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Location: Birmingham, United States Position Summary The Mechanical Engineer/Designer is responsible for developing and executing mechanical and piping designs for large industrial facilities. This role involves preparing design deliverables, performing calculations, coordinating with multidisciplinary teams, and supporting field activities during construction and commissioning. Successful candidates will have strong technical experience in equipment design, plant layout, and mechanical systems within an EPC or heavy industrial environment. Key Responsibilities Develop and prepare mechanical design packages including equipment layouts, general arrangements, and detailed drawings. Perform mechanical calculations, such as equipment sizing, stress analysis, and load evaluations. Specify and design process and utility equipment—including pumps, tanks, pressure vessels, heat exchangers, fans, and compressors. Review and interpret PFDs, P&IDs, and vendor drawings to ensure proper integration of equipment and piping systems. Prepare equipment data sheets and technical specifications for procurement and perform technical bid evaluations. Coordinate with process, structural, electrical, and controls teams to ensure system alignment and constructability. Participate in 3D model reviews, design reviews, and HAZOPs as required. Develop installation details and support designs in collaboration with piping and civil teams. Assist with material take-offs (MTOs), cost estimates, and project proposals. Provide field support during construction and startup, including inspection, troubleshooting, and as-built documentation. Ensure all designs adhere to applicable industry codes and standards (ASME, API, ANSI, NFPA, OSHA, etc.). Promote a safety-first mindset and incorporate safe design principles into every project. Qualifications Bachelor’s degree in Mechanical Engineering or equivalent technical degree (Design diploma or Associate’s acceptable for Designer-level roles). 5–30+ years of experience in mechanical engineering or design for heavy industrial projects (EPC preferred). Proficiency in 3D modeling and design tools such as AutoCAD, Plant 3D, CADWorx, SmartPlant 3D, or SolidWorks. Experience developing equipment layouts, piping supports, and mechanical installation details. Strong understanding of rotating and static equipment, material selection, and fabrication methods. Knowledge of industry codes and standards (ASME Section VIII, API 610/650, ANSI, NFPA). Excellent communication skills and ability to work collaboratively with multi-discipline teams. Professional Engineer (PE) license preferred or ability to obtain (for Engineer-level roles). Willingness to travel for field work or construction support as needed. Preferred Qualifications Experience in pulp & paper, chemical, power, or manufacturing facilities. Background in design/build EPC environments. Familiarity with 3D scanning, BIM coordination, or Navisworks Review. Understanding of construction sequencing and field installation methods. Compensation and Benefits Competitive pay based on experience and role. Full-time employees eligible for comprehensive benefits including health, dental, vision, 401(k), and paid time off. Contract roles available for seasoned professionals seeking project-based opportunities. Why Join Us Work on complex, high-value industrial projects across North America. Join a team that integrates engineering and construction expertise for optimal project outcomes. Contribute to a safety-first, collaborative, and innovative work environment.

Location: Chilca, Peru Be part of our story as a Press Operator at our Cercado de Lima, Peru plant. Who we are? Bradken is a partner to the mining and resources sector and a leader in wear parts. At Bradken Lima (Linings S.A.) , we are consolidating our growth by offering a wide range of mining wear solutions for the South American market. Bradken’s 3,000-strong team is inclusive, diverse, and full of opportunities, with more than 100 professions and trades across 19 countries . What will your role be? As a Press Operator within Bradken Lima (Linings S.A.)’s Production team, you will take on a skilled, committed role in our fabrication shop. In this role, you will perform rubber liner pressing in line with current codes, specifications, and standards , ensuring work is carried out safely and efficiently . Key responsibilities: Perform all press activities required by the area lead, according to work orders . Laminate rubber on the mill and prepare mixes as needed to execute pressing. Communicate and work closely with Quality Control, Safety, and Maintenance . Support general workshop requirements and maintain order and cleanliness (5S) in your work area. Maintain a safe work environment , ensuring compliance with company labor practices and health, safety, and environmental standards. Perform other duties as assigned. Requirements: Minimum education: High school . Employment certificate in a similar role. At least 1 year of experience as a Press Operator . Desirable: knowledge of liner models to be pressed and rubber milling/lamination . Ability to read and interpret 2D/3D drawings . Knowledge of materials, metrology, calculations, and quality control . Ability to operate power tools (grinder, angle grinder, etc.). Skills & competencies: Ability to handle multiple tasks and tight deadlines. Ability to interpret technical information or instructions. Able to define problems, collect data, establish facts, and draw valid conclusions. Effective teamwork, with a strong work ethic, organization, planning, and attention to detail. Why join our team? We believe our people are our greatest asset . Keeping our team safe and healthy— physically and mentally —has always been our top priority. Bradken Lima (Linings S.A.) benefits: Be part of a company with a global footprint. Safety-first culture. Statutory benefits from day one (health insurance, bonuses, CTS, paid holidays, and vacation). Professional development/training opportunities. Meal/food card benefit. Career projection within a company with a global footprint. This position will be located in Lima, Lima, Peru. If you’re interested in this position, please contact Gonzalo Zevallos at gzevallos@bradken.com . With 100 years of knowledge and experience, the future offers endless opportunities. Before starting employment, you will be required to complete a psychometric assessment and a pre-employment medical, including drug and alcohol testing. We respectfully request no recruitment agency approaches. Bradken is an Equal Opportunity Employer; all hiring decisions are based on merit, competence, performance, and business needs.

Location: Birmingham, United States Position Summary The Piping Designer is responsible for the layout, modeling, and design of process and utility piping systems for heavy industrial facilities. This position requires strong technical skills, a working knowledge of piping design codes, and the ability to coordinate effectively with multiple engineering disciplines and construction teams. The ideal candidate will have a background in EPC or industrial plant design and be able to translate process requirements into accurate, constructible piping systems and deliverables. Open to anyone in the USA open to rrelocating. Key Responsibilities Develop and prepare 3D piping models, layouts, isometrics, and orthographic drawings for process and utility systems. Work from P&IDs, equipment general arrangements, and vendor drawings to create accurate piping designs. Ensure compliance with project specifications, codes, and standards (ASME B31.1, B31.3, etc.). Develop and maintain equipment layouts, piping plans, and support details in coordination with civil, structural, and mechanical disciplines. Participate in 3D model reviews, design checks, and constructability reviews with engineering and construction teams. Coordinate with process engineers to incorporate design changes and resolve interface issues. Generate material take-offs (MTOs), pipe stress input data, and support drawings as required. Review and reconcile vendor and supplier data with design documents for consistency. Provide field support during construction, including design clarifications and as-built updates. Promote a strong safety culture, incorporating safe design practices into all project work. Qualifications Associate degree, technical diploma, or equivalent combination of education and experience in piping design or mechanical technology. 5–30+ years of experience in piping design for heavy industrial or EPC projects. Proficiency with 3D modeling and design software, such as: AutoCAD Plant 3D CADWorx SmartPlant 3D (SP3D) MicroStation or equivalent Familiarity with piping codes and standards (ASME, API, ANSI). Experience developing isometric drawings, MTOs, and equipment layout plans. Strong understanding of industrial systems, including process piping, steam, condensate, cooling water, compressed air, and other plant utilities. Ability to interpret and coordinate vendor drawings, P&IDs, and mechanical design data. Excellent attention to detail and organizational skills. Effective communication and collaboration across disciplines and project teams. Preferred Qualifications Experience in pulp & paper, power, chemical, or manufacturing facilities. Background in EPC design/build project environments. Knowledge of laser scanning and point cloud integration. Familiarity with BIM coordination tools (Navisworks, Smart Review, etc.). Compensation and Benefits Competitive compensation based on experience and role. Full-time employees receive a comprehensive benefits package including health, dental, vision, 401(k), and paid time off. Contract opportunities available for experienced professionals seeking project-based flexibility. Why Join Us Be part of a team delivering large-scale industrial projects that shape essential infrastructure. Work in an integrated EPC environment with exposure to engineering, procurement, and construction processes. Join a safety-focused, collaborative culture that values innovation, quality, and technical excellence.

Location: Dhahran, Saudi Arabia; Al Hofuf, Saudi Arabia; Dammam, Saudi Arabia Minimum Job Requirements: Education: Bachelor’s Degree in Mechanical Engineering Experience: 10–12 years of relevant experience in inspection, including Turnaround & Inspection (T&I) and on-stream inspection Certifications: API 570 & 510 (ASNT preferred) Key Responsibilities: Conduct mechanical inspections in compliance with ASME, ASNT, and API standards Interpret and analyze mechanical drawings and P&ID diagrams Prepare comprehensive technical and inspection reports Perform inspection tasks independently with minimal supervision Witness and verify repair and maintenance activities Identify and assess damage mechanisms during inspection processes Participate in T&I activities and ensure compliance with applicable codes Monitor equipment condition during on-stream operations Preferred Skills: In-depth knowledge of inspection codes and standards (ASME, API, ASNT) Familiarity with inspection-related software and reporting tools Good command of Microsoft Office applications (Excel, Word, etc.) Strong communication and interpersonal skills Ability to work collaboratively with teams and independently Arabic and English proficiency required

Location: Saint Julian's, Malta Description We are seeking a highly organized, discreet, and proactive Personal Assistant to support our Chief Product Officer (CPO) in a dynamic, fast-paced B2B iGaming environment. The ideal candidate will act as the right hand to the CPO—handling daily operations, coordinating executive communications, managing travel and meetings, and providing high-level translation between Armenian and English . This trusted position requires excellent communication skills, professionalism, and the ability to navigate a high-performance, multicultural executive environment. Responsibilities Executive & Administrative Support Manage and maintain the CPO’s calendar, appointments, and daily schedule. Organize internal and external meetings, including agenda preparation, briefing materials, and minute taking. Handle confidential correspondence, reports, and communications on behalf of the CPO. Coordinate with internal teams (Product, Engineering, Design, Compliance, HR) to ensure priorities and action items are followed up. Maintain structured filing systems with version control and secure access to information. Travel & Event Coordination Organize complex international travel arrangements (flights, visas, accommodation, logistics). Accompany the CPO during business trips and events when needed, offering real-time administrative and translation support. Coordinate participation in conferences, exhibitions, and meetings with partners. Translation & Communication Provide professional interpretation and translation (Armenian ↔ English) of executive and sensitive information, both spoken and written. Support CPO during meetings with non-English-speaking stakeholders to ensure accurate and context-aware communication. Translate documents, emails, and presentations as required. Confidentiality & Professionalism Handle all company and personal information with the utmost discretion and integrity. Act as a trusted gatekeeper for requests and communications directed to the CPO. Operational & Project Support Assist in research, report writing, and preparation of strategic presentations. Track action points and ensure timely follow-ups across various projects. Coordinate with HR and Admin for team logistics, onboarding of new hires, and office activities in Malta. Requirements Proven experience as a Personal Assistant, Executive Assistant, or similar role in a fast-paced environment (iGaming or tech industry is a plus). Exceptional organizational and time-management skills. Excellent written and verbal communication in English and Armenian . Strong discretion and ability to handle confidential information with professionalism. Experience coordinating complex travel and events. High-level translation and interpretation capabilities, including business and technical language. Tech-savvy, with proficiency in office software (Google Workspace, MS Office) and document management tools. Flexibility to travel internationally as required. Ability to adapt quickly, prioritize tasks, and work independently.

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 Reinforcement learning (RL) is how Claude learns to reason, write code, and act autonomously over long horizons. This role sits on the team that builds and owns the RL training system: the system that trains our production models and that researchers across Anthropic run their experiments on. The team works closely with research teams across the company on the science and engineering of making RL work at scale. As a Research Engineer on the team, you'll work at the center of RL at Anthropic. You'll have a direct view of how RL training behaves at the frontier because the system you own sits underneath both production and research runs. You will use it with collaborators across research teams to understand what is working, what is fragile, and where the next improvements are. Key responsibilities Build, own, and improve the core RL training system that serves Anthropic's production and research runs Work across the stack (orchestration, environments, training, inference, evaluation) wherever the system needs it Study how RL training behaves at scale and contribute to the research that improves it, in collaboration with teams across Anthropic Implement new training methods as stable, fast, well-tested code Improve the speed and efficiency of RL training and evaluation through profiling, optimization, and benchmarking Make the system easier for researchers to build on, through clean abstractions, clear APIs, and automated testing Debug hard problems across the stack, from a run that has quietly drifted to a distributed systems failure that only shows up at scale Communicate results clearly, in writing and in discussion Minimum qualifications Proficiency in Python and experience working in, debugging, and improving a large ML codebase Experience with large-scale machine learning training (reinforcement learning, pretraining, or post-training) or the systems that support it Experience with at least one modern ML framework (JAX, PyTorch, or similar) Ability to design controlled experiments and reach conclusions you and others can trust Ability to balance research exploration with engineering implementation Strong written and verbal communication skills Care about the societal impacts of your work and are committed to developing safe and beneficial systems Preferred qualifications Experience with reinforcement learning for large language models, in research, production, or both Experience studying training at scale: scaling behavior, training dynamics, or method development on large models Experience with large-scale distributed training systems Familiarity with LLM architectures and training methodologies Experience working close to a frontier training run Experience profiling and optimizing the performance of ML workloads Experience with RL environments, evaluations, or sandboxed code execution Experience with Rust or C++ Enjoy pair programming (we love to pair!) 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: 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 role We are looking for software engineers to help build safety and oversight mechanisms for our AI systems. As a software engineer on the Safeguards team, you will work to monitor models, prevent misuse, and ensure user well-being. This role will focus on building systems to detect unwanted model behaviors and prevent disallowed use of models. You will apply your technical skills to uphold our principles of safety, transparency, and oversight while enforcing our terms of service and acceptable use policies. We have multiple teams that are currently hiring within Safeguards. Team placement occurs after the interview process, taking into account your interests and experience alongside organizational needs. This flexible approach allows us to match talented engineers where they'll have the greatest impact and growth potential. Responsibilities: Develop monitoring systems to detect unwanted behaviors from our API partners and potentially take automated enforcement actions; surface these in internal dashboards to analysts for manual review Build abuse detection mechanisms and infrastructure Surface abuse patterns to our research teams to harden models at the training stage Build robust and reliable multi-layered defenses for real-time improvement of safety mechanisms that work at scale You may be a good fit if you: Bachelor’s degree in Computer Science, Software Engineering or comparable professional experience Proficiency in at least one programming language such as Python, Java, etc. Ability to work across the stack Strong communication skills and ability to explain complex technical concepts to non-technical stakeholders Strong candidates may also: 8+ years of experience in a software engineering position Have experience with integrity, spam, fraud, or abuse detection and mitigation Have experience building trust and safety detection mechanisms and intervention for AI/ML systems Have experience with prompt engineering, jailbreak attacks, and other adversarial inputs Have worked closely with operational teams to build custom internal tooling Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Richardson, United States; San Jose, United States Signal Integrity Engineer Locations: On-site in Richardson, TX or San Jose, CA Type: Permanent / Full-time Compensation: Competitive and commensurate with experience (multiple openings available) About the Role We’re seeking highly skilled Signal Integrity Engineers to join a top-tier hardware engineering team developing next-generation networking, server, and storage technologies. This is a permanent, on-site position located in either Richardson, TX or San Jose, CA. As a Signal Integrity Engineer , you'll serve as a subject matter expert in high-speed signal delivery and analysis. You’ll work cross-functionally on complex PCB designs, performing simulations, lab testing, and root cause analysis to ensure signal quality and system performance. You will also participate in design reviews and provide technical guidance throughout the product lifecycle. Key Responsibilities Design and validate high-speed signal paths for digital and analog interfaces. Perform 2D/3D simulations (e.g., S-parameters, eye diagrams, crosstalk, impedance control). Conduct lab measurements including TDR and VNA; develop custom test fixtures. Collaborate with hardware, layout, and system engineering teams on board design and stack-up. Evaluate and model component-level behavior (e.g., Touchstone files). Drive design decisions balancing performance, manufacturability, and cost. Support signal integrity across complex PCBAs (36+ layers), connectors, flex circuits, and cabling. Required Skills & Experience 5 to 20+ years of experience in high-speed signal integrity engineering. Strong background in PCB signal integrity (both on-board and off-board transmission). Proficient in tools like ADS, ANSYS HFSS, Sigrity , and Allegro or similar ECAD platforms. Experience with single-ended and differential signaling up to 50Gbps , including NRZ and PAM4 . Deep understanding of PCB design fundamentals , crosstalk, impedance, and loss modeling. Skilled in generating and analyzing eye diagrams , and interpreting both time and frequency domain results. Familiar with PCB stack-up design , fabrication limitations, and high-frequency materials. Hands-on experience with flex circuit design , ribbon cables, coax, and board-to-board connectors. Preferred Qualifications Master’s Degree in Electrical Engineering (Bachelor’s required). Experience leading design reviews or acting as a technical mentor. Exposure to hardware platform development for networking or data center products. Strong communication skills and experience working with cross-regional teams.

Location: Houston, United States Role: As a member of the Systems Engineering Department, the Platform RF/EMC Systems Engineer will provide technical expertise necessary to ensure electromagnetic compatibility (EMC) of the Platform system given the radio frequency (RF) environments of the communications payloads. Tasks: Depending on the job function, the Platform RF/EMC Systems Engineer will perform and participate in the following tasks and activities depending on the background and experience of the candidate: Perform EMC analyses and interpret unit-level EMC test reports Review communication Payload RF transmitter/receiver analyses & test results and recommend any necessary design enhancements to ensure electromagnetic compatibility with the Platform subsystems Prepare system-level EMC test plans and conduct satellite-level EMC testing Support Platform design activities related to grounding & shielding and wiring harness signal segregation & routing Troubleshoot EMC-related issues on integrated satellite and Platform Engineering Model (FlatSat) test setups Support RF/EMC aspects of systems engineering documentation including requirements specifications, statement of compliance, verification matrix and design descriptions Support various program reviews: EQSR, SRR, PDR and CDR Requirements: Bachelor’s degree in electrical or aerospace engineering 5+ years of relevant experience Strong RF and/or EMC engineering background Substantial experience with large scale system-level EMC testing Experience with unit-level EMC testing per international standards (or equivalent) methods & testing levels Systems engineering background including experience with RF, digital & analog electronic unit designs and wiring harnesses Complementary skills/knowledge: Understanding of the space environment and communication satellites Demonstrated capability to efficiently work with little to no supervision Ability to lead and/or mentor junior members of the engineering team Strong written and verbal communications skills in English, knowledge of French will be considered favorably

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 role We are looking for ML Engineers and Research Engineers to help detect and mitigate misuse of our AI systems. As a member of the Safeguards ML team, you will build systems that identify harmful use—from individual policy violations to sophisticated, coordinated attacks—and develop defenses that keep our products safe as capabilities advance. You will also work on systems that protect user wellbeing and ensure our models behave appropriately across a wide range of contexts. This work feeds directly into Anthropic's Responsible Scaling Policy commitments. Responsibilities Develop classifiers to detect misuse and anomalous behavior at scale. This includes developing synthetic data pipelines for training classifiers and methods to automatically source representative evaluations to iterate on Build systems to monitor for harms that span multiple exchanges, such as coordinated cyber attacks and influence operations, and develop new methods for aggregating and analyzing signals across contexts Evaluate and improve the safety of agentic products—developing both threat models and environments to test for agentic risks, and developing and deploying mitigations for prompt injection attacks Conduct research on automated red-teaming, adversarial robustness, and other research that helps test for or find misuse You may be a good fit if you Have 4+ years of experience in ML engineering, research engineering, or applied research, in academia or industry Have proficiency in Python and experience building ML systems Are comfortable working across the research-to-deployment pipeline, from exploratory experiments to production systems Are worried about misuse risks of AI systems, and want to work to mitigate them Have strong communication skills and ability to explain complex technical concepts to non-technical stakeholders Strong candidates may also have experience with Language modeling and transformers Building classifiers, anomaly detection systems, or behavioral ML Adversarial machine learning or red-teaming Interpretability or probes Reinforcement learning High-performance, large-scale ML systems 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 Role: We're looking for experienced software engineers to join our Beneficial Deployments Engineering team to help bring Claude to communities that need AI most—nonprofits, educational institutions, healthcare organizations, life sciences researchers, and economic mobility initiatives globally. This role requires strong full-stack engineering skills combined with deep empathy for underserved communities and mission-driven organizations. As an IC engineer on this team, you'll solve unique technical challenges at the intersection of AI accessibility, social impact, and scalable product development, and will help make frontier AI accessible to organizations working on humanity's most pressing challenges. Core Responsibilities: Design and implement infrastructure that enables accessible, self-serve onboarding and verification systems for global markets Understand the needs of underserved communities and translate them into scalable technical and product solutions Build flexible pricing, billing, and provisioning systems that balance accessibility with sustainability for resource-constrained organizations Develop MCP integrations that connect Claude with mission-critical tools used by nonprofits, educators, healthcare workers, and researchers Develop multilingual and accessibility capabilities across platforms Build systems to measure and demonstrate social impact at scale Partner with product, partnerships, and field teams to rapidly prototype and validate solutions with real communities Ensure platform reliability and performance for mission-critical deployments in humanitarian and social impact contexts You might be a good fit if you: Have 6+ years of practical experience as a full-stack software engineer Have experience building consumer or enterprise products that prioritize accessibility, inclusivity, or served underserved populations Have technical expertise in identity management, billing systems, self-serve onboarding flows, or API integrations Have a builder mentality with ability to ship products quickly while maintaining quality for diverse user needs Care deeply about using technology for social good and want your engineering work to have meaningful impact Have excellent collaboration skills and can work effectively with product, partnerships, and field teams Strong candidates may also: Experience with international markets, multilingual products, or accessibility features Background in nonprofit technology, social impact startups, or mission-driven organizations Experience with AI/ML products and LLM applications Familiarity with building products for resource-constrained environments or emerging markets Understanding of compliance requirements in regulated sectors Startup experience, particularly in scaling products from zero to one Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $405,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | 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 is looking for a talented AI Research Recruiter to partner with our Research teams. In this pivotal role, you will be instrumental in shaping the future of our organization by identifying, engaging, and hiring the best and brightest minds across a range of disciplines. As we continue to push the boundaries of AI research and development, we need a passionate recruiter who can help us build a world-class team dedicated to creating safe and beneficial AI systems. Responsibilities: Develop and execute strategic recruiting plans to identify, source, and hire highly qualified candidates, with a focus on Machine Learning and AI research talent Partner with Research hiring managers and interviewers to understand hiring needs, team matching, required skills and qualifications Enhance and implement recruiting processes and programs while maintaining an inclusive and high talent bar, such as developing targeted outreach campaigns, building connections with industry leaders, and removing any unfair biases from the hiring process Collaborate with leadership and cross-functional partners to understand organizational needs and map out long-term talent acquisition strategies that balance priorities across all technical teams Enhance Anthropic's employer brand within the research and science community to showcase our mission, culture, and values to candidates Stay up-to-date on recruiting best practices, emerging sourcing techniques, interview innovations, and workplace trends You may be a good fit if you: Have 5+ years of experience in full life cycle recruiting supporting technical research teams Have a passion for AI's potential to positively impact the world and realistic assessment of its risks and limitations Are experimental and are open to new, creative recruiting ideas, or have experience working with hiring managers who are open to non-traditional talent strategies Thrive in fast-paced, dynamic environments and enjoy juggling multiple priorities Possess strong technical aptitude with the ability to understand and evaluate technical qualifications Have enthusiasm for deeply understanding the needs of researchers and innovating on recruiting processes to make them more tailored to the world of research Have excellent organizational skills and attention to detail, as well as a proactive mindset and ability to operate with autonomy Have experience partnering with researchers and hiring talent that work on GenAI and LLMs Have a proven track record of scaling and building diverse and high-performing teams in a fast-paced, high-growth startup environment Strong candidates may also: Bring a deep interest in AI safety research Have experience partnering with researchers and hiring talent that work on GenAI and LLMs Have experience with academic recruitment and research communities 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: $175,000 — $295,000 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: Al Jubail, Saudi Arabia; Al Khobar, Saudi Arabia; Yanbu, Saudi Arabia; Riyadh, Saudi Arabia; Jeddah, Saudi Arabia; Tabuk, Saudi Arabia Eram Talent is looking for an experienced Drilling Engineer to join our client in Saudi Arabia, a prominent player in the Oil & Gas sector. This role offers a unique opportunity to engage with challenging drilling projects, streamlining operations and enhancing efficiency in a fast-paced environment. The successful candidate will be responsible for designing and executing drilling programs, optimizing drilling performance, and ensuring rigorous adherence to safety and environmental standards. Collaboration with geologists, reservoir engineers, and drilling teams to develop innovative drilling solutions will be essential. Key Responsibilities: Design and implement comprehensive drilling programs. Optimize drilling operations to enhance performance and reduce costs. Work closely with cross-functional teams to create strategic well plans. Conduct risk assessments and ensure compliance with safety regulations. Analyze drilling performance data and recommend improvements. Oversee drilling activities and provide technical guidance to field teams. Requirements Bachelor's degree in Petroleum Engineering, Mechanical Engineering, or a related discipline. At least 10 years of experience in drilling engineering within the Oil & Gas industry. Strong understanding of drilling technologies and equipment. Proficiency in drilling software and data interpretation. Excellent analytical and problem-solving capabilities. Strong teamwork and communication skills. Fluent in English, both written and verbal. Willingness to reside and work in Saudi Arabia and travel to field locations as necessary.

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: Anthropic's ML Performance and Scaling team trains our production pretrained models, work that directly shapes the company's future and our mission to build safe, beneficial AI systems. As a Research Engineer on this team, you'll ensure our frontier models train reliably, efficiently, and at scale. This is demanding, high-impact work that requires both deep technical expertise and a genuine passion for the craft of large-scale ML systems. This role lives at the boundary between research and engineering. You'll work across our entire production training stack: performance optimization, hardware debugging, experimental design, and launch coordination. During launches, the team works in tight lockstep, responding to production issues that can't wait for tomorrow. Responsibilities: Own critical aspects of our production pretraining pipeline, including model operations, performance optimization, observability, and reliability Debug and resolve complex issues across the full stack—from hardware errors and networking to training dynamics and evaluation infrastructure Design and run experiments to improve training efficiency, reduce step time, increase uptime, and enhance model performance Respond to on-call incidents during model launches, diagnosing problems quickly and coordinating solutions across teams Build and maintain production logging, monitoring dashboards, and evaluation infrastructure Add new capabilities to the training codebase, such as long context support or novel architectures Collaborate closely with teammates across SF and London, as well as with Tokens, Architectures, and Systems teams Contribute to the team's institutional knowledge by documenting systems, debugging approaches, and lessons learned You May Be a Good Fit If You: Have hands-on experience training large language models, or deep expertise with JAX, TPU, PyTorch, or large-scale distributed systems Genuinely enjoy both research and engineering work—you'd describe your ideal split as roughly 50/50 rather than heavily weighted toward one or the other Are excited about being on-call for production systems, working long days during launches, and solving hard problems under pressure Thrive when working on whatever is most impactful, even if that changes day-to-day based on what the production model needs Excel at debugging complex, ambiguous problems across multiple layers of the stack Communicate clearly and collaborate effectively, especially when coordinating across time zones or during high-stress incidents Are passionate about the work itself and want to refine your craft as a research engineer Care about the societal impacts of AI and responsible scaling Strong Candidates May Also Have: Previous experience training LLM’s or working extensively with JAX/TPU, PyTorch, or other ML frameworks at scale Contributed to open-source LLM frameworks (e.g., open_lm, llm-foundry, mesh-transformer-jax) Published research on model training, scaling laws, or ML systems Experience with production ML systems, observability tools, or evaluation infrastructure Background as a systems engineer, quant, or in other roles requiring both technical depth and operational excellence What Makes This Role Unique: This is not a typical research engineering role. The work is highly operational—you'll be deeply involved in keeping our production models training smoothly, which means being responsive to incidents, flexible about priorities, and comfortable with uncertainty. During launches, the team often works extended hours and may need to respond to issues on evenings and weekends. However, this operational intensity comes with extraordinary learning opportunities. You'll gain hands-on experience with some of the largest, most sophisticated training runs in the industry. You'll work alongside world-class researchers and engineers, and the institutional knowledge you build will compound in ways that can't be easily transferred. For people who thrive on this type of work, it's uniquely rewarding. We're building a close-knit team of people who genuinely care about doing excellent work together. If you're someone who wants to be part of training the models that will define the future of AI—and you're excited about the full reality of what that entails—we'd love to hear from you. Location: This role requires working in-office 5 days per week in London. 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: £260,000 — £630,000 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: 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: Anthropic's ML Performance and Scaling team trains our production pretrained models, work that directly shapes the company's future and our mission to build safe, beneficial AI systems. As a Research Engineer on this team, you'll ensure our frontier models train reliably, efficiently, and at scale. This is demanding, high-impact work that requires both deep technical expertise and a genuine passion for the craft of large-scale ML systems. This role lives at the boundary between research and engineering. You'll work across our entire production training stack: performance optimization, hardware debugging, experimental design, and launch coordination. During launches, the team works in tight lockstep, responding to production issues that can't wait for tomorrow. Responsibilities: Own critical aspects of our production pretraining pipeline, including model operations, performance optimization, observability, and reliability Debug and resolve complex issues across the full stack—from hardware errors and networking to training dynamics and evaluation infrastructure Design and run experiments to improve training efficiency, reduce step time, increase uptime, and enhance model performance Respond to on-call incidents during model launches, diagnosing problems quickly and coordinating solutions across teams Build and maintain production logging, monitoring dashboards, and evaluation infrastructure Add new capabilities to the training codebase, such as long context support or novel architectures Collaborate closely with teammates across SF and London, as well as with Tokens, Architectures, and Systems teams Contribute to the team's institutional knowledge by documenting systems, debugging approaches, and lessons learned You May Be a Good Fit If You: Have hands-on experience training large language models, or deep expertise with JAX, TPU, PyTorch, or large-scale distributed systems Genuinely enjoy both research and engineering work—you'd describe your ideal split as roughly 50/50 rather than heavily weighted toward one or the other Are excited about being on-call for production systems, working long days during launches, and solving hard problems under pressure Thrive when working on whatever is most impactful, even if that changes day-to-day based on what the production model needs Excel at debugging complex, ambiguous problems across multiple layers of the stack Communicate clearly and collaborate effectively, especially when coordinating across time zones or during high-stress incidents Are passionate about the work itself and want to refine your craft as a research engineer Care about the societal impacts of AI and responsible scaling Strong Candidates May Also Have: Previous experience training LLM’s or working extensively with JAX/TPU, PyTorch, or other ML frameworks at scale Contributed to open-source LLM frameworks (e.g., open_lm, llm-foundry, mesh-transformer-jax) Published research on model training, scaling laws, or ML systems Experience with production ML systems, observability tools, or evaluation infrastructure Background as a systems engineer, quant, or in other roles requiring both technical depth and operational excellence What Makes This Role Unique: This is not a typical research engineering role. The work is highly operational—you'll be deeply involved in keeping our production models training smoothly, which means being responsive to incidents, flexible about priorities, and comfortable with uncertainty. During launches, the team often works extended hours and may need to respond to issues on evenings and weekends. However, this operational intensity comes with extraordinary learning opportunities. You'll gain hands-on experience with some of the largest, most sophisticated training runs in the industry. You'll work alongside world-class researchers and engineers, and the institutional knowledge you build will compound in ways that can't be easily transferred. For people who thrive on this type of work, it's uniquely rewarding. We're building a close-knit team of people who genuinely care about doing excellent work together. If you're someone who wants to be part of training the models that will define the future of AI—and you're excited about the full reality of what that entails—we'd love to hear from you. Location: This role requires working in-office 5 days per week in San Francisco. 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: $350,000 — $850,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: București, Romania Workplace: hybrid About us: EveryMatrix is a leading B2B SaaS provider delivering iGaming software, content and services. We provide casino, sports betting, platform and payments, and affiliate management to 300 customers worldwide. But that's not all! We're not just about numbers, we're about people . With a team of over 1400 passionate individuals spread across twelve countries in Europe and Asia, we're all united by our love for innovation and teamwork. Join us on this exciting journey as we continue to redefine the iGaming landscape, one groundbreaking solution at a time. About the job: We are seeking a dynamic and client-focused Account Manager to join our team, supporting the Platform division. You will be the primary liaison between our clients and internal teams, ensuring seamless service delivery, identifying growth opportunities, and driving customer satisfaction. What you'll get to do: • Build and maintain strong, long-term relationships with key clients. • Act as the main point of contact for client communications and escalations. • Understand client business goals and proactively identify upsell and cross-sell opportunities. • Deliver product training and demos to clients, ensuring they maximize the value of our solutions. • Collaborate with internal teams (Sales, Delivery, Product, Operations) to meet client expectations. • Analyze client data to identify trends, optimize ROI, and recommend improvements. • Coordinate and prioritize client requests for new features or services. • Represent the company at industry events across Europe (occasional travel required). • Stay updated with industry trends, product updates, and best practices. • Help the delivery team collect, verify, and prioritize clients' technical and non-technical requirements for new product features. • Ensure clients clearly understand the product development roadmap and upcoming releases. What You need to know: • 2–3 years of experience in Account Management, preferably in SaaS, payments, or iGaming. • Solid understanding of online business functions: payments, marketing, affiliates, customer service, and content. • Familiarity with player account management, wallet systems, fraud prevention, and responsible gaming tools is a plus. • Strong communication and interpersonal skills in English (written and spoken). • Analytical mindset with the ability to interpret data and provide actionable insights. • Proficiency in CRM tools and Microsoft Office Suite. • Self-motivated, organized, and able to thrive in a fast-paced, collaborative environment. Here's what we offer: · Start with 22 days of annual leave, with 2 additional days added each year, up to 32 days by your fifth year with us. · Stay Healthy: 3 sick leave days per year, no doctor's note required. · Hybrid work schedule is available after the first three months of employment, with up to 50 days of work from home per year. · Benefit from two Free Fridays each year, limited to one per quarter. · Support for New Parents: - 21 weeks of paid maternity leave, with the flexibility to work from home full-time until your child turns 1 year old. - 4 weeks of paternity leave, plus the flexibility to work from home full-time until your child is 13 weeks old. Our office perks include parking, on-site massages, and frequent team-building activities in various locations. And did we mention our amazing office space complete with its own pool and gym? Benefits & Perks: · Daily catered lunch or monthly lunch allowance. · Private Medical Subscription. · Access online learning platforms like Udemy for Business and LinkedIn Learning, and a budget for external training. At EveryMatrix, we're committed to creating a supportive and inclusive workplace where you can thrive both personally and professionally. Come join us and experience the difference! EveryMatrix is a member of the World Lottery Association (WLA) and the European Lotteries Association. In September 2023, it became the first iGaming supplier to receive WLA Safer Gambling Certification. EveryMatrix is proud of its commitment to safer gambling and player protection whilst producing market leading gaming solutions.

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 role As a Mid-Market Account Executive on Anthropic's Industries team, you'll drive the adoption of safe, frontier AI by securing strategic deals with mid-market companies in key verticals, unlocking new value streams throughout their business. You'll leverage your consultative sales expertise and technical acumen to propel revenue growth while becoming a trusted partner to customers, helping them embed and deploy AI while uncovering its full range of capabilities. In collaboration with GTM, Product, Engineering, and cross-functional teams, you'll continuously refine our value proposition, sales methodology, and market positioning to ensure differentiated value across the landscape. You will be contributing to the GTM strategy for our Industries team, focusing on sector-specific solutions and strategies within key verticals. In addition, the Mid-Market team is pioneering a new scaled sales playbook, where human AEs direct AI Agents to automate key elements of the buyer’s journey, while maintaining human engagement with prospects in the elements of a sales process that can’t be automated. You should be passionate about building a fundamentally new sales motion, by experimenting with new programs and workflows, and ultimately evangelizing the potential of Transformative AI to mid-market companies across verticals. Responsibilities: Contribute to the Mid-Market GTM strategy, identifying new use cases within your assigned verticals, winning new business, and sharing feedback with cross-functional teams Drive strategic expansion within key accounts in established verticals and new logo acquisition within emerging verticals Own a revenue target and all aspects of the sales cycle from prospecting to close, including finding key workflows to automate and agentify Become a trusted advisor to customers, understanding their unique needs and crafting tailored AI solutions. Co-innovate with customers and sell on the product roadmap while appropriately setting expectations Collaborate extensively with cross-functional partners including Product, Customer Success, Legal, Marketing, and Applied AI to help bring new solutions to market and provide feedback to shape roadmaps Develop sales collateral, proposals, and presentations to effectively position Anthropic's AI products. Continuously refine sales tactics and share best practices You may be a good fit if you have: 3+ years of enterprise B2B sales experience in technology, preferably in SaaS, API solutions, or emerging technologies Experience automating workflows or building automations to handle the repeatable components of a sales process Proven experience exceeding revenue targets in fast-paced organizations by effectively managing an evolving pipeline and sales process Excellent communication skills and the ability to present confidently and build connections across all customer levels, from ICs to C-level executives A knack for bringing order to chaos and an enthusiastic “roll up your sleeves'' mentality. You are a true team player A strategic, analytical approach to assessing markets combined with creative, tactical execution to capture opportunities A passion for and/or experience with advanced AI systems. You feel strongly about ensuring frontier AI systems are developed safely Location: This role does require being in office 4x a week in one of our hubs The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $290,000 — $360,000 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: Russia; Serbia; Georgia; Belarus We are seeking a highly skilled and strategic Head of Financial Modelling and Product Analytics to lead the design, development, and refinement of advanced financial and credit card models. This role plays a critical part in driving long-term profitability, optimizing business performance, and supporting strategic decision-making across the organization. The ideal candidate will have deep expertise in financial modelling and performance management, along with a strong track record of supporting business growth and regional expansion. Key Responsibilities Lead the development and enhancement of advanced financial and credit card models to support strategic decisions and long-term profitability. Provide analytical support for business strategy, regional expansion, and branch performance optimization. Oversee performance analytics, including reporting, productivity tracking, profitability analysis, and regional budget management. Drive business navigation through business case preparation, pilot execution, implementation tracking, and post-launch assessments. Develop pricing and profitability models across sub-segments, including LTP-based strategies, to maximize income. Partner with senior leadership to deliver actionable, data-driven insights that inform company-wide strategic initiatives and growth. Requirements 5+ years of experience in financial modelling, FP&A, or related analytical roles, with at least 3 years in a leadership position. Proven experience in financial planning and modelling, ideally within banking, fintech, or card services industries. Bachelor's degree in Finance, Accounting, Economics, or a related field (Master’s degree preferred). Strong proficiency with Excel, forecasting techniques, and data analysis tools such as SQL. Excellent analytical, problem-solving, and data interpretation skills, with a keen attention to detail. Well developed communication skills, team management skills. Strong communication and presentation skills with the ability to translate complex financial concepts for diverse stakeholders. Ability to work independently and manage priorities in a fast-paced, collaborative environment. Preferred Qualifications Experience supporting regional expansion and optimizing branch-level performance. Hands-on expertise in preparing business cases, supporting pilots, and conducting post-control assessments. Familiarity with statistical and data analytics tools such as Python or R. Advanced certification such as CFA, CPA, or MBA. Demonstrated ability to influence senior leadership and drive profitability initiatives. Benefits Flexible, fully remote full-time position. The opportunity to work with a global, innovative fintech company shaping the future of digital banking. Engaging, challenging projects with a direct impact on business performance. A collaborative and supportive team environment with room for professional growth.