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As a Staff Machine Learning Engineer, you will lead the design and integration of Generative AI solutions in Firefox, collaborating across teams. You will build infrastructure for training LLMs and implement validation procedures to ensure model performance while monitoring and optimizing deployed models.
As a Senior Machine Learning Engineer, you will research, develop, deploy, and monitor ML models to enhance patient engagement and outcomes. You will collaborate with software engineers to create scalable software and infrastructure, translating business objectives into machine learning problems and analyzing user data to optimize treatment processes.
The Applied Scientist will leverage advancements in AI/ML, particularly Large Language Models and Computer Vision, to enhance legal and financial tech solutions. Key responsibilities include finetuning and deploying state-of-the-art models, building ETL pipelines, and collaborating with cross-functional teams to improve AI quality in production systems.
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The Staff Software Engineer will design and implement data processing pipelines for computer vision solutions in satellite imagery analytics, participate in the project lifecycle from development to deployment, and lead MLOps and data ETL projects. They will collaborate on technical strategies and maintain high production-quality code.
Develop unique capabilities and applications using advanced machine learning techniques, conduct experiments, optimize algorithms, analyze datasets, and stay up-to-date with latest research in generative AI & ML.
The Staff Machine Learning Engineer will research, prototype, optimize and deploy perception algorithms for autonomous vehicles. Responsibilities include training large-scale deep learning models, optimizing compute resource utilization, and collaborating with software and test teams on development.
The Staff Machine Learning Engineer will design, train, and deploy large deep learning models using data from millions of vehicles to enhance autonomous driving capabilities. This role includes establishing advanced ML infrastructure and improving model training/inference processes.
Design, train, and deploy large deep learning models utilizing vast amounts of data from a fleet of vehicles, working alongside engineers and scientists to advance autonomous driving solutions.
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The Machine Learning Engineer will fine-tune and maintain large language models for Humanoid Robots and Autonomous Driving Cars, develop training and deployment pipelines, leverage large-scale datasets, explore synthetic data generation, and collaborate with teams to align on product needs.
The Senior Staff Machine Learning Engineer will design, train, and deploy large deep learning models to enhance autonomous driving capabilities. This role involves establishing ML infrastructure for large model training and inference, and requires collaboration with software engineers and research scientists to advance state-of-art machine learning models.
The Machine Learning Engineer will design, train, and deploy large deep learning models utilizing extensive data from a fleet of vehicles, focusing on enhancing model training and inference for autonomous driving solutions.
The Senior Machine Learning Engineer will develop and optimize perception algorithms for autonomous vehicles, focusing on deep learning and computer vision. Responsibilities include training models on GPU clusters, improving algorithms, and collaborating with software teams.
As a Staff Machine Learning Engineer, you will design deep learning algorithms using vast data from vehicles, adopt recent advancements in machine learning, and collaborate with software developers to enhance the autonomous driving product.
The role involves designing deep learning algorithms for autonomous driving, working with labeled and unlabeled data from vehicles, and collaborating with developers to implement AI software systems and research advancements in machine learning.
As a Senior Staff Machine Learning Engineer, you will investigate and implement advanced AI methodologies to enhance productivity and automate workflows, work with cross-functional teams on AI integration, and mentor engineers in adopting AI technologies.
Seeking a VP, Data Science & ML to lead modeling and AI/ML initiatives across the enterprise. Responsibilities include setting strategic direction, managing existing models, collaborating on machine learning platform deployment, and leading a team.
As a Senior Software Engineer at Mashgin, you will leverage your expertise in machine learning and computer vision to design and implement deep learning algorithms. You will focus on solving real-world problems, develop innovative data collection methods, and transition research into production-ready solutions collaboratively with a small team.
The Principal Engineer will develop innovative ML solutions for managing sparse, high-dimensional biological data, creating robust pipelines ensuring data traceability, and implementing best practices in MLOps. Responsibilities include optimizing ML models for resource-constrained environments and fostering collaboration across teams to communicate complex concepts.
The Technical Director will guide the technical direction of Epic's Advanced Analytics and ML Services team, focusing on scalable solutions for batch and real-time workloads. Responsibilities include championing ML integration efforts, collaborating with stakeholders, mentoring team members, and overseeing the design, planning, and execution of data systems.
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