Top Machine Learning Jobs in Las Vegas, NV

The Senior Data Engineer will develop real-time streaming data pipelines for pricing algorithms and machine learning models, ensuring low-latency data delivery and system reliability. Responsibilities include collaborating with other teams, defining architectural standards, and mentoring junior engineers.

Partner with Membership to build data pipelines, ensure membership data quality, and develop predictive models (churn, retention, LTV). Design and analyze experiments, create dashboards, and collaborate with Marketing, Finance, and Product to optimize pricing, offers, and lifecycle programs.

Lead design and delivery of generative AI features end-to-end, prototype and productionize early-stage AI systems, set technical direction, mentor engineers, and collaborate with product and design to drive measurable product impact.

Drive measurement, causal inference, and experimentation to optimize content promotion and personalization. Build robust metrics, partner with product and engineering, surface discovery opportunities, and independently deliver high-impact analytics and ML solutions.

Design, implement, and optimize scaled lifecycle campaigns across email and in-product channels to drive activation, revenue, retention, and cross-sell. Use marketing automation, behavioral data, and ML techniques to personalize experiences, analyze performance, and collaborate across growth, product, sales, and data teams.

The role includes developing B2B marketing strategies, collaborating with sales, creating targeted materials, and conducting market research to support growth.

Lead the development of ranking and personalization strategies for Yahoo News and Homepage, leveraging machine learning to enhance user engagement and drive monetization metrics, while managing cross-functional teams and stakeholders.

Tenure-track associate professor to develop and teach undergraduate and graduate computer science and data science courses (e.g., OOP, databases), maintain an active research agenda aligned with Embry-Riddle priorities, advise students, and participate in college meetings and scholarly travel. Candidate should have prior university experience and scholarship appropriate for tenured associate professor rank.

Design and implement credit strategies using data, machine learning, A/B testing and advanced analytics to optimize underwriting, pricing, and credit line decisions. Lead end-to-end analytics for credit card products, monitor portfolio performance, conduct root-cause analysis, partner cross-functionally, and communicate findings to stakeholders.

Lead Financial Systems & Carrier Integration engineering teams, split time between hands-on technical work and people management. Drive architecture, delivery, AI/data initiatives, cross-functional collaboration, quality practices, HIPAA compliance, and production incident/RCA leadership.

Owner of client implementation and adoption for Sift's revenue cycle solutions. Build strong client relationships, deliver KPI-driven insights and ROI, coordinate cross-functional teams, surface product feedback, and apply healthcare revenue cycle expertise to drive operational improvements and client value.

Lead pre-sales technical strategy for large enterprise accounts, build proofs-of-concept and demos, drive Databricks adoption for ML/AI use cases, mentor teammates, and cultivate technical champions and executive relationships.

The Principal Partner Marketing Manager will lead strategic co-marketing initiatives, develop joint marketing plans, execute integrated campaigns, enable field teams, and collaborate cross-functionally to drive awareness, demand, and revenue growth through partnership with Microsoft.

As a Business Operations Associate, you'll drive data-driven decisions and strategies, analyze performance metrics, and optimize operations for growth at Jerry.ai.

As a Lead AI Engineer, design and implement AI and machine learning models and pipelines to enhance healthcare outcomes and efficiency.

As a Staff Product Manager for Ads Optimization, you will define strategies for campaign performance, collaborate with engineering and data teams, and present insights to leadership, focusing on optimization and automation.

The Global VP of Customer Success will transform customer success operations, improve customer value realization, and work with executive teams to enhance product offerings.

As Founding Head of Product, you will define and own the product strategy, working across teams to shape AI-driven solutions and ensure market fit for Sciemo.

Lead product marketing strategies for AI solutions in consumer goods, crafting messaging, building marketing infrastructure, and defining go-to-market strategies.

As a Sr. Machine Learning Engineer, you'll develop ML solutions for healthcare, manage data pipelines, write production-ready software, and own ML services end-to-end.

As a Machine Learning Engineer, you will perform analysis on healthcare data, develop and deploy clinical machine learning models, and collaborate with various stakeholders.

Build and maintain dashboards and reports (Excel, Tableau, Sigma) by pulling and modeling production data (SQL, Python). Create pricing models for RFPs, define operational and financial metrics, optimize queries and data structures, run A/B experiment analyses, and partner with business leaders to generate insights and recommendations to improve roadside assistance operations and performance.

As a Full-Stack Data Scientist at Stitch Fix, you will develop customer-oriented solutions in recommendation systems and search engines, impacting business outcomes and collaborating with teams to innovate client-facing products.

Lead pre-sales technical engagements for Conversational and Generative AI solutions, collaborate across teams, and design value-driven demos for enterprise customers.

Student internship supporting IT: troubleshoot hardware/software/network issues, configure devices, maintain documentation and asset inventories, assist with upgrades, monitor security alerts, support IT projects (migrations, cloud integrations, automation), and ensure policy compliance.