Stay safe on Himalayas
Never send money to companies. Jobs on Himalayas will never require payment from applicants.
Please let Tether Operations Limited know you found this job on Himalayas. This helps us grow!
Learn more about the company and their company culture.
Here are other jobs you might want to apply for.
TLTether Operations Limited, launched in 2014, is a blockchain-enabled platform designed to facilitate the use of fiat currencies in a digital manner.
Employee count: 51-200
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.
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.
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.
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.
As a member of the AI model team, you will drive innovation in reinforcement learning approaches for advanced models. Your work will optimize decision-making and adaptive behavior to deliver enhanced intelligence, improved performance, and domain-specific capabilities for real-world challenges. You will work across a broad spectrum of systems, including resource-efficient models designed for limited hardware environments and complex multi-modal architectures that integrate data such as text, images, and audio.
We expect you to have deep expertise in designing reinforcement learning systems and a strong background in advanced model architectures. You will adopt a hands-on, research-driven approach to developing, testing, and implementing novel reinforcement learning algorithms and training frameworks. Your responsibilities include curating specialized simulation environments and training datasets, strengthening baseline policy performance, and identifying as well as resolving bottlenecks in the reinforcement learning process. The ultimate goal is to unlock superior, domain-adapted AI performance and push the limits of what these models can achieve in dynamic, real-world environments.
Develop and implement state-of-the-art reinforcement learning algorithms designed to optimize decision-making processes in both simulated and real-world settings. Establish clear performance targets such as reward maximization and policy stability.
Build, run, and monitor controlled reinforcement learning experiments. Track key performance indicators while documenting iterative results and comparing outcomes against established benchmarks.
Identify and curate high-quality simulation environments and training datasets that are tailored to specific domain challenges. Set measurable criteria to ensure that the selection and preparation of these resources significantly enhance the learning process and overall model performance.
Systematically debug and optimize the reinforcement learning pipeline by analyzing both computational efficiency and learning performance metrics. Address issues such as reward signal noise, exploration strategy, and policy divergence to improve convergence and stability.
Collaborate with cross-functional teams to integrate reinforcement learning agents into production systems. Define clear success metrics such as real-world performance improvements and robustness under varied conditions and ensure continuous monitoring and iterative refinements for sustained domain adaptation.
A degree in Computer Science or related field. Ideally PhD in NLP, Machine Learning, or a related field, complemented by a solid track record in AI R&D (with good publications in A* conferences).
Proven experience with large-scale reinforcement learning experiments, including online RL techniques such as Group Relative Policy Optimization (GRPO), is essential. Your contributions should have led to measurable improvements in domain-specific decision-making and overall policy performance.
Deep understanding of reinforcement learning algorithms is required, including state-of-the-art online RL methods and other gradient-based optimization approaches like policy gradients, actor-critic, and GRPO. Your expertise should emphasize enhancing policy stability, exploration, and sample efficiency in complex, dynamic environments.
Strong expertise in PyTorch and relevant reinforcement learning frameworks is a must. Practical experience in developing RL pipelines, from simulation and online training to post-training evaluation and deploying RL-based solutions in production environments is expected.
Demonstrated ability to apply empirical research to overcome reinforcement learning challenges such as sample inefficiency, exploration-exploitation tradeoffs, and training instability. You should be proficient in designing robust evaluation frameworks and iterating on algorithmic innovations to continuously push the boundaries of RL agent performance.
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.
Full Time
Spain +/- 0 hoursLearn more about Tether Operations Limited and their company culture.
Tether Operations Limited, launched in 2014, is a blockchain-enabled platform designed to facilitate the use of fiat currencies in a digital manner. Since its inception, Tether has aimed at disrupting traditional financial systems by offering a more modern approach to monetary transactions. This enables users to confidently transact with traditional currencies across multiple blockchain networks.
Tether has established itself as the first and largest stablecoin provider globally, offering unmatched liquidity and facilitating billions of transactions. The company operates on a fully transparent basis and ensures that all Tether tokens, primarily the USD₮, are backed 100% by a reserve of corresponding fiat currencies. This commitment to transparency is accompanied by regular disclosures regarding total assets and reserves, reinforcing trust within the cryptocurrency ecosystem.
TL51-200 employees
2014
Paolo Ardoino
KE
AT, FR + 8 moreEmployee count: 51-200
Explore the variety of open remote roles at Tether Operations Limited, offering flexible work options across multiple disciplines and skill levels.
TL
United Arab Emirates onlyEmployee count: 51-200
TL
Romania onlyEmployee count: 51-200
TL
Poland onlyEmployee count: 51-200
Find your next opportunity by exploring profiles of companies that are similar to Tether Operations Limited. Compare culture, benefits, and job openings on Himalayas.
Sign up now and join over 100,000 remote workers who receive personalized job alerts, curated job matches, and more for free!
BI
OK
ZHFind your next opportunity by exploring profiles of companies that are similar to Tether Operations Limited. Compare culture, benefits, and job openings on Himalayas.
Inspired by Bitcoin, we're devoted to enabling people to transact and interact freely and effortlessly around the world.
OKX is a global cryptocurrency exchange and Web3 technology company, offering trading, wallet services, and access to decentralized finance. Founded in 2017, it serves millions of users in over 100 countries.
Zero Hash is a B2B embedded infrastructure platform that allows any platform to integrate digital assets natively into its own customer experience quickly and easily, handling the entire back-end complexity and regulatory licensing.
Paxos Trust Company is a regulated blockchain infrastructure platform that enables enterprises to tokenize, custody, trade, and settle assets. Their products aim to create a more open and efficient financial system.
TTThe Tie is the premier provider of information services for digital assets, offering comprehensive data and tools for institutional investors.
stakefish is a leading validator for Proof of Stake blockchains, offering non-custodial solutions for secure staking.
Sign up now and join over 100,000 remote workers who receive personalized job alerts, curated job matches, and more for free!
Spain onlyJoin the remote work revolution
Join over 100,000 job seekers who get tailored alerts and access to top recruiters.
United States
AL, AD + 48 more
BR, CA + 10 more
AR, BR + 2 more
Norway only
Estonia only
United Kingdom only
