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Location: New York City DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. About the Team We are a fast-moving and progressively-thinking team that intimately collaborates with traders and quantitative researchers to implement, refine and deploy alpha signals, evaluate and maintain trading tools, improve our research pipeline, while ensuring that our code bases remain nimble, maintainable and extensible. We embed deeply with our customers to solve high-impact, complex problems. We move quickly when we prototype, and we tread lightly when we ship to production. We operate at the intersection of ensuring customer success and creating quality products that stand the test of time. About the Role As a Research Engineer , you will be an integral member of a systematic trading team comprised of experienced technologists, quantitative researchers, and traders. You will: Work directly with researchers to implement research studies, simulate trading strategies, and develop algorithms to compete in financial markets. Embed with trading desks, work intimately with traders and portfolio managers, learn about their problem spaces, extract domain models, and build ergonomic, performant and extendable engineering solutions Collaborate with other engineering teams to accelerate the research lifecycle from strategy prototype to production deployment Evaluate new technology and improve our technology stack on a continuous basis What you bring to the team: Bachelor’s degree in Computer Science, Computer Engineering, or related field A minimum of 2+ years’ experience using Python in a production setting A strong understanding of quantitative finance and mathematics Experience with linux-based, large-scale, concurrent, high-throughput, low-latency software systems A track record of working directly with end customers, scoping and delivering production systems in fast-moving and ambiguous environments Exceptional interpersonal skills - you communicate clearly with stakeholders as well as other engineers, fostering a collaborative, supportive working environment. Experience with low-level systems programming languages (C/C++, Rust, Zig) is a plus Experience with functional programming is a plus The annual base salary range for this position is $175,000 to $225,000, depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus.  In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts. For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . #LI-BL1

Location: San Francisco, CA | New York City, NY | Seattle, WA 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 As a TPU Performance Engineer, you'll be responsible for identifying and addressing performance issues across many different ML systems, including research, training, and inference. A significant portion of this work will involve designing and optimizing kernels for the TPU. You will also provide feedback to researchers about how model changes impact performance. Strong candidates will have a track record of solving large-scale systems problems and low-level optimization. You may be a good fit if you: Have significant experience optimizing ML systems for TPUs, GPUs, or other accelerators Are results-oriented, with a bias towards flexibility and impact Pick up slack, even if it goes outside your job description Enjoy pair programming (we love to pair!) Want to learn more about machine learning research Care about the societal impacts of your work Strong candidates may also have experience with: High performance, large-scale ML systems Designing and implementing kernels for TPUs or other ML accelerators Understanding accelerators at a deep level, e.g. a background in computer architecture ML framework internals Language modeling with transformers Representative projects: Implement low-latency, high-throughput sampling for large language models Adapt existing models for low-precision inference Build quantitative models of system performance Design and implement custom collective communication algorithms Debug kernel performance at the assembly level 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: $280,000 — $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: Abu Dhabi, United Arab Emirates; Luxembourg; Berlin, Germany; Bratislava, Slovakia; Bucuresti, Romania; Budapest, Hungary; Dresden, Germany; Dubai, United Arab Emirates; Düsseldorf, Germany; Erevan, Armenia; London, United Kingdom; Frankfurt, Germany; Hamburg, Germany; Hannover, Germany; Krakow, Poland; Kyiv, Ukraine; Leverkusen, Germany; Leipzig, Germany; Manchester, United Kingdom; Poland; Praha, Czechia; Skopje, North Macedonia; Sofia, Bulgaria; Stuttgart, Germany; Tallinn, Estonia; Tashkent, Uzbekistan; Tbilisi, Georgia; Warsaw, Poland Workplace: remote TechBiz Global is a leading recruitment and software development company. Our diverse, globally distributed team provides IT recruitment, outstaffing, outsourcing, software development, and different consulting services with a primary focus on making our partners achieve their business goals successfully. With headquarters in Germany we have successful clients all over the world. We can understand your unique needs. Our team has hands-on experience with the challenges that come with rapid growth and the IT sector. That’s why all of our offerings are built with a tech mindset. We are looking for a Head of HFT for our client in a remote set up role. Requirements 1. 3+ years of hands-on experience in high-frequency or algorithmic trading. 2. Proven track record of working with top-tier trading firms , proprietary trading desks, or hedge funds. 3. Experience leading or contributing to successful HFT strategies and systems. 4. Deep understanding of low-latency systems , high-throughput data processing, and network optimization. 5. Fluent in English (written and spoken). What You’ll Do Lead the design, development, and optimization of high-frequency trading strategies. Build and manage a high-performing HFT team, including quants and engineers. Collaborate with leadership to align trading strategy with overall business goals. Analyze and act on large data sets in real-time to identify profitable opportunities. Maintain and continuously improve latency-sensitive infrastructure. Ensure robust risk management protocols and compliance with relevant regulations. Drive innovation and research in algorithmic trading within the Web3 and crypto space.

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 The Middle Exchange Platform team develops the core modules of the exchange, including the matching engine, real-time market data streaming, and market data analysis. It is the backbone of our industry-leading trading product, used by millions of users. We are seeking highly motivated Java/C++ Engineers to join our cutting-edge team. In this role, you will design, develop, and optimize our systems, which are critical components of our technology stack. We leverage AI technologies to enhance efficiency and performance, offering a unique opportunity for individuals who are eager to learn and grow in a fast-paced, innovative environment. Candidates with prior experience in large internet companies will excel in this role, as they will bring valuable insights into building and maintaining high-performance, distributed systems. If you are passionate about solving complex problems, improving system performance, and exploring new technologies, this is the role for you! What You’ll Be Doing System Design and Development : Build and maintain high-performance systems with a focus on reliability, scalability, and low latency. Troubleshooting and Debugging : Diagnose and resolve complex system issues, including debugging at the assembly language level when necessary. Use advanced troubleshooting tools and methodologies to ensure system stability and performance. Collaborative Innovation : Work closely with cross-functional teams to design and implement new features and improve existing systems. Actively contribute to brainstorming and exploring new technologies, including AI-driven innovations. Maintain High Standards : Write clean, efficient, and maintainable code. Conduct comprehensive code reviews, performance testing, and quality assurance to ensure robust and reliable systems. AI-Driven Optimization : Leverage AI tools and techniques to analyze, optimize, and improve system performance and operational efficiency. Experiment with and implement AI-driven solutions to enhance troubleshooting and automation. What We Look For In You Strong Programming Skills : Expertise in Java or C++, with a solid understanding of object-oriented programming, concurrency, and system-level programming. Experience in High-Performance Systems : Proven ability to develop and optimize low-latency, high-throughput systems. Expertise in performance tuning, memory management, and concurrency optimization. Exceptional Troubleshooting Skills : Proficient in diagnosing and resolving complex system issues using tools such as profilers, debuggers, and log analyzers. Ability to perform low-level debugging, including assembly language debugging when needed. Solid Fundamentals : Solid STEM (Science/Technology/Engineering/Mathematics) education background. Strong knowledge of data structures, algorithms, system design, and network protocols. Nice to Haves Experience in large internet companies, with a background in developing and maintaining high-availability, high-performance systems, and hands-on experience in supporting large-scale peak traffic scenarios. Familiarity with low-latency systems, real-time applications, or high-frequency trading platforms. Knowledge of message-oriented middleware, or asynchronous programming paradigms. Familiarity with DevOps practices and tools, such as CI/CD pipelines, containerization (Docker/Kubernetes), or cloud platforms. Proficiency in speaking, reading and writing in both English and Mandarin to collaborate effectively with global and cross-functional team members. Experience with AI technologies to improve efficiency. 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-ML1 #LI-ONSITE 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: Lagos, Nigeria; Russia We are looking for a Data Science Manager with a strong background in managing data-driven solutions to lead a high-performing DS team within the banking sector. This role combines ML expertise, team leadership, and cross-functional communication, with a focus on scorecard development, model performance, and portfolio risk monitoring. Responsibilities Advanced ML-modeling and data-exploration: ensembles and AI-algorithms, AI-initiatives management, external AI-services integration. Focus on models and solutions for: credit, fraud, marketing, collection and contact strategies, text, speech and behavioral analytics, dynamic pricing and limits. Stakeholders' expectations management: communication with risk (portfolio) team, collection team, other business units on score-modelling and backlog prioritization, task clarification. DS-team management: recruitment, training, performance improvement, scrum-servicing, task-management. Improvement DS-team communication with consumers and business needs understanding. Environment, process and tools management: git, Jira board, Confluence content, Agile rituals. ML-data management: colabration with DWH-team; data-availability, reliability and quality assessment; new/existent data-sources integrations support and management, data-flow stability control, feature-store administation. ML-model lifecycle management: from business needs identification to "sell", deployment and production-test stage. ML-models stability monitoring and quality control, reassessment and proactive quality improvement (re-calibration/ re-building). Knowledge management: Maintain up-to-date project documentation, implement standards, control discipline and maintain actuality for confluence descriptions, feature-store meta-data, git documentation, internal experience sharing and handover, new methodologies and tools review and implementation. Requirements Demonstrated experience working in fintech or banking, especially within emerging markets. Hands-on experience developing ML scoring models for text, speech, behavioral analytics, and dynamic modeling in card businesses. Strong programming skills in Python and SQL for data analysis, modeling, and automation. Proven experience with machine learning techniques, including: Regression, classification, ranking, boosting Graph-based models, neural networks, NLP, and large language models (LLMs) Solid understanding and practical implementation of AI concepts and systems. Familiarity with MLOps, including data pipelines, model deployment, and productionizing machine learning solutions. Experience with cloud computing platforms, especially AWS (highly preferred). Proficiency with BI and data visualization tools such as PowerBI, Excel, Tableau, or Grafana. Prior exposure to risk management or analytics, particularly within the cards or payments space. Strong grasp of Agile and Scrum methodologies in a data or engineering environment. Excellent communication and presentation skills, with the ability to simplify complex data concepts for both technical and non-technical audiences. Fluent in spoken English.

Location: Belgrade; London; Berlin Perplexity is looking for a highly skilled Senior or Expert Systems Engineer to join our Search Core team. This role is critical to building next-generation search products and technologies. You will help drive key decisions around the architecture, design, and implementation of foundational components in our technical stack. Responsibilities - Design and build core search engine components, including indexing pipelines, retrieval algorithms, and ranking systems that operate at the scale of billions of pages - Develop streaming and batch data processing systems for search index construction in a high-load environment - Push the limits of hardware performance through low-level optimizations and systems-level tuning - Tackle challenges in multithreading, concurrency, and system-level optimization Qualifications - 3+ years of hands-on experience in systems programming (Rust, C++, C, or similar) - Ownership of full project lifecycle — you don't just write a fast inner loop, you care about how the system is built, deployed, operated, and scaled in production - Knowledge of Python or other scripting languages - Passion for writing clean, efficient, and scalable systems-level code - Strong knowledge of algorithms and data structures, and the ability to apply them effectively - Deep understanding of multithreading, including various approaches, challenges, and trade-offs - Experience building high-load, distributed, and hardware-adjacent services - Solid understanding of Linux internals (syscalls, networking stack, memory model, kernel tuning) - Familiarity with low-level optimization techniques (memory management, cache efficiency, SIMD, profiling) Preferred Qualifications - Experience developing core components of search engines, databases, or information retrieval systems - Understanding of search fundamentals: indexing, query parsing, ranking, and relevance - Experience with trading systems or other latency-sensitive real-time systems - Familiarity with cloud services, Kubernetes, and AWS infrastructure

Location: Belgrade; London; Berlin Perplexity is looking for a highly skilled Senior or Expert Systems Engineer to join our Search Core team. This role is critical to building next-generation search products and technologies. You will help drive key decisions around the architecture, design, and implementation of foundational components in our technical stack. Responsibilities - Design and build core search engine components, including indexing pipelines, retrieval algorithms, and ranking systems that operate at the scale of billions of pages - Develop streaming and batch data processing systems for search index construction in a high-load environment - Push the limits of hardware performance through low-level optimizations and systems-level tuning - Tackle challenges in multithreading, concurrency, and system-level optimization Qualifications - 3+ years of hands-on experience in systems programming (Rust, C++, C, or similar) - Ownership of full project lifecycle — you don't just write a fast inner loop, you care about how the system is built, deployed, operated, and scaled in production - Knowledge of Python or other scripting languages - Passion for writing clean, efficient, and scalable systems-level code - Strong knowledge of algorithms and data structures, and the ability to apply them effectively - Deep understanding of multithreading, including various approaches, challenges, and trade-offs - Experience building high-load, distributed, and hardware-adjacent services - Solid understanding of Linux internals (syscalls, networking stack, memory model, kernel tuning) - Familiarity with low-level optimization techniques (memory management, cache efficiency, SIMD, profiling) Preferred Qualifications - Experience developing core components of search engines, databases, or information retrieval systems - Understanding of search fundamentals: indexing, query parsing, ranking, and relevance - Experience with trading systems or other latency-sensitive real-time systems - Familiarity with cloud services, Kubernetes, and AWS infrastructure

Location: ES - Barcelona, Spain Scopely is seeking a highly motivated Senior/Software Engineer to join our Playgami team in Barcelona on a hybrid basis! At Scopely, we care deeply about what we do and want to encourage play every day - whether in our work environments alongside our talented colleagues or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing, and innovating the mobile games industry, connecting millions of people worldwide daily. Playgami is building the best SaaS gaming platform ever! The team strives to build the world’s best products for game production, operation, and insights. Powering many award-winning, loved-by-millions franchise games over mobile, web, and PC. What You’ll Do Design, architect, and help implement features to run world-class games at scale Take ownership for the quality of what the team creates, helping to establish good practices Deliver code and supporting documentation of the highest quality through good design, attention to detail, and system testing on a timely basis Ensure our systems perform, and are reliable, scalable, and secure Work in an agile environment where your opinions matter Team up with skilled colleagues who are committed to delivering the best products possible Share knowledge and help colleagues both inside and outside of your team What We’re Looking For Team player with good communication skills, someone who is easy to work with Strong computer science and engineering fundamentals (data structures, concurrency, design patterns, algorithms) High-quality and maintainable code writing Mastery of Java, C#, or another OO language, including experience with asynchronous, multi-threaded, parallel programming paradigms Always looking further to keep improving your skills Product Engineering Mindset You are not senior? Go for it and apply, we are seeking talented and driven engineers at all levels, from junior on up! Bonus Points Hands-on experience with cloud computing (AWS, GCP...) You do not fear acronyms like TDD, CI, CD Experience with low-latency, high-volume distributed systems and Big Data computing technologies Web development on a modern framework such as React or Angular At Scopely, we create games for everyone - and want to ensure that the people behind our games reflect that!   We are committed to creating a diverse, supportive work environment where everyone is treated with respect. We are committed to providing equal employment opportunities and welcome individuals from all backgrounds to join us & embrace the adventure! About Scopely Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play. Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Scopely Explore games businesses — Scopely consistently delivers experiences players love today and return to for years to come. Recognized multiple times as one of the "100 Most Influential Companies in the World" by TIME magazine and one of Fast Company's "World's Most Innovative Companies" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play. Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit: https://www.scopely.com/ . Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official website and verify that all Talent Partner communications come from an email address ending in @ scopely.com . Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact recruiting@scopely.com. Our job applicant privacy policies are available here: California Privacy Notice and EEA/UK Privacy Notice . Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.

Location: US / Remote Workplace: remote About the Company Founded in 2018 by professors of Yale University and Columbia University, CertiK is a pioneer in blockchain security, utilizing best-in-class AI technology to secure and monitor blockchain protocols and smart contracts. CertiK’s mission is to secure the cyber world. Starting with blockchain, CertiK applies cutting-edge innovations from academia into enterprise, enabling mission-critical applications to be built with security and correctness. CertiK is one of the fastest growing and most trusted companies in blockchain security and has become a true market leader. Our clients include leading projects such as Aave, Polygon, Binance Smart Chain, Yearn, and Chiliz. Our investors include top VCs like Tiger Global, Coatue Management, Shunwei Capital and Hillhouse Capital as well as industry leaders like Coinbase Ventures and Binance. About the Position The primary responsibility of this role is contributing to CertiK’s security-related services at the intersection of cybersecurity and blockchain. CertiK’s offerings include security consulting, security reviews, and security auditing of smart contracts and blockchains, alongside penetration testing and various verification processes. As a Security Engineer at CertiK,
, You’ll discover and analyze security vulnerabilities in blockchain smart contracts, summarize attacked vulnerabilities, and design feature code analysis tools. You’ll also stay up-to-date with analysis tools and new technology trends to further strengthen CertiK’s security offerings and expand our services. Responsibilities Participate in blockchain smart contract audits, identifying, analyzing, and addressing security vulnerabilities. Help evaluate and define attack models for blockchain security. Summarize and extract key characteristics from exploited code to build and maintain tools for feature code analysis. Research and work with different analysis tools, continually learning and adapting to emerging technologies in the space. Requirements A bachelor’s degree (or higher) in full-time education, preferably in a science or engineering field, plus 3+ years of work experience. Familiarity with fundamental information security concepts. Proficiency in at least one of the following languages: Solidity, Go, Rust, C++, Python, or Node.js, along with a solid grasp of common algorithms. A demonstrated ability to function in an English working environment with strong English reading and writing skills. A passion for blockchain technology and a drive to learn and adapt to new technologies. Bonus Points Experience working with production pipelines—maintaining or developing them. Familiarity with static code analysis (e.g., Syntax Analysis, Semantic Analysis, Taint analysis). Exposure to popular blockchain-related platforms and technologies (e.g., Ethereum, Hyperledger, Cosmos). Prior knowledge of blockchain smart contracts, security audits, and associated best practices. Hands-on blockchain experience such as evaluating risks for blockchain projects or analyzing on-chain security events. Target annual salary for this role performed is $90,000 - $150,000 if based in the US. The exact compensation at which this job is filled will be determined by the skills and experience of qualified candidates. CertiK accepts applications for this position on an ongoing basis.   CertiK is proud to offer medical, vision, and dental insurance, 401(k) plan with company matching, life and accidental death and dismemberment insurance, HSA (with high deductible plan), FSA, and other benefits to all full-time employees, along with flexible paid time off and holidays. CertiK also offers a variable commission program for business development sales roles.   In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.   CertiK is proud to be an equal opportunity employer. We will not discriminate against any applicant or employee on the basis of age, race, color, creed, religion, sex, sexual orientation, gender, gender identity or expression, medical condition, national origin, ancestry, citizenship, marital status or civil partnership/union status, physical or mental disability, pregnancy, childbirth, genetic information, military and veteran status, or any other basis prohibited by applicable federal, state or local law.   CertiK will consider for employment qualified applicants with criminal histories in a manner consistent with local and federal requirements. https://www.eeoc.gov/sites/default/files/migrated_files/employers/poster_screen_reader_optimized.pdf   All CertiK employees are expected to actively support diversity on their teams, and in the Company.

Location: European Union; Ukraine Workplace: Remote About the Role We’re looking for a Senior Game Developer to bring fresh ideas, strong technical expertise, and a passion for building high-quality games. This role is ideal for someone who enjoys working close to the engine, developing new features, and continuously improving performance and scalability. You’ll be part of a team that values ownership, creativity, and speed, where your work directly shapes the player experience. If you’re driven by building engaging products, enjoy solving technical challenges, and want to push the boundaries of what great game development looks like, we’d love to hear from you. Key Responsibilities - Develop and optimise game features with a strong focus on performance (FPS, CPU usage) - Work closely with the game engine, contributing to its evolution and improvements - Propose and implement efficient algorithms and technical solutions - Design and write unit tests to ensure code quality and stability - Build tools and scripts to improve development efficiency - Collaborate with a team of developers, contributing to a culture of openness and agility - Actively participate in the Engineering Community, sharing knowledge and ideas Requirements - 4+ years of experience in JavaScript UI client development in a commercial environment - Strong expertise in TypeScript and modern JavaScript (ES6+) - Solid understanding of Canvas/WebGL rendering cycles - Deep understanding of the Event Loop and synchronous vs asynchronous approaches - Experience in cross-browser development - Strong knowledge of OOP principles and game programming patterns - Experience with Git - Strong communication skills and a collaborative mindset - Product-first approach with a proactive attitude - Self-sufficient, results-driven, and eager to learn Nice to Have - Understanding of performance optimisation, memory management, and threading - Experience in game development - Familiarity with Spine animations and TexturePacker - Experience with GitHub Actions and CI/CD processes - Experience with unit testing frameworks - Familiarity with Jira and Confluence - Basic knowledge of Vue - Experience in full-stack development - Understanding of Scrum workflows What We Offer - Competitive Salary - Quarterly Bonuses - Unlimited Paid Time Off - Unlimited Paid Sick Leave - Remote & Flexible Working - Private Medical Insurance - Financial Support for Life Events - Professional Development Budget - International Exposure - Regular Company Events *Benefits may vary depending on location and contractual agreement Recruitment Process 1. HR Interview (30-45 min) 2. Technical interview with live coding (up to 90 min) 3. Final Interview with C-level (60 min) By submitting your application, you acknowledge that your personal data will be processed in accordance with our Privacy Policy https://playson.com/privacy.

Location: Malmö About Neo4j: Neo4j is the graph intelligence platform that transforms data into knowledge to power the next generation of intelligent applications and AI systems. It includes enterprise-ready knowledge graphs for accurate, explainable, and governed AI; the most comprehensive, trusted, and easy-to-deploy graph capabilities across any environment and data source; and an unmatched ecosystem trusted by 84 of the Fortune 100 and supported by the world’s largest graph community. Intelligence that works. Results that matter. Built to work everywhere and integrate with everything across every cloud for dynamic, personalized, and autonomous AI systems. We deliver quicker results, contextual knowledge, and solutions that impact customers and employees across the business. Our Vision: At Neo4j, we have always strived to help the world make sense of data. As business, society and knowledge become increasingly connected, our technology promotes innovation by helping organizations to find and understand data relationships. We created, drive and lead the graph database category, and we’re disrupting how organizations leverage their data to innovate and stay competitive. The Role: Are you at the end of your studies and want to immerse yourself in graph technology? We are now looking for students who want to do their Master’s Thesis alongside us at Neo4j! As part of Neo4j engineering in Malmö, you will work with a diverse team of talented colleagues worldwide. You will receive advice and continuous support from us - we are experts in graph technology and positioned to help you perform to the best of your ability. Past Thesis Topics: Multi-Stage Dashboard Generation over Graph Databases with LLMs This thesis investigates natural language–driven dashboard generation over graph databases, with a focus on maintaining alignment between user intent and generated outputs. While prior work in natural language to visualization has improved single-chart generation, producing coherent multi-view dashboards remains challenging, particularly for graph-structured data where relationships and query constraints are central. To address this, the work frames dashboard generation as a multi-stage workflow rather than a single-step task. A pipeline is designed that separates intent interpretation, schema grounding, planning, query generation, and validation, with selective human-in-the-loop clarification. The proposed approach is implemented for a Neo4j database and evaluated against a baseline generation method through a comparative dashboard study and an interactive workflow study. Results suggest that the proposed workflow improves perceived dashboard quality and user experience, particularly in coherence, usability, and intent alignment. The findings indicate that structuring generation as an inspectable and iterative process is a promising direction for dashboard generation. Force Directed Drawing Algorithms and Parameter Optimisation: Through my thesis I have implemented and compared some different graph drawing algorithms in addition to some methods to speed up the slow parts of these algorithms. These algorithms were then used to test what to the best of my knowledge is a novel approach to select parameter values for graph drawing algorithms. For this, I use methods similar to those used in Machine Learning to select parameter values and measure the utility of any set of parameters by creating my own utility function. I created this function by looking at objective measures of drawing quality that are commonly known, such as the number of edge crossings, along with the time it took to draw a given graph. The resulting method for parameter optimisation could find significant increases in the speed of graph drawing for several of my implemented drawing algorithms without compromising drawing quality. Furthermore, the approach is not specific to any parameter set, and can with some modification be applied to any graph drawing algorithm dependent on some constants. Modeling Profiling Data in a Graph Database for Performance Analysis: Benchmarking is an important part of the development process for any mission-critical application. By inspecting profiling data, developers can identify bottlenecks and performance regressions before they reach the customers. Neo4j runs an extensive benchmarking suite on its database, resulting in a huge collection of profiling data collected each week. These profiles are commonly visualized individually as flame graphs which are inspected manually. Finding patterns and differences among multiple profiles is difficult to do manually, due to the size and complexity of the data. We propose a framework for identifying bottlenecks and regressions by modeling the profiling data as call-stack trees in a graph database. We demonstrate the usefulness of the framework for cross-profile analysis such as time series analysis and aggregation-based methods. We conclude that there is much potential in this approach and our thesis can be used as a decision basis for organizations wanting to implement a similar framework. Using a graph database to model profiling data has many advantages and is suitable for the tree-like structure of the data. It makes the data more accessible and facilitates flexible querying in which the user can ask questions about the data and perform non-trivial aggregation. It has already aided Neo4j in the process of pinpointing the cause of some performance issues. The main disadvantage is the complexity involved in importing large quantities of data. Navigating Failures in Distributed Systems: A Comparative Study of Failure Detection Algorithms: Failure detection algorithms are used to identify unhealthy nodes in distributed systems. The goal of this study was to improve Neo4j’s use of failure detection algorithms by exploring two paths: either optimising their existing Lighthouse algorithm or by implementing a new algorithm. Existing algorithms were surveyed and the SWIM algorithm was implemented. A baseline was established and evaluated against parameter-optimized versions of SWIM and Lighthouse in a simulated network. The results show that Baseline is scalable and reliable but slow, Lighthouse is fast but less accurate, and SWIM is moderately fast and the least accurate but generates the least network load. In conclusion, the chosen parameters of a failure detector are to a great extent more important than the algorithm itself. Furthermore, to successfully optimise parameters it is crucial to have a scalable simulator and precise system requirements to manage the trade-off between speed, accuracy, and network load. Cache replacement policies and their impact on graph database operations: In this master thesis project, the page caching strategy of the Neo4j database is researched and attempted to be improved. Focusing on the eviction protocol of the page cache, several different algorithms are evaluated in both experimental prototyping using Python, and in the Neo4j database kernel. Using the measurements of the prototypes and the results of the Neo4j benchmarks conclude that the current page replacement policy is hard to beat with a different strategy. However, modifying the current page replacement policy by using a global instead of thread-local data structure and tuning parameters increased the hit rate and throughput. Furthermore, the measurements on the different implementations showed that the hit rate can be increased at the cost of some overhead, but implementing a complicated algorithm quickly increases the overhead and might decrease the throughput enough to make the algorithm ineffective. Randomly generating execution plans for bug detection in Neo4j: In recent years, Graph Database Management Systems(GDBMS) has increased in popularity for many use cases. One of the most popular GDBMS is Neo4j, which uses Cypher as a query language. With the increasing use of GDBMS in many business-critical applications, the need to test Neo4j and its competitors has become critical. One common practice for identifying bugs in a database system is using randomly generated tests, known as fuzz testing. Previously, this has been done by randomly generating queries, and several tools are currently available for this purpose. When executing a Cypher query, the query goes through several processing steps to ensure a correct result returns quickly. One of the intermediate structures used in the query processing is the execution plan, which details how the runtime should solve the query. In this thesis, we propose a novel approach to fuzz testing GDBMS by randomly generating execution plans. Our tool utilizes differential testing between different Neo4j runtimes, which allows for identifying incorrect results returned from one or more of the runtimes. These types of bugs are known as logic bugs. We can also identify situations when the Neo4j runtimes throw unexpected exceptions. The testing suite identified 20 bugs within the Neo4j, of which 11 were logic bugs. This approach to fuzz testing has proven helpful in identifying errors within the Neo4j runtimes, which previously received insufficient coverage by fuzz testing using queries. Other database management systems that utilize execution plans can benefit from the approach proposed by this thesis. The main drawbacks of this new approach are that it is not easily portable between different GDBMS and requires access to the query processing source code. We tackle challenges in: Concurrency and parallelism Distributed systems and fault tolerance Language design and type systems Performance tuning and benchmarking Cloud architecture and service design Site Reliability Engineering and cloud automation Continuous Integration and Continuous Delivery Graph algorithms and machine learning Does this topic sound interesting? Please apply! If you are applying as a group, please apply separately and indicate who you are applying together with in your Cover Letter. Project start Jan/Feb 2027 Why Join Neo4j? Neo4j is, without question, the most popular graph intelligence platform in the world. We have customers in every industry globally, and our products are a proven product/market fit. Joining our team is an opportunity to shape the future of data and analytics. Below are just a few exciting facts about Neo4j. Neo4j is one of the fastest-scaling technology companies in this industry. It recently surpassed $200M in annual recurring revenue (ARR), doubling its ARR over the past three years. Raised the biggest funding round in database history ($325M Series F). Backed by world-class investors like Eurazeo, GV (formerly Google Ventures), and Inovia Capital, Neo4j has raised over $600M in funding and is currently valued at over $2Bn. This puts Neo4j among the most well-funded database companies in history. 84% of the Fortune 100 and 58% of the Fortune 500 use Neo4j. Examples include Boston Scientific , BT Group , Caterpillar , Cisco , Comcast , Department for Education UK , eBay , NBC News , Novo Nordisk , Worldline , and others . Co-founder and CEO Emil Eifrem has built an amazing culture that prides itself on relationships, inclusiveness, innovation, and customer success. Countless industry awards . Massive enterprises and individual developers/data scientists love Neo4j. A strong sense of community and ecosystem is built around the platform. A recent Forrester Total Economic Impact™ Study cited Neo4j as delivering 417% ROI to customers. Research shows that members of underrepresented communities are less likely to apply for jobs when they don’t meet all the qualifications. If this is part of the reason you hesitate to apply, we’d encourage you to reconsider and give us the opportunity to review your application. At Neo4j, we are committed to building awareness and helping to improve these issues. One of our central objectives is to provide an inclusive, diverse, and equitable workplace for everyone to develop their potential and have a positive, career-defining experience. We look forward to receiving your application. Neo4j Values: Neo4j is a Silicon Valley company with a Swedish soul. We foster collaboration and each of us is empowered to contribute and put our innovative stamp on projects. We hire candidates who reflect the following Neo4j core values: (we)-[:VALUE]->(relationships) (we)-[:FOCUS_ON]->(userSuccess) (we)-[:THRIVE_IN]->(:Culture {type: [‘Open’, ‘Inclusive’]}) (we)-[:ASSUME]->(:Intent {direction:’Positive’}) (we)-[:WELCOME]->(:Discussions {nature: ‘IntellectuallyHonest’}) (we)-[:DELIVER_ON]->(ourCommitments) Neo4j is committed to protecting and respecting your privacy. Please read the privacy notice regarding Neo4j's recruitment process to understand how we will handle the personal data that you provide. More information at www.neo4j.com . ©2026 Neo4j, Inc., Neo Technology®, Neo4j®, Cypher®, Neo4j Bloom™, Neo4j Graph Data Science Library™, Neo4j® Aura™, and Neo4j® AuraDB™ are registered trademarks or a trademark of Neo4j, Inc. All other marks are owned by their respective companies.

Location: Dublin, Ireland Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What's the opportunity? Fin's Machine Learning team is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers’ hands. We are an extremely product focussed team. We work in partnership with Product and Design functions of teams we support. Our team's dedicated ML product engineers enable us to move to production fast, often shipping to beta in weeks after a successful offline test. We are very passionate about applying machine learning technology, and have productized everything from classic supervised models, to cutting-edge unsupervised clustering algorithms, to novel applications of transformer neural networks. We test and measure the real customer impact of each model we deploy. What will I be doing? Play an active role in hiring, mentoring and career development of other engineers Raise the bar for technical standards, performance, reliability, and operational excellence Identify areas where ML can create value for our customers Identify the right ML framing of product problems - Working with teammates and Product and Design stakeholders Conduct exploratory data analysis and research - Deeply understand the problem area Research and identify the right algorithms and tools - Being pragmatic, but innovating right to the cutting-edge when needed Perform offline evaluation to gather evidence an algorithm will work Work with engineers to bring prototypes to production Plan, measure & socialize learnings to inform iteration Partner deeply with the rest of team, and others, to build excellent ML products What skills might I need? 5-8 years applied ML experience Previous background in a senior/staff role (data science, software development or academic) Significant, demonstrated impact that your work has had on the product and/or the teams Strong programming skills Experience as the primary technical leader for a team Strong communication skills, both within engineering teams and across disciplines. Comfort with ambiguity Typically have advanced education in ML or related field (e.g. MSc) Scientific thinking skills Bonus skills & attributes Track record shipping ML products PhD or other experience in a research environment Deep experience in an applicable ML area - E.g. NLP, Deep learning, Bayesian methods, Reinforcement learning, clustering Strong stats or math background Visualization, data skills, SQL, matplotlib, etc. Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers . Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Location: Ukraine; Poland; Armenia; Georgia; Moldova Intetics Inc., a leading global technology company providing custom software application development, distributed professional teams, software product quality assessment, and “all-things-digital” solutions, is looking for Senior .Net Engineer to enrich its team with a skilled professional to spread company’s ideas, vision, content and messages. Responsibilities: Develop and maintain a high-performance image processing system capable of processing up to terabytes of 3D images and raster images per day. Availability 24/7 Implement algorithms and techniques to efficiently process and analyze images, including image segmentation, feature extraction, and object recognition Develop tools and applications (back-end) to visualize and manipulate 3D images and point cloud data Optimize processing speed and memory usage for maximum efficiency Implement database management solutions to store and retrieve image data efficiently Implement integration with embedded devices via gRPC protocol. Collaborate with other team members, including microscope hardware engineers, to ensure seamless integration of the image processing system with the overall workflow. Requirements Technical Skills: Extensive experience in C# programming language (.NET/.NET Core) Strong understanding of performance optimization, image processing algorithms and techniques Experience with raster image processing and manipulation Familiarity with image file formats, including TIFF, JPEG, and PNG Knowledge of multithreading and parallel processing Experience with SQL and large storage database management (MS SQL or PostgreSQL) Libraries Experience: Familiarity with .NET libraries, such as ADO.NET, Entity Framework, or Dapper Familiarity with gRPC protocol. Nice to have: experience with image processing libraries, such as OpenCV, EmguCV, or ImageMagick. Nice to have: experience with healthcare image processing in general, or Zeiss CZI in particular.

Location: Amsterdam, Netherlands; London, United Kingdom About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role #LI-MM1 We’re looking for a Software Engineer with strong C++ expertise to join the team building and operating Nebius Data Platform — a distributed storage and a processing platform that acts as the company’s “source of truth” and the backbone of many internal (and some external) products. Nebius Data Platform is a single multi-tenant ecosystem based on YTsaurus — instead of running separate HDFS/Kafka/HBase-style systems, we provide storage, compute, and analytics capabilities inside one platform. Built on top of the open-source YTsaurus ecosystem, we run and extend our own Nebius distribution and develop significant in-house functionality (core and platform-level). We can design, implement, and roll out features end-to-end on our clusters without waiting for upstream approvals and contribute upstream when it makes sense. At scale today, this includes ~500 servers, ~20k CPU cores and ~10 PB of compressed data in our largest production cluster, supporting workloads ranging from business-critical pipelines and financial transactions to large-scale ML/LLM training datasets and compute. What’s inside the platform You’ll work on a system that includes (and ties together): Distributed Storage (Cypress) : transactional semantics, tiered storage, erasure coding, replication, and strong reliability expectations. Compute & ETL : a cluster-wide job scheduler (tens of thousands of cores), MapReduce, YQL for SQL-like data processing, and SPYT (Spark over YTsaurus) for modern data engineering. Interactive analytics (CHYT) : ClickHouse® instances spun up directly on compute nodes for fast SQL over data in-place. Dynamic Tables : low-latency NoSQL KV with distributed ACID transactions for OLTP-style workloads and feature stores. Orchestracto : workflow orchestration deeply integrated with the platform (Airflow-like, but platform-native). What you’ll do We’re looking for engineers who combine strong systems skills with product sense : understanding who uses the platform, why certain capabilities matter, and making pragmatic trade-offs to maximize impact. On our team, engineering work is expected to be connected to real users and outcomes — you’ll regularly align with internal stakeholders, clarify requirements, and help drive prioritization. In this role, you will: Design and implement new functionality in YTsaurus core (C++) with production reliability in mind. Build and evolve platform-level capabilities: platform architecture and operating model—multi-cluster growth, shared primitives, and a consistent experience that scales with new teams and use cases. Improve end-to-end platform experience for internal (and external-facing) users: APIs, guardrails, debugging workflows, and automation. Own production quality: incident response / on-call rotation , root cause analysis, and turning learnings into durable fixes. Example projects Roll out sharded YTsaurus masters (incl. Kubernetes operator support) and build automatic balancing of metadata across master cells (consensus groups) to remove control-plane bottlenecks and unlock 10–100x cluster growth . Make CHYT interactive SQL faster and more predictable at high load via performance work like data-skipping / min-max-style indexes and improved execution introspection. Turn Orchestracto into a platform product by defining the building blocks, developer experience, and governance for how teams create and share workflows. Scale and harden Parquet-on-S3 for native YTsaurus workloads by tackling replication/movement, consistent lifecycle semantics, and master-server metadata optimizations for performance and reliability. Design and ship complete, trustworthy audit trails for data changes (who/what/when) across heterogeneous storage and compute paths. Tech stack Core: modern C++ (C++20, async + multithreaded primitives) Services & tooling: Go and Python (microservices, utilities, integration tests) What we expect 5+ years of software engineering experience. Strong C++ skills (you’ll write core code). Working knowledge of Python and/or Go (you don’t have to be expert, but should be comfortable navigating them). Experience developing and/or operating high-load, distributed services . Production mindset: ability to use SSH, read logs/metrics/traces , and debug distributed systems behavior. Solid CS fundamentals: algorithms, data structures, concurrency basics. Nice to have Experience with Big Data systems (YTsaurus/Hadoop/Spark/ClickHouse/Kafka-like ecosystems). Experience with multi-tenant platforms, schedulers, resource isolation, quotas, and reliability engineering. Strong performance engineering skills (profiling, lock contention, latency/throughput tradeoffs). We conduct coding interviews as part of the process. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: In-Office About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: Austin, TX | New York, NY | San Francisco, CA | London, UK About the Role Cloudflare’s Emerging Technologies & Incubation team builds new products at the edge by combining Cloudflare’s network scale with rapid product incubation. This role is on the Workers Runtime team, which ships the runtime that executes customer code at the edge. You’ll improve performance, expand JavaScript and WebAssembly support, and help the runtime scale safely and efficiently. Responsibilities Build features and improvements for the Workers Runtime. Improve runtime performance, reliability, and scale. Expand JavaScript API and WebAssembly support. Help shape features based on what is technically possible. Own code in production and debug issues in a large-scale distributed system. Work in a fast-paced, iterative environment that balances product goals with technical execution. Desirable Skills, Knowledge & Experience 2+ years of recent professional experience with C++ or Rust. Strong computer science fundamentals, including data structures, algorithms, and software design. Operational mindset and experience owning production systems. Deep understanding of the web, including HTTP, JavaScript, and WebAssembly. Experience debugging and optimizing large-scale Linux-based distributed systems. Bonus Points Experience building high-performance distributed systems in Rust. Experience with cloud or serverless platforms. Familiarity with JS engine internals such as V8, SpiderMonkey, or JavaScriptCore. Experience with standalone WebAssembly runtimes such as Wasmtime, Wasmer, or Lucet. Deep Linux, UNIX, kernel, or networking knowledge. Contributions to large open source projects. Compensation Compensation may be adjusted depending on work location. For Bay Area based hires: Estimated annual salary of $194,000 - $266,000 For New York City, New Jersey, Washington, Washington DC, and California (excluding Bay Area) based hires: Estimated annual salary of $185,000 - $254,000 Equity This role is eligible to participate in Cloudflare’s equity plan. Benefits Cloudflare offers a complete package of benefits and programs to support you and your family.  Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!  The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S. Health & Welfare Benefits Medical/Rx Insurance Dental Insurance Vision Insurance Flexible Spending Accounts Commuter Spending Accounts Fertility & Family Forming Benefits On-demand mental health support and Employee Assistance Program Global Travel Medical Insurance Financial Benefits Short and Long Term Disability Insurance Life & Accident Insurance 401(k) Retirement Savings Plan Employee Stock Participation Plan Time Off Flexible paid time off covering vacation and sick leave Leave programs, including parental, pregnancy health, medical, and bereavement leave What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: Spain, Remote Workplace: remote At the start of 360Learning's growth, we were only 10 developers in the R&D department working on a single codebase. Today, we are a team of 60+ engineers divided into 10 product squads. Each squad includes developers, product managers and designers. Our technical teams are paramount to 360Learning’s response to our increasingly demanding customers and are strategic players for the growth of the company. We have the opportunity to:    Lead real and complex technical challenges: A complex codebase on which analysis and modeling capabilities are key. Significant traffic (2.3M registered users, 200K unique monthly visitors) with a considerable volume of data to manage. A strong focus on “clean architecture” for long-term growth.   Work on an attractive technical stack: We work on MongoDB, Node.js and Vue.js, three of the most popular JS technologies on the market. We are currently migrating to TypeScript.   Grow within a R&D team that allows rapid progress: Our decentralized peer review process provides us with qualitative and regular feedback from other team members. We promote pair programming and knowledge sharing. Within 1 month, you will: Discover the 360Learning platform Have a global view on our codebase Become familiar with team's processes Implement your first tickets Integrate our decentralized peer review process to adopt our best practices Within 3 months, you will: Join a squad : each squad has clear goals for innovation (e.g. driving users to create more courses), while also maintaining and improving product features and codebase that fall under its scope Work on the development of broader functionalities Level up your skills on our stack (Node, Vue, TypeScript, JS) Within 6 months, you will: Share your best practices within the team Create your own courses on the 360Learning platform Implement cross-functional tools, to allow the team to maintain its quality standards and increase its velocity Document, refactor, analyze features to maintain a high level of quality and transparency Within 12 months, you will: Onboard the new engineers in your team Be the owner of part of the codebase Work on complex functionalities that impact several teams and stakeholders Work on architectural changes impacting our entire codebase The Skill Set You have significant full stack programming experience including experience with Agile methodologies, SaaS software architecture, and modern programming languages You have an interest in JavaScript technologies (you don't have to be an expert!) You are used to creating quality interfaces : intuitive, efficient, elegant... You are comfortable with algorithms You have a product-oriented mindset and care deeply about the customers and the customer experience. Excellent organizational, communication, and collaboration skills Fluent English (US/UK) / B2 level or equivalent (FR) Enthusiasm for our working environment explained here: https://bit.ly/Convexity360L What We Offer Compensation: Package includes base salary and a variable component 📈 Benefits: Work From Home allowance, social security, health insurance, unemployment insurance, common contingency, salary guarantee fund. Leave requests are subject to local policies. Balance: Flexible hours, Total work from home possible anywhere in Spain 🏠 Diversity, Equity, and Inclusion : We have 6 active ERGs including Mental Health, Environmental/Sustainability, Women, Parents, LGBTQIA2S+, and Ethnic Diversity. Each group has at least one executive team member serving as a member of the group, bringing greater awareness to each group’s activities and providing a quick path to impact 🤝 Corporate Social Responsibility : Review our CSR Charter: 360learning.com/blog/corporate-social-responsibility-charter 🌎🌏🌍 Culture: A framework that will help you make an impact - envision our way of working and our Convexity Culture: https://bit.ly/Convexity360L & find out more about the teams, product and processes https://bit.ly/42H1ggC 🚀👩🏻‍💻🏆 Interview Process Phone Screen with our Talent Acquisition Manager Technical Test to do at home on HackerRank Discovery Meeting with a Software Engineer (including a Kata) Clarification Meeting with a Software Engineer Culture-fit interview with Fabrice , our Engineering Director Offer! Who We Are 360Learning enables companies to upskill from within by turning their experts into champions for employee, customer, and partner growth. With our LMS for collaborative learning, Learning & Development teams can accelerate upskilling with the help of internal experts instead of slow top-down training. 360Learning is the easiest way to onboard and upskill employees, train customer-facing teams, and enable customers and partners–all from one place. 360Learning powers the future of work at 1,700 organizations. Founded in 2013, 360Learning has raised $240 million with 400+ team members across North America and EMEA. Learning Includes Everyone. In concert with our culture, 360Learning believes learning includes everyone and that means embracing the strengths of diversity, connectedness, and inclusion. Through conscientious efforts, our global footprint celebrates cultures, perspectives, and experiences from all over the world to support our platform that is built for all regardless of race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. Thus, 360Learning is proud to be an equal opportunity workplace, and we commit to continue this throughout our processes for recruitment, compensation, benefits, performance, promotion, and all other conditions and terms of employment. We want to learn from and with you!

Location: Budapest WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers and portfolio managers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people. The Role : Our group is responsible for building software enabling both the large-scale quantitative research operations that drive WorldQuant’s platform and the production of our portfolio. The team is currently embarking on a multi-year journey to provide a powerful, scalable, and efficient platform to drive the firm’s next decade of growth. We are looking for someone who can own some of the unique technical challenges inherent in the problem and who can bring solid experience and perspective to the team. What You’ll Bring: A successful candidate will possess: A minimum of 7 years of writing production-quality code in C++ on Linux platform Strong understanding and experience with Linux system programming fundamentals Ability to develop large-scale, distributed systems Strong understanding of data structures, algorithms, high-performance application design, and concurrency patterns. Self-motivated and able to work independently with minimal direction Proficiency in English An outstanding candidate will also have experience with one or more of: Python development experience is also a plus Developing systems for managing and performing computation on large-scale graph data Streaming / dataflow systems Candidates need not have prior experience in financial services. What We Offer: Competitive compensation package Core benefits include: premium private health insurance and life insurance with savings plan Support for every aspect of life through Employee Assistance Program and fully covered sick leave Strong culture of learning and development: training courses, library, guest speakers, share and learn events, global conferences Regular offsite team buildings, annual conferences and occasional global summits – opportunity to travel and connect with our local and global teams #LI-MH1 By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright © 2025 WorldQuant, LLC. All Rights Reserved. WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

Location: Dublin, Ireland Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What's the opportunity? Fin's Machine Learning team is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers’ hands. We are an extremely product focussed team. We work in partnership with Product and Design functions of teams we support. Our team's dedicated ML product engineers enable us to move to production fast, often shipping to beta in weeks after a successful offline test. We are very passionate about applying machine learning technology, and have productized everything from classic supervised models, to cutting-edge unsupervised clustering algorithms, to novel applications of transformer neural networks. We test and measure the real customer impact of each model we deploy. What will I be doing? Identify areas where ML can create value for our customers Identify the right ML framing of product problems Working with teammates and Product and Design stakeholders Conduct exploratory data analysis and research Deeply understand the problem area Research and identify the right algorithms and tools Being pragmatic, but innovating right to the cutting-edge when needed Perform offline evaluation to gather evidence an algorithm will work Work with engineers to bring prototypes to production Plan, measure & socialize learnings to inform iteration Partner deeply with the rest of team, and others, to build excellent ML products What skills might I need? Broad applied machine learning knowledge 3-5 years applied ML experience Practical stats knowledge (experiment design, dealing with confounding etc) Intermediate programming skills Strong communication skills, both within engineering teams and across disciplines. Comfort with ambiguity Typically have advanced education in ML or related field (e.g. MSc) Scientific thinking skills Bonus skills & attributes Track record shipping ML products PhD or other experience in a research environment Deep experience in an applicable ML area. E.g. NLP, Deep learning, Bayesian methods, Reinforcement learning, clustering Strong stats or math background Visualization, data skills, SQL, matplotlib, etc. Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers . Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.