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Location: London, United Kingdom Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. About the role We are looking for an Engineering Manager to lead Codeless, our internal Server-Driven UI (SDUI) platform team. In this role, you will lead a cross-functional team bridging mobile/web frontend engineering and core platform backend systems. While this role is deeply rooted in modern UI architecture, its mission goes beyond standard UI development: Codeless empowers product teams across the organization to ship dynamic, native UI experiences dynamically from the backend—eliminating app store release bottlenecks, dramatically accelerating feature iteration, and establishing a unified UI schema across iOS, Android, and Web. What you’ll be doing This is a role with broad impact, from hands-on technical guidance to championing web and mobile accessibility across the company. We're looking for a leader who excels at fostering collaboration and can confidently guide a concept from initial idea to robust implementation. Day-to-day in this role you’ll: Team Leadership & Strategy: Build, mentor, and scale an engineering team responsible for our core Server-Driven UI platform ("Codeless"). Foster an inclusive, high-ownership engineering culture. Platform Architecture & Evolution: Oversee the design and evolution of dynamic layout engines, declarative UI schemas, and client rendering frameworks across iOS, Android, and Web. Developer Velocity & Platform Adoption: Partner with product feature teams to drive internal adoption of Codeless. Ensure the platform provides exceptional Developer Experience, clear tooling, robust design system integration, and seamless debugging workflows. Technical Execution & Quality: Set high technical standards for platform performance, payload optimization, caching strategies, backward compatibility, and graceful offline/fallback behavior across client devices. Cross-Functional Collaboration: Work closely with Product Managers, Design System leaders, and Core Infrastructure engineers to align the Codeless roadmap with broader company initiatives and global design paradigms. What you’ll need to thrive Engineering Management: 3+ years of experience managing software engineering teams, with a track record of coaching engineers, delivering complex platform initiatives, and driving technical strategy. UI & Platform Domain Expertise: Strong foundational background in mobile (iOS/Android) or modern web architecture (React, SwiftUI, Jetpack Compose, or declarative UI paradigms). Product & Platform Mindset: Ability to treat internal product engineering teams as customers, evaluating platform success through developer velocity, adoption metrics, and rendering performance. Why join us At Deliveroo, you’ll do work that matters—solving real-world problems in a three-sided marketplace that’s constantly evolving. We’re food lovers, problem solvers, community builders and more, brought together by a shared drive to make things better. Working here you can expect to: 🔧 Solve meaningful problems at real scale Work on a complex, always-on marketplace that impacts millions every day. 🌱 See your impact, fast Ship, test and improve ideas quickly in a low-hierarchy, high-ownership environment. 🧠 Grow through challenge and ownership Take on big, ambiguous problems and accelerate your career with strong support. 🌎 A culture built for builders High standards, collaboration, flexible working and continuous learning. 💰 Share in the success you help create Competitive salary and equity options, so you’re rewarded for the impact you make. ➡️ Want a deeper look at how we build? Check out our Tech Blog. We aim to create a fair process that lets your skills shine—our interview typically includes 3-4 stages. Explore our Engineering Interview Guide here to help you feel confident at each stage. Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .

Location: Hong Kong Nex is on a mission to help families rediscover the joy of movement. Created by parents for parents, Nex combines technology and play to deliver fun, social, and interactive experiences powered by natural body motion, encouraging kids and adults to move more, play more, and have fun together. Nex Playground, the company’s award-winning active play system, is purpose-built to get families moving year-round, with safety and privacy as core considerations in its intentional design. It is certified kidSAFE+ COPPA compliant and built to support healthy, active play for all ages and abilities. Nex Playground features a growing library of 50+ experiences, including motion and dance games, fitness and educational experiences, and Nex Originals. Content includes collaborations with partners like Hasbro, Sesame Workshop, and NBCUniversal. Nex has been recognized by Fast Company’s Most Innovative Companies, TIME’s Best Inventions, and Parents’ Best Entertainment System for Families, and has earned Red Dot, IDEA, and Core77 international design awards. We encourage you to explore Have Fun and Is Motion Gaming Back? , as they offer a deeper look into our culture, values, and explain how our approach to motion gaming differs from previous generations. Nex employees may be expected to collaborate with colleagues across different time zones. Depending on the role and location, occasional travel may also be required for company events, external meetings, and other business-related activities. Important Notice: ⚠️ To protect yourself from recruitment scams, please note that Nex communicates through official company emails ending in @nex.inc . If you receive a suspicious email or message, please do not respond and report it immediately to us. Location: Hong Kong Type: Full Time Contractor, with the possibility to extend or convert Reports to: UX/UI Design Manager The Role We’re looking for a highly meticulous UI Technical Artist who bridges the gap between UI/UX design and Unity implementation, with an uncompromising commitment to visual precision. In this role, you’ll bring user interfaces to life through flawless technical setup, UI motion design, and polished micro-interactions. We need a candidate who truly aims for pixel-perfect fidelity. Someone who cares deeply about aligning margins, font rendering, anchoring, and visual feedback down to the exact pixel, while maintaining a strong animation sense and high visual polish. What You'll Do Pixel-Perfect UI Implementation in Unity: Translate 2D design layouts into Unity UI with relentless accuracy, ensuring exact spacing, scale, typography, and responsiveness across varying resolutions. UI Motion & Animation Design: Design, animate, and fine-tune UI transitions, dynamic menus, and micro-interactions using Unity Timeline, Animator, Spine 2D, or tweening packages, with a sharp eye for weight, timing, and easing. Visual Feedback: Elevate the player experience by crafting crisp visual feedback using lightweight shaders (Shader Graph), UI particle systems, and subtle motion effects that feel satisfying and responsive. Precision Asset Management & Optimization: Set up dynamic anchoring, Sprite Atlases, text rendering (TextMeshPro), and UI prefabs to maintain visual perfection without compromising game performance or draw call limits. Design & Engineering Alignment: Serve as the visual quality gatekeeper by collaborating closely with UI/UX designers to honor their visual vision and working with engineers to tie UI elements into game logic seamlessly. Maintain High UI Standards: Establish robust, scalable UI structures, prefabs, and workflow guidelines that ensure consistency and visual rigor across our entire game portfolio. What We're Looking For Uncompromising Eye for Precision: A relentless commitment to pixel perfection, sharp detail, and visual accuracy when translating static or prototype designs into live, in-engine UI. Solid Unity UI Implementation Skills: Proven hands-on experience building, structuring, and optimizing UI Canvas setups in Unity. Strong Animation & Motion Sense: Deep understanding of timing, curve dynamics, and movement principles tailored specifically to menu transitions, UI states, and player feedback. Technical UI Asset Knowledge: Expertise in preparing UI assets, slice/9-grid setups, Sprite Atlases, TextMeshPro configurations, and clean prefab architecture. UI FX Capabilities: Practical experience creating UI feedback effects using particle systems, shaders (Shader Graph), or vector-based UI techniques. Nice to Have Basic scripting knowledge in C# to trigger UI animations or prototype layout behavior independently. We Offer Competitive compensation package. Flexible working hours and vacation policy. Product-driven culture that treasures talents and individual growth. Front-row seat and hands-on experience with cutting edge technologies in the evolving gaming field Nex is located in San Jose, California, USA and Hong Kong . Learn more about us at https://www.nexplayground.com/about . We encourage applications even if you don’t meet more than 50% of the requirements — we believe that experience comes in many forms! Nex is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, gender identity, and sexual orientation), national origin, ancestry, age, physical or mental disability, medical condition, genetic information, marital status, military or veteran status, or any other characteristic protected by applicable law. This policy applies to all individuals at every stage of the employment relationship, including all current and prospective employees, and covers all employment decisions including recruitment, hiring, job assignment, promotion, compensation, benefits, training, discipline and termination. We are committed to providing a workplace free from discrimination and harassment and to fostering an inclusive environment for all employees.

Responsibilities: • Assist customers offline and online • Prepare and ship orders • Work with the customer database • Merchandising and maintaining store presentation • Stock control and inventory management Requirements: • Confident English • Greek will be a plus • Valid Cyprus work permit We offer: • Official employment • Full-time / part-time position • Salary based on interview results • Staff discounts and growth opportunities

Responsibilities: - Processing online orders - Store merchandising - Inventory & stock control - Daily store operations Requirements: - English required (Russian is a plus) - Valid Cyprus work permit We offer: - Official employment - Staff discounts - Central Limassol location - Growth opportunity to Sales Manager Please send your CV + answers: - Do you have a Cyprus work permit? - Your English level? - Any retail/sales experience?

Responsibilities: • Manage online and offline sales as one integrated system • Monitor KPIs, budgets, and business metrics • Increase customer retention, repeat purchases, and overall performance • Manage assortment, pricing, margins, and forecasting • Coordinate marketing and sales operations • Lead and develop the team • Optimize internal processes and improve efficiency Requirements: • Experience in retail and/or e-commerce management • Strong analytical and leadership skills • Data-driven and strategic mindset • Fluent Russian and English • Valid Cyprus work permit Would be a plus: • FMCG or premium retail experience • Understanding of CRM, customer journey, and unit economics We offer: • Key management role in the company • Competitive salary + bonuses • Official employment • Staff discounts • Modern working environment in central Limassol

Location: Remote About the company Hi, we're Ondo Finance. Our mission is to provide institutional-grade, blockchain-enabled investment products and services. We have both a technology arm that develops decentralized finance technology, and an asset management arm that creates and manages tokenized funds. We were the first company to tokenize exposure to US Treasuries, and have since expanded into several other assets. We are also focused on incubating protocols that can support both tokenized real-world assets and traditional crypto. Founded by folks from Goldman Sachs Digital Assets Team, we’re backed by some of the best investors in the world including Founders Fund, Coinbase Ventures, Pantera Capital, Tiger Global, and more. We are currently the leaders in the space in terms of AUM and are well capitalized to continue growing the firm. We're fully remote, with team members across the U.S. About the Role We are seeking a detail-oriented and proactive Compliance Senior Associate to join our Compliance team. This role supports the Firm's regulatory compliance program by assisting with e-communication surveillance, due diligence, risk assessments, regulatory examinations, and governance processes. The ideal candidate has a strong foundation in AML/BSA, KYC, and OFAC compliance within financial services, and is comfortable working across a broad range of compliance functions in a fast-paced environment. Responsibilities Assist with the Firm's e-communication archiving reviews to monitor and ensure adherence to firm policies. Provide input on and help complete Due Diligence Questionnaires (DDQs) and Requests for Proposals (RFPs). Complete weekly, monthly, and quarterly compliance checklists in a timely and accurate manner. Help maintain and update the Firm's compliance manual to reflect current policies and regulatory requirements. Assist in the preparation of risk assessments, annual reviews, and vendor reviews. Support the Firm's responses and documentation requests related to regulatory inquiries, third-party examinations, and internal audits. Help maintain governance around relevant committees, including scheduling, preparing materials, and documenting meeting notes. Requirements 5+ years of experience in KYC, AML, or compliance operations within financial services or fintech. Deep knowledge of AML/BSA regulatory requirements, risk-based customer due diligence, and OFAC sanctions compliance. Strong ability to analyze situations for compliance and business risk, and to implement effective solutions to address and mitigate such risk. Excellent organizational skills with strong attention to detail and the ability to manage multiple deadlines simultaneously. Strong written and verbal communication skills, with the ability to work cross-functionally and interact with regulators, auditors, and internal stakeholders. Preferred: 2+ years of prior financial services compliance experience within a Broker-Dealer (B/D) or Registered Investment Adviser (RIA). What we offer Competitive compensation including but not limited to salary, future token rights, and/or equity (according to your preferences) — We are well-funded and believe that great talent deserves great compensation. Full benefits (medical, vision, and dental) and flexible vacation policy (PTO). Remote-first team across many countries — You will be an early team member helping shape our vision, culture, and design practices. A+ colleagues — Our team includes alumni from: Goldman Sachs, Blackrock, Two Sigma, Bridgewater, SpaceX, AWS, Meta, Google, McKinsey, Circle, Uniswap. Best-in-class investors — We are proud to be backed by leading crypto experts and VCs, including Pantera Capital, Founders Fund and Coinbase Ventures.

- Maintain, scrub, and organize large sets of financial records to ensure data integrity across ledgers and reporting systems. - Perform detailed weekly and monthly reconciliations (bank, revenue, crypto balances) and investigate variances.

Location: Remote - US Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio’s next Senior Director of Developer Relations. About the job We’re hiring a Sr Director of Developer Relations to lead the global team building the strategies and programs that inspire and equip developers to win with Twilio. You’ll lead a unique, world-class org of hybrid engineer-marketers as you evolve the GTM motion that Twilio pioneered. This is a high-visibility, high-agency role reporting into Marketing, while working lockstep with Product and Go-To-Market. The DevRel team at Twilio exists to make heroes of developers in their own organizations. You'll ensure we do this by showing up where developers live, both online and offline, while being humble, authentic and acting as a servant leader in the community. You are strategic yet deeply plugged into the Dev ecosystem, turning community engagement, technical contributions, and developer awareness into a steady drumb Responsibilities In this role, you’ll: Serve as a figurehead, influencer, and key speaker on the global DevRel circuit, setting a high standard for how Twilio engages with builders online and offline. Define the long-term global narrative for developer marketing. Build consensus and influence at the executive level to ensure cross-functional alignment with Product, Marketing, and GTM teams. Recruit, mentor, and cultivate a unique global organization of Developer Evangelists, Advocates, and community specialists. Foster a culture of technical excellence that blends engineering rigor with world-class marketing storytelling. Guide and scale Twilio's global Startups Program, help the team shape the strategic frameworks, partnerships, and early-stage developer initiatives that establish Twilio as the foundational tech stack for the next generation of high-growth companies. Oversee a comprehensive technical content program (covering video, newsletters, and YouTube) to showcase the “art of the possible” with Twilio. Partner closely with the PR team to fuel our creator and influencer engine, leveraging both internal advocates and external partners to amplify developer-first storytelling. Evolve our community and forums strategy into a modern, high-engagement motion. Build robust User-Generated Content (UGC) and ambassador programs that turn developers into long-term advocates across modern developer surfaces. Spearhead Twilio’s Builder event strategy, ensuring our team is on the ground at major developer gatherings & meetups by showing, not just telling. Build strategic relationships with adjacent ecosystem partners to unlock high-impact co-marketing and launch activations. Act as the ultimate steward of the developer experience. Navigate and facilitate complex, sensitive public community situations with high empathy, tact, and professional media coordination, while synthesizing community signals to directly inform the product roadmap. Qualifications Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! *Required: 7+ years of leadership experience managing developer relations, technical evangelism, or community advocacy programs (and 10+ years total working in this technical field). Proven track record of building, training, and scaling outstanding technical global teams to support local and global stakeholders. Deep technical baseline with an understanding of software developer personas and workflows (e.g., former full-time developer or hands-on software development experience). Strong data-driven execution skills with a demonstrated understanding of marketing motions and user growth metrics. Excellent communication skills with the ability to influence and build trusted relationships with C-level executives, journalists, bloggers, and industry analysts. Desired: Experience leading a developer relations team that directly supports a bottom-up, Product-Led Growth (PLG) self-service GTM motion. Firsthand experience contributing to or directing prominent open-source software communities or public engineering forums. An established professional network spanning a diverse set of technical communities, platform ecosystems, and developer networks. Location This role will be remote and based in the USA. Travel We prioritize connection and opportunities to build relationships with developers, customers, and each other. For this role, approximately 30% travel is anticipated. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Compensation *Please note this role is open to candidates outside of California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Washington D.C., and Washington State. The information below is provided for candidates hired in those locations only. The estimated pay ranges for this role are as follows: Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C. : $275,840 - $344,800. Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): $292,080 - $365,100. Based in the San Francisco Bay area, California: $324,480 - $405,600. This role may be eligible to participate in Twilio’s equity plan and corporate bonus plan. All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave. The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. Applications for this role are intended to be accepted until November 13, 2026 but may change based on business needs. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic . Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. . Stay alert to recruitment fraud We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @ twilio.com email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps. . Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Location: Metro Manila; Kazakhstan Workplace: Hybrid Salmon is a technology-driven financial company building a banking and lending platform across Southeast Asia, starting in the Philippines. We combine global fintech expertise with deep local market knowledge to make financial services simple, accessible, and useful for millions of people across the region. 7M+ app downloads. 2M+ monthly active users. 7,000+ partner stores. US$310M+ raised from leading global investors. Manila-based, globally distributed, and hybrid-first — our team spans 45+ countries. If you want to solve complex problems at scale and impact how millions of people access and manage money, come build with us. Southeast Asia's fintech moment starts here. About the role You'll own regulatory license application projects for Salmon, managing submissions to the BSP (Bangko Sentral ng Pilipinas), the SEC (Securities and Exchange Commission), and other regulators as the company expands its licensed products and geographies. This is a hands-on role for someone who goes deep into the detail, drafts the materials themselves, and keeps applications moving. What you'll do - Work within a small, dedicated licensing function, coordinating across legal, compliance, finance, product, and PMO teams to move license applications forward - Serve as the primary on-the-ground point of contact in Manila for licensing projects, working closely with a remote team lead - Navigate regulatory back-and-forth: drafting responses, tracking open items, and keeping stakeholders aligned across multiple concurrent applications - Keep applications on track by explaining the regulatory context and requirements behind each request, so stakeholders understand what is needed and why, and escalating with clear facts and impact when inputs are blocked What you'll own - End-to-end management of regulatory license applications, from initial pack preparation through regulator approval - Drafting application documentation yourself (application letters, governance materials, and corporate documents), bringing in the relevant stakeholders for input/support where needed and sign-off - Timelines, deadlines, and deliverables across multiple license projects simultaneously, pushing stakeholders to deliver on time and escalating risks early - Coordination with legal, compliance, finance, and business owners to gather inputs and ensure submissions are accurate and complete - Ongoing communication with regulators, tracking questions, comments, and required follow-ups through to closure - Supporting the transition of licensing projects from the PMO team into the dedicated licensing function What makes you a strong fit - 3-5 years of experience combining legal, regulatory, and project management work on complex, multi-stakeholder projects in financial services or fintech - Hands-on experience with license applications for financial activities (e.g. banking, e-money/payments, securities/trading, lending) or comparable fintech regulatory projects, at a bank, payment company, EMI, trading firm, or financial institution, or through law firm or Big Four advisory work in financial services - Strong drafting skills: you're comfortable reading regulations, interpreting requirements, and writing submission-ready documents - Detail-oriented, with the ability to spot gaps and inconsistencies before the regulator does - Confident and persistent with stakeholders at all levels: you explain the "why" behind each request with clear regulatory context and detail, follow up, push back, and escalate when needed, while keeping relationships constructive - Comfortable working with Confluence, JIRA, and Slack as core operating tools - Relocation to Manila is required

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 Life Sciences team is building a research group focused on biological discoveries by combining AI with hands-on biological research. We're seeking a research scientist who combines deep chemistry knowledge with machine learning expertise to join the team. Our goal is to speed up progress in the life sciences by an order of magnitude, and this role puts that mission into practice. You'll be a computational chemist who knows reactions, synthesis, and medicinal chemistry in depth and has hands-on experience training and evaluating machine learning models. Above all, you'll build the reinforcement learning environments, datasets, and evaluations that teach Claude chemistry. Working alongside our bench chemists and AI researchers, you'll turn real chemistry problems and experimental data into training tasks and measure whether the models get better at them. This role is fully on-site in the San Francisco Bay Area. Key responsibilities Design and build reinforcement learning environments for chemistry end to end, including task design, data curation, automated grading, and checks against shortcuts and data leakage Design and source new experimental datasets, environments, and evaluations with our bench chemists, and external research and academic partners Develop evaluations that measure model performance on real chemistry tasks, such as reaction outcome prediction, synthesis planning, structure elucidation, and compound design, and feed results back to research teams Run and analyze training experiments with AI research teams, diagnose where models fail at chemistry, and prioritize what to build next Ensure datasets and environments are high quality and well documented, including sources, train and test splits, and failure modes Communicate findings clearly to chemistry, AI research, and life sciences audiences Minimum qualifications PhD in chemistry, computational chemistry, or a related field Deep knowledge of organic and medicinal chemistry, including reactions, synthesis, and SAR, with experimental data as your ground truth Strong Python skills and solid machine learning fundamentals, with hands-on experience training and evaluating models Comfort navigating ambiguity and defining problems in a rapidly evolving research environment Ability to work independently while collaborating effectively across cross-functional teams, with strong written and verbal communication skills Preferred qualifications Experience with reinforcement learning, large language models, or building evaluations and benchmarks Track record of supporting drug discovery programs alongside medicinal and synthetic chemists Experience curating chemistry datasets from the literature, patents, or lab notebooks, including reaction, ADMET, and spectroscopic data Cheminformatics and molecular modeling skills, for example RDKit, docking, free energy calculations, or quantum chemistry Hands-on synthetic or medicinal chemistry experience at the bench Publications, patents, or open-source software demonstrating scientific impact 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: $300,000 — $320,000 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. 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: Armenia; Lebanon; Russia We are seeking a highly articulate, efficient, and bilingual Medical Coordinator & Front Desk Specialist to support our active General / Family / Internal Medicine practice. In this role, you will serve as the administrative backbone of our clinic—managing a high volume of inbound and outbound patient calls ( 500–1,000 calls per week across the practice ), verifying insurance coverage, processing medication refills, managing prior authorizations, and maintaining pristine schedules within our EHR system. Fluency in both English and Armenian is strictly required to effectively serve our patient community. Key Responsibilities 1. Patient Communications & High-Volume Call Management Handle high-volume inbound and outbound phone calls using our cloud phone system ( Nextiva VOIP ). Answer patient inquiries, schedule and confirm appointments, and triage urgent calls with a warm, professional, and clear telephone manner in both English and Armenian. 2. Insurance Verification & Prior Authorizations Verify patient insurance eligibility, copays, deductibles, and benefits prior to scheduled appointments. Initiate, submit, and track insurance prior authorizations for procedures, diagnostic imaging, and medications. 3. Prescription Refills & Clinical Administrative Support Process medication refill requests following clinic protocols, verifying prescription history in the EHR, and routing notes to providers. Manage provider schedules, optimize appointment calendar flow, and perform daily patient outreach to minimize missed visits. 4. EHR & Data Management Manage patient charts, registration records, and scheduling workflows within Athenahealth EHR (or similar platforms). Utilize Microsoft Excel and Office tools to track daily administrative tasks, referral logs, and task lists. Qualifications & Requirements Language Mastery (Non-Negotiable): Superior spoken and written communication skills in both English and Armenian . Clinical Experience: 1–2 years of experience in General, Family, or Internal Medicine (preferably in a Front Desk, Medical Assistant, or Coordinator role). Highly qualified candidates with strong medical backgrounds in other specialties will also be considered. Core Competencies: Proven experience managing high call volumes, insurance verifications, prior authorizations, prescription refills, and patient scheduling. Technical Proficiency: Proficient in Microsoft Excel and Office Suite. Requirements Preferred Qualifications EHR: Hands-on experience with Athenahealth (Athena) EHR . Phone Systems: Familiarity with Nextiva VOIP or cloud-based phone platforms.

Location: United Kingdom; Germany; Poland; South Africa; United Arab Emirates; Egypt About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking an experienced Rust Backend Architect to contribute to an AI training project focused on production-grade Rust development, backend architecture, and complex systems engineering. You will solve and validate technical problems involving APIs, persistence, asynchronous processing, concurrency, performance, and service reliability. You will also build reproducible implementation and testing environments, assess architectural decisions, and ensure backend solutions meet production-quality standards. The ideal candidate combines strong hands-on Rust programming skills with proven experience designing, debugging, and evaluating reliable backend systems. SENIORITY: Senior / Architect-Level Engineer LANGUAGE: Strong written and verbal English LOCATION: Remote — Worldwide START DATE: Immediate availability preferred Key Responsibilities Solve and validate Rust backend engineering problems involving APIs, service behavior, data persistence, concurrency, performance, and reliability. Translate functional requirements, performance targets, and failure-handling expectations into reproducible implementation and testing workflows. Design, review, and assess backend architectures for correctness, scalability, maintainability, and production readiness. Prepare Rust crate workspaces, configuration files, test fixtures, dependency services, databases, and containerized development environments. Develop and validate test cases that assess expected behavior, edge cases, failure scenarios, and system reliability. Debug complex backend issues and identify weaknesses in implementation, architecture, or system design. Evaluate asynchronous and concurrent systems, including potential race conditions, resource contention, and performance bottlenecks. Produce clear technical explanations and implementation artifacts that meet project specifications and support AI training and evaluation. Maintain consistent output quality while meeting weekly submission requirements and project deadlines. Requirements Strong hands-on proficiency in Rust, demonstrated through substantial professional, research, or open-source software development. Strong understanding of backend service design, APIs, data persistence, and production software architecture. Practical knowledge of asynchronous programming, concurrency, error handling, and performance optimization in Rust. Experience analyzing and resolving complex backend correctness, scalability, reliability, or performance problems. Ability to translate technical requirements into working implementations, reproducible tests, and verifiable outcomes. Experience with Rust workspaces, dependency management, test environments, and backend development tooling. Strong debugging, analytical reasoning, and technical problem-solving skills. Clear written communication and the ability to explain architectural decisions and technical findings. Availability to contribute approximately 15 hours per week and meet the project's minimum weekly task requirements. Ability to begin work within 24–48 hours after completing onboarding.

Location: Brazil; Argentina; Colombia; Chile; Peru; Uruguay About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking an experienced Rust Backend Architect to contribute to an AI training project focused on production-grade Rust development, backend architecture, and complex systems engineering. You will solve and validate technical problems involving APIs, persistence, asynchronous processing, concurrency, performance, and service reliability. You will also build reproducible implementation and testing environments, assess architectural decisions, and ensure backend solutions meet production-quality standards. The ideal candidate combines strong hands-on Rust programming skills with proven experience designing, debugging, and evaluating reliable backend systems. SENIORITY: Senior / Architect-Level Engineer LANGUAGE: Strong written and verbal English LOCATION: Remote — Worldwide START DATE: Immediate availability preferred Key Responsibilities Solve and validate Rust backend engineering problems involving APIs, service behavior, data persistence, concurrency, performance, and reliability. Translate functional requirements, performance targets, and failure-handling expectations into reproducible implementation and testing workflows. Design, review, and assess backend architectures for correctness, scalability, maintainability, and production readiness. Prepare Rust crate workspaces, configuration files, test fixtures, dependency services, databases, and containerized development environments. Develop and validate test cases that assess expected behavior, edge cases, failure scenarios, and system reliability. Debug complex backend issues and identify weaknesses in implementation, architecture, or system design. Evaluate asynchronous and concurrent systems, including potential race conditions, resource contention, and performance bottlenecks. Produce clear technical explanations and implementation artifacts that meet project specifications and support AI training and evaluation. Maintain consistent output quality while meeting weekly submission requirements and project deadlines. Requirements Strong hands-on proficiency in Rust, demonstrated through substantial professional, research, or open-source software development. Strong understanding of backend service design, APIs, data persistence, and production software architecture. Practical knowledge of asynchronous programming, concurrency, error handling, and performance optimization in Rust. Experience analyzing and resolving complex backend correctness, scalability, reliability, or performance problems. Ability to translate technical requirements into working implementations, reproducible tests, and verifiable outcomes. Experience with Rust workspaces, dependency management, test environments, and backend development tooling. Strong debugging, analytical reasoning, and technical problem-solving skills. Clear written communication and the ability to explain architectural decisions and technical findings. Availability to contribute approximately 15 hours per week and meet the project's minimum weekly task requirements. Ability to begin work within 24–48 hours after completing onboarding.

Location: United States; Canada; Mexico; Costa Rica; Panama; Guatemala About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking an experienced Rust Backend Architect to contribute to an AI training project focused on production-grade Rust development, backend architecture, and complex systems engineering. You will solve and validate technical problems involving APIs, persistence, asynchronous processing, concurrency, performance, and service reliability. You will also build reproducible implementation and testing environments, assess architectural decisions, and ensure backend solutions meet production-quality standards. The ideal candidate combines strong hands-on Rust programming skills with proven experience designing, debugging, and evaluating reliable backend systems. SENIORITY: Senior / Architect-Level Engineer LANGUAGE: Strong written and verbal English LOCATION: Remote — Worldwide START DATE: Immediate availability preferred Key Responsibilities Solve and validate Rust backend engineering problems involving APIs, service behavior, data persistence, concurrency, performance, and reliability. Translate functional requirements, performance targets, and failure-handling expectations into reproducible implementation and testing workflows. Design, review, and assess backend architectures for correctness, scalability, maintainability, and production readiness. Prepare Rust crate workspaces, configuration files, test fixtures, dependency services, databases, and containerized development environments. Develop and validate test cases that assess expected behavior, edge cases, failure scenarios, and system reliability. Debug complex backend issues and identify weaknesses in implementation, architecture, or system design. Evaluate asynchronous and concurrent systems, including potential race conditions, resource contention, and performance bottlenecks. Produce clear technical explanations and implementation artifacts that meet project specifications and support AI training and evaluation. Maintain consistent output quality while meeting weekly submission requirements and project deadlines. Requirements Strong hands-on proficiency in Rust, demonstrated through substantial professional, research, or open-source software development. Strong understanding of backend service design, APIs, data persistence, and production software architecture. Practical knowledge of asynchronous programming, concurrency, error handling, and performance optimization in Rust. Experience analyzing and resolving complex backend correctness, scalability, reliability, or performance problems. Ability to translate technical requirements into working implementations, reproducible tests, and verifiable outcomes. Experience with Rust workspaces, dependency management, test environments, and backend development tooling. Strong debugging, analytical reasoning, and technical problem-solving skills. Clear written communication and the ability to explain architectural decisions and technical findings. Availability to contribute approximately 15 hours per week and meet the project's minimum weekly task requirements. Ability to begin work within 24–48 hours after completing onboarding.

Location: India; Australia; Japan; Singapore; Philippines; New Zealand About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking an experienced Rust Backend Architect to contribute to an AI training project focused on production-grade Rust development, backend architecture, and complex systems engineering. You will solve and validate technical problems involving APIs, persistence, asynchronous processing, concurrency, performance, and service reliability. You will also build reproducible implementation and testing environments, assess architectural decisions, and ensure backend solutions meet production-quality standards. The ideal candidate combines strong hands-on Rust programming skills with proven experience designing, debugging, and evaluating reliable backend systems. SENIORITY: Senior / Architect-Level Engineer LANGUAGE: Strong written and verbal English LOCATION: Remote — Worldwide START DATE: Immediate availability preferred Key Responsibilities Solve and validate Rust backend engineering problems involving APIs, service behavior, data persistence, concurrency, performance, and reliability. Translate functional requirements, performance targets, and failure-handling expectations into reproducible implementation and testing workflows. Design, review, and assess backend architectures for correctness, scalability, maintainability, and production readiness. Prepare Rust crate workspaces, configuration files, test fixtures, dependency services, databases, and containerized development environments. Develop and validate test cases that assess expected behavior, edge cases, failure scenarios, and system reliability. Debug complex backend issues and identify weaknesses in implementation, architecture, or system design. Evaluate asynchronous and concurrent systems, including potential race conditions, resource contention, and performance bottlenecks. Produce clear technical explanations and implementation artifacts that meet project specifications and support AI training and evaluation. Maintain consistent output quality while meeting weekly submission requirements and project deadlines. Requirements Strong hands-on proficiency in Rust, demonstrated through substantial professional, research, or open-source software development. Strong understanding of backend service design, APIs, data persistence, and production software architecture. Practical knowledge of asynchronous programming, concurrency, error handling, and performance optimization in Rust. Experience analyzing and resolving complex backend correctness, scalability, reliability, or performance problems. Ability to translate technical requirements into working implementations, reproducible tests, and verifiable outcomes. Experience with Rust workspaces, dependency management, test environments, and backend development tooling. Strong debugging, analytical reasoning, and technical problem-solving skills. Clear written communication and the ability to explain architectural decisions and technical findings. Availability to contribute approximately 15 hours per week and meet the project's minimum weekly task requirements. Ability to begin work within 24–48 hours after completing onboarding.

Location: United States; Canada; Mexico; Costa Rica; Panama; Guatemala About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking a highly skilled Machine Learning Research & Engineering Specialist to contribute to an advanced AI training project focused on model development, training and inference systems, numerical computing, and performance optimization. This is a coding-intensive role requiring hands-on experience with Python, machine learning engineering, and coding agents integrated into development workflows. You will build, modify, debug, and validate machine learning implementations, create reproducible training and inference pipelines, and optimize systems for correctness, memory usage, and throughput. The ideal candidate combines strong quantitative foundations with practical coding skills and experience solving complex machine learning engineering problems. SENIORITY: Experienced / Research-Level Engineer EDUCATION: Master's degree or PhD in a relevant quantitative discipline LANGUAGE: Strong written and verbal English LOCATION: Remote — Worldwide Key Responsibilities Develop, implement, and validate machine learning models, training pipelines, inference systems, and supporting infrastructure. Implement or modify model components, data pipelines, evaluation systems, and numerical methods using Python. Build reproducible programmatic workflows using Python, command-line tools, and relevant machine learning frameworks. Debug numerical, algorithmic, and system-level failures to identify root causes and implement reliable solutions. Optimize model training and inference for memory usage, computational efficiency, throughput, and performance. Design and execute tests to verify implementation correctness and compliance with objective performance requirements. Review and validate challenging machine learning engineering tasks, including existing code and proposed solutions. Use coding agents as part of the development workflow to accelerate implementation, debugging, testing, and code review while validating generated results. Document technical approaches, implementation decisions, test results, and performance findings clearly. Deliver high-quality, reproducible task submissions within project deadlines. Requirements Master's degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, Statistics, Engineering, or a closely related quantitative discipline. Strong professional or research experience in machine learning and practical ML engineering. Strong Python programming skills, including the ability to implement, debug, test, and optimize non-trivial code. Hands-on experience using coding agents within a Python development workflow. Understanding of machine learning model development, training and inference workflows, and evaluation methods. Ability to build reproducible implementations and verify correctness through systematic testing. Strong quantitative reasoning and problem-solving skills, particularly when diagnosing numerical or computational issues. Ability to work independently, manage technical tasks, and meet defined quality and submission requirements. Strong written communication skills and the ability to explain technical findings. Availability to contribute approximately 15 hours per week and begin the first task within 24–48 hours after onboarding.

Location: Brazil; Argentina; Colombia; Chile; Peru; Uruguay About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking a highly skilled Machine Learning Research & Engineering Specialist to contribute to an advanced AI training project focused on model development, training and inference systems, numerical computing, and performance optimization. This is a coding-intensive role requiring hands-on experience with Python, machine learning engineering, and coding agents integrated into development workflows. You will build, modify, debug, and validate machine learning implementations, create reproducible training and inference pipelines, and optimize systems for correctness, memory usage, and throughput. The ideal candidate combines strong quantitative foundations with practical coding skills and experience solving complex machine learning engineering problems. SENIORITY: Experienced / Research-Level Engineer EDUCATION: Master's degree or PhD in a relevant quantitative discipline LANGUAGE: Strong written and verbal English LOCATION: Remote — Worldwide Key Responsibilities Develop, implement, and validate machine learning models, training pipelines, inference systems, and supporting infrastructure. Implement or modify model components, data pipelines, evaluation systems, and numerical methods using Python. Build reproducible programmatic workflows using Python, command-line tools, and relevant machine learning frameworks. Debug numerical, algorithmic, and system-level failures to identify root causes and implement reliable solutions. Optimize model training and inference for memory usage, computational efficiency, throughput, and performance. Design and execute tests to verify implementation correctness and compliance with objective performance requirements. Review and validate challenging machine learning engineering tasks, including existing code and proposed solutions. Use coding agents as part of the development workflow to accelerate implementation, debugging, testing, and code review while validating generated results. Document technical approaches, implementation decisions, test results, and performance findings clearly. Deliver high-quality, reproducible task submissions within project deadlines. Requirements Master's degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, Statistics, Engineering, or a closely related quantitative discipline. Strong professional or research experience in machine learning and practical ML engineering. Strong Python programming skills, including the ability to implement, debug, test, and optimize non-trivial code. Hands-on experience using coding agents within a Python development workflow. Understanding of machine learning model development, training and inference workflows, and evaluation methods. Ability to build reproducible implementations and verify correctness through systematic testing. Strong quantitative reasoning and problem-solving skills, particularly when diagnosing numerical or computational issues. Ability to work independently, manage technical tasks, and meet defined quality and submission requirements. Strong written communication skills and the ability to explain technical findings. Availability to contribute approximately 15 hours per week and begin the first task within 24–48 hours after onboarding.

Location: United Kingdom; Germany; Poland; South Africa; United Arab Emirates; Egypt About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking a highly skilled Machine Learning Research & Engineering Specialist to contribute to an advanced AI training project focused on model development, training and inference systems, numerical computing, and performance optimization. This is a coding-intensive role requiring hands-on experience with Python, machine learning engineering, and coding agents integrated into development workflows. You will build, modify, debug, and validate machine learning implementations, create reproducible training and inference pipelines, and optimize systems for correctness, memory usage, and throughput. The ideal candidate combines strong quantitative foundations with practical coding skills and experience solving complex machine learning engineering problems. SENIORITY: Experienced / Research-Level Engineer EDUCATION: Master's degree or PhD in a relevant quantitative discipline LANGUAGE: Strong written and verbal English LOCATION: Remote — Worldwide Key Responsibilities Develop, implement, and validate machine learning models, training pipelines, inference systems, and supporting infrastructure. Implement or modify model components, data pipelines, evaluation systems, and numerical methods using Python. Build reproducible programmatic workflows using Python, command-line tools, and relevant machine learning frameworks. Debug numerical, algorithmic, and system-level failures to identify root causes and implement reliable solutions. Optimize model training and inference for memory usage, computational efficiency, throughput, and performance. Design and execute tests to verify implementation correctness and compliance with objective performance requirements. Review and validate challenging machine learning engineering tasks, including existing code and proposed solutions. Use coding agents as part of the development workflow to accelerate implementation, debugging, testing, and code review while validating generated results. Document technical approaches, implementation decisions, test results, and performance findings clearly. Deliver high-quality, reproducible task submissions within project deadlines. Requirements Master's degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, Statistics, Engineering, or a closely related quantitative discipline. Strong professional or research experience in machine learning and practical ML engineering. Strong Python programming skills, including the ability to implement, debug, test, and optimize non-trivial code. Hands-on experience using coding agents within a Python development workflow. Understanding of machine learning model development, training and inference workflows, and evaluation methods. Ability to build reproducible implementations and verify correctness through systematic testing. Strong quantitative reasoning and problem-solving skills, particularly when diagnosing numerical or computational issues. Ability to work independently, manage technical tasks, and meet defined quality and submission requirements. Strong written communication skills and the ability to explain technical findings. Availability to contribute approximately 15 hours per week and begin the first task within 24–48 hours after onboarding.