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1152
Results
303
Companies
92.5
Average score
206
Remote
10 results on this page. 1152 results in total. More results are available via pagination, company pages, skill pages and job detail pages.
Full Stack LLM Engineer
Cerebras Systems · Toronto Office
95/100
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 working with model architectures, compilers, runtimes, and performance tuning – all core AI/ML tasks.
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…
Applied Machine Learning Research Scientist
Cerebras Systems · US and Canada Offices
95/100
Why this is a real AI job: The role explicitly focuses on applying and improving machine learning techniques (specifically LLMs) at scale. Responsibilities center around 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…
Distributed LLM Inference Engineer
Anyscale · San Francisco
95/100
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…
Software Engineer, LLM Infrastructure
Fireworks AI · San Mateo
95/100
Why this is a real AI job: The role is explicitly focused on building and maintaining the infrastructure for a generative AI platform, specifically LLMs. The responsibilities directly involve ML systems, model serving, and performance optimization of AI models.
About Us: Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequo…
Applied Machine Learning Engineer
Fireworks AI · New York, San Mateo
95/100
Why this is a real AI job: The role explicitly focuses on developing, fine-tuning, and operationalizing machine learning models, with a strong emphasis on generative AI and LLM inference. The responsibilities are heavily centered around AI/ML engineering tasks.
About Us: Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequo…
95/100
Why this is a real AI job: The role is explicitly focused on developing, fine-tuning and operationalizing machine learning models. The company builds generative AI infrastructure and the responsibilities directly relate to applying ML in a production environment.
About Us: Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequo…
95/100
Why this is a real AI job: The role explicitly focuses on developing, fine-tuning, and operationalizing machine learning models. The company is building generative AI infrastructure, and the responsibilities are heavily centered around applying ML to real-world problems.
About Us: Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequo…
Engineering Manager - Forward Deployed Engineering (LLM)
Baseten · San Francisco
95/100
Why this is a real AI job: The role is explicitly focused on building, scaling, and optimizing LLM inference workloads. The team is a 'Forward Deployed Engineering' team working directly with customers on AI deployments. The requirements clearly state experience with LLMs and ML infere…
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 fronti…
Sr AI Engineer | Remote - Europe | TS/Vue/NodeJS
n8n · Berlin Office
95/100
Why this is a real AI job: The role is explicitly focused on building AI-powered features into the core product, including LLM integration, prompt engineering, and AI feature lifecycle management. The requirements and bonus points heavily emphasize AI/ML expertise.
The AI orchestration of your wildest imagination. n8n is the open workflow orchestration platform built for the new era of AI. We give technical teams the freedom of code with the speed of no-code, so they can automate faster, smarter, and without limits. Backed by a fiercely inventive community an…
Machine Learning Infrastructure Engineer
Character.AI · Redwood City, CA
95/100
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…