Software Engineer, Secrets Infrastructure (Remote) - Fully remote team building Stripe's internal secrets/credentials infrastructure.
Software Engineer, New Grad - New grad SWE role spanning Stripe's payments, money-movement and platform teams.
Applied Scientist / Research Engineer, AI4Engineering - Apply Mistral's models to coding, software engineering, and developer workflows.
AI Scientist - Research scientist role on Mistral AI's research org — onsite, hybrid or remote.
Research Engineer, Machine Learning - Build and optimize large-scale learning systems powering Mistral's open-weight models.
Machine Learning Engineer, Fast Optimized Inference (EMEA Remote) - Build the fastest open-source inference stack — quantization, kernels, serving — at Hugging Face.
Cloud Machine Learning Engineer (US Remote) - Build Hugging Face's cloud ML offerings — inference endpoints, training infrastructure, and customer-facing tooling.
SDE AI/ML II — ML Inference Apps, AWS Neuron - Performance tune and enable ML model families (Llama2, GPT-class) on AWS Neuron / Trainium inference accelerators.
Annapurna Labs at AWS — Early Career (US): ML Systems & Silicon Innovation - Multiple technical tracks across ML Systems & Compilers, Distributed Training Systems and ML Infrastructure on AWS's silicon team.
Machine Learning Research Engineer, Generative AI (Siri) - Build infrastructure, datasets and models that empower Siri across NLU, dialog generation, speech synthesis and multi-modal interaction.
AI Research Scientist — Safety Alignment Team - Research and develop safety-alignment techniques for Meta's frontier AI systems.
AI Research Scientist, Language — Generative AI - Conduct research on generative language models within Meta's GenAI org.
Senior Deep Learning Algorithm Engineer - Develop and optimize deep learning algorithms for NVIDIA's accelerated computing platforms.
Deep Learning Software Engineer, TensorRT Performance — New College Grad 2026 - Integrate TensorRT into open-source frameworks and implement graph compiler algorithms across NVIDIA's inference ecosystem.
Research Engineer, Pretraining - Build and optimize pretraining systems and pipelines for frontier models at Google DeepMind.
Research Engineer, World Models - Implement core infrastructure and conduct research to build generative models of the physical world.
Staff Machine Learning Engineer, Virtual Collaborator - Lead ML engineering for the Virtual Collaborator product line at Anthropic.
Research Engineer, Cybersecurity Reinforcement Learning - Safely advance model capabilities in secure coding, vulnerability remediation, and defensive cybersecurity.
Research Engineer / Research Scientist, Pre-training - Develop the next generation of large language models on Anthropic's Pre-training team.
Research Engineer / Scientist, Alignment Science - Contribute to exploratory experimental research on AI safety with a focus on risks from powerful future systems.