Machine Learning Engineer (100% remote- Poland)

Join Tether and Shape the Future of Digital Finance
At 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. Transparency is the bedrock of everything we do, ensuring trust in every transaction.

Innovate with Tether
Tether 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.
But that’s just the beginning: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.

Why Join Us?
Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. 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.
Are you ready to be part of the future?

About the job

At Tether, we are at the forefront of integrating artificial intelligence with brain-computer interface technologies. Our projects leverage deep learning, generative models, and representation learning to decode and interpret brain activity. With our foundation in both established and cutting-edge AI infrastructure, our mission is to bridge the gap between AI and neuroimaging, driving innovation that’s not only revolutionary but also accessible, transparent, and privacy-focused.

Job Description:

We are looking for a motivated and skilled machine learning engineer to join our dynamic Brain & AI team. This role focuses on developing AI models that enhance our understanding of neural mechanisms and apply this knowledge to real-world applications. You will be instrumental in pushing the boundaries of what’s possible in AI and neuroscience, helping to solve some of the most complex and fascinating challenges in the field today.

Responsibilities:

• Develop and evaluate scalable deep learning algorithms that are central to our brain decoding initiatives.

• 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.

• Maintain high standards of code quality, organization, and automatization across all projects.

• Adapt machine learning and neural network algorithms to optimize performance in various computing environments, including distributed clusters and GPUs.

Requirements

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.

• Proficient in managing unstructured datasets with strong analytic skills.

• Demonstrated project management and organizational skills.

• Proven ability to support and collaborate with cross-functional teams in a dynamic environment.
  
  

Preferred Qualifications:

• Degree in Computer Science, Statistics, Informatics, Information Systems, or another quantitative field.

• Familiarity with deep learning libraries such as Huggingface, Transformers, Accelerator and Diffuser.

• Hands-on experience in training and fine-tuning generative models like diffusion models or large language models such as GPTs and LLAMAs.

• Experience with data and model visualization tools.