Machine Learning Engineer (100% remote)

Tether Operations Limited; Dubai; Remote; AED 293,000 - 441,000; Full time

Job summary

A fintech company based in Dubai seeks a skilled machine learning engineer to join their Brain & AI team. The successful candidate will develop AI models connecting neuroscience with advanced technology. Candidates should have strong Python programming skills and a degree in a relevant quantitative field. This role offers a dynamic environment with an innovative team to push the boundaries of both AI and neuroscience.

Benefits

Opportunity to work with global talent

Innovative work environment

Competitive salary

Qualifications

• 3+ years of experience in AI or neuroscience.
• Experience in supervised, semi-supervised, and self-supervised learning.
• Strong scientific background with project management skills.

Responsibilities

• Develop and evaluate deep learning algorithms for brain decoding.
• Collaborate with data scientists on generative modeling research.
• Optimize machine learning algorithms for various computing environments.

Skills

Python programming

Deep learning

Analytical skills

Project management

Collaboration

Education

Degree in Computer Science or related

Tools

PyTorch

Deep learning libraries

Job description

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.

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 building encoding and decoding models and apply this knowledge to real-world applications such as brain computer interfaces. 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.

Write and revise papers, participate in conferences, communicate and disseminate results.

Basic Qualifications :

Degree in Computer Science, Statistics, Informatics, Physics, Math, Neuroscience or another quantitative field.

3+ years of experience of working in industry or research.

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.

Strong scientific background and ability to formulate and test novel hypotheses with proper experiments, draw conclusions and support claims.

Proficient in managing unstructured datasets with strong analytical skills.

Demonstrated project management and organizational skills.

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

Preferred Qualifications :

PhD and research experience in Computer Science, Statistics, Informatics, Physics, Math, Neuroscience or another quantitative field.

Scientific publications in top-tier AI and neuroscience conferences (NeurIPS, ICLR, ICML, AAAI, CVPR, Cosyne, SFN, CNN ecc) or peer reviewed journals

Familiarity with deep learning libraries such as Pytorch, 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.

Experience with non-invasive neural data (fMRI, EEG, MEG) or invasive neural recordings (ECoG, MEA, ecc).

Important information for candidates

Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles :

Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page : https : / / tether.recruitee.com /

Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website.

Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.

Double-check email addresses. All communication from us will come from emails ending in @ tether.to or@ tether.io

We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.

When in doubt, feel free to reach out through our official website.