Wayve · Sunnyvale, California USA
95/100
Sunnyvale, California USAUKgreenhouse2026-09-10
Why this is a real AI job: The role is explicitly focused on building and improving core AI models (computer vision, scene understanding) for autonomous driving. The job description heavily emphasizes ML engineering, model training, and adaptation of foundation models.
About us Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems. Our vision is to create…
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Wayve · London, United Kingdom
95/100
London, United KingdomUKgreenhouse2026-09-10
Why this is a real AI job: The role is fundamentally focused on building and scaling synthetic data generation pipelines using advanced world models (GAIA) for autonomous driving. It requires deep expertise in ML, generative models, and training infrastructure.
About us Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems. Our vision is to create…
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Wayve · London, United Kingdom
95/100
London, United KingdomUKgreenhouse2026-09-10
Why this is a real AI job: The role is explicitly focused on developing and optimizing generative world models for autonomous driving simulation, requiring deep expertise in ML, generative models, and related AI techniques. The core responsibilities are heavily AI-focused.
About us Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems. Our vision is to create…
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New York City, San FranciscoUSAgreenhouse2026-09-10
Why this is a real AI job: The role is explicitly focused on building and operating AI infrastructure, specifically for LLMs, agentic workflows, synthetic data, and evaluation pipelines. The job description heavily emphasizes AI/ML concepts and technologies as the core responsibilities.
About Snorkel At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data. We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes since 2015, when Snorkel started as a resear…
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RemoteUSAgreenhouse2026-09-10
Why this is a real AI job: The role explicitly focuses on building and deploying GenAI/ML solutions for customers. The job description details tasks like model development, data exploration, fine-tuning pipelines, RAG implementation, and evaluation workflows - all core AI activities.
About Snorkel At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data. We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes since 2015, when Snorkel started as a resear…
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San FranciscoUSAgreenhouse2026-09-10
Why this is a real AI job: The role is explicitly focused on building and maintaining Generative AI Analytics, data science models (forecasting, ranking, recommendation), and a semantic layer. A significant portion of the time (80%) is dedicated to these tasks.
About Snorkel At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data. We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes since 2015, when Snorkel started as a resear…
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New York City, Remote, San FranciscoUSAgreenhouse2026-09-10
Why this is a real AI job: The role explicitly focuses on building and deploying GenAI and ML solutions for customers. The responsibilities heavily emphasize model development, data processing, evaluation workflows, and staying current with AI research. Required skills are overwhelming…
About Snorkel At Snorkel, we believe meaningful AI doesn’t start with the model, it starts with the data. We’re on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes since 2015, when Snorkel started as a resear…
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Sunnyvale, CAUSAFullTimeashby2026-09-10
Why this is a real AI job: The role explicitly focuses on building and deploying AI agents, orchestrating AI workflows, and integrating AI into core business systems. The job description heavily emphasizes hands-on AI engineering, solution architecture, and platform strategy, all cente…
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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LondonUSA/UK/PolandFullTimeashby2026-09-10
Why this is a real AI job: The role is explicitly focused on building and maintaining datasets and evaluation workflows for AI safety, directly impacting the development and deployment of AI models. The description heavily emphasizes ML, data science, and AI-specific tasks.
ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like…
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San FranciscoUSAFullTimeashby2026-09-10
Why this is a real AI job: The role is entirely focused on building and maintaining evaluation pipelines for LLM-based products, designing evaluation sets, and improving answer quality. It requires deep expertise in data science, machine learning, and specifically LLMs.
Perplexity serves tens of millions of users daily with reliable, high-quality answers grounded in an LLM-first search engine and our specialized data sources. We aim to use the latest models as they are released, but the intelligence frontier is a jagged one, and popular benchmarks do not effective…
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