Annapurna Labs was a startup acquired by AWS in 2015 and is now fully integrated. If AWS is an infrastructure company, think of Annapurna Labs as the infrastructure provider of AWS. Our org spans silicon engineering,
Annapurna Labs was a startup acquired by AWS in 2015 and is now fully integrated. If AWS is an infrastructure company, think of Annapurna Labs as the infrastructure provider of AWS. Our org spans silicon engineering,
To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job CategorySoftware Engineering Job Details About Salesforce Salesforce is the #1
Are you passionate about harnessing the power of artificial intelligence and machine learning to solve real-world challenges? At JPMorganChase, we’re transforming the way payments work in the Commercial & Investment Bank by leveraging cutting-edge document extraction
SummaryAre you passionate about building extraordinary products and embracing state-of-the-art techniques and technologies? In Apple Services Localization Engineering, we are leveraging Machine Learning and Machine Translation to expand our global product reach and bring our Services
SummaryWould you like to be a part of Apple’s AI and Machine Learning org, where we encourage and create groundbreaking technology for multi-modal models with strong agent and reasoning capabilities? The Data and Machine Learning Innovation
SummaryImagine what you could do here. At Apple, new ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and theres no telling what you
SummaryApple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making
SummaryJoin us as we build world-class groundbreaking products for our customers! Apples Responsible AI and Safety team is looking to hire a technical lead with a strong track record in Applied Research who is passionate about
SummaryApple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build or service we create is the result of us making each others ideas stronger. That
SummaryImagine what you could do here. At Apple, great ideas have a way of becoming phenomenal products, services, and customer experiences very quickly. Bring passion and dedication to your job and theres no telling what you
SummaryThe On-Device Machine Learning team at Apple enables the Research to Production lifecycle of innovative machine learning models that power magical user experiences on Apple’s hardware and software platforms. Apple is the best place to do
SummaryAre you interested in building amazing Generative AI experiences that will touch the lives of billions of people by utilizing state-of-the-art NLP and machine learning? Do you enjoy collaboration and team work to accomplish innovative ML driven
SummaryApple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making
SummaryWere seeking research engineers to build systems for breakthrough innovations in AI agents, reinforcement learning, and simulation environments. You will design and implement high-quality agent harnesses, simulation systems, and tooling that enable cutting-edge agent research. You
Meta is seeking a Staff Software Engineer to join the Systems ML Engineering team, focused on building and scaling the infrastructure and software systems that power large-scale machine learning workloads across Metas production fleet. In this role,
Minimum qualifications: Bachelor’s degree in computer science, or equivalent practical experience. 5 years of experience with software development in one or more programming languages. 3 years of experience leading multi-quarter projects, from design to implementation to
SummaryThe On-Device Machine Learning team at Apple is responsible for enabling the Research to Production lifecycle of cutting-edge machine learning models that power magical user experiences on Apples hardware and software platforms. The team builds critical
SummaryOur team is working toward a future where our devices are aware of us and our environment, they directly support our health and wellbeing, and they nudge us to be more thoughtful, present, and inspired human
Vice President Applied AI/ML Scientist As part of the Commercial & Investment Bank, J.P. Morgan Payments enables organizations of all sizes to execute transactions efficiently and securely, transforming the movement of information, money and assets. We tackle