Вакансии

The Quantum Research Scientist will advance quantum information science and optical quantum systems, leveraging expertise in continuous-variable photonics and theoretical algorithm discovery to translate complex physical phenomena into experimental prototypes and publishable research. Responsibilities include but are not limited to:

-6+ years of QA Automation / SDET experience, with strong Python and Linux skills.

Your role is to contribute to an improved calibration logic development, scalable calibration graph development, and calibration development for future chip architectures.

Задачи: — Помогать в разработке оптических коммуникационных связей между электроникой при комнатной температуре и криогенным квантовым оборудованием, исследовать, как фотоника может поддержать масштабирование сверхпроводящих квантовых компьютеров. — Основное внимание уделять созданию и эксплуатации экспериментальной платформы в разбавительном холодильнике. — Характеризовать устройства, исследовать шум и оценивать влияние оптических соединений на управление кубитами, считывание и точность операций. — Тесно сотрудничать с руководителем команды и исследовательскими партнерами, вносить вклад в технические решения по будущему стеку управления. — Строить и развивать экспериментальную платформу для сверхпроводящих квантовых вычислений с оптическими коммуникационными связями. — Проектировать и проводить эксперименты в разбавительном холодильнике, включая оптические сигнальные пути, замену и монтаж образцов, оптимизацию радиочастотной и микроволновой среды с учетом теплопроводности и бюджета диссипации, а также автоматизацию измерений. — Характеризовать оптические и криогенные электронные компоненты, включая криогенные фотодиоды, лазеры и модуляторы. — Разрабатывать эксперименты для демонстрации и характеристики одно- и двухкубитных вентилей и считывания кубитов с использованием оптических соединений. — Моделировать и анализировать точность вентилей, шум, дрейф и диссипацию для выявления ограничений и поиска способов улучшения производительности. — Оценивать технологические варианты и требования к масштабируемости для стека управления квантовым компьютером и сигнального пути. — Документировать результаты и сообщать о находках коллегам, техническим руководителям и внешним исследовательским партнерам. — Отвечать за технический вклад в грантовые проекты, включая отчетность, предложения и координацию с партнерскими компаниями и институтами. Требования: — Докторская степень (PhD) в области прикладной физики, электротехники или смежной области. — Не менее пяти лет соответствующего академического или промышленного опыта в электронике, фотонике или квантовых вычислениях. — Практический опыт проведения квантовых или активных электронных экспериментов в разбавительном холодильнике. — Способность самостоятельно настраивать, устранять неполадки, проводить и документировать эксперименты, включая работу с разбавительным холодильником и установку образцов. — Опыт работы с радиочастотным и микроволновым измерительным оборудованием, таким как анализаторы цепей и генераторы импульсов. — Навыки программирования на Python для научного программирования, автоматизации измерений и анализа данных. — Понимание аналоговой и цифровой электроники, включая шум, дрейф, отношение сигнал/шум и пропускную способность. — Свободное владение английским языком в письменной и устной форме, способность объяснять технические результаты и координировать работу с внутренними и внешними заинтересованными сторонами. Преимущества: — Опыт работы с сверхпроводящими кубитами, квантовой электродинамикой цепей, управлением или считыванием кубитов. — Опыт работы с фотоникой, оптическими соединениями или микроволновой фотоникой. — Опыт характеристики криогенных фотодиодов, крио-CMOS устройств или других криогенных электронных компонентов. — Знакомство с EXA или аналогичными инструментами для экспериментов с квантовыми процессорными устройствами. — Опыт участия в исследовательских грантах, совместных проектах или технических предложениях.

- Own strategy and execution across Growth priority verticals (Privacy, Bitcoin, Quantum, RWA). - Identify, negotiate and manage partnerships end-to-end to strengthen Starknet’s infrastructure stack.

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 Life Sciences team is building a research group focused on biological discoveries by combining AI with hands-on biological research. We're seeking a research scientist who combines deep chemistry knowledge with machine learning expertise to join the team. Our goal is to speed up progress in the life sciences by an order of magnitude, and this role puts that mission into practice. You'll be a computational chemist who knows reactions, synthesis, and medicinal chemistry in depth and has hands-on experience training and evaluating machine learning models. Above all, you'll build the reinforcement learning environments, datasets, and evaluations that teach Claude chemistry. Working alongside our bench chemists and AI researchers, you'll turn real chemistry problems and experimental data into training tasks and measure whether the models get better at them. This role is fully on-site in the San Francisco Bay Area. Key responsibilities Design and build reinforcement learning environments for chemistry end to end, including task design, data curation, automated grading, and checks against shortcuts and data leakage Design and source new experimental datasets, environments, and evaluations with our bench chemists, and external research and academic partners Develop evaluations that measure model performance on real chemistry tasks, such as reaction outcome prediction, synthesis planning, structure elucidation, and compound design, and feed results back to research teams Run and analyze training experiments with AI research teams, diagnose where models fail at chemistry, and prioritize what to build next Ensure datasets and environments are high quality and well documented, including sources, train and test splits, and failure modes Communicate findings clearly to chemistry, AI research, and life sciences audiences Minimum qualifications PhD in chemistry, computational chemistry, or a related field Deep knowledge of organic and medicinal chemistry, including reactions, synthesis, and SAR, with experimental data as your ground truth Strong Python skills and solid machine learning fundamentals, with hands-on experience training and evaluating models Comfort navigating ambiguity and defining problems in a rapidly evolving research environment Ability to work independently while collaborating effectively across cross-functional teams, with strong written and verbal communication skills Preferred qualifications Experience with reinforcement learning, large language models, or building evaluations and benchmarks Track record of supporting drug discovery programs alongside medicinal and synthetic chemists Experience curating chemistry datasets from the literature, patents, or lab notebooks, including reaction, ADMET, and spectroscopic data Cheminformatics and molecular modeling skills, for example RDKit, docking, free energy calculations, or quantum chemistry Hands-on synthetic or medicinal chemistry experience at the bench Publications, patents, or open-source software demonstrating scientific impact 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: $300,000 — $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Задачи: — Создание, редактирование и оптимизация карточек товаров. — Работа с ценами, скидками, акциями и промо.

- 5+ years of applied data science experience. - Experience with models in production.

Tasks & Responsibilities: Develop and execute your strategic and tactical business plan to drive revenue in strategic named accounts assigned to you.

Location: Remote (United States | Canada) Workplace: Remote 1Password is growing. We’ve surpassed $500M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing. About 1Password At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Unified Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work. If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future. Security isn't a feature at 1Password. It is the product. We're looking for a Principal Product Manager to shape security strategy across the company, working with Security Engineering, who hold one of the highest technical bars in the industry, and with the product teams building everything our customers touch. You'll be the bridge. You'll understand cryptographic and architectural detail well enough to earn the trust of our security engineers, and you'll translate what matters into clear priorities for feature teams. Just as importantly, you'll bring a deep respect for the customer: a security control nobody can stand to use makes everyone less safe. You'll help us find the design that's both rigorous and usable, and have the credibility to say so in a room full of experts WHAT YOU'LL DO - Partner with product teams on security early. Work with PMs and feature teams to understand their upcoming roadmaps, identify security requirements and threat-model implications before designs are locked, and make sure those needs are visible, prioritized, and resourced. - Align Security Engineering with product strategy. Translate feature-team needs into prioritized security work, and make Security Engineering's priorities legible to the rest of the company so tradeoffs are made in the open. - Own an independent security roadmap. Set direction for platform-level security investments, such as key management and recovery, the cryptographic foundations of our zero-knowledge architecture, authentication, and our long-term readiness for post-quantum cryptography. - Lead our strategy for the AI era. Define how 1Password approaches agentic access to credentials, secrets for non-human identities and AI agents, and the trust models emerging around tools and protocols like MCP. - Balance risk and usability with evidence. Help security engineers weigh real-world risk against user friction, using adoption, support, and telemetry data alongside threat models. Shipping with accepted, documented residual risk is sometimes the right call, and you'll help us make and defend those decisions. - Represent 1Password to the security community. Engage with security researchers and our bug bounty program, speak at conferences, and contribute to the wider conversation about where credential security is heading. - Raise the bar for product work. Coach PMs on security thinking, challenge assumptions constructively, and set the standard for how security-critical product work gets done. OUR PHILOSOPHY ON PRODUCT CONSISTS OF FIVE CORE PILLARS: - Focus and execution: Can you ship quickly and measure results? - Customer empathy: Are you motivated first and foremost to solve customer problems? - Effective communication: Can you bring the entire organization, horizontally and vertically, along on the journey? - Go to market: Can you understand and drive business outcomes through product decisions? - Technology: Articulating how our technology beats our competitors Product Managers play a highly visible role at 1Password and are critical to the development and execution of our product strategy. As PMs, we are responsible for setting and championing a high bar for our products. At the Principal level, you also set the standard for how product work gets done. You coach, you challenge assumptions, and you make the whole team better. You must excel at prioritization, collaboration, and communication, while holding yourself and others accountable for measuring quality and business results. You will work with Engineering, Design, Security Research, and GTM teams to ensure every decision we make as a product is grounded in our commitment to verifiable security. WHAT WE'RE LOOKING FOR - 10+ years of product management experience, including significant time on security-critical products or platforms in a SaaS environment. We'll also strongly consider exceptional candidates with equivalent depth, such as security engineers or researchers who moved into product. - Deep, demonstrable knowledge of security fundamentals: cryptography, authentication protocols, identity and access management, zero-knowledge and end-to-end encrypted system design, and threat modeling. - Fluency in the credential and identity landscape, including passkeys, WebAuthn/FIDO, and the standards shaping how people sign in. - A track record of earning credibility with security engineering teams, not just working alongside them. - The ability to read and reason through technical specifications, security audits, and cryptographic design documents. - Experience making and defending risk-based tradeoffs, and explaining them clearly to engineers, executives, and customers. - A history of shipping security features that users actually adopt, and of using friction and adoption data to improve them. - Experience setting strategy at the platform or infrastructure level, and influencing roadmaps you don't own without formal authority. - Communication that scales from a security research paper to an executive briefing without losing precision in either direction. - A strong point of view on how the security landscape is shifting, and the ability to connect it to concrete roadmap decisions. STRONG PLUS - Standing in the security community, through conference talks, publications, research, open-source work, or standards participation. - Hands-on experience with AI security: agent identity and authorization, prompt injection, secrets management for automated systems. - Experience with compliance and certification regimes such as SOC 2, FedRAMP, or FIPS. - Prior work in vulnerability disclosure, incident response, or threat intelligence that gives you a practitioner's intuition. - Experience running or working closely with a bug bounty program or researcher community. WHAT YOU CAN EXPECT - Working with a passionate, highly motivated Product and Security team that holds an exceptional bar and genuinely cares about getting it right - A direct line to decisions that shape the security architecture millions of people depend on every day - Empowerment to set long-term security product strategy and drive it through execution - A culture where technical depth is respected, tradeoffs are named honestly, and shipping the right thing matters more than shipping fast - A collaborative environment where the best argument wins, regardless of title USA-based roles only: The annual base salary for this role is between $238,000 USD and $357,000 USD; 15% annual bonus, plus immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. Canada-based roles only: The annual base salary for this role is between $208,000 CAD and $312,000 CAD; 15% annual bonus, plus immediate participation in 1Password’s generous benefits program (health, dental, RRSP and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set. This posting is for an existing vacancy. Our culture At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first. You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, 1Password is not for everyone https://blog.1password.com/inside-the-culture-powering-1passwords-next-chapter/. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results. How we work with AI We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password. This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. To us, this means we do ask that you join live interviews without using AI tools so we can get to know how you communicate, solve problems, and collaborate with others. Our approach to remote work We believe in the power of remote work, but recognize that in-person connection is important to help us achieve our mission. While we are a remote-first company, travel for in-person engagement is a part of almost all roles, and we require our employees to be ready and willing to take part. Frequency will depend on role and responsibilities, and may include, but is not limited to: annual department-wide offsites, team meetings, and customer/industry events. What we offer We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer: Health and wellbeing 👶 Maternity and parental leave top-up programs 🩺 Competitive health benefits 🏝 Generous PTO policy Growth and future 📈 RSU program for most employees 💸 Retirement matching program 🔑 Free 1Password account Community 🤝 Paid volunteer days 🏆 Peer-to-peer recognition through Bonusly 🌎 Remote-first work environment *Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting. You belong here. 1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs. Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you. Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law. 1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See here https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing this form https://jobs.ashbyhq.com/1password/automation-notice. For additional information see our Candidate Privacy Notice https://1password.com/files/candidate-privacy-notice.pdf.

Location: Toronto, Canada Why Join Exadel We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks. From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next. What powers it all? Our people are ambitious, collaborative, and constantly evolving. About the Client A leading North American financial services provider operating across personal, commercial, wealth management, and capital markets sectors. Following recent strategic acquisitions, the top-tier bank has significantly expanded its international footprint. Now executing an "AI-first" strategy, the organization has launched a dedicated institute for applied AI and quantum computing to drive productivity and deliver hyper-personalized digital experiences for millions of global customers. What You’ll Do Serve as a subject matter expert in Metals trading, including precious and base metals. Focus on physically settled metals transactions and related front-office workflows. Gather, analyze, and document business requirements from traders and key stakeholders. Clearly articulate scope, assumptions, and dependencies for requirements. Analyze and understand the impact of upstream and downstream systems on business processes. Collaborate with technology teams to identify and drive system enhancements supporting Metals trading activities. Work closely with developers to ensure requirements are clearly understood and implemented correctly. Support solution deployment and ensure successful adoption by business users. Conduct data analysis to provide insights that support trading strategies and risk management. Apply strong analytical and problem-solving skills to optimize processes and outcomes. Partner closely with traders and stakeholders to ensure seamless operations and regulatory compliance. Manage change requests and support structured change management processes. Participate in testing activities, including test planning and execution. Collaborate closely with business users during UAT to ensure solutions are thoroughly tested and meet business requirements. Support quality assurance efforts to ensure high-quality, production-ready deliverables. What You Bring Proven experience in Metals trading, ideally with a focus on physically settled metals. Strong understanding of banking and capital markets products and services related to commodities. Demonstrated ability to gather, document, and manage business requirements. Experience in change management and managing change requests. Strong analytical and problem-solving skills. Excellent written and verbal communication skills. Ability to collaborate effectively with developers, traders, and stakeholders. Experience with Openlink Endur is a strong asset. Experience in testing and quality assurance is a plus. Detail-oriented mindset with a focus on high-quality deliverables. Self-starter who thrives in a collaborative, team-based environment. Nice to have Experience working in front-office trading environments. Exposure to complex trading system integrations and data flows. Prior experience supporting UAT in capital markets platforms. English level Upper-Intermediate Location: Toronto (hybrid) Legal & Hiring Information Compensation Transparency: The expected compensation range for this role is $80-110/hr CAD, with eligibility for commission, bonus, or other incentive compensation where applicable. Actual compensation will be determined based on experience, skills, qualifications, geographic location within Canada, and business needs. Position Status: This posting is for a newly created position Location Eligibility: This role is open to candidates residing in Canadian provinces, excluding Quebec. Experience Requirements: We welcome applicants with relevant experience regardless of where it was obtained. Canadian work experience is not required. Use of Artificial Intelligence in Hiring: We may use automated tools or artificial intelligence systems to support the screening, assessment, or selection of applicants as part of our hiring process. Benefits Summary: Canadian employees are eligible to participate in Exadel’s benefits programs, which may include extended health, dental and vision coverage; life and disability insurance; retirement savings programs; paid time off; paid holidays; and other wellness or voluntary benefit programs, subject to plan terms and eligibility requirements. Equal Employment Opportunity: Exadel is an equal opportunity employer and does not discriminate on the basis of race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, age, disability, family status, or any other protected characteristic under applicable provincial human rights legislation. Accessibility and Accommodation: We are committed to providing accommodations throughout the recruitment process in accordance with applicable accessibility and human rights legislation. If you require accommodation at any stage of the hiring process, please contact us. The offer is not binding until a signed contract is in place Our AI-Enabled Screening Process As an AI-first company, Exadel uses an AI recruiter to conduct a brief initial screening for this highly specialized position. This conversation helps us understand each applicant’s relevant experience and alignment with the role’s core requirements. The AI recruiter supports the process but does not make the final hiring decision. Candidates who successfully complete the initial screening will be connected directly with a member of our Talent team for the next step. If you require an accommodation or an alternative screening format, please let us know. Exadel Culture We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.

Задачи: — строить единую систему управленческих данных и KPI; — создавать и развивать BI-дашборды; — анализировать план/факт, динамику и прогноз; — находить причины отклонений и переводить их в денежный эффект; — формировать регулярную аналитику для собственника и руководителей; — автоматизировать ручную отчетность. В зоне ответственности первого направления бизнеса: — выручка и драйверы ее изменения; — P&L и экономика подразделений; — загрузка ресурсов; — средний чек, повторные продажи и retention; — когортный анализ и LTV; — экономика продуктов/услуг и оборудования; — маркетинговая воронка, CAC, ROMI и payback; — закупки, расходники и списания; — ФОТ и производительность; — unit-экономика и сценарное моделирование. В зоне ответственности второго направления бизнеса: — анализировать экономику отдельных точек/подразделений; — работать с выручкой, маржой и операционной прибылью; — анализировать закупки, остатки, продажи и потери; — прогнозировать спрос; — оценивать эффективность распределения ресурсов; — анализировать ассортимент/продуктовый портфель; — работать с pricing и промо; — анализировать CRM, retention и LTV; — оценивать производительность команд; — участвовать в моделировании развития и открытия новых точек. Раннее выявление проблем: — видеть проблему до закрытия месяца, включая падение загрузки, рост отмен и no-show, ухудшение CAC, рост потерь, избыточные остатки, падение маржи, отклонение от плана, аномалии подразделений. Требования: — опыт в бизнес-/финансовой аналитике от 3–5 лет; — уверенный SQL; — опыт работы с BI-системами; — продвинутый Excel / Google Sheets; — сильное понимание P&L, unit-экономики, contribution margin, ROI / Payback, working capital; — опыт когортного анализа и работы с CRM-данными; — опыт маркетинговой аналитики; — понимание pricing и forecasting; — умение самостоятельно проверять качество первичных данных; — способность объяснять сложные вещи простым языком; — ориентация на бизнес-результат, а не только на качество отчета. Будет плюсом: — Python / R; — опыт построения прогнозных моделей; — опыт unit-экономики новых точек/подразделений; — опыт investor analytics / подготовки data room. Каким должен быть человек: — умеет проверять гипотезы цифрами; — понимает бизнес и умеет говорить с собственником на языке денег; — способен самостоятельно поставить задачу себе и довести ее до результата; — умеет работать одновременно с финансами, IT и операционными командами; — стремится автоматизировать рутину и освобождать время для анализа.

Quantum One is a technology consulting and engineering company that develops and rapidly implements AI solutions for large businesses and industry. Project duration: 3 months. Remote work.

Quantum One is a technology consulting and engineering company that develops and rapidly implements AI solutions for large businesses and industry. Project duration: 3 months. Remote work.

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 Life Sciences team is building a research group focused on biological discoveries by combining AI with hands-on biological research. We're seeking research scientists with deep expertise in experimental chemistry to join the team. We welcome chemists from across the field, including medicinal, synthetic organic, physical organic, organometallic, inorganic, analytical, physical, and materials chemistry, as well as formulation science. Our goal is to speed up progress in the life sciences by an order of magnitude, and this role puts that mission into practice. You'll be an expert in your area of chemistry with hands-on experience designing, and running experiments, from synthesizing, purifying, and characterizing compounds to studying reaction mechanisms and kinetics. Above all, you'll close the loop between AI-generated hypotheses and experimental data to share with the community. Working alongside AI researchers and engineers, you'll drive experimental programs end to end and pressure-test AI-designed molecules, AI-proposed synthetic routes, and AI-predicted mechanisms and properties against real chemistry. This role is fully on-site in the San Francisco Bay Area. Key responsibilities Depending on your area of chemistry, you will: Design multi-step synthetic routes for small molecules and oversee their execution end to end, including route selection, reaction optimization, purification strategy, and interpretation of full characterization data (NMR, LC-MS, HPLC) Design and run mechanistic, kinetic, and spectroscopic studies to explain and predict reactivity, selectivity, and molecular properties Prepare and characterize inorganic and organometallic compounds, materials, and formulations, and relate their composition and structure to their properties Coordinate synthesis and biological evaluation with external contract research organizations and academic partners Evaluate AI-designed molecules, AI-proposed synthetic routes, and AI-predicted mechanisms and properties, drive them to experimental readout, and feed results back to research teams Generate experimental and computational data, for example from quantum mechanical calculations, that research teams use to train and evaluate AI models Apply medicinal chemistry principles, including SAR analysis and physicochemical property optimization, to compound design and prioritization Ensure experimental data across programs is high quality and well documented, including procedures, spectra, and failure modes Communicate findings clearly to chemistry, AI research, and life sciences audiences Minimum qualifications PhD in chemistry Demonstrated depth in your area of experimental chemistry (for medicinal chemists, SAR-driven design and optimization of small molecules,), with recent, sustained hands-on laboratory work Comfort navigating ambiguity and defining problems in a rapidly evolving research environment Ability to work independently while collaborating effectively across cross-functional teams, with strong written and verbal communication skills Preferred qualifications 5+ years of experience in your area of chemistry beyond the PhD For medicinal chemists, a track record of advancing programs from hit identification through lead optimization Experience directing chemistry activities at contract research organizations Computational chemistry, cheminformatics, or coding skills, for example quantum mechanical calculations (DFT) or Python with RDKit or pandas for data analysis and automation Experience using AI or ML tools in chemistry or the life sciences Publications and/or patents demonstrating scientific impact 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: $300,000 — $320,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Задачи: — Проектировать, разворачивать и обслуживать распределённую сеть передачи данных; — Настраивать серверы и сетевое оборудование на уровне L2/L3; — Оптимизировать сетевой стек Linux; — Строить систему мониторинга и наблюдаемости сети; — Автоматизировать провижининг и конфигурационный менеджмент; — Участвовать в проектировании архитектуры ключевых сервисов. Требования: — Глубокий опыт работы с BGP (iBGP / eBGP / MP-BGP); — Практика настройки в FRRouting, GoBGP, Bird; — Опыт реализации EVPN/VXLAN и WireGuard-топологий в продакшене; — Уверенность в диагностике проблем от сервера до магистрального провайдера; — Настройка и тюнинг сети в Linux (производительность, low latency); — Понимание сегментации, iptables/nftables/ferm; — Автоматизация через Ansible. Будет отличным бонусом: — Опыт с Docker, Nomad, Kubernetes; — Мониторинг: Zabbix, VictoriaMetrics, Grafana, Alertmanager, LibreNMS; — Работа с публичными облачными провайдерами (AWS/OVH/Hetzner/GCP/Alibaba) или с приватной инфраструктурой; — Знание OSPF, PIM; — Remote VPN (OpenVPN, SSL-VPN); — Опыт с Cisco Nexus. Условия: — Релокация в Испанию (Бильбао) для вас и семьи — полная поддержка с документами, адаптацией, жильём и учетом питомцев; — Гибкий график без контроля присутствия; — Отпуск, когда необходимо, а не по расписанию; — Среда, где ценят инженеров и дают принимать решения.

Задачи: — Администрирование и оптимизация PostgreSQL, ClickHouse, включая управление производительностью, мониторинг, поддержку и оптимизацию механизмов бэкапирования, обеспечение стабильной работы под высокой нагрузкой, настройку мониторингов и алертинга. — Управление оборудованием и инфраструктурой. — Взаимодействие с продуктовой и инженерной командами по вопросам проектирования и оптимизации структур данных, выявления инцидентов и их оперативного устранения. — Автоматизация развертываний, резервного копирования, переноса данных и других рутинных операций. Требования: — Глубокие знания PostgreSQL и ClickHouse, включая опыт работы с высоконагруженными базами данных, установку, настройку, администрирование и миграцию серверов БД. — Опыт работы с pgbouncer, HAProxy. — Оптимизацию производительности и конфигурации для высоконагруженных сред. — Настройку аутентификации и авторизации. — Понимание различных подходов, архитектур и решений для построения отказоустойчивых и высокопроизводительных кластеров ClickHouse. — Опыт интеграции ClickHouse по обмену данными с Kafka. — Опыт конфигурации настройки кластеров Kafka. — Опыт резервного копирования и восстановления данных. — Проектирование и настройка мониторинга баз данных и инфраструктуры с использованием Grafana, Prometheus, OpenSearch. — Опыт работы с системами управления конфигурациями, например Ansible. — Написание скриптов (Bash, Python или других языков) для автоматизации рутинных задач. — Опыт работы с системами контроля версий (например, Git), понимание процессов CI/CD. Будет плюсом: — Опыт развертывания, настройки и администрирования систем логирования (например, Elasticsearch/OpenSearch). — Опыт руководства командой из 2–3 инженеров. Условия: — Гибкий график. — Релокация в Бильбао для вас и семьи (оформление документов, помощь с переездом, адаптацией и питомцами). — Отпуск без жёстких ограничений. — Атмосфера доверия и уважения к профессионалам. — Комфортный офис в уютном районе и регулярные активности для команды. — Среда для роста: участие в архитектурных решениях, сложные задачи и сильные коллеги.

Location: Barcelona, Spain Workplace: on-site At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking Integrated Photonic Circuit (PIC) Engineer to join one of our clients ' teams. pioneering the Quantum Communications industry, delivering photonics solutions that leverage the properties of quantum physics to secure communications If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you Key Responsibilities Engage in R&D focused on photonic integration for quantum key distribution. Participate in leading European projects within the field. Collaborate with software, hardware, and production teams to develop cutting-edge products. Contribute to technical decisions that shape our product roadmap. Conduct hands-on characterization of PICs and supervise these processes. Play a key role in defining and executing activities related to PIC packaging, system manufacturing, testing, and product development. Experience in photonic integrated circuits, with work in areas such as design, characterization, fabrication processes, or packaging, and a broad understanding of the different platforms and the steps involved in developing PIC-based products. Industrial experience in the development of PIC-based products is desirable. High proficiency in English (minimum fluent B2/C1 level). Highly proactive, with strong analytical and communication skills. Engineering degree in Telecommunications, Microelectronics/RF, Optics/Photonics, Physics, or a related field