 42 CFR Part 2, state privacy laws, individual rights, incidents, vendor governance, and AI use. Maintain controls, data maps, metrics, training, and operational workflows. Conduct product, vendor, and AI privacy assessments; manage rights requests and incident investigations; coordinate notifications and regulatory submissions; and translate complex requirements into practical guidance for cross-functional teams.

Own the strategy and roadmap for patient-provider search, retrieval, ranking, and marketplace matching. Lead experimentation, objective functions, evaluation, and ML platform foundations while partnering with ML engineers, data scientists, design, clinical teams, and executives. Improve successful, lasting care matches rather than optimizing only clicks or bookings. Balance patient access, provider growth, clinical quality, and payer priorities, while setting the standard for technically grounded product management.

Develop autonomy evaluation metrics, statistical and machine-learning analyses, dashboards, and pipelines for simulation and on-road autonomous vehicle testing. Analyze perception, prediction, and planning performance; identify anomalous behavior and critical scenarios; apply VLMs and LLMs where appropriate; and support release gating and safety decisions. The role requires production Python, C++ debugging, technical leadership, cross-functional collaboration, and rigorous software engineering practices.

Define architecture and metrics for autonomous driving evaluation, lead cross-functional integration across autonomy and simulation teams, develop statistical and machine learning methods, analyze large-scale time-series data, manage evaluation KPIs and release gates, and communicate safety and readiness insights through dashboards and stakeholder presentations.

Serves as the technical bridge between customers, Sales, and technology teams. Leads technical discovery, solution architecture, demonstrations, workshops, proofs of concept, and evaluations using HERE data, APIs, mapping, routing, spatial analytics, cloud, AI, and enterprise integration. Partners with Sales to qualify opportunities, reduce technical risk, develop proposals and reusable presales assets, and guide customers toward location-intelligence solutions.

Analyze malware, binary files, customer detection tickets, and machine learning detections to improve detection efficacy and reduce false positives. Review product detections, assess binary legitimacy, address internal detection questions, and provide insights to data science teams. The role collaborates with technical account managers, incident response teams, data scientists, and malware researchers. Required capabilities include malware analysis, reverse engineering, Python scripting, binary fundamentals, threat assessment, research methods, operating systems, and AI-assisted workflow improvement.

Develop and optimize scalable silicon crystal manufacturing processes from applied research through mass production. Conduct experiments, materials characterization, multiphysics simulations, statistical analysis, and machine learning applications to improve yield, quality, efficiency, and equipment intelligence. Provide technical oversight of crystal-growth equipment, lead manufacturing-floor initiatives, communicate process performance and project plans, and collaborate with operations, maintenance, technicians, and research teams in a matrixed environment.

Supports government-led evaluation, prototyping, integration, and assessment of emerging technologies for NASIC missions. Analyzes operational viability, risks, and benefits; contributes to technical reports and posture assessments; facilitates technology forums; and coordinates with engineers, analysts, and government leads. Requires systems integration experience, Kubernetes and modernization knowledge, technical writing ability, U.S. citizenship, and eligibility for TS/SCI clearance.

Supports the development and refinement of analytic workflows using large NASIC datasets in cloud and enterprise environments. Prepares and transforms data for AI and machine learning, performs quantitative and exploratory analysis, assists with basic modeling, documents processes and results, and collaborates with engineers and mission analysts. The role requires a bachelor’s degree, two years of related experience, U.S. citizenship, and the ability to obtain a TS/SCI clearance.

Guide Agile scrum teams and NASIC modernization efforts by managing mission requirements, developing enterprise and system architectures, designing secure cloud solutions, and integrating AI, machine learning, and advanced analytics. Coordinate architecture decisions, conduct trade studies and risk analyses, oversee technical staff, and brief senior leadership. The role requires supporting zero-trust initiatives and transitioning legacy capabilities into NASIC cloud environments.

Provides research engineering support for Foreign Material Exploitation through software, hardware, and complex-device reverse engineering. Integrates machine learning models and LLMs into engineering workflows, deploys updates through Git and CI/CD pipelines, supports multi-classification networks, develops systems architecture and integration plans, and advises on cross-domain security and Authority to Operate processes. The role requires collaboration with cybersecurity teams and compliance with DoD and Intelligence Community standards.

Develop, test, and integrate AI software for aerospace and industrial applications. Interns will use Python, JavaScript, and C++ to build AI solutions, evaluate data and algorithms, collaborate with machine learning and data engineers, monitor AI trends and regulations, and present progress to leadership and stakeholders.

Designs and maintains enterprise data architecture, models, databases, integrations, cloud platforms, governance frameworks, and AI-ready data solutions. Partners with engineers and business stakeholders to translate requirements into scalable technical designs. Establishes standards for security, reliability, performance, data quality, lineage, disaster recovery, and compliance. Supports reporting, business intelligence, analytics, machine learning, and enterprise data modernization initiatives using Microsoft Fabric, Azure, SQL Server, Azure SQL, Data Factory, warehouses, lakes, and lakehouses.

Design and lead the technical strategy for search across Vannevar’s products. Build and improve full-text, vector, and LLM-powered retrieval systems, optimizing latency, relevance, index quality, freshness, and performance. Collaborate with ML, product, design, and mission strategy teams to translate user needs into search innovations. Apply expertise in information retrieval, NLP, machine learning, indexing, ranking, query parsing, tokenization, vector search, and evaluation frameworks.

Provides technical project management and integration support for U.S. Space Force and NSIC initiatives. Responsibilities include stakeholder engagement, mission planning, task and schedule management, documentation control, governance, acquisition support, process improvement, digital engineering, modeling and simulation integration, data management, and coordination of decision packages. The role supports space and counter-space models, infrastructure planning, capability evaluation, and collaboration among leadership, technical teams, and mission stakeholders.

Leads multidisciplinary systems engineering for an airborne command-and-control program. Responsibilities include requirements development and allocation, systems architecture, technical baseline management, integration, verification and validation, technical planning, risk management, subcontractor requirements, technical reviews, and systems integration lab testing. The role troubleshoots complex hardware, software, network, communications, and test-system issues while mentoring engineers and coordinating cross-functional teams.

Lead Runpod’s Americas sales organization and revenue number across new business, expansion, and renewals. Manage and coach Account Executives and Account Managers, oversee forecasting and pipeline, lead complex enterprise deals and contract negotiations, build regional go-to-market strategy and sales playbooks, and convert product-led demand into revenue. Partner with Marketing, Product, Legal, and Finance while improving sales efficiency through AI and developing a remote-first team.

Own the end-to-end architecture, development, deployment, evaluation, and operations of AI and machine learning systems. Build predictive ordering models, agentic workflow copilots, retrieval and evaluation infrastructure, safety guardrails, and responsible AI practices. Prioritize AI initiatives based on business outcomes, establish model governance and production standards, advise product and engineering leadership, and mentor experienced contributors.

Own the strategy, roadmap, packaging, and go-to-market evolution of Pluralsight’s AI, Cloud, and Security learning solutions. Design blended learning programs, define expert perspectives, identify content and lab components, monitor market needs, and use customer and learner data to improve outcomes. Partner with Product, Sales, Marketing, Curriculum, Engineering, and Services teams, support strategic enterprise deals, manage solution benchmarks, and drive adoption, renewals, and revenue growth.

Develops and validates machine learning and statistical models for anti-money laundering, transaction monitoring, customer screening, and risk rating. The role evaluates AML data quality, integrates vendor solutions, maintains governance and regulatory documentation, leads model lifecycle quality control, and reports performance through management dashboards. It also supports AML risk assessments, audits, regulatory examinations, and cross-functional stakeholder coordination.

Two-year rotational program covering purchasing, supply chain management, new product introduction, logistics, fulfillment optimization, inventory forecasting, and operational data management. Responsibilities include vendor qualification, pricing negotiation, material movement coordination, engineering release management, fulfillment-center optimization, and enterprise data integrity improvements. Candidates need an operations, supply chain, MIS, or engineering degree, relevant internship or up to three years of experience, and U.S. work authorization without sponsorship.

Two-year rotational program covering purchasing, supply chain management, logistics, new product introduction, fulfillment optimization, inventory forecasting, and operational data management. The role includes vendor qualification, pricing negotiation, material movement coordination, fulfillment center optimization, and collaboration with technical teams to improve enterprise data integrity. Candidates need a relevant degree, an internship or up to three years of experience, U.S. work authorization without sponsorship, and availability to start in Dayton, Ohio.