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The Machine Learning Scientist will develop and deploy AI-based weather prediction models by integrating atmospheric science with machine learning techniques. This role involves working with satellite data and large geophysical datasets to transition research into operational forecasting products.
Builds AI agents and models for high-frequency trading, using deep learning and time-series forecasting to monitor systems and support research workflows.
Research and build ML-driven trading models using deep learning and NLP to forecast market behavior and enhance financial predictions.
C++ Software Engineer on the exchange trading development team building proprietary low-latency trading systems—from market data processing to order dispatch—using C++ and Python on Linux, with opportunities in FPGA/GPU programming.
About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of…
Develops AI-driven molecular models to advance drug discovery by linking quantum chemistry, reactivity data, and generative design for covalent drug targets, collaborating with chemistry and biology teams.
Kulu is seeking a Senior AI Full Stack Engineer to build AI agents for software onboarding using React, Python, FastAPI, and various AI/ML technologies. The role involves designing production AI systems, integrating LLMs, and working with computer vision in a high-growth startup environment.
Lead the design and deployment of AI-enabled embedded systems for automotive/industrial use, optimizing C++/OpenVX pipelines across multi-vendor AI chiplet platforms with safety and security constraints.
The Embedded AI Software Engineer will design and deploy AI-enabled embedded systems for automotive and industrial environments, focusing on model optimization, heterogeneous chiplet integration, and safety-critical software development using C++, OpenVX, and OpenCL.
Design and deploy AI-enabled embedded systems on a multi-vendor AI chiplet platform, bridging hardware, AI accelerators, and software stacks in automotive/industrial environments using C++, OpenVX, OpenCL, and Vulkan.
The Embedded AI Software Engineer will design and deploy AI-enabled embedded systems for automotive and industrial environments, focusing on model optimization and hardware integration. The role involves working with C++, OpenVX, OpenCL, and various AI accelerator toolchains to bridge software stacks with heterogeneous chiplet platforms.
Senior Deep Learning Engineer, Computer Vision imagry.E4.E30@comeetapply.com Location: San Jose, CA , On Site We are looking for a capable and experienced Sr. Deep Learning Engineer to join our R&D team. The…
The Associate Director of Machine Learning will lead the development of generative AI and agentic systems to transform financial analysis at Fitch Ratings. This senior individual contributor role focuses on architecting production-grade AI platforms, establishing technical standards, and mentoring engineers within the company's new Toronto-based AI innovation hub.
Role overview We are looking for a Staff Data Scientist to lead the development of advanced machine-learning capabilities across large-scale enterprise datasets. This is a senior individual-contributor role combining…
The Senior Software Test Engineer will validate neural network operators and libraries for AI computational storage products using C++ and Python. The role involves performance benchmarking, numerical accuracy validation, and debugging across the compiler, runtime, and hardware stack.
Leads end-to-end validation of AI software stack (neural network operators, compilers, runtimes, memory management) to ensure correctness, scalability, and performance for a next-gen AI computational storage platform.
The role As automotive system engineer, you will be responsible for designing the L2/L3 automotive grade system based on our AV2.0 approach. This includes the strategy and the concept of how to embed our fundamentally…
Design and implement hardware-aware quantization and optimization methods for LLMs and diffusion models to maximize performance on Neurophos's optical inference engines.
NVIDIA is hiring 2027 New College Graduates for Deep Learning and High-Performance Computing Engineering roles in Shanghai, focusing on areas like LLM inference optimization, AI compilers, parallel computing, and GPU architecture.
Solutions Architect driving adoption of NVIDIA Physical AI and AI for Science solutions (PhysicsNeMo, Omniverse, Earth-2) with researchers and institutions across Taiwan, focusing on end-to-end AI workflow design on GPU-accelerated platforms.
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