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The ML/AI Developer will manage customer relationships and oversee the deployment of machine learning solutions in various applications, collaborating with team members on software development, system design, and optimizations to deliver robust AI solutions.
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.
As an AI Performance Engineer, you will optimize the training and inference performance of machine learning models for autonomous driving, working closely with software engineers and researchers to enhance the capabilities of deep learning on NVIDIA GPU systems and AV onboard systems.
The Senior Manager of Software Engineering at Figma will lead multiple teams to develop and enhance AI capabilities in core products. Responsibilities include collaborating with cross-functional teams, driving product innovation, recruiting, and mentoring engineers while promoting an inclusive and diverse culture.
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The role focuses on enhancing AI/ML infrastructure to improve productivity for researchers. Responsibilities include resolving infrastructure gaps, developing scalable solutions, optimizing performance, and collaborating with various teams to create an integrated AI/ML infrastructure ecosystem.
As a Software Engineer specializing in AI at Figma, you will lead the development of early-phase AI systems that enhance user experience. You'll collaborate with innovative engineers and data scientists, breaking down AI challenges into engineering strategies, mentoring peers, and contributing to the team’s growth through recruitment processes.
As the AI Data Architect/Data Lead at Golin, you will develop and implement the agency's long-term data strategy to enhance AI-driven solutions. This includes creating a data lake, ensuring compliance with data governance, acquiring partnerships for data, and driving innovative data-driven capabilities while collaborating with various stakeholders.
As a Backend Engineer at LaunchDarkly, you'll build and expand feature management products, design and implement APIs, and enhance system performance. Responsibilities include collaborating on user-facing features, writing tests, participating in code reviews, and improving engineering standards in a communicative team environment.
The AI/ML Ops Engineer will create and maintain data pipelines, implement machine learning models to enhance products, and collaborate with cross-functional teams to align data science efforts with business objectives, ensuring data-driven innovation in customer experiences.
As an AI ML Engineer, you will design, develop, and deploy machine learning models and data pipelines. Responsibilities include implementing data preprocessing, building training datasets, and conducting exploratory data analysis while collaborating with data engineers and scientists to drive impactful business decisions.
The AI, Data Strategy and Integration Lead will develop and implement a long-term data strategy to support Golin's AI transformation. Responsibilities include managing data lakes, establishing data governance, acquiring data, integrating AI tools, and fostering data-driven innovation across the agency.
AI Engineer at the SEI using advanced statistics, data analytics, machine learning, and artificial intelligence to solve cyber security challenges. Responsible for developing prototype solutions, building final products, and co-authoring research proposals.
The role involves researching and developing innovative AI optimization and acceleration techniques, collaborating with partners, and contributing to AI model optimization while maintaining a solid grasp of computer architecture and distributed computing.
Omada Health is seeking a Senior AI Engineer to lead the deployment of AI models and applications using state-of-the-art tools and platforms. The role involves designing, deploying, and managing end-to-end AI solutions with a focus on Generative AI and LLMs, monitoring model performance post-deployment, and collaborating with stakeholders to meet business needs. Candidate must have 5+ years of experience in AI deployment with proven business impact.
Lead AI/ML Scientist role at Datasite, leading AI/ML projects from conception to implementation, optimizing AI models, and collaborating with cross-functional teams to enhance product offerings and customer satisfaction.
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You will design and implement data-driven solutions, create prototypes, and enhance existing products by collaborating with customers and colleagues. Responsibilities include maintaining data pipelines, driving AI model usage, and presenting findings to stakeholders.
The Tech Lead Manager will oversee the fullstack product and infrastructure development for Glean's Generative AI products while providing technical leadership, coaching engineers, and fostering an inclusive team culture. They will collaborate closely with product management, design, and data science to enhance capabilities and performance.
The Applied AI Engineer & Researcher will innovate data strategies, develop algorithms, and enhance AI systems to accurately understand the universe. Responsibilities include collaboration with product teams and continuous improvement of Grok capabilities, integrating research techniques to maximize AI effectiveness.
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The role involves co-founding and developing an enterprise product that leverages AI advancements. Ideal candidates should have startup experience, strong coding skills, and a focus on user-friendly software creation, ready to contribute individually in a collaborative environment.
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Lead the development of a cloud-native Vector Search service, manage and operate a highly-available service, hire and grow a talented engineering team, define product and engineering roadmaps, and partner with other leaders on planning and prioritization.
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.
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