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.

Overview: UP.Labs is a dynamic venture studio dedicated to building innovative startup companies from the ground up. Our team thrives on solving complex problems, driving technological advancements, and creating impactful digital products. We're seeking a highly skilled professional to join our growing team and contribute to our mission of launching the next wave of successful startups.  Technical Challenge: As a Machine Learning Engineer at UP.Labs, You will design, develop, and deploy advanced machine learning and generative AI solutions that drive innovation across our venture portfolio. Your work will span the full ML lifecycle—from data pipeline architecture and model development to production deployment and optimization on cloud platforms. This is a hands-on role requiring strong technical expertise, creativity, and a passion for innovation in the transportation industry. In this role you will: - Lead the development and deployment of computer vision solutions (image classification, object detection, segmentation, OCR) alongside scalable machine learning systems including predictive models, recommendation systems, and advanced analytics pipelines. - Design and build scalable backend systems and APIs that serve ML models and integrate with data infrastructure. - Collaborate with data scientists, software engineers, and business stakeholders to identify opportunities for machine learning applications. - Implement end-to-end ML workflows, including data preparation, model training, evaluation, and deployment. - Develop and maintain production-grade ML systems, ensuring reliability and accuracy over time. - Conduct thorough model testing, validation, and monitoring to ensure accuracy and stability. - Stay current with the latest advancements in machine learning, artificial intelligence, and cloud technologies. Required Skills: - Strong experience in computer vision, including image classification, object detection, segmentation, OCR, and deploying vision-based models into production environments. - Strong proficiency in machine learning systems, with extensive experience in scalable model deployment, feature engineering, and ML operations. - Solid backend development skills with the ability to build robust, scalable systems that support ML workloads. - Advanced Python programming skills for machine learning, data processing, and backend development. - Deep expertise in Generative AI technologies, including LLMs, prompt engineering, and AI application development. - Strong experience with PostgreSQL for data storage, querying, and database optimization. - Proficiency with Databricks for big data processing, collaborative ML development, and pipeline orchestration. Preferred Expertise: - Working knowledge of Google Cloud Platform (GCP) for deploying and managing ML infrastructure. - Familiarity with Amazon Web Services (AWS) for cloud-based ML solutions. - Experience with Microsoft Azure for enterprise-scale ML deployments. UP.Labs Summary: We build high-growth technology startups that enable faster, cleaner, and safer movement of people and goods. Our vision is to transform the moving world by pairing leading corporations and entrepreneurs with a proven methodology for launching and scaling software and hardware companies. We work with corporate investors over a multi-year period to launch a portfolio of mobility-focused ventures. Our team is dedicated to the first year of a new venture’s life cycle, from ideation to minimum viable product build (and beyond) to recruiting and hiring the full-time team who will scale the business. Location: Remote

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This role offers an exciting opportunity for an experienced Machine Learning Engineer to contribute to a cutting-edge platform that drives intelligent solutions for financial services. You will design, develop, and scale backend systems for predictive modeling and generative AI, collaborating closely with cross-functional teams such as LLM Engineers, Product Owners, and Data Scientists. The position involves ownership of end-to-end software development, from architecture and coding to deployment and ongoing operations. You will help define and implement robust data strategies, enhance AI capabilities, and maintain high-performance, secure production systems. This role is ideal for a hands-on engineer who thrives in a collaborative, fast-paced environment and is eager to work on technologies that directly impact user experience and business outcomes. - Design, implement, and maintain scalable, high-performance backend services, primarily in Python and frameworks like FastAPI. - Translate business and technical requirements into actionable software designs and tasks. - Develop and optimize databases, manage schema changes, and improve query performance. - Integrate internal and external services, including APIs and AWS infrastructure, ensuring secure data flow. - Operate, monitor, and maintain production systems, ensuring high availability and reliability. - Contribute to CI/CD pipelines, automation, and infrastructure improvements. - Design data collection pipelines and support LLM-based applications, including RAG systems and agentic technologies. - Collaborate with cross-functional teams to prototype internal tools and data exploration interfaces. Qualifications - Proven experience as a Machine Learning or Backend Engineer with strong Python development skills. - Hands-on experience with cloud platforms, particularly AWS (IAM, EKS/ECS, and core services). - Experience building and scaling production applications. - Knowledge of integrating internal and external services. - Familiarity with LLMs, RAG systems, embedding vector databases, and agentic technologies preferred. - Experience with data governance, structured data principles, and Feature Stores or ELT processes preferred. - Strong problem-solving, communication, and collaboration skills. - Ability to thrive in a fast-paced, remote-first work environment. Benefits - Fully remote role with flexibility to work from anywhere in the contiguous U.S. - Competitive salary with equity/RSU opportunities. - Medical, dental, and vision coverage with multiple plan options. - Life and AD&D insurance, short-term and long-term disability coverage. - 401(k) retirement plan. - Paid time off including vacation, sick leave, and parental leave. - Employee Assistance Program (EAP) and financial literacy mentoring. - Home office stipend and pet insurance. - Supportive, inclusive, and innovative work culture.

• Build and improve inventory demand forecasting models using ML and statistical methods. • Own ML models end-to-end: data collection → feature engineering → training → deployment → monitoring → iteration. • Develop decision systems that support inventory planning, pricing, and demand decisions. • Build and maintain data pipelines and API integrations for external and internal data sources. • Work with messy real-world data to ensure model reliability through rigorous validation and testing. • Implement LLM/AI-agent workflows to translate domain logic into automated processes. • Operate independently in a small team, setting priorities, unblocking challenges, and communicating tradeoffs clearly.