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Location: San Francisco, CA | New York City, NY; Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's go-to-market teams are scaling quickly, and the decisions they make, from who to sell to and how to cover them to where to invest next, are only as good as the intelligence and infrastructure underneath them. As a Data Engineer on the GTM Systems data foundations team, you'll help build that layer: the data products that give sellers, operators, and analysts a rich, current, and trusted picture of the market, and the engineering rigor that lets our GTM systems run reliably as the business grows. This is an engineering role that goes beyond pipelines. You'll treat GTM data as a product and a platform: built once, kept current, and available wherever people work. Alongside the build, you'll help shape what the data means: how attributes are defined, which sources are trusted, and how the business puts them to use. The role sits at the intersection of the sales organization, the data organization, and the systems that data flows through. You'll partner closely with Sales Strategy and Operations, Finance, Data Science, and the central data engineering team. Key responsibilities Bring disparate internal and external sources together: orchestrate, model, and normalize first-party product and revenue data alongside third-party data into one usable understanding of the company landscape Build and maintain identity and entity resolution, so every source attaches to one trusted record for each company and the relationships between companies are clear Help build the canonical layer where key attributes are defined once and mean the same thing everywhere, with clear sourcing logic, provenance, and freshness Turn data into intelligence: scores, signals, and AI-generated attributes that help GTM teams prioritize and act, held to the same quality bar as any other source Deliver that intelligence to the surfaces where teams work, including the CRM, and bring production discipline to how data moves through those systems Operate what you build as a living system, with observability, data quality, cost, security, and access controls designed in, so problems surface before the field sees them Partner with the owners of GTM processes such as planning, segmentation, and routing to settle definitions, make clear commitments, and communicate tradeoffs Make the platform easy for other teams to build on, so work is contributed once and not rebuilt in silos Minimum qualifications Experience as a data engineer or analytics engineer building and operating production pipelines and data models Strong SQL and Python, and experience with modern transformation and orchestration tooling on a cloud data warehouse Experience making messy data from many sources usable, including record matching, deduplication, and reconciling conflicting values Familiarity with go-to-market data and the CRM systems it flows through Judgment beyond the pipeline: weighing data sources, shaping definitions with business partners, and making calls on data quality Clear written and verbal communication with technical and non-technical partners Regular hands-on use of AI tools in your engineering work Preferred qualifications 5+ years of experience in data engineering, analytics engineering, or GTM data roles Experience building a shared data product or platform that several teams depend on and contribute to Experience with company data such as firmographics, corporate hierarchies, or master data management Experience using LLMs inside data pipelines and evaluating their output Hands-on Salesforce experience, including working at large data volumes Experience supporting GTM planning processes such as territory design, segmentation, or scoring 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: $270,000 — $345,000 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: Remote in the United States Workplace: Remote At Sanity https://sanity.io/, we’re building the future of AI-powered Content Operations. Our AI Content Operating System gives teams the freedom to model, create, and automate content the way their business works, accelerating digital development and supercharging content operations efficiency. Companies like SKIMS, Figma, Riot Games, Anthropic, COMPLEX, Nordstrom, and Morning Brew use Sanity to power and automate their content operations. In this role, you’ll join the Finance team as the AI & Innovation Lead, G&A, reporting to the CFO. You’ll sit in Finance with a dotted line to our Director of Systems Engineering. This role sits at the intersection of G&A operations, data, workflow automation, and AI. You bring the domain depth: you know how G&A teams actually work, where their processes and systems break, and which manual work eats their week. You’ll start with Finance, then quickly extend into People and the rest of G&A. You’ll prototype the fix yourself, vibe-coding agents, apps, and workflows on Sanity’s own platform and AI tools. Systems Engineering and the Data team back you on architecture, security, and production hardening, so your ideas become systems the business can rely on. If you’re a G&A operator who has already started rebuilding your own work with AI, and you want to do that for an entire G&A organization, this role is for you. WHAT YOU WOULD DO: - Shape and execute on the AI first transformation roadmap for G&A: map where G&A teams lose time, and decide what to build, buy, or automate first. - Run intake, prioritization and stage-gates for the G&A transformation portfolio, with clear owners, decision rights and a regular exec review cadence - Prototype agents, apps, and automations yourself on Sanity’s platform and AI tools, then partner with Systems Engineering to take the ones that work to production. - Translate G&A processes into clear specs and prototypes for engineering: data flows, system of record, controls, edge cases, and what “done” looks like. - Build for trust through controls, audit trails, access management, data quality, and human-in-the-loop review, so G&A teams and auditors can rely on what you ship. - Partner with the Data and IT teams on the G&A systems and data infrastructure, connecting the systems G&A and our data warehouse together. - Drive adoption across G&A: train teams, document the paved paths, and help each function run more of its own work with AI and retire legacy manual processes. - Measure impact through hours saved, cycle times, error and exception rates, adoption, AI evals, and stakeholder feedback. - Help shape the practices and culture of a young Systems Engineering team with a strong bias toward practical impact. ABOUT YOU: - Remote in North America (SF preferred). - Deep G&A domain knowledge, ideally 8+ years in Finance, Accounting, People ops, or business operations at a software company. - Hands-on experience applying AI to G&A work, for example leading an AI program for your function, automating a core process, or building agents for your own team. - Comfortable building prototypes with AI coding tools (Claude Code, Cursor, or similar). You don’t need to be a software engineer, and you’re not afraid of a terminal. - Understands APIs, data flows, and how G&A systems connect: what moves between the ERP, HRIS, CRM, contract tools, and warehouse, and where it breaks. - Excited by AI as an operating model, including agents, tool use, structured context, prompts, evals, and automation. - Cares deeply about controls, accuracy, auditability, and systems G&A teams can confidently rely on. - Program management strength: you can run a cross-functional roadmap, align stakeholders, and land change with teams that are busy running the business. - Comfortable with ambiguity and able to turn loosely defined business problems into shipped solutions. - Clear communicator who can explain G&A processes to engineers and technical tradeoffs to G&A teams. NICE TO HAVE: - Finance or accounting background - Hands-on with G&A systems such as NetSuite, Salesforce, an HRIS, and a data warehouse like BigQuery. - Experience across more than one G&A function. - Built or ran a G&A transformation, systems implementation, or migration. - Background in program management, change management, or enablement for internal tools. - Experience working at a high-growth or multi-entity company, ideally across the US and Europe. WHAT WE CAN OFFER: - A highly-skilled, inspiring, and supportive team - Positive, flexible, and trust-based work environment that encourages long-term professional and personal growth - A global, multi-culturally diverse group of colleagues and customers - Comprehensive health plans and perks - A healthy work-life balance that accommodates individual and family needs - Competitive stock options program and location-based salary - Salary Range for SF: $165k - $180k annually. Final compensation within this range will be determined based on the candidate’s experience and skill set.   WHO WE ARE: Sanity.io http://Sanity.io is a modern, flexible content operating system that replaces rigid legacy content management systems. One of our big differentiators is treating content as data so that it can be stored in a single source of truth, but seamlessly adapted and personalized for any channel without extra effort. Forward-thinking companies choose Sanity because they can create tailored content authoring experiences, customized workflows, and content models that reflect their business.   Sanity raised a $85m Series C led by GP Bullhound and is also backed by leading investors like ICONIQ Growth, Threshold Ventures, Heavybit and Shopify, as well as founders of companies like Vercel, WPEngine, Twitter, Mux, Netlify and Heroku. This funding round has put Sanity in a strong position for accelerated growth in the coming years. You can only build a great company with a great culture. Sanity is a 300+ person company with highly committed and ambitious people. We are pioneers, we exist for our customers, we are hel ved, and we love type two fun! Read more about our values here! https://www.sanity.io/blog/our-sanity-values   Sanity.io pledges to be an organization that reflects the globally diverse audience that our product serves. We believe that in addition to hiring the best talent, a diversity of perspectives, ideas, and cultures leads to the creation of better products and services. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, or gender identity.

Location: Lomira, WI Michels Road & Stone, Inc., is shaping the future. We provide and place materials for road, airport, mass excavation and shoreline protection projects. Our projects are large; the tolerance for error is tiny. Our leaders, field crews and massive fleet of specialized equipment is focused on excellence. Are you? Our work improves lives. Find out how a career at Michels Road & Stone, Inc. can change yours Our Construction Technology department is responsible for supporting all aspects related to 3D modeling, surveying and GPS Grade Control activities for the division such as: reviewing BIM Clash detection with applicable software (Revisto, NavisWorks), reviewing construction plan sets, performing take-offs and building project models, collecting grade points, utilities and other infrastructure data and calibrating project sites using GPS survey and/or grad control equipment Why Michels Road & Stone, Inc.? We will never ask you to prioritize speed ahead of safety We are family owned and operated We invest an average of $5,000 per employee on training each year We share experience and insights to develop industry leaders We are a part of the Michels family of companies – one of North America’s largest, most diversified energy and infrastructure contractors We offer a comprehensive benefits program, including Health, Dental, Life, Flexible Spending Accounts, Health Savings Account, Short Term and Long-Term Disability Insurance, 401(k) plan, Legal Plan, and Identity Theft and Monitoring Plan.  Depending on your positions and location you may participate in a different benefit plan Why you? You thrive in fast-paced environments under tight deadlines You relish new challenges and evolving technology You enjoy collaborating and communicating with your teammates You like to know your efforts are noticed and appreciated You possess strong written and verbal communication skills What it takes: 1-3 years of Survey Tech experience and / or heavy civil experience Strong analytical and problem-solving skills with attention to detail. Proficient in Microsoft Office, AutoCAD, MicroStation, Trimble Software, Top Con, GPS or Reivt, Revisto, Navisworks, GIS Software, BIM360 Strong organizational Skills Must possess a valid driver license for the type(s) of vehicles which may be driven, and an acceptable driving record as determined by Michels Review Team. AA/EOE/M/W/Vet/Disability https://www.michels.us/website-user-privacy-policy/

Location: Lomira, WI Michels Road & Stone, Inc., is shaping the future. We provide and place materials for road, airport, mass excavation and shoreline protection projects. Our projects are large; the tolerance for error is tiny. Our leaders, field crews and massive fleet of specialized equipment is focused on excellence. Are you? Our work improves lives. Find out how a career at Michels Road & Stone, Inc. can change yours Our Construction Technology department is responsible for supporting all aspects related to 3D modeling, surveying and GPS Grade Control activities for the division such as: reviewing BIM Clash detection with applicable software (Revisto, NavisWorks), reviewing construction plan sets, performing take-offs and building project models, collecting grade points, utilities and other infrastructure data and calibrating project sites using GPS survey and/or grad control equipment Why Michels Road & Stone, Inc.? We will never ask you to prioritize speed ahead of safety We are family owned and operated We invest an average of $5,000 per employee on training each year We share experience and insights to develop industry leaders We are a part of the Michels family of companies – one of North America’s largest, most diversified energy and infrastructure contractors We offer a comprehensive benefits program, including Health, Dental, Life, Flexible Spending Accounts, Health Savings Account, Short Term and Long-Term Disability Insurance, 401(k) plan, Legal Plan, and Identity Theft and Monitoring Plan.  Depending on your positions and location you may participate in a different benefit plan Why you? You thrive in fast-paced environments under tight deadlines You relish new challenges and evolving technology You enjoy collaborating and communicating with your teammates You like to know your efforts are noticed and appreciated You possess strong written and verbal communication skills What it takes: 1-3 years of 3D Modeling experience and / or heavy civil experience Strong analytical and problem-solving skills with attention to detail. Proficient in Microsoft Office, AutoCAD, MicroStation, Trimble Software, Top Con, GPS or Reivt, Revisto, Navisworks, GIS Software, BIM360 Strong organizational Skills Must possess a valid driver license for the type(s) of vehicles which may be driven, and an acceptable driving record as determined by Michels Review Team. AA/EOE/M/W/Vet/Disability https://www.michels.us/website-user-privacy-policy/

— человека на стыке продукта, разработки и тестирования, который будет вести задачи от идеи до работающего и проверенного изменения с помощью AI-агентов. Разбираться в продуктовой задаче: уточнять нужное поведение и определять границы изменения.

Location: Remote Workplace: Remote We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. *Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers. ABOUT THE ROLE *Open to hiring in the US. We're building a creative platform used by artists, filmmakers, and teams at some of the world's most recognized brands. Our support org handles everything from a five-minute billing question to a technical escalation, and we're building out a dedicated tier for the first kind so our more experienced specialists can focus on the second. We're looking for a Support Representative who's accurate, fast, and comfortable following a process closely under volume. No creative or AI background required. We'll train you on the product. WHAT YOU’LL DO - Resolve high-volume, tickets across account access, billing, and plan questions for Free, Standard, and Pro and Max users - Use existing macros, playbooks, and AI support layer suggestions to close tickets accurately and quickly - Recognize when a ticket needs product judgment or creative-tool troubleshooting, and route it to Tier 2 Support or Enterprise - Flag recurring questions that don't have a macro yet WHAT YOU’LL NEED - Clear, accurate written communication, especially on process-driven, checklist-style work - Comfortable with repetitive, high-volume work without losing accuracy - Prior experience with tools like Zendesk, Notion, or Slack is a plus, not a requirement - 0-2 years in any customer-facing or process-driven role (preferably in SaaS, but not required) - Enough curiosity to spend a little time in the product or help docs before talking to us. No creative background needed, just evidence you looked WHAT SETS GREAT CANDIDATES APART The best people in this role follow the playbook precisely and know exactly when a ticket doesn't fit it. They don't force a wrong answer to hit volume, and they don't escalate everything out of caution either. They've put in enough time with Runway to have a real sense of what it does and who uses it, so a ticket that's slightly off-script doesn't stump them, even without a creative background. When they see the same question surface three times, they ask whether it should become a macro instead of just answering it a third time. Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. WORKING AT RUNWAY Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator https://runwayml.com/world-simulator.html - GWM-1 https://runwayml.com/research/introducing-runway-gwm-1 - Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5 - General World Models https://runwayml.com/research/introducing-general-world-models - Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section - Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section - Runway Studios https://runwayml.com/studios We're excited to be recognized as a best place to work: Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024

Location: London & San Francisco Workplace: onsite Application deadline: We are conducting interviews actively and aim to fill this role as soon as we find someone suitable. ABOUT THE OPPORTUNITY The OpenAI/Hugging Face incident may be the biggest warning shot we get before catastrophic loss-of-control. In its aftermath, Anthropic and OpenAI committed to giving embedded evaluators an unprecedented level of access.  Embedded evaluations are the best existing method to find out whether alignment is on track. With OpenAI predicting an automated researcher by March 2028, we don't have time to start with an MVP embedded evaluation and iteratively improve it. The first embedded evaluations will set the standard and we have to get it right.  As a fundamental researcher, your ground-breaking discoveries will make our embedded evaluations better. For example, our fundamental science team's paper “Measuring Reward-Seeking via Contrastive Belief Updates” can be adapted by embedded evaluators. We want more breakthroughs like this. We are also developing a “Science of Scheming”. The goal is ambitious and we’re looking for Research Scientists and Research Engineers who are excited to build a new hard science from the ground up. KEY RESPONSIBILITIES Collaborate with leading AI developers. We partner with multiple labs, giving you access to a breadth of models that no single AI lab could offer. Through long-term research collaborations, your work directly impacts how the most capable AI systems are built and deployed. Deeply study the RL dynamics that lead to the emergence of reward-seeking, evaluation awareness or misaligned preferences. Design and train model organisms, and scale your insights to frontier systems. Work towards “Scaling laws of scheming”. Build the empirical foundations to predict how scheming risks evolve as models scale in capability. Develop novel and ambitious evaluation techniques that have a chance of scaling to highly evaluation aware models. Deep dive into AI cognition. Discover patterns in the reasoning processes of frontier AI systems that no one else has ever observed before. Note:  We are not hiring for interpretability roles. KEY REQUIREMENTS Fast-paced empirical research: You can design and execute experiments. You always strive to speed up iteration cycles and relentlessly drive progress towards the next empirical milestone. AI power-user: You’re capable of using AI to accelerate your work, technical or otherwise. You have experience using different models, know which ones to use for which tasks, when not to use AI, and always experiment with new AI workflows. Conceptual thinking and writing : You are familiar with prior work on AI scheming, from classic literature like Is Power-Seeking AI an Existential Risk? to modern research.  You have done enough deep thinking about the problem to generate some original ideas. Given vague and underspecified concepts, you come up with clarifying insights, clever ideas for experiments, and detailed plans. To explain your work, you can produce high-quality scientific writing, figures, blog posts, microsites, and tweet threads. Intense interest in AI progress: You always stay up to date on the latest model releases, and continuously tinker with new and creative AI workflows to speed up your work. You are fascinated by AI cognition and actively spend time trying to understand how they think. Experience RL-training LLMs: You have hands-on experience in training LLMs via reinforcement learning. You have encountered and resolved countless painful issues from GPU failures to debugging learning instabilities. Strong analytical skills: You bring rigorous quantitative chops from working on fields such as scaling laws in LLMs, statistical physics, dynamical systems, applied statistics etc. You're comfortable building mathematical models of empirical phenomena and know how to extract signal from noisy data. Mission commitment: Apollo estimates that RSI will happen soon, and we are extremely concerned that AGI will catastrophically not be aligned with human values. Hence we have an “intense, but in a good way” culture . We will ask a lot from you, but in return you will personally have a large impact on loss-of-control risk. NICE TO HAVES Software engineering skills: Strong software engineering skills correlate highly with effective execution, even in an era of AI agents. Our entire stack uses Python. Project management experience: We are rapidly growing while executing high-quality research projects as fast as possible. You have previously managed strong ICs and can keep research projects on schedule despite unexpected delays or surprising experiment results. We want to emphasize that people who feel they don’t fulfill all of these characteristics but think they would be a good fit for the position, nonetheless, are strongly encouraged to apply. We believe that excellent candidates can come from a variety of backgrounds and are excited to give you opportunities to shine. We don’t require a formal background or industry experience and welcome self-taught candidates. BENEFITS This role offers a market-competitive salary, equity, and competitive benefits. Depending on your experience, you may be offered a Lead or individual contributor position. Salary: Recognised experts who can lead projects of significant scope: USD 350,000 - USD 590,000 or £230,000 - £395,000 Strong individual contributors: USD 245,000 - USD 405,000 or £160,000 - £270,000 Unlimited vacation Unlimited sick leave Up to 6 months of paid parental leave Comprehensive health, dental and vision insurance Retirement savings with competitive employer matching (e.g. 401(k) for US employees) Lunch, dinner, and snacks are provided for all employees on workdays Paid work trips, including staff retreats, business trips, and relevant conferences A yearly $1,000 (USD) professional development budget Relocation support and visa fees (if applicable). We are able to sponsor visas to the UK and US. LOGISTICS Time Allocation : Full-time Location : This is an in-person role working out of our London or San Francisco office. We offer flexible working hours and wfh arrangements. Remote candidates will only be considered if they are exceptional and can travel at least 1 week/month to either office. Visa sponsorship: We sponsor visas in both the UK and US. Sponsorship isn't guaranteed for every role or candidate, but if we make you an offer, we'll work with you to find the right visa route. ABOUT APOLLO RESEARCH The rapid rise in AI capabilities offers tremendous opportunities, but also presents significant risks. At Apollo Research, we’re primarily concerned with risks from Loss of Control, i.e. risks coming from the model itself rather than e.g. humans misusing the AI. We’re particularly concerned with deceptive alignment / scheming, a phenomenon where a model appears to be aligned but is, in fact, misaligned and capable of evading human oversight. We work on the detection of scheming (e.g., building evaluations and novel evaluation techniques), the science of scheming (e.g., model organisms and the study of scaling trends), and scheming mitigations (e.g., control). We closely work with multiple frontier AI companies, e.g. to test their models before deployment and collaborate on fundamental research. At Apollo, we aim for a culture that emphasizes truth-seeking, being goal-oriented, giving and receiving constructive feedback, and being friendly and helpful. If you’re interested in more details about what it’s like working at Apollo, you can find more information here. ABOUT THE TEAM Alex Meinke leads the fundamental science team’s research agenda with guidance from Marius Hobbhahn, though team members lead individual projects. You will mostly work with the fundamental science team as well as our team of software engineers, but you will likely sometimes interact with the governance team to translate technical knowledge into concrete recommendations. You can find our full team here. Equality Statement: Apollo Research is an Equal Opportunity Employer. We value diversity and are committed to providing equal opportunities to all, regardless of age, disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex, or sexual orientation. How to apply: Please complete the application form with your CV. The provision of a cover letter is optional but not necessary. Please also feel free to share links to relevant work samples. About the interview process: Our multi-stage process includes a screening interview, 3 technical interviews, and a final interview with Marius (CEO). The technical interviews will be closely related to tasks the candidate would do on the job. There are no LeetCode-style general coding interviews. If you want to prepare for the interviews, we suggest looking at one of our papers or blog posts published in the last 12 months. Then either (a) replicate/extend the result hands-on, or (b) identify a conceptual limitation and write a shovel-ready project plan that would address it. Your Privacy and Fairness in Our Recruitment Process: We are committed to protecting your data, ensuring fairness, and adhering to workplace fairness principles in our recruitment process. To enhance hiring efficiency, we use AI-powered tools to assist with tasks such as resume screening. These tools are designed and deployed in compliance with internationally recognized AI governance frameworks. Your personal data is handled securely and transparently. We adopt a human-centred approach: all resumes are screened by a human and final hiring decisions are made by our team. If you have questions about how your data is processed or wish to report concerns about fairness, please contact us at info@apolloresearch.ai.

Location: United States- Fayetteville, North Carolina Founded in 1985, ATS is a company with a presence in the United States, Mexico and the United Kingdom. We are professionals in Industrial Maintenance and we make factories run better. Fundada en 1985, ATS es una empresa con presencia en los Estados Unidos, México y el Reino Unido. Somos profesionales en mantenimiento industrial y hacemos que las fábricas funcionen mejor. Principal Duties/Responsibilities: · Performs mid to expert level break-fix & preventative maintenance. This includes but is not limited to: observing devises in operation to location root cause of problem; dismantling devices to gain access to and remove defective parts; examining parts to detect imperfections; adjustment of functional parts of devices and control instruments; repair and/or replacement of defective parts; testing of device to observe performance; and performing tests for electrical circuitry and mechanical systems; reconditioning and repairing machine tools. · Identifies and sources parts, supplies and repair items as necessary. · Independently performs maintenance as per industry standards. · May be required to setup and operate multiple machining operations including but not limited to: lathe, drill press, grinder, and other metalworking tools to make and repair parts. May perform welding tasks. · Complies with 5S and housekeeping standards. · Drives and participates in CI activities - processes, results and cost savings. · Updates records and reviews CMMS history. · Troubleshoots and analyzes control systems to resolve software/ hardware and configuration problems. · Utilizes predictive maintenance technologies to collect equipment performance data. · Provides assistance to lower level technicians and leadership to small teams. Performs more advanced functions as a part of training and development. · Completes on-the-job and technical self-study programs for career development. · Follows all safety related policies, rules, regulations, technical instructions and guidelines. Situational awareness and identify unsafe behaviors and conditions. Knowledge, Skills, Abilities, & Behaviors Required: · High School Graduate or equivalent (GED). · Associates degree with a Technical focus and 3 years of related experience in general industry; or 5 years of related experience in general industry or successful completion of the ATS Technician Progression Program. · Understands electrical, mechanical, fluid power and control systems. Can analyze problems and perform repairs. · Must be able to use basic hand tools and specialized tools as appropriate · May be required to travel. Physical Demands and Working Conditions: While performing the duties of this job, the employee is regularly required to stand; walk; use hands/fingers to handle, or feel; reach with hands and arms; climb, ascend/descend or balance to heights that may require a ladder or lift; stoop, kneel, crouch, or crawl in confined spaces; and talk or hear. The employee is occasionally required to sit. The employee must occasionally lift and/or move more than 50 pounds. The employee is regularly required to use close vision and color vision. The employee is occasionally exposed to outside weather conditions and risk of electrical shock. Work is typically performed in a factory environment and is usually very loud. In the factory environment, the employee may be exposed to hazardous materials and/or greasy or slippery factory floors. ​ ATS believes in fair and equitable pay. Please note that actual salaries may vary within the range, or be above or below the range, based on factors including, but not limited to, education, training, experience, professional achievement, business need, and location. We also offer market leading benefit programs including Medical, Dental and Vision plans, PTO, a 401k retirement plans with employer matching, tuition reimbursement, and more. Pay Range $27.37 — $35.01 USD ATS is committed to providing equal employment opportunities in all aspects of employment to all applicants and employees without regard to age, color, race, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, disability, veteran status, genetic information, or other legally protected status. Review the privacy policy here. ATS se compromete a brindar igualdad de oportunidades de empleo en todos los aspectos del empleo a todos los solicitantes y empleados, independientemente de su edad, color, raza, religión, sexo (incluido el embarazo, identidad de género y orientación sexual), origen nacional, discapacidad, estatus de veterano, información genética u otro estatus legalmente protegido. Revisión de la política de privacidad aquí here.

Работа: изготовление и украшение тортов, упаковка, фасовка и маркировка продукции.

We're looking for an Automation Specialist to join our Movie and TV Metadata team — a unique, blended role for someone who wants to combine hands-on content work with the chance to build real AI and automation solutions. Design, develop, and deploy automation and AI-assisted tools using approved platforms, under the guidance of your Project Manager.

Location: Georgia; Romania; Gibraltar Office; Poland; Bulgaria; Serbia Workplace: Remote We are B2Spin, dedicated to delivering the best Free-to-Play Social Casino and gaming experiences, creating captivating, engaging, and unique products accessible to everyone. We've built a global team of talented professionals who are constantly pushing the boundaries of player experience. We're not here to be part of the industry. We're here to revolutionize it. The Role Keep our core platforms running at their best so our teams can focus on building great products without missing a beat. What You Will Do - Own the day-to-day administration of Atlassian (Jira/Confluence), Slack, and Google Workspace across a fast-scaling global team - Manage user provisioning, access controls, permissions, and licensing across all three platforms - Resolve system requests and technical issues quickly, unblocking teams and keeping operations moving - Optimise platform configurations, workflows, and integrations to improve efficiency and reduce friction - Maintain documentation, governance standards, and security best practices across all tools - Act as the go-to expert, supporting teams with onboarding, training, and best-practice guidance What We Are Looking For - Proven hands-on experience administering Atlassian, Slack, and Google Workspace in a professional environment - Strong understanding of user management, SSO, access controls, and platform security - A proactive problem-solver who can prioritise competing requests without losing momentum - Comfortable working independently and managing your own workload with minimal oversight - Strong communicator who can translate technical concepts for non-technical stakeholders - Experience supporting distributed, global teams is a strong plus Why You Will Love It This is a role where your work genuinely matters from day one. You'll have real ownership, clear impact, and the autonomy to shape how our platforms evolve. You'll be part of a driven, global team building something ambitious, and you'll be the person who keeps the engine running smoothly while we do it. We hire based on skills, drive, and ideas — nothing else. Your background, gender, age, race, ethnicity, disability, sexual orientation, religion, neurodiversity, or educational path will never be a barrier to joining us. We also welcome candidates from non-traditional career journeys and value diverse perspectives that challenge conventional thinking. Diversity fuels our innovation, collaboration, and growth, and we're committed to creating an environment where everyone can contribute their best work and thrive.

Location: New Jersey; New York; Connecticut Workplace: remote About the role: At Provectus, you don’t prototype in a sandbox and hand a client a slide deck. You embed inside a bank, an insurer, or a health system, learn the work, and ship a Claude + AWS system into their real, regulated production — then you watch the business number move. We’re an Anthropic and AWS Partner with 150+ certified architects. That means the newest models, real budgets, and problems that matter — without the layers, politics, and years-to-impact of a hundred-thousand-person firm. 350+ builders, 100+ customers in production, founder-led since 2010, offices across North America, LATAM, and EMEA. Why Provectus Frontier access — Anthropic Preferred Partner: newest Claude models, real budgets, real problems. Real tasks (not scope), real deployment. You go where the operating problem is and ship production code to real users, not slide decks that sit in a drive. Embedded, not engaged. You are part of the customer’s team and inside their process — not a vendor running a project alongside it. Embedded is not staff-augmented. Autonomous. You own the work from framing through to production, visible to clients and founders.  You own the method; nobody hands you a ticket. Your experience stays portable. Every engagement is a new problem, often in a new industry, so your skills compound instead of narrowing to one product. No legacy-maintenance grind, not a single stack. Craft & growth — build beside senior FDEs on a Claude-certified team; a real platform (talks, OSS) to grow your name. We give you a stage: Claude certification, conference talks, open-source contributions, published work under your own name. What we look for: Typically 7+ years building software, a substantial share of it writing production code you were accountable for. You are hands-on today and intend to stay that way. Genuinely willing to spend time understanding someone else’s job before writing code; demonstrated ability to become conversant in an unfamiliar business function quickly. Shipped GenAI/LLM systems to production — not demos, not notebooks. You’ve handled the parts that get hard after the prototype works. You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured and why. Strong engineering fundamentals — dropped into an unfamiliar codebase or language, you’re productive. Python and/or TypeScript proficiency; depth matters more than stack. Cloud-native delivery on AWS (GCP/Azure a plus), including the operational reality of a system someone else inherits. Pre-sales experience. Credible with senior stakeholders — you can hold a redesign conversation with a BU head and a scoping conversation with a CTO without losing either room. Comfort with ambiguity and ownership. Engagements start underspecified by design. Closing that gap is the job. Hands-on experience with Claude, Claude Code, and Cowork (skills, workflows, MCP, integrations, connectors, custom harnesses). Nice to have Containers and orchestration (Kubernetes/ECS) and CI/CD in production. IaC depth: AWS CDK, CloudFormation, Terraform. Open-source contributions or public writing on applied AI. What you’ll do: Spend the first weeks of each engagement in the operator’s seat, learning the constraints from the inside, then rebuild the function from first principles alongside the client and a Forward Deployed Executive — and you are the one who builds it. Be part of the customer’s team, inside their process; work on real tasks, not scoped deliverables, and own the method autonomously. You won’t start from zero. Provectus builds industry Blueprints — working systems that have already shipped for a customer in your industry. Your engagement starts from that baseline, and what you learn in the field goes back into it. Deliver across Cowork Activation, Agentic SDLC, and Blueprint Activations in Financial Services and Healthcare. Help shape how leading enterprises adopt AI, from strategy through first deployment; help build the tooling and frameworks of a growing AI delivery practice. What We Offer: Full-time. On-site visits to client’s facilities and our office in NYC 1/week Unlimited Vacation policy. Generous health, vision, and dental insurance. 401(K) matching plan. Base salary $200-250k + bonuses; OTE up to $300k. The salary range is determined through interviews and a review of the education, experience, knowledge, skills, and abilities of the applicant, and alignment with market data. We’re real: A person reads your application. We filter out AI-generated and fraudulent submissions automatically. Every application that clears that filter is read by someone on our team. We may ask for a quick ID verification. Fraudulent applications are common, and this protects real candidates. You’ll meet the people you’d work with. We host AI engineering events in New York and San Francisco. We'd be happy to talk in person. Your interviews are with Pavel Borobov, Solutions Architect, and Stepan Pushkarev, Co-Founder & CEO. How we hire: Recruitment interview. Tech interview with our FDE (30 min). A live engineering building session (1.5 hours). We hand you a business function and the constraints. You have to understand the job and rebuild it — then say what you’d build and how you’d know it worked. Use AI the way you normally would; we expect AI-generated code. What we look at is how you used AI, the judgment behind your choices, and what you researched beyond what any LLM already knows. 4. Soft skills interview. 5. Offer discussion.

-Приём и обработка телефонных обращений от абонентов по технической поддержке услуг ШПД/IPTV/ VoIP, переданных 1 линией технической поддержки.

Ваша задача — внедрять новые технологии, разрабатывать и тестировать интеграционные решения, а также создавать витрины данных и развивать слой данных для BI-систем.

Location: Москва, удалённая работа, RU; Россия О команде Наша команда развивает LLM Gateway — единую точку доступа в Авито к языковым моделям. Мы помогаем продуктовым командам быстро и безопасно получать доступ к подходящим моделям, прозрачно управлять лимитами, видеть стоимость каждого запроса и мониторить поведение моделей в продакшене. Какие задачи вас ждут: развивать платформу LLM Gateway для всего Авито, чтобы создавать продукты с LLM было быстро и удобно; автоматизировать выдачу и настройку доступов к моделям; развивать управление потреблением LLM: рассчитывать стоимость LLM-вызова; настраивать бюджетные лимиты для клиентов и приоритеты; развивать динамическую балансировку трафика между LLM-моделями; определять SLA платформы и методику его расчёта: настраивать мониторинг и алёрты; поддерживать выполнение SLA; интегрироваться с платформой инференса: автоматизировать развёртывание моделей; открывать доступ к моделям для пользователей в инфраструктуре Авито; взаимодействовать с DS-инженерами, погружаться в работу LLM, следить за развитием индустрии и внедрять новые технологии. Мы ждём, что вы: лидировали крупные стримы с высокой степенью неопределённости: собирали требования; планировали работу; декомпозировали задачи; отвечали за реализацию и мониторинг результатов; поддерживали критическую высоконагруженную инфраструктуру: настраивали мониторинг и алёрты; участвовали в дежурствах 24/7; программируете на Python или Go от 5 лет; имеете опыт в MLOps или LLMOps: поднимали и поддерживали инфраструктуру для автоматизации работы с ML- и LLM-моделями; понимаете базовые принципы работы LLM: чем prefill отличается от decode, зачем нужен KV-cache, что такое TTFT. Будет здорово, если вы: работали с LLM API и LLM Gateway или аналогичными решениями, например LiteLLM; создавали внутренние платформенные решения; работали с системами мониторинга LLM, например Langfuse или Opik; создавали и поддерживали административные интерфейсы для внутренних пользователей; работали с Kubernetes и GPU; работали с DWH, например ClickHouse или Trino. Работа у нас — это: расширенная забота о здоровье: ДМС, страхование жизни, онкострахование; сервис психологической поддержки, а также финансовые, юридические и ЗОЖ-консультации для вас и ваших близких; корпоративный спорт: групповые тренировки, велбиинг-приложение; спецпредложения от партнёров и скидки на сервисы Авито: бронирование жилья, услуги продвижения, ипотечное страхование; компенсация питания.

Location: Калуга Workplace: Офис Мы ищем специалиста для установки, настройки и обслуживания IT-оборудования: серверов, сетевых устройств и комплектующих. Откликайтесь, если имеете опыт работы с компьютерами, сетевым оборудованием или ремонта мобильных устройств, знаете устройство ПК, принципы работы и характеристики комплектующих. Ищем специалиста для установки, настройки и обслуживания IT-оборудования: серверов, сетевых устройств и комплектующих. Обязанности Монтаж и ввод оборудования в эксплуатацию Вам нужно будет проверять комплектацию, устанавливать и запускать новое серверное и сетевое оборудование. Техобслуживание и устранение неисправностей Вы будете проводить регулярное техническое обслуживание серверов и сетевых устройств, диагностировать неисправности, а также устранять технические проблемы. Взаимодействие со смежными командами Вам предстоит выполнять задачи системных администраторов и сетевых инженеров, а также координировать работу с профильными специалистами. Требования * Работали с компьютерами, сетевым оборудованием или ремонтировали мобильные устройства * Знаете устройство ПК, принципы работы и характеристики комплектующих * Готовы учиться самостоятельно и развиваться профессионально * Внимательны, аккуратны и умеете общаться с коллегами Будет плюсом * Получили профильное образование * Имеете опыт сборки, тестирования, ремонта и настройки ПК * Знаете TCP/IP, Linux или Unix * Обладаете навыками написания скриптов

– Уверенно владеешь Python и понимаешь связанные с ним фреймворки: tf, pytorch, numpy, librosa, opencv.

Location: Lappeenranta, Finland About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. Employer: Nebius DC Oy, Business ID 2541661-9 Job title: Data Center L1 IT Technician Primary work location: Lappeenranta data centre Temporary work location: Mäntsälä data centre for training and onboarding until the Lappeenranta site is operational Department: Data Center IT Infrastructure Number of positions available: 4 Ideal start date: February – April 2027 The role As an Data Center L1 IT Technician , you will play a vital role in maintaining and optimizing the IT infrastructure within our data center. This includes working hands-on with modern technologies such as the modern GPU cloud clusters. Your responsibilities will encompass supporting the data center’s IT infrastructure, troubleshooting and resolving hardware issues, and ensuring the smooth operation of critical systems. Your responsibilities will include troubleshooting and resolving hardware issues, performing hardware and network diagnostics, ensuring the smooth operation of critical systems, and carrying out physical repairs. The role may also involve travel between data centers and participation in on-call rotations. You’re welcome to work at our data center. Please note that during the construction of the Lappeenranta Data Center, onboarding & training for this role will take place at our Mäntsälä site. Please note that this is a shift work (day & night shift). Your responsibilities will include: Monitor and support the IT infrastructure as a shift worker (day & night shifts). Diagnose and resolve issues related to server and network hardware within the data center. Perform installation, upgrades, and decommissioning of IT hardware in accordance with operational requirements. Manage and maintain fiber optic and patch cable connectivity. Handle Return Merchandise Authorizations (RMAs) in compliance with company procedures and documentation. Collaborate with internal teams to resolve technical and operational issues. Maintain and update documentation, manuals, and procedures related to hardware configuration, troubleshooting, and maintenance. Requirements: Solid understanding of server and networking equipment. Practical, hands-on experience with server hardware, network switches, and fiber optic cabling. Proven ability to diagnose and resolve hardware-related issues. A proactive, responsible, and results-driven work attitude. It will be an added bonus if you have: Valid Category B driving license. Basic knowledge of the Linux operating system and familiarity with command-line tools. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.