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AI tools, ability to automate workflows and custom GPTs); if you've only used LLMs for research, learning, brainstorming, or content generation, that will be deemed insufficient.
Internship Program Overview: Our Interns & Co-ops are our entry-level talent pipeline for GF across the globe. Summary of Role: The AI/ML Solutions team in GlobalFoundries has a primary mission of delivering data engineering, advanced analytics, and machine learning applications that advance our ...
You will: Maximize performance of our neural networks by enhancing and extending our production grade compiler Work with hardware architects and model developers to develop understanding of our unique neural network inference platform and neural networks Implement compiler support for novel featu...
Job Title: Senior Machine Learning Product Engineer (LLM / Feature Focus) Location: New York City (Relocation Available) Our client just raised a $10M Seed Round and is seeking a Senior Machine Learning Product Engineer.What are the core responsibilities? Build and deploy robust ML systems for LL...
Is driven to work with customers to have an impact on the real world Bonus points if you: Have an outstanding track record of designing and implementing machine learning systems Have experience working as both a software engineer and a data scientist About Us: At Enigma, we're building the single...
West 19th Street (22008), United States of America, New York, New YorkLead Machine Learning Engineer (Remote- Eligible)As a Capital One Machine Learning Engineer (MLE), you''ll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You''ll focus ...
Conduct data pipeline work including use of Apache Spark, Apache Arrow, Pandas, distributed computing for large-scale data processing Help cultivate best practices in MLOps, and think about the full ML lifecycle, including data, fine-tuning, deployment, reliability and monitoring Work on simplifi...
Engineering degree with 6-8 years of data engineering experience in developing and delivering big-data and machine learning platforms for global firms.
Besides shipping a great product and partaking in Patreon's Intern Summit, you'll experience San Francisco or New York City during your summer internship alongside your intern cohort About You Currently pursuing a PhD degree in Computer Science or a related technical degree (e. We're continuing t...
Engineering degree with 6-8 years of data engineering experience, in developing and delivering big-data and machine learning platforms for global firms.
Provide culturally competent case management services to individuals with substance use issues and/or living with HIV to improve their overall wellbeing.
Work at the forefront of machine learning, recognizing and harnessing its transformative potential. * Thrive in a setting that combines the agility of a start-up with the stability of a well-funded ...
Support predictive modeling efforts by refining existing models and building out data pipelines to ensure high-quality data is available for machine learning use cases. * Collaborate with product ...
Experience With Machine Learning Libraries and Frameworks (TensorFlow, MLlib) is an added advantage * Monitors industry trends and directions; develops and presents substantive technical ...
Advanced generative AI proficiency (i.e., use of multiple AI tools, ability to automate workflows and custom GPTs); if you've only used LLMs for research, learning, brainstorming, or content ...
Our team is a dynamic group of machine learning experts dedicated to revolutionizing the way we interact with video content. This team is at the forefront of developing cutting-edge artificial ...
We are a team comprised of individuals from the top research laboratories, and Big Tech companies in applying cutting-edge machine learning techniques to quantitative finance. And, no prior quant ...
Master's or PhD in Computer Science, Machine Learning, or related field * Research experience or publications in ML/AI * Experience with financial technology or financial document processing
Experience in using FPGAs to accelerate algorithms across machine learning or optimization * Experience in running large scale Monte-Carlo simulations. Experience in accelerating annealing type ...
... machine learning approach for the analysis of high content phenotypic screens. The ideal candidate is a capable, self-motivated, and dynamic personality. You will be working closely with our CSO and ...
