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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? As a Mid-Market Account Executive, you will be a key member of the team leading the growth of our new business. We’re building a world-class sales organization, and the road ahead is going to be very exciting. At Fin, we are striving to do sales differently. We are asking our customers to put Fin at the core of their businesses, and we can only do this by putting them at the core of ours. We strongly believe in the overall growth and continued development of each new hire. In joining the Account Executive team at Fin, you join a community that believes in development and promotion from within. As a rapidly expanding business, there is a high degree of opportunity for progression, creativity, and ownership. What will I be doing? Evangelize our product by spearheading the growth and adoption of Fin across our Mid-Market segment Manage the full sales cycle for Fin's Mid Market customers, from prospecting to close, through a consultative sales approach Provide timely and accurate forecasts and clear visibility on revenue performance Maintain up-to-date knowledge of our evolving products and processes Create your own demonstrations, tailored to client needs Engage in team development and mentoring Represent the voice of the customer to cross-functional partners, including Marketing and Product Contribute to the overall growth of the global Enterprise business, pioneering new best practices and driving projects to up level the team What skills do I need? 5+ years experience as an Account Executive 3+ years of SaaS experience selling similar products Strong sales instincts and track record hitting and exceeding quota Exceptional written and verbal communication Fluent German (Business Level) Comfortable and energized operating and problem-solving in a fast-moving organization, working inbound and outbound opportunities across a range of industries and company sizes Ability to close net new business in a competitive landscape Exhibits a growth mindset, intellectual curiosity, and ambition 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: Poland; Ukraine; Georgia Workplace: Remote Solvd Inc. is a rapidly growing AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence. We work with industry-leading organizations to design, build, and operationalize technology solutions that drive measurable business outcomes. Following the acquisition of Tooploox, a premier AI and product development company, Solvd now offers true end-to-end delivery—from strategic advisory and solution design to custom AI development and enterprise-scale implementation. Our capability centers combine deep technical expertise, proven delivery methodologies, and sector-specific knowledge to address complex business challenges quickly and effectively. What you will do - Deliver end-to-end data science projects using classical machine learning (e.g., regression, classification, time series forecasting) and deep learning approaches — from data exploration and modeling to deployment and performance tracking. - Collaborate closely with business stakeholders to identify opportunities and translate them into measurable data-driven solutions. - Present complex analytical findings in a clear, actionable way to both technical and non-technical audiences. - Contribute to analytical planning and ensure alignment with overall business objectives. - Support presales activities by preparing data/ML solution concepts, participating in client meetings, and estimating project scope and potential value. - Help shape the Data Science practice by contributing to its strategic development and supporting recruitment initiatives. What you bring - Proven experience as a Data Scientist delivering end-to-end projects — from exploratory data analysis to model deployment, performance evaluation, and experimentation (e.g., A/B testing). - Strong expertise in working with tabular and time-series data, including EDA, feature engineering, predictive modeling, and model evaluation. - Proficiency in Python and common data-science libraries (e.g., pandas, scikit-learn, TensorFlow/PyTorch). - Experience leading or mentoring analytics teams and coordinating with business stakeholders. - Excellent communication skills, able to translate between technical and business perspectives effectively. - Solid understanding of business processes and data structures. - Confidence in client-facing settings: gathering requirements, shaping analytical roadmaps, and delivering measurable business value. - Fluency in English for meetings with international clients. Nice to have - Hands-on experience with deep learning, computer vision, or generative AI projects. - Familiarity with cloud platforms (AWS, GCP, or Azure) and MLOps tools. - Experience with data visualization or BI tools for communicating insights. When you join Solvd, you'll… - Shape real-world AI-driven projects across key industries, working with clients from startup innovation to enterprise transformation. - Be part of a global team with equal opportunities for collaboration across continents and cultures. - Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards. Ready to make an impact? If you're excited to build things that matter, champion responsible AI, and grow with some of the industry’s sharpest minds. Apply today and let’s innovate together. Solvd is an equal opportunity employer.

Location: Shanghai, China Would you like to get hands-on experience with the latest technologies and gain insight into industry-changing software development tools? Are you keen to diversify your skill set and expand your professional network? Join our team and become a JetBrains Campus Ambassador in China ! At JetBrains, code is our passion. Ever since we started back in 2000, we have strived to make the strongest, most effective developer tools on earth. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover, and create. We are looking for a passionate leader to help us raise awareness about JetBrains tools and Kotlin in China's universities and colleges. If you are pursuing an undergraduate or graduate university degree and are familiar with JetBrains software development tools, such as IntelliJ IDEA, PyCharm, CLion, and others, this might be an exciting opportunity for you. In this role, you’ll be able to share your experience of JetBrains products with your peers and help us spread the word that JetBrains provides tools to students for free. As part of our team, you will: As a student expert, you will host student meetups, workshops, and Q&A sessions, delivering talks on cool technologies that showcase JetBrains tools. Coordinate JetBrains’ participation in student conferences, campus competitions, hackathons, and similar events. Set up a student club, mentor peers, and build a community of passionate students. Collaborate with fellow JetBrains Campus Ambassadors worldwide. We expect that you: Are currently enrolled in Computer Science or a related technical field, with a background in software development. Are familiar with and have a passion for JetBrains tools and are eager to share that passion with others. Have excellent communication and public speaking skills. Experience planning events or leading a team would be a plus. With this position, you will gain: Access to a network of product and technology experts from JetBrains who can mentor you and share their expertise. Practical experience in activity organization, coordination and communication with students Gain a first-mover advantage in your career path and expand your communication network in the global technology ecosystem Use all JetBrains tools and technologies for free to help you and your peers move forward This is a part-time position based at the China Universities campus. #LI-DNI We are an equal opportunity employer We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation. We process the data provided in your job application in accordance with the Recruitment Privacy Policy.

Location: India Who We Are: Galaxy Digital Inc. (Nasdaq: GLXY) is a global leader in digital assets and data center infrastructure, growing the economy that runs on code. Galaxy delivers the onchain infrastructure that connects institutions to digital assets, including trading, advisory, asset management, staking, self-custody, and tokenization. Galaxy also develops and operates data center infrastructure to power AI and HPC workloads. Anchored by its Helios campus in Texas, Galaxy is building a multi-gigawatt pipeline of more than 5.7 GW of potential capacity, positioning it among the largest and fastest-growing data center developers in North America. The Company is headquartered in New York City, with offices across North America, Europe, the Middle East, and Asia. Additional information about Galaxy's businesses and products is available on www.galaxy.com . What We Value: We are a diverse team of free thinkers, and fast movers united to help investors and creators energize the global economy. We are looking for individuals who thrive in a culture of builders and overachievers and embrace high performance, transparent feedback, and a mission-first approach. Our culture shapes our way of working and gets us where we want to be. Seek Excellence. Be Selective To Be Effective. Be Highly Aligned, Loosely Coupled. Disagree Transparently. Encourage Independent Decision-Making. Build Dream Teams. About GalaxyOne: GalaxyOne is designed for individual investors who want the best of both traditional and digital markets. Its core offerings include competitive yield on cash deposits for U.S.-based individual investors and 8.00% yield through Galaxy Premium Yield for U.S. accredited investors, as well as seamless access to crypto and equities trading and the ability to reinvest earned interest into bitcoin or other supported crypto, all in one precision-built platform. GalaxyOne, backed by Galaxy Digital Inc (NASDAQ/TSX: GLXY), benefits from the firm's proven financial expertise, risk management and white-glove client service. Additional information about GalaxyOne is available at galaxy.app and you can learn even more here: " The Launch of GalaxyOne with Zac Prince " and " GalaxyOne on FOX Business ." Who You Are: This role is a Senior Back End Developer ( Lending/Commercial) for an exciting new business initiative at Galaxy. In this position, you’ll design, develop, and optimize robust, scalable software back end that powers our web and mobile applications for a new product offering. You will join a team of back-end developers, ensuring the reliability, security, and performance of our platforms while collaborating with front-end, product, and infrastructure teams. Your expertise will help drive the architecture of our product offerings, supporting Galaxy’s mission to innovate in the crypto economy. This role is office-based and candidates must be based in Mumbai, India , to qualify. What You’ll Do: Design, develop, and maintain high-performance back-end systems, APIs, and databases that support the business’s web and mobile applications. Help foster a culture of technical excellence, collaboration, and continuous learning. Collaborate with front-end developers, product managers, and DevOps teams to ensure seamless integration and delivery of features and services. Architect scalable, secure, and efficient server-side solutions that meet fintech industry standards and handle high transaction volumes. Implement best practices for code quality, testing, and deployment, including code reviews and automated testing frameworks. Stay current with emerging technologies and trends in back-end development, blockchain, and fintech to recommend innovative improvements. What We’re Looking For: Bachelor’s degree in computer science, engineering, or a related field (or equivalent experience). 7+ years of experience in back-end development, with at least 2 years in a senior role. Hands-on development experience in Node, Express, TypeScript and related frameworks like Nest.js to build REST API's and other services. Strong experience with SQL and some exposure to NoSQL is nice to have. Experience with Microservices and Event based architecture. Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and containerization tools (e.g., Docker, Kubernetes) Experience in using Caching and Messaging Queues like Kafka. Experience using Postman and Git / Bitbucket. Bonus Points: Prior experience working in a startup, taking a product from zero to one. Experience in financial markets or brokerages. What We Offer: Competitive base salary and discretionary bonus Competitive paid time off Company-paid health and protective benefits for employees and their eligible dependents Free virtual coaching sessions through Headspace Opportunities to learn about the Crypto industry Smart, entrepreneurial, and fun colleagues *Benefits may vary depending on location. Galaxy respects diversity and seeks to provide equal employment opportunities to all employees and job applicants for employment without regard to actual or perceived age, race, color, creed, religion, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression (including transgender status), sexual orientation, marital or partnership or caregiver status, ancestry, national origin, citizenship status, disability, military or veteran status, protected medical condition as defined by applicable state or local law, genetic information or predisposing genetic characteristic, or other characteristic protected by applicable federal, state, or local laws and ordinances. We will endeavor to make a reasonable accommodation to the known limitations of a qualified applicant with a disability unless the accommodation would impose an undue hardship on the operation of our business. If you believe you require such assistance to complete the application process or to participate in an interview, please contact careers@galaxy.com.

Location: Al Hofuf, Saudi Arabia; Buqayq, Saudi Arabia; Al Jubail, Saudi Arabia; Dammam, Saudi Arabia We are looking for a Maintenance Planner for a prestigious opportunity in the Oil & Gas sector in Saudi Arabia . As a Maintenance Planner, you will play a crucial role in ensuring the efficient operation and reliability of equipment through effective maintenance planning and scheduling. Your expertise will contribute to minimizing downtime and optimizing the maintenance processes, ensuring adherence to the highest safety standards. Key Responsibilities: Plan, schedule, and coordinate maintenance and shutdown activities. Develop detailed job plans, resource allocation, and timelines. Ensure maintenance plans align with operational and safety standards. Utilize SAP or equivalent ERP systems for maintenance planning and reporting. Collaborate with operations, maintenance, and procurement teams to ensure smooth execution. Qualifications & Experience: Bachelor’s Degree in Mechanical Engineering (or related diploma). Certification in Planning and Scheduling (CPSP or equivalent). Proven experience in maintenance and shutdown planning . Proficiency in SAP or similar ERP systems. Experience in oil & gas or petrochemical industries preferred. Strong MS Office skills (Excel, Word, PowerPoint). Good knowledge of data analytics tools (Power BI, Tableau) is an advantage. Fluent in English ; Arabic is a plus. Willing to work rotating shifts , including nights and weekends. Key Skills: Strong analytical and problem-solving abilities. Excellent communication and teamwork skills. Attention to detail and ability to manage multiple priorities.

Location: Dhahran, Saudi Arabia Eram Talent is seeking a knowledgeable Technical Construction Advisor to join our Advisory Services team. In this role, you will provide expert guidance and support to clients throughout the construction process, ensuring that projects are executed efficiently and effectively. As a Technical Construction Advisor, you will leverage your extensive experience in the construction industry to advise on best practices, technical specifications, and regulatory compliance. The selected resource will provide advisory support across construction project design, delivery, and execution for institutional-grade logistics facilities. The expected commitment is 2–3 days per week over a 12-month period. Responsibilities: Oversight and guidance throughout warehouse construction projects Technical review and recommendations during design and execution Advisory on turnkey construction design, procurement, and contracts Guidance related to 3PL operator requirements and operational efficiencies Provide technical advice and support on construction projects, ensuring adherence to best practices and standards. Evaluate project plans, specifications, and designs to identify potential issues and recommend improvements. Conduct site visits to assess construction progress and compliance with technical requirements. Prepare technical reports and documentation to support project decision-making. Requirements Bachelor's degree in Engineering or a related field. 15–20 years of experience in the design and delivery of institutional grade-A logistics facilities across EMEA and the GCC Strong knowledge of utilities, infrastructure, sustainability initiatives, and ESG compliance Proven experience working with turnkey construction design and contract structures Previous exposure to major 3PL operators, understanding their operational standards and facility requirements Excellent communication and interpersonal skills. Ability to work collaboratively with diverse teams and stakeholders. Strong problem-solving skills and attention to detail. Familiarity with project management methodologies is an advantage.

Location: Dhahran, Saudi Arabia; Mumbai, India; Delhi, India Eram Talent is actively seeking a knowledgeable and experienced Project Engineer (EPC) to join our team for a prominent company within the Engineering, Procurement, and Construction (EPC) sector. The ideal candidate will be responsible for managing and overseeing projects through all phases of the EPC process. This role will involve ensuring that projects are delivered on time, within budget, and in compliance with quality and safety standards. As part of ERAM Group, E-Talent is an independent Talent Acquisition Consultancy committed to connecting top-tier professionals with outstanding opportunities across various domains including Engineering, Oil & Gas, Infrastructure, and Construction. This is an exciting opportunity for an ambitious engineer to drive impactful projects within a dynamic environment. Responsibilities 1. Technology and Engineering Management 1.1 Assist the Project Manager in reviewing project basic engineering design documents, ensuring full compliance with Saudi Aramco design standards (e.g., SAES, SAMSS, SABP) and project specifications. 1.2 Coordinate design work across various disciplines (Process, Piping, Mechanical, Electrical, Instrumentation, Civil, etc.), chair or participate in key technical coordination meetings, and resolve interface conflicts and technical challenges during the design phase. 1.3 Manage the flow, approval, and archiving of project technical documents, ensuring the accuracy and completeness of all engineering deliverables. 1.4 Lead or participate in the technical evaluation of Technical Queries (TQs), Material Substitution Requests (SRM), and Change Requests (CRs), and follow up on the Saudi Aramco approval process. 2. Procurement and Supplier Coordination 2.1 Provide technical support to assist in the preparation of procurement technical specifications for key equipment and materials. 2.2 Participate in the technical bid evaluation of key suppliers. 2.3 Review technical documents submitted by suppliers (such as drawings, data sheets, calculation reports, ITP), ensuring they meet project requirements. 2.4 Coordinate the resolution of any technical issues arising during equipment manufacturing. 3. Construction and Pre-Commissioning Support 3.1 Provide comprehensive technical support to field construction, resolving technical challenges encountered during construction. 3.2 Review the technical feasibility of Construction Method Statements. 3.3 Manage engineering changes within the project scope, assess the impact of changes on cost, schedule, and technology, and strictly adhere to the change management process. 3.4 Participate in onsite system Mechanical Completion checks, ensuring installation work conforms to design intent and specifications. 3.5 Support pre-commissioning and commissioning activities by providing necessary technical documents and guidance. 4. Planning, Scheduling, and Reporting 4.1 Assist the Project Manager in developing and controlling the project's engineering schedule. 4.2 Prepare and submit weekly/monthly engineering technical progress reports to the Project Manager and the client (Saudi Aramco). 4.3 Identify and assess project technical risks and propose mitigation measures. 5. Compliance and Standards 5.1 Ensure all engineering activities strictly comply with Saudi Aramco's Health, Safety, and Environment (HSE) policies and procedures. 5.2 Ensure the entire project process conforms to Saudi Aramco's Quality Management System requirements. 6. Communication and Coordination 6.1 Act as one of the primary points of contact for daily technical communication with the client's (Saudi Aramco) engineers. 6.2 Effectively coordinate work between the internal design team, procurement team, construction team, and subcontractors. Requirements 1. Education and Professional Qualifications Bachelor's degree or higher, majoring in Petroleum Engineering, Chemical Engineering, Mechanical Engineering, or a related engineering field. Possession of PMP (Project Management Professional), Chartered Engineer, or equivalent certification is preferred. 2. Work Experience 2.1 Minimum 8-10 years of project engineering experience in the oil, gas, or petrochemical industry, including at least 5 years in a Project Engineer or similar technical coordination role on large-scale Saudi Aramco petrochemical EPC projects. In-depth understanding and practical experience with Saudi Aramco standards, processes, and culture are required. 2.2 Project experience in oil-gas separation, production enhancement, gathering and distribution stations, or similar upstream/midstream facilities is preferred. 3. Knowledge and Skills 3.1 Proficiency in at least one core engineering discipline (e.g., Process, Piping, or Mechanical) and familiarity with the fundamentals of other related disciplines. 3.2 Thorough understanding of the project lifecycle, from conceptual design to mechanical completion and commissioning. 3.3 Familiarity with international engineering standards (e.g., ASME, API, ANSI, IEC) and Saudi Aramco-specific standards. 3.4 Proficient in MS Office (especially Word, Excel, PowerPoint). 3.5 Proficient in project management software (e.g., Primavera P6 or MS Project). 3.6 Familiarity with common engineering design software and document management systems (e.g., SPF, Aconex). 3.7 Fluent in both English and Arabic, with both languages serving as working languages. 4. Core Competencies and Personal Attributes 4.1 Ability to communicate clearly and effectively with technical experts, management, and clients. 4.2 Ability to analyze complex problems under pressure and propose practical solutions. 4.3 Ability to lead cross-functional teams in resolving technical issues, even in the absence of direct reporting lines. 4.4 Capable of managing multiple tasks and large volumes of technical information simultaneously. 4.5 Adaptability to fast-paced, high-demand project environments, and ability to navigate cultural differences and work challenges. 4.6 Strong sense of responsibility and commitment to achieving project goals. Benefits Job Location: Ningbo, China & Saudi Haradh Contract Period: 1 to 3 years depending on the project and performance. Visa: Business visa will be provided by the Client.

Location: Al Hofuf, Saudi Arabia; Buqayq, Saudi Arabia; Al Jubail, Saudi Arabia Eram Talent is seeking an experienced Electrical Engineer with Gas Plant experience to join their team in Saudi Arabia. In this role, you will be responsible for overseeing the electrical systems within gas processing facilities, ensuring compliance with industry standards and safety regulations. The ideal candidate will have a strong background in electrical engineering and practical experience in the oil and gas sector, specifically within gas plants. Responsibilities Design, implement, and maintain electrical systems for gas processing facilities. Ensure all electrical installations meet safety standards and regulations. Conduct troubleshooting and maintenance activities on electrical systems. Collaborate with engineering teams to execute project plans and objectives. Prepare technical documentation, including specifications, reports, and drawings. Monitor project progress and report on any issues or delays. Provide technical support during the commissioning and startup phases of gas plants. Stay updated on industry trends and advancements in electrical engineering technology. Requirements Bachelor's degree in Electrical Engineering Minimum of 3+ years of experience in electrical engineering within the oil and gas industry. Experience specifically in gas plant operations and electrical systems. Proficiency in electrical design software and tools. Strong understanding of electrical codes, standards, and safety regulations. Excellent problem-solving and analytical skills. Effective communication and teamwork abilities. Ability to work in challenging environments and adapt to changing situations.

Location: San Francisco, CA | New York City, NY; 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 Anthropic's research teams are pushing the boundaries of AI safety and capability research, and they need exceptional tools to do their best work. As a Software Engineer on the Research Tools team, you'll build the infrastructure and applications that enable our researchers to iterate quickly, run complex experiments, and extract insights from frontier AI systems. This role sits at the intersection of product thinking and full-stack engineering. You'll work directly with researchers and engineers to deeply understand their workflows, identify bottlenecks, and rapidly ship solutions that multiply their productivity. Whether you're building human feedback interfaces for model evaluation, creating platforms for experiment orchestration, or developing novel visualization tools for understanding model behavior, your work will directly accelerate our mission to build safe, reliable AI systems. We're looking for someone who can operate with high agency in an ambiguous environment—someone who can be dropped into a research team, quickly develop domain expertise, and independently drive impactful projects from conception to delivery. No ML or Research experience is required Responsibilities Build and maintain full-stack applications and infrastructure that researchers use daily to conduct experiments, collect feedback, and analyze results Partner closely with research teams to understand their workflows, pain points, and requirements, translating these into technical solutions Design intuitive interfaces and abstractions that make complex research tasks accessible and efficient Create reusable platforms and tools that accelerate the development of new research applications Rapidly prototype and iterate on solutions, gathering feedback from users and refining based on real-world usage Take ownership of complete product areas, from understanding user needs through design, implementation, and ongoing iteration Contribute to technical strategy and architectural decisions for research tooling Mentor other engineers and help establish best practices for research application development You may be a good fit if you Have 5+ years of software engineering experience with a strong focus on full-stack development Excel at rapid iteration and shipping—you can move from concept to working prototype quickly Have experience building tools, platforms, or infrastructure for technical users (engineers, researchers, data scientists, analysts, etc.) Demonstrate high agency and ability to operate independently in ambiguous environments Can quickly develop deep understanding of complex technical domains Have strong product instincts and can identify the right problems to solve Are proficient with modern web technologies (React, TypeScript, Python, etc.) Have a track record of building user-facing applications that are actually used and loved by their target audience Communicate effectively with both technical and non-technical stakeholders Care about the societal impacts of your work and are motivated by Anthropic's mission Strong candidates may also have Experience building research tools, scientific software, or experimentation platforms Background in machine learning, AI research, or working closely with ML researchers Founded or been an early engineer at a startup, particularly one focused on developer or researcher tools Built open-source tools or platforms with active user communities Experience with data visualization, interactive interfaces, or novel interaction paradigms Contributed to engineering platforms or internal tooling at scale (similar to Heroku, Vercel, or other platform-as-a-service products) Experience leveraging AI/LLMs to build more powerful or efficient tools Previous work in creative tools, artist tools, or other domains requiring deep user empathy Domain knowledge in areas like human-computer interaction, systems safety, or AI alignment Representative projects Building interfaces for collecting and managing human feedback on model outputs at scale Creating experiment orchestration platforms that make it easy to launch, monitor, and analyze complex research runs Developing visualization tools that help researchers understand model behavior and identify failure modes Designing reusable components and frameworks that enable rapid development of new research applications Building sandboxed execution environments for safely running AI-generated code The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $300,000 — $405,000 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: Rome, Italy; Lisbon, Portugal; Berlin, Germany; Paris, France; Madrid, Spain Müller's Solutions is looking for an enthusiastic BMC Helix Support / Technical Support Analyst to join our remote team. In this vital role, you will deliver superior technical support to our clients using BMC Helix, assisting them with troubleshooting and resolving various technical challenges related to the software. This position requires a proactive approach in providing solutions while ensuring a high level of customer satisfaction. Key Responsibilities: Provide efficient first-level technical assistance to clients using BMC Helix, addressing and resolving inquiries promptly. Troubleshoot issues related to BMC Helix, including installation, configuration, and operational challenges. Guide clients through the implementation process, ensuring effective usage of the BMC Helix platform. Document technical problems and solutions systematically to build a robust knowledge base for future reference. Collaborate with product teams to communicate customer feedback and assist in routine software updates. Participate in training sessions and webinars to educate users on best practices within the BMC Helix environment. Contribute to process improvement initiatives that enhance customer support experiences. Requirements Requirements: Bachelor's degree in Computer Science, Information Technology, or related discipline. Minimum of 2 years of technical support experience, ideally within a software or IT service environment. In-depth knowledge of BMC Helix and experience with ticketing systems. Strong analytical and troubleshooting skills, with attention to detail. Excellent verbal and written communication abilities to convey complex information clearly. Ability to work independently in a remote setup while managing efficiency and productivity. Customer-oriented mindset with a dedication to exceeding client expectations. Preferred Qualifications: Experience in ITIL frameworks or IT service management processes. Familiarity with other IT service management tools and methodologies. Prior experience in a remote technical support role. Relevant certifications in BMC Helix or IT support services are a plus. Capability to prioritize tasks effectively and work under minimal supervision.

Location: Rome, Italy; Lisbon, Portugal; Berlin, Germany; Paris, France; Madrid, Spain Müller's Solutions is looking for a talented BMC Helix Integration / Automation Specialist to join our dynamic team remotely. In this pivotal role, you will be tasked with creating and implementing automation solutions using BMC Helix integration tools. Your contributions will be essential in streamlining operations and enhancing client satisfaction through effective integration strategies. Key Responsibilities: Develop and implement integration solutions utilizing BMC Helix to facilitate smooth data exchanges across various applications. Create automation workflows aimed at improving operational efficiencies and reducing manual tasks. Engage with clients to understand their unique requirements and translate these into technical specifications for integration. Perform ongoing monitoring and troubleshooting of integration systems to ensure continuous improvement and reliability. Document and maintain detailed records of integration processes, workflows, and operational guidelines. Keep abreast of new features and best practices related to BMC Helix and integration technologies. Requirements Qualifications: Bachelor's degree in Computer Science, Information Technology, or a related discipline. 3+ years of experience in integration or automation roles, specifically with BMC Helix. Comprehensive understanding of integration frameworks, methodologies, and tools. Proven experience in creating automation scripts and workflows. Proficiency in programming languages such as Python, Java, or equivalent. Familiarity with RESTful APIs, web services, and data exchange protocols. Strong analytical, troubleshooting, and problem-solving capabilities. Exceptional communication skills to collaborate effectively with clients and team members. A self-starter who can work independently and manage multiple tasks effectively in a remote setting. Experience with cloud services and platforms is advantageous.

Location: Rome, Italy; Lisbon, Portugal; Berlin, Germany; Paris, France; Madrid, Spain Müller's Solutions is looking for a talented BMC Helix Developer to join our dynamic team remotely. In this position, you will focus on the design, development, and enhancement of applications within the BMC Helix framework to address our clients' unique business challenges. Your expertise will drive the customization and optimization of Helix solutions, ensuring seamless integration and user experience. Key Responsibilities: Develop, configure, and maintain applications on the BMC Helix platform. Collaborate with business analysts to gather and translate requirements into functional solutions. Customize Helix functionalities to improve performance and user engagement. Conduct testing and debugging to ensure high-quality deliverables. Participate in code reviews and contribute to best practice discussions within the team. Document development processes and application designs for future reference. Keep up-to-date with the latest updates in BMC Helix and relevant technologies. Requirements Requirements: Bachelor's degree in Computer Science, Software Development, or a related discipline. Proven experience with BMC Helix or similar IT service management tools. Strong knowledge of programming languages such as Java, C#, or Python. Understanding of RESTful APIs and service-oriented architecture. Experience with database management systems, including SQL databases. Proficiency in version control systems like Git. Ability to work collaboratively in a remote team environment. Strong analytical skills with a problem-solving mindset. Preferred Qualifications: Certification in BMC Helix development or related IT certifications. Familiarity with Agile methodologies and DevOps practices. Experience in system performance tuning and optimization techniques. Excellent communication skills and the ability to interact with various stakeholders.

Location: Madrid, Spain; Paris, France; Berlin, Germany; Lisbon, Portugal; Rome, Italy As a BMC Helix Administrator (Remote) at Müller’s Solutions, you will play a vital role in maintaining and optimizing our BMC Helix environments. This remote position requires extensive knowledge of the BMC Helix platform, where you will be responsible for administering system configurations, managing user access, and ensuring high availability of our service management processes. You will collaborate with technical teams and stakeholders to implement best practices and streamline operations. Key Responsibilities: Administer BMC Helix applications, including workflows, dashboards, and reports, ensuring optimal performance and reliability. Monitor system health and performance, proactively identifying and resolving issues to minimize downtime. Provide technical support and training to end-users, facilitating the effective use of the platform. Manage system upgrades, patches, and configuration changes in collaboration with cross-functional teams. Document system configurations, maintenance procedures, and best practices for future reference. Analyze system functionalities and stakeholder needs to recommend enhancements and improvements. Stay up-to-date on BMC Helix developments and contribute to the continuous improvement of our IT service management solutions. Requirements Requirements: Bachelor's degree in Computer Science, Information Technology, or a related field. 3-5 years of experience in administering BMC Helix or similar IT Service Management platforms. Strong knowledge of BMC Helix architecture, components, and administration. Experience with incident, problem, and change management workflows within BMC Helix. Excellent problem-solving skills and the ability to work independently in a remote setting. Strong communication skills to collaborate effectively with remote teams and stakeholders. BMC certifications or relevant training in ITSM are a plus. Preferred Qualifications: Familiarity with scripting languages for automation (e.g., Python, Ruby). Understanding of Agile methodologies and experience in an Agile environment. Experience with integration of BMC Helix with other enterprise applications. Proven ability to mentor and train junior staff. Proactive approach to system optimization and user support.

Location: New York; San Francisco; Toronto; Montreal Workplace: Remote WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Role Overview: Our team is a fast-growing group of committed researchers and engineers. The mission of the team is to build reliable machine learning systems and optimize audio inference serving efficiency using innovative techniques. As an engineer on this team, you will work on advancing core audio model serving metrics, including latency, throughput, and quality by diving deep into our systems, identifying bottlenecks, and delivering creative solutions for audio processing and streaming workloads. You’ll collaborate closely with both the training and serving infrastructure teams to ensure seamless integration between model development and deployment, with a special focus on real-time and streaming audio inference. Please Note: We have offices in Toronto, Montreal, San Francisco, New York, Paris, Seoul and London. We embrace a remote-friendly environment, and as part of this approach, we strategically distribute teams based on interests, expertise, and time zones to promote collaboration and flexibility. You'll find the Model Efficiency team concentrated in the EST and PST time zones, these are our preferred locations. Qualifications: - Significant experience developing high-performance audio or machine learning inference systems. - Proficiency with programming languages such as C++ and Python. - Hands-on experience with deep learning models for audio, speech, or language applications. - A bias for action and a strong results-oriented mindset. It is a big plus if you also have considerable experience with: - GPU programming, low-level system optimization, model parallelization techniques over multiple GPUs - Have experience with duplex real-time streaming architectures. - Internals of machine learning frameworks for audio (such as PyTorch, TensorFlow, or specialized audio libraries). - Have experience with inference framework like vLLM, SGLang, Tensort-LLM, or custom distributed inference systems - Sequence modeling (e.g., transformers for audio/speech) and end-to-end audio pipeline optimization Working location: This role can be based remotely or from one of our office locations listed on the job description - there is no minimum in-office qualification requirement. We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role. FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: New York; San Francisco; Toronto; Montreal Workplace: Remote WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Role Overview: Large Language Models (LLMs) continue to push the boundaries of what AI systems can do — but inference is still the bottleneck. The Model Efficiency team is responsible for pushing the limits of LLM inference efficiency across our foundation models. We explore and ship breakthroughs across the model execution stack, including: - model architecture and MoE routing optimization - decoding and inference-time algorithm improvements - software/hardware co-design for GPU acceleration - performance optimization without compromising model quality Please Note: We have offices in Toronto, Montreal, San Francisco, New York, Paris, Seoul and London. We embrace a remote-friendly environment, and as part of this approach, we strategically distribute teams based on interests, expertise, and time zones to promote collaboration and flexibility. You'll find the Model Efficiency team concentrated in the EST and PST time zones, these are our preferred locations. Key Responsibilities: As a Staff Research Engineer, you will develop, prototype, and deploy techniques that materially improve how fast and efficiently our models run in production. Qualifications: - Have a PhD in Machine Learning or a related field - Understand LLM architecture, and how to optimize LLM inference given resource constraints - Have significant experience with one or more techniques that enhance model efficiency - Strong software engineering skills - An appetite to work in a fast-paced high-ambiguity start-up environment - Publications at top-tier conferences and venues (ICLR, ACL, NeurIPS) - Passion to mentor others Working Location: This role can be based remotely or from one of our office locations listed on the job description - there is no minimum in-office qualification requirement. We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role.   FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: New York; San Francisco; Toronto; Montreal Workplace: Remote WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Role Overview: Our team is a fast-growing group of researchers and engineers focused on building reliable ML systems and pushing the boundaries of LLM inference efficiency. We develop techniques that improve how models execute in production, driving lower latency, higher throughput, and consistent quality across diverse workloads. Please Note: We have offices in Toronto, Montreal, San Francisco, New York, Paris, Seoul and London. We embrace a remote-friendly environment, and as part of this approach, we strategically distribute teams based on interests, expertise, and time zones to promote collaboration and flexibility. You'll find the Model Efficiency team concentrated in the EST and PST time zones, these are our preferred locations. Job Responsibilities: As an engineer on this team, you’ll work across the inference stack to improve core performance metrics by diving deep into model execution, identifying bottlenecks, and developing innovative optimizations. You’ll collaborate closely with modeling and systems teams to experiment, measure, and ship improvements that meaningfully accelerate inference. As the team evolves, you’ll have opportunities to build expertise in advanced performance techniques, including GPU/CUDA optimizations, kernel-level improvements, and model execution strategies for MoE and large-scale architectures. Qualifications: - 5+ years of experience writing high-performance, production-quality code - Strong programming skills in C++ or Python (Rust/Go also welcome) - Experience working with large language models and familiarity with the LLM inference ecosystem (e.g., vLLM, SGLang, etc.) - Ability to diagnose and resolve performance bottlenecks across the model execution stack - A strong bias for action — you ship fast, measure impact, and iterate It’s a big plus if you have experience with: - GPU programming, CUDA, or low-level systems optimization - Language modeling with transformers (MoE, speculative decoding, KV-cache optimizations) - Scaling performance-critical distributed systems (e.g., computation, search, storage) Working Location: This role can be based remotely or from one of our office locations listed on the job description - there is no minimum in-office qualification requirement. We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role. FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: When you see what modern language models are capable of, do you wonder, "How do these things work? How can we trust them?" The Interpretability team at Anthropic is working to reverse-engineer how trained models work because we believe that a mechanistic understanding is the most robust way to make advanced systems safe. We’re looking for researchers and engineers to join our efforts. People mean many different things by "interpretability". We're focused on mechanistic interpretability, which aims to discover how neural network parameters map to meaningful algorithms. Some useful analogies might be to think of us as trying to do "biology" or "neuroscience" of neural networks using “microscopes” we build, or as treating neural networks as binary computer programs we're trying to "reverse engineer". A few places to learn more about our work and team at a high level are this introduction to Interpretability from our research lead, Chris Olah ; a discussion of our work on the Hard Fork podcast produced by the New York Times, and this blog post (and accompanying video) sharing more about some of the engineering challenges we’d had to solve to get these results. Some of our team's notable publications include A Mathematical Framework for Transformer Circuits , In-context Learning and Induction Heads , Toy Models of Superposition , Scaling Monosemanticity , and our Circuits’ Methods and Biology papers. This work builds on ideas from members' work prior to Anthropic such as the original circuits thread , Multimodal Neurons , Activation Atlases , and Building Blocks . We aim to create a solid foundation for mechanistically understanding neural networks and making them safe (see our vision post ). In the short term, we have focused on resolving the issue of "superposition" (see Toy Models of Superposition , Superposition, Memorization, and Double Descent , and our May 2023 update ), which causes the computational units of the models, like neurons and attention heads, to be individually uninterpretable, and on finding ways to decompose models into more interpretable components. Our subsequent work found millions of features in Sonnet, one of our production language models, represents progress in this direction. In our most recent work, we develop methods that allow us to build circuits using features and use this circuits to understand the mechanisms associated with a model's computation and study specific examples of multi-hop reasoning, planning, and chain-of-thought faithfulness on Haiku 3.5, one of our production models.” This is a stepping stone towards our overall goal of mechanistically understanding neural networks. We often collaborate with teams across Anthropic, such as Alignment Science and Societal Impacts to use our work to make Anthropic’s models safer. We also have an Interpretability Architectures project that involves collaborating with Pretraining. Responsibilities: Develop methods for understanding LLMs by reverse engineering algorithms learned in their weights Design and run robust experiments, both quickly in toy scenarios and at scale in large models Create and analyze new interpretability features and circuits to better understand how models work. Build infrastructure for running experiments and visualizing results Work with colleagues to communicate results internally and publicly You may be a good fit if you: Have a strong track record of scientific research (in any field), and have done some work on Interpretability Enjoy team science – working collaboratively to make big discoveries Are comfortable with messy experimental science. We're inventing the field as we work, and the first textbook is years away You view research and engineering as two sides of the same coin. Every team member writes code, designs and runs experiments, and interprets results You can clearly articulate and discuss the motivations behind your work, and teach us about what you've learned. You like writing up and communicating your results, even when they're null To learn more about the skills we look for and how to prepare for this role, see our blog post – So You Want to Work in Mechanistic Interpretability? Familiarity with Python is required for this role. Role Specific Location Policy: This role is based in San Francisco office; however, we are open to considering exceptional candidates for remote work on a case-by-case basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $350,000 — $850,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. Note: we don't have open Research Manager positions on the Interpretability team at this time. However, we're actively growing our team of Research Engineers and Research Scientists . If you're excited about interpretability research and open to an individual contributor role, we encourage you to apply. About the Interpretability team When you see what modern language models are capable of, do you wonder, "How do these things work? How can we trust them?" The Interpretability team’s mission is to reverse engineer how trained models work, and Interpretability research is one of Anthropic’s core research bets on AI safety. We believe that a mechanistic understanding is the most robust way to make advanced systems safe. People mean many different things by "interpretability". We're focused on mechanistic interpretability, which aims to discover how neural network parameters map to meaningful algorithms. Some useful analogies might be to think of us as trying to do "biology" or "neuroscience" of neural networks, or as treating neural networks as binary computer programs we're trying to "reverse engineer". We aim to create a solid scientific foundation for mechanistically understanding neural networks and making them safe (see our vision post ). We have focused on resolving the issue of "superposition" (see Toy Models of Superposition , Superposition, Memorization, and Double Descent , and our May 2023 update ), which causes the computational units of the models, like neurons and attention heads, to be individually uninterpretable, and on finding ways to decompose models into more interpretable components. Our subsequent work which found millions of features in Claude 3.0 Sonnet, one of our production language models, represents progress in this direction. In our most recent work , we developed methods that allow us to build circuits using features and use these circuits to understand the mechanisms associated with a model's computation and study specific examples of multi-hop reasoning, planning, and chain-of-thought faithfulness on Claude Haiku 3.5, one of our production models.” This is a stepping stone towards our overall goal of mechanistically understanding neural networks. A few places to learn more about our work and team are this introduction to Interpretability from our research lead, Chris Olah, Stanford CS25 lecture given by Josh Batson, and TWIML AI podcast with Emmanuel Ameisen. Some of our team's notable publications include and our Circuits’ Methods and Biology papers, Scaling Monosemanticity: Extracting Interpretable Features from Claude 3 Sonnet , Towards Monosemanticity: Decomposing Language Models With Dictionary Learning , A Mathematical Framework for Transformer Circuits , In-context Learning and Induction Heads , and Toy Models of Superposition . This work builds on ideas from members' work prior to Anthropic such as the original circuits thread , Multimodal Neurons , Activation Atlases , and Building Blocks . About the role As a manager on the Interpretability team, you'll support a team of expert researchers and engineers who are trying to understand at a deep, mechanistic level, how modern large language models work internally. Few things can accelerate this work more than great managers. Your work as manager will be critical in making sure that our fast-growing team is able to meet its ambitious safety research goals over the coming years. In this role, you will partner closely with an individual contributor research lead to drive the team's success, translating cutting-edge research ideas into tangible goals and overseeing their execution. You will manage team execution, careers and performance, facilitate relationships within and across teams, and drive the hiring pipeline. If you're more interested in making individual direct technical contributions to our research as the primary focus of your role, feel free to apply to our Research Scientist or Research Engineer roles instead. Key responsibilities Partner with a research lead on direction, project planning and execution, hiring, and people development Set and maintain a high bar for execution speed and quality, including identifying improvements to processes that help the team operate effectively Coach and support team members to have more impact and develop in their careers Drive the team's recruiting efforts, including hiring planning, process improvements, and sourcing and closing Help identify and support opportunities for collaboration with other teams across Anthropic Communicate team updates and results to other teams and leadership Maintain a deep understanding of the team's technical work and its implications for AI safety You may be a good fit if you Are an experienced manager (minimum 2-5 years) with a track record of effectively leading highly technical research and/or engineering teams Have a background in machine learning, AI, or a related technical field Actively enjoy people management and are experienced with coaching and mentorship, performance evaluation, career development, and hiring for technical roles Have strong project management skills, including prioritization and cross-functional coordination and collaboration Have managed technical teams through periods of ambiguity and change Are a quick learner, capable of understanding and contributing to discussions on complex technical topics and are motivated to learn about our research Are a strong communicator both in speaking and in writing Believe that advanced AI systems could have a transformative effect on the world, and are passionate about helping make sure that transformation goes well Strong candidates may also have Experience scaling engineering infrastructure Experience working on open-ended, exploratory research agendas aimed at foundational insights Some familiarity with our work and mechanistic interpretability Role-Specific Location Policy This role is expected to be in our SF office for 3 days a week. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $350,000 — $500,000 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.