Top Machine Learning Jobs in Cleveland, OH

Lead AMP's multidisciplinary engineering organization to define and execute technology vision and roadmap. Responsible for scaling teams across hardware, software, AI, and infrastructure; driving product development, quality systems, and reliable deployments; partnering with execs and cross-functional teams on budgets, prioritization, and metrics; recruiting and mentoring leaders; and balancing short-term delivery with long-term investments to create business value.

Lead product design for Fetch’s Receipt & Rewards experience, connecting receipt capture, account linking, recognition, matching, and rewards. Define design strategy for complex, AI-enabled systems; improve usability, accessibility, trust, and experience quality; and balance user needs, data quality, business goals, and technical constraints. Partner with Product, Engineering, Research, and Data Science, drive cross-functional alignment, shape multi-quarter initiatives, and mentor designers.

Designs, builds, scales, and operates distributed CI/CD services supporting millions of builds, tests, and releases. Develops code for Azure-based infrastructure spanning virtual machines, containers, and custom lab environments. Responsibilities include requirements analysis, architecture and design documentation, estimation, debugging, optimization, operational playbooks, on-call incident response, monitoring, reliability improvements, and mentoring engineers.

Leads the property insurance product roadmap for Prometheus, owning prioritization across underwriting, accumulation, and portfolio workflows. Builds and manages the Product team, translates carrier needs into precise requirements, validates releases in customer workflows, and drives adoption. Owns insurance model governance, including validation, documentation, change control, and AI-use policies. Requires deep property insurance, catastrophe modeling, geospatial, machine learning, and enterprise product experience.

The Commercial Legal Director will lead complex technology and commercial transactions, negotiate SaaS, licensing, partnership, marketing, and services agreements, and develop scalable legal contracting standards. The role advises teams on AI, intellectual property, privacy, security, and regulatory issues; improves contracting workflows using Ironclad and AI-enabled tools; and partners with senior stakeholders across product, engineering, finance, marketing, and people operations.

Own analytics for Root’s Customer Experience domain and policyholder retention. Develop metrics, analytical frameworks, experimentation systems, and strategic recommendations. Partner cross-functionally with Product, Engineering, Data Science, and Operations to shape roadmaps, evaluate customer initiatives, quantify business impact, and influence senior leadership decisions through rigorous analysis and clear communication.

Build and scale Pulse’s technology partner ecosystem by recruiting and signing partners, structuring integrations and commercial agreements, developing joint go-to-market and co-sell programs, and driving partner-sourced pipeline, revenue, and API usage. The role also manages partner onboarding, enablement, deal attribution, forecasting, technical validation, and feedback to product and engineering teams.

Lead and grow a global engineering team building endpoint visibility, prevention, and on-device ML across Windows, macOS, and Linux. Own roadmap and delivery, direct model development and telemetry, drive cross-platform protection parity, coordinate with product and partner teams, and represent the team externally through research and conferences.

Own the strategy, roadmap, and delivery of AI-powered capabilities across Mapbox Maps. Partner with engineering, customers, and cross-functional teams to identify use cases, prioritize development, validate solutions, and launch products. Manage pricing and packaging, sales enablement, marketing, trials, and partnerships while driving customer adoption, business growth, and scalable experiences for developers and end users.

Own the platform powering Airbnb’s AI Assistant, including request routing, knowledge retrieval, capabilities, actions, and evaluation. Set product strategy, define resolution and quality standards, analyze production data, diagnose system failures, and guide engineering, data science, policy, and knowledge partners. Lead generative AI launches, safety and readiness reviews, LLM evaluation systems, calibration, and certification while aligning cross-functional teams and communicating decisions to executives.

Owns the intelligence platform roadmap for enterprise healthcare engagement, including decisioning, orchestration, integrations, interoperability, identity and consent management, and scalable deployment. The role defines strategy and requirements, prioritizes platform investments, leads partner integrations, establishes success metrics, and coordinates Engineering, AI/ML, Data Science, Security, Design, and client teams. It also embeds healthcare compliance, security, and responsible AI throughout the product lifecycle.

Own the enterprise AI strategy, roadmap, governance, investment priorities, and measurement framework. Identify and prototype high-value AI use cases, guide pilots into production, establish responsible-AI standards for sensitive data, and communicate outcomes to executives. Build adoption through enablement and reusable practices while coordinating technology, business, legal, security, data, and vendor partners. Lead the emerging AI strategy function and hold teams accountable for delivery and value realization.

Advise Product, Engineering, Security, and business teams on software, SaaS, cloud, privacy, cybersecurity, AI, intellectual property, and emerging technology regulations. Guide products throughout their lifecycle, assess legal and regulatory risks, draft agreements and privacy documentation, support privacy-by-design, monitor global regulations, and develop scalable legal processes, playbooks, policies, and training.

Develop and deploy statistical and machine learning models for credit risk, delinquency, defaults, loan losses, underwriting, and risk-based pricing. Analyze credit bureau, alternative, and loan performance data; build production-ready analytical pipelines; monitor model performance; and address data anomalies. Lead complex initiatives, mentor colleagues, document methodologies, and incorporate model governance, fair lending, privacy, and responsible AI considerations while partnering with Credit Risk, Product, Engineering, and Finance.

Drive AI-enabled product strategy and execution by identifying customer opportunities, defining requirements, and partnering with engineering, design, data, sales, marketing, and customers. Lead development of products using LLMs, generative AI, RAG, and intelligent agents; validate roadmap priorities, communicate product vision, support launches, and improve feature adoption. Apply AI tools to accelerate product specifications, workflows, and software delivery.

Leads revenue, go-to-market execution, forecasting, and organizational growth for strategic enterprise accounts. Builds and manages sales leadership and enterprise account teams, drives AI-focused value selling, oversees complex negotiations, and develops Fortune 500 and Global 2000 relationships. The role partners cross-functionally on customer expansion, product strategy, marketing, customer success, hiring, budgeting, and operational planning. Requires extensive enterprise SaaS sales leadership, experience with developer tools or cloud infrastructure, AI solution expertise, and executive-level engagement.

Designs, implements, and maintains cloud security controls across Microsoft 365, GCC High, Azure, AWS, and hybrid environments. Leads cloud and AI security architecture, threat modeling, infrastructure-as-code automation, security testing, posture management, and incident support. Develops secure patterns for generative AI, machine learning, copilots, agents, and CUI workloads. Translates CMMC, NIST, DFARS, ITAR, ISO 27001, GDPR, and related requirements into technical controls, evidence, and risk mitigations while mentoring engineers and guiding cross-functional teams.

Implements and maintains cloud security controls across Microsoft 365 GCC High, Azure, AWS, and hybrid environments. Administers cloud security platforms, integrates telemetry, supports vulnerability remediation, and validates controls against CMMC, NIST, DFARS, ITAR, ISO 27001, and other requirements. Secures generative AI, machine-learning, copilot, RAG, and agentic systems through access controls, sandboxing, logging, and execution safeguards. Performs risk assessments, control testing, audit evidence collection, SOC escalation support, automation, documentation, and occasional off-hours incident support.

Leads enterprise healthcare interoperability strategy, operations, connectivity, and strategic partnerships. Establishes operating models, roadmaps, KPIs, governance, and partner ecosystems across EHRs, HIEs, QHINs, payers, providers, and data networks. Translates regulatory and technical requirements into scalable capabilities, supports product and commercial growth, oversees investments and agreements, and builds high-performing teams. Requires executive leadership in healthcare data exchange, interoperability standards, regulatory strategy, operations, partnerships, and technology commercialization.

Designs end-to-end architectures and high-level designs for web security products and features, spanning configuration, reporting, runtime systems, analytics, and attack detection. Collaborates with product management and cross-functional teams to define requirements, guides engineering implementation, presents designs, and contributes security product expertise and technical roadmap direction.

Leads strategy, roadmap, development, and lifecycle management for IoT- and AI-enabled manufacturing products. Partners with engineering, R&D, data science, marketing, sales, customers, and global stakeholders to integrate sensors, actuators, cloud platforms, machine learning, and computer vision. Drives predictive maintenance, quality automation, process optimization, security compliance, market analysis, and customer-centric product improvements.

Develop technical AI and data solutions for aerospace engineering applications. Responsibilities include designing architectures, building proof-of-concepts, coding and debugging applications, developing machine learning systems, presenting solutions to stakeholders, and shipping cloud-based products to production. The intern will gain experience with data engineering, cloud platforms, databases, web design, AI technologies, and numerical methods while collaborating across teams.

Develop and demonstrate AI and data solutions for aerospace engineering projects. Responsibilities include designing architectures, building proof-of-concepts and machine learning systems, writing code, creating demos, supporting cloud and data engineering initiatives, and delivering production-ready solutions. The intern will collaborate cross-functionally, participate in design thinking, gain mentorship, and work on real-world projects using technologies such as Python, cloud platforms, machine learning, LLMs, and computer vision.

Leads customer engagements and large-scale analytics projects from inception through delivery, ensuring measurable business value, quality, budgets, and timelines. Builds customer relationships, translates needs into analytics solutions, supports renewals and expansions, and coordinates with product, engineering, and data science teams. Also supports solution architecture, pre-sales demonstrations, proof-of-concept implementations, technical use-case development, and customer conferences. Presents complex insights to technical and nontechnical stakeholders.

Lead CluePoints’ alliance and channel strategy across technology partners, systems integrators, consultancies, and regional resellers. Build partner-sourced revenue, develop channel programs, enable partners, manage complex commercial relationships, and collaborate with Sales, Marketing, Product, and Services. The role will establish partnerships in markets including Japan, India, and Europe, while eventually building and leading a partnerships team.