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The opportunity Unity's ML Engineering Infrastructure team builds the platform that powers machine learning across the company, from feature generation and training data pipelines to distributed training,…
SRC, Inc. is currently seeking a Senior AI/ML Engineer to lead the technical execution of machine learning and generative AI efforts supporting ISR, EW, advanced sensing, and decision science missions. This role owns…
Join us and help shape the future of AI by defining the narrative around document understanding. About the Role LlamaIndex makes enterprise data useful for AI applications. You will own engineering execution, technical…
Research and build deep-learning systems for price forecasting in a proprietary trading firm, using frameworks like PyTorch or JAX and optimizing training/inference pipelines.
Optimizes deep-learning pipelines and GPU frameworks to speed up AI-driven trading strategies, working with PyTorch, JAX, CUDA and low-level GPU programming.
Optimize distributed AI training for 100B+ parameter models across 100k+ GPUs, writing CUDA/Triton kernels and co-designing hardware-efficient training recipes.
Develops large-scale video foundation models for humanoid robot autonomy by training on real-world and robot-collected video data to capture motion, interaction, and temporal structure.
Own Your Intelligence Prime Intellect is building the open superintelligence stack: the infrastructure frontier AI labs build internally, made available to every ambitious AI team. Our platform, Lab, unifies compute,…
Overview Team Purpose The Artificial Intelligence (AI) Infrastructure Engineering Systems team at Microsoft builds the cloud platform, engineering infrastructure, and developer systems that enable teams to develop,…
Build and scale the machine-learning infrastructure that powers Quince’s AI-driven retail platform, designing training pipelines, feature stores, and real-time inference systems on AWS and Kubernetes.
Senior Engineering Manager leading Quince's MLOps team to build and scale the infrastructure powering production machine learning for its e-commerce business — model training, deployment, serving, and monitoring — on cloud-native tooling like AWS, Kubernetes, Terraform, SageMaker, and Kubeflow, while mentoring engineers and managing compute costs.
Staff Product Manager on Lambda's Foundational Infrastructure team, defining how customer data is stored, priced, and delivered to GPUs on the AI cloud, plus the networking, VPC, and connectivity around it. Needs 7+ years of PM experience, ideally on cloud storage or networking products, working onsite in Bellevue or San Francisco 4 days/week.
Staff ML Engineer / Technical Lead on Pinterest's User and Content Foundations org, setting technical direction for foundational content-understanding systems. Day to day: leading research-to-production ML efforts across visual representation learning, VLMs, LLMs, sequence modeling, and large-scale distributed training that power relevance, personalization, search, and ads.
About AQEMIA AQEMIA is a drug invention company dedicated to creating entirely new medicines to address major unmet medical needs. At the core of our mission is QEMI , our proprietary molecule-invention platform, which…
A 6-month, in-person research internship in Palo Alto applying deep learning (JAX/TensorFlow/PyTorch) to molecular and cell biology, contributing to GenBio AI's AIDO virtual cell models. The intern develops and debugs ML models — generative models, GNNs, large-scale training — at the intersection of AI and biology.
AI71 in Abu Dhabi is hiring an MLOps Engineer to own ML infrastructure strategy — how LLMs and deep learning models are deployed, fine-tuned, and served at scale across SaaS and air-gapped on-prem environments. Core stack: Kubernetes, Python, AWS/Azure/GCP, vLLM/Triton/TGI, MLflow/Kubeflow, DeepSpeed/FSDP.
London | £250k-£700k TC | Quant Trading / Systematic Funds I'm working with several of the world's leading quantitative trading firms and systematic investment managers looking for exceptional engineers to build and…
Overview We are building and operating frontier-scale AI supercomputers used to train the world’s most advanced models. The backend network is a critical part of the machine: a single degraded NIC, switch, link, or…
Our client is a fast-scaling AI infrastructure operator building out next-generation GPU compute campuses across multiple European countries, supporting some of the largest AI training and inference workloads in the…
About the role Join our Humanoid Robotics R&D team to develop the intelligence behind next-generation humanoid robots. You will research, train, fine-tune, evaluate, and deploy Vision-Language Models (VLMs) and…
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