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Senior Data Scientist collaborating with R&D scientists at Qnity Electronics in Cleveland, applying statistical modeling, machine learning, deep learning, computer vision, and generative AI/LLMs to solve scientific and engineering problems in the semiconductor and advanced electronics space.
The Machine Learning Engineer will design, train, and deploy reinforcement learning systems for complex decision-making problems. The role requires expertise in Python, deep learning frameworks, and reward modeling to move RL solutions from research into production environments.
An internship optimizing semiconductor backend test processes and AI-enabled workflows to improve yield, quality, and reliability in manufacturing.
Leads AI/ML development for Barclays’ Research Composer platform, designing and integrating LLM modules into a web-based research tool using Java microservices and TypeScript frontends.
The Lead Data Scientist will develop and implement advanced machine learning and statistical models to analyze aftermarket data from connected equipment. This role involves leading cross-functional projects to drive business insights and requires expertise in Python and cloud-based analytics.
The Specialist Data Scientist will deliver end-to-end analytical solutions and actionable insights for the Mass Foundation Cluster by leveraging statistical modeling, machine learning, and data visualization. The role involves collaborating with business partners to solve complex problems using tools like SQL, Python, R, and SAS.
Develop and deploy machine learning and deep learning models for OCT-based intravascular imaging systems, including semantic segmentation, feature detection, and quantitative analysis, using Python and frameworks like PyTorch/TensorFlow in a regulated medical device environment.
A fantastic opportunity has become available as a Risk Manager Lead in our thriving Risk Decision & Data Science team – winners of the “Credit Modelling & Risk Team of the Year” at both the 2022 and 2020 Credit…
COMPANY OVERVIEW We exist to make food the world loves. But we do more than that. Our company is a place that prioritizes being a force for good, a place to expand learning, explore new perspectives and reimagine new…
Own verification for custom AI acceleration units—translating microarchitecture into test/coverage plans, building SystemVerilog/UVM environments, developing GEMM/GEMV reference models, and supporting pre-silicon bring-up.
Develop, fine-tune, and deploy LLMs and ML systems for a B2B SaaS org-chart platform, building RAG pipelines, MCP servers, and Python microservices integrated into the web and cloud stack.
Build and improve machine learning systems for a proprietary trading firm, focusing on infrastructure, model selection, and research workflows using PyTorch, Jax, or TensorFlow.
Senior Computer Vision Engineer splitting time between hypothesis-driven R&D and production implementation, optimizing deep learning and VLMs for edge deployment in retail environments using PyTorch, TensorRT, CUDA, and Docker.
Space is a warfighting domain. True Anomaly seeks those with the talent and ambition to build the technology that secures it. OUR MISSION True Anomaly delivers decisive capabilities for space superiority. We build…
Machine Learning Engineer – Cost Index Optimization Engineering | Odense, Denmark | Full-Time Jeppesen ForeFlight builds software that airlines and pilots around the world rely on every day. From our Odense office,…
The Software Developer II will design and develop software for automotive dealerships, with a focus on integrating AI/ML solutions like LLMs into production systems. The role involves working across a full-stack environment, mentoring junior engineers, and collaborating with stakeholders to improve system architecture.
Python Developer building AI/ML applications with expertise in GenAI, LLMs (Google Gemini, OpenAI, Anthropic), NLP, and neural networks, requiring 8-10 years of apps development experience.
Senior Deep Learning Engineer developing and optimizing spatio-temporal neural networks for end-to-end autonomous driving, building scalable training pipelines, and deploying production models using Python, C++, and PyTorch/TensorFlow.
Research and train large-scale diffusion models for image and video generation, ablate architectural choices, and fine-tune models for specialized tasks like upscaling and inpainting.
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