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Location: Dubai, United Arab Emirates About Müller's Solutions: Müller's Solutions is a premier SAP consulting firm focused on helping organizations leverage the power of SAP technologies to drive business performance. Our dedicated team is committed to delivering innovative, cutting-edge solutions tailored to meet our clients' unique requirements, enabling them to excel in a data-driven world. Job Overview: We are currently seeking an experienced SAP Analytics Cloud (SAC) Lead for a 3-month contract. In this leadership role, you will be responsible for overseeing the implementation of SAP Analytics Cloud solutions, ensuring that they meet the analytical and reporting needs of our clients. You will lead a team of consultants and work closely with business stakeholders to deliver comprehensive analytics capabilities that drive informed decision-making. Requirements Requirements: Bachelor's degree in Computer Science, Business Analytics, Information Systems, or a related field. Minimum of 5 years of experience working with SAP Analytics Cloud (SAC), with a strong emphasis on leadership and project management. Proven expertise in implementing and optimizing SAC for analytics, reporting, and visualization. Strong knowledge of data modeling, dashboarding, and storytelling within SAP Analytics Cloud. Experience with integrating SAC with SAP BW, SAP HANA, and other data sources. Demonstrated ability to lead a team of consultants and foster collaboration across departments. Excellent verbal and written communication skills for effective stakeholder engagement and requirements gathering. Strong analytical skills to evaluate business processes and provide actionable insights. Ability to develop and maintain strong relationships with clients and stakeholders. SAC certification is highly preferred. Willingness to adapt to changing project needs and 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 Team Our team is organized around the north star goal of building an AI scientist – a system capable of solving the long term reasoning challenges and basic capabilities necessary to push the scientific frontier. Our team likes to think across the whole model stack. Currently the team is focused on improving models' abilities to use computers – as a laboratory for long horizon tasks and a key blocker to many scientific workflows. About the role As a Research Engineer on our team you will work end to end, identifying and addressing key blockers on the path to scientific AGI. Strong candidates should have familiarity with language model training, evaluation, and inference, be comfortable triaging research ideas and diagnosing problems and enjoy working collaboratively. Familiarity with performance optimization, distributed systems, vm/sandboxing/container deployment, and large scale data pipelines is highly encouraged. Join us in our mission to develop advanced AI systems that are both powerful and beneficial for humanity. Responsibilities: Working across the full stack to identify and remove bottlenecks preventing progress toward scientific AGI Develop approaches to address long-horizon task completion and complex reasoning challenges essential for scientific discovery Scaling research ideas from prototype to production Create benchmarks and evaluation frameworks to measure model capabilities in scientific workflows and computer use Implement distributed training systems and performance optimizations to support large-scale model development You may be a good fit if you: Have 8+ years of ML research experience Are familiar with large scale language model training, evaluation, and inference pipelines Enjoy obsessively iterating on immediate blockers towards longterm goals Thrive working collaboratively to solve problems Have expertise in performance optimization and distributed computing systems Show strong problem-solving skills and ability to identify technical bottlenecks in complex systems Can translate research concepts into scalable engineering solutions Have a track record of shipping ML systems that tackle challenging multi-step reasoning problems Strong candidates may also have: Expertise with performance optimization for language model inference and training Experience with computer use automation and agentic AI systems A history working on reinforcement learning approaches for complex task completion Knowledge of containerization technologies (Docker, Kubernetes) and cloud deployment at scale Demonstrated ability to work across multiple domains (language modeling, systems engineering, scientific computing) Have experience with VM/sandboxing/container deployment and large-scale data processing Experience working with large scale data problem solving and infrastructure Published research or practical experience in scientific AI applications or long-horizon reasoning The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $350,000 — $850,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Riyadh, Saudi Arabia Müller's Solutions is seeking an Emerging Technologies Expert to join our team, dedicated to exploring innovative technologies that can transform business processes and drive strategic outcomes. This is a unique opportunity for Saudi Nationals to contribute to cutting-edge projects while leveraging the latest technologies to enhance our solutions and services. As an Emerging Technologies Expert, you will analyze, evaluate, and implement new technologies that can initiate significant improvements in our offerings or operational capabilities. Your ability to research and recommend future technologies will play a key role in our competitive strategy. Responsibilities: Stay updated with the latest trends and advancements in emerging technologies, including AI, blockchain, IoT, and more. Conduct in-depth research and analysis on potential technologies to determine their relevance and potential impact on our business. Collaborate with cross-functional teams to identify technology needs and propose innovative solutions. Develop prototypes and proof-of-concepts to validate new technology applications. Prepare and present reports and recommendations to stakeholders and executive leadership. Participate in strategic planning sessions to align emerging technology strategies with business objectives. UI/UX testing Requirements Requirements: Bachelor's degree in Computer Science, Engineering, or a related field. Minimum of 5 years of experience in technology innovation, product development, or related fields. Strong familiarity with emerging technologies such as artificial intelligence, machine learning, blockchain, and IoT. Proven ability to conduct technology assessments and present findings to diverse audiences. Excellent analytical and research skills, with a demonstrated ability to think strategically. Strong communication and collaboration skills to engage effectively with stakeholders at all levels. Saudi National (only candidates of Saudi nationality will be considered for this role). Preferred qualifications: Master’s degree in a relevant field. Experience in managing technology projects or initiatives. Familiarity with cloud technologies and platforms. Relevant certifications in emerging technologies. 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 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: 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: United States Description MEMX is seeking a experienced Technical Project Manager to join our dynamic team. As a Technical Project Manager, you will play a crucial role in overseeing and delivering complex technical projects. With our cutting-edge technology and innovative approach, you will have the opportunity to work on exciting projects that impact the financial industry as a whole. Join us and be a part of revolutionizing the way financial markets operate. MEMX currently has a U.S. presence in these states: California, Colorado, Connecticut, Delaware, Florida, Georgia, Illinois, Kansas, Maine, Maryland, Massachusetts, Michigan, Nevada, New Jersey, New York, North Carolina, Pennsylvania, South Carolina, Texas, and Utah. *If you live outside of the above states, please list in your application and our team will evaluate. What You’ll Do Lead and manage the end-to-end delivery of complex technical projects, ensuring they are delivered on time, within budget, and to the highest quality standards. Collaborate with Product Management, Systems Engineering, IT Infrastructure, and QA teams to define project scope, requirements, and deliverables. Develop and maintain project plans, schedules, and budgets, and effectively communicate project status and updates to stakeholders. Identify and mitigate project risks and issues, and proactively address any roadblocks to ensure successful project delivery. Convert information into easy-to-understand content tailored to their specific audience. Manage project resources and allocate tasks effectively to ensure project milestones are met. Work closely with product managers to ensure projects align with strategic objectives and deliver customer value. Drive continuous improvement and innovation in project management processes and methodologies. Requirements Bachelor's degree in Computer Science/Engineering, or equivalent experience delivering projects with technical teams 5 or more years of experience in technical project management, with a proven track record of successfully delivering complex projects Solid understanding of software development methodologies and best practices Strong leadership skills and ability to effectively manage cross-functional teams Excellent communication and stakeholder management skills Ability to thrive in a fast-paced and dynamic environment Experience with agile development methodologies Nice to have: Knowledge of financial markets and trading systems Experience in the financial services industry or a related field Benefits At MEMX you will have the ability to work with a talented team of professionals who bring diversity of thought and background. You will have the opportunity to shape the future of our company and the impact MEMX will have on our clients and the broader markets. We offer competitive employee benefits and perks and will continue to make this a priority to attract the best. Work From Home Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k) Life Insurance (Basic, Voluntary & AD&D) Unlimited Paid Time Off Generous Paid Family Leave Short Term & Long-Term Disability Training & Development Wellness Resources Pay Range: $135,000 to $175,000 *Pay ranges are a general guideline only and not a guarantee of compensation. Compensation may vary depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Equal Opportunity Statement MEMX is an equal opportunity employer. We are committed to creating a diverse and inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Diversity Inclusion Statement At MEMX, we believe that diversity and inclusion are essential to driving innovation and success. We welcome and celebrate individuals from all backgrounds and perspectives, and we strive to create an inclusive culture where everyone can thrive.

Location: Frankfurt am Main, Germany Company: They design and supply process technology and equipment for crushing and oil extraction, edible oil refining, FAME biodiesel production, oleochemical processes for fatty acids, glycerine purification, fatty alcohol and more. Position Summary Reporting to the Regional Sales Director, job holder is responsible and accountable for the following: •    Qualifying opportunities that come from the Edible Oil and Oleochemical industry. •    Technically and commercially identify and evaluate customer’s requirements in order to prepare proposals. •    Liaise with internal technical team while managing customers with the objective to secure contracts. •    Utilize engineering and business skills to navigate project tenders, cost estimations, sales cycles and identifying new opportunities. Key Responsibilities / Duties •    Assist the Sales Director in planning, preparing and executing contract tender opportunities in the edible oil/oleochemical industry. •    Generate proposals by putting together project cost estimation, process plant operating costs, scope of supply and process flow diagrams. •    Be able to do project cost estimations, calculate rough equipment sizes, approximate process plant consumption and understand plant processes. •    Use engineering skills with business sense to match client requirements to good solutions. •    Create and deliver product presentations that highlight value propositions of technology. •    Assist the Sales Director to develop and implement the Sales and Marketing strategy for the Company in line with market growth potential, technological and price competitiveness and any emerging opportunities in allied technologies and supply. •    Assist the Sales Director to penetrate the market to ensure optimum market coverage and timely response to market opportunities in terms of proposal preparation, follow up and negotiations. •    Develop and maintain healthy customer relationships and provide support to maintain confidence in the Company, its products and enhance future sales possibilities. •    Closely monitor the competitive environment including technology and commercial developments of key competitors and provide these inputs to the Sales Director to develop counter strategy. •    Follow up regularly on submitted proposals and identify key customer concerns to address in order to close sales. •    Co-ordinate with Engineering Department for assistance in proposal generation and solutions. •    Co-ordinate with the Engineering / Operation Department on new contracts to ensure that they are informed on all the commitments made by the Sales Department and other relevant information apart from what is stipulated in the Contract. •    Co-ordinate orders booking, invoicing and ensure payment collection with respective Project Leaders. •    Assist in the preparation of selected conferences and exhibitions and participate during the exhibition. Requirements Qualification •    Bachelor's degree in chemical / Process Engineering Experience •    2- 4 years preparing Sales proposal for equipment or project tender, fresh graduates are encouraged to apply •    Experience in Edible Oil or Oleochemical industry is an advantage •    Willing to travel on short notice

Location: China; Vietnam; Philippines; Taiwan; Japan; Thailand The Japanese freelancer oversees the quality of the reports delivered by the Evaluators by proofreading them. He/she makes sure that the information provided is up to the Company’s standards before it is delivered to the Client. -        Be responsible of the quality delivered, making sure it is aligned with the Company’s standards before the surveys are published to the client -        Ensure of the timely validation of the surveys -        Get in touch with the evaluators or Operation Executives for additional information -        Be professional under any circumstances when representing the Company. - Compensation: 1200 JPY/hour (approximately 4 surveys can be validated per hour). Requirements You bring to this position attention and accuracy for details that you support by: -        Excellent communication skills in Japanese and English as you will be contacting Evaluators and Operation Executives on a regular basis, native speaker -        Excellent organizing skills to make sure the surveys are delivered on time -        Positive and outgoing personality -        Microsoft Office skills -        At least 1-2 years of Editing experience is a plus -        Around 2 hours per day to this work KEY COMPETENCES -        Rigorous organization -        Time management -        Attention to detail -        Customer-service orientation -        Integrity -        Reliability

Location: San Francisco Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE Strategic accounts at Baseten are the largest and fastest-growing AI companies in the world. These are the teams defining the future of what AI products and services look like. These accounts can scale rapidly from one token to billions of tokens in a matter of weeks. This role owns these relationships, working directly with founders and engineering leaders on mission-critical and large-scale-AI problems in production—and shaping what we build next. This is a highly technical sale. You’ll trade opinions on the latest open-source model releases, run fast and nuanced evaluations alongside customer engineering teams, and often pulling in SMEs from applied research to infrastructure engineers to win. You’ll bring tight sales fundamentals and process discipline, while maintaining flexibility and creativity in how you run each cycle. This role is pioneering what sales looks like at the bleeding-edge of technology sales. This is a front row seat to the most consequential decisions made at the forefront of Artificial Intelligence. There is no faster place to learn and make an immediate impact.   RESPONSIBILITIES - Own a focused portfolio of high-growth, strategic AI-native accounts end to end — from technical evaluation and initial workload landing through expansion as inference usage scales. - Lead technical evaluations and complex, multi-stakeholder sales cycles from first conversation through close. Bring strong sales fundamentals and process discipline, while staying flexible and creative in how you run each sales cycle. - Build trusted relationships with founders and technical leaders, becoming a credible partner on model, infrastructure, and inference decisions. - Orchestrate stakeholders across applied research, engineering, and leadership to win technical evaluations and solve customer problems. - Bring customer signal back to product, shaping roadmap priorities through the needs and patterns you see in the field. - Stay close after close: help customers expand from an initial workload into additional use cases across the organization.   REQUIREMENTS - 5+ years of sales experience in infrastructure, developer tools, data, or another consumption business, with a record of closing complex technical deals. - Proven net-new experience selling complex technical products in fast-moving environments. - Strong sales fundamentals across discovery, multi-threading, champion-building, and deal momentum. - Genuine curiosity for open-source models and the AI infrastructure landscape. You follow model releases and can hold your own with engineers. - Highly dynamic: comfortable when a deal goes off-script, able to meet customers where they are, and willing to change your approach without losing rigor. - Strong technical project management: you can run a thorough evaluation across multiple workstreams and create clarity and direction for Baseten to win. - Proven ability to sell internally, earning engineering time, aligning leadership, and getting cross-functional teams to move - Scrappy, low-ego, collaborative operator. You run toward ambiguous problems, create structure where none exists, and earn internal support without relying on rigid swim lanes. BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: Dubai, United Arab Emirates Workplace: on-site At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a French Speaking Project Manager to join one of our clients' teams. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you. About the Role: We are looking to recruit an experienced and passionate Project Manager – Events to lead and execute high-profile events for our luxury brand clients. The ideal candidate should have a minimum of 5 years' experience in a similar role, managing end-to-end event project cycles, especially within the luxury, fashion, or retail brand sectors. The role requires strong planning, coordination, and leadership skills, as well as the ability to work under pressure and deliver exceptional experiences that reflect the quality and prestige of the brands we work with. Project Manager – Events Location: Dubai, UAE Industry: Luxury, Fashion, Retail Experience Required: Minimum 5 years Languages: French (Fluent), English (Excellent) Key Responsibilities: Lead and manage the full lifecycle of event projects from client briefing and planning through to on-site execution and post-event reporting. Oversee the project schedule, budget, and resources to ensure timely and cost-effective delivery of all event milestones. Coordinate with internal departments (design, production, logistics) and external vendors (venues, suppliers, contractors) to ensure all deliverables meet the brand’s standards. Maintain and regularly update the project checklist, tracking progress against key milestones. Supervise site installations and ensure all work aligns with event specifications, safety requirements, and luxury brand expectations. Liaise with clients and consultants throughout the project to resolve issues, provide updates, and ensure satisfaction. Conduct site visits during pre-production and production phases to ensure quality control and schedule adherence. Organize and lead pre-installation and technical meetings with relevant stakeholders. Coordinate travel and logistics arrangements for internal teams and third-party vendors where applicable. Ensure proper documentation, including permits, approvals, and completion certificates where necessary. Conduct internal debriefs post-event with relevant teams to assess project outcomes and identify areas of improvement. Evaluate team member performance and provide feedback to support continuous development. Create reporting frameworks and dashboards to track key project metrics and performance indicators. Maintain strong working relationships with local teams and contractors, both domestically and internationally. Bachelor’s degree in Events Management, Marketing, Business, or a related field. Minimum 5 years of relevant experience managing luxury or high-end brand events. Fluency in French is mandatory; excellent communication in English is also essential. Proven ability to manage budgets, timelines, and cross-functional teams. Strong leadership, negotiation, and client-facing skills. Knowledge of event production processes, logistics, and quality control protocols. Experience working across international markets or coordinating with global teams is an advantage. Strong sense of aesthetics, brand sensitivity, and attention to detail. Willingness to travel and work flexible hours as per event requirements.

Location: Norway Workplace: remote OVERVIEW Are you passionate about language, detail-oriented, and skilled in identifying nuances in meaning and tone? Join our global network of linguistic professionals and contribute to a high-impact language project that shapes how people interact with AI-powered content worldwide. We’re looking for experienced Linguist Reviewers to help refine and elevate language data by evaluating and enhancing synonyms, word groupings, and phrasing. MAIN DUTIES - Evaluate lists of synonyms and related phrases for accuracy, appropriateness, and naturalness. - Identify linguistic errors, awkward phrasing, or incorrect usage and suggest corrections. - Generate improved or alternative synonyms that better match intended meanings. - Provide insightful linguistic feedback to improve language quality and consistency. - Collaborate with project managers and fellow linguists to meet quality standards and deadlines. PROJECT DETAILS Start Date: Immediately after completing the training process Employment Type: Freelance/Independent Contract Location: Remote Language: Norwegian Pay Rate: $35/hour By applying, you'll become part of our Freelance community, opening doors to a range of projects tailored to your skills and availability, particularly highlighting localization and linguistic expertise. Payment rates for future projects may vary, ensuring fair compensation that reflects your location, industry, and skill set. Joining us means contributing to our current project and becoming part of our dynamic network. This is a unique chance to enhance global user experiences and apply your language skills in meaningful ways. REQUIREMENTS Background in linguistics, translation, copyediting, or related fields Proficient in English Strong knowledge of synonyms, semantics, and contextual meaning Excellent attention to detail and ability to follow linguistic guidelines Previous experience with linguistic QA or content reviewing is a plus Reliable internet connection and ability to work independently When you join Welocalize, you have the opportunity to bring your career to the next level: - receive steady volume of work and a long-term partnership - professional development: work on exciting projects that will empower you keep learning and growing - work with multicultural and international team with a great variety of documents and content types - 24-hour 6 day a week support from our Community team. If this opportunity sound appealing to you, apply below. As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com

Location: Frankfurt am Main, Germany Company: They design and supply process technology and equipment for crushing and oil extraction, edible oil refining, FAME biodiesel production, oleochemical processes for fatty acids, glycerine purification, fatty alcohol and more. Position Summary: The After-Sales Manager is responsible for leading and managing the After-Sales Service function to ensure efficient and effective service delivery to customers, including addressing inquiries, executing upgrading projects, and maintaining customer relationships. The role involves strategic planning, operational control, and ensuring alignment with the company's business objectives. Additionally, the position oversees contract execution, cost control, and maintaining high standards of customer satisfaction. Key Responsibilities / Duties: 1.    Customer Support & Relationship Management: •    Attend to customer inquiries for plant modifications, process improvements, and spare parts with urgency. •    Conduct regular visits to existing customers to maintain relationships and gather feedback on plant performance and market trends. •    Develop counter-strategies based on customer feedback and market developments to enhance service offerings. •    Maintain and manage customer accounts, ensuring accurate and up-to-date records of all interactions, transactions, and service requests. 2.    Contract & Project Management: •    Monitor and coordinate upgrading contracts, ensuring proper execution, cost control, and compliance with contractual obligations. •    Lead and guide project teams in the preparation and implementation of upgrading contracts, ensuring timely delivery and budget adherence. •    Supervise and support the commissioning and start-up of equipment to meet customers’ final acceptance standards. •    Conduct quality checks on procured equipment and ensure specifications are met before delivery. 3.    Cost & Quality Control: •    Provide support during equipment costing to maintain budget compliance and cost efficiency. •    Ensure quotations are competitive and align with budget estimates. •    Maintain high standards of quality control through regular inspections and evaluations of equipment and services. 4.    Technical Support & Problem Solving: •    Provide technical guidance and support to customers during start-up and after-sales activities. •    Troubleshoot and resolve issues encountered during the installation, commissioning, and operation of equipment. •    Analyze and resolve operational problems encountered during plant visits and provide competent advice for troubleshooting. 5.    Collaboration & Communication: •    Collaborate with cross-functional teams, including Sales, Procurement, Logistics, and Engineering, to ensure cohesive project execution. •    Maintain effective communication with customers to understand their needs and provide timely solutions. •    Coordinate with the Sales team to clarify technical data for spare parts and provide accurate quotations. Requirements Job Specifications Qualification •    Bachelor's degree in chemical / Process Engineering Experience •    3- 5 years' experience in engineering / maintenance for chemical industry •    Experience in Edible Oil or Oleochemical industry is an advantage •    Willing to travel on short notice

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

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

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

Location: San Francisco, California, United States Senior Actuarial Analyst DRIVE PROFITABLE GROWTH FOR THE BUSINESS About At-Bay At-Bay is the world’s first InsurSec provider designed from the ground up to help businesses tackle cyber risk head on. By combining industry-leading insurance with world-class cybersecurity technology, At-Bay offers end-to-end prevention and protection for the digital age. With 98% of cyber insurance claims in the past five years coming from small and mid-size businesses with revenue under $2B, providing an integrated solution to help manage risk is more critical than ever. At-Bay helps its 35,000+ customers close their security technology and skills gap — all through their cyber insurance policy — making them less likely to be hit with a ransomware attack. As a full-stack insurance company, At-Bay offers multiple lines of specialty insurance, including Cyber, Tech E&O, and Miscellaneous Professional Liability (MPL) policies. Why you should join our Actuarial Pricing team: As an Senior Actuarial Analyst on the Pricing team, you will be working under the risk function with talented team members in modeling, risk analytics, decision engine, insurance and tech product. The Pricing team has helped At-Bay launch new products, secure reinsurance capacity, quantify and manage risk related KPIs and adjust pricing to drive profitable growth. You’ll join a growing team of actuaries and actuarial analysts of diverse backgrounds and report to our Actuarial Director. You’ll be surrounded by a team that loves what they do, leverages technology to improve efficiency & minimize duplicative work, and recognizes the enormous responsibility that they have – to support key business decisions with data backed insights and a deep understanding of insurance risk. Role overview: Your work will directly contribute to At-Bay’s risk assessment framework that helps with data-driven decisions involving millions of dollars of exposure. This is a multidisciplinary role that includes developing deep cyber and tech knowledge, business acumen, research, and analytical skills. This is also a hands-on operational role where you’ll see in house submission, quotes and binds and understand how each risk decision will impact on the business. You will manage the overall program profitability, improve pricing accuracy, and work cross-functionally with Insurance & Tech Product, Underwriting, Claims, and Decision Engine teams on the implementation of those products. You will be responsible for leading and supporting a wide variety of pricing and underwriting related initiatives, quantifying the impacts and implications of those initiatives on the business and identifying ways to the overall economics of the business. How you’ll make an impact: By 3 months… You’ll understand At-Bay’s internal data structure and develop key relationships across the business You’ll have reviewed the existing Cyber and Tech E&O product structures, related tools, and related data sources to track and analyze product performance You’ll have completed a quarterly rate indication and presented your recommendation to key stakeholders You’ll identify areas of improvement in our systems and processes By 6 months... You’ll have developed a proposal to modify the Cyber rate plan and have evaluated the proposal will have on the business You’ll have improved the depth and efficiency of the existing rate indication process via automation and/or innovation You’ll have analyzed customer acquisition and retention data to improve At-Bay’s ability to understand the economics of the business You’ll help coach team members and key stakeholders to understand actuarial analytics, Cyber pricing and risk, and how it differs from traditional pricing and other lines of business What you’ve accomplished already: You’ve evaluated the profitability of a portfolio of insureds using actuarial techniques and communicated the results to leadership You’ve worked cross-functionally with underwriting, product management, data science, claims or other analytical departments to solve complex business problems You’ve developed tools to automate existing processes and/or improve visibility into the performance of the products You’ve analyzed competitor rating plans and interpreted the results to improve your pricing and/or underwriting structures You’ve passed 4+ exams in pursuit of your ACAS, FCAS, or other equivalent designation You’ve achieved proficiency with Excel and SQL, and have experience with Python and/or R Our estimated base pay range for this role is $120,000-135,000 per year. Base salary is determined by a variety of factors including but not limited to market data, location, internal equitability, domain knowledge, experiences and skills. In general, if the position sparks your interest we encourage you to apply - our team prioritizes talent. #LI-DNI #LI-LM1

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.