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Location: Bangkok, Thailand Workplace: remote At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a Avaloq Business Analyst/Functional Leads to join one of our clients ' teams. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you. About the Role Act as the bridge between business stakeholders and technical teams, ensuring requirements are clearly defined and understood. Gather, analyze, and document business and functional requirements for Avaloq implementation or enhancement projects. Support solution design and align functional specifications with system capabilities. Facilitate workshops, training sessions, and provide subject matter expertise to ensure successful project outcomes. Key Responsibilities Lead requirement gathering and functional analysis sessions with stakeholders. Translate business processes into functional specifications and ensure alignment with the Avaloq platform. Support test planning, test case design, and validation of system changes. Act as a functional lead in project streams, ensuring deliverables meet business objectives. Provide ongoing support and guidance to developers and testers during the project lifecycle. Minimum 3–5 years of experience as a Business Analyst or Functional Consultant, ideally within banking or financial services. Solid understanding of core banking processes such as payments, securities, client lifecycle management, and regulatory reporting. Experience with Avaloq parameterization or Avaloq projects is highly desirable. Strong analytical and problem-solving skills with the ability to translate business needs into functional requirements. Excellent communication skills in English; ability to work with senior stakeholders and cross-functional teams. Qualifications University degree in business administration, finance, computer science, or arelated field. Avaloq certification (ACP/ACFP) is an advantage. Previous experience in wealth management, private banking, or financial services consulting is beneficial. Why Join Us Exciting international projects: Work with global teams and clients in the fintech and banking domain. Professional growth: Gain hands-on experience in advanced Avaloq development and financial technology. Long-term opportunity: Initial 6-month contract with a strong likelihood of extension. Collaborative environment: Join a supportive, high-performing team that values innovation, efficiency, and knowledge sharing. Flexibility: Enjoy the benefits of a fully remote role while working in a dynamic, global setting.

Location: Bangkok, Thailand Workplace: remote At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a Avaloq Developers to join one of our clients ' teams. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you. About the Role The successful candidates will be responsible for designing, developing, and implementing software changes within the Avaloq system through parameterization, while collaborating closely with business and technical stakeholders. Key Responsibilities Develop and customize functionality within Avaloq through parameterization. Translate business requirements into technical designs and implementations. Perform unit testing and ensure the quality of software modifications. Collaborate with business users to define project goals, map processes, and provide technical solutions. Support continuous improvement initiatives and contribute to knowledge sharing within the team. Minimum of 2 years’ experience in Avaloq development. Strong knowledge of Oracle databases and PL/SQL. Experience in requirements engineering and solution design. Excellent communication skills and proficiency in English. Knowledge of wealth management or investment banking products is an advantage. Avaloq Certification (ACCP) is a plus. Qualifications Bachelor’s degree (or equivalent) in Computer Science, Engineering, or a related field. Additional software or programming experience beyond Avaloq parameterization is considered beneficial. Why Join Us Exciting international projects: Work with global teams and clients in the fintech and banking domain. Professional growth: Gain hands-on experience in advanced Avaloq development and financial technology. Long-term opportunity: Initial 6-month contract with a strong likelihood of extension. Collaborative environment: Join a supportive, high-performing team that values innovation, efficiency, and knowledge sharing. Flexibility: Enjoy the benefits of a fully remote role while working in a dynamic, global setting.

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 Reinforcement learning (RL) is how Claude learns to reason, write code, and act autonomously over long horizons. This role sits on the team that builds and owns the RL training system: the system that trains our production models and that researchers across Anthropic run their experiments on. The team works closely with research teams across the company on the science and engineering of making RL work at scale. As a Research Engineer on the team, you'll work at the center of RL at Anthropic. You'll have a direct view of how RL training behaves at the frontier because the system you own sits underneath both production and research runs. You will use it with collaborators across research teams to understand what is working, what is fragile, and where the next improvements are. Key responsibilities Build, own, and improve the core RL training system that serves Anthropic's production and research runs Work across the stack (orchestration, environments, training, inference, evaluation) wherever the system needs it Study how RL training behaves at scale and contribute to the research that improves it, in collaboration with teams across Anthropic Implement new training methods as stable, fast, well-tested code Improve the speed and efficiency of RL training and evaluation through profiling, optimization, and benchmarking Make the system easier for researchers to build on, through clean abstractions, clear APIs, and automated testing Debug hard problems across the stack, from a run that has quietly drifted to a distributed systems failure that only shows up at scale Communicate results clearly, in writing and in discussion Minimum qualifications Proficiency in Python and experience working in, debugging, and improving a large ML codebase Experience with large-scale machine learning training (reinforcement learning, pretraining, or post-training) or the systems that support it Experience with at least one modern ML framework (JAX, PyTorch, or similar) Ability to design controlled experiments and reach conclusions you and others can trust Ability to balance research exploration with engineering implementation Strong written and verbal communication skills Care about the societal impacts of your work and are committed to developing safe and beneficial systems Preferred qualifications Experience with reinforcement learning for large language models, in research, production, or both Experience studying training at scale: scaling behavior, training dynamics, or method development on large models Experience with large-scale distributed training systems Familiarity with LLM architectures and training methodologies Experience working close to a frontier training run Experience profiling and optimizing the performance of ML workloads Experience with RL environments, evaluations, or sandboxed code execution Experience with Rust or C++ Enjoy pair programming (we love to pair!) 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: Argentina Uptalent.io is looking for a skilled Remote Job Captain (BIM Specialist) specializing in Architectural Design to lead the delivery of high-quality Revit models for our California-based projects. Key Responsibilities: Experience Level: +5 years of architectural experience. At least +2 years working on U.S.-based projects or directly with U.S. clients using Revit and BIM workflows. Core Responsibilities: Lead production of construction documentation (CDs) in Revit. Coordinate with consultants (structural, MEP, civil) and ensure drawing consistency. Review drawings for technical accuracy, code compliance, and constructability. Manage markups and revisions during DD and CD phases. Support the Project Architect in maintaining project schedules and deliverables. Requirements Bachelor's degree in Architecture, Engineering, or a related field. Minimum of +5 years of professional experience in architectural design with a focus on BIM (Revit) methodologies. At least +2 years working on U.S.-based projects or directly with U.S. clients using Revit and BIM workflows. Proven knowledge of California building codes and regulations. Strong proficiency in Revit, including modeling, documentation, and BIM coordination. Strong communication skills in English, both written and verbal. Ability to work independently and manage multiple tasks effectively. Important: Full availability to work aligned with California business hours (From 12pm to 8pm Argentina time). Must be able to provide a portfolio showcasing U.S.-based projects. Professional, collaborative attitude with the ability to follow direction effectively, adapt to team workflows, and maintain positive communication throughout project execution. Benefits Work for the most exciting companies in the North American Market. Flexible schedules. Work from anywhere. Competitive compensation.

Location: Jeddah, Saudi Arabia; Riyadh, Saudi Arabia; Al Jubail, Saudi Arabia; Al Khobar, Saudi Arabia; Yanbu, Saudi Arabia; Tabuk, Saudi Arabia The Maintenance Engineer – Biomedical is responsible for ensuring the safe, effective, and reliable maintenance of biomedical and clinical equipment, as well as supporting broader facilities maintenance operations across KAUST’s community infrastructure. This role focuses on auditing, monitoring, and verifying the work of service providers, ensuring full compliance with technical, contractual, and safety standards. The engineer will manage both preventive and corrective maintenance activities and contribute to long-term asset lifecycle management. The position requires technical expertise in biomedical systems, asset performance evaluation, compliance with international and local standards, and effective use of CMMS tools (SAP/Maximo). Ensure effective and safe execution of preventive, corrective, and predictive maintenance for biomedical and facility assets. Monitor maintenance activities to ensure alignment with KAUST standards, safety protocols, SOPs, and KPIs. Conduct audits, inspections, and technical reviews to verify service quality and compliance with regulatory standards (JCI, SFDA, CBAHI/SBAHI, IEC, HTM). Support troubleshooting, root cause analysis, and the implementation of corrective and preventive actions. Oversee calibration, maintenance, and performance verification of biomedical equipment in the community medical facility. Maintain accurate asset data in the CMMS (SAP/Maximo) and support lifecycle planning and preventive maintenance strategies. Coordinate with stakeholders and provide regular reports and recommendations to improve service quality and asset reliability. Demonstrate expertise in biomedical equipment calibration, testing, performance verification, and lifecycle management. Requirements Bachelor's degree in Biomedical Engineering or related engineering discipline. Minimum 4–6 years of experience in the maintenance and operation of biomedical systems and general facilities equipment. Advanced knowledge of preventive, corrective, and predictive maintenance methodologies. Strong understanding of biomedical equipment standards, device safety, and infection control protocols. Proficiency in Computerized Maintenance Management Systems (CMMS), preferably SAP or Maximo. Strong technical expertise in biomedical equipment calibration, testing, and lifecycle management. In-depth understanding of international codes and standards related to facilities and medical equipment. Proven track record in contractor management, inspections, audits, and performance monitoring. Hands-on experience in complying with international and local regulations and standards, including: JCI, CBAHI/SBAHI, SFDA, IEC 60601, HTM Certified Maintenance & Reliability Professional (CMRP) - Preferred Biomedical Equipment Technician (BMET) certification - Preferred

Location: San Francisco, CA | New York City, NY 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 We are looking for software engineers to help build safety and oversight mechanisms for our AI systems. As a software engineer on the Safeguards team, you will work to monitor models, prevent misuse, and ensure user well-being. This role will focus on building systems to detect unwanted model behaviors and prevent disallowed use of models. You will apply your technical skills to uphold our principles of safety, transparency, and oversight while enforcing our terms of service and acceptable use policies. We have multiple teams that are currently hiring within Safeguards. Team placement occurs after the interview process, taking into account your interests and experience alongside organizational needs. This flexible approach allows us to match talented engineers where they'll have the greatest impact and growth potential. Responsibilities: Develop monitoring systems to detect unwanted behaviors from our API partners and potentially take automated enforcement actions; surface these in internal dashboards to analysts for manual review Build abuse detection mechanisms and infrastructure Surface abuse patterns to our research teams to harden models at the training stage Build robust and reliable multi-layered defenses for real-time improvement of safety mechanisms that work at scale You may be a good fit if you: Bachelor’s degree in Computer Science, Software Engineering or comparable professional experience Proficiency in at least one programming language such as Python, Java, etc. Ability to work across the stack Strong communication skills and ability to explain complex technical concepts to non-technical stakeholders Strong candidates may also: 8+ years of experience in a software engineering position Have experience with integrity, spam, fraud, or abuse detection and mitigation Have experience building trust and safety detection mechanisms and intervention for AI/ML systems Have experience with prompt engineering, jailbreak attacks, and other adversarial inputs Have worked closely with operational teams to build custom internal tooling 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: $320,000 — $485,000 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: Montreal; Canada; Baku Workplace: remote ABOUT YOU   We are looking for a strategic and hands-on Software Development Director to lead our global software engineering function. You will drive the execution of high-impact technical initiatives and oversee multiple development teams delivering scalable, secure, and innovative products that serve millions of users worldwide.   The ideal candidate is an inspiring leader with deep technical acumen and a proven track record of managing distributed engineering teams. You understand how to balance speed with quality, coach engineering leaders, and foster a culture of accountability, innovation, and excellence.   If you're passionate about driving large-scale software development in a dynamic, product-led environment, and want to shape the future of a growing technology company, we’d love to hear from you.   ABOUT US   Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com. Responsibilities: Define and execute the engineering strategy in alignment with company objectives. Provide architectural and organizational guidance to ensure long-term scalability and success. Lead, mentor, and develop multiple engineering teams, including team leads and senior developers. Establish clear goals and create growth opportunities across a global, distributed team. Ensure high-quality, timely delivery of product and platform initiatives. Continuously optimize workflows, development methodologies, and technical decision-making. Guide the evolution of system architecture, ensuring scalability, performance, and maintainability. Champion the adoption of modern technologies and development practices. Partner closely with Product, QA, DevOps, and executive stakeholders to align priorities, define technical requirements, and maintain a shared roadmap. Identify and mitigate risks across the development lifecycle. Promote best practices in observability, security, testing, and release management. Foster a high-performance culture grounded in transparency, continuous improvement, and a shared commitment to quality and innovation. Qualifications & Skills: 10+ years of experience in software development, including 5+ years in engineering leadership roles. Proven success leading large-scale, cross-functional engineering teams in complex, high-growth environments. Strong expertise in modern architectures, cloud infrastructure (AWS, GCP, or Azure), and microservices. Deep understanding of Agile development methodologies, CI/CD practices, and engineering metrics. Experience managing distributed teams and scaling organizations across multiple geographies. Strong communication and stakeholder management skills, capable of interfacing with technical and non-technical leaders alike. Sharp decision-making and problem-solving ability in high-stakes environments. Fluent in English (written and verbal). Nice to Have: Experience in the gaming, fintech, or platform-as-a-service industries. Familiarity with payments infrastructure, user-facing APIs, or developer tools. Master's degree in Computer Science, Engineering, or related field. Certifications in cloud technologies, Agile practices, or technical leadership. Benefits:We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes medical, dental, and vision, PTO, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.    Equal Employment Opportunity Statement: Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with the Fair Chance Act.   Criminal History Consideration: For the Software Development Director, we will conduct a background check that may include the following: Criminal history check Employment verification Education verification   Relevance to Job Responsibilities: The background check is relevant to this position because of the following role responsibilities: Accessing confidential company data Ensuring compliance with regulatory requirements   Rights Under the Fair Chance Act: Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact careers@xsolla.com.

Location: Dammam, Saudi Arabia; Dubai, United Arab Emirates; Doha, Qatar; Mumbai, India; Delhi, India Eram Talent, a leading Talent Acquisition Consultancy, is currently looking for a Safety Compliance Supervisor specializing in Train/Metro projects. This role is critical in ensuring that all safety and compliance protocols are adhered to during the operation and maintenance of train and metro systems. As the Safety Compliance Supervisor, you will oversee safety programs, conduct inspections, and ensure compliance with local, national, and international safety regulations. Responsibilities Develop, implement, and maintain safety compliance programs and policies for train and metro operations. Conduct regular safety inspections and audits to identify potential safety risks and ensure compliance with regulations. Facilitate safety training sessions for employees and stakeholders involved in train and metro operations. Investigate incidents and accidents, prepare reports, and make recommendations for preventive measures. Monitor safety performance metrics and report findings to management for continuous improvement. Collaborate with engineering, operations, and maintenance teams to ensure adherence to safety standards. Act as a point of contact for safety-related inquiries and concerns among staff and stakeholders. Requirements Bachelor's degree in Occupational Health and Safety, Engineering, or a related field. Minimum of 8 years of experience in safety compliance supervision in the transportation or rail industry. In-depth knowledge of local and international safety regulations related to train and metro operations. Strong leadership and communication skills, with the ability to train and influence others. Experience in conducting safety audits and risk assessments. Proven track record in incident investigation and reporting. Professional certifications in safety management (e.g., NEBOSH, OSHA) are highly desirable. Ability to work collaboratively in a diverse team environment. Willingness to travel to different sites as required.

Role Overview ESS is seeking a motivated and detail-oriented Environmental & Social (E&S) Intern to support our teams in the relevant countries. The intern will assist the Environmental & Social team in implementing and monitoring sustainability initiatives, ensuring compliance with both local regulations and international standards (e.g., IFC Performance Standards, Equator Principles). This is a valuable opportunity for a recent graduate or early-career professional to gain hands-on experience in environmental and social management in the natural resources and infrastructure sectors. Key Responsibilities Support environmental and social baseline data collection and reporting. Assist in monitoring compliance with Environmental and Social Management Plans (ESMP). Contribute to stakeholder engagement activities, including preparation of meeting notes and follow-up actions. Support grievance mechanism tracking and resolution documentation. Assist in the organization and documentation of Environmental, Social, Health & Safety (ESHS) training. Participate in environmental monitoring (water, waste, biodiversity) under supervision. Contribute to drafting progress reports, presentations, and knowledge-sharing materials. Provide administrative and logistical support to the E&S team on site. Qualifications & Requirements Bachelor’s degree (or final year student) in Environmental Science, Social Sciences, Sustainability, or a related field. Strong interest in environmental and social sustainability, with some academic or internship experience preferred. Good communication and writing skills in French ; proficiency in English is an advantage. Knowledge of local Gabonese context and languages is a plus. Strong organizational skills and ability to work in multicultural teams. Willingness to be based in project areas, including rural settings. Key Competencies Analytical and detail-oriented. Eagerness to learn and proactive attitude. Cultural awareness and sensitivity. Ability to work independently under guidance. Benefits Hands-on experience in ESG/E&S management with an international-standard project. Mentorship from experienced Environmental and Social specialists. Opportunity to grow into future roles within ESS’s network and partner organizations.

Location: Jeddah, Saudi Arabia; Riyadh, Saudi Arabia; Al Khobar, Saudi Arabia; Yanbu, Saudi Arabia; Tabuk, Saudi Arabia; Madinah, Saudi Arabia Eram Talent is excited to announce an opening for a Data Program Analyst in Saudi Arabia. In this critical role, you will be responsible for analyzing and managing data programs to support decision-making and operational efficiency. The Program Analyst will transform raw data into actionable insights, helping us measure our impact, improve our programs, and make data-driven decisions. This position requires a strong analytical mindset and the ability to work collaboratively with various teams to enhance data-driven strategies. Key Responsibilities Data Capture & Management - Collect and maintain accurate data from participating startups and program activities. - Ensure completeness, consistency, and reliability of data across multiple programs. - Develop templates and processes for systematic data collection and verification. - Generate ad-hoc reports and data analysis to support strategic planning, business development, and program improvements. - Serve as the primary point of contact for startups regarding all data collection and reporting requirements. Program Support & Analysis Support program managers in planning and executing core activities (bootcamps, workshops, demo days, etc.). Track program delivery against timelines and escalate risks or delays. Contribute to preparation of program briefs, meeting notes, and stakeholder updates. Dashboard Development & Reporting Build and maintain dashboards to track KPIs, startup metrics, and ecosystem impact. Support the preparation of presentations with clear data visualizations and insights Startup Engagement & Program Support Proactively follow up with founders and team members to ensure timely submission of data and reports Support the onboarding of new startups into our data systems and reporting frameworks Requirements Bachelor's degree in Business, Economics, Data Science, or a related field is required. 2–4 years of professional experience in data analysis, program management support, or within startup/innovation ecosystems. Demonstrated ability to manage datasets with an extremely high level of accuracy and attention to detail required Proficiency in SQL, data visualization tools (e.g., Power BI, Tableau), and Excel. Demonstrated ability to manage datasets with an extremely high level of accuracy and attention to detail required. Strong analytical and problem-solving skills with attention to detail. Excellent communication skills, both verbal and written. Ability to work collaboratively in a team environment. Experience with data governance and data management frameworks is a plus. Fluency in English is required; proficiency in Arabic is an advantage.

Location: New York City, NY; New York City, NY | Seattle, WA; 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. You want to build large scale ML systems from the ground up. You care about making safe, steerable, trustworthy systems. As a Research Engineer, you'll touch all parts of our code and infrastructure, whether that's making the cluster more reliable for our big jobs, improving throughput and efficiency, running and designing scientific experiments, or improving our dev tooling. You're excited to write code when you understand the research context and more broadly why it's important. Note: This is an "evergreen" role that we keep open on an ongoing basis. We receive many applications for this position, and you may not hear back from us directly if we do not currently have an open role on any of our teams that matches your skills and experience. We encourage you to apply despite this, as we are continually evaluating for top talent to join our team. You are also welcome to reapply as you gain more experience, but we suggest only reapplying once per year. We may also put up separate, team-specific job postings . In those cases, the teams will give preference to candidates who apply to the team-specific postings, so if you are interested in a specific team please make sure to check for team-specific job postings! You may be a good fit if you: Have significant software engineering experience 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 GPUs, Kubernetes, Pytorch, or OS internals Language modeling with transformers Reinforcement learning Large-scale ETL Representative projects: Optimizing the throughput of a new attention mechanism Comparing the compute efficiency of two Transformer variants Making a Wikipedia dataset in a format models can easily consume Scaling a distributed training job to thousands of GPUs Writing a design doc for fault tolerance strategies Creating an interactive visualization of attention between tokens in a language model 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.

Location: Vilnius, Lithuania Workplace: hybrid At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a AI Engineer to join one of our clients ' teams. If you're looking for an exciting opportunity to grow in an innovative environment, this could be the perfect fit for you. Job Overview We are seeking a talented AI Engineer to maintain and enhance our existing AI-powered solutions built on Kafka, AWS, and Large Language Models (LLMs). You will play a critical role in ensuring the reliability, scalability, and performance of our systems while contributing to the development of new features to improve our platform. Key Responsibilities Maintain and optimize existing AI solutions built on Kafka, AWS, and LLMs. Monitor and troubleshoot data pipelines to ensure seamless data flow and system performance. Collaborate with cross-functional teams to integrate AI models into production environments. Enhance LLM-based features for natural language processing tasks such as text analysis and customer interaction automation. Implement and maintain scalable, secure, and cost-efficient solutions on AWS. Ensure high availability and fault tolerance of Kafka-based streaming data systems. Develop and maintain Python-based applications and scripts to support AI and data processing workflows. Contribute to the design and development of new AI-driven features to improve user experience. Stay updated on the latest advancements in AI, LLMs, and cloud technologies to propose innovative solutions. Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. 3+ years of experience in AI engineering, data engineering, or a similar role. Strong proficiency with Apache Kafka for building and maintaining data streaming pipelines. Hands-on experience with AWS services (e.g., EC2, S3, Lambda, SageMaker, ECS). Experience working with Large Language Models (LLMs) and NLP frameworks (e.g., Hugging Face, TensorFlow, PyTorch). Advanced proficiency in Python for developing AI models, data processing scripts, and automation tools. Familiarity with other programming languages (e.g., Java, Scala) is a plus. Knowledge of containerization and orchestration tools (e.g., Docker, Kubernetes). Strong problem-solving skills and ability to work in a fast-paced environment. Excellent communication and teamwork skills. Preferred Qualifications Experience with real-time data processing and event-driven architectures. Familiarity with CI/CD pipelines and infrastructure-as-code (e.g., Terraform, CloudFormation). Previous work in the travel or fintech industry. Understanding of GDPR and data privacy regulations. What We Offer Competitive salary and benefits package. Opportunity to work with cutting-edge AI and cloud technologies. Flexible remote or hybrid work environment. Collaborative and innovative team culture. Professional growth and development opportunities.

Location: İzmir, Turkey; Istanbul, Turkey; Çorlu, Turkey Alumil NextGen is an internship program offering university students who are goal-oriented, eager to learn, and development-focused the opportunity to make a strong start to their careers. Through this program, participants gain real-world professional experience in a dynamic manufacturing and corporate environment across various departments, including Engineering, Architecture, Marketing, Human Resources, Logistics, Finance, and Sales . Throughout the program, students will become part of a team that develops innovative solutions for the construction industry, discover themselves with mentorship support , and expand their professional network . As a NextGen Intern, you will... Make an Impact You will contribute to Alumil Ege's business objectives by taking part in real business projects, and directly assume a role in tasks such as analysis, design, and process support. Gain Valuable Skills You will enhance both your technical and soft skills through hands-on learning and training sessions, strengthening areas like problem-solving, communication, teamwork, and project ownership . Build Your Professional Network You will connect with professionals from different departments and participate in team events, workshops, and company organizations. Learn from Your Mentors You will be paired with an experienced mentor who will guide you, support your development, and help you shape your career goals. Experience Different Fields You will gain insight into the various functions of our organization, discovering how interdepartmental collaboration works and how shared success is achieved. Innovate and Grow We encourage you to think creatively, share your ideas, and develop new approaches. Innovation starts with curiosity, and innovation drives progress—your perspective is important to us. Job Description: Project Participation: Actively participate in real-world business projects and assignments, including tasks such as analysis, design, process improvement, and operational support. Business Enhancement: Contribute to the development of innovative solutions for the construction industry with creative ideas and approaches. Process Support: Fulfill supporting duties that help the assigned department's daily workflow and aid in achieving business goals. Learning and Development: Attend technical and soft-skill training sessions, workshops, and internal company organizations offered throughout the program. Communication and Collaboration: Communicate effectively with professionals from various departments and participate in cross-functional collaboration projects. Mentorship: Seek guidance from the assigned mentor, establish and follow personal development goals based on regular feedback. Requirements Must be a final-year student in an undergraduate or graduate program, OR a recent graduate who has graduated no more than 2 years ago . Must be studying/have graduated from one of the following or related disciplines: Engineering (Mechanical, Civil, Industrial, etc.) Architecture Business Administration / Economics Marketing / Communications Logistics / Supply Chain Human Resources Benefits Financial Terms: The NextGen Internship Program offers a paid internship opportunity . Interns will be subject to the company's established compensation policies for the duration of their tenure. Social Advantages: Our interns are entitled to full access to all social rights and benefits offered to Alumil employees throughout the program (e.g., meal services, transportation etc.). At ALUMIL we are building excellence every day. Alumil has more than 30 years of experience in the production of architectural aluminium systems and 3.000 employees. We are one of the most advanced companies globally owning state-of-the art production lines in our 12 factories in Europe. Alumil, is a family-owned business that also embraces all of its employees like family. Our culture's primary focus is on integrity, team spirit, initiative, loyalty and "meraki" (spirited work). ALUMIL opposes any discrimination, unequal treatment and violation of human rights and ensures the provision of equal opportunities at work. When hiring and evaluating employees, it does not discriminate based on race, gender, religion, age, disability, sexual orientation, nationality, political beliefs or social status.

Location: Berlin Workplace: OnSite ABOUT PEEC AI Peec AI is the analytics platform for AI search. People increasingly discover products and make buying decisions through ChatGPT, Claude, Gemini, and Google's AI Overviews instead of traditional search, and most brands have no idea where they show up in those answers. Peec gives marketing, SEO, and growth teams the data to see exactly that: how visible their brand is across AI platforms, how they compare to competitors, and where to win. We are defining this category, and the market is moving with us. Peec is a Series A company backed by 20VC and Singular, that went from $0 to $15M ARR in 18 months, with a 100+ person team across our Berlin HQ and our New York office. WHAT YOU’LL DO - Take ownership of complex frontend features end-to-end - from scoping and architecture to polished, high-quality delivery - Push the boundaries of what’s possible with modern frontend technologies and build pixel-perfect, visually refined UI that matches design specs down to the smallest detail - Collaborate closely with Product, Design, and Backend teams to translate ideas into elegant, performant user interfaces, ensuring a world-class user experience - Maintain high standards for code quality, accessibility, and performance through thoughtful reviews, testing, and best practices - Contribute to evolving our frontend architecture, component library, and design system to support rapid iteration at scale WHAT WE’RE LOOKING FOR: - 5+ years of professional frontend engineering experience, ideally in fast-paced startup or high-growth environments - Deep expertise in TypeScript, React, and modern frontend tooling - with a proven track record of shipping high-quality user-facing products - Experience contributing to, maintaining or building a shared component library or design system - A strong portfolio or GitHub showcasing frontend development expertise - Strong CSS knowledge, professional experience with TailwindCSS and semantic HTML - Exceptional attention to visual detail and a strong eye for design - capable of translating Figma designs into flawless, pixel-perfect interfaces - Strong communication skills and a high sense of ownership - able to operate with autonomy while staying aligned with team goals - Some markers of excellence, which could also be non-work related, like having a high FIDE rating - Genuinely kind, collaborative and hard-working people who make the team better through empathy and openness TECH STACK - Languages: TypeScript, CSS - Frontend: React, Tailwind CSS, Firebase/Firestore BONUS POINTS - Background working on AI products, complex data-heavy UIs, or real-time applications - Familiarity with technologies like Firebase/Firestore and shaping efficient frontend–backend interfaces - Strong architectural ability to design clean, scalable frontend systems - Academic background in Computer Science or a related technical field WHAT WE OFFER - Exciting and challenging work with real impact and ownership at one of Europe’s fastest-growing Series A startups - Regular team events and off-sites - Aggressive equity compensation package - Paid Dinner & Uber home when working late - The most beautiful office space and work environment in Berlin

Location: Berlin Workplace: OnSite ABOUT PEEC AI Peec AI is the analytics platform for AI search. People increasingly discover products and make buying decisions through ChatGPT, Claude, Gemini, and Google's AI Overviews instead of traditional search, and most brands have no idea where they show up in those answers. Peec gives marketing, SEO, and growth teams the data to see exactly that: how visible their brand is across AI platforms, how they compare to competitors, and where to win. We are defining this category, and the market is moving with us. Peec is a Series A company backed by 20VC and Singular, that went from $0 to $15M ARR in 18 months, with a 100+ person team across our Berlin HQ and our New York office. WHAT YOU’LL DO - Take ownership of complex frontend features end-to-end - from scoping and architecture to polished, high-quality delivery - Push the boundaries of what’s possible with modern frontend technologies and build pixel-perfect, visually refined UI that matches design specs down to the smallest detail - Collaborate closely with Product, Design, and Backend teams to translate ideas into elegant, performant user interfaces, ensuring a world-class user experience - Maintain high standards for code quality, accessibility, and performance through thoughtful reviews, testing, and best practices - Contribute to evolving our frontend architecture, component library, and design system to support rapid iteration at scale WHAT WE’RE LOOKING FOR: - 5+ years of professional frontend engineering experience, ideally in fast-paced startup or high-growth environments - Deep expertise in TypeScript, React, and modern frontend tooling - with a proven track record of shipping high-quality user-facing products - Experience contributing to, maintaining or building a shared component library or design system - A strong portfolio or GitHub showcasing frontend development expertise - Strong CSS knowledge, professional experience with TailwindCSS and semantic HTML - Exceptional attention to visual detail and a strong eye for design - capable of translating Figma designs into flawless, pixel-perfect interfaces - Strong communication skills and a high sense of ownership - able to operate with autonomy while staying aligned with team goals - Some markers of excellence, which could also be non-work related, like having a high FIDE rating - Genuinely kind, collaborative and hard-working people who make the team better through empathy and openness TECH STACK - Languages: TypeScript, CSS - Frontend: React, Tailwind CSS, Firebase/Firestore BONUS POINTS - Background working on AI products, complex data-heavy UIs, or real-time applications - Familiarity with technologies like Firebase/Firestore and shaping efficient frontend–backend interfaces - Strong architectural ability to design clean, scalable frontend systems - Academic background in Computer Science or a related technical field WHAT WE OFFER - Exciting and challenging work with real impact and ownership at one of Europe’s fastest-growing Series A startups - Regular team events and off-sites - Aggressive equity compensation package - Paid Dinner & Uber home when working late - The most beautiful office space and work environment in Berlin

Location: Berlin Workplace: OnSite ABOUT PEEC AI Peec AI is the analytics platform for AI search. People increasingly discover products and make buying decisions through ChatGPT, Claude, Gemini, and Google's AI Overviews instead of traditional search, and most brands have no idea where they show up in those answers. Peec gives marketing, SEO, and growth teams the data to see exactly that: how visible their brand is across AI platforms, how they compare to competitors, and where to win. We are defining this category, and the market is moving with us. Peec is a Series A company backed by 20VC and Singular, that went from $0 to $15M ARR in 18 months, with a 100+ person team across our Berlin HQ and our New York office.   WHAT YOU’LL DO - Take ownership of complex product features end-to-end - from architecture and data modeling to beautiful and performant user interfaces - Translate product ideas and designs into pixel-perfect, production-grade UI using modern frontend frameworks and component libraries - Work closely with Product, Design, and Engineering to define scope, shape technical direction, and deliver features that delight users - Contribute to and evolve both our backend infrastructure and frontend design system, ensuring consistency, scalability, and developer velocity - Push the boundaries of what’s possible across the stack - improving developer experience, introducing new capabilities, and driving innovation WHAT WE’RE LOOKING FOR - 5+ years of professional fullstack engineering experience - Deep expertise in TypeScript, React, Tailwind CSS and proven ability to deliver high-quality features across both frontend and backend - Strong architectural instincts and ability to design clean, maintainable, and scalable systems end-to-end - Experience designing and implementing APIs (REST, GraphQL, or gRPC) and integrating them seamlessly into polished user interfaces - Strong communication skills and a high sense of ownership - able to work autonomously while staying tightly aligned with team goals - Some markers of excellence, which could also be non-work related, like having a high FIDE rating - Most importantly: we care deeply about working with genuinely kind, collaborative, and hard-working people who make the team better through empathy and openness   TECH STACK - Languages: TypeScript - Backend: GCP, Cloud Functions, Cloud Tasks, RabbitMC, Firestore, PostgreSQL, Elasticsearch - Frontend: React, shadcn/ui, Tailwind CSS - AI Models: OpenAI, Claude, Perplexity, Gemini, Llama, etc. BONUS POINTS - Active contributions to open-source projects - Deployed side/hobby projects that we can check out - Experience in starting a company or working at a top-tier high-growth startup   WHAT WE OFFER - Exciting and challenging work with real impact and ownership at one of Europe’s fastest-growing Series A startups - Regular team events and off-sites - Aggressive equity compensation package - Paid Dinner & Uber home when working late - The most beautiful office space and work environment in Berlin

Location: Berlin Workplace: OnSite ABOUT PEEC AI Peec AI is the analytics platform for AI search. People increasingly discover products and make buying decisions through ChatGPT, Claude, Gemini, and Google's AI Overviews instead of traditional search, and most brands have no idea where they show up in those answers. Peec gives marketing, SEO, and growth teams the data to see exactly that: how visible their brand is across AI platforms, how they compare to competitors, and where to win. We are defining this category, and the market is moving with us. Peec is a Series A company backed by 20VC and Singular, that went from $0 to $15M ARR in 18 months, with a 100+ person team across our Berlin HQ and our New York office. WHAT YOU’LL DO - Take ownership of complex product features end-to-end - from architecture and data modeling to beautiful and performant user interfaces - Translate product ideas and designs into pixel-perfect, production-grade UI using modern frontend frameworks and component libraries - Work closely with Product, Design, and Engineering to define scope, shape technical direction, and deliver features that delight users - Contribute to and evolve both our backend infrastructure and frontend design system, ensuring consistency, scalability, and developer velocity - Push the boundaries of what’s possible across the stack - improving developer experience, introducing new capabilities, and driving innovation WHAT WE’RE LOOKING FOR - 5+ years of professional fullstack engineering experience - Deep expertise in TypeScript, React, Tailwind CSS and proven ability to deliver high-quality features across both frontend and backend - Strong architectural instincts and ability to design clean, maintainable, and scalable systems end-to-end - Experience designing and implementing APIs (REST, GraphQL, or gRPC) and integrating them seamlessly into polished user interfaces - Strong communication skills and a high sense of ownership - able to work autonomously while staying tightly aligned with team goals - Some markers of excellence, which could also be non-work related, like having a high FIDE rating - Most importantly: we care deeply about working with genuinely kind, collaborative, and hard-working people who make the team better through empathy and openness TECH STACK - Languages: TypeScript - Backend: GCP, Cloud Functions, Cloud Tasks, RabbitMC, Firestore, PostgreSQL, Elasticsearch - Frontend: React, shadcn/ui, Tailwind CSS - AI Models: OpenAI, Claude, Perplexity, Gemini, Llama, etc. BONUS POINTS - Active contributions to open-source projects - Deployed side/hobby projects that we can check out - Experience in starting a company or working at a top-tier high-growth startup WHAT WE OFFER - Exciting and challenging work with real impact and ownership at one of Europe’s fastest-growing Series A startups - Regular team events and off-sites - Aggressive equity compensation package - Paid Dinner & Uber home when working late - The most beautiful office space and work environment in Berlin

Location: San Francisco, CA | New York City, NY 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 We are looking for ML Engineers and Research Engineers to help detect and mitigate misuse of our AI systems. As a member of the Safeguards ML team, you will build systems that identify harmful use—from individual policy violations to sophisticated, coordinated attacks—and develop defenses that keep our products safe as capabilities advance. You will also work on systems that protect user wellbeing and ensure our models behave appropriately across a wide range of contexts. This work feeds directly into Anthropic's Responsible Scaling Policy commitments. Responsibilities Develop classifiers to detect misuse and anomalous behavior at scale. This includes developing synthetic data pipelines for training classifiers and methods to automatically source representative evaluations to iterate on Build systems to monitor for harms that span multiple exchanges, such as coordinated cyber attacks and influence operations, and develop new methods for aggregating and analyzing signals across contexts Evaluate and improve the safety of agentic products—developing both threat models and environments to test for agentic risks, and developing and deploying mitigations for prompt injection attacks Conduct research on automated red-teaming, adversarial robustness, and other research that helps test for or find misuse You may be a good fit if you Have 4+ years of experience in ML engineering, research engineering, or applied research, in academia or industry Have proficiency in Python and experience building ML systems Are comfortable working across the research-to-deployment pipeline, from exploratory experiments to production systems Are worried about misuse risks of AI systems, and want to work to mitigate them Have strong communication skills and ability to explain complex technical concepts to non-technical stakeholders Strong candidates may also have experience with Language modeling and transformers Building classifiers, anomaly detection systems, or behavioral ML Adversarial machine learning or red-teaming Interpretability or probes Reinforcement learning High-performance, large-scale ML systems 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.