Deep learning jobs in crypto and blockchain companies

Rivalz NetworkRivalz Network’s infrastructure abstracts the complexities of connecting AI services and agents to various real-world resources. By orchestrating resource-backed agents, providing a decentralized data layer for secure processing and retrieval, enabling verifiable requests through an AI oracle, mapping both identity and resources seamlessly, and offering an AI x Web3 platform for fast application publishing and monetization, Rivalz empowers teams to bridge digital and physical ecosystems. Our ultimate goal is to unlock the full potential of an agent-centric future, enabling developers and no-code builders alike to harness AI-driven solutions with ease.Working at RivalzWe embrace a flexible, globally distributed environment that allows our team members to work from where they’re most comfortable—whether that’s at home or on the move. We leverage virtual collaboration and remote-friendly policies, enabling you to balance your personal life, family commitments, and professional goals. Wherever you are, you’ll be an integral part of our team which is shaping the future of AI, blockchain, and decentralized infrastructures. Join Rivalz’s forward-thinking AI Research team to push machine learning and agent-centric design, delivering impactful AI-Web3 solutions that empower innovators worldwide.About the Role: AI Researcher (Mid-Level)As a Mid-Level AI Researcher at Rivalz, you will play a key role in advancing our AI capabilities for seamless integration with real-world resources. You’ll spearhead novel research initiatives, publish findings, and architect solutions that drive our decentralized, agent-centric vision. If you’re eager to explore cutting-edge machine learning, deep learning, and blockchain, while seeing your work rapidly deployed in production, this is the perfect opportunity for you. Key ResponsibilitiesInnovate & Research: Conduct advanced AI research in ML and DL to address complex challenges.Design & Prototype: Architect and evaluate novel AI models for decentralized infrastructures.Collaboration & Deployment: Work with cross-functional teams to develop production-ready AI solutions.Open-Source & Community: Maintain a strong GitHub presence and engage with the broader AI/Web3 community.Thought Leadership: Stay current with emerging AI trends to continually refine Rivalz’s infrastructure.Real-World Integration: Expand AI’s reach into both digital and physical ecosystems for seamless interoperability.QualificationsEducational Background: Bachelor’s in Computer Science or related field (Master’s/PhD preferred).Technical Expertise: Proficiency in Python, ML frameworks, and experience with LLMs/generative AI.Blockchain Familiarity: Exposure to decentralized systems and their intersection with AI is a bonus.Research & Publication: Track record in AI research, open-source contributions, or academic publications.Collaboration & Communication: Strong interpersonal skills for distributed team coordination.Adaptability & Problem-Solving: Ability to navigate evolving technologies with iterative, data-driven approaches.Join us at Rivalz and be part of a pioneering team that’s redefining how AI agents interact with the world. Contribute your expertise, collaborate across disciplines, and help shape the agent-centric future.How to Apply:Submit your cover letter and resume at [email protected]

Join Tether and Shape the Future of Digital FinanceAt 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 TetherTether 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 and apply this knowledge to real-world applications. 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.Basic Qualifications: 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.Proficient in managing unstructured datasets with strong analytic skills.Demonstrated project management and organizational skills.Proven ability to support and collaborate with cross-functional teams in a dynamic environment. Preferred Qualifications: Degree in Computer Science, Statistics, Informatics, Information Systems, or another quantitative field.Familiarity with deep learning libraries such as 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.

Machine intelligence will soon take over humanity’s role in knowledge-keeping and creation. What started in the mid-1990s as the gradual off-loading of knowledge and decision making to search engines will be rapidly replaced by vast neural networks - with all knowledge compressed into their artificial neurons. Unlike organic life, machine intelligence, built within silicon, needs protocols to coordinate and grow. And, like nature, these protocols should be open, permissionless, and neutral. Starting with compute hardware, the Gensyn protocol networks together the core resources required for machine intelligence to flourish alongside human intelligence.As a Technical Recruiter at Gensyn, your responsibilities would see you: Manage the end-to-end recruitment process, from sourcing, assessing, scheduling interviews, collecting feedback, and extending offers Utilise various sourcing techniques to identify and attract passive candidates within the machine learning, artificial intelligence, and distributed systems domains Act as a direct extension of our engineering team and ensure an outstanding candidate experience Develop a deep understanding of Gensyn’s mission and principles and communicate them effectively with candidates Continuously strive to improve the recruiting process using data and pipeline metrics Stay updated on industry trends, market insights, and competitive intelligence to inform recruitment strategies Competencies Must have 5+ years of experience in technical recruiting Demonstrated success in hiring top engineering talent at a premier tech company or startup A track record of managing a healthy volume of candidates while simultaneously ensuring a world-class candidate experience Should have Experience hiring engineers within machine learning, artificial intelligence, and/or distributed systems Passion for Artificial Intelligence and its potential to positively impact humanity Deep appreciation for statistics and recruitment funnel metrics Nice to have Knowledge of deep learning or a solid theoretical grasp of how deep learning models function Understanding of blockchain fundamentals and how web3 business models accrue value Programming experience or have taken courses in Computer Science Compensation / Benefits: Competitive salary + share of equity and token pool Fully remote work - we hire between the West Coast (PT) and Central Europe (CET) time zones Relocation Assistance - available for those that would like to relocate after being hired (anywhere from PST through CET time zones) 4x all expenses paid company retreats around the world, per year Whatever equipment you need Paid sick leave Private health, vision, and dental insurance - including spouse/dependents [🇺🇸 only] Our Principles Autonomy Don’t ask for permission - we have a constraint culture, not a permission culture Claim ownership of any work stream and set its goals/deadlines, rather than waiting to be assigned work or relying on job specs Push & pull context on your work rather than waiting for information from others and assuming people know what you’re doing No middle managers - we don’t (and will likely never) have middle managers Focus Small team - misalignment and politics scale super-linearly with team size. Small protocol teams rival much larger traditional teams Thin protocol - build and design thinly Reject waste - guard the company’s time, rather than wasting it in meetings without clear purpose/focus, or bikeshedding Reject mediocrity Give direct feedback to everyone immediately rather than avoiding unpopularity, expecting things to improve naturally, or trading short-term pain for extreme long-term pain Embrace an extreme learning rate rather than assuming limits to your ability/knowledge No quit - push to the final outcome, despite any barriers