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GPU Optimization Jobs

Aktuelle KI-Jobs mit GPU Optimization, passende Lernpfade und Bewerbungsbezug.

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11
Results
6
Companies
94.5
Average score
7
Remote

10 results on this page. 11 results in total. More results are available via pagination, company pages, skill pages and job detail pages.

SF OfficeUSAFullTimeashby2026-06-16

Why this is a real AI job: The role is explicitly focused on building and optimizing the infrastructure for deploying and scaling machine learning models, specifically for an AI-powered healthcare platform. The job description heavily emphasizes AI/ML technologies and their application…

ABOUT ABRIDGE Abridge was founded in 2018 with the mission of powering deeper understanding in healthcare. Our AI-powered platform was purpose-built for medical conversations, improving clinical documentation efficiencies while enabling clinicians to focus on what matters most—their patients. Our e…

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Redwood City, CAUSAFullTimeashby2026-06-16

Why this is a real AI job: The role is explicitly focused on building and maintaining infrastructure for ML research and serving, with a strong emphasis on large language models and GPU utilization. The requirements and responsibilities directly relate to core AI/ML engineering tasks.

ABOUT THE ROLE We’re looking for seasoned ML Infrastructure engineers with experience designing, building and maintaining training and serving infrastructure for ML research. Responsibilities: - Provide infrastructure support to our ML research and product - Build tooling to diagnose cluster issues…

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San FranciscoUSAgreenhouse2026-06-16

Why this is a real AI job: The role is explicitly focused on building and optimizing AI/ML systems, specifically around inference and reinforcement learning for large language models. The responsibilities and requirements heavily emphasize core AI/ML skills and concepts.

About the Role The Turbo team sits at the intersection of efficient inference (algorithms, architectures, engines) and post‑training / RL systems. We build and operate the systems behind Together’s API, including high‑performance inference and RL/post‑training engines that can run at production sca…

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RemoteUSAgreenhouse2026-06-16

Why this is a real AI job: The role is entirely focused on the development and optimization of LLM inference frameworks, distributed systems, and related technologies. The responsibilities and requirements clearly indicate a core AI/ML engineering position.

About the Role At Together.ai, we are building state-of-the-art infrastructure to enable efficient and scalable inference for large language models (LLMs). Our mission is to optimize inference frameworks, algorithms, and infrastructure, pushing the boundaries of performance, scalability, and cost-e…

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San FranciscoUSAgreenhouse2026-06-16

Why this is a real AI job: The role is explicitly focused on building and optimizing the model serving layer for voice applications, working with state-of-the-art voice models and inference engines. The responsibilities are heavily centered around ML engineering tasks.

About the Role Together AI is building the best inference infrastructure for voice applications. Our Voice AI platform powers production-grade, real-time voice agents and applications — serving speech-to-text and text-to-speech models with best-in-class latency and reliability. We're looking for a…

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San FranciscoUSAgreenhouse2026-06-16

Why this is a real AI job: The role is entirely focused on building and optimizing the model serving layer for voice applications, including LLMs, STT, and TTS. It requires deep expertise in ML engineering, inference optimization, and GPU utilization. The responsibilities and requireme…

About the Role Together AI is building the best inference infrastructure for voice applications. Our Voice AI platform powers production-grade, real-time voice agents and applications — serving speech-to-text and text-to-speech models with best-in-class latency and reliability. We're looking for a…

Details Open source / apply

Remote (Growth only)USAgreenhouse2026-06-16

Why this is a real AI job: The role explicitly focuses on designing, evaluating, and optimizing ML models, contributing to research publications, and working with cutting-edge AI systems. The core responsibilities are deeply rooted in AI/ML engineering and research.

PLEASE NOTE: This is a fully remote, 1099 independent contractor opportunity with an estimated duration of six months and the potential for extension. To be eligible, candidates must be authorized to work in Canada. About the Program The Human Frontier Collective (HFC) Fellowship brings together to…

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Remote (Growth only)USAgreenhouse2026-06-16

Why this is a real AI job: The role explicitly focuses on designing, evaluating, and optimizing advanced generative AI systems and ML models. The fellow will be directly involved in ML projects, research publications, and advising on AI-related technologies. The description heavily emp…

PLEASE NOTE: This is a fully remote, 1099 independent contractor opportunity with an estimated duration of six months and the potential for extension. To be eligible, candidates must be authorized to work in the country they reside in. About the Program The Human Frontier Collective (HFC) Fellowshi…

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Remote (Growth only)USAgreenhouse2026-06-16

Why this is a real AI job: The role explicitly focuses on designing, evaluating, and optimizing ML models, contributing to research publications, and working with cutting-edge AI systems. The core responsibilities are deeply rooted in AI/ML engineering and research.

PLEASE NOTE: This is a fully remote, 1099 independent contractor opportunity with an estimated duration of six months and the potential for extension. To be eligible, candidates must be authorized to work in the United States; visa sponsorship is not available for this role. About the Program The H…

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San Francisco, CaliforniaUSAgreenhouse2026-06-16

Why this is a real AI job: The role explicitly focuses on research and engineering related to GenAI, LLMs, and optimizing training workflows for large models. The tasks are deeply technical and directly contribute to advancing the state-of-the-art in AI.

At Databricks, we are obsessed with enabling data teams to solve the world’s toughest problems, from security threat detection to cancer drug development. We do this by building and running the world’s best data and AI platform so our customers can focus on the high-value challenges that are centra…

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