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Define the multi-year roadmap for AI/ML fraud prevention platforms, including graph intelligence and MLOps, to reduce fraud loss while maintaining customer experience.
Build and optimize distributed GPU training infrastructure for large neural networks, focusing on PyTorch, Megatron-LM, and DeepSpeed to maximize throughput and stability at scale.
Leads SoC-level verification for a semiconductor company’s edge AI processor (GPNPU), designing testbenches, verifying subsystems (NoC, PCIe/UCIe, DDR), and ensuring hardware-software co-simulation coverage using UVM, Verilog, assembly, and Python.
Designs and optimizes large language models (LLMs) for natural language processing, tuning neural networks on vast unlabeled text datasets to enable advanced AI applications like virtual agents and generative AI solutions.
Annapurna Labs stands at the forefront of hardware/software co-design, leading innovation not just within Amazon Web Services (AWS) but across the entire industry. We design and build every component of our hardware…
Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into…
Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and…
Research engineer translating biometrics and AI research into scalable production software using ML/DL, computer vision, C++, and Python to build biometric recognition systems at Thales.
Build and scale ML systems for identity resolution, audience intelligence, and personalization across WBD’s streaming brands using Databricks, Snowflake, and AWS.
Build and deploy ML systems for identity resolution, audience modeling, and personalization on AWS/Databricks, using PyTorch, Spark, and agentic AI workflows to power WBD’s streaming and ad platforms.
Lead the machine-learning systems that rank, recommend, and retrieve restaurants and menu items for millions of diners, using deep learning, embeddings, and LLMs to optimize conversion and long-term value.
Lead a new analytics team that builds statistical models and predictive insights to guide financial decisions for military members, using SQL, SAS, and cloud data tools.
As an Advanced AI Engineer at Honeywell Aerospace, you will provide technical contributions to the development of AI-driven engineering design tools and physics-based machine learning models. This role focuses on…
Designs and implements deep learning models for autonomous truck perception, planning, and control, using PyTorch/TensorFlow and state-of-the-art neural architectures.
Develop and optimize deep learning models for autonomous truck perception, mapping, and planning using PyTorch, collaborating with cross-functional teams to integrate solutions into production pipelines.
J.P. Morgan is seeking a Vice President, Applied AI/ML Lead in New York to drive high-impact AI/ML capabilities across the payments ecosystem. The role involves applying advanced neural networks and building…
Design and optimize compilers for Apple’s Neural Engine to accelerate AI workloads on devices like Vision Pro and iPhone.
Senior Scientist applies machine learning and molecular modeling to design and optimize antibody therapeutics for cancer and immune diseases using protein data and advanced AI methods.
Build and deploy AI/ML models for network anomaly detection, root-cause analysis, and event correlation using GNNs, LLMs, and MLOps pipelines.
Salary: $65,000 – $75,000 per year NOTE: This position is dependent on receiving MBIE funding. Please read the eligibility requirements below prior to applying. The position is for a 6-month contract. About the Role:…
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