- Quadric Inc. (Burlingame, CA)
- …accelerators in the industry today that can only accelerate a portion of a machine learning graph, the Quadric GPNPU executes both NN graph code and conventional C++ ... DSP and control code. Role: The Full‑Stack Engineer is key to making the Quadric product and toolchain easily accessible and usable via a webplatform (also known as "DevStudio"). The Full‑Stack Engineer will [1] implement new features for the webplatform in… more
- Amazon (San Francisco, CA)
- …for defining key research directions, adopting or inventing new machine learning techniques, conducting rigorous experiments, publishing results, and ensuring ... that research is translated into practice. You will develop long‑term strategies, persuade teams to adopt those strategies, propose goals and deliver on them. You will also participate in organizational planning, hiring, mentorship and leadership development.… more
- Credence Llc (Virginia, MN)
- …Security Operations Center (NSOC),Application Development Machine Learning (ML),Agile,SDLC, Healthcare Informatics,Software Development/Engineering,Low/No-Code ... platforms,Robotic Process Automation (RPA) Additional Requirements: Understanding of ITIL, Agile, Service-Oriented Architecture, Component-Based Development, Lean Six Sigma Process Improvement, DevOps, Automated Testing and Deployment, Microservices, and… more
- NVIDIA Corporation (Santa Clara, CA)
- …institutes in Japan, promoting the adoption GPU-accelerated computing solutions-including machine learning, deep learning, and especially generative AI for ... scientific discovery and research.**What you'll be doing: Work alongside research teams worldwide adopting NV's GenAI SW for scientific data/models* Debug, profile and recommend optimizations* Provide customer feedback back into engineering teams on improving… more
- TWG Global AI (New York, NY)
- …role demands 8+ years of experience in data science, with expertise in advanced machine learning and Python. The candidate will mentor a team and ensure models are ... operationalized efficiently. This hybrid position offers competitive pay, a bonus, and comprehensive benefits. Join us to drive enterprise innovation and AI responsible practices. #J-18808-Ljbffr more
- Apple Inc. (Cupertino, CA)
- …Candidates should have extensive experience in software development and machine learning applications related to audio. Competitive compensation and comprehensive ... This role involves developing AI-driven features for Logic Pro and GarageBand, collaborating with diverse teams, and optimizing ML models for deployment.… more
- UnitedHealth Group (Eden Prairie, MN)
- …management, or commercialization, with significant experience in AI or machine learning-powered products or platforms Experience with external partnership models ... such as: constructing joint-ventures to reduce risk related to innovation; establishing contract-based research collaborations to validate potential novel applications of 3rd party technology; technology licensing arrangements (eg white-label ); and/or… more
- Apple Inc. (Santa Clara, CA)
- …team. This role involves leading the development of search technologies and large-scale machine learning systems. The ideal candidate will have over 5 years of ML ... experience, a strong background in natural language processing, and proven leadership skills. The position offers a competitive salary, comprehensive benefits, and opportunities for professional growth. #J-18808-Ljbffr more
- Vinci4d (Palo Alto, CA)
- …strong advantage. Startup experience is a strong advantage. Experience with Scientific Machine Learning techniques is a definite advantage. You are excited about ... entrepreneurship, taking things from 0 to 1, and have a continuous learning mindset. You are excited about building a solver that will increase engineer productivity by orders of magnitude You thrive when you have autonomy and ownership over your work Location… more
- BioLegend, Inc. (Boston, MA)
- …who integrates and orchestrates the entire lifecycle of artificial intelligence (AI) and machine learning (ML) projects. You will be responsible for bridging the gap ... between AI researchers, and traditional software development teams to ensure AI models are reliably built, tested, and deployed into production at scale. This role requires a blend of deep expertise in DevOps principles, software engineering, and AI/ML… more
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