Top Remote Machine Learning Jobs in Albuquerque, NM

Lead the creation and optimization of machine learning algorithms, develop and refine production-grade models, and drive testing of innovative algorithms using historical data.

The role involves leading AI and data science initiatives, overseeing technical execution, fostering team development, and partnering with stakeholders to drive strategy.

The Data Scientist II will enhance marketing strategies through advanced measurement frameworks, statistical models, and cross-functional collaborations to drive revenue growth for Pinterest.

Lead a team of Machine Learning engineers, drive technical direction, oversee large-scale ML systems and improve user experience for over 500M users.

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 Opportunity Engine product development, managing cross-functional teams to drive advisor growth and improve client experiences using data and AI.

The role involves managing data to uncover insights, developing predictive models, and bridging clients with data intelligence within the context of evolving market research methodologies.

Lead the design and implementation of advanced ML systems at Airbnb, mentoring engineers and shaping concepts into impactful products.

As a Senior Data Scientist, you will detect fraud, optimize payments, analyze data via A/B testing, and collaborate with various teams to enhance Lime's payments system.

The Business Development Director is responsible for acquiring new clients and expanding existing accounts, focusing on data, AI, and consulting services. Key duties include pipeline development, stakeholder engagement, revenue forecasting, and representing the company at industry events.

Lead the transformation of Clinical and Customer Operations at Hims & Hers by driving technology and AI strategy while managing teams, defining product vision, and ensuring alignment with business goals.

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

Lead evaluation and optimization of large-scale datasets for AI models. Design statistical methods, collaborate on data strategies, and enhance data quality.

As a Software Engineer at Speechify, you'll enhance AI Voice products, optimize ML pipelines, and improve deployment tools in a fast-paced environment.

Develop and optimize machine learning models for data extraction from tax documents, collaborate on software integration, and mentor junior team members.

Lead design and implementation of enterprise-grade AI systems, architect AI infrastructure, and drive technical strategy for AI-powered products primarily for military applications.

Lead end-to-end product initiatives focused on AI-powered features, collaborating with cross-functional teams to define and ship products.

The Technology Director leads technology strategy and delivery across client engagements, directly contributing to technical solutions, architecture, and hands-on production work while mentoring teams and representing technology in client partnerships.

The role involves leading the Revenue ML team, managing engineers focused on building AI/ML capabilities for user and revenue growth, overseeing project execution, and fostering collaboration among cross-functional teams.

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

Lead and manage a team developing ML models for self-driving vehicles, define motion planning projects, and collaborate with cross-functional teams to enhance performance.

Lead the development of advanced perception algorithms for self-driving vehicles. Collaborate and mentor engineers, optimize algorithms, and implement sensor fusion for robust perception systems.

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

The Analyst Relations Specialist will handle outreach to industry analysts, coordinate participation in evaluations, and develop messaging, leveraging AI tools to synthesize data and automate tasks.

This role involves designing AI agents, building robust infrastructure, and translating customer insights into technical requirements while working with reinforcement learning and applied data.