Top Remote Machine Learning Jobs in Fayetteville, AR

Lead design and implementation of Headway's insurance systems (eligibility, pricing, matching, claims). Build data-intensive, ML-powered platforms and automation, mentor engineers, write high-impact code, and improve accuracy and reliability across state and payer complexity to scale insurance-covered therapy.

Lead a team of ML engineers to develop fraud detection models, defining strategies, driving model evolution, and ensuring effective integration with cross-functional teams.

You will tackle AI challenges, develop scalable software and collaborate with teams to enhance healthcare navigation using AI solutions.

Lead and transform the Fraud Intelligence Team into a high-impact function by improving operating models, QA, tooling, and metrics; build entry-level talent programs; connect labeling to measurable fraud prevention outcomes; deliver actionable insights to Product, R&D, Analytics, and GTM; and leverage AI and automation to increase productivity and business impact.

Partner with functional leaders to translate business strategy into people strategy. Own org design, performance management, compensation, talent development, engagement, and retention. Provide coaching on career pathing, change management, and sensitive employee issues. Use people data to generate insights and recommendations, build compliant HR policies, manage global employee relations, and collaborate with People Team COEs to deliver cohesive people programs at scale.

Serve as second-in-command for Coinbase Derivatives' Market Regulation Department, leading day-to-day regulatory compliance, managing exams and audits, advising on CFTC Core Principles, reviewing surveillance escalations and enforcement actions, and coordinating cross-functional regulatory workstreams to ensure the DCM meets obligations and resolves findings timely.

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.

Provide legal guidance on Rubrik's AI use and products, ensuring compliance with laws and contracts, drafting and negotiating AI terms, coordinating generative AI review processes, educating employees, and improving AI review controls and workflows across cross-functional teams.

Lead technical direction and deliver large-scale ML platform infrastructure including feature store, model serving, experimentation, and training pipelines. Drive architecture, mentor engineers, coordinate cross-team initiatives, resolve system-wide issues (latency, reliability, GPU utilization), and define safe ML deployment paths from registration through rollout, monitoring, and rollback.

Manage a team of data scientists to develop fraud detection models, lead planning and collaboration with leadership, and communicate outcomes effectively while maintaining strong business intuition and technical leadership.

Own the research-to-production pipeline: harden training/evaluation workflows, build packaging/deployment tooling, design release gates, optimize inference and serving for latency/throughput, establish benchmarking and validation, and instrument feedback from production to accelerate research iteration.

As a Senior Machine Learning Engineer, you will design and implement systems for ML and NLP, optimizing models and tools for Clover's healthcare solutions.

As a Senior Fullstack Engineer, you'll architect and build a high-concurrency auction engine, leveraging AI for enhanced user experiences and system reliability.

Designs and operates scalable data infrastructure, pipelines, backend services, and cloud platforms powering LLM, machine learning, analytics, and experimentation workflows. The role develops Python services, APIs, data models, retrieval-augmented generation capabilities, vector search, and production AI systems. Responsibilities include data quality, observability, security, Infrastructure as Code, CI/CD, architecture, documentation, cross-functional collaboration, technical leadership, and mentoring across PlayStation Studios.

Leads development, deployment, and scaling of AI and machine learning solutions across business units. Drives generative AI and LLM innovation, collaborates with cross-functional and global data science teams, and supports integration of AI tools across platforms. The role requires hands-on technical contribution, strategic leadership, experimentation, stakeholder communication, and adoption of best practices in data science and AI transformation.

Leads AI-enabled Finance transformation initiatives from roadmap development through implementation and adoption. The role analyzes Finance processes, identifies automation opportunities, documents requirements, coordinates cross-functional Technology and Finance teams, manages change and training, tracks ROI and KPIs, and supports governance, compliance, SOX controls, and system integration across enterprise applications.

Lead partner marketing with consulting and systems integrators to drive joint GTM plans, co-marketing programs, repeatable partner collateral, customer stories, partner communications, and measurable pipeline growth.

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.

Designs statistical analysis plans and validates machine learning models using rigorous performance, calibration, uncertainty, subgroup, fairness, and longitudinal analyses. Applies biostatistical methods to healthcare data, documents assumptions and limitations for auditability and regulatory readiness, and translates complex findings into clinically meaningful insights. Collaborates with engineering, machine learning, data, clinical, and product teams.

Manage privacy-by-design initiatives, including privacy impact assessments and machine learning privacy reviews. Partner with Product, Engineering, Data Science, Legal, and Security teams to document data flows, identify risks, define safeguards, and complete privacy approvals. Track multiple workstreams, manage documentation, monitor compliance and operational risks, report to stakeholders, and coordinate privacy incident triage. The role requires strong knowledge of global data protection laws, program management, technical communication, and cross-functional influence.

Leads technical strategy and product adoption for major Retail and CPG enterprise accounts as Databricks’ primary technical voice. Partners with account executives, guides customers through data and AI transformations, builds technical champions, aligns solutions to business strategies, and mentors team members. Requires extensive pre-sales, big data, cloud, data science, programming, and production data systems experience.

Designs and deploys AI/ML solutions from prototype through production for government clients. Responsibilities include generative AI using LLMs and RAG, intelligent classification, agentic frameworks, AI coding tools, legacy-system integration, and automated reporting. The role also establishes AI/ML roadmaps, scales adoption, communicates technical concepts to stakeholders, and mentors data scientists.

Early-to-mid career Product Manager to translate customer needs into product requirements for AI-driven scientific SaaS. Work cross-functionally with engineering, AI/ML, solutions, and commercial teams to prioritize backlog, run discovery, support launches, gather customer feedback, and define product metrics for customers in chemistry, manufacturing, and energy.

Lead product marketing for PolyAI's voice assistant products: define messaging and positioning, drive go-to-market strategy and enablement, build competitive intelligence, develop personas and sales collateral, run customer and market research, support revenue enablement, scale and lead the product marketing team, and act as an external spokesperson.

Sell ExtraHops network security analytics to U.S. Federal/Department of War customers by developing territory accounts, engaging senior federal decision-makers, driving new business and renewals, coordinating with resellers and engineers, delivering tailored demos, and executing strategic account plans to meet revenue targets.