SF OfficeUSAFullTimeashby2026-10-31
Why this is a real AI job: The role explicitly focuses on advancing the state of the art in medical NLP, building and deploying ML models, and conducting research in areas directly related to AI. The description emphasizes the core AI/ML responsibilities.
ABOUT ABRIDGE Founded in 2018, Abridge is the first AI-native clinician intelligence platform organized around the patient, built for clinicians, and designed to help health systems coordinate the clinical, financial, and evidence-based decisions for every moment of care. Powered by purpose-built A…
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SF OfficeUSAFullTimeashby2026-10-31
Why this is a real AI job: The role is explicitly focused on building and optimizing the infrastructure for machine learning models, specifically for an AI-powered healthcare platform. The job description details tasks directly related to ML model deployment, scaling, and optimization.…
ABOUT ABRIDGE Founded in 2018, Abridge is the first AI-native clinician intelligence platform organized around the patient, built for clinicians, and designed to help health systems coordinate the clinical, financial, and evidence-based decisions for every moment of care. Powered by purpose-built A…
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Bengaluru, INDUSAFullTimeashby2026-10-31
Why this is a real AI job: The role is fundamentally focused on bringing ML models to efficient execution on specialized AI hardware, involving deep technical work in model compilation, optimization, and validation. The entire job description revolves around AI/ML concepts.
Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transfor…
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Toronto, CANUSAFullTimeashby2026-10-31
Why this is a real AI job: The role is explicitly focused on bringing up and optimizing large language models (LLMs) on specialized hardware. The responsibilities directly involve the entire ML model lifecycle - from architecture translation to performance tuning. Strong emphasis on de…
Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transfor…
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United States and CanadaUSAFullTimeashby2026-10-31
Why this is a real AI job: The role is explicitly focused on applying and improving machine learning techniques (specifically LLMs) at scale. Responsibilities directly involve building ML pipelines, optimizing models, and working with large datasets – all core AI activities.
Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transfor…
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Sunnyvale, CAUSAFullTimeashby2026-10-31
Why this is a real AI job: The role is fundamentally focused on building and automating systems for model quality, performance evaluation, and benchmarking using AI agents and LLMs. The core responsibilities directly involve applying AI/ML techniques.
Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transfor…
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San FranciscoUSAFullTimeashby2026-10-31
Why this is a real AI job: The role is explicitly focused on building and optimizing infrastructure for large-scale LLM inference, a core AI task. The description heavily emphasizes AI/ML technologies and their application.
About Anyscale At Anyscale https://www.anyscale.com/, we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray https://docs.ray.io/en/latest/, a popular open-source project that's creating an ecosystem of li…
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San FranciscoUSAFullTimeashby2026-10-31
Why this is a real AI job: The role explicitly focuses on building and shipping AI/LLM-powered products, agents, and internal tooling. The responsibilities are heavily centered around AI system design, implementation, and evaluation.
ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the front…
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Redwood City, CAUSAFullTimeashby2026-10-31
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 FranciscoUSAgreenhouse2026-10-31
Why this is a real AI job: The role is explicitly focused on building and optimizing AI inference systems for large language models. The responsibilities and requirements heavily emphasize ML engineering, performance optimization, and working with cutting-edge AI technologies.
About the Role Together AI is seeking a Machine Learning Engineer to join our Inference Engine team, focusing on optimizing and enhancing the performance of our AI inference systems. This role involves working with state-of-the-art large language models models and ensuring they run efficiently and…
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