GPU Optimization Jobs

Warum echter KI-Job: The role is explicitly focused on building and optimizing machine learning infrastructure, tooling, and systems. Responsibilities directly involve ML training, evaluation, deployment, and performance improvement. The qualifications and success metrics are hea…

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximatel…

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Warum echter KI-Job: The role is explicitly focused on building infrastructure and tooling to improve the efficiency of machine learning workflows, including training, evaluation, deployment, and monitoring. The responsibilities and qualifications heavily emphasize ML-specific sk…

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximatel…

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Warum echter KI-Job: The role is explicitly focused on accelerating and optimizing AI models (video generation and LLMs) for production deployment. The required skills are heavily centered around ML engineering principles and tools.

ABOUT THE ROLE We are seeking Senior/Staff level Inference Engineers to accelerate the performance of Pika's AI-driven products. In this highly technical role, you will operate at the intersection of cutting-edge inference acceleration, GPU parallelism, advanced model deployment, and video generati…

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Warum echter KI-Job: The role is explicitly focused on building and optimizing infrastructure for machine learning model inference, with a strong emphasis on scaling AI-driven solutions. The description details tasks directly related to ML model serving, optimization, and deploym…

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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Warum echter KI-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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Warum echter KI-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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Warum echter KI-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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Warum echter KI-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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Warum echter KI-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…

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Warum echter KI-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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