Top Machine Learning Jobs in Albuquerque, NM

As a Machine Learning Intern, you'll prototype and evaluate ML systems, collaborate with teams, and analyze large datasets to improve user experiences.

As a Principal Machine Learning Engineer, you will develop multimodal AI experiences, design agent interactions, and lead cross-team initiatives while ensuring AI safety and reliability.

Lead the development of agentic AI systems for real estate, focusing on long-horizon, supervised experiences. Architect collaborative systems and define success metrics while mentoring a small team.

Lead product strategy for AI-driven security operations, defining the vision and roadmap for agentic workflows, collaborating with teams, and measuring success metrics.

The VP of Marketing & Acquisition will lead the acquisition strategy to drive growth, manage multi-channel campaigns, optimize performance through analytics, and ensure alignment across teams. Responsibilities include overseeing creative development, budget management, and customer engagement strategies, while demonstrating effective leadership and a focus on measurable goals.

The VP of Marketing will lead the marketing ecosystem to drive growth, define competitive advantages, influence product design, and mentor a diverse team towards a mission-driven culture.

The Senior Treasury Analyst will enhance Voleon's cash returns, manage liquidity, and support treasury initiatives, collaborating with finance and technical teams to drive operations and growth.

The AI Application Engineer will design and deploy AI systems, collaborate with teams, implement Generative AI solutions, and promote continuous learning in AI practices.

Lead the development and implementation of machine learning solutions, managing a team to drive strategic decisions and innovative business outcomes.

Lead the development of product safety strategies, focusing on risk assessment and compliance using AI technologies and methodologies while collaborating with cross-functional teams.

The Sales Engineer will serve as a technical lead, guiding clients on advanced data integration and analytics solutions in healthcare, impacting revenue and client engagement.

Lead development of AI-powered solutions, architect large language models, capture domain knowledge, and deliver client-focused insights. Manage a team to integrate AI capabilities across products.

As a Research Scientist at Netflix, you will collaborate on machine learning projects to enhance content metadata and discovery, while operationalizing models.

The role involves handling complex technical support cases, acting as a senior escalation point, managing bugs, mentoring peers, and improving support quality.

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

As a Principal Product Manager, you will drive innovation in AI technology, reshape expert acquisition strategies, and collaborate with cross-functional teams to enhance product offerings.

Lead design and execution of an Operational Readiness Verification (ORV) framework for AV operations: define safety gates, run pre-launch audits and red-team exercises, own safety cases and RCA processes, verify mitigations, and drive safety culture and reporting with clients and cross-functional teams.

The Business Operations Associate will support data-driven decision-making, execute A/B tests, and optimize user acquisition and operations 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.

Lead data-driven marketing analytics for subscriber performance and revenue optimization, providing insights and forecasting while managing a team of analytics professionals.

The Technical Program Manager will lead the Trade and Risk Platform evolution by optimizing customer experience, managing vendor tools, and improving risk workflows.

Seeking a Senior Data Scientist to develop AI/ML models for predictive maintenance and logistics forecasting, ensuring alignment with mission objectives and collaborating within Agile teams.

The Senior ML Engineer will architect ML infrastructure, deploy models, manage data, ensure MLOps practices, and collaborate on data projects with diverse teams.

The Cybersecurity Intern will assist in enhancing security measures, analyzing security data, participating in incident investigations, and supporting vulnerability management while gaining real-world experience in cybersecurity operations.

The Forward Deployed Engineer designs and implements GenAI data solutions, ensuring data quality and optimizing workflows for enterprise clients.