Вакансии

Location: Zürich, CH 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 production models undergo sophisticated post-training processes to enhance their capabilities, alignment, and safety. As a Research Engineer on our Post-Training team, you'll train our base models through the complete post-training stack to deliver the production Claude models that users interact with. You'll work at the intersection of cutting-edge research and production engineering, implementing, scaling, and improving post-training techniques like Constitutional AI, RLHF, and other alignment methodologies. Your work will directly impact the quality, safety, and capabilities of our production models. Note: For this role, we conduct all interviews in Python. This role may require responding to incidents on short-notice, including on weekends. Responsibilities: Implement and optimize post-training techniques at scale on frontier models Conduct research to develop and optimize post-training recipes that directly improve production model quality Design, build, and run robust, efficient pipelines for model fine-tuning and evaluation Develop tools to measure and improve model performance across various dimensions Collaborate with research teams to translate emerging techniques into production-ready implementations Debug complex issues in training pipelines and model behavior Help establish best practices for reliable, reproducible model post-training You may be a good fit if you: Thrive in controlled chaos and are energised, rather than overwhelmed, when juggling multiple urgent priorities Adapt quickly to changing priorities Maintain clarity when debugging complex, time-sensitive issues Have strong software engineering skills with experience building complex ML systems Are comfortable working with large-scale distributed systems and high-performance computing Have experience with training, fine-tuning, or evaluating large language models Can balance research exploration with engineering rigor and operational reliability Are adept at analyzing and debugging model training processes Enjoy collaborating across research and engineering disciplines Can navigate ambiguity and make progress in fast-moving research environments Strong candidates may also: Have experience with LLMs Have a keen interest in AI safety and responsible deployment We welcome candidates at various experience levels, with a preference for senior engineers who have hands-on experience with frontier AI systems. However, proficiency in Python, deep learning frameworks, and distributed computing is required for this role. 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: Zurich Workplace: OnSite Blockstream https://blockstream.com/ was founded in 2014 by Dr. Adam Back https://en.wikipedia.org/wiki/Adam_Back and a group of fellow cryptographers and engineers who are passionate about Bitcoin and its potential to change the world. Today, Blockstream is the leading Bitcoin company, providing cutting-edge infrastructure solutions for enterprises, institutions, and individual Bitcoin users. We develop industry-leading Bitcoin self-custody solutions, Bitcoin-based financial products, second-layer scaling technologies, and enterprise-grade blockchain infrastructure. We are seeking a DevOps Engineer, responsible for building, automating, and operating secure blockchain and digital asset infrastructure for enterprise and institutional clients. This role focuses on deploying and operating production-grade platforms using infrastructure-as-code, automation, and security-first practices tailored for regulated financial services environments. Within the Service & Enterprise Solutions organization, the DevOps Engineer works closely with Solution Architects, Delivery, Product, and Engineering teams to build and operate resilient infrastructure. This role ensures blockchain solutions are secure, scalable, observable, and operationally sound for banking and institutional environments. What You’ll Be Doing (Responsibilities): - Build and operate cloud infrastructure for blockchain platforms in banking, custody, payments, and digital asset environments - Design, implement, and maintain CI/CD pipelines for automated deployment, testing, and release management - Deploy and manage infrastructure using infrastructure-as-code tools such as Terraform, Ansible, or CloudFormation - Operate containerized applications using Docker and Kubernetes - Configure and manage environments across AWS, Azure, hybrid, and on-premise deployments - Implement security hardening, secrets management, encryption, and access controls - Build and maintain monitoring, logging, and alerting systems using tools such as Prometheus, Grafana, ELK, or CloudWatch - Support production deployments, go-live activities, and incident response - Collaborate with Solution Architects to ensure infrastructure meets security, compliance, and architectural requirements - Contribute to reusable infrastructure patterns, automation frameworks, and operational documentation WHAT WE LOOK FOR IN YOU (REQUIRED QUALIFICATIONS): - 3–6 years of experience in DevOps, platform engineering, SRE, or infrastructure operations roles - Hands-on experience building and operating infrastructure in fintech, financial services, or other regulated environments - Strong experience with cloud platforms (AWS preferred; Azure and/or GCP a plus) - Experience with CI/CD tools such as Jenkins, GitLab CI, GitHub Actions, or ArgoCD - Strong experience with infrastructure-as-code tools including Terraform, Ansible, or Pulumi - Solid scripting skills in Python, Bash, Go, or similar languages - Experience operating Docker, Kubernetes, and container orchestration platforms - Strong understanding of security, networking, and compliance requirements in regulated environments - Self-starter with proven ability to work collaboratively across multiple teams and geographies, demonstrating high-quality and high-touch customer engagement throughout all phases of delivery - Ability to collaborate effectively with architects, engineers, delivery teams, and client technical stakeholders - Languages: English required; Swiss German, German, French or Italian a plus - Location: Switzerland, with focus on Zurich and Lugano NICE TO HAVES (PREFERRED QUALIFICATIONS): - Experience operating blockchain infrastructure (Bitcoin nodes, Lightning Network, or similar) - Familiarity with distributed systems and blockchain-specific operational requirements - Experience with monitoring and observability platforms such as Prometheus, Grafana, Datadog, or ELK - Knowledge of service mesh, API gateways, or load-balancing technologies - Relevant certifications such as AWS Certified DevOps Engineer or CKA (Certified Kubernetes Administrator) - Interest in progressing into Senior DevOps Engineer or SRE leadership roles - Genuine interest in Bitcoin, digital assets, and blockchain-based financial infrastructure 🔒 Stay Safe from Job Scams All official Blockstream communication will come from an @blockstream.com http://blockstream.com email address. We will never ask you to share sensitive information or purchase equipment during the hiring process. If in doubt, contact us at hr@blockstream.com. Learn more about avoiding job scams here https://consumer.ftc.gov/consumer-alerts/2022/05/want-work-home-spot-scams-first.

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 AIRE (AI Reliability Engineering) partners with teams across Anthropic to improve reliability across our most critical serving paths -- every hop from the SDK through our network, API layers, serving infrastructure, and accelerators and back. We jump into the trenches alongside partner teams to make the systems that deliver Claude more robust and resilient, be it during an incident or collaborating on projects. Reliability here is an emergent phenomenon that transcends any single team's boundaries, so someone has to zoom out and look at the whole picture. That's us -- and it means few teams at Anthropic offer this kind of dynamic, cross-cutting exposure to the systems that matter most. Responsibilities: Develop appropriate Service Level Objectives for large language model serving systems, balancing availability and latency with development velocity Design and implement monitoring and observability systems across the token path Assist in the design and implementation of high-availability serving infrastructure across multiple regions and cloud provider Lead incident response for critical AI services, ensuring rapid recovery, thorough incident reviews, and systematic improvements Support the reliability of safeguard model serving -- critical for both site reliability and Anthropic's safety commitments. You may be a good fit if you: Have strong distributed systems, infrastructure, or reliability backgrounds -- we're looking for reliability-minded software engineers and SREs Are curious and brave -- comfortable jumping into unfamiliar systems during an incident and helping drive resolution even when you don't have deep expertise yet Think holistically about how systems compose and where the seams are Can build lasting relationships across teams -- our engagement model depends on being welcomed as teammates, not outsiders with opinions Care about users and feel ownership over outcomes, even for systems you don't own Have excellent communication and collaboration skills -- you'll be partnering across the entire company Bring diverse experience -- the team's strength comes from people who've built product stacks, scaled databases, run massive distributed systems, and everything in between. Strong candidates may also: Have been an SRE, Production Engineer, or in similar reliability-focused roles on large scale systems Have experience operating large-scale model serving or training infrastructure (>1000 GPUs) Have experience with one or more ML hardware accelerators (GPUs, TPUs, Trainium) Understand ML-specific networking optimizations like RDMA and InfiniBand Have expertise in AI-specific observability tools and frameworks Have experience with chaos engineering and systematic resilience testing Have contributed to open-source infrastructure or ML tooling. 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: $325,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Anywhere in France Workplace: Hybrid HEALTH CAN’T WAIT. Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t. Alan exists to end the wait. Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way. So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience. We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR. Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond. ⭐️ MEDICAL LEAD - TELEMEDICINE ⭐️ Our Health Professionals team embeds clinical expertise across Alan's integrated model to deliver innovative healthcare services with quality, efficiency, and compelling differentiation. We're scaling Alan's telemedicine offering to become a cornerstone of our integrated model - teleconsultations, medical chat, and AI agents working together to deliver exceptional care. You'll grow and lead our team of 50+ health -professionals - General Practitioners (GPs), medical specialists, nutritionists, midwives, physiotherapists - across multiple telemedicine offerings and geographies. You will define clinical practices that balance excellence with effectiveness for optimal patient experience, embedding value-based healthcare principles throughout. Day to day, you will collaborate with a dedicated Ops team to monitor and drive excellence of those health services. THE CHALLENGES Lead and develop the team - Scale and lead a remote-first team - recruit, onboard, and manage 50+ health professionals (primarily GPs), across geographies, fostering engagement around shared outcomes and integrated care. - Establish a feedback culture - shape a medical team where professionals embrace peer feedback and case reviews for continuous improvement, in a supportive and benevolent environment. - Establish medical governance and ensure quality & safety - set up clinical committees, case reviews, and incident management. Develop protocols aligned with national guidelines and Alan member first mindset, define appropriate teleconsultation use cases, ensure compliance. Monitor and improve clinical practice - Define clinical practices for integrated care - create telemedicine guidelines that optimize medical quality, patient experience, and cost-effectiveness across the care pathway. - Drive outcomes that matter - establish metrics beyond process indicators: health impact, member experience, cost-effectiveness, and specific clinical patterns and contribute to their monitoring and analysis. Contribute to shaping tomorrow's care - Shape AI-augmented practice - collaborate with product teams to integrate AI effectively into clinical workflows - Inform care navigation development within Alan - bring clinical expertise to guide patients toward optimal prevention and care pathways across Alan Clinic and external providers ⭐️ If you have some of the following, you may be a great fit ⭐️ CORE REQUIREMENTS: - Medical degree (GP or relevant specialty), registered with French Medical Council, 5+ years post-qualification experience. Public health or digital health training is a plus. - Fluent English and French; third language is a plus - Team leadership experience - you've managed medical teams and/or coordinated complex cross-functional projects. - Corporate healthcare experience (health tech, insurers, digital health) or public health sector outside hospitals. You grasp business and organizational dynamics, and collaborate naturally with non-medical teams. - Digital health & telemedicine experience (Qare, Livi, Doctolib, etc.) with genuine excitement about AI as an enabler of better care - Value-based healthcare experience - you've designed care pathways that balance clinical quality, patient experience, GP engagement, and cost-effectiveness in real-world settings. You proactively discuss healthcare economics and resource allocation, seeing thoughtful resource use as essential to good medicine. HOW YOU WORK: - You are entrepreneurial with bias for action - you thrive in fast-moving environments, make decisions with incomplete information, and iterate quickly - You are a strong communicator and change leader - you embrace and foster feedback culture, bringing physicians along on change through empathetic challenge PLUS: - Experience in integrated care models or health insurance medical operations - Track record scaling medical teams in growth environments - Familiar with French telemedicine regulatory framework and healthcare system Experience level: We're looking for physicians with 5-10 years of post-qualification experience 🙌 PERKS & BENEFITS At Alan, we believe that being in good health is a basic need, and it starts with our employees. This is why Alaners are provided with a stimulating environment and perks ensuring they are happy, efficient and spend only high-quality time with co-workers. Therefore, we offer: - Fair rewards. Generous equity packages complement your base salary. - Flexible Office. Amazing office space at our HQ, sponsored co-working hubs or a full-remote experience with home office equipment sponsorship, we want you to live where you’re the happiest. - All the tools you need. Top of the range equipment: Macbook Pro, keyboard, laptop stand, monitor, and Bose noise-canceling headphones. - Flexible vacation policy and flexible working hours. organize your time as you wish. - Delightful healthcare insurance: Extremely comprehensive health insurance - 100% for you and your children, 90-100% for partners depending on your country (permanent contracts only). - Transport. Country-specific commuter benefits. - Learning & Training opportunities. A highly flexible Training policy free books and budget to attend and speak at conferences if the opportunity arises. - Personal growth through coaching: At Alan, coaching isn't just a perk - ****it's core to who we are. Every Alaner is paired with a dedicated coach from day one, who helps maximize their impact, nurture engagement, and navigate Alan's values to develop their full potential. Learn more about our coaching culture https://alan.com/en/blog/discover-alan/a/alan-culture-excellence-through-coaching. Parental leave. Extended parental leave for all new parents.

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 Infrastructure organization is the engine that powers our mission. Every breakthrough in AI safety research and every interaction users have with Claude depends on the systems we build and operate: massive clusters for training frontier models, production infrastructure serving millions of users reliably, and developer platforms that help engineers move fast without breaking things. As a Technical Program Manager for Infrastructure, you’ll work across multiple infrastructure domains to coordinate complex programs that have broad organizational impact. You’ll be solving novel scaling challenges at the frontier of what's possible, all while maintaining the security and reliability our mission demands. This role is ideal for someone who thrives in ambiguity and believes their job is to make everyone around them more effective. You’ll partner closely with engineering leadership to drive strategic initiatives while ensuring seamless coordination between research, engineering, and product teams. What you’ll do: Developer Productivity & Tooling Drive cross-functional programs to improve developer environments, CI/CD infrastructure, and release processes that enable rapid innovation while maintaining high security standards Coordinate large-scale migrations and platform modernization efforts across engineering teams Partner with teams to measure and improve developer productivity metrics, identifying bottlenecks and driving systematic improvements Lead initiatives to integrate AI tools into development workflows, helping Anthropic be at the forefront of AI-assisted research and engineering Infrastructure Reliability & Operations Drive programs to establish and achieve reliability targets across training infrastructure and production services Coordinate incident response improvements, post-mortem processes, and on-call rotations that help teams operate effectively Establish metrics and dashboards to track infrastructure health, capacity utilization, and operational excellence Cross-functional Coordination Serve as the critical bridge between infrastructure teams, research, and product, translating technical complexities into clear updates for a variety of audiences Consult with stakeholders to deeply understand infrastructure, data, and compute needs, identifying solutions to support frontier research and product development Drive alignment on priorities and timelines across teams with competing constraints You May Be a Good Fit If You Have 5+ years of technical program management experience, with a track record of successfully delivering complex infrastructure programs in ML/AI systems or large-scale distributed systems Have deep technical understanding of infrastructure systems—enough to engage substantively with engineers, identify technical risks, and add value beyond project tracking Excel at creating structure and processes in ambiguous environments, bringing clarity to complex cross-team initiatives Have strong stakeholder management skills and can build trust with both technical and non-technical partners Are comfortable navigating competing priorities and using data to drive technical decisions Have experience with developer productivity initiatives, CI/CD systems, or infrastructure scaling Thrive in fast-paced environments and can balance strategic planning with tactical execution Are obsessed with reliability, scalability, security, and continuous improvement Have a passion for supporting internal partners like research to understand their unique needs Are passionate about AI infrastructure and understand the unique challenges of building and operating systems at frontier scale Experience with Kubernetes, cloud platforms (AWS, GCP, Azure), and ML infrastructure (GPU/TPU/Trainium clusters) Background working with research teams and translating their needs into concrete technical requirements Experience driving adoption of AI tools to improve engineering productivity Familiarity with observability tooling and practices Deadline to Apply: None, applications will be received 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: $290,000 — $365,000 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: Dublin, IE 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 Claude has your back. AIRE has Claude's. Help us keep Claude reliable for everyone who depends on it. AIRE (AI Reliability Engineering) partners with teams across Anthropic to improve reliability across our most critical serving paths -- every hop from the SDK through our network, API layers, serving infrastructure, and accelerators and back. We jump into the trenches alongside partner teams to make the systems that deliver Claude more robust and resilient, be it during an incident or collaborating on projects. Reliability here is an emergent phenomenon that transcends any single team's boundaries, so someone has to zoom out and look at the whole picture. That's us -- and it means few teams at Anthropic offer this kind of dynamic, cross-cutting exposure to the systems that matter most. Responsibilities Develop appropriate Service Level Objectives for large language model serving systems, balancing availability and latency with development velocity. Design and implement monitoring and observability systems across the token path. Assist in the design and implementation of high-availability serving infrastructure across multiple regions and cloud providers Lead incident response for critical AI services, ensuring rapid recovery, thorough incident reviews, and systematic improvements. Support the reliability of safeguard model serving -- critical for both site reliability and Anthropic's safety commitments. You may be a good fit if you Have strong distributed systems, infrastructure, or reliability backgrounds -- we're looking for reliability-minded software engineers and SREs. Are curious and brave -- comfortable jumping into unfamiliar systems during an incident and helping drive resolution even when you don't have deep expertise yet. Think holistically about how systems compose and where the seams are. Can build lasting relationships across teams -- our engagement model depends on being welcomed as teammates, not outsiders with opinions. Care about users and feel ownership over outcomes, even for systems you don't own. Have excellent communication and collaboration skills -- you'll be partnering across the entire company. Bring diverse experience -- the team's strength comes from people who've built product stacks, scaled databases, run massive distributed systems, and everything in between. Strong candidates may also Have been an SRE, Production Engineer, or in similar reliability-focused roles on large scale systems Have experience operating large-scale model serving or training infrastructure (>1000 GPUs). Have experience with one or more ML hardware accelerators (GPUs, TPUs, Trainium). Understand ML-specific networking optimizations like RDMA and InfiniBand. Have expertise in AI-specific observability tools and frameworks. Have experience with chaos engineering and systematic resilience testing. Have contributed to open-source infrastructure or ML tooling. 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: €235.000 — €295.000 EUR 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: Albury, Australia At Intellect, we’re a leading global mental health tech company in 100+ markets worldwide. We partner with employers, insurers, and governments to deliver coaching, counselling, and therapy services across Australia. We’re expanding our EAP provider network and hiring coaches, counsellors, and psychologists. Whether you’d like to supplement your private practice or take on a full-time career pathway, Intellect offers flexibility to fit your lifestyle. Why Join Us? Flexibility in employment models: freelance, contracted, part-time, or full-time — so you can maintain your own private caseload/clients while expanding with Intellect Competitive compensation & attractive perks Minimal admin burden — we handle scheduling, billing, client matching Regular supervision & CPD included Diverse client base — from local employees to regional/global Fortune 500 companies Additional opportunities: CISP (Critical Incident Stress Programme), webinars, in-person seminars, clinical leadership What You’ll Do Provide 1:1 telehealth and/or onsite coaching, counselling, or therapy-style consultations, offering general advice only (not treatment) Deliver CISP (Critical Incident Stress Programme) virtually or onsite as needed Facilitate webinars and in-person seminars (optional) Support employees with wellbeing, stress, and resilience Collaborate with Intellect’s internal clinical team to improve EAP programs Requirements Must Haves Counsellors & Clinical Psychologists Counsellors: Master’s in Counselling, Counselling Psychology, or Social Work Active membership/registration with one of: ACA (Australian Counselling Association) PACFA (Psychotherapy & Counselling Federation of Australia) 1–3 years of supervised counselling experience Clinical Psychologists: Master’s in Clinical Psychology from an APAC-accredited program General registration with AHPRA (Psychology Board of Australia) Area of Practice Endorsement in Clinical Psychology preferred (or in progress via Registrar Program) 1–3 years of supervised clinical practice Nice to Haves Experience working with First Nations / Aboriginal & Torres Strait Islander communities Background in managerial or leadership support (e.g., coaching managers, HR advisory) Prior EAP or workplace counselling experience Additional languages Flexibility for occasional onsite sessions Willingness for Police Check and/or Working With Children Check (not mandatory, only if requested by some clients) Eligibility/willingness to obtain a Medicare provider number (not mandatory, only if required by engagement type) Let’s Talk This is more than a job. It’s your chance to: Work with a global provider network Broaden your clientele base beyond local users Grow your career outside of sessions through research, content, and webinars Access supervision & CE most EAPs don’t provide If you’re ready to make a meaningful impact and expand your practice with flexibility, we’d love to hear from you.  Apply today and join Intellect in transforming workplace mental health across the country and beyond.

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 Safeguards Engineering builds and operates the infrastructure that keeps Anthropic's AI systems safe in production — the classifiers, detection pipelines, evaluation platforms, and monitoring systems that sit between our models and the real world. That infrastructure needs to be not just correct, but reliable : when a safety-critical pipeline goes down or degrades, the consequences can be serious, and they can be invisible until someone looks closely. As a Technical Program Manager for Safeguards Infrastructure and Evals, you'll own the operational health and forward momentum of this stack. Your primary responsibility is driving reliability — owning the incident-response and post-mortem process, ensuring SLOs are defined and met in partnership with various teams, and making sure that when things go wrong, the right people know, the right actions get taken, and those actions actually get closed out. Alongside that ongoing operational rhythm, you'll coordinate the larger platform investments: migrations, eval-platform improvements, and the cross-team dependencies that connect them. This role sits at the intersection of operations and program management. It requires genuine technical depth — you need to understand how these systems work well enough to triage effectively, judge what's actually safety-critical versus what can wait, and have informed conversations with the engineers building and maintaining them. But the core of the job is keeping the machine running well and the work moving. What You'll Do: Own the Safeguards Engineering ops review - Drive the recurring cadence that keeps the team informed and coordinated: surfacing recent incidents and failures, bringing visibility to reliability trends, and making sure the right people are in the room when decisions need to be made. This is the heartbeat of how Safeguards Eng stays ahead of operational risk. Drive incident tracking and post-mortem execution - When incidents happen — and in this space, they happen regularly — you'll make sure they get followed through properly. That means tracking incidents across the organization (including those owned by partner teams like Inference), ensuring post-mortems get written, and most critically, making sure the action items that come out of them actually get done. Closing the loop on post-mortem actions is one of the highest-leverage things this role does. Establish and maintain SLOs with partner teams - Work with Safeguards Engineering teams and key partners — particularly Inference and Cloud Inference — to define service-level objectives for safety-critical pipelines. Then build the tracking and reporting that makes it possible to tell whether those SLOs are being met, and surface it when they're not. Maintain runbook quality and incident-ownership clarity - Safety-critical systems need clear playbooks for when things go wrong. Partner with engineering leads to keep runbooks accurate, actionable, and up to date — and ensure that ownership of incidents is unambiguous so that nothing falls through the cracks during an active incident. Drive platform migrations and infrastructure projects - Own the program management for the larger infrastructure work on the roadmap: migrating the infra from one platform to the next, moving from one incident platform to the next and from one cloud system monitoring to another, and other migrations as they come. These are cross-team efforts with real dependencies — your job is to keep them sequenced, on track, and connected to the teams that need them. Coordinate evals platform improvements - Partner with the evals engineering team to drive improvements to the evaluation platform — including self-serve capabilities and the broader eval factory infrastructure. Help scope the work, track dependencies on other Safeguards systems, and make sure the evals platform is keeping pace with the team's needs. You might be a good fit if you: Have solid technical program management experience, particularly in operational or infrastructure-heavy environments — you're comfortable owning a mix of ongoing operational cadences and discrete project work simultaneously. Understand how production ML systems work well enough to triage incidents intelligently and have substantive conversations with engineers about what's going wrong and why — you don't need to write the code, but you need to follow the technical thread. Are energized by closing loops. Post-mortem action items that never get done, SLOs that no one checks, runbooks that go stale — these things bother you, and you know how to build the processes and follow-ups that fix them. Can work effectively across team boundaries — comfortable coordinating with partner teams (like Inference) where you don't have direct authority, and skilled at keeping shared work moving through influence and clear communication. Thrive in environments where the work shifts between "keep the lights on" and "build something new" — and can context-switch between incident follow-ups and longer-horizon platform projects without dropping either. Have experience with or strong interest in AI safety — you understand why the reliability of a safety-critical pipeline is a different kind of problem than the reliability of a product feature, and that distinction motivates you. Strong candidates may also: Have experience with SRE practices, incident management frameworks, or on-call operations at scale. Have worked on or with evaluation infrastructure for ML systems — understanding how evals get designed, run, and interpreted. Have experience driving infrastructure migrations in complex, multi-team environments — particularly where the migration touches operational systems that can't go offline. Be familiar with monitoring and alerting tooling (PagerDuty, Datadog, or equivalents) and the operational culture around them. Deadline to apply: None, applications will be received 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: $290,000 — $365,000 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: Broome, Australia About Intellect At Intellect, we’re a leading global mental health tech company in 100+ markets worldwide. We partner with employers, insurers, and governments to deliver coaching, counselling, and therapy services across Australia. We’re expanding our EAP provider network and hiring coaches, counsellors, and psychologists. Whether you’d like to supplement your private practice or take on a full-time career pathway, Intellect offers flexibility to fit your lifestyle. Why Join Us? Flexibility in employment models: freelance, contracted, part-time, or full-time — so you can maintain your own private caseload/clients while expanding with Intellect Competitive compensation & attractive perks Minimal admin burden — we handle scheduling, billing, client matching Regular supervision & CPD included Diverse client base — from local employees to regional/global Fortune 500 companies Additional opportunities: CISP (Critical Incident Stress Programme), webinars, in-person seminars, clinical leadership What You’ll Do Provide 1:1 telehealth and/or onsite coaching, counselling, or therapy-style consultations, offering general advice only (not treatment) Deliver CISP (Critical Incident Stress Programme) virtually or onsite as needed Facilitate webinars and in-person seminars (optional) Support employees with wellbeing, stress, and resilience Collaborate with Intellect’s internal clinical team to improve EAP programs Must Haves Counsellors & Clinical Psychologists Counsellors: Master’s in Counselling or Counselling Psychology Active membership/registration with one of: ACA (Australian Counselling Association) PACFA (Psychotherapy & Counselling Federation of Australia) 1–3 years of supervised counselling experience (internship counts if part of licensure pathway) Clinical Psychologists: Master’s in Clinical Psychology from an APAC-accredited program General registration with AHPRA (Psychology Board of Australia) Area of Practice Endorsement in Clinical Psychology preferred (or in progress via Registrar Program) 1–3 years of supervised clinical practice Nice to Haves Experience working with First Nations / Aboriginal & Torres Strait Islander communities Background in managerial or leadership support (e.g., coaching managers, HR advisory) Prior EAP or workplace counselling experience Additional languages Flexibility for occasional onsite sessions Willingness for Police Check and/or Working With Children Check (not mandatory, only if requested by some clients) Eligibility/willingness to obtain a Medicare provider number (not mandatory, only if required by engagement type) Let’s Talk This is more than a job. It’s your chance to: Work with a global provider network Broaden your clientele base beyond local users Grow your career outside of sessions through research, content, and webinars Access supervision & CE most EAPs don’t provide If you’re ready to make a meaningful impact and expand your practice with flexibility, we’d love to hear from you.  Apply today and join Intellect in transforming workplace mental health across the country and beyond.

Location: New York ABOUT US: AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: We’re looking for an Engineering Manager to lead a team of highly experienced engineers building the infrastructure that powers Modal’s serverless GPU platform. This is a hands-on leadership role. Expect to split your time between technical contribution and people management depending on what the team needs. You’ll set direction, remove blockers, and build a strong engineering culture as your team tackles hard problems in distributed computing, large-scale data handling, and performance optimization. WHAT YOU’LL WORK ON: Team - Recruit, hire, and grow a high-performing team of cloud platform engineers; run regular 1:1s focused on coaching, feedback, and career growth - Set clear performance expectations, hold a high bar, and build an environment where engineers do their best work - Foster a culture of ownership, accountability, and continuous improvement Technical Direction - Drive day-to-day technical decisions through design reviews, code reviews, and architectural discussions - Translate the infrastructure roadmap into clear team priorities and milestones, and hold execution against them - Establish standards for reliability, performance, and operational excellence; ensure the team owns projects end-to-end, from spec through production - Push for good judgment on tooling and architecture, with a bias against unnecessary complexity Cross-Functional & Incident Leadership - Partner with product and engineering to align infrastructure work with business priorities; represent your team’s progress, capacity, and tradeoffs clearly to leadership - Serve as the escalation point for major incidents; drive resolution with urgency and ensure the team learns systematically, feeding those learnings back into infrastructure improvements YOU MAY BE A FIT IF: - You have 10+ years of industry experience, including 3+ years in a leadership role - You have a track record of building high-performance distributed systems at scale - You have a strong background in cloud infrastructure - You have deep knowledge of low-level OS foundations (Linux kernel, file systems, containers, etc.) - You’re proficient in a systems-level language (Rust, C, C++, or Java) - You’re an experienced engineering leader who stays close to the work and builds alongside your team when it counts - You earn trust through technical depth, not title - You communicate clearly, help strong engineers move fast without cutting corners, and stay calm and pragmatic under pressure - You care as much about how your team gets to an answer as about the answer itself

Location: London, UK 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 Claude has your back. AIRE has Claude's. Help us keep Claude reliable for everyone who depends on it. AIRE (AI Reliability Engineering) partners with teams across Anthropic to improve reliability across our most critical serving paths -- every hop from the SDK through our network, API layers, serving infrastructure, and accelerators and back. We jump into the trenches alongside partner teams to make the systems that deliver Claude more robust and resilient, be it during an incident or collaborating on projects. Reliability here is an emergent phenomenon that transcends any single team's boundaries, so someone has to zoom out and look at the whole picture. That's us -- and it means few teams at Anthropic offer this kind of dynamic, cross-cutting exposure to the systems that matter most. Responsibilities Develop appropriate Service Level Objectives for large language model serving systems, balancing availability and latency with development velocity. Design and implement monitoring and observability systems across the token path. Assist in the design and implementation of high-availability serving infrastructure across multiple regions and cloud providers Lead incident response for critical AI services, ensuring rapid recovery, thorough incident reviews, and systematic improvements. Support the reliability of safeguard model serving -- critical for both site reliability and Anthropic's safety commitments. You may be a good fit if you Have strong distributed systems, infrastructure, or reliability backgrounds -- we're looking for reliability-minded software engineers and SREs. Are curious and brave -- comfortable jumping into unfamiliar systems during an incident and helping drive resolution even when you don't have deep expertise yet. Think holistically about how systems compose and where the seams are. Can build lasting relationships across teams -- our engagement model depends on being welcomed as teammates, not outsiders with opinions. Care about users and feel ownership over outcomes, even for systems you don't own. Have excellent communication and collaboration skills -- you'll be partnering across the entire company. Bring diverse experience -- the team's strength comes from people who've built product stacks, scaled databases, run massive distributed systems, and everything in between. Strong candidates may also Have been an SRE, Production Engineer, or in similar reliability-focused roles on large scale systems Have experience operating large-scale model serving or training infrastructure (>1000 GPUs). Have experience with one or more ML hardware accelerators (GPUs, TPUs, Trainium). Understand ML-specific networking optimizations like RDMA and InfiniBand. Have expertise in AI-specific observability tools and frameworks. Have experience with chaos engineering and systematic resilience testing. Have contributed to open-source infrastructure or ML tooling. 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: £325,000 — £390,000 GBP 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: Harrisdale, Australia About Intellect At Intellect, we’re a leading global mental health tech company in 100+ markets worldwide. We partner with employers, insurers, and governments to deliver coaching, counselling, and therapy services across Australia. We’re expanding our EAP provider network and hiring coaches, counsellors, and psychologists. Whether you’d like to supplement your private practice or take on a full-time career pathway, Intellect offers flexibility to fit your lifestyle. Why Join Us? Flexibility in employment models: freelance, contracted, part-time, or full-time — so you can maintain your own private caseload/clients while expanding with Intellect Competitive compensation & attractive perks Minimal admin burden — we handle scheduling, billing, client matching Regular supervision & CPD included Diverse client base — from local employees to regional/global Fortune 500 companies Additional opportunities: CISP (Critical Incident Stress Programme), webinars, in-person seminars, clinical leadership What You’ll Do Provide 1:1 telehealth and/or onsite coaching, counselling, or therapy Deliver CISP (Critical Incident Stress Programme) virtually or onsite as needed Facilitate webinars and in-person seminars (optional) Support employees with wellbeing, stress, and resilience Collaborate with Intellect’s internal clinical team to improve EAP programs Requirements Must Haves Counsellors & Clinical Psychologists Counsellors: Master’s in Counselling, Counselling Psychology, or Social Work Active membership/registration with one of: ACA (Australian Counselling Association) PACFA (Psychotherapy & Counselling Federation of Australia) 1–3 years of supervised counselling experience Clinical Psychologists: Master’s in Clinical Psychology from an APAC-accredited program General registration with AHPRA (Psychology Board of Australia) Area of Practice Endorsement in Clinical Psychology preferred (or in progress via Registrar Program) 1–3 years of supervised clinical practice Nice to Haves Experience working with First Nations / Aboriginal & Torres Strait Islander communities Background in managerial or leadership support (e.g., coaching managers, HR advisory) Prior EAP or workplace counselling experience Additional languages Flexibility for occasional onsite sessions Willingness for Police Check and/or Working With Children Check (not mandatory, only if requested by some clients) Eligibility/willingness to obtain a Medicare provider number (not mandatory, only if required by engagement type) Benefits Let’s Talk This is more than a job. It’s your chance to: Work with a global provider network Broaden your clientele base beyond local users Grow your career outside of sessions through research, content, and webinars Access supervision & CE most EAPs don’t provide If you’re ready to make a meaningful impact and expand your practice with flexibility, we’d love to hear from you.  Apply today and join Intellect in transforming workplace mental health across the country and beyond.

Location: Nicosia Wrike is the most powerful work management platform. Built for teams and organizations looking to collaborate, create, and exceed every day, Wrike brings everyone and all work into a single place to remove complexity, increase productivity, and free people up to focus on their most purposeful work. Wrike is our people, not a place. As a distributed team, we own our growth, stay globally connected, and rely on the product we build to deliver impactful work alongside brilliant minds. You'll have real ownership over meaningful work, a global team that has your back, and the flexibility to do your best work your way. If that sounds like you, we'd love to hear from you. Our vision: A world where everyone is free to focus on their most purposeful work, together. About the Role: You'll help build the very AI-powered platform you use every day, with real autonomy over the features you ship. Wrike’s Backend Reliability (BRE) team is the backbone of our backend infrastructure and the guardian of our uptime. Our mission is to achieve and sustain 99.99% availability while building the tools, components, and safety nets that the entire engineering organization relies on. As a Senior / Staff Backend Engineer on this team, you won’t just close tickets - you’ll architect core reliability solutions that shape how Wrike scales, performs, and recovers from failure. Your Impact: Design, build, and maintain critical reliability components such as HTTP rate limiters, internal DB schema migration tools, circuit breakers, and distributed Redis-based caching. Troubleshoot complex production issues, optimize PostgreSQL usage, and ensure our distributed systems remain performant and stable under high load. Lead preliminary investigations during severe production incidents: identify likely root causes, assess impact, and propose mitigation options. The long-term fixes are then implemented by the owning team, based on your findings. Create scalable, reusable tools and frameworks that help other engineering teams build more resilient services. Leverage AI-powered tools and coding agents to accelerate development, analyze architectures, and automate repetitive or error-prone tasks. Influence reliability best practices across engineering by sharing knowledge, reviewing designs, and setting high technical standards. Your Qualifications: Strong expertise with Java/JVM, building scalable, high-performance backend systems; open to leveraging other languages when appropriate. Solid understanding of distributed systems concepts, including high availability, CAP theorem, and fault tolerance. Deep experience with relational databases (PostgreSQL) and key–value / non-relational storages (Redis). Practical experience with containerization and cloud-native environments, including Docker and Kubernetes. Hands-on experience with message brokers such as RabbitMQ or Kafka. Ability to work independently with minimal supervision, using critical thinking to question assumptions and validate your own decisions. Strong written and spoken English skills suitable for collaborating in an international engineering environment. Standout Qualities: Background in infrastructure engineering or Site Reliability Engineering (SRE), including infrastructure-as-code practices. Experience leading technical initiatives, driving cross-team projects, and mentoring other engineers while remaining an individual contributor. Familiarity with observability and monitoring stacks (e.g., Graylog, Zabbix, Grafana) and/or data analytics tools such as BigQuery. A strong interest in how complex systems fail and a track record of designing them to recover gracefully. Team Dynamics: You will join the Backend Reliability (BRE) team, a small, highly specialized, senior group focused solely on Wrike’s reliability. The team operates as an internal “reliability task force,” partnering closely with product and platform engineering teams across the company. You’ll collaborate with other senior engineers who value autonomy, deep technical discussions, and rigorous engineering practices. The culture is ownership-driven: you are trusted to manage your time, make architectural decisions, and drive initiatives to completion. Our Work Style: The BRE team works on core backend and infrastructure services that support millions of users. We operate in a collaborative environment that values clear communication, thoughtful design, and fast feedback loops. Tech focus areas include: Java/JVM-based services, PostgreSQL, Redis, Docker, Kubernetes, RabbitMQ/Kafka, and observability/monitoring tools. We encourage the use of modern AI-based tooling and coding agents as part of daily development and troubleshooting workflows. Work is organized with an emphasis on impact and reliability goals rather than ticket volume, giving you room for deep work and long-term improvements. Hybrid work mode (Prague, Czech Republic / Nicosia, Cyprus), with flexibility to balance focused individual work and collaborative sessions. Benefits & Perks: 25 calendar days of paid vacation Sick Leave Compensation (5 Paid Uncertified Sick Days) Parental Leave: 18 Weeks Maternity / 4 Week Paternity 2 Volunteer Days Medical Insurance (Employees + Dependents) Hybrid Working Model School Allowance (Up to €600/month for school aged kids) Simcard w/ Unlimited Internet Access for active employees Office Lunch Allowance (via Wolt) on Wednesdays / Thursdays What’s next? Interview with a Recruiter Technical interview System Design Interview Cultural interview Your recruitment buddy will be Aleksandar Chernev , Senior Technical Recruiter. #LI-AC1 Who Is Wrike and Our Culture We’re a team of innovators and creators who solve the complex work problems of today and tomorrow. Hybrid work mode Wrike is our people, not a place. With 1,000+ employees collaborating across nearly every time zone, we support talent through 10 global hubs — Australia, Costa Rica, Cyprus, Czechia, Estonia, France, India, Ireland, Japan, and the United States — offering flexible ways of working that include remote work, hybrid environments, and co-working spaces across many locations. While flexibility looks different across teams and regions, employees located near certain hubs — particularly in Prague (CZ), Nicosia (CY), Bangalore (IN), and Rennes (FR) — are generally expected to collaborate in person around 2–3 days per week, balancing the flexibility of distributed work with opportunities for in-person collaboration and connection. Our persona 💡  Smart: We love what we do, and we’re great at it because this is our domain. Our combined knowledge in this space is unmatched. 💚  Dedicated: We get up every day focused on helping our customers win. We’re committed to helping our teammates win, too! 🤗  Approachable: We're friendly, easy to get along with, considerate, and helpful. Our culture and Values 🤩 Customer-Focused We care about our customers. We understand the customer journey, experience, and value derived from Wrike. Decision-making and action-taking are done with the customer in mind. 🤝 Collaborative We work as one and win together, each bringing unique strengths that contribute to diversity of thought for better outcomes. Leveraging our own work management platform, we foster an environment of creative collaboration and shared achievement. 🎨 Creative We strive to succeed through continuous innovation. It’s our pursuit of novel concepts that helped us create a market category. We continue to cultivate a workplace that fosters creative thinking as a means of transcending conventional boundaries and empowers us to break new ground to deliver extraordinary work management solutions. 💪 Committed We believe in ownership at all levels of the organization, by owning workflows from start to finish. Each member of our team is an integral part of this commitment, establishing work as a platform for personal growth and transformation, as well as collective success and growth. Check out our LinkedIn Life Page , Company culture page , Instagram , Wrike Engineering Team , Medium , Meetup.com , Youtube for a feel for what life is like at Wrike.

Location: San Francisco, CA Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. WHAT YOU'LL DO - Implement Go-to-Market software for our marketing, sales, and agent development teams - Design and build the automated workflows, integrations, and AI-powered systems that turn signal into pipeline, across enrichment, scoring, routing, and outbound activation - Own our enrichment infrastructure end-to-end: the pipelines that take a new signup, demo request, or event attendee list and return a fully enriched, scored, Salesforce-upserted record across Clay, ZoomInfo, Cognism, and LLM-powered sources - Build AI agents and AI-powered internal tools that compound sales team output — account research, call summarization, RFP and security questionnaire response, proposal generation, and Slack-accessible agents that surface account intel on demand - Build and improve the fit scoring pipeline that evaluates every account against our ICP and writes results to Postgres and Salesforce, including signal design, batching, retry logic, and continuous improvement of the underlying models - Develop data architecture using Postgres, Fivetran pipelines, and reverse ETL. Keep data jobs healthy and in sync with the tools that consume them; track downstream impact when schemas and apps change - Ship production code with PR review, observability, and proper error handling and debug production incidents (Salesforce platform failures, enrichment failures, LLM timeouts) WHAT YOU'LL BRING - 3+ years in GTM Engineering, Revenue Operations, Sales Engineering, Growth Engineering, or a closely adjacent technical role at a high-growth B2B SaaS company - Python and TypeScript skills: You write clean code, understand async patterns, can design a database schema, and can debug a production incident from logs alone - Hands-on experience inside a modern GTM stack (Salesforce, HubSpot, Outreach, Clay, enrichment providers): You understand how leads flow through a CRM and why data quality degrades over time - Production experience with LLMs: Prompt design, eval loops, error handling, and the difference between a demo and a system you can trust at scale - Strong working knowledge of SQL, schemas, and data flow across GTM and warehouse systems - Systems thinking: You’ve built data pipelines and think about what happens at 10x volume, when an API goes down, or when the same account hits your queue five times in parallel - Owner's mindset: You take accountability from code to deployment to adoption, define scope with minimal direction, and ship good solutions over perfect ones EVEN BETTER… - Built applications using LLMs, ideally with exposure to production-grade AI/ML systems - Developed custom Salesforce solutions using apex classes, apex triggers, LWC, SLDS - Integrated salesforce with other business systems using REST/SOAP APIs, Platform Events, and External Services OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits through Carrot - Lunch, as well as delicious snacks and coffee to keep you energized  - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

Location: Port Hedland, Australia At Intellect, we’re a leading global mental health tech company in 100+ markets worldwide. We partner with employers, insurers, and governments to deliver coaching, counselling, and therapy services across Australia. We’re expanding our EAP provider network and hiring coaches, counsellors, and psychologists. Whether you’d like to supplement your private practice or take on a full-time career pathway, Intellect offers flexibility to fit your lifestyle. Why Join Us? Flexibility in employment models: freelance, contracted, part-time, or full-time — so you can maintain your own private caseload/clients while expanding with Intellect Competitive compensation & attractive perks Minimal admin burden — we handle scheduling, billing, client matching Regular supervision & CPD included Diverse client base — from local employees to regional/global Fortune 500 companies Additional opportunities: CISP (Critical Incident Stress Programme), webinars, in-person seminars, clinical leadership What You’ll Do Provide 1:1 telehealth and/or onsite coaching, counselling, or therapy-style consultations, offering general advice only (not treatment) Deliver CISP (Critical Incident Stress Programme) virtually or onsite as needed Facilitate webinars and in-person seminars (optional) Support employees with wellbeing, stress, and resilience Collaborate with Intellect’s internal clinical team to improve EAP programs Requirements Must Haves Counsellors & Clinical Psychologists Counsellors: Master’s in Counselling or Counselling Psychology Active membership/registration with one of: ACA (Australian Counselling Association) PACFA (Psychotherapy & Counselling Federation of Australia) 1–3 years of supervised counselling experience Clinical Psychologists: Master’s in Clinical Psychology from an APAC-accredited program General registration with AHPRA (Psychology Board of Australia) Area of Practice Endorsement in Clinical Psychology preferred (or in progress via Registrar Program) 1–3 years of supervised clinical practice Nice to Haves Experience working with First Nations / Aboriginal & Torres Strait Islander communities Background in managerial or leadership support (e.g., coaching managers, HR advisory) Prior EAP or workplace counselling experience Additional languages Flexibility for occasional onsite sessions Willingness for Police Check and/or Working With Children Check (not mandatory, only if requested by some clients) Eligibility/willingness to obtain a Medicare provider number (not mandatory, only if required by engagement type) Let’s Talk This is more than a job. It’s your chance to: Work with a global provider network Broaden your clientele base beyond local users Grow your career outside of sessions through research, content, and webinars Access supervision & CE most EAPs don’t provide If you’re ready to make a meaningful impact and expand your practice with flexibility, we’d love to hear from you.  Apply today and join Intellect in transforming workplace mental health across the country and beyond.

Location: Margaret River, Australia At Intellect, we’re a leading global mental health tech company in 100+ markets worldwide. We partner with employers, insurers, and governments to deliver coaching, counselling, and therapy services across Australia. We’re expanding our EAP provider network and hiring coaches, counsellors, and psychologists. Whether you’d like to supplement your private practice or take on a full-time career pathway, Intellect offers flexibility to fit your lifestyle. Why Join Us? Flexibility in employment models: freelance, contracted, part-time, or full-time — so you can maintain your own private caseload/clients while expanding with Intellect Competitive compensation & attractive perks Minimal admin burden — we handle scheduling, billing, client matching Regular supervision & CPD included Diverse client base — from local employees to regional/global Fortune 500 companies Additional opportunities: CISP (Critical Incident Stress Programme), webinars, in-person seminars, clinical leadership What You’ll Do Provide 1:1 telehealth and/or onsite coaching, counselling, or therapy-style consultations, offering general advice only (not treatment) Deliver CISP (Critical Incident Stress Programme) virtually or onsite as needed Facilitate webinars and in-person seminars (optional) Support employees with wellbeing, stress, and resilience Collaborate with Intellect’s internal clinical team to improve EAP programs Requirements Must Haves Counsellors & Clinical Psychologists Counsellors: Master’s in Counselling, Counselling Psychology, or Social Work Active membership/registration with one of: ACA (Australian Counselling Association) PACFA (Psychotherapy & Counselling Federation of Australia) 1–3 years of supervised counselling experience Clinical Psychologists: Master’s in Clinical Psychology from an APAC-accredited program General registration with AHPRA (Psychology Board of Australia) Area of Practice Endorsement in Clinical Psychology preferred (or in progress via Registrar Program) 1–3 years of supervised clinical practice Nice to Haves Experience working with First Nations / Aboriginal & Torres Strait Islander communities Background in managerial or leadership support (e.g., coaching managers, HR advisory) Prior EAP or workplace counselling experience Additional languages Flexibility for occasional onsite sessions Willingness for Police Check and/or Working With Children Check (not mandatory, only if requested by some clients) Eligibility/willingness to obtain a Medicare provider number (not mandatory, only if required by engagement type) Let’s Talk This is more than a job. It’s your chance to: Work with a global provider network Broaden your clientele base beyond local users Grow your career outside of sessions through research, content, and webinars Access supervision & CE most EAPs don’t provide If you’re ready to make a meaningful impact and expand your practice with flexibility, we’d love to hear from you.  Apply today and join Intellect in transforming workplace mental health across the country and beyond.

Location: Dammam, Saudi Arabia; Khafji, Saudi Arabia Eram Talent is looking for a detail-oriented and proactive Health & Safety Analyst to join our dynamic team. As a leading talent acquisition consultancy, Eram Talent specializes in providing top-notch recruitment solutions across various industries. In this role, you will be responsible for analyzing health and safety data, conducting risk assessments, and providing insights and recommendations to enhance the overall safety performance of the organization. Responsibilities Collects, analyzes, and interprets data to improve workplace safety, environmental performance, and regulatory compliance.  Conducting risk assessments, investigating incidents, preparing compliance reports, developing and delivering training, and collaborating with teams to implement safety initiatives and reduce hazards.  This role requires a strong understanding of HSE regulations and data analysis to provide insights that support management decisions and promote a safety-first culture.  EHS analyst provides support in planning, implementation and monitoring of environmental, health, and safety programs and policies to ensure compliance  Track Environmental, Health and Safety metrics including Ǫuarterly KPIs and PPE Acknowledgement submissions  Conduct formal and systematic reviews of campus operations and activities to ensure compliance with regulations.  Responsible for the accuracy and auditing of all Safety related statistics  Track safety, health and Environmental audit documents  Work with affected departments to coordinate, implement and maintain employee / trainee injury prevention strategies and program(s)  Provide hazard analysis, program customization, training and EHS support to activities within the organization, creative services and scripted television production activities  Support the maintenance of EHS database of accidents and incidents  Supports site in achieving EHS targets C objectives  Track all the HSE related contracts’ submissions  Organize and track HSE Campaigns  HSE Records and Files control and management Requirements Relevant degrees such as bachelor’s degree in engineering, Industrial, Safety, Health, Environmental Science Relevant Certificates in HSE Fields such as OSHA / NEBOSH. 3-5 years in similar field Knowledge in local safety regulations, EHS policies, standards and compliance Experience in Microsoft Office Fluent in English Language (Speaking, Writing, Reading) Experience in Environmental Health, Fire Systems would be beneficial.

Location: One Kattameya, Cairo Workplace: onsite We’re looking for a DevOps Engineer to own and evolve our cloud infrastructure, CI/CD pipelines, and reliability practices. You’ll play a key role in enabling fast, secure, and resilient product delivery while working closely with engineering, product, and security teams. What you'll do: Design, build, and maintain scalable cloud infrastructure (AWS/GCP/Azure) Own CI/CD pipelines and deployment automation. Improve system reliability, availability, and performance (SRE mindset) Implement Infrastructure as Code (Terraform, CloudFormation, etc.) Enhance monitoring, logging, and alerting systems. Ensure security, compliance, and best practices across environments. Support production systems and lead incident response when needed. Contribute to DevOps best practices across teams. To succeed in this role, you'll need to have: 3+ years of professional experience in DevOps Engineering. Strong experience in cloud platforms (AWS preferred) Solid background in Linux, networking, and system architecture. Experience with containers and orchestration (Docker, Kubernetes) Proficiency in CI/CD tools. Hands-on experience with IaC tools. Hands-on experience with Kubernetes is a must. Familiarity with monitoring tools. Strong scripting skills (Bash, Python, or similar) Experience in high-availability, production environments, Fintech is a plus.