Ai Research Engineer

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 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 Responsibilities 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 or 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