Top Machine Learning Jobs in Albuquerque, NM
As a Senior Staff Machine Learning Engineer at Liftoff, you will own and develop ML models with direct business impact, mentor team members, monitor latest ML research, and influence team roadmaps. Requires 10+ years of ML experience, hands-on experience with deep neural networks at scale, strong coding skills, and a degree in Machine Learning, Math, Physics, or related field. Full-time remote work available in specified states with a base salary ranging from $250,000 to $315,000.
Lead the Machine Learning agenda for Dropbox's new initiatives by developing high-impact ML solutions using a variety of techniques across different platforms. Collaborate with cross-functional teams to create innovative products and shape the direction of machine learning at Dropbox.
The Manager of Machine Learning Engineering at Samsara leads teams in building and managing machine learning solutions for customers, focusing on computer vision, sensor fusion, and AI deployment. This role is fully remote in the US and Canada, with a focus on impactful technology development for industries like transportation and manufacturing.
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Quality Engineering role working on Machine Learning technologies, involving test automation, analyzing results, creating test plans, and supporting engineering organizations.
Partner with stakeholders to translate business problems into actionable machine learning solutions, develop data pipelines, write clean, production-ready code, design and conduct experiments to evaluate models' performance
DataGrail is seeking a Machine Learning Engineer to help transform the privacy space by building and productizing machine learning models for classifying personal data. The role involves collaborating with cross-functional teams and driving machine learning projects from ideation to implementation.
As a Generative AI Scientist at Mission Cloud, you will leverage generative AI models to build internal products, collaborate with teams, and contribute to groundbreaking AI solutions. Responsibilities include designing and deploying AI models, collaborating with interdisciplinary teams, and staying updated on AI trends. Requirements include experience in AI model implementation, programming skills in Python and AI frameworks, and AWS certifications. This remote position offers a rewarding package and career development opportunities.
Work as a machine learning engineer in the Applied AI and Machine Learning team. Contribute to core recommender systems and machine learning models. Opportunity to work on a large-scale machine-learning system and continuously learn and improve the solution.
Join the AI Foundations team at Spring Health as a Machine Learning Engineer II to build and enhance models powering precision mental health care. Develop innovative data products to impact members positively and contribute to advancing mental health science.
Lead a team applying machine learning methods to solve credit risk prediction problems for a small dollar lending product. Explore new variables and opportunities for ML models to improve credit decisioning. Responsible for the performance of loan originations for the product.
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