Top Remote Machine Learning Jobs in Raleigh, NC

As a Data Scientist, you will develop algorithms, collaborate on product requirements, and communicate data-driven insights, while enhancing product offerings and delivering actionable insights.

The Senior Data Scientist will analyze data to drive product strategy, optimize performance, and support product launches, collaborating with cross-functional teams.

The Senior Product Manager will oversee the strategy and development of telematics data products, manage cross-functional teams, and ensure product viability and market alignment through customer insights and technical fluency.

The Senior Staff Machine Learning Scientist will lead research initiatives in computer vision and multimodal understanding, develop novel models, and translate research into practical applications while mentoring team members.

Lead the Data + ML Platform team to design, build, and operate scalable data and MLOps infrastructure. Drive platform strategy, enable ML experimentation-to-production workflows (model registry, feature stores, drift monitoring, experiment tracking), modernize streaming and batch pipelines, and scale the team while partnering cross-functionally to deliver measurable outcomes.

The Staff Machine Learning Engineer will design and build scalable ML systems, mentor engineers, and drive AI strategy at SailPoint, focusing on AI-powered identity security solutions.

The Lead AI/ML Engineer will develop AI and ML strategies in healthcare, manage teams, and ensure quality delivery of AI solutions.

Develop ML/RL models and infrastructure for AV simulations, optimize training loops, and support project timelines in autonomous vehicle tech.

The Senior Machine Learning Engineer will develop ML APIs, build data pipelines, and collaborate across teams to enhance ML models and applications.

The Machine Learning Engineer develops production ML algorithms and recommendation systems, collaborates with teams, and optimizes user experiences.

Build and maintain an ML feature platform: backend systems for feature creation, exploration, serving, data storage and availability, and offline backfilling. Deliver reliable, scalable, well-tested solutions that enable MLEs, analysts, and decisioning teams; debug large codebases and collaborate across engineering to meet availability and latency goals.

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.

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.

Lead product initiatives for football data analytics and AI experiences: define business cases, understand customer workflows, drive cross-functional squads, own in-product onboarding and customer success, and iterate quickly to deliver measurable outcomes like revenue and retention.

Lead product discovery, prioritize roadmaps, and deliver football data analytics and AI features. Work with design, engineering, analytics, and former NFL experts to build, onboard, and iterate products that drive revenue, retention, and customer success in a fast-paced startup environment.