Top Machine Learning Jobs
As a Senior Machine Learning Engineer for Mozilla's 0din program, you will conduct research, develop security tools for LLMs, engage with researchers, and present findings effectively. Your work will play a role in ensuring the safety of AI technologies by identifying vulnerabilities and collaborating with the community.
The Senior Machine Learning Engineer will advance AI security by creating innovative processes to harden security in machine learning applications, engaging directly with researchers, and producing technical content for various audiences. The role involves independent research, community engagement, and driving innovation in the field of AI security.
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.
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.
Featured Jobs
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.
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.
The Senior Machine Learning Engineer will develop advanced algorithms for humanoid robotics using imitation learning and reinforcement learning. Responsibilities include designing machine learning models, optimizing training processes, and contributing to team collaborations to push the boundaries of robotics technology.
The Data Scientist AI/ML Expert at Stellar Science will develop and apply AI/ML models to analyze scientific and engineering data, enhance modeling accuracy, and contribute to complex software projects. Responsibilities include utilizing various machine learning concepts and frameworks to process and visualize large datasets.
As an AI Research Scientist, you will advance AI/ML algorithms for robotics, integrate solutions into robotic applications, and publish research findings. The role requires collaboration with cross-functional teams and focuses on innovation in AI technologies for autonomous robots.
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Principal Machine Learning Engineer needed at Twilio to spearhead ML/AI focused research projects, build prototypes, and explore emerging technologies. Responsibilities include researching new ML and AI technologies, building prototypes, collaborating with cross-functional teams, and influencing steering committee discussions on AI usage. Must have 10+ years of hands-on engineering experience.
As a Staff Machine Learning Engineer at Lily AI, you will design scalable machine learning systems, optimize deep learning models, and implement best practices in ML Ops. You'll collaborate with various teams to define the ML roadmap, improve system performance, and develop tools to enhance team productivity. The role emphasizes automating workflows and transitioning prototypes to production-ready systems.
The position involves leading a team to create innovative technology that integrates natural language processing, big data, and artificial intelligence to enhance digital communication. The candidate should have extensive experience in relevant fields and demonstrate leadership and collaboration skills.
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As a Machine Learning Engineer at FanDuel, you will leverage data to enhance customer experiences and drive business insights. You will collaborate with engineering and data teams to manage data and develop AI-powered insights, turning user interactions into actionable knowledge.
As a Staff Machine Learning Data Scientist, you will lead the development of machine learning tools for patient data, integrating insights from diverse stakeholders, and conducting complex analyses in cloud environments. You'll collaborate with experts to provide innovative solutions and generate novel clinical insights from extensive patient data.
The Staff Engineer will lead the design and development of GenAI-powered product capabilities, driving technical delivery through the feature lifecycle. Responsibilities include identifying opportunities for AI/ML applications, collaborating across teams, owning service uptime, and developing automation and microservices.
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