Machine Learning Engineer (100% remote)
Machine Learning Engineer (100% remote)

Machine Learning Engineer (100% remote)

London Full-Time 36000 - 60000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Develop AI models to decode brain activity and enhance neural understanding.
  • Company: Join Tether, a leader in digital finance and blockchain technology.
  • Benefits: Enjoy 100% remote work, collaborate globally, and access innovative projects.
  • Why this job: Be part of groundbreaking AI and neuroscience initiatives that push boundaries.
  • Qualifications: Degree in a quantitative field and 3+ years of relevant experience required.
  • Other info: Work with top minds in fintech and contribute to revolutionary projects.

The predicted salary is between 36000 - 60000 £ per year.

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:
  • 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. #J-18808-Ljbffr

Machine Learning Engineer (100% remote) employer: Tether Operations Limited

At Tether, we pride ourselves on being a leading innovator in the fintech space, offering a fully remote work environment that fosters collaboration among a diverse team of global talent. Our commitment to transparency and sustainability, combined with opportunities for professional growth and cutting-edge projects in AI and neuroscience, makes us an exceptional employer for those looking to make a meaningful impact in digital finance. Join us to push the boundaries of technology while enjoying a supportive culture that values your contributions and encourages continuous learning.
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Contact Detail:

Tether Operations Limited Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Machine Learning Engineer (100% remote)

✨Tip Number 1

Familiarise yourself with the latest advancements in AI and neuroscience. Tether is at the cutting edge of integrating these fields, so showcasing your knowledge about recent breakthroughs or technologies can set you apart during discussions.

✨Tip Number 2

Engage with the Tether community on platforms like LinkedIn or relevant forums. By connecting with current employees or participating in discussions about their projects, you can gain insights that will help you tailor your approach and demonstrate genuine interest.

✨Tip Number 3

Prepare to discuss your experience with deep learning frameworks, particularly PyTorch. Be ready to share specific examples of projects where you've successfully implemented machine learning algorithms, as this will highlight your practical skills.

✨Tip Number 4

Stay updated on Tether's products and initiatives, especially those related to brain-computer interfaces. Understanding their mission and how your role as a Machine Learning Engineer fits into their vision will help you articulate your value during interviews.

We think you need these skills to ace Machine Learning Engineer (100% remote)

Deep Learning Algorithms
Generative Modeling
Representation Learning
Python Programming
PyTorch Framework
Data Processing Pipelines
Neural Network Optimization
Analytical Skills
Project Management
Cross-Functional Collaboration
Scientific Research Methodology
Statistical Analysis
Experience with Unstructured Datasets
Model Visualization Tools
Familiarity with Neural Data Techniques

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience in machine learning, deep learning, and any specific projects related to AI and neuroscience. Use keywords from the job description to align your skills with what Tether is looking for.

Craft a Compelling Cover Letter: In your cover letter, express your passion for fintech and how your background aligns with Tether's mission. Mention specific projects or experiences that demonstrate your expertise in developing AI models and working with neural data.

Showcase Your Projects: If you have worked on relevant projects, especially those involving generative models or brain-computer interfaces, include them in your application. Provide links to your GitHub or any publications to showcase your work.

Highlight Collaboration Skills: Tether values teamwork, so emphasise your ability to collaborate with cross-functional teams. Share examples of past experiences where you successfully worked with others to achieve project goals.

How to prepare for a job interview at Tether Operations Limited

✨Showcase Your Technical Skills

As a Machine Learning Engineer, it's crucial to demonstrate your programming prowess, especially in Python and PyTorch. Be prepared to discuss specific projects where you've developed machine learning algorithms or deep learning models, highlighting the challenges you faced and how you overcame them.

✨Understand Tether's Mission

Familiarise yourself with Tether's innovative approach to digital finance and AI integration. During the interview, express your enthusiasm for their mission and how your skills can contribute to their goals, particularly in bridging AI and neuroimaging.

✨Prepare for Technical Questions

Expect in-depth technical questions related to deep learning techniques, data processing, and model optimisation. Brush up on your knowledge of generative models and representation learning, as well as any relevant experience with neural data, to confidently tackle these queries.

✨Demonstrate Collaboration Skills

Tether values teamwork, so be ready to share examples of how you've successfully collaborated with cross-functional teams. Highlight your project management skills and how you've contributed to a dynamic environment, ensuring you convey your ability to work well with others.

Machine Learning Engineer (100% remote)
Tether Operations Limited
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  • Machine Learning Engineer (100% remote)

    London
    Full-Time
    36000 - 60000 £ / year (est.)

    Application deadline: 2027-09-01

  • T

    Tether Operations Limited

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