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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: Multi-Agent systems are becoming an increasingly important part of how AI is deployed, whether via fast small-model subagents inside a product, or large groups of agents solving very large problems . Training Claude to be maximally effective and safe within large groups is a challenging new area of reinforcement learning, and represents a new axis for scaling test time compute. We are looking for researchers who have experience training multi-agent systems at the largest scale and an appreciation for the incentives and mechanism design that come into play. Responsibilities: Help create and optimize environments and data for model training that maximize Claude’s performance or ease of use on agentic tasks Ideate, develop, and compare the performance of different agent harness configurations (eg memory, context management, communication architectures for agents) Design and implement rigorous quantitative benchmarks for large scale agentic tasks Work with our product org to find solutions to our most vexing challenges in applying agents to our products You may be a good fit if you: Have experience with large-scale RL on language models Have experience training multi-agent systems Enjoy going deeply into the roots of a problem and understanding its foundations, rather than its surface. Have good communication skills and an interest in working with other researchers on difficult tasks Have a passion for making powerful technology safe and societally beneficial Are excited for a mission-driven org with fast-paced, impactful work Representative projects: Design and build reinforcement learning environments to train groups of Claudes how to solve problems together efficiently Design and build agent affordances that unlock new capabilities and scales of agents, while keeping the Bitter Lesson in mind Design and build a novel eval that measures how large teams of agents interact in groups to solve problems 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: $500,000 — $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. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | 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: Running machine learning (ML) algorithms at our scale often requires solving novel systems problems. As a Performance Engineer, you'll be responsible for identifying these problems, and then developing systems that optimize the throughput and robustness of our largest distributed systems. Strong candidates here will have a track record of solving large-scale systems problems and will be excited to grow to become an expert in ML also. You may be a good fit if you: Have significant software engineering or machine learning experience, particularly at supercomputing scale 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 GPU/Accelerator programming ML framework internals OS internals Language modeling with transformers Representative projects: Implement low-latency high-throughput sampling for large language models Implement GPU kernels to adapt our models to low-precision inference Write a custom load-balancing algorithm to optimize serving efficiency Build quantitative models of system performance Design and implement a fault-tolerant distributed system running with a complex network topology Debug kernel-level network latency spikes in a containerized environment Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $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. 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: Home based - Worldwide The Threat Intelligence Lead will own Canonical’s threat intelligence strategy and execution, including understanding of which cyber threat actors are targeting Canonical, and the use of intelligence on Tactics, Techniques and Procedures (TTP) to better our products and internal cybersecurity controls. You will collaborate with internal stakeholders as well as with the wider cybersecurity community, making sure that Canonical is recognised as a thought leader on open source threat intelligence. This role will report to the CISO. You will lead intelligence gathering and development activities on threat actors targeting software supply chains. You'll study attack trends across the wider open source software landscape, report findings to internal security teams, and advise the wider engineering community on the best course of action to detect and mitigate possible threats. As the publisher of Ubuntu, Canonical products are directly or indirectly present in almost every organisation and household in the world, making them a prime target for threat actors. This team's mission is to help Canonical, and by extension countless community members and companies around the world, secure their software infrastructure. What you’ll do in this role Build and own Canonical’s threat intelligence strategy Build and maintain OSINT research environments Develop OSINT tradecraft, principals, and techniques Identify and track targeted intrusion cyber threats, trends, and new developments by cyber threat actors through analysis of proprietary and open source datasets Collaborate across teams to inform on activity of interest Coordinate adversary/campaign tracking Contribute to the wider threat intelligence community, establishing Canonical as a key contributor and thought leader in the space Work with product and engineering teams to explain cybersecurity threats and advise on mitigation strategies Work with the OPSEC and IS team to help implement/update security controls prioritising cyber defence Identify intelligence gaps and propose new tools and research projects to fill them Conduct briefings for executives, internal stakeholders and external customers The successful Threat Intelligence Lead will be An experienced threat intelligence leader (or similar) Knowledgeable about the current open source threat landscape and computer networking/infrastructure concepts Highly competent with OSINT tools (e.g., Buscador, Trace Labs OSINT VM, OSINT Framework, Maltego, Shodan, social media scraping tools, etc.) Able to identify, organise, catalogue, and track adversary tradecraft trends — often with incomplete data Experienced using threat intelligence data to influence enterprise architecture or product development decisions An excellent communicator with the ability to clearly articulate and tailor technical content to a variety of audiences Able to travel twice a year, for company events up to two weeks long Desired Characteristics A professional portfolio of OSINT related scripts, tools, or frameworks Demonstrated involvement in the larger OSINT community (please share relevant links) Degree qualified, with a bachelor's degree in computer science, information security, or a related field Certifications in related areas (e.g. GOSI, SANS SEC487 & SEC587, IntelTechniques OSIP, etc) Experience in a tech company or government/military signal intelligence departments What we offer you We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally. Distributed work environment with twice-yearly team sprints in person Personal learning and development budget of USD 2,000 per year Annual compensation review Recognition rewards Annual holiday leave Maternity and paternity leave Employee Assistance Programme Opportunity to travel to new locations to meet colleagues Priority Pass, and travel upgrades for long haul company events About Canonical Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world on a daily basis. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Canonical has been a remote-first company since its inception in 2004.​ Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration. #LI-remote

Location: Japan Workplace: remote Welocalize is currently seeking a Korean Metadata Specialist for a full-time position in Japan. You will be working remotely as a vendor for a leading consumer technology company, contributing to the finished products released in target markets across the globe. You will evaluate the quality of both written and spoken text for services as it relates to your area of linguistic and geographic expertise. In addition, you may also work on content review and creation for Music and TV applications. You will work cooperatively with international teams to monitor and improve the quality of client products and partner data integrations.   Do you love movies and TV shows? Are you the type of person who just can't resist looking up your favorite movie stars to see what else they've starred in? Then help us make one of the most used TV streaming services accessible to everyone!   JOB INFORMATION: ·       Location: Remote in Japan ·       Full-time employment ·       Start date: Immediately ·       Duration: 12 months (potential for further contract extension) ·       Work Hours and Shifts: 8 hours a day, a standard 40 hours. We have a set shift schedule will be assigned to: Mon-Fri, Tues-Sat, or Sun-Thu.   TEAM & CULTURE: ·       You will work as part of an international team. ·       Your colleagues are industry experts with significant experience in their fields, which means that you will have a strong support network around you. ·       You will work in a transparent and collaborative environment providing you with plenty of opportunities to share and discuss ideas with your colleagues and shape how we work. ·       We are fun, friendly, and most importantly, love what we do. Responsibilities: QA various products in by accurately following testing instructions and test cases Adhere to project-specific quality standards, trademarks, style guides and client-preferred checklists and glossaries Complete assigned tasks in a quality and timely manner Ability to stay motivated and deliver results while working on repetitive tasks Ability to under and prioritize task and issues quickly and efficiently Native level language skills and cultural awareness Drive to deliver results in a fast-paced environment with constantly changing requirements Highly organized with attention to detail and a commitment to quality Ability to navigate ambiguity and make informed judgment calls with information at hand Effective verbal and written communication skills Passion for and knowledge of the film and TV industry About you: Proficient in Korean Proven ability to maintain motivation and solid focus through repetitive tasks Highly detail-oriented with ability to multitask and meet deadlines in a high-pressure environment Sharp problem solving and analytical skills, along with ability to learn from history and prevent errors from recurring Comfortable with navigating ambiguity to make sound judgment call A wide-ranging and up-to-date knowledge of the local movies, TV shows, music, literature, social media platforms, cultural sensitivities and nuance Knowledge of advanced spreadsheet and XML a plus This position may require work outside of normal business hours, on weekends and holidays. Your next step: Apply today for immediate consideration, click the link and send your CV. We look forward to hearing from you!

Location: Yerevan, Armenia Description A customer analytics specialist is responsible for analyzing customer data and pushing data-driven initiatives to increase the impact of CRM projects. The main objective is to provide meaningful insights to the CRM team as well as help implement efficient processes for data usage including segmentation, automation, and personalization within the contexts of the CRM-owned channels. CRM Analytics specialists work closely with several stakeholders within the CRM and other teams to deliver sophisticated analytics of CRM and targeted marketing activities and estimate their impact on revenue. These projects include, but are not limited to, creating, and maintaining various dashboards, and providing ad hoc analysis and insights to help business run more efficiently. Responsibilities Integrate, compile, analyze and evaluate all sources of CRM data including customer, transactional, engagement and product data, and identify key trends Develop and present detailed reports for management and the team to help them make more informed and impactful decisions, conduct analysis for CRM campaigns post-factum, assess user engagement in campaigns, deliver actionable insights and recommendations Provide valuable insights into customer behavior, identify betting patterns and preferences during different stages of their lifecycle with the company, develop customer activity profiles through statistical analysis Identify and define different customer segments and provide insights into efficient targeting, conversion and retaining of customers, monitoring monthly change of user categories Develop a holistic view of the customer lifecycle and the impact of implemented CRM strategies throughout the entire lifecycle of the customer Conduct business analysis, identify key factors and causation links by evaluating information gathered from multiple sources (including customer surveys) to form a solid understanding of business processes from low-level information and be able to make daily and monthly comparisons Collaborate with other members of the team on various projects to ensure good quality data is being used, participate in manual and automated daily data reconciliation/manipulation, implement improvements for increased quality and efficiency of CRM processes Undertake spontaneous initiation of analysis to generate customer insight or operational projects to add value to the CRM workflow Requirements Degree in Economics, Finance, Business, Mathematics, or other relevant fields Proven working experience in data/ business analysis Experience working with large datasets attained through multiple channels Strong understanding of data modeling concepts Strong mathematical and analytical mindset Advanced practical knowledge of MS Excel is a must Demonstrated knowledge of SQL and ETL processes Experience with Power BI is a huge plus Experience with programming languages or statistical packages like Python or R is a plus Familiarity with CRM tools and programs is a big plus Ability to work in a fast-paced environment and adapt to changes Logical and problem-solving mindset Hardworking and flexible personality with a high sense of responsibility Ability to effectively multitask and prioritize tasks Passion, drive, and motivation to continuously learn new things Strong communication and presentation skills

Location: Yerevan, Armenia Description: We are looking for a Head of Digital Marketing Department to join our team. The ideal candidate will have a strong digital marketing background, a strategic mindset, and excellent leadership skills. You’ll collaborate with cross-functional teams to ensure optimal performance and data-driven decision-making. Responsibilities: Develop and implement digital marketing strategies to ensure user engagement, and maintain engagement across the Company’s digital platforms, including paid media, SEO, social media, content marketing, etc. Define monthly/quarterly content promotion strategies, approve action plans, and monitor their execution across social platforms by introducing engaging content and campaigns that will increase brand awareness and customer engagement Oversee the planning, execution, and improvement of paid media campaigns (PPC, display, social advertising) to ensure maximum ROI and customer engagement Develop and monitor SEO strategies to increase organic traffic, and improve search rankings via effective keyword research and link-building Analyze campaign performance, user behavior, and campaign effectiveness using Google Analytics, other data management platforms, and analytics tools Plan annual, quarterly, and monthly budgets for paid advertising campaigns Provide annual, quarterly, and monthly performance reports, define and measure KPIs Collaborate with relevant units within the Company to increase customer satisfaction through a common strategy Constantly monitor emerging trends, technologies, and tools in digital marketing. Implement innovative strategies to stay ahead of competitors and accelerate growth Supervise and coordinate the department's activity Delegate tasks and supervise their implementation according to the deadlines established. Provide guidance, mentoring, and performance evaluation to ensure efficient execution of objectives Organize and monitor the onboarding process of new hires Ensure all digital marketing activities comply with the RA Law on Advertising, as well as other legislative and regulatory requirements related to the field Perform other functions assigned by the immediate supervisor and arising from the duties of the position Requirements: Master’s degree in Marketing, Digital technologies, or a relevant field Proven work experience as a Digital marketing unit manager Demonstrable experience in designing and implementing successful digital marketing campaigns Proficient in MS Office (particularly Excel) and data manipulation Excellent knowledge of English and Russian languages Strong understanding of how all current digital marketing channels function Solid knowledge of online marketing tools and best practices Hands-on experience with SEO/SEM, programmatic media-buying, and CRM software Familiarity with web design Experience in data analysis and reporting Excellent analytical and project management skills Strong team management and communication (written and verbal) skills Analytical thinking with strong math skills Good time management skills, including prioritizing, scheduling, and adapting as necessary Ability to work on multiple projects with different objectives simultaneously The ability to think strategically and develop innovative marketing strategies