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Location: San Francisco, CA, New York City, NY, Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We're looking for seasoned iOS engineers to join our Claude mobile product team and help build apps that harness the transformative power of advanced language models. Our mission is to unlock the potential of advanced AI through elegant, user-friendly mobile applications that put unprecedented capabilities at users' fingertips. You will work with a talented team of engineers, researchers, design and Product teams to design and implement key components of our products. Join us in this exciting mission to transform how people engage with technology and unlock new realms of human potential. Key r esponsibilities Architect and implement cutting-edge iOS applications Develop novel solutions leveraging AI technologies Optimize performance at all levels of the mobile stack Champion best practices in mobile development Obsessive attention to detail and app experience Contribute to backend systems as needed Minimum qualifications Expertise in Swift, UIKit, SwiftUI, and iOS frameworks Proficiency with the latest mobile platform capabilities and intricacies Practical experience with full-stack development and comfort working with backend technologies A track record of shipping impactful, high-adoption mobile applications Strong communication and mentorship skills Thrived in a fast-paced, collaborative environment and and enjoy working closely with cross functional partners and teammates Preferred qualifications 0-to-1 experience building successful products in early-stage environments Experience building applications that utilize modern ML/AI technology 3D graphics, visual effects, and audio and video streaming on mobile A vision for the future of human-machine interaction and a drive to make that vision a reality 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 — $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: 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 We're looking for seasoned Android engineers to join our Claude mobile team and help build apps that harness the transformative power of advanced language models. Our mission is to unlock the potential of advanced AI through elegant, user-friendly mobile applications that put unprecedented capabilities at users' fingertips. You will work with a talented team of engineers, researchers, design and Product teams to design and implement key components of our products. Join us in this exciting mission to transform how people engage with technology and unlock new realms of human potential. Key responsibilities Architect and implement cutting-edge Android applications Develop novel solutions leveraging AI technologies Optimize performance at all levels of the mobile stack Champion best practices in mobile development Obsessive attention to detail and app experience Contribute to backend systems as neede Minimum qualifications Expertise in Kotlin, Jetpack Compose, Android SDK and the broader Android ecosystem Proficiency with the latest mobile platform capabilities and intricacies Practical experience with full-stack development and comfort working with backend technologies A track record of shipping impactful, high-adoption mobile applications Strong communication and mentorship skills Thrive in a fast-paced, collaborative environment and enjoy working closely with cross functional partners and teammates Preferred qualifications 0-to-1 experience building successful products in early-stage environments Experience building applications that utilize modern ML/AI technology 3D graphics, visual effects, and audio and video streaming on mobile A vision for the future of human-machine interaction and a drive to make that vision a reality 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 — $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: 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 Team The Security Engineering team protects Anthropic's AI systems and maintains the trust of our users and society. We define the authentication architecture for our training infrastructure, design the cryptographic foundations that protect model weights and training data, and drive the developer security program that shapes how engineers build and ship software. The team works across several areas that collaborate closely: identity and secrets management, developer security and supply chain, infrastructure security, and secure frameworks. You will support one of these areas while contributing across others, with your focus shaped by your strengths and the team's priorities. Responsibilities: Build and maintain identity and secrets management systems, including credential issuance, rotation, and workload authentication across our multi-cloud environments Contribute to cluster security controls including RBAC policies, namespace isolation, workload identity, and pod security Implement and maintain cloud security controls including IAM, network segmentation, VPC architecture, and encryption across our multi-cloud and on-prem environments Design and implement secure development frameworks and libraries that make secure coding the path of least resistance for our engineering teams, including service to service authentication, serialization libraries, and tool proxies. Harden CI/CD pipelines against supply chain attacks through isolated build environments, signed attestations, dependency verification, and automated policy enforcement Identify and remediate security gaps through code review, threat modeling, and hands-on debugging Contribute to continuous cloud security posture management using infrastructure-as-code scanning, misconfiguration detection, and automated remediation You may be a good fit if you have: At least 5 years of software engineering experience implementing and maintaining security-relevant systems in production Bachelor's degree in Computer Science or equivalent industry experience Strong programming skills in Python or at least one systems language such as Go or Rust Experience contributing to cloud security controls A track record of taking ownership of problems end to end, from identifying the issue to shipping and monitoring the fix Clear communication skills and the ability to work collaboratively across engineering teams Low ego and high empathy, with a genuine interest in helping teammates succeed Passion for AI safety and the role security engineering plays in building trustworthy AI systems Strong candidates may also have: Contributions to developer security tooling including SAST, dependency scanning, or secure build infrastructure Familiarity with Kubernetes security primitives including RBAC, namespaces, network policies, and admission controllers Experience with cloud security posture management tooling, infrastructure-as-code security scanning, or automated remediation Experience with network security and isolation techniques including east-west controls, traffic inspection, and cloud network policy Experience with eBPF for security monitoring and enforcement, or developing kernel security policies Experience building secrets management or workload authentication systems, including familiarity with protocols such as OAuth 2.0, OIDC, SAML, or SPIFFE/SPIRE Background building or operating security systems in environments that support research workflows and rapid iteration 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 — $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: Tunis, Tunisia Dentons is designed to be different. We are driven to always be the firm of the future, to challenge the status quo, and to provide holistic business solutions to our clients in new and innovative ways. We are the lightbulb moments. The bold ideas. We are the world's largest global law firm, with 12,000+ people across 80+ countries. Driven by the diverse perspectives of our people, our clients, and our communities, we combine local knowledge with global insight. We are seeking a qualified and experienced Legal Counsel with expertise in Libyan law to join our legal team in Tunis, Tunisia. The successful candidate will play a key role in advising on legal matters involving Libyan jurisdictions, supporting cross-border operations, and ensuring regulatory compliance. This role requires deep knowledge of the Libyan legal system, high professional standards, and a strong ability to operate in a multi-jurisdictional and multicultural environment. Responsibilities Provide accurate and timely legal advice on matters governed by Libyan law, including civil, commercial, administrative, and labor law. Draft, review, and negotiate a variety of legal instruments such as contracts, MoUs, joint venture agreements, partnership agreements, and compliance documentation. Monitor legislative and regulatory developments in Libya, interpret their implications, and advise internal stakeholders accordingly. Liaise effectively between Tunis-based operations and Libyan clients, authorities, and counterparties, ensuring transparent and culturally appropriate communication. Support interactions with Libyan ministries, regulatory authorities, licensing bodies, and legal institutions. Assist in mitigating legal risks, managing disputes, and supporting internal compliance processes aligned with both Libyan and Tunisian regulations. Contribute to internal training and awareness sessions related to Libyan legal frameworks. Requirements Required Experience: Law degree from a recognized university; postgraduate legal qualifications are an advantage. Admitted to practice law in Libya, or with demonstrated and verifiable expertise in Libyan legal matters. Minimum of 3 years' legal experience, ideally including cross-border or in-house advisory work with a focus on Libyan jurisdiction. Fluency in Arabic and English is essential; French is an asset. Strong legal drafting, analytical, and negotiation skills. Excellent communication skills with a culturally sensitive and professional demeanor. Demonstrated ability to work independently, manage multiple priorities, and meet tight deadlines. Strong understanding of the legal, political, and economic landscape in Libya. Key Competencies: Legal Research & Analysis: Ability to interpret and apply Libyan legislation to complex legal questions. Contract Law & Negotiation: Skilled in drafting and negotiating commercial and partnership agreements. Regulatory Compliance: Strong knowledge of compliance requirements within Libyan jurisdiction. Cross-Border Legal Advisory: Capable of navigating legal systems across Libya and Tunisia. Stakeholder Engagement: Able to interact credibly with internal stakeholders, clients, and government authorities. Risk Management: Proactively identify, assess, and manage legal risks in multi-jurisdictional environments. Communication: High-level verbal and written communication skills in Arabic and English. Cultural & Political Awareness: Sensitivity to operating in volatile or politically complex environments. Personal Skills and Attributes: High level of integrity, professionalism, and confidentiality. Strong interpersonal skills with the ability to collaborate across geographies and functions. Detail-oriented with strong analytical and critical thinking skills. Proactive and self-motivated, capable of working independently with minimal supervision. Ability to remain resilient under pressure and manage competing priorities. Demonstrates judgment and discretion in handling sensitive legal matters. A genuine interest in regional legal developments and international legal practice. The above is intended to describe the general content of and requirements for the performance of this job.  It is not to be construed as an exhaustive statement of essential functions, responsibilities or requirements. Benefits Remuneration and benefits package will reflect the successful candidates experience and competencies.

Location: Tunis, Tunisia Dentons is designed to be different. We are driven to always be the firm of the future, to challenge the status quo, and to provide holistic business solutions to our clients in new and innovative ways. We are the lightbulb moments. The bold ideas. We are the world's largest global law firm, with 12,000+ people across 80+ countries. Driven by the diverse perspectives of our people, our clients, and our communities, we combine local knowledge with global insight. As part of its strategic growth, our firm is looking to recruit a highly skilled and business-oriented Corporate/M&A Lawyer to join our expanding Corporate/Mergers & Acquisitions department. The ideal candidate will provide high-quality legal services to a demanding client base, including national and multinational corporations, and will play an active role in managing complex corporate transactions and legal structuring projects. This is a career-development role with strong growth prospects for high performers. Responsibilities Client Advisory & Portfolio Management Serve as the primary legal advisor for a portfolio of corporate clients Provide strategic and operational legal support on day-to-day matters and long-term planning Corporate Structuring & Entity Formation Advise on company formation, legal structuring, and corporate governance frameworks Assist in setting up legal entities and advising on local and cross-border structuring Transaction Management Support clients throughout all stages of M&A transactions and corporate projects: Conduct legal due diligence Draft and negotiate Letters of Intent (LoIs), MoUs, protocols, and term sheets Structure partnership agreements, shareholders’ agreements, and investment contracts Advise on fundraising rounds, exits, and corporate reorganizations Contractual Work Draft, review, and negotiate a wide range of commercial and corporate agreements Ensure contracts are legally sound and aligned with business goals Legal Research & Opinions Conduct thorough legal research on corporate, financial, and tax law topics Draft high-quality legal memoranda, regulatory analyses, and advisory opinions Requirements Required Experience: Minimum 5 years of experience in Corporate/M&A law, preferably in a reputable law firm Deep expertise in corporate law, with working knowledge of tax, financial, and banking law Demonstrated experience handling M&A transactions from due diligence to post-closing Excellent drafting skills in complex legal documents in both Arabic and French/English Strong analytical skills, ability to summarize legal issues and offer actionable advice Capacity to manage multiple projects and client demands simultaneously Full proficiency in Arabic, French, and English – written and spoken Law degree from a recognized institution; LLM or international training is an advantage Key Competencies: Corporate Legal Expertise: Mastery of company law, M&A structuring, and shareholder frameworks Transactional Skills: Proven ability to manage legal aspects of deals, conduct due diligence, and negotiate critical clauses Drafting and Negotiation: Advanced skills in drafting and negotiating contracts and corporate documents Analytical Thinking: Strong legal reasoning, interpretation of laws, and application to practical situations Client Management: Ability to build and maintain trust-based relationships with high-value clients Multijurisdictional Awareness: Familiarity with cross-border structures and regulatory regimes Time and Case Management: Ability to prioritize workload across multiple matters and tight deadlines Collaboration: Comfortable working in multi-disciplinary teams with other lawyers, finance professionals, and operations Personal Skills and Attributes: Detail-oriented with strong organizational and project management capabilities Proactive and solution-focused with a commercial mindset High level of professionalism, discretion, and accountability Culturally aware, with the ability to engage with diverse stakeholders Resilient under pressure and adaptable to fast-paced environments Committed to continuous professional development and legal innovation Strong interpersonal skills – approachable, respectful, and client-focused The above is intended to describe the general content of and requirements for the performance of this job.  It is not to be construed as an exhaustive statement of essential functions, responsibilities or requirements. Benefits Remuneration and benefits package will reflect the successful candidates experience and competencies.

Location: Paphos, Cyprus About Us INEX is a real estate development company delivering high-quality residential and commercial projects in Paphos, Cyprus. We are committed to excellence in design, engineering, and construction execution. We are looking for a dedicated Quality Control Engineer to ensure that all works on site meet our high standards of quality and precision. Role Overview The Quality Control Engineer will be responsible for overseeing the quality of construction works, ensuring compliance with approved design documentation and best industry practices. The role involves close collaboration with contractors, installers, decorators, and subcontractors, as well as regular reporting to the Project Manager. Key Responsibilities Quality Control: Inspect and verify that all executed works comply with the latest approved design documentation and quality standards. Documentation Management: Ensure that all contractors, installers, and subcontractors on site are working with the most up-to-date design and technical documentation. Technical Guidance: Provide support and clarification to contractors/subcontractors when technical issues arise related to design interpretation or construction methods. Problem-Solving: Propose practical and effective technological solutions for materials application and construction challenges. Hidden Works Verification: Ensure that all works to be covered by subsequent layers (hidden works) are inspected, tested, and documented before proceeding. Inspection Planning: Schedule and oversee all necessary inspections, tests, and witness points as per the project plan. Reporting: Prepare weekly quality reports for the Project Manager, outlining project status, quality observations, and issues requiring attention. Digital Tools: Use quality management and control software (e.g., PlanRadar or equivalent) for issue tracking, inspections, and documentation. Requirements Education: University degree in Architecture or Civil Engineering . Experience: Minimum 5 years of experience in Chief engineer/ Quality control/assurance roles in residential construction. Technical Expertise: Strong knowledge of construction processes, materials, and best practices. Software Skills: Familiarity with quality management platforms (PlanRadar or similar). Languages: Strong spoken and written English (Russian and / or Greek is an advantage). Strong attention to detail and ability to work both independently and as part of a multidisciplinary team. Compensation Competitive salary package based on qualifications and experience. Performance-related bonuses based on quality and project milestones. Opportunities for professional development within a growing organization. 21 days paid vacation days per year 40 working hours paid sick leave days per year Public holiday in accordance with the Cyprus Public Holiday list

Location: Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | 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. Anthropic is at the forefront of AI research, dedicated to developing safe, ethical, and powerful artificial intelligence. Our mission is to ensure that transformative AI systems are aligned with human interests. We are seeking a Research Engineer to join our Pre-training team, responsible for developing the next generation of large language models. In this role, you will work at the intersection of cutting-edge research and practical engineering, contributing to the development of safe, steerable, and trustworthy AI systems. Key Responsibilities: Conduct research and implement solutions in areas such as model architecture, algorithms, data processing, and optimizer development Independently lead small research projects while collaborating with team members on larger initiatives Design, run, and analyze scientific experiments to advance our understanding of large language models Optimize and scale our training infrastructure to improve efficiency and reliability Develop and improve dev tooling to enhance team productivity Contribute to the entire stack, from low-level optimizations to high-level model design Qualifications: Advanced degree (MS or PhD) in Computer Science, Machine Learning, or a related field Strong software engineering skills with a proven track record of building complex systems Expertise in Python and experience with deep learning frameworks (PyTorch preferred) Familiarity with large-scale machine learning, particularly in the context of language models Ability to balance research goals with practical engineering constraints Strong problem-solving skills and a results-oriented mindset Excellent communication skills and ability to work in a collaborative environment Care about the societal impacts of your work Preferred Experience: Work on high-performance, large-scale ML systems Familiarity with GPUs, Kubernetes, and OS internals Experience with language modeling using transformer architectures Knowledge of reinforcement learning techniques Background in large-scale ETL processes You'll thrive in this role if you: Have significant software engineering experience Are results-oriented with a bias towards flexibility and impact Willingly take on tasks outside your job description to support the team Enjoy pair programming and collaborative work Are eager to learn more about machine learning research Are enthusiastic to work at an organization that functions as a single, cohesive team pursuing large-scale AI research projects Are working to align state of the art models with human values and preferences, understand and interpret deep neural networks, or develop new models to support these areas of research View research and engineering as two sides of the same coin, and seek to understand all aspects of our research program as well as possible, to maximize the impact of your insights Have ambitious goals for AI safety and general progress in the next few years, and you’re working to create the best outcomes over the long-term. Sample Projects: Optimizing the throughput of novel attention mechanisms Comparing compute efficiency of different Transformer variants Preparing large-scale datasets for efficient model consumption Scaling distributed training jobs to thousands of GPUs Designing fault tolerance strategies for our training infrastructure Creating interactive visualizations of model internals, such as attention patterns At Anthropic, we are committed to fostering a diverse and inclusive workplace. We strongly encourage applications from candidates of all backgrounds, including those from underrepresented groups in tech. If you're excited about pushing the boundaries of AI while prioritizing safety and ethics, we want to hear from you! 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: Aberdeen, United Kingdom Location : Offshore Dutch Sector Mobilisation – Wednesday 23rd July Are you a skilled NDT Technician looking for your next opportunity? Join our dynamic team and play a key role in ensuring the safety and integrity of critical assets across industries. Key Responsibilities Perform Magnetic Particle Inspection on Pad eyes Interpret and evaluate test results in accordance with applicable codes and standards Prepare detailed inspection reports and maintain accurate records Requirements Valid NDT certifications (PCN in MPI/MT) Minimum 2 years of hands-on experience in NDT methods Strong attention to detail and commitment to safe Excellent communication and teamwork skills Benefits Competitive pay Opportunities for training and career advancement Supportive and safety-focused work environment

Location: Mexico Location: Remote (must overlap with Pacific/Mountain Time) Industry: Real Estate Investment & Development Schedule: Full‑time Start Date: Immediate About the Role We’re seeking a detail‑oriented Senior Analyst to lead underwriting, financial modeling, and investment analysis for acquisition and development projects. You’ll work closely with the Founder to source deals, build multi‑scenario models, and support capital‑raising initiatives. Job Description Key Responsibilities Acquisition Underwriting : Develop and maintain detailed financial models (multi‑scenario, dynamic, investor‑facing); underwrite acquisition, renovation, lease‑up, and disposition strategies; run DSCR, IRR, equity multiple, sensitivity, and breakeven analyses. Market Research & Comps : Research submarket trends, comparable rents/sales, demographics, and policy factors; synthesize findings into memos and deal packages. Due Diligence & Transaction Support : Assist with LOIs, PSAs, and closings through underwriting, document review, and data analysis; coordinate with brokers, lenders, attorneys, and consultants; review environmental, title, and zoning reports. Capital Raising Support : Help prepare pitch decks, data rooms, and investor memos; respond to investor queries on underwriting assumptions; maintain databases of historical and pipeline deal metrics. Requirements 5–7+ years in real estate finance (development, acquisitions, underwriting, or private equity) Advanced financial modeling skills in Excel or Google Sheets Proven track record underwriting value‑add, adaptive reuse, or infill housing projects Deep understanding of capital stacks, waterfalls, IRR modeling, and debt scenarios Ability to interpret deal docs, leases, zoning reports, and lender term sheets Strong written and verbal communication Comfortable in an entrepreneurial, fast‑paced environment Alignment with mission‑driven, affordable‑housing development Benefits Performance‑based bonuses tied to deals closed or capital raised Potential equity participation in promote structures or co‑investment Fully remote with required Pacific/Mountain Time overlap Direct mentorship from Founder and leadership exposure

Location: Colombia Location: Remote (must overlap with Pacific/Mountain Time) Industry: Real Estate Investment & Development Schedule: Full‑time Start Date: Immediate About the Role We’re seeking a detail‑oriented Senior Analyst to lead underwriting, financial modeling, and investment analysis for acquisition and development projects. You’ll work closely with the Founder to source deals, build multi‑scenario models, and support capital‑raising initiatives. Job Description Key Responsibilities Acquisition Underwriting : Develop and maintain detailed financial models (multi‑scenario, dynamic, investor‑facing); underwrite acquisition, renovation, lease‑up, and disposition strategies; run DSCR, IRR, equity multiple, sensitivity, and breakeven analyses. Market Research & Comps : Research submarket trends, comparable rents/sales, demographics, and policy factors; synthesize findings into memos and deal packages. Due Diligence & Transaction Support : Assist with LOIs, PSAs, and closings through underwriting, document review, and data analysis; coordinate with brokers, lenders, attorneys, and consultants; review environmental, title, and zoning reports. Capital Raising Support : Help prepare pitch decks, data rooms, and investor memos; respond to investor queries on underwriting assumptions; maintain databases of historical and pipeline deal metrics. Requirements 5–7+ years in real estate finance (development, acquisitions, underwriting, or private equity) Advanced financial modeling skills in Excel or Google Sheets Proven track record underwriting value‑add, adaptive reuse, or infill housing projects Deep understanding of capital stacks, waterfalls, IRR modeling, and debt scenarios Ability to interpret deal docs, leases, zoning reports, and lender term sheets Strong written and verbal communication Comfortable in an entrepreneurial, fast‑paced environment Alignment with mission‑driven, affordable‑housing development Benefits Performance‑based bonuses tied to deals closed or capital raised Potential equity participation in promote structures or co‑investment Fully remote with required Pacific/Mountain Time overlap Direct mentorship from Founder and leadership exposure

Location: Brazil Location: Remote (must overlap with Pacific/Mountain Time) Industry: Real Estate Investment & Development Schedule: Full‑time Start Date: Immediate About the Role We’re seeking a detail‑oriented Senior Analyst to lead underwriting, financial modeling, and investment analysis for acquisition and development projects. You’ll work closely with the Founder to source deals, build multi‑scenario models, and support capital‑raising initiatives. Job Description Key Responsibilities Acquisition Underwriting : Develop and maintain detailed financial models (multi‑scenario, dynamic, investor‑facing); underwrite acquisition, renovation, lease‑up, and disposition strategies; run DSCR, IRR, equity multiple, sensitivity, and breakeven analyses. Market Research & Comps : Research submarket trends, comparable rents/sales, demographics, and policy factors; synthesize findings into memos and deal packages. Due Diligence & Transaction Support : Assist with LOIs, PSAs, and closings through underwriting, document review, and data analysis; coordinate with brokers, lenders, attorneys, and consultants; review environmental, title, and zoning reports. Capital Raising Support : Help prepare pitch decks, data rooms, and investor memos; respond to investor queries on underwriting assumptions; maintain databases of historical and pipeline deal metrics. Requirements 5–7+ years in real estate finance (development, acquisitions, underwriting, or private equity) Advanced financial modeling skills in Excel or Google Sheets Proven track record underwriting value‑add, adaptive reuse, or infill housing projects Deep understanding of capital stacks, waterfalls, IRR modeling, and debt scenarios Ability to interpret deal docs, leases, zoning reports, and lender term sheets Strong written and verbal communication Comfortable in an entrepreneurial, fast‑paced environment Alignment with mission‑driven, affordable‑housing development Benefits Performance‑based bonuses tied to deals closed or capital raised Potential equity participation in promote structures or co‑investment Fully remote with required Pacific/Mountain Time overlap Direct mentorship from Founder and leadership exposure

Location: Argentina Location: Remote (must overlap with Pacific/Mountain Time) Industry: Real Estate Investment & Development Schedule: Full‑time Start Date: Immediate About the Role We’re seeking a detail‑oriented Senior Analyst to lead underwriting, financial modeling, and investment analysis for acquisition and development projects. You’ll work closely with the Founder to source deals, build multi‑scenario models, and support capital‑raising initiatives. Job Description Key Responsibilities Acquisition Underwriting : Develop and maintain detailed financial models (multi‑scenario, dynamic, investor‑facing); underwrite acquisition, renovation, lease‑up, and disposition strategies; run DSCR, IRR, equity multiple, sensitivity, and breakeven analyses. Market Research & Comps : Research submarket trends, comparable rents/sales, demographics, and policy factors; synthesize findings into memos and deal packages. Due Diligence & Transaction Support : Assist with LOIs, PSAs, and closings through underwriting, document review, and data analysis; coordinate with brokers, lenders, attorneys, and consultants; review environmental, title, and zoning reports. Capital Raising Support : Help prepare pitch decks, data rooms, and investor memos; respond to investor queries on underwriting assumptions; maintain databases of historical and pipeline deal metrics. Requirements 5–7+ years in real estate finance (development, acquisitions, underwriting, or private equity) Advanced financial modeling skills in Excel or Google Sheets Proven track record underwriting value‑add, adaptive reuse, or infill housing projects Deep understanding of capital stacks, waterfalls, IRR modeling, and debt scenarios Ability to interpret deal docs, leases, zoning reports, and lender term sheets Strong written and verbal communication Comfortable in an entrepreneurial, fast‑paced environment Alignment with mission‑driven, affordable‑housing development Benefits Performance‑based bonuses tied to deals closed or capital raised Potential equity participation in promote structures or co‑investment Fully remote with required Pacific/Mountain Time overlap Direct mentorship from Founder and leadership exposure

Location: Aachen, Germany; Abu Dhabi, United Arab Emirates; Ahmedabad, India; Alkmaar, Netherlands; Almaty, Kazakhstan; Amsterdam, Netherlands; Athens, Greece; Augsburg, Germany; Austin, United States; Bad Homburg, Germany; Baden-Baden, Germany; Baku, Azerbaijan; Barcelona, Spain; Luxembourg; Belgrade, Serbia; Bergisch Gladbach, Germany; Berlin, Germany; Bernau, Germany; Bielefeld, Germany; Birmingham, United Kingdom; Bishkek, Kyrgyzstan; Bolzano, Italy; Boston, United States; Bramsche, Germany; Bratislava, Slovakia; Bryanston, South Africa; Bucuresti, Romania; Budapest, Hungary; Buenos Aires, Argentina; Cairo, Egypt; Cape Town, South Africa; Chemnitz, Germany; Santiago, Chile; Beijing, China; Chișinău, Moldova, Republic of; Bogota, Colombia; Colombo, Sri Lanka; Copenhagen, Denmark; Darmstadt, Germany; Delhi, India; Djibouti; Dresden, Germany; Dubai, United Arab Emirates; Dublin, Ireland; Düsseldorf, Germany; Emmen, Switzerland; London, United Kingdom; Erevan, Armenia; Essen, Germany; Helsinki, Finland; Frankfurt, Germany; Freiburg, Germany; Geoergsmarienhütte, Germany; Görlizt, Germany; Göttingen, Germany; Greifswald, Germany; Guatemala; Halle, Germany; Hamburg, Germany; Hannover, Germany; Heinsberg, Germany; Ho Chi Minh, Vietnam; Hong Kong, China; Bangalore, India; Jakarta, Indonesia; Tokyo, Japan; Jerusalem, Israel; Johannesburg, South Africa; Karlsruhe, Germany; Mombasa, Kenya; Kiel, Germany; Kirkland, United States; Koln, Germany; Krakow, Poland; Kyiv, Ukraine; Lagos, Nigeria; Lebanon; Leipzig, Germany; Leverkusen, Germany; Lima, Peru; Limassol, Cyprus; Lingen, Germany; Vilnius, Lithuania; Ljubljana, Slovenia; Madrid, Spain; Magdeburg, Germany; Kuala Lumpur, Malaysia; Città Vittoriosa, Malta; Manchester, United Kingdom; Melbourne, Australia; Mexico City, Mexico; Minsk, Belarus; Montevideo, Uruguay; Morocco; Moscow, Russia; Munich, Germany; Münster, Germany Workplace: remote At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a Sales Development Representative (SDR) 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. Key expectations: Reach out to clients’ prospects on their behalf via personalized outreach methodologies and techniques using email and LinkedIn. Identify potential clients in the startup ecosystem, product companies, and businesses needing custom software solutions. Proactive attitude towards new campaign ideas. Responsibilities : Develop and execute a strategic lead generation plan involving a custom approach to prospects. Write B2B messaging for custom outreach campaigns sent via email and LinkedIn. Schedule semi-automated, semi-manual email send-outs. Handle responses: work with objections, schedule appointments, and follow up with prospects. Build long-term, trusting relationships with prospects. Proactively seek new business opportunities in the market. Set up meetings or calls between (prospective) clients and the Business Development Manager. Report weekly sales metrics and performance goals to the sales team and management. Use automation tools (Snov.io, MixMax, etc.) to launch massive outreach campaigns 2 years of experience as an SDR or in a similar client-facing role. Advanced level of English (B2-C1). Experienced in using sales tools, G-suite services, and various CRM systems. Analytical mindset with the ability to interpret data and make data-driven decisions. Excellent communication and interpersonal skills with the ability to engage and build relationships with potential clients. Would be a plus: Experience with popular outreach tools (Snov.io, Apollo, Linkedin Sales navigator, Proxy, etc.)

Location: Argentina; Bogotá, Colombia; Mexico City, Mexico; Tegucigalpa, Honduras; São Paulo, Brazil We are seeking a Revit expert to support the development of a parametric Revit RFA (Revit Family) library for a leading manufacturer of stainless steel foodservice equipment. The project involves creating intelligent and efficient Revit families aligned with manufacturing standards and industry best practices, for eventual upload to a third-party BIM content hosting platform. Responsibilities: Create advanced Revit RFA families for foodservice equipment that are fully parametric and adaptable to user inputs. Develop and link .TXT catalog files to drive type variations from a single RFA file. Follow FCSI Revit Foodservice Equipment Standards in naming, categorization, and family structure. Implement dynamic constraints (e.g., automatically adding legs based on length changes) based on manufacturing logic. Deliver three fully completed RFA + .TXT samples for review before full project rollout. Ensure all deliverables are in Revit 2021 format and ready for upload to a hosting platform. Collaborate with stakeholders to address feedback and iterate on content as needed. Requirements Demonstrated experience building complex, parametric Revit families. Strong understanding of BIM standards, particularly FCSI or other industry-specific guidelines. Proficiency with Revit (2021 or newer) and use of external catalog files (.TXT). Ability to interpret technical product data and apply it to Revit parametrics. Focus on clean modeling practices and ease of use for end-users. Self-motivated and comfortable working independently with defined milestones. Fluent in English and advanced communication skills Previous experience wokring for the U.S Market preferred. Benefits Work for the most exciting companies in the North American Market. Flexible schedules. Work from anywhere. Highly competitive compensation.

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: Anthropic’s performance and scaling teams focus on making the most efficient and impactful use of our compute resources, be it inference or training.  As an Engineering Manager on these teams you will be responsible for ensuring you and your team are identifying and removing bottlenecks, building robust and durable solutions, and maximizing the efficiency of our systems.  You also will help bring clarity, focus, and context to your teams in a fast paced, dynamic environment. Responsibilities: Provide front-line leadership of engineering efforts to improve model performance and scale our inference and training systems Become familiar with the team’s technical stack enough to make targeted contributions as an individual contributor Manage day-to-day execution of the team's work Prioritize the team’s work and manage projects in a highly dynamic, fast paced environment Coach and support your reports in understanding, and pursuing, their professional growth Maintain a deep understanding of the team's technical work and its implications for AI safety You may be a good fit if you: Have 1+ years of management experience in a technical environment, particularly performance or distributed systems Have a background in machine learning, AI, or a similar related technical field Are deeply interested in the potential transformative effects of advanced AI systems and are committed to ensuring their safe development Excel at building strong relationships with stakeholders at all levels Are a quick learner, capable of understanding and contributing to discussions on complex technical topics Have experience managing teams through periods of rapid growth and change Are a quick study: this team sits at the intersection of a large number of different complex technical systems that you’ll need to understand (at a high level of abstraction) to be effective Strong candidates may also have experience with: High performance, large-scale ML systems GPU/Accelerator programming ML framework internals OS internals Language modeling with transformers 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: Japan Are you passionate about empowering clients to take control of their financial future? Join us as a Financial Coach, where you’ll help clients make informed, strategic decisions to build a secure financial foundation and achieve their financial goals—all from the comfort of your own workspace. This flexible, freelance role allows you to set your own hours, making it an excellent way to supplement your current job or private practice. While we prefer local candidates, we welcome qualified applicants who share our vision of providing accessible, high-quality financial guidance. Why Join Us? As a member of our team, you’ll collaborate with other finance professionals to offer clients expert financial coaching, sound planning, and goal-oriented support. Together, we’re helping people navigate their financial journeys with confidence and clarity. What You’ll Do Offer strategic coaching in essential areas, such as cash flow and budgeting, through text and video consultations Assess clients’ financial situations and design customized financial plans tailored to their unique needs and goals Guide clients in making informed, secure financial decisions that align with their short-term needs and long-term aspirations Help clients effectively manage their resources to meet both daily obligations and larger goals, such as saving for retirement or purchasing a home Stay current with financial trends, market changes, and budgeting strategies to offer clients the most relevant coaching Monitor and adjust financial plans as needed, ensuring clients stay on track and adapt to any life changes or shifts in financial goals Why You’ll Love This Role Flexible hours and remote work from anywhere Opportunity to make a real impact in clients’ lives by helping them achieve financial security Collaborative, mission-driven environment with other finance professionals Freedom to innovate and share your expertise on a growing virtual platform If you’re a dedicated Financial Coach eager to guide clients toward financial success, apply today to join us in delivering trusted financial coaching and planning to clients worldwide. Requirements Experience: Proven experience as a Finance Coach, or similar role with a track record of successful client outcomes Education: Bachelor’s degree in Finance or a related field Skills: Strong analytical abilities for interpreting financial data and offering well-grounded, data-based coaching Communication: Proficient in English and local language, with excellent communication, negotiation, and presentation skills Attention to Detail: High level of accuracy, attention to detail, and the ability to simplify complex financial concepts for clients Tech-Savvy: Proficiency with database systems and strong PC skills

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role As a TPU Performance Engineer, you'll be responsible for identifying and addressing performance issues across many different ML systems, including research, training, and inference. A significant portion of this work will involve designing and optimizing kernels for the TPU. You will also provide feedback to researchers about how model changes impact performance. Strong candidates will have a track record of solving large-scale systems problems and low-level optimization. You may be a good fit if you: Have significant experience optimizing ML systems for TPUs, GPUs, or other accelerators Are results-oriented, with a bias towards flexibility and impact Pick up slack, even if it goes outside your job description Enjoy pair programming (we love to pair!) Want to learn more about machine learning research Care about the societal impacts of your work Strong candidates may also have experience with: High performance, large-scale ML systems Designing and implementing kernels for TPUs or other ML accelerators Understanding accelerators at a deep level, e.g. a background in computer architecture ML framework internals Language modeling with transformers Representative projects: Implement low-latency, high-throughput sampling for large language models Adapt existing models for low-precision inference Build quantitative models of system performance Design and implement custom collective communication algorithms Debug kernel performance at the assembly level The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $280,000 — $850,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. 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: Lagos, Nigeria -          Evaluate SME and corporate loan applications by analyzing financial statements, cash flow, business models, and creditworthiness -          Identify and assess key risks (financial, industry, management, collateral) and recommend appropriate mitigants. -          Structure credit facilities in line with the borrower's needs and the bank’s risk appetite, including terms, pricing, and security requirements -          Draft detailed credit proposals or memos with clear justifications, risk analysis, and recommendations for approval. -          Liaise with relationship managers, legal, and risk teams to coordinate customer due diligence, site visits, and validation of submitted documents. -          Monitor assigned portfolio performance, ensure covenant compliance, and flag early warning signs or deterioration in credit quality. -          Ensure all credit evaluations and decisions adhere to internal policies, regulatory guidelines, and credit approval frameworks. -          Assess adequacy and enforceability of collateral, and work with legal to ensure proper documentation and perfection. -          Collaborate with Relationship Managers, Credit Committee, and other internal stakeholders to drive timely and sound credit decisions Requirements -          Proven experience in SME underwriting and credit risk assessment, with at least [3] years of experience in SME/Corporate credit analysis. -          Commercial banking experience as a credit analyst would be a plus -          Strong analytical skills with the ability to interpret financial statements, assess creditworthiness, and make data-driven lending decisions. -          In-depth knowledge of lending regulations, risk management principles, and best practices in underwriting. -          Excellent interpersonal skills, effective communication skills, both verbal and written, with the ability to articulate complex financial concepts to non-financial stakeholders. -          A strategic mindset with a keen focus on portfolio performance and risk management. Benefits You’ll receive competitive compensation and work with amazing people. You’ll work in a beautiful environment with a flat structure and solve complex, real-world challenges. We are the place for you, if You’re excited about technology and the future, and you’re looking for a place to learn and grow. You care a lot about detail and pride yourself in impeccable execution. You are adept at identifying, assessing, mitigating, monitoring and reporting risks, and ensuring controls are working effectively. You are ready to work extremely hard, at a fast pace, to achieve audacious goals. You love to speak up, ask questions and are comfortable challenging anyone or any idea.