Top Machine Learning Jobs in Albuquerque, NM

The Senior Responsible AI Data Scientist will lead ethical AI initiatives, ensuring compliance and transparency while working cross-functionally to develop scalable AI solutions in healthcare.

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

Lead the architecture and management of AI/ML infrastructure using Kubernetes and Terraform, optimizing hybrid environments for performance and scalability.

Lead MLOps team to build scalable infrastructure for 3D deep learning, drive ML roadmap execution, and collaborate cross-functionally to enhance ML pipelines.

The Director of Digital Business Innovation will lead digital transformation initiatives, emphasizing data, AI, and ML to enhance operational efficiency and business innovation. Collaborate with various teams to execute strategies and drive business results.

The Product Manager will develop AI-driven experiences to enhance member engagement in a healthcare setting, collaborating with multiple teams and setting strategic goals.

Lead machine learning systems for safety and moderation at Reddit, overseeing a team while driving innovation in abuse detection and prevention.

As a Principal Technical Program Manager, you will engage with partners, own the OpenSync roadmap, and manage product activities from definition to release, ensuring alignment with customer needs and market demands.

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

Drive enterprise sales growth across emerging verticals, manage full-cycle sales, and build relationships with C-level stakeholders at innovative companies.

As Government Affairs Manager, you'll drive advocacy strategy, engage with policymakers, and align internal teams on public policy issues affecting identity and technology.

Lead the vision and strategy for ML personalization, enhancing user experience through recommendation systems and data-driven insights; drive product outcomes and collaboration across teams.

The R&D Intern will work on NLP projects, develop algorithms, write academic papers, and collaborate with researchers on novel solutions.

Responsible for developing product strategies, collaborating with cross-functional teams, conducting research for product opportunities, and ensuring shipment of product features quickly.

As a Staff Applied Scientist, you will develop AI models and prototypes, collaborate with teams, and design experiments to drive scalable solutions in the legal domain.

Support and integrate perception algorithms in self-driving vehicles, ensuring code quality and solving integration challenges across multiple sensor modalities and deep learning models.

Lead complex projects leveraging AI and machine learning to deliver innovative data-driven solutions, requiring extensive experience and technical expertise.

Lead the development and scaling of data-driven products integrating data science with clinical operations while improving patient outcomes. Responsibilities include product roadmapping, collaboration with teams, and ensuring compliance in ML product lifecycle.

As a Digital Product Manager, you'll define, deliver, and manage machine learning powered products, driving their lifecycle and ensuring alignment with customer needs and strategic goals.

The Enterprise Account Manager will drive revenue growth, cultivate senior level relationships, and maximize value for strategic clients globally.

The Data Analyst will handle data interrogation and preparation for predictive modeling, collaborate on projects, and create data assets for the P&C insurance market.

The Principal AI/ML Engineer will develop machine learning models for campaign optimization in AdTech, collaborating across engineering and product teams to enhance advertising capabilities.

As an Edge Compute Associate, you'll work under mentorship to develop edge computing solutions for satellites, collaborating on machine learning implementations.

Lead the Data Science & POCs team to optimize fraud analytics and decision systems, managing projects, mentoring staff, and collaborating with teams to reduce fraud losses.

As a Staff Machine Learning Engineer, you will design AI products on Edge devices, optimize ML model performance, and work with large-scale datasets, collaborating across teams to deliver impactful solutions.