…foreign equivalent in Computer Science, Engineering, Mathematics, or a related field - Knowledge of machine learning model architecture and inference - 3+ years of full software…

…Experience applying machine learning, statistical modeling, optimization, or causal inference to real-world product or business problems. Strong Python, C/C++, or Go programming…

…experience reasoning about model routing, inference cost, and latency tradeoffs in production Strong software engineering fundamentals: distributed systems, API design, and testing discipline Comfort…

…Distributed ML Training, GPU architecture, ML systems, AI infrastructure, high performance computing, performance optimizations, or Machine Learning frameworks (e.g. PyTorch) Experience with NCCL…

…Thinking Machines is to build AI that extends human will and judgment. ABOUT THE ROLE Our team scales reinforcement learning for frontier models. Progress…

…ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning). Preferred qualifications: Master’s degree or PhD in Engineering, Computer Science…

…research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We…

…experience - 3+ years of scientists or machine learning engineers management experience - 3+ years of building machine learning models for business application experience - PhD, or…

…have been able to improve AWS cloud infrastructure in high-performance machine learning with Neuron, Inferentia and Trainium ML chips, in networking and security…

…analysis with big data, causal inference, machine learning and data science. • Demonstrated ability to build complex economic models from scratch and take them to…

The Music Catalog Quality team is seeking a passionate and talented Machine Learning Engineer (MLE) to join us. The Music Catalog Quality team is…

…secure base images, hardened Amazon Machine Images (AMIs), runtime protections Cloud Security Posture Management (CSPM) tooling — deployment, tuning, and coordinating remediation workflows through engineering…

…Experience working with AI-powered products, machine learning platforms, or modern cloud infrastructure. Technical background that enables effective partnership with engineering teams on architecture…

…As a Machine Learning Researcher/Engineer on the ASE Search team, you will help design and develop next-generation search and conversational discovery features…

…In this role, you will develop machine learning models and deploy them into production systems, working in close collaboration with software engineers, computer vision…

…research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We…

…This role is specifically focused on our Model API product offering at Baseten. If you’re passionate about AI infrastructure, developer engagement, and simplifying…

…systems, or experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution - Experience using managed…

…managing teams - Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution, or experience in…

…machine learning innovation in industry- Experience mentoring junior scientists / engineers. - Experience building foundation models for industry or research - Experience designing multi-modal model architectures…

…Learning Frameworks and Libraries (NumPy, SciPy, cuBLAS, cuDNN) Data Preprocessing, Training Acceleration (CUDA, cuDNN, NCCL), Convolution Operations (cuDNN), Real-Time Inference (TensorRT) Building Infrastructure…

…Experience building or supporting production AI/ML platforms (training, deployment, and model serving/inference), including GPU infrastructure/tooling. Strong DevOps/platform engineering practices: CI…

…cloud infrastructure, regulated, or mission-critical environments. Experience in data science and applied machine learning, including classical ML techniques, deep learning models, model evaluation…

…About this role As the Senior Staff Machine Learning Platform Engineer, you will own the technical vision and evolution of Faire’s ML platform…

…You will report to the Manager of Machine Learning. Responsibilities: Build and operate Kubernetes, multi-node GPU clusters, and networking infrastructure for distributed ML…