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Location: France About the Company Our client is an innovative and fast-growing company in the med-tech sector, developing and distributing patented solutions designed to improve operating-room efficiency, enhance staff ergonomics, support infection control, and standardise workflows in surgical environments. Their product portfolio is trusted by healthcare professionals worldwide and reflects our mission to empower surgeons, surgical teams, and hospitals with smarter, more effective solutions. Role Summary As Sales Manager, you will: ●      Drive the adoption of the product portfolio among orthopaedic surgeons, hospitals, and surgical partners ●      Drive top line revenue growth in the southern French region: Auvergne-Rhône-Alpes, Provence-Alpes-Côte d'Azur, Occitanie and Nouvelle-Aquitaine. ●      Execute the full sales cycle—from lead generation and relationship building to contract negotiation and closure (with Global Sales Director) ●      Collaborate with back office, marketing, product development, quality and logistics teams to deliver integrated, customer-focused solutions ●      This position reports to the Global Sales Director Key Responsibilities ●      Drive and perform territory driven sales. ●      Represent the company at regional trade shows, congresses, and professional events ●      Build and nurture strong, long-term relationships with heads of surgery, hospital administrators and OR decision-makers ●      Develop, execute, and continually refine a regional sales strategy aligned with company goals ●      Conduct product demonstrations and training sessions highlighting key value propositions ●      Report sales performance metrics and forecast effectively ●      Provide market insights and competitive intelligence that inform product development and go-to-market planning Requirements ● Experience: 1-2+ years in sales within med-tech, medical devices, or pharmaceutical industries—preferred exposure to orthopaedics or operating-room technologies ● Motivation andinterestin working with a med-tech company. ●      Proven track record in territory-driven sales, punctuated by quantifiable achievements ●      Strong communication, presentation, and negotiation skills ●      Self-starter with tactical thinking, planning, and organisational capabilities ●      Ability to travel regularly (up to 70%) within your region for client engagements and events ●      Great communication skills in French and English (both speaking and writing) ●      Bachelor’s degree in life sciences, business, engineering, or a related field; advanced degree is a bonus Benefits ●      An exciting role in a mission-driven, innovative med-tech company focused on improving surgeries globally. ●      Tangible opportunity for a clear career path towards a Managerial / Leadership position. ●      Opportunity to work independently. ●      Competitive compensation package with performance-based incentives ●      Company car ●      Supportive culture aligned with values like sustainability, fairness, integrity, and human development ●      Ongoing training, including product, technical, and soft-skills development

Location: United States About the Company Our client is an innovative and fast-growing company in the med-tech sector, developing and distributing patented solutions designed to improve operating-room efficiency, enhance staff ergonomics, support infection control, and standardise workflows in surgical environments. Their product portfolio is trusted by healthcare professionals worldwide and reflects our mission to empower surgeons, surgical teams, and hospitals with smarter, more effective solutions. Role Summary As Sales Manager, you will: ●      Drive the adoption of the product portfolio among orthopaedic surgeons, hospitals, and surgical partners ●      Drive top line revenue growth in the US ●      Execute the full sales cycle—from lead generation and relationship building to contract negotiation and closure (with Global Sales Director) ●      Collaborate with back office, marketing, product development, quality and logistics teams to deliver integrated, customer-focused solutions ●      This position reports to the Global Sales Director Key Responsibilities ●      Drive and perform territory driven sales. ●      Represent the company at regional trade shows, congresses, and professional events ●      Build and nurture strong, long-term relationships with heads of surgery, hospital administrators and OR decision-makers ●      Develop, execute, and continually refine a regional sales strategy aligned with company goals ●      Conduct product demonstrations and training sessions highlighting key value propositions ●      Report sales performance metrics and forecast effectively ●      Provide market insights and competitive intelligence that inform product development and go-to-market planning Requirements Experience: 1-2+ years in sales within med-tech, medical devices, or pharmaceutical industries—preferred exposure to orthopaedics or operating-room technologies ● Motivation andinterestin working with a med-tech company. ●      Proven track record in territory-driven sales, punctuated by quantifiable achievements ●      Strong communication, presentation, and negotiation skills ●      Self-starter with tactical thinking, planning, and organisational capabilities ●      Ability to travel regularly (up to 70%) within your region for client engagements and events ●      Great communication skills in English (both speaking and writing) ●      Bachelor’s degree in life sciences, business, engineering, or a related field; advanced degree is a bonus Benefits An exciting role in a mission-driven, innovative med-tech company focused on improving surgeries globally. ●      Tangible opportunity for a clear career path towards a Managerial / Leadership position. ●      Opportunity to work independently. ●      Competitive compensation package with performance-based incentives ●      Company car ●      Supportive culture aligned with values like sustainability, fairness, integrity, and human development ●      Ongoing training, including product, technical, and soft-skills development

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 Originate new product bets and own them from idea to launch Cut a vague direction down to the leanest real version one 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: 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 needed Originate new product bets and own them from idea to launch Cut a vague direction down to the leanest real version one 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Bucharest, Romania Recruitment & Onboarding: - Manage the end-to-end recruitment process, including the development of recruitment strategies, job postings, candidate sourcing, screening, ︁︀​︂︃︃​︇︉​︆︄interviewing, and reference checks. - Help organize and attend recruitment events, providing logistical and administrative support to enhance talent acquisition efforts. - Enhance the onboarding experience by assisting in developing structured orientation programs, integrating feedback loops to continuously improve processes. Employee Recognition & Engagement: - Act as a point of contact for employee inquiries related to HR related matters. - Support managers in addressing employee performance and conduct issues. - Assist in creating initiatives to improve employee engagement and workplace culture. - Help collect and manage employee feedback through surveys and assist with follow-up actions. Benefits Administration: - Assist with benefits enrolment processes and coordinate with third-party benefits providers. - Provide administrative support in gathering data for compensation benchmarking and assist HR leadership in reviewing compensation structures. HR Compliance & Risk Management: - Ensure compliance with local labour laws and regulations. - Maintain and update employee records according to company policies and legal requirements. - Assist in conducting regular audits of HR policies and procedures. Benefits: Medical subscription Trainings Courses Extra days off Flexible work schedule Team buildings / trips Parties / company events Meal vouchers

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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Paphos, Cyprus About Us INEX is a forward-thinking real estate development company focused on delivering high-quality residential and commercial projects across Cyprus. With a reputation for excellence in design and execution, we are growing our team with professionals who share our drive for innovation, precision, and delivery. Role Overview We are looking for a proactive and detail-oriented Junior Project Manager to support the full lifecycle of our residential development projects. The role involves working closely with senior project managers and technical consultants, gaining exposure to all phases of real estate development—from permitting to construction and delivery. Key Responsibilities Support senior project managers in daily coordination and reporting Assist in planning, scheduling, and tracking project milestones and deliverables Communicate with contractors, consultants, suppliers, and authorities Attend site meetings and follow up on execution progress Help prepare technical documentation, tender packages, and compliance reports Monitor timelines, budgets, and site logistics under supervision Maintain project records and filing systems Escalate risks, delays, or quality concerns to the project team Requirements 2–4 years of experience in construction, architecture, or project support Educational background in Architecture, Civil Engineering , or a related discipline Prior experience assisting in the delivery of real estate or construction projects Fluent English (written and spoken); Russian and/or Greek are an advantage Strong organizational and multitasking skills Proficiency with Microsoft Office; knowledge of AutoCAD or project planning tools is a plus Positive attitude, willingness to learn, and strong attention to detail Compensation Competitive salary, depending on experience and qualifications Performance-based milestone bonuses tied to project goals and team contribution Clear path for professional growth into full project management roles Cozy modern office in the center of Paphos

Location: Australia Marketing & Content Strategist (20 hours per week, Remote) Help grow a high-performing design brand with a strong following, real results — and huge opportunity. Sharp, self-driven marketer who knows how to turn ideas into income? I run a well-established interior design and renovation brand with: Strong Instagram presence Solid organic website traffic Successful digital products A new course in development — and big growth goals I’m looking for someone who can step in and help drive revenue through content, smart marketing, and better product visibility. What They’ll Be Doing: Reviewing existing offers, emails, and website pages to boost conversions Writing and repurposing content across Instagram, blog, email, and YouTube Setting up and managing affiliate income streams (Amazon + select brand links) Helping refine and position a new flagship course for launch Advising on content, funnels, and brand partnerships that make sense Making fast, strategic decisions that add value and grow the business About The Ideal Candidates: You’re not just a content creator — you think like a marketer You know how to write with clarity , drive action, and move people from interest to purchase You’re self-motivated , organised, and love making things better You’ve worked with digital products, creators, educators or ecommerce brands You’re confident across content (short-form, long-form), email marketing, and growth strategy You take initiative and don’t need micromanaging — you make things happen About Me: I’m an interior designer, educator, and content creator with a results-driven renovation brand. My work helps renovators and designers plan better homes with less waste, better function, and higher value. I'm focused on smart design, timeless choices, and strong outcomes — and I want my business to reflect that too. Logistics: Remote, part-time (starting 2–3 days/week with potential to grow) Flexible hours, outcome-focused — I care more about results than time at a desk Ideally based in Australia or a time zone that overlaps Requirements Proven experience driving revenue in a content-driven or product-based online business Experience with digital products , courses , or affiliate programs Strong writing and communication skills — you can write a funnel, caption, and blog in my tone Knowledge of basic UX and CRO (conversion rate optimisation) Experience with email marketing (e.g., Klaviyo, Mailchimp, ConvertKit, Flodesk etc.) Demonstrated ability to work independently and take initiative Strong understanding of Instagram, SEO content, and/or YouTube repurposing You’ve worked with (or understand) the lifestyle, design, or interiors space Benefits Work remotely for an exciting company in Australia Flexible schedules. Work from anywhere.

Location: New Zealand Marketing & Content Strategist (20 hours per week, Remote) Help grow a high-performing design brand with a strong following, real results — and huge opportunity. Sharp, self-driven marketer who knows how to turn ideas into income? I run a well-established interior design and renovation brand with: Strong Instagram presence Solid organic website traffic Successful digital products A new course in development — and big growth goals I’m looking for someone who can step in and help drive revenue through content, smart marketing, and better product visibility. What They’ll Be Doing: Reviewing existing offers, emails, and website pages to boost conversions Writing and repurposing content across Instagram, blog, email, and YouTube Setting up and managing affiliate income streams (Amazon + select brand links) Helping refine and position a new flagship course for launch Advising on content, funnels, and brand partnerships that make sense Making fast, strategic decisions that add value and grow the business About The Ideal Candidates: You’re not just a content creator — you think like a marketer You know how to write with clarity , drive action, and move people from interest to purchase You’re self-motivated , organised, and love making things better You’ve worked with digital products, creators, educators or ecommerce brands You’re confident across content (short-form, long-form), email marketing, and growth strategy You take initiative and don’t need micromanaging — you make things happen About Me: I’m an interior designer, educator, and content creator with a results-driven renovation brand. My work helps renovators and designers plan better homes with less waste, better function, and higher value. I'm focused on smart design, timeless choices, and strong outcomes — and I want my business to reflect that too. Logistics: Remote, part-time (starting 2–3 days/week with potential to grow) Flexible hours, outcome-focused — I care more about results than time at a desk Ideally based in Australia or a time zone that overlaps Requirements Proven experience driving revenue in a content-driven or product-based online business Experience with digital products , courses , or affiliate programs Strong writing and communication skills — you can write a funnel, caption, and blog in my tone Knowledge of basic UX and CRO (conversion rate optimisation) Experience with email marketing (e.g., Klaviyo, Mailchimp, ConvertKit, Flodesk etc.) Demonstrated ability to work independently and take initiative Strong understanding of Instagram, SEO content, and/or YouTube repurposing You’ve worked with (or understand) the lifestyle, design, or interiors space Benefits Work remotely for an exciting company in Australia Flexible schedules. Work from anywhere.

Location: Indonesia Marketing & Content Strategist (20 hours per week, Remote) Help grow a high-performing design brand with a strong following, real results — and huge opportunity. Sharp, self-driven marketer who knows how to turn ideas into income? I run a well-established interior design and renovation brand with: Strong Instagram presence Solid organic website traffic Successful digital products A new course in development — and big growth goals I’m looking for someone who can step in and help drive revenue through content, smart marketing, and better product visibility. What They’ll Be Doing: Reviewing existing offers, emails, and website pages to boost conversions Writing and repurposing content across Instagram, blog, email, and YouTube Setting up and managing affiliate income streams (Amazon + select brand links) Helping refine and position a new flagship course for launch Advising on content, funnels, and brand partnerships that make sense Making fast, strategic decisions that add value and grow the business About The Ideal Candidates: You’re not just a content creator — you think like a marketer You know how to write with clarity , drive action, and move people from interest to purchase You’re self-motivated , organised, and love making things better You’ve worked with digital products, creators, educators or ecommerce brands You’re confident across content (short-form, long-form), email marketing, and growth strategy You take initiative and don’t need micromanaging — you make things happen About Me: I’m an interior designer, educator, and content creator with a results-driven renovation brand. My work helps renovators and designers plan better homes with less waste, better function, and higher value. I'm focused on smart design, timeless choices, and strong outcomes — and I want my business to reflect that too. Logistics: Remote, part-time (starting 2–3 days/week with potential to grow) Flexible hours, outcome-focused — I care more about results than time at a desk Ideally based in Australia or a time zone that overlaps Requirements Proven experience driving revenue in a content-driven or product-based online business Experience with digital products , courses , or affiliate programs Strong writing and communication skills — you can write a funnel, caption, and blog in my tone Knowledge of basic UX and CRO (conversion rate optimisation) Experience with email marketing (e.g., Klaviyo, Mailchimp, ConvertKit, Flodesk etc.) Demonstrated ability to work independently and take initiative Strong understanding of Instagram, SEO content, and/or YouTube repurposing You’ve worked with (or understand) the lifestyle, design, or interiors space Benefits Work remotely for an exciting company in Australia Flexible schedules. Work from anywhere.

Location: Philippines Marketing & Content Strategist (20 hours per week, Remote) Help grow a high-performing design brand with a strong following, real results — and huge opportunity. Sharp, self-driven marketer who knows how to turn ideas into income? I run a well-established interior design and renovation brand with: Strong Instagram presence Solid organic website traffic Successful digital products A new course in development — and big growth goals I’m looking for someone who can step in and help drive revenue through content, smart marketing, and better product visibility. What They’ll Be Doing: Reviewing existing offers, emails, and website pages to boost conversions Writing and repurposing content across Instagram, blog, email, and YouTube Setting up and managing affiliate income streams (Amazon + select brand links) Helping refine and position a new flagship course for launch Advising on content, funnels, and brand partnerships that make sense Making fast, strategic decisions that add value and grow the business About The Ideal Candidates: You’re not just a content creator — you think like a marketer You know how to write with clarity , drive action, and move people from interest to purchase You’re self-motivated , organised, and love making things better You’ve worked with digital products, creators, educators or ecommerce brands You’re confident across content (short-form, long-form), email marketing, and growth strategy You take initiative and don’t need micromanaging — you make things happen About Me: I’m an interior designer, educator, and content creator with a results-driven renovation brand. My work helps renovators and designers plan better homes with less waste, better function, and higher value. I'm focused on smart design, timeless choices, and strong outcomes — and I want my business to reflect that too. Logistics: Remote, part-time (starting 2–3 days/week with potential to grow) Flexible hours, outcome-focused — I care more about results than time at a desk Ideally based in Australia or a time zone that overlaps Requirements Proven experience driving revenue in a content-driven or product-based online business Experience with digital products , courses , or affiliate programs Strong writing and communication skills — you can write a funnel, caption, and blog in my tone Knowledge of basic UX and CRO (conversion rate optimisation) Experience with email marketing (e.g., Klaviyo, Mailchimp, ConvertKit, Flodesk etc.) Demonstrated ability to work independently and take initiative Strong understanding of Instagram, SEO content, and/or YouTube repurposing You’ve worked with (or understand) the lifestyle, design, or interiors space Benefits Work remotely for an exciting company in Australia Flexible schedules. Work from anywhere.

Location: Metn, Lebanon Toters is a tech-driven e-commerce and delivery platform committed to transforming the way people shop and receive goods. Within this ecosystem, Toters Trade serves as our B2B solution tailored to the HORECA sector—offering restaurants, cafes, and hospitality businesses a seamless and efficient bulk purchasing experience. By leveraging our technology and logistics infrastructure, we ensure fast deliveries, competitive pricing, and a user-friendly platform that simplifies procurement. We are hiring a Sales Executive to support our growth in this sector. The role will focus on building and maintaining strong client relationships, ensuring customer satisfaction, and assisting in the onboarding and support of new partners. This position plays a key role in expanding our presence in the HORECA market and delivering a smooth experience to our business clients Responsibilities: Identify and approach potential clients in the HORECA market Conduct regular visits to existing clients and support their ordering experience Support in handling inquiries, and follow-ups Monitor customer satisfaction and ensure issue resolution Collect feedback from clients and work cross-functionally to improve offerings Maintain accurate records of client interactions and feedback Collaborate with demand planners and operations for delivery execution Requirements: 1–2 years of sales, ideally in the hospitality or FMCG industry Strong negotiation, communication, and closing skills Organized, with good time management and follow up habits Fluent in Arabic and English Valid driver’s license and access to a vehicle is preferred

Location: multiple locations Role Overview: At Cargoo we are building the infrastructure that makes Freight reliable and scalable. Real-time logistics systems, built in .NET. Problem space: Logistics operations today are still largely: manual reactive fragmented across tools incomplete / late data conflicting constraints real-time decision pressure evolving business rules legacy + new system coexistence We’re building a system that: ingests real-time operational data supports planning & execution decisions adapts to constantly changing constraints Design principles: keep things simple before scalable prefer explicit logic over magic abstractions optimize for change, not perfection avoid “framework-driven architecture” accept that some parts will be ugly — temporarily Tech stack: .NET Vue.JS service-oriented architecture relational + operational data storage cloud-based infrastructure What we expect from engineers: Ability to navigate uncertainty and work in ambiguity Willingness to challenge decisions Focus on outcomes, not just code Understanding of trade-offs and complex systems Preferring ownership over comfort What you wont find here : over-engineering everything upfront unnecessary microservices “clean architecture” for the sake of it process-heavy development If this resonates with you – lets talk! Send us: your LinkedIn / GitHub OR a short message explaining what you’ve built and why it matters

Location: Remote, EMEA Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. We are seeking Support Engineers to provide world-class developer support for anyone experiencing issues or seeking guidance when using Supabase. The support team is globally distributed with a strong focus on minimizing time to fix, and works closely with the product engineering and growth teams. You will: - Provide initial and timely responses to all support cases for a variety of topics, from billing or pre-sales requests to optimization or implementation questions. - Triage support cases including directing users to previous answers, code examples, documentation, or escalating to specific technical or business team members. - Monitor multiple feedback channels, e.g. Github Issues & Discussions (check them here: https://github.com/supabase/supabase/issues). - Identify where internal tooling might be developed or obtained to improve support efficiency. - Reproduce issues, create test cases and improve test coverage, if you have experience with testing. You are: - Experienced in customer support, with 3+ years of experience providing developer support to technical customers. - Proficient in SQL (ideally PostgreSQL). You feel comfortable with complex SQL queries. If you have a database administration experience, it’s a plus. - Excellent communication skills and fluency in English. - Skilled in using Linux/Unix operating systems and the command line. - Experienced working with GitHub Issues and Discussions. - Bonus points if you're familiar with popular JavaScript frameworks like React, Vue, and Svelte and have some experience with Node.js. - Having a degree in Computer Science is a plus too. TIMEZONES & LOGISTICS - It’s a full-time position with a required location in European time zones (we don’t believe in sustainability of overnight shifts). - This position covers Monday → Friday WHAT WE OFFER - Fully Remote We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world. - ESOP Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together. - Tech Allowance Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work. - Health Benefits Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us. - Annual Off-Sites Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year. - Flexible Work We operate asynchronously and trust you to manage your own time. You know what needs to be done and when. - Professional Development Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth. ABOUT THE TEAM Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love. - ~400 team members - 60+ countries - 20+ languages spoken - Over $1B raised (including our $500M Series F) - 540,000+ community members We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.

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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role As a TPU Performance Engineer, you'll be responsible for identifying and addressing performance issues across many different ML systems, including research, training, and inference. A significant portion of this work will involve designing and optimizing kernels for the TPU. You will also provide feedback to researchers about how model changes impact performance. Strong candidates will have a track record of solving large-scale systems problems and low-level optimization. You may be a good fit if you: Have significant experience optimizing ML systems for TPUs, GPUs, or other accelerators Are results-oriented, with a bias towards flexibility and impact Pick up slack, even if it goes outside your job description Enjoy pair programming (we love to pair!) Want to learn more about machine learning research Care about the societal impacts of your work Strong candidates may also have experience with: High performance, large-scale ML systems Designing and implementing kernels for TPUs or other ML accelerators Understanding accelerators at a deep level, e.g. a background in computer architecture ML framework internals Language modeling with transformers Representative projects: Implement low-latency, high-throughput sampling for large language models Adapt existing models for low-precision inference Build quantitative models of system performance Design and implement custom collective communication algorithms Debug kernel performance at the assembly level The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $280,000 — $850,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Team Our team is organized around the north star goal of building an AI scientist – a system capable of solving the long term reasoning challenges and basic capabilities necessary to push the scientific frontier. About the role As a Research Engineer on our team you will work end to end across the whole model stack, identifying and addressing key infra blockers on the path to scientific AGI. Strong candidates should have familiarity with elements of language model training, evaluation, and inference and eagerness to quickly dive and get up to speed in areas they are not yet an expert on. This may include performance optimization, distributed systems, VM/sandboxing/container deployment, and large scale data pipelines. Join us in our mission to develop advanced AI systems pushing the frontiers of science and benefiting humanity. Responsibilities: Design and implement large-scale infrastructure systems to support AI scientist training, evaluation, and deployment across distributed environments Identify and resolve infrastructure bottlenecks impeding progress toward scientific capabilities Develop robust and reliable evaluation frameworks for measuring progress towards scientific AGI. Build scalable and performant VM/sandboxing/container architectures to safely execute long-horizon AI tasks and scientific workflows Collaborate to translate experimental requirements into production-ready infrastructure Develop large scale data pipelines to handle advanced language model training requirements Optimize large scale training and inference pipelines for stable and efficient reinforcement learning You may be a good fit if you: Have 6+ years of highly-relevant experience in infrastructure engineering with demonstrated expertise in large-scale distributed systems Are a strong communicator and enjoy working collaboratively Possess deep knowledge of performance optimization techniques and system architectures for high-throughput ML workloads Have experience with containerization technologies (Docker, Kubernetes) and orchestration at scale Have proven track record of building large-scale data pipelines and distributed storage systems Excel at diagnosing and resolving complex infrastructure challenges in production environments Can work effectively across the full ML stack from data pipelines to performance optimization Have experience collaborating with other researchers to scale experimental ideas Thrive in fast-paced environments and can rapidly iterate from experimentation to production Strong candidates may also have: Experience with language model training infrastructure and distributed ML frameworks (PyTorch, JAX, etc.) Background in building infrastructure for AI research labs or large-scale ML organizations Knowledge of GPU/TPU architectures and  language model inference optimization Experience with cloud platforms (AWS, GCP) at enterprise scale Familiarity with VM and container orchestration. Experience with workflow orchestration tools and experiment management systems History working with large scale reinforcement learning Comfort with large scale data pipelines (Beam, Spark, Dask, …) 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Team Our team is organized around the north star goal of building an AI scientist – a system capable of solving the long term reasoning challenges and basic capabilities necessary to push the scientific frontier. Our team likes to think across the whole model stack. Currently the team is focused on improving models' abilities to use computers – as a laboratory for long horizon tasks and a key blocker to many scientific workflows. About the role As a Research Engineer on our team you will work end to end, identifying and addressing key blockers on the path to scientific AGI. Strong candidates should have familiarity with language model training, evaluation, and inference, be comfortable triaging research ideas and diagnosing problems and enjoy working collaboratively. Familiarity with performance optimization, distributed systems, vm/sandboxing/container deployment, and large scale data pipelines is highly encouraged. Join us in our mission to develop advanced AI systems that are both powerful and beneficial for humanity. Responsibilities: Working across the full stack to identify and remove bottlenecks preventing progress toward scientific AGI Develop approaches to address long-horizon task completion and complex reasoning challenges essential for scientific discovery Scaling research ideas from prototype to production Create benchmarks and evaluation frameworks to measure model capabilities in scientific workflows and computer use Implement distributed training systems and performance optimizations to support large-scale model development You may be a good fit if you: Have 8+ years of ML research experience Are familiar with large scale language model training, evaluation, and inference pipelines Enjoy obsessively iterating on immediate blockers towards longterm goals Thrive working collaboratively to solve problems Have expertise in performance optimization and distributed computing systems Show strong problem-solving skills and ability to identify technical bottlenecks in complex systems Can translate research concepts into scalable engineering solutions Have a track record of shipping ML systems that tackle challenging multi-step reasoning problems Strong candidates may also have: Expertise with performance optimization for language model inference and training Experience with computer use automation and agentic AI systems A history working on reinforcement learning approaches for complex task completion Knowledge of containerization technologies (Docker, Kubernetes) and cloud deployment at scale Demonstrated ability to work across multiple domains (language modeling, systems engineering, scientific computing) Have experience with VM/sandboxing/container deployment and large-scale data processing Experience working with large scale data problem solving and infrastructure Published research or practical experience in scientific AI applications or long-horizon reasoning 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.