Top Remote Machine Learning Jobs in Louisville, KY

Own the upper-funnel global DTC experience for ouraring.com, define roadmap and run high-velocity A/B experimentation, ship AI-powered personalization, partner cross-functionally to drive conversion, revenue, and localized market experiences.

Lead vision, strategy, and execution for Alkami's marketing products. Define roadmap, embed AI-driven personalization and audience intelligence, partner cross-functionally to drive adoption and revenue, recruit and develop product managers, and deliver scalable SaaS marketing and analytics solutions for financial institutions.

Lead cross-functional teams to design, build, and maintain technical applications and data services for health services research, AI research, and precision medicine. Gather customer requirements, define product roadmaps, oversee build/test/validate/iterate cycles, measure outcomes, and manage analytic products and data architecture in cloud/big-data environments.

Senior leader driving enterprise transformation through end-to-end M&A integration and an Integration Management Office, building AI- and analytics-driven offerings, leading VP-level client delivery, structuring executive decisions, and communicating recommendations to C-level stakeholders.

Design and lead end-to-end AI solution architectures, ensuring scalability, security, and compliance. Translate business and regulatory requirements into technical designs, evaluate tools/platforms, document architecture standards, coordinate technical teams, and support deployment and ongoing improvements.

Lead product analytics to improve user growth, engagement, retention, and revenue. Design and analyze A/B and multivariate experiments, perform funnel/cohort analyses, maintain KPIs and dashboards, ensure event tracking, leverage ML and AI tools for advanced analyses, and translate insights into product recommendations across cross-functional teams.

Lead product vision and roadmaps for a global Library GovTech product. Define AI-enabled features, prioritize requirements, oversee product lifecycle, collaborate with engineering, design, and commercial teams, run customer research, manage launches, and use data to drive decisions and mitigate risks.

Lead complex, cross-functional AI programs end-to-end: translate strategy into integrated plans, drive multi-team execution, mitigate risks (data, model, compliance), apply ML lifecycle practices, use Agile/kanban methods, manage budgets/vendors, communicate to senior stakeholders, and mentor other program managers to improve AI program standards.

Lead global Product Management and Product Marketing to define vision, strategy, and roadmaps for Digital.ai's AI-powered DevSecOps platform. Drive messaging, GTM, customer advisory engagement, competitive positioning, and cross-functional alignment with Sales, Engineering, and Marketing to deliver enterprise solutions for testing, security, governance, and agentic software development. Hire, mentor, and scale a world-class team and represent the company with customers, analysts, and industry events. Travel up to 25% may be required.

Source, engage, and qualify technical candidates using LinkedIn, GitHub, X‑Ray, and other tools. Build pipelines for engineering and technical leadership roles, run outreach campaigns, perform initial screening, document candidate details in ATS/CRM, and partner with recruiters to meet client hiring timelines while improving sourcing strategies.

Lead horizon scanning and external intelligence to identify AI and disruptive tech opportunities for R&D. Translate trends into actionable briefs, design and run pilots with stage-gates, and scale successful capabilities into production. Influence senior leadership with strategic foresight, build external partnerships, and embed a future-back innovation culture across cross-functional teams to measurably improve R&D outcomes.

Lead strategy and delivery for an AI-powered claims decision-support and auto-adjudication platform. Define vision and roadmap, manage a team of product managers, partner with business, engineering, and data science, and drive adoption, impact measurement, and executive-level communication across a complex, matrixed enterprise.

The Research Engineer will build training infrastructure and reward pipelines, fine-tune models, bridge RL with LLMs, run fast experiments, communicate findings, and collaborate with the research team at Firecrawl.

Own and scale the customer entry-to-purchase lifecycle: design acquisition journeys, build and optimize welcome/abandon/lead conversion automations, implement personalization and gamification, partner cross-functionally, steward list health and deliverability, and run A/B and multivariate testing to improve conversion and engagement metrics.

Support configuration, delivery, and integrity of proctored exams and related systems. Manage exam lifecycles, incidents, reporting, integrations (APIs/SSO), and provide tiered technical support. Contribute to content, psychometric analysis, and AI-assisted initiatives while maintaining documentation, access controls, and audit trails.

Lead and grow Jerry's organic presence on Reddit, Quora, YouTube, and TikTok. Develop community playbooks, scale authentic engagement using AI, grow subreddits, collaborate with Growth and Content, and measure sentiment, share of voice, referral traffic, and LLM citation.

Own Jerry.ai's organic presence on Reddit, Quora, TikTok and YouTube: grow communities, develop channel-specific playbooks, scale authentic content (using AI where helpful), collaborate with Growth and Content, and measure sentiment, share of voice, referral traffic and LLM citations.

Design, architect, and implement scalable, highly available software across digital channels. Participate in agile ceremonies, write and review code, create engineering specifications and user stories, mentor junior engineers, and drive technical execution and system architecture decisions using modern languages and cloud platforms.

Lead Jerry's organic presence across Reddit, Quora, YouTube, and TikTok. Build community playbooks, grow subreddits, scale authentic content and engagement (using AI where helpful), align with Growth and Content, and measure sentiment, share of voice, referral traffic, and LLM citation.

Write and maintain developer-focused documentation (guides, API/client references, walkthroughs, sample apps). Improve developer portal information architecture, collaborate with engineering/product/customer success, and use qualitative and quantitative feedback to iterate and maintain docs.

Lead sales of Akamai's enterprise security portfolio across assigned Midwest accounts, develop and manage pipeline, position Zero Trust architectures, collaborate with internal security engineers and researchers, engage C-level stakeholders, and close new and expansion business.

Lead a team of safety engineers to define and execute AV safety strategy across development, simulation, testing, and deployment. Apply UL4600/ISO standards, develop safety cases, set safety metrics (SPI), manage safety plans and artifacts, train engineers, and coordinate with partners and stakeholders to validate ML models and ADS integration for safe public-road operation.

Advise clients on antitrust eDiscovery compliance using machine learning and generative AI. Build and validate TAR/AI models (Epiq AI, Relativity, Reveal, Brainspace), craft LLM prompts, draft defensible protocols, train/transfer workflows to review teams, and support client-facing, pre-sales, and thought-leadership activities. Must manage multiple projects and meet deadline-driven schedules.

Lead technical pre-sales for large Oil, Gas & Energy accounts, define and implement Databricks-based data and ML/AI strategies, build technical champions, mentor teammates, and drive enterprise adoption through technical leadership and value selling.

Design, build, and deploy AI-driven content systems (TMS/CMS/automation) for technical publications. Improve documentation workflows, support DITA/XML and FrameMaker publishing, develop Python scripts, implement AI/NLP and translation automation, and optimize translation memory and analytics in a regulated life sciences environment.