Data Science Jobs – Page 13

Why this is a real AI job: The role explicitly focuses on building and improving core AI components like search engines, language models, and ranking systems. The tasks listed are heavily centered around ML model development, training, and deployment.

About Glean: Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With…

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Why this is a real AI job: The role explicitly focuses on building and improving core AI components of a search engine, including model training, language model adaptation, and combining LLMs with search. The tasks are heavily centered around AI/ML techniques.

About Glean: Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With…

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Why this is a real AI job: The role is explicitly focused on building the backend infrastructure for an AI observability platform, with direct involvement in ML/LLM workflows, model evaluation, and data pipelines. The job description consistently references AI, LLMs, and machine learni…

About Arize AI is rapidly transforming the world. As generative AI reshapes industries, teams need powerful ways to monitor, troubleshoot, and optimize their AI systems. That’s where we come in. Arize AI is the leading AI & Agent Engineering observability and evaluation platform , empowering AI eng…

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Why this is a real AI job: The role explicitly focuses on advancing medical NLP, building and deploying ML models, and conducting research in areas directly related to AI. The description emphasizes the core AI/ML components of the position.

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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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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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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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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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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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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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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