Top Machine Learning Jobs in Reno, NV

The Senior Manager will design and implement AI-driven underwriting processes, assess current practices, and improve risk assessment through automation and data analysis, while collaborating with various teams.

The Senior Procurement Manager leads procurement strategies, manages supplier relationships, implements operational efficiencies, and enhances value through strategic sourcing and analytics.

The Senior B2B Marketer will develop and execute marketing strategies, collaborate with Sales, create marketing materials, conduct research, and optimize marketing effectiveness to drive growth in the gaming and 3D industries.

The Senior Data Scientist will design and deploy time-series forecasting models, collaborate with stakeholders, and operationalize models in cloud environments, focusing on demand planning across various industries.

The Senior ML Engineer will integrate GenAI tools into game engines, optimize AI performance, mentor junior engineers, and translate AI research into production code.

The Engineering Manager, Machine Learning will lead a team focusing on 3D deep learning and computer vision, manage the ML roadmap, and implement best practices for MLOps pipelines.

The Director of Global Advisory will provide expertise in fraud and financial crime, engage with customers, drive solutions, develop content for thought leadership, and represent BioCatch at events, while collaborating with sales and product teams.

Lead a team to drive customer success and engagement, establish operational objectives, and support customer relations while promoting product utilization.

The Engineering Manager will oversee a team managing cloud data engineering projects, client engagement, and technical leadership, ensuring successful delivery and mentorship.

As a Business Operations Associate, you will champion data-driven decisions, drive user acquisition strategies, lead A/B experiments, and optimize operational efficiency.

The Regional Sales Director at Doxel leads a team focusing on enterprise deals, driving pipeline and improving conversion, while coaching Account Executives and ensuring strong execution and accountability in sales processes.

The Product Manager will define and govern data usage across the healthcare platform, ensuring accuracy and enabling AI-driven innovations. Responsibilities include executing the data strategy, collaborating across teams, and managing data quality and governance.

Seeking a leader for the MLIR team at Netflix to drive machine learning innovations, collaborate with various teams, and enhance organizational capabilities.

Lead and inspire a team of Machine Learning Scientists and Data Scientists at Netflix, focusing on the ads business and media planning. Enhance partnerships, drive success through collaborative projects, and ensure high-quality outputs that align with business goals.

In this role, you will design and build a platform for large-scale machine learning model training and optimize its operations. You'll create APIs for both ML practitioners and non-experts, focusing on enhancing cost-effectiveness and reliability in machine learning applications.

Research, develop, and productize Multilingual Live Caption and Translation models while collaborating with a cross-functional team to enhance localization.

Lead a data science team to drive consumer acquisition strategies and improve Netflix's signup processes through analytics, experimentation, and machine learning.

Develop and enhance ML infrastructure for LLMs, partnering with multidisciplinary teams to deliver scalable, robust systems impacting user experiences.

As a Research Engineer, you'll develop and manage data systems for text-to-speech projects and enhance machine learning models using innovative strategies.

The Batch is seeking freelance writers with expertise in machine learning to summarize research papers for its newsletter, aimed at educating practitioners.

As a Forward Deployed Engineer, you will develop solutions, embed with customers to identify their real needs, manage deployments, and integrate product improvements.

The AI Transformation Lead will drive AI delivery capabilities, transforming internal operations and client programs, while embedding AI practices and managing teams to ensure successful implementation and measurable outcomes.

The Head of Fraud will establish risk functions, manage KYC, monitor fraud exposure, optimize transaction models, and collaborate across teams.

The Sales Development Representative will identify and research potential clients, execute outbound prospecting strategies, qualify inbound leads, and collaborate with Sales and Marketing teams to enhance lead generation.

The Business Strategy Director will explore new business opportunities, lead transformational projects, and enhance organizational effectiveness while collaborating with senior leadership.