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Contract senior full-stack developer (Dec 2026–Mar 2027, 100% onsite in Toronto) placed by Upstaff with the Government of Ontario's Land & Resources Cluster. Day-to-day: build and maintain enterprise Java/Angular applications, REST APIs, Oracle database design and data analysis, ETL pipelines, and AODA/WCAG-compliant accessible UIs.
Type of Requisition: Regular Clearance Level Must Currently Possess: Secret Clearance Level Must Be Able to Obtain: Secret Public Trust/Other Required: None Job Family: Functional Experts Job Qualifications: Skills:…
We are seeking a Systems Engineer to join our team in Singapore. We build and optimize the infrastructure that powers generalized robotics foundation models — spanning edge devices to cloud GPU clusters — with a focus…
Do you want to help define the future of technology on AWS Generative AI as part of the Specialist Solutions Architect team in the Go-To-Market (GTM) Startup team? Are you passionate about AI infrastructure and helping…
The AI and Data Analytics (AIDA) team within the Department of Radiation Oncology at Mayo Clinic is hiring a Research Fellow to help advance the next generation of AI in cancer care: ). We’re looking for an exceptional…
Why Wells Fargo: Are you looking for more? Find it here. At Wells Fargo, we're more than a financial services leader – we’re a global trailblazer committed to driving innovation, empowering communities, and helping…
Passionate about making ideas a reality? Join our welcoming world of tech and let your ideas soar. Your role We are looking for a talented and driven Data & Machine Learning Engineer to join our Airborne Early…
Career Area: Technology, Digital and Data Job Description: Your Work Shapes the World at Caterpillar Inc. When you join Caterpillar, you're joining a global team who cares not just about the work we do – but also…
To make electronics, you need chips, wafers, transistors, reticles, and... To make these, you must see, test and manufacture them at scale—faster and better than ever before. That's where KLA comes in. Whether…
Mechanical Engineer – Research & Development The Mechanical Engineer – Industrial Systems will support The Jackson Laboratory’s JMCRS (Jackson Mice & Clinical Research Services) operations and broader…
Staff+ infrastructure engineer at an AI company running managed LLM inference: design, scale, and debug production model-serving on Kubernetes across AWS, GCP, and GPU clouds — NVIDIA drivers/CUDA/NCCL, observability (latency, throughput), and reliability engineering. Onsite in San Francisco five days per week.
Moonlake (via Creatify's job board) is hiring a Member of Technical Staff to lead RL infrastructure and post-training for vision-language and code-generating agents that build and simulate 3D worlds. Day-to-day: fine-tuning, reward design, agent-trajectory data systems, and scaling multi-GPU training. On-site in San Francisco.
Builds and leads reinforcement-learning and post-training infrastructure for Moonlake's vision-language and code-generating agents that create interactive 3D world simulations. Day to day: SFT, reward modeling, agentic RL pipelines, trajectory data systems, and distributed multi-GPU training, primarily in Python with PyTorch or JAX, on-site in San Francisco.
Engineer on Moonlake's team building RL and post-training infrastructure for multimodal agents (vision-language and code-generating) that create and simulate interactive 3D worlds for robotics and embodied AI. Day to day: building SFT/preference-optimization/reward-modeling/RL pipelines, trajectory data systems, evaluations, and scaling distributed multi-GPU training. On-site in San Francisco.
The Information Intelligence team is creating groundbreaking technology for artificial intelligence, machine learning and natural language processing! The features we create are redefining how hundreds of millions of…
Design, build, and evaluate ML systems for AI safety and model evaluation applications, including reinforcement learning, LLMs, and multimodal systems, using Python and frameworks like PyTorch or JAX.
Senior Staff engineer serving as chief architect of Crusoe's cloud storage strategy for AI-scale infrastructure: defining a multi-year roadmap across NVMe hardware and S3-competitive object stores, writing systems code in C/C++/Go/Rust, and leading design reviews and performance 'tiger teams' on the IO path.
Develops and refines algorithms for autonomous vehicle motion planning, ensuring safe and predictable driving behavior in complex real-world scenarios using C++.