Top Machine Learning Jobs in Las Vegas, NV

Leads the design, development, and deployment of scalable AI, generative AI, and machine learning solutions. Oversees data infrastructure, integration, data quality, and advanced analytics while managing client engagements and executive relationships. Drives business development, strategic direction, innovation, and AI-driven automation. Mentors teams, develops future leaders, and fosters collaboration, integrity, and client satisfaction across complex projects.

Develop software, pipelines, AI-powered tools, and performance metrics for autonomous vehicle systems. Analyze large datasets, evaluate autonomy-stack performance, ensure data quality, and deliver actionable insights. Define technical roadmaps, collaborate across perception, prediction, planning, controls, simulation, and validation teams, and provide technical leadership, documentation, mentoring, and architectural guidance.

Lead FranklinCovey’s research and measurement agenda, data product strategy, applied behavioral research, and thought leadership. Manage researchers, design rigorous studies, conduct statistical analyses, evaluate data fitness, develop benchmarks, and measure behavior change and business outcomes. Partner with Product, Technology, legal, sales, and marketing teams to translate research, AI, and analytical methods into data-driven products, personalized recommendations, and client insights. Ensure responsible data use, privacy, methodological rigor, and clear executive communication.

Owns Boostlingo’s sales enablement function, including onboarding, ramp programs, product certification, playbooks, training, coaching, launch readiness, sales technology, and performance measurement. The role partners with Sales, Product Marketing, Product, Engineering, Revenue Operations, and People teams to improve seller productivity, technical fluency, AI Interpreter adoption, win rates, and quota attainment.

Owns an assigned territory and manages the full enterprise sales cycle, including new-logo acquisition, upselling, cross-selling, pipeline development, quota attainment, lead generation, customer relationship growth, product demonstrations with Sales Engineers, channel partner collaboration, and accurate Salesforce documentation.

Leads security engineering teams and initiatives across federal enterprise environments. Designs and implements cloud, identity, network, application, workload, and data security controls; supports FedRAMP High authorization, ATO packages, continuous monitoring, risk remediation, and compliance. Provides technical leadership for Zero Trust architectures across hybrid and multi-cloud environments, mentors engineers, evaluates security gaps, and coordinates with cloud, infrastructure, DevSecOps, compliance, and operations teams.

Entry-level technical consulting role supporting intellectual property litigation. Responsibilities include source-code review, reverse engineering, network and data analysis, technical document review, proprietary tool development, and explaining complex computer science concepts to legal audiences. Associates support expert reports, depositions, trials, and client engagements while developing expertise in IP litigation and consulting. The seven-month program includes structured training and may lead to promotion to Consultant.

Participate in a seven-month technical consulting program focused on intellectual property litigation. Analyze source code, systems, network traffic, and technical documents; conduct reverse engineering and data analysis; develop investigative tools; support expert reports and testimony; and explain complex technical findings to legal and nontechnical audiences. Associates collaborate with senior consultants, receive training, work on confidential client matters, and travel to client sites as needed.

Leads IT audit and internal control programs covering ITGCs, application controls, security controls, SOX, MAR, SOC reviews, cloud infrastructure, data platforms, and business systems. Supervises auditors, reviews workpapers, coordinates with external auditors, evaluates findings and remediation, maintains control frameworks, and communicates technology risks to leadership. The role also partners with engineering, IT, InfoSec, and business stakeholders on risk management and audit readiness.

Own and modernize Apartment List’s B2C lifecycle marketing program across email, push, and SMS. Build segmentation, personalization, partnerships, cross-sell, measurement, forecasting, and multi-brand infrastructure. Lead experimentation, analytics, deliverability, and revenue performance while remaining hands-on with journeys, templates, audience logic, SQL, and debugging. Manage a two-person team and collaborate with Engineering, Product, Analytics, Design, Finance, and Iterable.

Develop AI-powered applications and prototypes using LLMs, prompt engineering, RAG, embeddings, vector databases, and AI APIs. Support data preprocessing, model evaluation, API integration, and research into emerging AI technologies. Collaborate with software and AI engineers to integrate generative AI features into web and backend applications while building practical skills in Python, machine learning, and modern LLM frameworks.

Leads Yahoo’s technology internal audit program, including risk assessment, audit planning, advisory projects, testing, workpaper review, reporting, and senior stakeholder presentations. Oversees audits covering cybersecurity, identity and access, cloud security, resilience, data governance, privacy, and AI. Develops auditors, directs co-source providers, enhances AI audit capabilities, and applies analytics and automation. Partners with Technology, Security, Privacy, Engineering, SOX, GRC, and external audit teams.

Provides senior functional and technical leadership for NetSuite and connected financial systems. Partners with Finance, Accounting, and technology teams to design processes, configure NetSuite, manage integrations, protect close-cycle continuity, support production incidents, implement controls, coordinate releases, and deliver testing and documentation. The role also leads automation initiatives, vendor engagement, solution lifecycle delivery, and mentorship while supporting accounting, compliance, reporting, and multi-entity financial operations.

Engineer and operate enterprise network observability systems using Splunk, OpenSearch, telemetry standards, SNMP, NetFlow, and machine learning. Build data pipelines, dashboards, alerts, integrations, and automation with Python and APIs. Support predictive analytics, anomaly detection, ITSM integration, troubleshooting, root-cause analysis, documentation, testing, and lifecycle implementation while collaborating with network operations and stakeholders.

Lead and grow a team of Conversation Designers to build and scale conversational AI experiences. Partner with Product, Engineering, Analytics, and ML teams to drive strategy, tooling, evaluation, and quality practices. Recruit and remove roadblocks, own strategic initiatives, and remain hands-on in designing, testing, and improving AI-driven conversational products.

Designs, builds, and deploys production AI agents and workflow automation systems. Responsibilities include agent orchestration, tool and API integration, retrieval, state management, permissions, safeguards, monitoring, testing, evaluation, and reliability improvements. The role partners with product and engineering teams to automate operational, patient coordination, and pharmacy workflows while maintaining healthcare-related privacy, authorization, auditability, and human approval controls.

Leads product marketing strategy for Bask Health’s AI, data, analytics, and automation capabilities. Develops positioning, messaging, launch strategies, competitive research, technical content, sales enablement, demonstrations, and customer education. Partners with engineering, AI, data, product, sales, and customer success teams to explain complex functionality accurately, establish responsible AI terminology, support adoption, and measure product marketing performance.

Lead the architecture and hands-on development of production AI capabilities across Bask Health’s platform. Build and deploy LLM-powered applications, intelligent assistants, automation, retrieval systems, and agentic workflows. Establish standards for evaluation, reliability, security, observability, privacy, and cost management. Collaborate with product and engineering teams to prioritize impactful AI initiatives, contribute code and prototypes, review designs, mentor engineers, and guide scalable AI infrastructure and integrations.

Develop positioning, messaging, and go-to-market initiatives for AI, data, analytics, and workflow automation products. Translate complex technical functionality into accurate customer communications, sales enablement, tutorials, launch materials, and adoption resources. Collaborate with product, engineering, AI, data, sales, and customer success teams; conduct customer and competitive research; address technical objections; coordinate launches; and measure messaging effectiveness, adoption, and customer feedback.

Build and ship reliable full-stack software for high-stakes hospital workflows. Own projects end-to-end across product, machine learning, data pipelines, cloud and on-prem infrastructure. Develop backend and frontend features, APIs, integrations, and database systems while collaborating with product and clinical users. Contribute to prototyping, testing, weekly enhancements, and team culture. The role is remote-first across Europe and the US, with international travel to hospitals required.

Implement Salesforce Agentforce and Einstein AI solutions, design AI-powered service and sales workflows, configure predictive analytics and recommendation engines, and deploy conversational virtual agents. The consultant will develop intelligent automation strategies, advise clients on AI governance and adoption, conduct workshops and capability assessments, and manage stakeholder relationships throughout Salesforce AI transformations.

Lead enterprise AI transformation and infrastructure optimization initiatives. Define AI strategy, oversee machine learning models and pipelines, integrate AI into cloud workflows, drive automation, and lead cross-functional AI and engineering teams, including agentic AI initiatives.

Leads product analytics by developing dashboards, defining KPIs, analyzing customer behavior, and delivering insights that guide product strategy and roadmap prioritization. Builds forecasts, business cases, and ROI analyses; partners cross-functionally with Product, Engineering, Customer Success, Sales, and leadership; and ensures accurate reporting and data governance. Supports predictive analytics and AI initiatives while communicating recommendations to stakeholders. This is a fully remote role requiring up to 20% travel.

Provides bioinformatics, scientific computing, statistical analysis, and programming support for NIH/NIAID research. Develops and maintains production pipelines for genomic, transcriptomic, proteomic, epigenetic, clinical, and single-cell data using HPC and potentially cloud infrastructure. Performs variant analysis, genome assembly, biological interpretation, experimental design, and workflow development, while contributing to publications, documentation, data dissemination, and scalable computational resources.

Build and deliver scalable web products using Node.js, TypeScript, Vue, Temporal, Kubernetes, MongoDB, and AWS. Own feature delivery, collaborate with engineering and product teams, interface with customers, provide technical leadership, and maintain secure, reliable, compliant systems. Responsibilities include designing REST APIs, optimizing NoSQL databases, applying testing practices, and improving deployment processes. Preferred experience includes web scraping, automation, ML integrations, serverless applications, infrastructure-as-code, pipeline development, and AI-assisted workflows.