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Location: United States Workplace: Remote 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 passionate about Bitcoin and its potential to change the future of finance. Focusing on building fundamental Bitcoin infrastructure, Blockstream quickly grew into one of the leading technology power houses of the industry. At Blockstream, we’re building solutions on Bitcoin that will disrupt the existing financial system. We imagine a world where individuals and businesses can easily access a global, permissionless system to secure their money, use it every day, and invest it or put it to work. In pursuit of our expansive vision, we’ve built a full stack of innovative products on top of the Bitcoin protocol, from layer-2 projects like Liquid and Core Lightning, to end-user software and hardware wallets like Green and Jade. Our brand stands for innovation in the Bitcoin community, and we’re growing our team to accelerate the future. Blockstream is looking for Software Engineers to work on our enterprise custody solution. You’ll design and maintain scalable end-to-end systems that serve APIs and SDKs, and work on everything from database architecture to cloud-based deployments.  What You’ll Be Doing (Responsibilities): - Design, develop, and maintain scalable end-to-end systems that serve APIs and SDKs. - Full stack software development, from database architecture to cloud-based deployment. - Optimize system performance and security to support high-availability applications. - Collaborate with cross-functional teams, including front-end developers, product managers, and hardware engineers to deliver seamless solutions. - Implement best practices in software development, including CI/CD, automated testing, and code reviews. - Research and integrate emerging technologies to enhance security and system efficiency. - Troubleshoot and resolve complex software issues in a fast-paced development environment. - Mentor junior developers and contribute to team knowledge-sharing efforts. What We Look For In You (Required Qualifications): - 5+ years of experience in full-stack software development, with a focus on backend engineering. - Proficiency in backend technologies such as C++, Python, Rust, Node.js. - Strong experience in designing and building RESTful APIs and SDKs. - Hands-on experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes). - Deep understanding of database technologies, including SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis). - Familiarity with authentication and security best practices, including OAuth, JWT, encryption, and access control. - Experience with CI/CD pipelines, automated testing, and DevOps tools. - Strong problem-solving skills and ability to work independently or as part of a team. - Excellent communication skills, with the ability to explain technical concepts to non-technical stakeholders. Nice To Haves (Preferred Qualifications): - Experience with Bitcoin, blockchain technology, or cryptography. - Open-source software development experience. - Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field (or equivalent experience). - Experience with system/software architecture.   🔒 Stay Safe from Job Scams All official Blockstream communication will come from an @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: Riyadh, Saudi Arabia Müller's Solutions is looking for Senior Product Tech Stack Experts to join our dynamic team. In this role, you will leverage your extensive knowledge of technology stacks to guide product development and enhance application performance. As an expert in your field, you will collaborate with cross-functional teams to evaluate new technologies and recommend appropriate solutions to meet our product objectives. Your contributions will ensure our products remain competitive in a rapidly changing technology landscape. Responsibilities: • Analyze product requirements and translate them into actionable technical solutions utilizing the most suitable tech stacks. • Collaborate with product managers, designers, and developers to define product vision and technical strategy. • Evaluate current technologies and propose enhancements to improve product performance, scalability, and reliability. • Provide technical leadership and mentorship to development teams, fostering best practices in technology usage. • Conduct in-depth research on emerging trends and technologies to recommend strategic implementation. • Develop comprehensive documentation that outlines technology stack choices and best practices for the team. Requirements Requirements: • Bachelor's degree in Computer Science, Engineering, or a related field. • 7+ years of experience in product development with a deep understanding of various technology stacks. • Proven experience in designing and implementing complex applications using modern frameworks and technologies. • Strong knowledge of cloud platforms (AWS, Azure, Google Cloud) and their integrations. • Excellent analytical skills to assess technology alignments with business needs and make informed recommendations. • Exceptional communication and collaboration skills, with a demonstrated ability to engage effectively with diverse stakeholders. Preferred qualifications: • Master’s degree in a relevant field. • Experience with Agile methodologies and DevOps practices. • Familiarity with microservices architecture and containerization technologies (Docker, Kubernetes). • Relevant technical certifications in any modern programming languages or platforms. Benefits Why Join Us: Opportunity to work with a talented and passionate team. Competitive salary and benefits package. Exciting projects and innovative work environment.

Location: Riyadh, Saudi Arabia At Müller's Solutions, we are seeking a Quality Assurance and Testing Expert to ensure our software products meet the highest quality standards. This role is critical in developing and implementing effective testing strategies that improve product quality and enhance customer satisfaction. As a key member of our dynamic team, you will collaborate with developers, product managers, and other stakeholders to identify testing requirements and execute comprehensive testing processes. Key Responsibilities: Design, develop, and execute test plans, test cases, and test scripts based on project requirements. Perform functional, regression, performance, and usability testing to validate software functionality and performance. Identify, document, and track software defects, ensuring thorough follow-up until resolution. Collaborate with cross-functional teams to provide feedback and improve product quality throughout the development cycle. Analyze test results and provide detailed reports and presentations to stakeholders. Develop testing methodologies and ensure adherence to best practices in testing and quality assurance. Maintain up-to-date knowledge of industry trends and advancements in quality assurance and testing tools. Conduct training sessions for team members on best practices in testing and quality assurance. Requirements Requirements: Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. Minimum of 4 years of experience in quality assurance and testing in software development environments. Hands-on experience with automated testing tools such as Selenium, QTP, or equivalent. Strong understanding of software development life cycle (SDLC) and Agile methodologies. Excellent analytical and problem-solving skills. Proficient in writing clear and comprehensive test plans and test cases. Strong communication skills, both verbal and written, to effectively collaborate with team members. Ability to work independently and manage multiple priorities in a fast-paced environment. Relevant certifications (e.g., ISTQB, CSTE) are a plus.

Location: United Kingdom About Your Tasks Infrastructure Management Oversee the design, deployment, and maintenance of IT infrastructure, including servers, networks, storage systems, and other hardware and software components. Develop and implement strategies for infrastructure capacity planning, performance optimization, and disaster recovery. Ensure high availability and reliability of IT services through proactive monitoring and maintenance practices. Team Leadership Lead and manage a team of IT professionals, including network engineers, system administrators, and support staff. Foster a collaborative and innovative team environment, encouraging professional development and continuous learning. Set performance goals, conduct regular performance evaluations, and provide coaching and mentorship to team members. Security and Compliance Implement and enforce security policies and procedures to protect the organization's IT infrastructure from threats and vulnerabilities. Ensure compliance with industry regulations, standards, and best practices, such as GDPR, HIPAA, and ISO/IEC 27001. Conduct regular security assessments, audits, and penetration testing to identify and mitigate risks. Vendor and Stakeholder Management Manage relationships with external vendors and service providers, negotiating contracts and ensuring service level agreements (SLAs) are met. Collaborate with internal stakeholders, including executives, department heads, and project managers, to align IT infrastructure initiatives with business objectives. Communicate infrastructure status, issues, and recommendations to senior management in a clear and concise manner. Project Management Lead infrastructure projects from initiation to completion, ensuring they are delivered on time, within budget, and meet quality standards. Develop and manage project plans, budgets, and timelines, coordinating resources and stakeholders as needed. Monitor project progress, identify risks and issues, and implement corrective actions to keep projects on track. Innovation and Improvement Stay current with emerging technologies and industry trends, evaluating their potential impact on the organization's IT infrastructure. Identify opportunities for infrastructure improvement and innovation, driving initiatives to enhance performance, scalability, and efficiency. Foster a culture of continuous improvement, encouraging the adoption of best practices and new technologies. Requirements Education and Experience Bachelor's degree in Computer Science, Information Technology, or a related field. A master's degree or relevant certifications (e.g., Cisco, Microsoft) is a plus. At least 5-7 years of experience in IT infrastructure management, with a proven track record of leading and managing infrastructure teams. Extensive knowledge of IT infrastructure components, including networking, servers, storage, virtualization, and cloud technologies. Experience of technologies such as Veeam, SQL, Office 365, VMware would be advantageous. Technical Skills Proficiency in network and system administration, including experience with routers, switches, firewalls, and load balancers. Strong understanding of virtualization technologies (e.g., VMware, Hyper-V) and cloud computing platforms (e.g., AWS, Azure, Google Cloud). Familiarity with IT service management frameworks (e.g., ITIL) and project management methodologies (e.g., Agile, Scrum). Soft Skills Excellent leadership and team management skills, with the ability to inspire and motivate team members. Strong analytical and problem-solving abilities, with a keen attention to detail. Effective communication and interpersonal skills, with the ability to collaborate with stakeholders at all levels of the organization. Demonstrated ability to manage multiple projects and priorities in a fast-paced environment.

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role: You want to build and run elegant and thorough machine learning experiments to help us understand and steer the behavior of powerful AI systems. You care about making AI helpful, honest, and harmless, and are interested in the ways that this could be challenging in the context of human-level capabilities. You could describe yourself as both a scientist and an engineer. As a Research Engineer on Alignment Science, you'll contribute to exploratory experimental research on AI safety, with a focus on risks from powerful future systems (like those we would designate as ASL-3 or ASL-4 under our Responsible Scaling Policy ), often in collaboration with other teams including Interpretability, Fine-Tuning, and the Frontier Red Team. Our blog provides an overview of topics that the Alignment Science team is either currently exploring or has previously explored. Our current topics of focus include... Scalable Oversight: Developing techniques to keep highly capable models helpful and honest, even as they surpass human-level intelligence in various domains. AI Control: Creating methods to ensure advanced AI systems remain safe and harmless in unfamiliar or adversarial scenarios. Alignment Stress-testing : Creating model organisms of misalignment to improve our empirical understanding of how alignment failures might arise. Automated Alignment Research: Building and aligning a system that can speed up & improve alignment research. Alignment Assessments : Understanding and documenting the highest-stakes and most concerning emerging properties of models through pre-deployment alignment and welfare assessments (see our Claude 4 System Card ) , misalignment-risk safety cases, and coordination with third-party evaluators. Safeguards Research : Developing robust defenses against adversarial attacks, comprehensive evaluation frameworks for model safety, and automated systems to detect and mitigate potential risks before deployment. Model Welfare: Investigating and addressing potential model welfare, moral status, and related questions. See our program announcement and welfare assessment in the Claude 4 system card for more. Note: For this role, we conduct all interviews in Python and prefer candidates to be based in the Bay Area. Representative projects: Testing the robustness of our safety techniques by training language models to subvert our safety techniques, and seeing how effective they are at subverting our interventions. Run multi-agent reinforcement learning experiments to test out techniques like AI Debate . Build tooling to efficiently evaluate the effectiveness of novel LLM-generated jailbreaks. Write scripts and prompts to efficiently produce evaluation questions to test models’ reasoning abilities in safety-relevant contexts. Contribute ideas, figures, and writing to research papers, blog posts, and talks. Run experiments that feed into key AI safety efforts at Anthropic, like the design and implementation of our Responsible Scaling Policy . You may be a good fit if you: Have significant software, ML, or research engineering experience Have some experience contributing to empirical AI research projects Have some familiarity with technical AI safety research Prefer fast-moving collaborative projects to extensive solo efforts Pick up slack, even if it goes outside your job description Care about the impacts of AI Strong candidates may also: Have experience authoring research papers in machine learning, NLP, or AI safety Have experience with LLMs Have experience with reinforcement learning Have experience with Kubernetes clusters and complex shared codebases Candidates need not have: 100% of the skills needed to perform the job Formal certifications or education credentials The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $350,000 — $500,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Limassol; Nicosia; Athens; Thessaloniki; Fully Remote - in other eligible locations Workplace: hybrid The Role:   We are looking for a Senior Performance Test Engineer to join our high-performing team and contribute to the performance, scalability, and reliability of our trading platforms. This role involves hands-on performance testing and analysis in a high-throughput, low-latency environment, collaborating closely with development and infrastructure teams to ensure system efficiency and stability.    You will work with modern tools and practices, leveraging K6 with JavaScript/TypeScript, containerized environments (Docker, Kubernetes), and cloud-native performance strategies. While this is a technical role, there may be opportunities to mentor and guide engineers on the team as your role evolves. The main responsibilities of the position include: Define and refine performance testing strategy across the company Develop and maintain performance testing scripts using K6 and JavaScript/TypeScript, focusing on reusable and scalable testing approaches Execute various types of performance tests (load, stress, soak) on REST and GraphQL APIs Monitor and analyze test results using tools like Grafana and Prometheus, providing actionable recommendations Collaborate with engineering teams to identify and troubleshoot system performance bottlenecks Apply performance best practices in Spring Boot, JVM, and microservice-based environments Integrate performance tests into CI/CD pipelines (GitLab, Jenkins) to enable continuous validation May take on mentorship or leadership responsibilities over engineers within the team over time Main requirements: BSc/MSc in Computer Science, or related discipline 5+ years of hands-on experience in QA 2+ years of experience in performance testing using tools like K6 or Gatling Proficiency in JavaScript/TypeScript for writing test scripts Strong experience in API performance testing (REST, GraphQL), including rate limiting and caching strategies Familiarity with Spring Boot applications and microservices architecture Experience working in Docker/Kubernetes environments, including performance-related configurations (HPA, resource limits, etc.) Proficiency with monitoring/observability tools such as Grafana, Prometheus, etc. Experience integrating testing into CI/CD pipelines (GitLab CI, Jenkins) The following will be considered an advantage: Experience with gRPC, WebSockets, and HTTP/2 performance testing JVM tuning and database performance optimization expertise Familiarity with cloud-native performance strategies and service mesh technologies (Istio, Linkerd) Exposure to distributed tracing tools like Jaeger or OpenTelemetry Experience in managing/leading a team Benefit from: Attractive remuneration package Intellectually stimulating work environment Continuous personal development and international training opportunities The Hiring Experience: What Awaits You Let’s Connect – Intro Chat with Talent Acquisition Deep Dive – First Interview with Your Future Team Final Connection – Final Interview All applications will be treated with strict confidentiality!   By submitting this application, I confirm that I have read and agree to the terms of the Privacy and Data Protection Notice and the Confidentiality Undertaking.

Location: Thessaloniki; Athens; Limassol; Nicosia Workplace: hybrid The Role:  If you are a Senior Cloud Engineer there may be a place for you at our Group. Outside the usual suspects of solutions, projects, deep troubleshooting and investigations you will also be driving the Group towards its cloud-native goal. Processes, best practices, pillars and their risk assessments will be but a few of the long-term responsibilities you will have. The main responsibilities of the position include: Honour and practice Well Architected Framework in all tasks and responsibilities Research workloads for migrating them to the cloud with minimal interruption and impact Design, orchestrate and track cloud migration projects Design and consult re-platform and re-factor of current cloud infrastructure Coordinate with other IT departments and teams about their cloud infrastructure Investigate and perform regular assessments of cloud deployments in compliance to the Group's standards and best practices Design and orchestrate a risk register of cloud deployments and resources, and coordinate its communication to project managers, senior leadership and other IT departments or teams Research, develop and implement fair use policies and best practices for cloud services while complying to the Group's standards Drive requests for new technologies, services or solutions required from internal customers Design, document and deploy Proof-of-Concepts (PoCs) and Solutions for internal customers in compliance with the Group's framework Define and oversee the Group's deployment standards and pillars and ensure they are applied across cloud solutions and resources Follow and provide training for new and current technologies and services used Analyse, oversee and remediate cloud costs Main requirements: University degree in Computer Science, Engineering or a similar discipline 5 years of cloud services experience, 3 of which should be on AWS cloud Advanced knowledge in solution design and deployment projects Understanding and practice of Well Architected Framework Methodical troubleshooting of issues and mentoring capabilities Experience in AWS technologies, services and ecosystem Advanced knowledge of Infrastructure as Code (IaC) concepts and tools, preferably HCL Terraform and AWS CloudFormation Experience with versioning tools such as git Advanced Linux, networking and scripting skills (Bash) Comprehend and accommodate practices such as FinOPS or SRE Distinctive organisation and documentation skills The following will be considered an advantage: Experience in Windows OS Experience in RDBMSs, preferably Postgres and MySQL Experience in scripting languages such as Python or Go Benefit from: Attractive remuneration package plus performance-based reward Private health insurance Corporate pension fund Intellectually stimulating work environment Continuous personal development and international training opportunities All applications will be treated with strict confidentiality!   By submitting this application, I confirm that I have read and agree to the terms of the Privacy and Data Protection Notice and the Confidentiality Undertaking.

Location: Lagos, Nigeria About Renmoney Renmoney is a leading Nigerian fintech on a mission to make financial inclusion simple, accessible, and rewarding. As we scale our digital presence, we’re looking for a talented Product Manager to own and drive the user experience across our mobile app and web platforms, ensuring our customers enjoy frictionless access to loans, savings, bill payments, transfers, and account management features. Role Summary The Product Manager for Front-End Channels will lead the strategy, execution, and continuous optimization of Renmoney’s Mobile and Web customer-facing platforms. You will work with cross-functional squads — including engineering, design, QA, marketing, and business stakeholders — to create intuitive and delightful digital journeys that drive engagement, conversion, and revenue growth. Key Responsibilities Product Strategy & Vision - Define and champion a compelling product vision for Mobile and Web channels, aligned with Renmoney’s business goals of increasing customer acquisition, retention, and transaction volume. UX Optimization - Lead UI/UX revamps to improve usability, accessibility, and inclusiveness, especially for non-tech-savvy users. Partner with design to ensure consistency, performance, and visual appeal. Execution & Delivery - Own the product backlog. Prioritize features, manage sprints, and coordinate across Engineering, QA, DevOps, and BA teams to deliver timely, high-quality updates. Customer-Centric Design - Use customer feedback, usability testing, and behavioral analytics to optimize onboarding, in-app navigation, and key feature adoption. Conversion & Engagement - Drive improvements in loan funnel conversion, savings engagement, and transaction completion. Proactively reduce drop-offs and increase session stickiness. Cross-functional Collaboration - Collaborate with Lending, Banking, Risk, Customer Service, and Marketing teams to ensure platform scalability, compliance, and readiness for new initiatives. Compliance & Regulation - Ensure all front-end features meet Nigerian fintech regulatory and data privacy standards. - Advocate for inclusive design to drive financial access. Release Management - Plan and coordinate beta rollouts, production deployments, and emergency hotfixes in collaboration with DevOps and QA. Product Analytics - Define and monitor KPIs — including activation, MAU/WAU, churn, drop-off points — using tools like Firebase, Mixpanel, and Google Analytics Requirements 5+ years of Product Management experience in fintech or digital banking; 3+ years managing mobile/web platforms with proven outcomes in user growth and engagement. Technical Exposure - Understanding of REST APIs, mobile/web architecture, analytics integration, and Agile methodologies. Tools Proficiency - JIRA, Confluence, Figma, Miro, Productboard (or equivalent), Firebase/Mixpanel, Google Analytics. SQL is a plus. Bachelor’s in Computer Science, Engineering, Finance, or related field. MBA or Product certifications (e.g., Pragmatic, AIPMM) is a plus. Soft Skills - Strong ownership mindset, analytical thinking, storytelling ability, cross-functional leadership, and stakeholder influence at C-level. Key Performance Indicators (KPIs) - Mobile App Conversion Rates (Loan Applications, Savings, Bill Pay) - Weekly & Monthly Active Users (WAU, MAU) - Onboarding Funnel Completion Rate - Customer Retention & Churn (Mobile & Web) - App Store Ratings and Reviews - Page Speed, Uptime, and Hotfix Delivery Time Benefits - Impact: Shape the face of digital banking in Nigeria by delivering intuitive and life-changing user experiences. - Ownership: Lead end-to-end product journeys with autonomy and measurable results. - Growth: Work in a data-driven, agile, and collaborative environment with opportunities to grow into senior leadership. - Flexibility: Hybrid work options, performance-based rewards, and a culture that values innovation, empathy, and diversity.

Location: Home based - Worldwide Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office-based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution. The company is founder-led, profitable, and growing. We are hiring an MLOps Field Engineer to help global companies embrace AI/ML in their business, using the latest open source capabilities on public and private cloud infrastructure, Linux and Kubernetes. Our team applies expert insights to real-world customer problems, enabling the enterprise adoption of Ubuntu, Kubeflow, MLFlow, Feast, DVC and related analytics, machine learning and data technologies. We are working to create the world's best open source data platform, covering traditional SQL databases and today's NoSQL data stores, as well as the machinery which turns data into insights and executable models. The people who love this role are MLOps engineers who enjoy customer conversations and solving customer problems during the presales cycle. They are solutions architects who like to solve customer problems through architecture, presentations and training. This role is highly focused on designing ML architectures for external customers. It is not a software development role. This role is particularly suited to candidates with a technical background who are business minded and driven by commercial success. This role is on our global Field Engineering team and will work closely with enterprise sales leads. We are specifically looking for people interested in solving the most difficult problems in modern data architectures. Training LLMs on multiple Kubernetes clusters deployed on a hybrid cloud infrastructure with GPU sharing across multiple teams? Processing 10M events in real time for financial transactions? Object detection on 10k parallel 4K video streams? These are the problems we solve day to day. Location : Most of our colleagues work from home. We are growing teams in EMEA, Americas and APAC time zones, so can accommodate candidates from almost any country. What your day will look like The global Field Engineering team members are Linux and cloud solutions architects for our customers, designing private and public cloud solutions fitting their workload needs. They are the cloud consultants who work hands-on with the technologies by deploying, testing and handing over the solution to our support or managed services team at the end of a project. They are also software engineers who use Python to develop Kubernetes operators and Linux open source infrastructure-as-code. Work across the entire Linux stack, from kernel, networking, storage, to applications, Architect cloud infrastructure solutions like Kubernetes, Kubeflow, OpenStack and Spark, Deliver solutions either on-premise or in public cloud (AWS, Azure, Google Cloud), Collect customer business requirements and advise them on Ubuntu and relevant open source applications, Grow a healthy, collaborative engineering culture in line with the company values, Deliver presentations and demonstrations of Ubuntu Pro and AI/ML capabilities to prospective and current clients, Liaise with product teams to give them feedback on requirements to influence roadmap, Work collaboratively with your sales team to reach our common targets, Global travel up to 30% of time for internal, external events and customer meetings. What we are looking for in you Exceptional academic track record from both high school and university, Undergraduate degree in a technical subject or a compelling narrative about your alternative chosen path, Experience in data engineering, MLOps, or big data solutions deployment, Experience with a relevant programming language, like Python, R, or Rust, Confidence to respectfully speak up, exchange feedback, and share ideas without hesitation, Track record of going above-and-beyond expectations to achieve outstanding results, Demonstrated personal interest in continuous learning and development, Practical knowledge of Linux, virtualization, containers and networking, Business-minded technology thinker and problem solver, Knowledge of cloud computing concepts & leaders, such as Kubernetes, AWS, Azure, GCP, Interest in large-scale enterprise open source - private clouds, machine learning and AI, data and analytics, Intermediate level Python programming skills, Passion for technology evidenced by personal projects and initiatives, The work ethic and confidence to shine alongside motivated colleagues, Professional written and spoken English with excellent presentation skills, Experience with Linux (Debian or Ubuntu preferred), Excellent interpersonal skills, curiosity, flexibility, and accountability, A dynamic person who loves to jump in new projects and interact with people, Appreciative of diversity, polite and effective in a multi-cultural, multi-national organisation, Thoughtfulness and self-motivation, Result-oriented, with a personal drive to follow up and meet commitments, Ability to travel internationally, for company events up to two weeks long, and customer or industry meetings. What you’ll learn Architect and deploy AI/ML infrastructures, data processing pipelines and multi-cluster distributed training, Wide range of open source applications and skills, Work directly with customers in a range of different businesses, Real-life and hands-on exposure to a wide range of emerging technologies and tools. What we offer colleagues We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognize outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally. Distributed work environment with twice-yearly team sprints in person Personal learning and development budget of USD 2,000 per year Annual compensation review Recognition rewards 40 days annual leave per annum, including public holidays and our All Company holiday periods Maternity and paternity leave Team Member Assistance Program & Wellness Platform Opportunity to travel to new locations to meet colleagues Priority Pass and travel upgrades for long-haul company events About Canonical Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open-source projects and the platform for AI, IoT, and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence; in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since our inception in 2004.​ Working here is a step into the future and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration. #LI-remote

Location: Lagos, Nigeria; Russia We are looking for a Data Science Manager with a strong background in managing data-driven solutions to lead a high-performing DS team within the banking sector. This role combines ML expertise, team leadership, and cross-functional communication, with a focus on scorecard development, model performance, and portfolio risk monitoring. Responsibilities Advanced ML-modeling and data-exploration: ensembles and AI-algorithms, AI-initiatives management, external AI-services integration. Focus on models and solutions for: credit, fraud, marketing, collection and contact strategies, text, speech and behavioral analytics, dynamic pricing and limits. Stakeholders' expectations management: communication with risk (portfolio) team, collection team, other business units on score-modelling and backlog prioritization, task clarification. DS-team management: recruitment, training, performance improvement, scrum-servicing, task-management. Improvement DS-team communication with consumers and business needs understanding. Environment, process and tools management: git, Jira board, Confluence content, Agile rituals. ML-data management: colabration with DWH-team; data-availability, reliability and quality assessment; new/existent data-sources integrations support and management, data-flow stability control, feature-store administation. ML-model lifecycle management: from business needs identification to "sell", deployment and production-test stage. ML-models stability monitoring and quality control, reassessment and proactive quality improvement (re-calibration/ re-building). Knowledge management: Maintain up-to-date project documentation, implement standards, control discipline and maintain actuality for confluence descriptions, feature-store meta-data, git documentation, internal experience sharing and handover, new methodologies and tools review and implementation. Requirements Demonstrated experience working in fintech or banking, especially within emerging markets. Hands-on experience developing ML scoring models for text, speech, behavioral analytics, and dynamic modeling in card businesses. Strong programming skills in Python and SQL for data analysis, modeling, and automation. Proven experience with machine learning techniques, including: Regression, classification, ranking, boosting Graph-based models, neural networks, NLP, and large language models (LLMs) Solid understanding and practical implementation of AI concepts and systems. Familiarity with MLOps, including data pipelines, model deployment, and productionizing machine learning solutions. Experience with cloud computing platforms, especially AWS (highly preferred). Proficiency with BI and data visualization tools such as PowerBI, Excel, Tableau, or Grafana. Prior exposure to risk management or analytics, particularly within the cards or payments space. Strong grasp of Agile and Scrum methodologies in a data or engineering environment. Excellent communication and presentation skills, with the ability to simplify complex data concepts for both technical and non-technical audiences. Fluent in spoken English.

Location: Athens; Limassol; Nicosia; Thessaloniki; Fully Remote - in other eligible locations Workplace: hybrid The Role: You will join a team working with cutting-edge technologies and striving to utilise cloud services to the maximum. Your role will be to provide the necessary infrastructure using Terraform, develop CI/CD pipelines in GitLab or Jenkins, and create automations to support the development teams. Additionally, you will ensure that the underlying infrastructure runs smoothly, and the systems and tools work as expected. You'll be responsible for helping developers with troubleshooting and providing consultation in case of alerts.   As a senior engineer, you will also take ownership of specific domains or projects within the business, leading technical direction and ensuring alignment with strategic goals. You will play a key role in mentoring and overseeing other engineers, fostering collaboration, sharing best practices, and helping to drive continuous improvement across the team. The main responsibilities of the position include: Collaborate with the development teams to plan, deploy and administer applications running on AWS and Kubernetes Maintain the AWS infrastructure using Infrastructure as Code principles and Terraform Initiate and drive the adoption of technologies and use of good patterns for development and operations Mentoring and overseeing other engineers Lead and manage specific technical domains or projects, ensuring architectural consistency, scalability, and alignment with business objectives Oversee and improve engineering processes and practices, identifying opportunities for automation, optimization, and enhanced system reliability Implement and oversee cloud migration projects Provide guidance for re-platform and re-factor of current cloud infrastructure Communicate to the senior leadership, the cloud migration projects progress Preserve business continuity 24/7 with minimum downtime and financial impact Investigate and perform regular assessments of cloud deployments in compliance with the company’s standards and best practices Ensure the Company’s deployment standards and pillars are followed in cloud solutions and resources Stay up to date with the latest tools and trends in the industry Follow and provide training regarding new and current technologies and services used Main requirements: BSc/MSc in Computer Science, or a similar discipline Overall knowledge of solution design and deployment projects Experience with Docker Experience in or knowledge of CI/CD with GitLab and/or Jenkins Experience in AWS technologies, services and ecosystem Experience with Kubernetes Knowledge of Infrastructure as Code (IaC) concepts and tools, preferably Terraform Experience with versioning tools such as Git Distinctive organisation and documentation skills Excellent time management skills Essential Linux and Windows admin, networking and scripting skills Benefit from: Attractive remuneration package plus performance-based reward Intellectually stimulating work environment Continuous personal development and international training opportunities The Hiring Experience: What Awaits You Show Your Skills – Online Technical Challenge Let’s Connect – Intro Chat with Talent Acquisition Deep Dive – First Interview with Your Future Team Final Connection – Final Interview All applications will be treated with strict confidentiality!   By submitting this application, I confirm that I have read and agree to the terms of the Privacy and Data Protection Notice and the Confidentiality Undertaking.

Location: Munich, Germany Our client is a global leader in industrial intelligence, industrial automation, and cyber security. For over 30 years, they have served industry leaders in oil and gas, utilities, FMCG, and manufacturing. With over 600 engineers on six continents and offices in more than 12 locations, they bring global expertise to the dynamic German market. Their mission is to revolutionize enterprises with cutting-edge AI and intelligent solutions. They integrate state-of-the-art AI technologies and enterprise solutions to enhance decision-making, optimize processes, and drive digital excellence. Join them in shaping the future of AI and enterprise solutions and be a part of a journey that combines intelligence, technology, and a commitment to excellence. Diversity Statement : “Our client is an equal opportunity employer. They welcome applications from all qualified individuals regardless of gender, age, disability, sexual orientation, race, religion, or belief. They are committed to creating an inclusive environment for all employees.” Position Overview: The Sales Manager will be responsible for driving sales growth across all product & service lines, including AI products, software solutions, and digitalization services. This role requires a strong sales background, excellent communication skills, and a proven track record in selling technology solutions. Key Responsibilities: Develop and implement strategic sales plans to grow the customer base in Germany. Identify and pursue new business opportunities through market research and proactive outreach. Build and maintain strong relationships with key stakeholders, ensuring high levels of customer satisfaction. Prepare and deliver impactful sales presentations and product demonstrations. Lead negotiations to close deals and achieve sales targets. Work closely with marketing, technical, and product development teams to ensure alignment with sales strategies. Gather and analyze market feedback to inform product development and marketing strategies. Requirements Bachelor’s or master’s degree in business, Marketing, Computer Science, Engineering, or a related field. Proven sales experience in AI, software, or technology sectors, within the German market. Strong understanding of the German market, including local business practices and regulatory environment. Demonstrated success in developing and executing sales strategies, with a track record of meeting or exceeding targets. Knowledge of AI technologies, software solutions, digitalization, and cybersecurity. Fluent in German and English, with excellent verbal and written communication abilities. Strong networking skills and the ability to build and maintain long-term client relationships. Proven ability to effectively negotiate and close deals. Ability to work collaboratively with cross-functional and global teams. A willingness to travel as needed to meet with clients or teams or attend industry events. Benefits Competitive salary based on experience. Opportunities for career growth and professional development. Innovative work environment focused on AI and technology. Office presence in Munich. Inclusive and supportive team culture. Regular training and development programs to enhance your skills. Join the company and be part of a team that’s shaping the future of AI in Germany!

Location: Cape Town, South Africa Workplace: remote WELCOME TO OLX   Software innovation is the driving force behind the success of Property24. We strive for outstanding user experiences on our websites, desktop, and mobile applications. We've created the leading property marketplaces in SA and Kenya, and are by no means finished. Join the tech-savvy team where quality, scale and performance are the foundations of our success. We're always growing our products, so if you're one of SA's talented Software Developers, then you'd be a great addition to our team.     At OLX, we're building marketplace sustainable ecosystems that millions of people depend on every month – to buy and sell cars, find homes, land jobs, and trade secondhand goods. It's commerce that matters: safe, smart, and environmentally responsible. We do this with courage to innovate, commitment to outcomes, collaboration across 50+ nationalities and 7 markets, and a customer-led approach that puts real people first. Add a desire to win – and you get a culture that's ambitious, fast-moving, and built on trust. Our brands –  AutoTrader, OLX, Otomoto, Property24, and more – are loved by millions. And we're backed by Prosus, one of the world's largest tech investors.   Join OLX and see how far you can go. This role is open as remote for all candidates based in South Africa.     We are looking for someone who: Likes building websites, backend systems or mobile applications. We are building a worldwide platform and need your help to succeed. If you are all about software development, performance, scale and user experience then come and be part of our dedicated and successful team. Requirements: Minimum 5 years' experience with C# University or related Computer Science degree/diploma South African citizenship Advantageous: Web Technologies (HTML, CSS, BootStrap, LESS etc) Microsoft Web Stack (MVC, C#, Razor, IIS, ASP.Net etc) Mobile Application Development (iOS, Mono, Android, Java etc) High performance/scale technologies (Caching, Load Balancing, Profiling, Indexing etc) Relational Databases (Microsoft SQL) Does this sound like you? Good attention to detail Open to and willing to give critique Genuinely interested in coming up with the best solution Constantly learning about the things they are busy with and sharing with others What we offer: Working with latest development tools Fast development environment No constant overtime to meet deadlines Guidance from and access to some very talented people At Property24, we're passionate about creating the experiences for our users and customers that we'd love to have ourselves. So why not join our team.   Our employments equity goals will be taken into account in our selection process. If we're blown away by your CV, we'll call you in for an interview. We'll give you a warm welcome, a quick test to challenge your mind and a chat to weigh up your skills and personality - simple, right? If you get the job, be prepared for a pretty great adventure! We look forward to meeting you.   To support our commitment to diversity, inclusion, and compliance with South Africa’s Employment Equity Act, we collect gender and race information to help us monitor and promote equal opportunities. Please note that this information is confidential and does not influence hiring decisions, which are based solely on qualifications and experience.   Diversity, Equity and Inclusion at OLX OLX values diversity and welcomes applicants of all races, ethnicities, disabilities, ages, genders, sexual orientations, religions, backgrounds, and experiences to apply. If this role excites you, we encourage you to apply, even if you don’t meet all the requirements - you may be just the right fit for this or other opportunities with us!   OLX will process your personal data to assess your fit for the applied position. You may optionally consent to store your data for up to 12 months after the application process for consideration in future OLX roles. For more details on how your application data will be processed please check our Privacy Statement.

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 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. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $350,000 — $500,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the teams Our Reinforcement Learning teams lead Anthropic's reinforcement learning research and development, playing a critical role in advancing our AI systems. We've contributed to all Claude models, with significant impacts on the autonomy and coding capabilities of Claude Sonnet 4.5 and Opus 4.5. Our work spans several key areas: Developing systems that enable models to use computers effectively Advancing code generation through reinforcement learning Pioneering fundamental RL research for large language models Building scalable RL infrastructure and training methodologies Enhancing model reasoning capabilities We collaborate closely with Anthropic's alignment and frontier red teams to ensure our systems are both capable and safe. We partner with the applied production training team to bring research innovations into deployed models, and are dedicated to implement our research at scale. Our Reinforcement Learning teams sit at the intersection of cutting-edge research and engineering excellence, with a deep commitment to building high-quality, scalable systems that push the boundaries of what AI can accomplish. About the Role As a Research Engineer within Reinforcement Learning, you will collaborate with a diverse group of researchers and engineers to advance the capabilities and safety of large language models. This role blends research and engineering responsibilities, requiring you to both implement novel approaches and contribute to the research direction. You'll work on fundamental research in reinforcement learning, creating 'agentic' models via tool use for open-ended tasks such as computer use and autonomous software generation, improving reasoning abilities in areas such as mathematics, and developing prototypes for internal use, productivity, and evaluation. Representative projects: Architect and optimize core reinforcement learning infrastructure, from clean training abstractions to distributed experiment management across GPU clusters. Help scale our systems to handle increasingly complex research workflows. Design, implement, and test novel training environments, evaluations, and methodologies for reinforcement learning agents which push the state of the art for the next generation of models. Drive performance improvements across our stack through profiling, optimization, and benchmarking. Implement efficient caching solutions and debug distributed systems to accelerate both training and evaluation workflows. Collaborate across research and engineering teams to develop automated testing frameworks, design clean APIs, and build scalable infrastructure that accelerates AI research. You may be a good fit if you: Are proficient in Python and async/concurrent programming with frameworks like Trio Have experience with machine learning frameworks (PyTorch, TensorFlow, JAX) Have industry experience in machine learning research Can balance research exploration with engineering implementation Enjoy pair programming (we love to pair!) Care about code quality, testing, and performance Have strong systems design and communication skills Are passionate about the potential impact of AI and are committed to developing safe and beneficial systems Strong candidates may have: Familiarity with LLM architectures and training methodologies Experience with reinforcement learning techniques and environments Experience with virtualization and sandboxed code execution environments Experience with Kubernetes Experience with distributed systems or high-performance computing Experience with Rust and/or C++ Strong candidates need not have: Formal certifications or education credentials Academic research experience or publication history Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $500,000 — $850,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: ikoyi, Nigeria About Renmoney: Renmoney is a leading Nigerian fintech company dedicated to transforming financial inclusion through innovative lending, savings, and banking solutions. Powered by cutting-edge technology and data-driven insights, we craft exceptional user experiences that empower millions of customers to achieve financial freedom. Role Overview : As a Senior Product Designer at Renmoney, you’ll spearhead the design strategy and execution for our digital financial products, including mobile apps, web platforms, and internal tools. Collaborating with Product Managers, Engineers, and key stakeholders, you’ll deliver intuitive, impactful designs that boost customer satisfaction, drive product adoption (e.g., achieving 20%+ growth in user engagement), and fuel business success. Key Responsibilities: Own the end-to-end user experience and interface design for Renmoney’s digital products and front-end channels delivering solutions that  increase user acquisition, engagement and retention Partner with Product Managers and Engineers to transform business goals into user-centric designs, consistently shipping  high-impact product features. Conduct user research, usability testing, and iterate based on insights to refine designs, targeting a 90%+ user satisfaction score. Create wireframes, interactive prototypes, and pixel-perfect visual designs using tools like Figma. Maintain and evolve our design system to ensure consistency across platforms. Advocate for design thinking and user-first principles across the organization. Mentor  junior designers, helping them grow into confident contributors. Requirements Bachelor’s degree or equivalent in Design, Human-Computer Interaction (HCI), or a related field. 5+ years of professional experience in product design or UX/UI, ideally in fintech, banking, or tech-driven industries. A robust portfolio showcasing digital/mobile design projects with measurable outcomes (e.g., improved conversion rates or user engagement). Proficiency with design tools like Figma, Adobe XD, or Sketch. Proven experience thriving in agile, cross-functional teams. Exceptional communication skills to articulate design rationale to diverse stakeholders. Skills & Competencies: Expertise in UX/UI principles, user research, and scalable design systems. Sharp eye for detail, paired with creative and analytical problem-solving. Ability to juggle user needs, business objectives, and technical feasibility with finesse. Strong leadership and mentorship skills to elevate team performance. Benefits Shape the future of fintech in Nigeria with products that reach millions, backed by a competitive salary plus performance bonuses and health benefits. Thrive in a fast paced work environment with flexibility, collaboration, and access to cutting-edge tools. Join a diverse, inclusive team where all voices are valued, and professional growth is a priority. Our Commitment: At Renmoney, we’re building a workplace that reflects the diversity of the communities we serve. We welcome applicants of all backgrounds and are committed to fostering an equitable, inclusive environment. If you’re passionate about designing digital experiences that transform lives, apply today!

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: You want to build and run elegant and thorough machine learning experiments to help us understand and steer the behavior of powerful AI systems. You care about making AI helpful, honest, and harmless, and are interested in the ways that this could be challenging in the context of human-level capabilities. You could describe yourself as both a scientist and an engineer. As a Research Engineer on Alignment Science, you'll contribute to exploratory experimental research on AI safety, with a focus on risks from powerful future systems (like those we would designate as ASL-3 or ASL-4 under our Responsible Scaling Policy ), often in collaboration with other teams including Interpretability, Fine-Tuning, and the Frontier Red Team. Our blog provides an overview of topics that the Alignment Science team is either currently exploring or has previously explored. For the London team, we are opportunistically hiring for the following research areas: AI Control: Creating methods to ensure advanced AI systems remain safe and harmless in unfamiliar or adversarial scenarios. Alignment Stress-testing : Creating model organisms of misalignment to improve our empirical understanding of how alignment failures might arise. Note: Currently, the team's hub is in San Francisco, so we require all candidates to be based at least 25% in London and travel to San Francisco occasionally. Additionally, we are prioritizing growing our San Francisco teams, so you may not hear back on your application to the London team unless we see an unusually strong fit. For this role, we conduct all interviews in Python. Representative Projects: Testing the robustness of our safety techniques by training language models to subvert our safety techniques, and seeing how effective they are at subverting our interventions. Run multi-agent reinforcement learning experiments to test out techniques like AI Debate . Build tooling to efficiently evaluate the effectiveness of novel LLM-generated jailbreaks. Write scripts and prompts to efficiently produce evaluation questions to test models’ reasoning abilities in safety-relevant contexts. Contribute ideas, figures, and writing to research papers, blog posts, and talks. Run experiments that feed into key AI safety efforts at Anthropic, like the design and implementation of our Responsible Scaling Policy . You may be a good fit if you: Have significant software, ML, or research engineering experience Have some experience contributing to empirical AI research projects Have some familiarity with technical AI safety research Prefer fast-moving collaborative projects to extensive solo efforts Pick up slack, even if it goes outside your job description Care about the impacts of AI Strong candidates may also: Have experience authoring research papers in machine learning, NLP, or AI safety Have experience with LLMs Have experience with reinforcement learning Have experience with Kubernetes clusters and complex shared codebases Candidates need not have: 100% of the skills needed to perform the job Formal certifications or education credentials 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: £260,000 — £370,000 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: Dubai, United Arab Emirates About Müller's Solutions: Müller's Solutions is an industry-leading SAP consulting firm dedicated to delivering innovative solutions that empower businesses to maximize their SAP investments. Our team of experienced professionals is committed to providing tailored services that drive efficiency and effectiveness in data management and analytics. Job Overview: We are seeking a skilled SAP Analytics Cloud (SAC) Consultant for a 3-month contract that could be extended based on project needs. In this role, you will be responsible for implementing and supporting SAP Analytics Cloud solutions to enhance reporting, visualization, and data analysis capabilities for our clients. You will collaborate closely with business stakeholders to gather requirements and create meaningful insights. Requirements Requirements: Bachelor's degree in Computer Science, Data Science, Information Systems, or a relevant field. A minimum of 3 years of experience working with SAP Analytics Cloud (SAC) or similar BI tools. Hands-on experience with SAC for data modeling, storytelling, and dashboard creation. Experience in connecting SAC with various SAP and non-SAP data sources. Demonstrated experience in Integrated Financial Planning (Standard). Strong understanding of best practices for visualization, reporting, and analytics. Experience integrating SAP Analytics Cloud with SAP BW, SAP HANA, or other data sources. Knowledge of data preparation, ETL processes, and data transformation best practices. Excellent analytical and problem-solving skills to evaluate business requirements and provide effective solutions. Strong communication skills to effectively interface with clients and gather requirements. Ability to work independently and collaboratively in a fast-paced environment. SAC certification is a plus but not mandatory.