Remote Machine Learning Engineer

il y a 4 semaines

Paris, Île-de-France Tether Operations Limited Temps plein
Join Tether and Shape the Future of Digital FinanceAt Tether, we're not just building products, we're pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Innovate with TetherTether Finance: Our innovative product suite features the world's most trusted stablecoin, USDT, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET, our flagship app that redefines secure and private data sharing.Tether Education: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.Tether Evolution: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.We've grown fast, stayed lean, and secured our place as a leader in the industry.If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.We are looking for a motivated and skilled machine learning engineer to join our dynamic Brain & AI team. Collaborate closely with data scientists to pioneer research in generative modeling and representation learning.Identify bottlenecks in data processing pipelines and devise effective solutions, improving performance and reliability.Adapt machine learning and neural network algorithms to optimize performance in various computing environments, including distributed clusters and GPUs.Basic Qualifications:Strong programming skills in Python, with experience in developing machine learning algorithms or infrastructure using Python and PyTorch.Experience in deep learning techniques such as supervised, semi-supervised, self-supervised learning, and/or generative modeling.Preferred Qualifications:Degree in Computer Science, Statistics, Informatics, Information Systems, or another quantitative field.Experience with data and model visualization tools.
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