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Location: Remote Workplace: remote ABOUT YOU   Xsolla is seeking a Principal Engineer with deep expertise in Identity and Golang backend development to lead the evolution of our authentication and authorization stack — enabling developers and players to connect safely and effortlessly across the Xsolla ecosystem.   ABOUT US   Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com. Responsibilities: Architect and lead the design of Xsolla’s next-generation identity platform, supporting authentication, authorization, single sign-on (SSO), and account federation across internal and external services. Develop high-performance Golang microservices that manage user identity, access tokens, and permission enforcement at global scale. Collaborate closely with security, DevOps, and platform engineering teams to embed Zero Trust principles and standardize access governance across services. Integrate modern IAM standards and protocols (OAuth2, OIDC, SCIM) to enhance developer experience and partner integrations. Mentor and coach engineering teams on secure service design, identity best practices, and cross-service communication patterns. Partner with product teams to ensure that identity-related features — such as player login, entitlement management, and account linking — are scalable, compliant, and user-friendly. Define and enforce API and data security standards, supporting compliance initiatives. Evaluate and integrate third-party identity frameworks or open-source solutions (e.g., Keycloak, Auth0, Ory, ForgeRock) as part of Xsolla’s hybrid identity strategy. Qualifications & Skills: 10+ years in backend or systems engineering, including 5+ years designing and implementing authentication and authorization services. Expert-level skills in Golang, with experience building and scaling distributed, event-driven microservices. Proven track record with identity federation, token management, and access control systems. In-depth understanding of authentication and authorization standards (OAuth 2.0, OIDC, JWT, SCIM). Solid grasp of security principles, encryption, key management, and secrets management systems (e.g., HashiCorp Vault, AWS KMS). Experience building high-availability systems in Kubernetes-based environments using AWS, or GCP. Strong architectural vision with the ability to influence cross-team design and technology direction. Excellent communication and collaboration skills across distributed teams. Nice to Have: Experience building or contributing to identity systems for gaming or SaaS ecosystems. Familiarity with multi-tenant architectures, ReBAC/ABAC models, and policy-as-code (OPA, AuthZ frameworks). Background in security engineering, DevSecOps, or compliance automation. Contributions to open-source Golang. Benefits: We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes 100% company-paid medical, dental, and vision plans, unlimited Flexible Time Off, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.   Equal Employment Opportunity Statement: Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with the Fair Chance Act.   Criminal History Consideration: For the Principal Engineer, we will conduct a background check that may include the following: Criminal history check Employment verification Education verification   Relevance to Job Responsibilities: The background check is relevant to this position because of the following role responsibilities: Accessing confidential company data Ensuring compliance with regulatory requirements Handling sensitive financial information/managing budgets/accessing funds   Rights Under the Fair Chance Act: Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact careers@xsolla.com. The listed range is specific to Los Angeles, CA, and varies based on factors such as location and experience.

Location: Dubai, United Arab Emirates; Riyadh, Saudi Arabia; Istanbul, Turkey About Aura by Hex Trust Aura by Hex Trust is the private wealth business of Hex Trust. We bring institutional-grade digital asset infrastructure - custody, trading, yield, structured products - to high net worth (HNW) individuals and family offices, delivered through a Relationship Manager–led model backed by an easy-to-use app. The wealth opportunity in digital assets is one of the most underserved segments in the industry. HNW clients want exposure but lack a trusted, regulated, full-service partner. Aura fills that gap, combining the security and licensing of Hex Trust with the personal service private clients expect. About Hex Trust Hex Trust is a fully-licensed digital asset financial institution building the infrastructure institutions use to operate in crypto. Custody, staking, capital markets, investment solutions, payments, fiat ramping, RWAs, and tokenization — all on one regulated platform. Founded in 2018, we're licensed across multiple jurisdictions (HK, SG, Dubai, SVG). As institutional capital moves into crypto and the RWA and payments narratives accelerate, we're one of the few players who can serve institutions as a fully-regulated, one-stop-shop partner. We serve 600+ institutional clients globally: funds, family offices, banks, foundations, token issuers, payment firms, OTC desks, and corporates. We're well-capitalized, growing consistently, and built on a sustainable model. We operate 24/7 from hubs in Hong Kong, Singapore, Dubai, and Vietnam. You'll work alongside a senior commercial team, own real institutional relationships, and get exposure to the most active parts of the market. We're scaling fast. If you want to sell into the institutional side of crypto at a firm that's actually licensed to do it, this is the place. Position Summary We offer an attractive, formula-based, uncapped bonus structure tied directly to revenue, paid quarterly. As a Relationship Manager at Aura, you'll originate and grow your own book of HNW and family office clients on a fresh platform. You'll have direct access to the full Hex Trust group - institutional products, regulated infrastructure, and senior leadership -  and real influence over product direction as we scale. This is an early-stage hire. If you're an experienced wealth or sales professional looking to build something rather than inherit it, this is the seat. Duties & Responsibilities Establish and grow long-term relationships with HNW clients , family offices, and private wealth channels, contributing to increased AUM, trading volume, and product adoption Cultivate and expand partnerships with relevant distribution partners and intermediaries to further drive growth in AUM. Lead prospect and client meetings, clearly articulating Hex Trust’s value proposition and capturing feedback for continuous improvement. Identify cross-selling opportunities across trading, structured products, and lending solutions to deepen client engagement. Work with Marketing Team to identify and support activities designed to attract and activate client base Oversee smooth onboarding and ongoing relationship management in collaboration with compliance, legal, and operations. Deliver best-in-class, white-glove service—positioning Hex Trust as a trusted partner for private clients and family offices in digital assets. KPIs: No. of clients, Revenue, Assets on Platform, Net New Money Requirements 5–15 years of experience in relationship management, private banking, wealth management, and/or institutional/crypto financial services. Demonstrated success in growing AUM and managing sophisticated private clients or family office accounts. Strong knowledge of financial markets and investment products; digital asset familiarity required. Proven ability to deliver high-touch, client-first service in a demanding environment. Excellent communication, presentation, and negotiation skills with credibility in front of senior stakeholders. Entrepreneurial, adaptable, and proactive in identifying solutions and opportunities. Fluency in English required; additional languages (e.g., Mandarin, Arabic) are highly valued. Candidates who do not tick all the boxes are still encouraged to apply, those with less experience will still be considered for the position but with relevant adjustments to seniority. Benefits As one of the leading Web3 innovators, Hex Trust offers a front-row seat in the ever-changing blockchain & crypto industry. We genuinely believe that people are our greatest asset, and invest heavily so they’re best prepared to support our mission to unlock ownership in decentralized markets! You will be joining a company that is always committed to creating a supportive & inclusive environment that promotes personal and professional growth that furthers your success and drives innovation, collaboration, and passion in the blockchain space. At Hex Trust, we are proud of our H.E.X. culture: Heart Empowerment Xcellence Join us at Hex Trust and not only can you look forward to working with blockchain professionals to build the decentralized future, but also: Competitive Salaries & Bonuses Generous Amounts of Paid Time Off (incl. leave for Birthdays, Work Anniversary, and Mental Health etc.) Access to Corporate Discounts and exclusive Employer Perks Medical & Retirement Plans Professional Learning and Development Opportunities Elevate your work using cutting-edge technology Fun & friendly office spaces in Hong Kong, Singapore, Dubai and Vietnam Regular company & social events Hex Trust is an equal-opportunity employer devoted to diversity and inclusion in the workplace. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status or disability status.

Location: Belgrade Workplace: onsite About Unlimit   Unlimit is a global fintech ecosystem built to eliminate financial borders holding businesses back. The company provides the extensive infrastructure needed to scale globally, integrating payment processing, multi-currency business accounts, BaaS and crypto gateways into a single, intelligent platform.   Across 17 offices globally, Unlimit bridges hyper-local expertise with a high-capacity financial network, giving companies the agility to expand across regions with operational confidence and speed. Driving the evolution of payments, Unlimit is transforming its infrastructure from human-operated fintech into AI-native financial infrastructure — where APIs are consumed by machines, integrations are negotiated by agents, and systems evolve continuously through intelligent automation. Our next users are not only humans. They are AI agents acting on behalf of humans and businesses.   Unlimit serves more than the needs of businesses today; we are building the nervous system for a borderless global economy. We are looking for a Senior Engineer with deep agentic development experience and Java/Kotlin expertise to design and build the agentic backend layer powering Unlimit’s global financial platform. You will not just write backend services using your harness. You will design AI agents that generate, operate, validate, monitor, and evolve backend services. This role is for engineers who understand that the future of software is Human + AI co-creation, and soon — AI-to-AI collaboration. What You’ll Be Doing At Unlimit, agentic engineering is how we build software. AI agents are the primary execution layer of our engineering organization, while engineers provide the architecture, direction, constraints, and judgment that make autonomous development possible. You will orchestrate AI agents that design, implement, test, refactor, and maintain production-grade Java and Kotlin systems . Manual coding is not part of our engineering model – software implementation is performed by AI agents. Your deep expertise in Java, Kotlin, and backend engineering remains essential: you must understand architectural trade-offs, evaluate generated implementations, identify subtle defects, and ensure production-grade performance, security, and reliability. You will translate complex engineering challenges into agent-executable work, establish clear specifications and acceptance criteria, and coordinate parallel development workflows. You own the engineering decisions and outcomes, while agents execute the implementation. You will engineer the environment in which agents operate. This means building agent-native development workflows , maintaining machine-readable architecture and documentation, defining reusable skills and tools, and creating the context infrastructure that enables agents to navigate large codebases, make informed decisions, and execute complex tasks autonomously. Repositories, APIs, development environments, and engineering processes must be designed for machines as first-class participants. You will establish continuous, automated verification across the entire software lifecycle. AI-generated implementations must be validated through deterministic tests, architectural constraints, security controls, and regulatory requirements, including PCI DSS and financial compliance standards. You will design feedback loops where agents detect failures, investigate causes, correct implementations, and independently verify results, with appropriate human oversight for high-risk decisions. Your work will extend beyond development into agent-driven operations and production reliability . You will build systems that enable agents to understand runtime behavior, investigate incidents, identify performance bottlenecks, and propose or execute controlled remediation. Observability, operational tooling, and infrastructure will become interfaces through which intelligent systems safely interact with our global payment infrastructure. You will collaborate across engineering, platform, security, and data teams to build a coordinated ecosystem of specialized agents , sharing capabilities, context, and execution standards. You will continuously challenge traditional engineering practices, eliminate unnecessary human coordination and repetitive work, and push the boundaries of what a small team of exceptional engineers can deliver. Qualifications You Will Bring An agent-native engineering mindset. You see AI agents as the primary execution layer of software engineering, not coding assistants. You are comfortable working in an environment where manual coding is prohibited, and your value comes from architecture, specifications, orchestration, verification, and engineering judgment. Proven experience with autonomous agentic development. You have built production-oriented engineering workflows using Claude Code, OpenAI Codex, or comparable platforms, leveraging parallel agents, subagents, reusable skills, hooks, MCP servers, and automated execution pipelines. Mastery of specification-driven development (SDD). Practical experience with methodologies and frameworks such as GitHub Spec Kit, BMAD Method, or equivalent approaches that transform business requirements into structured specifications, executable plans, and independently verifiable agent tasks. You understand how to maintain alignment between requirements, architecture, implementation, and tests. Strong context engineering capabilities. You know how to structure repositories, engineering knowledge, agent instructions, and persistent context using mechanisms such as AGENTS.md, CLAUDE.md, reusable skills, and machine-readable documentation. You understand context-window management, progressive disclosure, retrieval strategies, context compaction, and long-running agent execution. Experience orchestrating multi-agent engineering workflows. You can decompose complex initiatives into parallel workstreams, coordinate specialized agents, manage dependencies and isolated execution environments, and establish reliable integration and verification processes. You understand when agent autonomy creates leverage and when additional orchestration introduces unnecessary complexity. Hands-on experience with frontier reasoning and coding models. You understand the capabilities and limitations of Claude, GPT/Codex, and comparable models, including model selection, reasoning effort, tool use, structured outputs, token economics, and cost-performance trade-offs across different engineering tasks. Expertise in agentic quality assurance and autonomous verification. You design deterministic quality gates combining automated testing, static analysis, architectural fitness functions, security scanning, and independent agent reviews. You understand test-driven development, adversarial validation, and iterative agent feedback loops, ensuring that generated software meets measurable acceptance criteria. Strong Java or Kotlin engineering expertise. At least 4 years of production experience with Java (Spring/Spring Boot) or Kotlin, including concurrency, performance optimization, database interactions, and application architecture. You can critically evaluate agent-generated implementations, recognize subtle defects, and enforce engineering standards without manually writing application code. Deep knowledge of distributed systems and financial-grade backend engineering. You understand scalable microservices, event-driven architectures, transactional consistency, fault tolerance, observability, and high-throughput, low-latency processing. Experience with payment systems, PCI DSS, and regulated financial infrastructure is a strong advantage. A security-first approach to autonomous engineering. You understand agent permissions, sandboxed execution, secrets management, supply-chain security, prompt injection risks, policy-as-code, and controlled deployment workflows. You can establish clear boundaries between autonomous execution and actions requiring human authorization. An engineering productivity and continuous improvement mindset. You measure agentic development by delivery quality, lead time, reliability, cost, and engineering throughput rather than generated code volume. You continuously experiment with emerging methodologies, evaluate new capabilities, and improve the autonomous engineering workflows used by your team. Strong communication and technical leadership skills. You can articulate complex architectural decisions, challenge assumptions, collaborate across engineering, product, security, and compliance, and take end-to-end ownership of outcomes in a globally distributed AI-native organization. Nice to have: Experience in fintech, payments, or banking systems. Experience working with AWS services and infrastructure. Familiarity with containerized deployments (Docker, Kubernetes) and CI/CD pipelines. Exposure to AI-enabled systems or interest in integrating intelligence into applications. Background in event-driven architectures and message-based systems (Kafka, RabbitMQ). Why This Role Exists: At Unlimit, autonomous engineering is our operating model. AI agents execute the software development lifecycle, while engineers architect, orchestrate, and own the outcomes. We are building a global financial platform designed for both humans and autonomous agents. If you want to: Engineer autonomous systems that build and evolve software Push the limits of specification-driven, multi-agent engineering Build financial infrastructure where AI agents are first-class participants Shape the next generation of AI-native fintech at global scale Then this is your role. Join Unlimit Team now!   Unlimit is an equal opportunity employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We welcome applications from all members of society irrespective of age, sex, disability, sexual orientation, race, religion or belief.

Location: London, UK About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role: Anthropic's ML Performance and Scaling team trains our production pretrained models, work that directly shapes the company's future and our mission to build safe, beneficial AI systems. As a Research Engineer on this team, you'll ensure our frontier models train reliably, efficiently, and at scale. This is demanding, high-impact work that requires both deep technical expertise and a genuine passion for the craft of large-scale ML systems. This role lives at the boundary between research and engineering. You'll work across our entire production training stack: performance optimization, hardware debugging, experimental design, and launch coordination. During launches, the team works in tight lockstep, responding to production issues that can't wait for tomorrow. Responsibilities: Own critical aspects of our production pretraining pipeline, including model operations, performance optimization, observability, and reliability Debug and resolve complex issues across the full stack—from hardware errors and networking to training dynamics and evaluation infrastructure Design and run experiments to improve training efficiency, reduce step time, increase uptime, and enhance model performance Respond to on-call incidents during model launches, diagnosing problems quickly and coordinating solutions across teams Build and maintain production logging, monitoring dashboards, and evaluation infrastructure Add new capabilities to the training codebase, such as long context support or novel architectures Collaborate closely with teammates across SF and London, as well as with Tokens, Architectures, and Systems teams Contribute to the team's institutional knowledge by documenting systems, debugging approaches, and lessons learned You May Be a Good Fit If You: Have hands-on experience training large language models, or deep expertise with JAX, TPU, PyTorch, or large-scale distributed systems Genuinely enjoy both research and engineering work—you'd describe your ideal split as roughly 50/50 rather than heavily weighted toward one or the other Are excited about being on-call for production systems, working long days during launches, and solving hard problems under pressure Thrive when working on whatever is most impactful, even if that changes day-to-day based on what the production model needs Excel at debugging complex, ambiguous problems across multiple layers of the stack Communicate clearly and collaborate effectively, especially when coordinating across time zones or during high-stress incidents Are passionate about the work itself and want to refine your craft as a research engineer Care about the societal impacts of AI and responsible scaling Strong Candidates May Also Have: Previous experience training LLM’s or working extensively with JAX/TPU, PyTorch, or other ML frameworks at scale Contributed to open-source LLM frameworks (e.g., open_lm, llm-foundry, mesh-transformer-jax) Published research on model training, scaling laws, or ML systems Experience with production ML systems, observability tools, or evaluation infrastructure Background as a systems engineer, quant, or in other roles requiring both technical depth and operational excellence What Makes This Role Unique: This is not a typical research engineering role. The work is highly operational—you'll be deeply involved in keeping our production models training smoothly, which means being responsive to incidents, flexible about priorities, and comfortable with uncertainty. During launches, the team often works extended hours and may need to respond to issues on evenings and weekends. However, this operational intensity comes with extraordinary learning opportunities. You'll gain hands-on experience with some of the largest, most sophisticated training runs in the industry. You'll work alongside world-class researchers and engineers, and the institutional knowledge you build will compound in ways that can't be easily transferred. For people who thrive on this type of work, it's uniquely rewarding. We're building a close-knit team of people who genuinely care about doing excellent work together. If you're someone who wants to be part of training the models that will define the future of AI—and you're excited about the full reality of what that entails—we'd love to hear from you. Location: This role requires working in-office 5 days per week in London. Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £260,000 — £630,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role: Anthropic's ML Performance and Scaling team trains our production pretrained models, work that directly shapes the company's future and our mission to build safe, beneficial AI systems. As a Research Engineer on this team, you'll ensure our frontier models train reliably, efficiently, and at scale. This is demanding, high-impact work that requires both deep technical expertise and a genuine passion for the craft of large-scale ML systems. This role lives at the boundary between research and engineering. You'll work across our entire production training stack: performance optimization, hardware debugging, experimental design, and launch coordination. During launches, the team works in tight lockstep, responding to production issues that can't wait for tomorrow. Responsibilities: Own critical aspects of our production pretraining pipeline, including model operations, performance optimization, observability, and reliability Debug and resolve complex issues across the full stack—from hardware errors and networking to training dynamics and evaluation infrastructure Design and run experiments to improve training efficiency, reduce step time, increase uptime, and enhance model performance Respond to on-call incidents during model launches, diagnosing problems quickly and coordinating solutions across teams Build and maintain production logging, monitoring dashboards, and evaluation infrastructure Add new capabilities to the training codebase, such as long context support or novel architectures Collaborate closely with teammates across SF and London, as well as with Tokens, Architectures, and Systems teams Contribute to the team's institutional knowledge by documenting systems, debugging approaches, and lessons learned You May Be a Good Fit If You: Have hands-on experience training large language models, or deep expertise with JAX, TPU, PyTorch, or large-scale distributed systems Genuinely enjoy both research and engineering work—you'd describe your ideal split as roughly 50/50 rather than heavily weighted toward one or the other Are excited about being on-call for production systems, working long days during launches, and solving hard problems under pressure Thrive when working on whatever is most impactful, even if that changes day-to-day based on what the production model needs Excel at debugging complex, ambiguous problems across multiple layers of the stack Communicate clearly and collaborate effectively, especially when coordinating across time zones or during high-stress incidents Are passionate about the work itself and want to refine your craft as a research engineer Care about the societal impacts of AI and responsible scaling Strong Candidates May Also Have: Previous experience training LLM’s or working extensively with JAX/TPU, PyTorch, or other ML frameworks at scale Contributed to open-source LLM frameworks (e.g., open_lm, llm-foundry, mesh-transformer-jax) Published research on model training, scaling laws, or ML systems Experience with production ML systems, observability tools, or evaluation infrastructure Background as a systems engineer, quant, or in other roles requiring both technical depth and operational excellence What Makes This Role Unique: This is not a typical research engineering role. The work is highly operational—you'll be deeply involved in keeping our production models training smoothly, which means being responsive to incidents, flexible about priorities, and comfortable with uncertainty. During launches, the team often works extended hours and may need to respond to issues on evenings and weekends. However, this operational intensity comes with extraordinary learning opportunities. You'll gain hands-on experience with some of the largest, most sophisticated training runs in the industry. You'll work alongside world-class researchers and engineers, and the institutional knowledge you build will compound in ways that can't be easily transferred. For people who thrive on this type of work, it's uniquely rewarding. We're building a close-knit team of people who genuinely care about doing excellent work together. If you're someone who wants to be part of training the models that will define the future of AI—and you're excited about the full reality of what that entails—we'd love to hear from you. Location: This role requires working in-office 5 days per week in San Francisco. Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $350,000 — $850,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Hybrid - San Francisco, New York City About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role: We are looking for a Software Engineer, Trust & Safety, to design, build, and operate the large-scale, real-time distributed systems that stop abuse and fraud on the platform, including fraud committed through AI agents, fraud that abuses deployments and compute resources, and payment fraud on token-based usage. You will write the services, detection systems, and large language model (LLM) tooling that disrupt abuse at internet scale. This is a hybrid role based in San Francisco or New York City, with three days a week in the office. What you’ll do: Design and build production services that detect and disrupt fraud committed through AI agents, fraud that abuses deployments and compute resources, and payment fraud on token-based usage Build detection systems that find abuse patterns across large datasets Ship LLM-driven systems for abuse detection, classification, and prevention, and build the datasets and evaluation pipelines that measure them Build and maintain internal tools for trust and safety workflows Analyze threat actor behavior to inform detection logic, and work with security, product, and infrastructure teams to move prototypes into stable production What you need: 5+ years of software engineering experience building large-scale, real-time distributed systems Wrote and shipped production code in JavaScript/TypeScript and Python, owning systems end to end from prototype through deployment and iteration Hands-on LLM experience, including prompt engineering, evaluation, and fine-tuning Operated production services on AWS Bonus if you: Shipped an AI-based trust and safety system to production Worked in abuse prevention, trust and safety, or security engineering Built or hosted a project on Vercel Benefits & Compensation: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The San Francisco, CA base pay range for this role is $208,000 - $312,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

Location: New York Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE Strategic accounts at Baseten are the largest and fastest-growing AI companies in the world. These are the teams defining the future of what AI products and services look like. These accounts can scale rapidly from one token to billions of tokens in a matter of weeks. This role owns these relationships, working directly with founders and engineering leaders on mission-critical and large-scale-AI problems in production—and shaping what we build next. This is a highly technical sale. You’ll trade opinions on the latest open-source model releases, run fast and nuanced evaluations alongside customer engineering teams, and often pulling in SMEs from applied research to infrastructure engineers to win. You’ll bring tight sales fundamentals and process discipline, while maintaining flexibility and creativity in how you run each cycle. This role is pioneering what sales looks like at the bleeding-edge of technology sales. This is a front row seat to the most consequential decisions made at the forefront of Artificial Intelligence. There is no faster place to learn and make an immediate impact. RESPONSIBILITIES - Own a focused portfolio of high-growth, strategic AI-native accounts end to end — from technical evaluation and initial workload landing through expansion as inference usage scales. - Lead technical evaluations and complex, multi-stakeholder sales cycles from first conversation through close. Bring strong sales fundamentals and process discipline, while staying flexible and creative in how you run each sales cycle. - Build trusted relationships with founders and technical leaders, becoming a credible partner on model, infrastructure, and inference decisions. - Orchestrate stakeholders across applied research, engineering, and leadership to win technical evaluations and solve customer problems. - Bring customer signal back to product, shaping roadmap priorities through the needs and patterns you see in the field. - Stay close after close: help customers expand from an initial workload into additional use cases across the organization. REQUIREMENTS - 5+ years of sales experience in infrastructure, developer tools, data, or another consumption business, with a record of closing complex technical deals. - Proven net-new experience selling complex technical products in fast-moving environments. - Strong sales fundamentals across discovery, multi-threading, champion-building, and deal momentum. - Genuine curiosity for open-source models and the AI infrastructure landscape. You follow model releases and can hold your own with engineers. - Highly dynamic: comfortable when a deal goes off-script, able to meet customers where they are, and willing to change your approach without losing rigor. - Strong technical project management: you can run a thorough evaluation across multiple workstreams and create clarity and direction for Baseten to win.. - Proven ability to sell internally, earning engineering time, aligning leadership, and getting cross-functional teams to move - Scrappy, low-ego, collaborative operator. You run toward ambiguous problems, create structure where none exists, and earn internal support without relying on rigid swim lanes. BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: London Who We Are: Galaxy Digital Inc. (Nasdaq: GLXY) is a global leader in digital assets and data center infrastructure, growing the economy that runs on code. Galaxy delivers the onchain infrastructure that connects institutions to digital assets, including trading, advisory, asset management, staking, self-custody, and tokenization. Galaxy also develops and operates data center infrastructure to power AI and HPC workloads. Anchored by its Helios campus in Texas, Galaxy is building a multi-gigawatt pipeline of more than 5.7 GW of potential capacity, positioning it among the largest and fastest-growing data center developers in North America. The Company is headquartered in New York City, with offices across North America, Europe, the Middle East, and Asia. Additional information about Galaxy's businesses and products is available on www.galaxy.com . What We Value: We are a diverse team of free thinkers, and fast movers united to help investors and creators energize the global economy. We are looking for individuals who thrive in a culture of builders and overachievers and embrace high performance, transparent feedback, and a mission-first approach. Our culture shapes our way of working and gets us where we want to be. Seek Excellence. Be Selective To Be Effective. Be Highly Aligned, Loosely Coupled. Disagree Transparently. Encourage Independent Decision-Making. Build Dream Teams. Who You Are: We’re seeking an experienced Algo Trading / Head of Execution to join our team. You have a proven track record of building and benchmarking execution algorithms. Ideally, you’ve been actively engaged with the crypto markets or have a strong curiosity about them. In this role, you will take the lead in developing greenfield algorithmic trading systems, shaping the core of our next-generation trading infrastructure. You’ll work closely with trading teams, stakeholders, and external partners to deliver critical initiatives that drive our business forward. If you’re a natural problem-solver with a passion for hands-on technical development in a global, fast-paced environment, we want to hear from you. What You’ll Do: Design and lead the development of a low-latency, high-throughput Algo Trading / Smart Order Router system Implement intelligent routing algorithms based on execution quality, liquidity, latency, and cost Collaborate with traders, and product managers to refine routing logic and build new algorithmic capabilities Integrate the SOR with the trading, booking and reporting stack Monitor and optimize system performance under real-world trading conditions Mentor junior developers, enforce code quality standards, and contribute to architectural decisions Provide support for production trading issues and continuously improve system resilience and failover mechanisms What We’re Looking For: 10+ years of experience developing routing strategies for specific markets (e.g., U.S. equities, EU markets, crypto exchanges) Knowledge of tick data analytics and real-time market data processing Familiarity with cloud-based market access or hybrid deployments Experience working in high-frequency or algorithmic trading environments Experience building low-latency systems and working with multicast/unicast market data feeds A solid understanding of the application stack and infrastructure associated with electronic and algorithmic trading Strong technical background, with the ability to understand system architecture and technical workflows Proficiency in FIX protocol and trading system architecture (OMS/EMS, market gateways) Familiarity with concurrency, networking, and memory management Experience with Linux systems and performance profiling tools A proactive, problem-solving mindset and the ability to thrive in a fast-paced, collaborative environment Bonus Points: Deep understanding of electronic trading, order types, and market microstructure (equities, options, FX, Crypto etc.) Experience in the DeFi, or crypto space Exposure to regulatory or compliance-driven environments Familiarity with cloud-based infrastructure (e.g., AWS, GCP) or DevOps processes What We Offer: Competitive base salary and discretionary bonus Company-paid health and protective benefits for employees and their eligible dependents Free virtual coaching and counseling sessions Opportunities to learn about the Crypto industry Smart, entrepreneurial, and fun colleagues Employee Resource Groups *Benefits may vary depending on location. Galaxy respects diversity and seeks to provide equal employment opportunities to all employees and job applicants for employment without regard to actual or perceived age, race, color, creed, religion, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression (including transgender status), sexual orientation, marital or partnership or caregiver status, ancestry, national origin, citizenship status, disability, military or veteran status, protected medical condition as defined by applicable state or local law, genetic information or predisposing genetic characteristic, or other characteristic protected by applicable federal, state, or local laws and ordinances. We will endeavor to make a reasonable accommodation to the known limitations of a qualified applicant with a disability unless the accommodation would impose an undue hardship on the operation of our business. If you believe you require such assistance to complete the application process or to participate in an interview, please contact careers@galaxy.com.

Location: Home based - EMEA Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution. The company is founder led, profitable and growing. We are hiring a UX designer for our Design System Team. You will play a key role making open source software available to the world. Our Design function ensures the experience of the software and infrastructure we build is true to our intentions, and delivers the tools our community and customers need. The Design System UX designer makes that possible by defining, evolving and advocating for a consistent use of design system that scales across our products. This role sits in the design system team reporting to Design Systems Management Location: This role will be based remotely in the EMEA region. The role entails Building and evolving Canonical’s design system, ensuring measurable adoption, consistency, scalability and accessibility across our products Collaborating with designers, engineers and stakeholders to translate user needs and brand principles into reusable components, patterns and guidelines Championing design system best practices, advocating for cohesive user experience and design, providing documentation and support for cross-functional teams Designing and documenting UI components, design tokens and interaction patterns Ensuring timely and efficient delivery of the roadmap Enabling alignment on design system usage and governance across teams Advocating for accessibility, performance, and scalability in design system decisions and iterating based on data and technological advancements Staying ahead of industry trends, ensuring innovation and balancing it with system coherence and performance What we are looking for in you Relevant experience in UX/product design, with a strong focus on design systems in complex environments A portfolio demonstrating strong expertise in design systems, including component libraries, documentation and handling complex environments Exceptional educational achievements in design or related behavioral science discipline Expertise in Figma, Storybook and design token workflows Experience of collaborating with engineers and bridging design and code Proven ability to apply design process and clearly communicate and document design decisions Excellent attention to detail and systemic approach to solving complex design challenges Commitment to transparent project delivery and owning team deadlines A passion for balancing consistency and innovation Willingness to travel up to 4 times a year for internal events Read more about the design team What we offer colleagues We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognize outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally. Distributed work environment with twice-yearly team sprints in person Personal learning and development budget of USD 2,000 per year Annual compensation review Recognition rewards Annual holiday leave Maternity and paternity leave Team Member Assistance Program & Wellness Platform Opportunity to travel to new locations to meet colleagues Priority Pass and travel upgrades for long-haul company events About Canonical Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open-source projects and the platform for AI, IoT, and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence; in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since our inception in 2004.​ Working here is a step into the future and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration. #LI-remote

Location: San Francisco Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE Strategic accounts at Baseten are the largest and fastest-growing AI companies in the world. These are the teams defining the future of what AI products and services look like. These accounts can scale rapidly from one token to billions of tokens in a matter of weeks. This role owns these relationships, working directly with founders and engineering leaders on mission-critical and large-scale-AI problems in production—and shaping what we build next. This is a highly technical sale. You’ll trade opinions on the latest open-source model releases, run fast and nuanced evaluations alongside customer engineering teams, and often pulling in SMEs from applied research to infrastructure engineers to win. You’ll bring tight sales fundamentals and process discipline, while maintaining flexibility and creativity in how you run each cycle. This role is pioneering what sales looks like at the bleeding-edge of technology sales. This is a front row seat to the most consequential decisions made at the forefront of Artificial Intelligence. There is no faster place to learn and make an immediate impact.   RESPONSIBILITIES - Own a focused portfolio of high-growth, strategic AI-native accounts end to end — from technical evaluation and initial workload landing through expansion as inference usage scales. - Lead technical evaluations and complex, multi-stakeholder sales cycles from first conversation through close. Bring strong sales fundamentals and process discipline, while staying flexible and creative in how you run each sales cycle. - Build trusted relationships with founders and technical leaders, becoming a credible partner on model, infrastructure, and inference decisions. - Orchestrate stakeholders across applied research, engineering, and leadership to win technical evaluations and solve customer problems. - Bring customer signal back to product, shaping roadmap priorities through the needs and patterns you see in the field. - Stay close after close: help customers expand from an initial workload into additional use cases across the organization.   REQUIREMENTS - 5+ years of sales experience in infrastructure, developer tools, data, or another consumption business, with a record of closing complex technical deals. - Proven net-new experience selling complex technical products in fast-moving environments. - Strong sales fundamentals across discovery, multi-threading, champion-building, and deal momentum. - Genuine curiosity for open-source models and the AI infrastructure landscape. You follow model releases and can hold your own with engineers. - Highly dynamic: comfortable when a deal goes off-script, able to meet customers where they are, and willing to change your approach without losing rigor. - Strong technical project management: you can run a thorough evaluation across multiple workstreams and create clarity and direction for Baseten to win. - Proven ability to sell internally, earning engineering time, aligning leadership, and getting cross-functional teams to move - Scrappy, low-ego, collaborative operator. You run toward ambiguous problems, create structure where none exists, and earn internal support without relying on rigid swim lanes. BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Workplace: remote Location : Quantori is an international team: we have colleagues who work not only from office but also remotely from all over the world. Responsibilities : Ability to collaborate closely with machine learning engineers and data scientists to refine AI models, develop robust model embeddings, and optimize prompts for accuracy, performance, and cost-efficiency Develop and optimize AI agent systems, including multi-agent orchestration and tool integration Implement and iterate on RAG pipelines, evaluation frameworks, and LLM-powered data processing solutions Maintain and enhance applications and solutions on Python What we expect : A solid knowledge of Python, with experience in writing clean, efficient, and maintainable code Ability to design and develop autonomous agents using frameworks such as LangGraph/CrewAI/OpenAI Agents SDK, enabling intelligent decision-making and task automation Experience in rapid prototyping using large language models (LLMs), vector databases, and knowledge graphs to explore and implement new AI-driven capabilities Expertise in retrieval-augmented generation (RAG) workflows and document retrieval techniques to enhance content relevance Hands-on experience working with large-scale language models, such as GPT/Claude/Gemini/Qwen, along with a solid understanding of prompt engineering, embedding techniques Familiarity with the Model Context Protocol (MCP) for connecting LLM agents to external tools and data sources Experience in rapid prototyping of AI-driven capabilities using LLMs, embeddings, and structured/unstructured data sources Experience with code generation and AI-assisted development tools (Claude Code, GitHub Copilot, Cursor, Codex) Strong written and spoken English communication skills (B2) Nice to have : Experience with Python frameworks such as Django, Flask, or FastAPI Proficiency in SQL for working with structured databases, querying data, and optimizing database performance Familiarity with platforms Dataiku, Snowflake, Tableau, Streamlit, Artifactory, dbt Hands-on experience with NLP deep learning frameworks such as PyTorch, TensorFlow, and Transformers Familiarity with graph RAG approaches (Microsoft GraphRAG, LightRAG, or Neo4j-based solutions) Understanding AI cost optimization: model routing, caching strategies (semantic caching), prompt compression, and token management We offer : Competitive compensation Remote or office work Flexible working hours A team with excellent tech expertise

Location: Bremen, Germany Our mission Constructor’s mission is to enable all educational organisations to provide high-quality digital education to 10x people with 10x efficiency. With strong expertise in machine intelligence and data science, Constructor’s all-in-one platform for education and research addresses today’s pressing educational challenges: access inequality, tech clutter, and low engagement of students. Please send your resume in English only. Interns are NOT eligible for equipment and other benefits as the position is temporary. The Reality The frontier models are converging into commodities; the engine is no longer the differentiator. The scarcity in 2026 is not the model. We are not looking for people to fine-tune Llama on toy datasets or write "better prompts." We are building the runtime systems that turn probabilistic token generation into reliable workers that finish 50-step tasks without spiraling. We are solving the math of multi-step reliability through engineering, not wishful thinking. What You Will Solve You will work on the Agentic Harness , treating the LLM as a component within a larger, deterministic control system. Your research will focus on: Architecting loops that survive error accumulation. You will build verification layers that force the agent to recognize its own hallucinations and self-correct. You will implement systems where the agent compiles its own constraints and the harness enforces them via constrained decoding or external execution. You will optimise KV-cache hit rates and design "restorable compression" strategies to prevent attention decay. Who We Are Looking For We are looking for systems thinkers who happen to know ML, not the other way around. You know that a demo is not a product. You are interested in the "boring" engineering: state machines, retries, idempotency, serialisation — that actually makes agents work. You are comfortable working with the raw output of the model and building robust software in Python or Rust around it. You understand why dynamic tool loading destroys inference economics. You prefer deterministic guardrails over "prompting it to be nicer." You are willing to read a 500-line trace of a failed agent loop to find the exact moment the context drifted. You care about the "last mile" of reliability. What We Offer For Interns: Internship Duration: from 2 months or more Type of internship: 100% remote or hybrid in the office in Bremen (GER), Sofia (BG), Belgrade (SRB), Istanbul (TR), Sakarya (TR), Singapore (SGD) What We Offer 💻 Choice of work equipment (e.g., laptop, monitor, etc.) 🇬🇧 English classes (iTalki – $130 monthly) ⏰ Flexible schedule (we usually work between 09:00/10:00 and 18:00/19:00) 👶 Newborn bonus (€500 per child) 🧠 Patent remuneration 🌴 Paid leave 🧑‍💻 Remote work in locations without our offices Hybrid work in locations with offices (2 days in-office, 3 days remote) Constructor fosters equal opportunity for people of all backgrounds and identities. We are led by a gender-balanced board committed to building a diverse and inclusive organisation where everyone can become their best self. We do not discriminate based on age, disability, gender identity, sexual orientation, ethnicity, race, religion or belief, parental and family status, or other protected characteristics. We welcome applications from women, men and non-binary candidates of all ethnicities and socio-economic backgrounds. We encourage people belonging to underrepresented groups to apply.

Location: Berlin, Germany; Aachen, Germany; Augsburg, Germany; Bad Homburg, Germany; Baden-Baden, Germany; Bergisch Gladbach, Germany; Bernau, Germany; Bielefeld, Germany; Dresden, Germany; Düsseldorf, Germany; Frankfurt, Germany; Freiburg, Germany; Görlizt, Germany; Göttingen, Germany; Greifswald, Germany; Hamburg, Germany; Hannover, Germany; Heinsberg, Germany; Koln, Germany; Munich, Germany; Neu-Ulm, Germany; Nuremberg, Germany Workplace: hybrid Berlin • Cybersecurity & AI Startup • Recently Secured Significant Funding We are building a next-generation Identity + AI Enforcement platform in Berlin. Following newly secured funding, we are looking for a technical co-founder who will architect and build the core product from day one. We are looking for a visionary Founding CTO/CPTO for a hybrid role based in Berlin. If you are passionate about deep tech, thrive in fast-paced environments, and have experience building transactional platforms, this is your opportunity to make a lasting impact. Responsibilities Lead customer discovery and validation to refine the value proposition to our three main target groups: Deep Tech founders, investors, and corporate partners. Co-build the product vision to establish the leading deep technology database of Europe as well as the most effective match-making platform. Establish the technological foundation of a transactional platform, including the data infrastructure. Develop and execute the company’s technology strategy and roadmap. Recruit and lead an in-house, top-tier engineering team. Manage the company’s data, including storage, analysis, data privacy, and security. Requirements and Skills 10+ years experience in backend engineering and system architecture. Proven ability to design and ship complex distributed systems. Strong understanding of OAuth/OIDC, API keys, tokens, scopes, identity flows . Knowledge of RBAC/ABAC or fine-grained access models. Exposure to Zero Trust principles , access control models, or identity governance. Experience with AI/LLM systems, agent logic, or willingness to learn fast . Understanding of SaaS integration security , OAuth app marketplaces. Hands-on coding mentality; can build MVP and early architecture yourself. Experience integrating with multiple SaaS systems and APIs. Strong security mindset and understanding of modern attack surfaces. Ability to move fast, take ownership, and operate independently. Experience managing small engineering teams in early-stage environments. Hands-on experience with infrastructure-as-code (Terraform) and cloud deployments. Low ego, high commitment, and a true founder mentality . Nice to Have Experience with AI/LLM systems , multi-agent orchestration, or agent frameworks. Experience with policy engines (custom enforcement logic). Experience building event-driven architectures or streaming systems (Kafka, Pub/Sub). Familiarity with token analysis , secret scanning, or credential hygiene. Experience with cloud IAM (AWS/GCP/Azure roles, service principals). Experience with risk scoring , anomaly detection, or behavior-based systems. Exposure to agent sandboxing , isolated execution, or container micro-VMs. Previous experience in cybersecurity , identity startups. Understanding of graph databases , unified identity graphs, or permission maps. Prior startup or co-founder experience. Benefits Elevate Europe's Tech Sovereignty : Help shape the culture and strategy of one of Europe’s leading Deep Tech platforms for this decade and beyond, empowering Europe’s independence from non-European technologies while supporting founders tackling major global challenges. Unparalleled Network Access : Gain direct access to Tier 1 European Deep Tech startups, scaleups, and top investors, connecting with the forefront of Europe’s Deep Tech ecosystem. Founder Culture : Operate with autonomy, driving initiatives as a force multiplier for Tier 1 Deep Tech founders, while refining your skills alongside Europe's leading (Deep) Tech experts. Compensation : Receive an equity package in a validated, high-growth business with seed-stage traction and a profitable business model, incl. a compensation tied to business results.

Location: Remote Wormhole Labs is a pioneering blockchain technology company building decentralized systems for a freer and fairer global economy. We're reshaping financial infrastructure across the entire crypto stack, from core protocol development to trading systems and user-facing applications. At our core, we're technology innovators bridging traditional finance with the emerging possibilities of crypto. Our seasoned team leverages deep technical expertise to develop solutions that advance the industry. We're seeking talented individuals who share our vision, and have the technical prowess to help build it — join us! As a Full-Stack Blockchain Engineer at Wormhole Labs, you will make significant contributions to Wormhole’s ecosystem of products, including smart contracts and protocols on multiple chains (EVM, Solana, Sui, Aptos, etc.), Wormhole’s validator (a.k.a. Guardian) software, and tooling to support multichain development. You will either driver or partner with domain experts on the entire lifecycle of product development. WHAT YOU WILL DO - Contribute to the design, implementation, testing, and security review of products within the Wormhole ecosystem. - Collaborate with cross-functional teams to gather customer requirements, analyze business needs, and translate them into code. - Follow best practices for secure product development and build future best practices alongside Wormhole security researchers. - Stay up to date with the latest in smart contract tooling, AI development tools, best practices, and industry trends. THE IDEAL CANDIDATE WILL - Have built distributed systems used by millions of users at companies of all sizes. - Have deep experience with Go or Rust. TypeScript experience is also valuable. - Be high agency and effect the outcomes they wish to see. - Care deeply about the business outcomes of your work and challenge priorities when the business impact is unclear. - Have a Bachelor's degree in Computer Science, Engineering, or a related field, although equivalent practical experience will also be taken into consideration. WE PROVIDE - Competitive salary and restricted token units, dependent on position type and location. - Unlimited time off, healthcare premium reimbursement, and 401K. - Top-of-the-line MacBook Pro laptop. - Flexibility of working from wherever you have work authorization, as long as you can work 10-6PM US Eastern Time. We minimize unnecessary meetings, but building decentralized systems requires synchronous communication. NOTE: THIS IS A SENIOR-LEVEL ROLE. WE WILL ONLY RESPOND TO APPLICANTS THAT MEET OUR REQUIREMENTS. IF WE DON’T RESPOND, PLEASE ASSUME A POLITE DECLINE FOR NOW.

Location: Singapore, Singapore OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity We are looking for a Product Designer to create intuitive, high-quality experiences for users discovering market opportunities, analysing assets, and trading across Web3 products. You will work closely with Product, Engineering, Content, and other design teams to solve complex problems in a fast-moving environment. Crypto experience is a plus, but strong design thinking, product judgment, and the ability to learn quickly are more important. Depending on team needs and your interests, your work may focus on: OKX Wallet — shaping a leading self-custody wallet experience and making asset management, dApp discovery, swaps, and cross-chain interactions seamless, intuitive, and trustworthy. OKX.AI — exploring the frontier of AI and Web3 by building an onchain Agent marketplace where Agents can discover work, collaborate, transact, and build reputation, with the ambition of enabling one person and one Agent to build a million-dollar company. X Layer — growing OKX’s Layer 2 ecosystem by designing DeFi products and new onchain experiences that attract users, builders, and liquidity. DEX Market — helping customers discover and understand opportunities across onchain markets, including emerging tokens, memes, and real-world assets. Onchain Trading — creating fast, intuitive, and trustworthy trading experiences across market discovery, execution, and position management. Growth — improving acquisition, activation, engagement, retention, and cross-product discovery through growth campaigns and ecosystem features such as Boost and Outcomes. What You’ll Be Doing Own the end-to-end design process, from problem definition and user flows to high-fidelity UI, prototypes, and final delivery. Turn complex product and business requirements into clear, intuitive user experiences. Work closely with Product and Engineering to evaluate trade-offs and make well-reasoned design decisions. Use research, data, user feedback, and product context to validate and improve solutions. Contribute to product discussions by identifying underlying user problems, challenging assumptions, and proposing better approaches. Maintain a high standard of design quality while working effectively under tight timelines and changing priorities. Design for a global user base across different markets, languages, and levels of Web3 experience. What We Look For In You 5+ years of experience in Product Design Strong design thinking and problem-solving ability, with a portfolio that clearly demonstrates how you frame problems, explore options, make decisions, and measure outcomes. Ability to remain structured and make sound design decisions in complex, ambiguous, and high-pressure situations. Proficiency with AI tools and the ability to apply them effectively throughout the design process, from research and ideation to prototyping, validation, and delivery. Strong ownership, self-motivation, and the ability to adapt quickly in a fast-changing environment. Clear communication skills and the ability to explain and defend design decisions in both English and Chinese. Experience collaborating effectively with Product Managers, Engineers, and other designers. Curiosity, ambition, and a genuine interest in staying current with developments in crypto, AI, and the wider design industry. Nice to Haves Experience designing crypto, fintech, investment, trading, wallet, or other data-intensive products. Familiarity with Web3 wallets, DApps, meme trading, token discovery, swaps, or on-chain products. Strong UI and visual design craft, with close attention to interaction details and overall product quality. Strong product sense and the ability to connect individual features with broader product goals and user journeys. Experience designing and shipping products for a global audience. Experience conducting user research, usability testing, or data-informed design validation. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! #LI-EW1 Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Singapore, Singapore OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity Join the team building Agentic OKDS—OKG’s design intelligence infrastructure and the operating system between human intent and AI-generated output. You will contribute across three connected capability areas: Foundations, including token architecture for color, spacing, and radius; Components, spanning OKDS core components, business components, and AI-ready architecture; and Templates + AI Tooling, covering template systems, AI transformation infrastructure, and pipeline readiness. Your primary assignment may change based on team needs, while you build the breadth to work effectively across all three. You will combine strong craft with design-engineering judgment to improve reuse, adoption, delivery speed, and implementation quality. What You’ll Be Doing Own scoped initiatives across Foundations, Components, or Templates + AI Tooling—from research and reuse validation through specification, release, adoption, and iteration—while contributing effectively across all three areas as priorities change. Develop and maintain foundation standards and token architecture for color, spacing, radius, themes, modes, and platform variation, ensuring consistency between Figma and implementation. Design and evolve OKDS core components and reusable business components with clear naming, variants, states, metadata, composition rules, and architecture suitable for designers, engineers, and AI-assisted workflows. Build reusable template systems and AI-readable guidance, and contribute to tooling infrastructure and validation workflows that improve AI pipeline readiness and production-quality output. Partner closely with engineers to ensure design intent, platform behavior, component APIs, and accessibility requirements remain aligned across Web, iOS, and Android. Prototype and improve AI-assisted workflows for template generation, component discovery, variant generation, specification, and quality review—while applying critical human judgment to the output. Drive adoption with product teams through consultation, enablement, migration support, and feedback loops; treat designers and engineers as users of the platform. Apply quality acceptance criteria covering interaction states, responsive behavior, accessibility, compliance, and implementation-ready handoff. Plan and deliver work transparently, manage dependencies, and track outcomes such as reuse, adoption, reduced rework, and faster implementation. What We Look For In You Demonstrated experience delivering reusable design-system components, patterns, or foundations in a complex digital-product environment. Strong Figma capability, including component properties, variables, modes, libraries, and scalable file organization. Working knowledge across design-system foundations, component architecture, and template systems, including tokens, theming, documentation, versioning, reusable business patterns, and contribution workflows. Strong craft under ambiguity: able to explore, prototype, test, and refine detailed interaction and visual behavior. Design-engineering fluency and comfort discussing implementation constraints, states, APIs, and platform differences. An adoption mindset: you investigate user needs, make standards practical, and follow through until teams can use them successfully. Practical capability with AI-assisted design and development workflows, plus the judgment to assess tooling, strengthen pipeline readiness, and review generated output for correctness, consistency, and production readiness. Clear written and verbal communication, constructive collaboration, and the ability to explain system decisions to designers, engineers, and product partners. Reliable operational ownership: able to scope work, communicate progress and risks, manage dependencies, and deliver with quality. Product and business awareness, including the ability to connect design-system choices to speed, quality, risk, and reuse. Working knowledge of accessibility, compliance, responsive behavior, and complete global-state design. Nice to Haves Experience designing for Fintech, Investment platforms, or Crypto products Experience working with teams across offices and timezones Understanding of React framework for Front End development Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: New York, New York, United States; San Francisco Lithic is the modern card issuing and processing platform empowering ambitious financial companies to build the future of payments. Our infrastructure powers card programs for 100+ innovative clients, from fintechs reimagining credit and digital banking to platforms transforming disbursements and spend management. Companies like Mercury, Flex, and Novo rely on Lithic's developer-friendly APIs, direct network connections, and flawless reconciliation to launch and scale card programs in weeks, not years. We're building a future where access to better financial products materially improves people's lives, free from the constraints of 30-year-old mainframes and legacy processors. We're proud to be backed by world-class investors who share that vision, including Bessemer Venture Partners, Index Ventures, Spark Capital, Stripes, and Mastercard, along with many others. We're a team of 170+ across 26 states and 7 countries, headquartered in New York City. Lithic is hiring a Solutions Engineer to design and deliver technical product solutions that meet customer needs and highlight the value of our platform. In this role, you'll be the technical and strategic bridge between Lithic and our clients. You'll own complex client relationships from pre-sale through implementation, helping partners design integrations, navigate the Lithic platform, and unlock the full potential of card issuing infrastructure. This is a high-impact, highly visible role that requires equal parts technical credibility, client empathy, and cross-functional influence. You’ll be responsible to collaborate with internal teams to develop tailored solutions that clearly demonstrate the benefits of working with Lithic. If you’re passionate about technology, problem-solving, and creating exceptional customer experiences this role is for you. What you'll do: Client Engagement Serve as a trusted technical advisor to a portfolio of strategic clients, from early-stage fintechs to enterprise partners. Lead discovery conversations to understand client goals, technical environments, and program requirements. Translate complex client needs into concrete integration designs and implementation plans. Own client relationships through the full lifecycle; scoping, build, launch, and ongoing optimization. Technical Depth Develop deep expertise in Lithic's APIs, card issuing workflows, and platform capabilities. Guide clients through integration decisions including authorization flows, transaction processing, tokenization, and card program configuration. Review client implementations and proactively identify risks, gaps, or optimization opportunities. Serve as a credible technical voice in escalations and complex problem-solving scenarios. Cross-Functional Collaboration Partner closely with Account Executives to support pre-sales and shape solution proposals. Work with Product and Engineering to surface client feedback, inform the roadmap, and advocate for platform improvements. Collaborate with bank partners and compliance teams to ensure client programs meet regulatory and network requirements. Contribute to internal knowledge-sharing by documenting solutions, building reusable frameworks, and mentoring junior team members. What you'll bring: Proven experience in Solutions Consulting, Sales Engineering, Solutions Architecture, or a similar customer-facing role focused on implementing SaaS or technology solutions. 3–5 years of experience in FinTech, particularly in payments, card issuance, or financial services technologies. Strong understanding of APIs and complex technical concepts, with the ability to translate them into clear, actionable insights for customers. Excellent communication skills: able to translate technical information into clear business language to different internal stakeholders. Strong presentation skills: comfortable and confident presenting to external teams technical and non-technical stakeholders. Strong product sense, concept explanation, and technical acumen: familiarity with APIs and technical concepts. A well-rounded contributor with strong product sense, communication, and storytelling skills. Low-ego collaborator who builds strong relationships internally and externally. Ability to thrive in a cross-functional environment, collaborating with diverse stakeholders and subject matter experts to deliver impactful, user-facing solutions. Experience working in a startup or fast-paced, high-growth environment, comfortable navigating ambiguity and driving results. The annual US salary range for this role is $170,000 - $225,000 plus equity. The range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the variable target and annual base salary for the role. This salary range may be inclusive of several career levels at Lithic and will be narrowed during the interview process based on the candidate’s experience and qualifications. This is a hybrid position. Candidates must be located within a commutable distance to our NYC office in Soho. We do not offer visa sponsorship or assistance. Benefits for Full-Time US Employees: Unlimited PTO 12-weeks fully paid parental leave 4-Week Fully Paid Sabbatical (earned at your 5-year anniversary) Work From Anywhere: work from anywhere in the world 4-weeks each year 3% cashback on card purchases with your complimentary Privacy.com employee account Health, vision, and dental insurance; HSA Contribution Match 401(k) match Voluntary Life Insurance and STD/LTD NYC-based employees work from our SoHo office three days a week. Tuesdays and Thursdays are our core days, and you'll choose a third day that works for your schedule and team needs. In-office employees receive: Commuter benefit Catered lunch every Tuesday and Thursday

Location: Singapore, Singapore OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa. Who We Are OKX is one of the world's leading crypto platforms — a regulated exchange, a self-custody wallet, and a growing ecosystem of decentralized applications used by millions globally. We move fast, ship constantly, and operate across trading, DeFi, payments, and social products — each with distinct users and design challenges. Our design organization is in the middle of a meaningful transformation: raising craft standards, building tighter brand-to-product coherence, and embedding AI into how we work. We're backed by our core principles — We Before Me, Do the Right Thing, and Get Things Done — and we take those seriously in how we hire, build, and ship. About the Opportunity We're looking for a Senior Visual/UI Designer to join the Visual System Team — the team responsible for how OKX looks and feels across every product surface (Mobile + Web). You'll work at the intersection of brand expression and product design, crafting the visual layer that makes OKX products feel distinctive, coherent, and trusted. This isn't a role where you receive a finalized wireframe and skin it. You'll be involved early — shaping how features are visually conceived, how brand moments are integrated into product flows, and how visual systems scale across an ecosystem of products used by millions. You'll work within OKX's Visual Systems infrastructure alongside the Design System and Content System teams, contributing to scalable visual frameworks — illustration guidelines, motion principles, iconography standards, and brand-in-product patterns — that raise quality across the entire product. What You’ll Be Doing Design product visual experiences. Create high-quality visual and UI design for OKX products — spanning trading, wallet, payments, and social features. Own the visual execution of key product surfaces, from concept through to pixel-perfect delivery. Balance beauty with clarity in a domain where trust and usability are non-negotiable. Contribute to visual systems. Work within and contribute to OKX's visual systems — shared illustration styles, motion tokens, color systems, iconography, and layout patterns. Your work should strengthen the system, not create one-off exceptions. Think in terms of reusable, scalable assets, not just deliverables. Use AI tools in your design workflow. Actively integrate AI into your daily practice — using generative tools for ideation, exploration, variation, and asset production. You're expected to experiment with AI-assisted workflows and bring what works back to the team. This is a core part of how we work, not an optional extra. Bridge brand and product. Translate brand direction into in-product visual experiences. Work with the Brand Design team to ensure that visual identity is consistent from marketing to core product — same palette, same sensibility, same quality bar. Collaborate cross-functionally. Partner with product designers, engineers, and product managers to ensure visual design decisions are grounded in user needs and technically feasible. Participate in design reviews, give and receive critique constructively, and communicate your rationale clearly. Pitch and present. Propose creative concepts to team leads and stakeholders. Articulate the reasoning behind visual choices — not just what you designed, but why it's the right solution for the user and the brand. What We Look For In You 4–6 years of experience in visual design or UI design, with a portfolio that demonstrates strong craft, attention to detail, and modern design sensibility across digital products. Mobile-first experience is essential. Fluency with AI design tools — you actively use tools like Midjourney, DALL·E, Figma AI features, or similar generative tools in your design workflow for ideation, exploration, and production. You don't just know about them; you use them to work faster and think wider. Strong visual craft — typography, color, composition, layout, and a keen eye for detail. You deliver pixel-perfect work and care about the micro-interactions and polish that separate good from great. Experience contributing to or working within design systems — you understand tokens, components, and how individual design decisions connect to a larger visual language. Proficiency in Figma and prototyping tools. Ability to produce high-fidelity prototypes that communicate motion and interaction intent. Solid understanding of human-centered design principles and how visual design serves usability, trust, and emotional connection — not just aesthetics. Clear communication skills — you can articulate design rationale, present to stakeholders, receive critique gracefully, and collaborate with non-designers. Nice to Haves Experience designing for fintech, crypto, or trading platforms — you understand the visual language of trust, precision, and data density. Illustration or motion skills — you can create original visual assets, not just compose them. Experience working with globally distributed teams across offices and time zones. Familiarity with how visual design integrates with front-end implementation — you understand CSS, design tokens, and component architecture well enough to collaborate effectively with engineers. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! #LI-EW1 Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .