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Location: FOUR SEASONS YACHTS, Worldwide ISMIRA Agency actively recruiting for position The Steward for Four Seasons Yachts! Four Seasons Yachts is redefining ultra-luxury travel with its first yacht setting sail in January 2026. As part of the prestigious Four Seasons Hotels and Resorts, this 207-meter-long super-yacht features 14 decks and 95 spacious suites, each with floor-to-ceiling windows and private terraces — offering unmatched elegance on the high seas. The shipboard Steward plays a vital role in supporting galley operations by ensuring high standards of cleanliness, safety, and organization in all dining and kitchen areas. This position reports directly to the Chief Steward and is responsible for assisting with dishwashing operations, stewarding tasks, and basic culinary preparations as needed. The Steward’s primary responsibility is to maintain a hygienic environment in all galley spaces, support the provisioning process, and contribute to a positive dining experience for guests. What does the company offer? Paid flights to and from the ship Free food and accommodation Exceptional trainings, clear pathways to promotion Above market average and fixed salaries Opportunity to travel the World - in its inaugural year 2026, the yacht will sail 32 itineraries across 52 voyages, visiting over 130 destinations in 30 countries Work in top level company and paradise-like settings with world-class onboard facilities Contract length 4-6 months with following 2 months of vacation RESPONSIBILITIES Regulatory Awareness: Fundamental understanding of VSP safety guidelines and USPH regulations related to food safety and hygiene. Hygiene Practices: Commitment to maintaining high standards of cleanliness and sanitation in all galley and dining areas. Safety Protocols: Ability to follow safety protocols to ensure a safe working environment for all crew members. Galley Assistance: Assist in daily galley operations, including dishwashing, cleaning, and organization of kitchen equipment and supplies. Basic Culinary Preparation: Assist with basic food preparation tasks, including washing, chopping, and organizing ingredients as directed by the culinary team. Provisioning Support: Help in the provisioning process by assisting with the organization and storage of supplies, ensuring all items are stored safely and efficiently. Effective Communication: Work closely with the Chief Steward and other kitchen staff to ensure effective communication and support within the team. Team Player: Foster a collaborative working environment by assisting fellow crew members and contributing to team goals. Learning and Development: Be open to feedback and training opportunities to enhance skills and knowledge in galley operations and food safety. Attention to Detail: Maintain high standards of cleanliness in dining areas, contributing to an enjoyable dining experience for guests. Guest Interaction: Be attentive to guest needs, assisting in service as required, and ensuring a welcoming environment. ETC. REQUIREMENTS: Cruise ship experience mandatory 21+ years old, no offensive tattoos allowed High school diploma or equivalent preferred. Basic food safety training is a plus Minimum of 1 year in food and beverage operations or related experience, preferably in a hospitality or cruise line environment Strong communication skills and proficiency in English are essential. Familiarity with food and beverage operational systems is a must. Michelin Star restaurant or hotel experience, especially in a sushi context, considered ideal. Willingness to live and work onboard the Yacht for extended periods, with travel to various international destinations. Nationalities that we process: 🇱🇹 🇱🇻 🇪🇪 🇵🇱 🇷🇺 🇧🇾 🇺🇦 🇲🇩 🇰🇿 🇰🇬 🇺🇿 🇦🇲 🇦🇿 🇹🇯 🇹🇲 🇬🇪 Last updated: April 28, 2025 You can submit your Resume here by pushing APPLY TO POSITION button below If you are not sure what position to apply for, you may instead submit a general application here and we will advise you: https://ismira.breezy.hr/p/c3fb653b09b501-general-application-for-hospitality-positions

Location: FOUR SEASONS YACHTS, Worldwide ISMIRA Agency actively recruiting for position Commis for Four Seasons Yachts! Four Seasons Yachts is redefining ultra-luxury travel with its first yacht setting sail in January 2026. As part of the prestigious Four Seasons Hotels and Resorts, this 207-meter-long super-yacht features 14 decks and 95 spacious suites, each with floor-to-ceiling windows and private terraces — offering unmatched elegance on the high seas. The shipboard Commis Chef plays an essential role in the culinary team, assisting in the preparation and presentation of exceptional dishes that align with Four Seasons’ commitment to excellence. This position supports the Chef de Partie and Sous Chef in various kitchen tasks, ensuring high standards of food quality and service. The Commis Chef’s primary responsibility is to assist in executing menu items efficiently while maintaining cleanliness and organization in their designated area. Collaboration with the culinary team is crucial to uphold the culinary vision and enhance the overall dining experience. What does the company offer? Paid flights to and from the ship Free food and accommodation Exceptional trainings, clear pathways to promotion Above market average and fixed salaries Opportunity to travel the World - in its inaugural year 2026, the yacht will sail 32 itineraries across 52 voyages, visiting over 130 destinations in 30 countries Work in top level company and paradise-like settings with world-class onboard facilities Contract length 4-6 months with following 2 months of vacation RESPONSIBILITIES Assist in the preparation and cooking of menu items, ensuring consistency in quality and presentation. Follow recipes and instructions accurately, contributing to the overall menu execution. Work closely with the Chef de Partie and kitchen team to ensure effective communication and coordination within the kitchen. Assist in the training and development of junior kitchen staff, fostering a collaborative work environment. Contribute to a dining experience that meets or exceeds guest expectations through high-quality food preparation and presentation. Be attentive to guest feedback and adapt dishes as needed to enhance satisfaction. Maintain cleanliness and organization in the assigned kitchen section, adhering to health and safety standards. Assist in the daily setup and breakdown of the kitchen, ensuring all equipment is properly maintained. Uphold standards of food safety and hygiene, conducting regular checks to ensure compliance with health regulations. Assist in monitoring inventory levels in the section and communicate needs to the Chef de Partie. Pay careful attention to detail in all aspects of food preparation and plating. Ensure that all dishes are served in line with Four Seasons’ standards for presentation and quality ETC. REQUIREMENTS: Cruise ship experience mandatory 21+ years old, no offensive tattoos allowed A Culinary Arts Degree or relevant certifications is preferred, but not mandatory. Basic food safety certification is beneficial Minimum of 1-2 years in food and beverage operations, with at least 1 year in a kitchen / galley role. Experience in luxury hospitality or yacht/cruise line operations is preferred. Strong communication skills and proficiency in English are essential. Familiarity with food and beverage operational systems is a must. Michelin Star restaurant or hotel experience, especially in a sushi context, considered ideal. Willingness to live and work onboard the Yacht for extended periods, with travel to various international destinations. Nationalities that we process: 🇱🇹 🇱🇻 🇪🇪 🇵🇱 🇷🇺 🇧🇾 🇺🇦 🇲🇩 🇰🇿 🇰🇬 🇺🇿 🇦🇲 🇦🇿 🇹🇯 🇹🇲 🇬🇪 Last updated: April 28, 2025 You can submit your Resume here by pushing APPLY TO POSITION button below If you are not sure what position to apply for, you may instead submit a general application here and we will advise you: https://ismira.breezy.hr/p/c3fb653b09b501-general-application-for-hospitality-positions

Location: Field - New Jersey At Clover Health, our mission is simple but powerful: to improve every life by delivering care that is high-quality, accessible, and rooted in compassion and innovation. Our Clover Care Services (CCS) team brings this mission to life by offering personalized, proactive support to our members while partnering closely with providers to elevate outcomes across the community. Powered by Clover Assistant, our advanced data-driven platform, we combine technology with the heart of caregiving, empowering patients, supporting providers, and transforming the way care is delivered. This is a career-defining role for a highly autonomous Palliative Care Physician who is passionate about delivering compassionate, patient-centered palliative care. You will be instrumental in optimizing the quality of life for our most vulnerable members, utilizing your expertise to manage complex symptoms, drive crucial advance care planning, and ensure dignity through seamless, timely transitions to hospice care. As a Palliative Care Provider, you will: Provide comprehensive palliative care to patients in their homes, focusing on pain and symptom management, improving quality of life, and offering emotional and spiritual support. Perform in-depth assessments of patients with serious or life-limiting conditions, develop personalized care plans, and manage their medical needs. Work closely with patients and their families to establish goals of care and ensure treatment aligns with their wishes, emphasizing patient autonomy and dignity. Work in collaboration with a multidisciplinary team (nurses, social workers, and other healthcare professionals) to ensure a holistic approach to patient care. Participate in a shared on-call rotation, as directed by the Senior Medical Director. Travel locally throughout Monmouth, Mercer, Middlesex, and Somerset Counties to provide in-home patient care visits. You should get in touch if: You have an MD or DO degree and are Board Certified or Board Eligible in Palliative Care, Hospice & Palliative Medicine, or a related field. You are located in or willing to travel throughout Monmouth, Mercer, Middlesex, and Somerset Counties, NJ. You hold (or are willing to obtain) an active New Jersey medical license, DEA registration, and CDS registration. You have a minimum of 3 years of clinical experience in palliative care, hospice, or a related field. Experience in home-based care, house calls, complex care management, or value-based care environments is strongly preferred. Benefits Overview : Financial Well-Being: Our commitment to attracting and retaining top talent begins with a competitive hourly rate. Additionally, we offer a performance-based bonus program, 401k matching, and regular compensation reviews to recognize and reward exceptional contributions. Support for Our Clinicians: Professional liability (malpractice) coverage, Clover-branded scrubs, Personal Protective Equipment (PPE), mileage reimbursement at the IRS rate, license and certification renewal reimbursement, and WiFi reimbursement for select roles. Physical Well-Being: We prioritize the health and well-being of our employees and their families by providing comprehensive medical, dental, and vision coverage. Your health matters to us, and we invest in ensuring you have access to quality healthcare. Mental Well-Being: We understand the importance of mental health in fostering productivity and maintaining work-life balance. To support this, we offer initiatives such as company holidays, access to mental health resources, and a generous time-off policy. Full-time employees accrue up to 18 days of vacation per year. Clover recognizes 10 federal holidays, including New Year's Day, Juneteenth, and Christmas. There are also 4 additional paid holidays, and 1 floating holiday. Professional Development: Developing internal talent is a priority for Clover. We offer paid Continuing Medical Education (CME) days, a role-based CME allowance, learning programs, mentorship, and regular performance feedback and reviews. Additional Perks: Reimbursement for office setup expenses Employee Stock Purchase Plan (ESPP) offering discounted equity opportunities Paid parental leave for all new parents And much more! About Clover: We are reinventing health insurance by combining the power of data with human empathy to keep our members healthier. We believe the healthcare system is broken, so we've created custom software and analytics to empower our clinical staff to intervene and provide personalized care to the people who need it most. We always put our members first, and our success as a team is measured by the quality of life of the people we serve. Those who work at Clover are passionate and mission-driven individuals with diverse areas of expertise, working together to solve the most complicated problem in the world: healthcare. From Clover’s inception, Diversity & Inclusion have always been key to our success. We are an Equal Opportunity Employer and our employees are people with different strengths, experiences, perspectives, opinions, and backgrounds, who share a passion for improving people's lives. Diversity not only includes race and gender identity, but also age, disability status, veteran status, sexual orientation, religion and many other parts of one’s identity. All of our employee’s points of view are key to our success, and inclusion is everyone's responsibility. #LI-ONSITE Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. We are an E-Verify company. Final pay is based on several factors including but not limited to internal equity, market data, and the applicant’s education, work experience, certifications, etc. A reasonable estimate of the base salary range for this role is: $250,000 — $275,000 USD

Location: Al Jubail, Saudi Arabia Eram Talent is in search of a talented Administrative Assistant to provide vital support to our growing team. The ideal candidate will possess strong organizational skills, be detail-oriented, and have the ability to manage multiple tasks efficiently in a dynamic environment. In this role, you will be responsible for a variety of administrative functions, including handling phone inquiries, managing appointment schedules, processing documents, and ensuring that the office operates smoothly. Your professionalism and interpersonal skills will be essential as you interact with staff, clients, and stakeholders. Key Responsibilities Assist with daily administrative operations, including managing calendars, scheduling meetings, and handling correspondence. Prepare and organize documentation for reports and presentations. Maintain filing systems and ensure that all documents are updated and accessible. Support the team with various projects and tasks as needed. Handle inquiries from clients and stakeholders in a timely and professional manner. Assist in the planning and coordination of company events and meetings. Requirements A diploma or equivalent is required; a degree in business administration or a related field is a plus. At least 3 years of administrative experience is preferred. Proficient in Microsoft Office Suite (Word, Excel, PowerPoint, Outlook). Exceptional organizational skills and attention to detail. Strong written and verbal communication skills. Ability to manage time effectively and prioritize tasks appropriately. Experience with office equipment and technology. Team-oriented with a positive attitude and willingness to assist others.

Location: Riyadh, Saudi Arabia; Dammam, Saudi Arabia; Jeddah, Saudi Arabia; Dubai, United Arab Emirates; Lusail, Qatar; Cairo, Egypt The Project Manager will lead and manage railway safety and inspection activities for key railway operation and maintenance projects across Saudi Arabia. The role requires extensive experience in railway systems focusing on safety compliance, technical inspection, accident investigation, and regulatory oversight, ensuring the highest standards of railway operation safety. Responsibilities: Conduct scheduled supervisory visits and technical inspections at major railway projects (e.g., Haramain High-Speed Railway, Riyadh Metro, Etihad Rail). Lead on-site investigations immediately following railway accidents or incidents. Prepare and submit detailed monitoring and investigation reports within prescribed timelines (usually within two weeks). Review, update, and contribute to railway policies, regulations, and procedural documents as requested by regulatory authorities. Participate in meetings with railway operators and government transport authorities, both remote and in-person. Verify operator compliance with safety certifications, operating licenses, and regulatory requirements during inspections. Provide continuous technical support and respond promptly to queries from the Authority staff between site visits. Ensure all inspection and investigation activities strictly comply with official safety standards and protocols. Requirements Minimum of 20 years’ experience in railway systems, safety, operation, and maintenance (O&M). Bachelor’s degree in Engineering, Safety Management, or related technical field. Master’s degree is preferred. Proven experience conducting technical investigations of railway accidents or incidents. Hands-on experience with railway operation, maintenance protocols, and safety standards. Prior experience working on railway projects in Saudi Arabia or GCC countries is highly desirable. Strong knowledge of international best practices for railway safety and inspection.

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. 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: Argentina Uptalent.io is a premier global platform connecting exceptional talent from Latin America with innovative companies across the globe. We are currently looking for a Remote Project Architect to focus on projects in California. Responsibilities Experience Level: At least 5+ years in a project architect role . Demonstrated experience leading full project lifecycles for U.S.-based projects. Core Responsibilities: Oversee project design intent through all phases (SD–CD–CA). Manage project documentation and ensure coordination among all consultants. Lead technical and code compliance reviews . Serve as the main point of contact for client and internal team coordination. Supervise job captains and production staff; ensure quality control. Provide construction administration support (RFIs, submittals, ASIs, etc.). Requirements Bachelor's or Master's degree in Architecture or related field. Minimum of 5 years of experience in architectural design , with a focus on California projects. Proficient in architectural software, such as Revit (mandatory), Autocad and SketchUp. Strong understanding of California building codes, zoning laws, and regulations. Excellent project management skills with the ability to handle multiple projects simultaneously. Able to align to California office hours (PST) Strong communication and interpersonal skills, with the ability to present designs and concepts effectively. Ability to work independently in a remote setting while collaborating with a virtual team. Fluency in English (both written and spoken); proficiency in Spanish is a plus. A portfolio demonstrating your architectural work, especially California-based projects. Benefits Work From Home or anywhere Highly Competitive Compensation Work for the most exciting companies in the US Flexible Schedule Healthy Work-Life Balance

Location: Dammam, Saudi Arabia; Dubai, United Arab Emirates; Doha, Qatar; Mumbai, India; Delhi, India Eram Talent, a leading Talent Acquisition Consultancy, is currently looking for a Safety Compliance Supervisor specializing in Train/Metro projects. This role is critical in ensuring that all safety and compliance protocols are adhered to during the operation and maintenance of train and metro systems. As the Safety Compliance Supervisor, you will oversee safety programs, conduct inspections, and ensure compliance with local, national, and international safety regulations. Responsibilities Develop, implement, and maintain safety compliance programs and policies for train and metro operations. Conduct regular safety inspections and audits to identify potential safety risks and ensure compliance with regulations. Facilitate safety training sessions for employees and stakeholders involved in train and metro operations. Investigate incidents and accidents, prepare reports, and make recommendations for preventive measures. Monitor safety performance metrics and report findings to management for continuous improvement. Collaborate with engineering, operations, and maintenance teams to ensure adherence to safety standards. Act as a point of contact for safety-related inquiries and concerns among staff and stakeholders. Requirements Bachelor's degree in Occupational Health and Safety, Engineering, or a related field. Minimum of 8 years of experience in safety compliance supervision in the transportation or rail industry. In-depth knowledge of local and international safety regulations related to train and metro operations. Strong leadership and communication skills, with the ability to train and influence others. Experience in conducting safety audits and risk assessments. Proven track record in incident investigation and reporting. Professional certifications in safety management (e.g., NEBOSH, OSHA) are highly desirable. Ability to work collaboratively in a diverse team environment. Willingness to travel to different sites as required.

Location: New York City, NY; New York City, NY | Seattle, WA; 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. You want to build large scale ML systems from the ground up. You care about making safe, steerable, trustworthy systems. As a Research Engineer, you'll touch all parts of our code and infrastructure, whether that's making the cluster more reliable for our big jobs, improving throughput and efficiency, running and designing scientific experiments, or improving our dev tooling. You're excited to write code when you understand the research context and more broadly why it's important. Note: This is an "evergreen" role that we keep open on an ongoing basis. We receive many applications for this position, and you may not hear back from us directly if we do not currently have an open role on any of our teams that matches your skills and experience. We encourage you to apply despite this, as we are continually evaluating for top talent to join our team. You are also welcome to reapply as you gain more experience, but we suggest only reapplying once per year. We may also put up separate, team-specific job postings . In those cases, the teams will give preference to candidates who apply to the team-specific postings, so if you are interested in a specific team please make sure to check for team-specific job postings! You may be a good fit if you: Have significant software engineering experience Are results-oriented, with a bias towards flexibility and impact Pick up slack, even if it goes outside your job description Enjoy pair programming (we love to pair!) Want to learn more about machine learning research Care about the societal impacts of your work Strong candidates may also have experience with: High performance, large-scale ML systems GPUs, Kubernetes, Pytorch, or OS internals Language modeling with transformers Reinforcement learning Large-scale ETL Representative projects: Optimizing the throughput of a new attention mechanism Comparing the compute efficiency of two Transformer variants Making a Wikipedia dataset in a format models can easily consume Scaling a distributed training job to thousands of GPUs Writing a design doc for fault tolerance strategies Creating an interactive visualization of attention between tokens in a language model 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 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. 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; Manila, Philippines; Dubai, United Arab Emirates; Cairo, Egypt; Lusail, Qatar; Karachi, Pakistan We are seeking a skilled Lab Equipment Maintenance Specialist to provide expert maintenance, repair, and calibration services for laboratory research equipment. The specialist will focus on maintaining cooling systems, growth chambers, autoclaves, and glass washers to ensure maximum uptime and minimal downtime. This role includes mentoring junior staff and delivering user training on equipment operation and maintenance. Key Responsibilities: Perform reactive and preventive maintenance and repairs on lab equipment. Troubleshoot and resolve equipment issues promptly. Coordinate maintenance schedules with end-users and vendors. Build productive relationships with manufacturers to obtain support and training. Identify spare parts requirements and assist with inventory management. Provide clear communication and training to lab users on equipment use and maintenance. Maintain compliance with safety policies and promote safe work practices. Participate in professional development and team collaboration activities. Travel up to 10% for training and external support as needed. Requirements Associate's or Bachelor’s degree in Heating, Ventilation, Air Conditioning, and Refrigeration (HVACR) or a related technical field. Minimum of 5 years’ hands-on experience maintaining lab , refrigeration equipment, including troubleshooting, preventive maintenance, and repairs. Proven experience in maintaining and troubleshooting laboratory equipment, focusing on hydraulics. Familiarity with equipment from manufacturers such as Buchi, CLF Plant Climatics, Systec, GE, Labconco, Liebherr, Smeg, Panasonic, Peak, Percival, and Thermo-Fisher is highly desirable. Ability to conduct regular inspections, preventive maintenance, and repairs on diverse laboratory apparatus. Familiarity with laboratory safety standards and best practices. Proven experience maintaining one or more of the following technologies: ultra-low temperature freezers, glassware washers, heat exchangers, press machines, chillers, heaters, and ovens. Effective communication skills for collaboration with engineering and lab personnel. Relevant technical degree or certification in Mechanics, Hydraulics, or a related field. Experience with calibration and validation procedures is a plus.

Location: Annapolis, MD Position Objective : Assists department leadership with the coordination of Central Sterile Services to include adequate staffing, technical & leadership support to staff, students and volunteers. Essential Functions: Coordinates the daily activities of the department to include scheduling, and work assignments. Monitors the case cart assembly process to ensure accurate pulling of supplies and instrumentation per surgeon specific pick tickets to include: timely assembly and delivery, accurate identification of surgeon and patient; accurate and timely processing of returns and filling of supply orders. Maintains adequate inventory of non-stock items to support daily operations of the Central Sterile department. Works in conjunction with Materials Management to resolve issues with disposable inventory to support OR cases; participates in physical inventories. Assembles, and sterilizes all instruments, instrument trays, utensils and packs, and provides technical assistance to resolve instrument tray issues in relation to decontamination and sterilization. Performs distribution functions as it relates to case carts and sterile instrumentation, as well as maintain supervision over assembling and sterilizing all instrument trays, and utensils according to established procedures and principles of aseptic technique. Education/Experience Requirements: HS Diploma/equivalent Two years experience as sterile processing technician. Required License/Certification : CRCST Two years of experience in a sterile processing or surgical services environment. Pay Range $19 — $27 USD Luminis Health Benefits Overview: •    Medical, Dental, and Vision Insurance •    Retirement Plan (with employer match for employees who work more than 1000 hours in a calendar year) •    Paid Time Off •    Tuition Assistance Benefits •    Employee Referral Bonus Program •    Paid Holidays, Disability, and Life/AD&D for full-time employees •    Wellness Programs •    Employee Assistance Programs and more *Benefit offerings based on employment status Opt-in for text notifications! Luminis Health's two-way SMS texting platform lets you receive notifications and messages from our Talent Acquisition team directly on your phone. To enable this feature, select "yes" when asked to "opt-in to receive text messages" and to "Receive updates from a recruiter about this job via SMS" when completing your application. Once you are opted in, you can easily opt-out at any time. Standard text messaging rates may apply based on the candidate's mobile carrier plan. Luminis Health is not responsible for any charges incurred by the recipient. Candidates are encouraged to review their mobile carrier's plan for applicable text messaging rates and usage charges.

Location: Madrid, Alcobendas, Spain Join the Exciting New Team at Imagine Live Spain We’re thrilled to announce the launch of a brand-new team at Imagine Live Spain, a rising star in the online casino market with a fresh approach to live dealer entertainment, we’re set to make waves in the Spanish market. Our mission is clear: to captivate players and provide a premium, unforgettable gaming experience that keeps them coming back for more. Work according to schedule: 8-hour shifts in the morning, afternoon, and night Part-time and full-time positions available Office Location: Alcobendas, Community of Madrid Job type: On-site Requirements Strong willingness to learn, grow, and continuously improve performance within the gaming industry Motivation to work in a multicultural and diverse team environment Basic understanding of customer service principles and practices High level of responsibility, reliability, and punctuality Ability to confidently work in front of cameras and with different studio equipment Excellent communication skills and a naturally engaging, positive presence Proficiency in Spanish (spoken and written) Good command in English (both spoken and written) Strong attention to detail and accuracy in all tasks Proactive, solution-oriented mindset with a positive attitude Previous experience in a casino or gaming environment is an advantage, but not mandatory Responsibilities Game Hosting Conduct live casino games, including but not limited to Blackjack, Roulette, Poker, and Baccarat, in a professional and friendly manner. Maintain high energy and enthusiasm throughout the game, creating a positive experience for online players. Engage with players through live chat or voice, maintaining a polite and professional demeanor at all times. Game Integrity Ensure all gaming rules are adhered to and followed, maintaining the integrity and fairness of the game. Shuffle, deal cards, spin the roulette wheel, or perform other required game activities with precision and accuracy. Monitor player behavior and report any suspicious activities, ensuring responsible gaming practices. Player Interaction Provide clear instructions to players and answer any game-related questions in a friendly and professional manner. Engage with players via live chat to enhance their gaming experience and build a sense of community. Reports player complaints or concerns, escalating issues to the Studio Supervisor when necessary. Compliance & Regulations Follow all local and international gaming regulations, ensuring compliance with responsible gaming practices. Adhere to internal company policies, procedures, and codes of conduct, particularly regarding professional behavior, dress code, and on-camera presence. Technical Management Manage the pace of the game according to studio guidelines and operational procedures. Ensure all equipment, including cards, roulette wheels, and cameras, is functioning properly. Report any technical issues or disruptions immediately to the relevant department. Team Collaboration Work closely with fellow game presenters and studio support staff to maintain seamless operations. Collaborate with technical teams and supervisors to ensure that game flow is uninterrupted and professional. Other info We're excited to announce the opening of a brand-new team at Imagine Live Spain, the latest sensation in the online casino market, located in Alcobendas, Community of Madrid. Imagine Live Spain is taking the Spanish market by storm with its fresh approach to live casino entertainment. We pride ourselves on creating an engaging, dynamic, and inclusive environment where our staff and players can thrive together. We are seeking passionate and proactive casino staff to join our dynamic team. This role is perfect for self-starters who are eager to make a difference and contribute to an electrifying atmosphere. As a member of our team, you will have the unique opportunity to help shape the player's experience, bringing your creativity and enthusiasm to the forefront of our operations. At Imagine Live Spain, we believe that our employees are our greatest asset. We foster a culture of collaboration and innovation, where every team member’s ideas are valued, and every voice is heard. As we build our brand, you will play a pivotal role in creating memorable experiences for our players, ensuring that they receive top-notch service and entertainment. We promise that there is a huge opportunity to make your mark here! Apply now to be one of the first team members joining Imagine Live Spain and to know more about our company and job offers! Contact Email: hrmarketing@imaginelive.com Address: Avenida de la Industria nº 4, Alcobendas - Madrid

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

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the 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. 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: Rhode Island Step into the innovative world of LG Electronics. As a global leader in technology, LG Electronics is dedicated to creating innovative solutions for a better life. Our brand promise, 'Life's Good', embodies our commitment to ensuring a happier life for all. We have a rich history spanning over six decades and a global presence in over 290 locations.  Our diverse portfolio includes Home Appliance Solutions, Media Entertainment Solutions, Vehicle Solutions, and Eco Solutions.  Our management philosophy, "Jeong-do Management," embodies our commitment to high ethical standards and transparent operations. Grounded in the principles of 'Customer-Value Creation' and 'People-Oriented Management', these values shape our corporate culture, fostering creativity, diversity, and integrity. At LG, we believe in the power of collective wisdom through an inclusive work environment.  Join us and become a part of a company that is shaping the future of technology.  At LG, we strive to make Life Good for Everyone. What we can offer : A crafted employee experience designed to foster professional growth, a focus on health & well-being and an internal community that will set you up for success We offer an environment that enables colleagues to demonstrate their capabilities, focus on their work and create value.  At LG, you're encouraged to take a creative and individual approach to challenges with strong emphasis placed on performance and skill—and equal, merit-based opportunities across the board. We want our colleagues to grow with our global business. That's why we deliver sure rewards for exceptional performance and offer industry-leading benefits. Come join the team! The Opportunity: The Assistant General Counsel will provide general legal support for the Pro Builder business of LG Electronics USA (LGEUS) which sells and installs home appliances and other products in new home and other residential construction projects. See https://www.lg.com/us/business/builder . The position will further serve to ensure appropriate controls are in place to mitigate legal risks and provide business legal support for the Pro Builder business. Draft, review, and support negotiation of various types of complex sales, installation, construction, services, and other agreements, including agreements with home builders, distributors, vendors, and other parties related to the Pro Builder business. Advise on antitrust and other legal issues associated with distribution of products and services, online sales tools, and other Pro Builder operations. Review and advise on proposed external communications including marketing materials, press releases, external presentations, white papers, remarks, and other materials for Pro Builder. Work with risk management staff on insurance coverage obligations. Advise on licensing and other regulatory requirements for the Pro Builder business. Manage and/or support pre-litigation and litigation disputes, government administrative agency actions, or subpoenas. Provides detailed reporting to the involved parties. When necessary, manage outside law firms. Generally support LGEUS’ Home Appliance and B2B business teams in the U.S. as needed. Qualifications JD degree, plus at least 5-7 years’ relevant experience. Experience negotiating construction and/or supply agreements with residential builders or similar parties. Strong execution and project management skills with ability to organize stakeholders from across a global organization on cross-functional projects (e.g., tax, credit, insurance, etc.). Negotiation and construction industry experience in general. In-house legal experience preferred. Advanced organizational skills and the ability to simultaneously manage multiple projects with aggressive time lines. Ability to work independently and with accountability within a multinational corporate group. Limited travel (10%) sometimes required. Applicable Bar license or ability to promptly obtain in-house counsel license. Recruiting Range $160,000 — $210,000 USD Benefits Offered Full-Time Employees: No-cost employee premiums for you and your eligible dependents for competitive medical, dental, vision and prescription benefits. Auto enrollment with immediate vesting of competitive company matching contributions in a 401(k) Retirement Savings Plan with several investment options. Generous Paid Time Off program that includes company holidays and a combined bank of paid sick and vacation time. Performance based Short-Term Incentives (varies by role). Access to confidential mental health resources to help you and your loved ones improve your quality of life. Personal fitness goal incentives. Family orientated benefits such as paid parental leave and support for families raising children with learning, social, behavioral challenges, or developmental disabilities. Group Rate Life and Disability Insurance. Benefits Offered Temporary/Contractors: Eligible for the relevant benefit programs offered through our partner agencies. Privacy Notice to California Applicants Applicants who need assistance or a reasonable accommodation during the hiring process may contact our team by phone at: 973-477-7090 or support@lg4me.freshdesk.com. This email and phone number will only reply to accommodation requests and is not intended for general employment inquiries. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. In addition to the above, LG believes that pay transparency is a key part of diversity, equity, and inclusion. Our salary ranges take into account many factors in making compensation decisions including but not limited to skillset, experience, licensure, certifications, internal equity, and other business needs. While we consider geographic pay differentials in final offers, because we operate in many geographies where applicable, the salary range listed may not reflect all geographic differentials applied .

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. 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.