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Location: Remote; Seattle, WA; New York, NY; San Francisco, CA 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 remote across the US — we also have offices in New York, San Francisco, and Seattle. We are looking for a Prototype Researcher to join Runway Labs — our research and exploration team pushing the frontier of AI video and General World Models. You’ll imagine, design, and build experimental experiences that make emerging AI capabilities tangible and communicate a compelling vision for where the technology is heading. This role combines creative thinking, hands-on prototyping, and storytelling. You should be able to develop an original idea, build a working prototype, and shape it into a clear, memorable demonstration. Your work will help people understand new AI systems through experiences they can see, use, and engage with. Working closely with researchers, engineers, and designers, you’ll explore new interfaces and interaction paradigms for AI-generated video, world models, and agentic systems. The focus is on research explorations that express our vision, reveal new possibilities, and strengthen Runway’s position as a full-stack research organization. We’re looking for a motivated self-starter with strong creative judgment, technical fluency, and a portfolio that shows both what you can build and how well you can communicate an idea. WHAT YOU’LL DO - Develop original concepts that explore the possibilities of emerging AI systems, from interactive video and world models to agentic experiences. - Design and build working prototypes that turn research capabilities into engaging, understandable experiences. - Shape each project’s story: what it explores, why it matters, and what it suggests about the future. - Package explorations into polished demos, films, and interactive experiences that communicate our research and vision. - Collaborate with researchers and engineers to understand new capabilities and identify compelling ways to demonstrate them. - Move quickly through experimentation, using prototypes to test ideas and refine both the experience and its narrative. WHAT YOU’LL NEED - A portfolio of original projects that demonstrates creative thinking, design craft, technical execution, and strong storytelling. - The ability to take an idea from an early concept to a working prototype and a compelling presentation. - Hands-on experience building interactive experiences with code, with the judgment to choose the right tools for each experiment. - Strong visual and interaction design skills, with an eye for detail and an instinct for making complex ideas accessible. - Genuine curiosity about AI video, world models, agentic systems, and emerging generative media. - Comfort working in ambiguous research environments, defining your own direction, and learning new tools as the work evolves. - The ability to explain the purpose and potential of your work clearly, through writing, visuals, demos, or film. 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: United States- East Peoria, Illinois 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 $28.82 — $36.85 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.

Задачи: — Управление графиком и бюджетом строительного проекта внутренней отделки офиса класса «А». — Проверка смет. — Ведение технического надзора. Компания CORE.XP — консалтинговая компания в коммерческой недвижимости, преемник российского бизнеса CBRE, занимается консалтингом, сделками, строительством и управлением объектами.

Условия и бонусы: Фултайм, офис (МСК, Чистые пруды). Наши ожидания: – Аналогичный опыт от 3 лет. – Опыт работы с STP и настройкой пользовательских коммутаторов агрегации для предотвращения петель в сетях передачи данных. – Понимание сетевых ACL.

Задачи: — сопровождать системы хранения данных, вводить в эксплуатацию новые, сопровождать комплектацию дисковыми полками, контроллерами, устанавливать актуальные версии ПО, настраивать SP/BMC/IPMI интерфейсы СХД NetApp, Huawei — сопровождать коммутаторы сети хранения данных, вводить в эксплуатацию новые, сопровождать (Brocade, Cisco) — работать по направлению технической поддержки дисковых массивов NetApp, Huawei, HPE и системного программного обеспечения ONTAP — проводить ремонтно-восстановительные мероприятия и процедуры на серверном оборудовании и системах хранения данных — составлять и своевременно обновлять эксплуатационную документацию — поддерживать в актуальном состоянии перечень запасных компонентов систем хранения данных и серверного оборудования (диски, блоки питания, контроллеры расширения) Требования: — понимание, что такое система хранения данных, её компонентов и взаимодействия между ними — знание СХД линеек NetApp AFF и FAS, Huawei Dorado — опыт в настройке и администрировании SAN (Brocade, Cisco) — опыт работы в подразделении, отвечающем за техническую поддержку или эксплуатацию дисковых систем хранения данных NetApp, Huawei, HPE — опыт работы с протоколами доступа к данным FC, iSCSI, CIFS, NFS, S3 в части СХД — практический опыт работы с серверным оборудованием (HPE, IBM) и СХД (SAN, iSCSI, RDMA) — опыт эксплуатации операционных систем и гипервизоров: MS Windows Server, RHEL, VMware — опыт работы с базовым мониторингом с помощью Zabbix или Grafana — умение проводить комплексный анализ и решать сложные проблемы с операционными системами, производительностью, сетью SAN Условия: — официальное трудоустройство по ТК РФ с первого дня — формат работы — офис, график 5/2 с 9 до 18 часов — возможность построить карьеру в стабильном банке — льготные условия по кредитной карте, кредиту и ипотеке — особые предложения от крупнейших застройщиков России — скидки до 70% на покупки от 500 лидеров рынка через корпоративный агрегатор

Требования: — Опыт разработки математических моделей слот-игр — Сильные знания теории вероятностей и статистики — Понимание принципов симуляций и автоматизации, навыки программирования хотя бы на одном языке (Python, C++ или C#) — Понимание принципов работы RNG и требований к сертификации — будет плюсом

Задачи: — автоматизация рутинных задач с использованием PowerShell; — сопровождение, развертывание и контроль работы серверов на базе Windows Server; — сопровождение, развертывание и контроль работы серверов на базе Linux (Debian-like). Требования: — подтверждённые знания уровня CCNP/HCIP; — уверенные знания и опыт эксплуатации в области администрирования ролей и служб Windows Server 2016 и новее, включая Active Directory Domain Services (в том числе GPO), DHCP, DNS, WSUS, CA, NPS, ADFS; — опыт работы со средствами виртуализации VMware; — понимание принципов построения и работы корпоративных сетей и сетевых протоколов. Будет преимуществом: — владение английским языком, позволяющее читать техническую документацию; — знания и опыт эксплуатации продуктов System Center, SharePoint, KVM, Exchange; — знания и опыт эксплуатации в области администрирования Linux; — опыт работы в крупной организации. Условия: — работа в аккредитованной ИТ-компании и трудоустройство по ТК РФ; — офисный формат работы с динамическим началом и окончанием рабочего дня; — комфортные офисы с кофе, чаем, вкусными и полезными перекусами, корпоративная библиотека и удобные переговорные комнаты.

Location: Sydney, Australia About Blue Projects Blue Projects is a full service Design, Engineering, Project Management and Construction Management company with international experience delivering complex greenfield and brownfield developments for global blue-chip clients across retail, commercial and industrial sectors. We operate with a flexible, client focused approach, applying lean design and lean construction methodologies to ensure seamless cross discipline interface management and consistent quality. With a presence in 53+ countries and 26 offices, our teams have successfully delivered 500+ projects totaling more than €8 billion in value—combining hands on ownership with a culture that prizes safety, down to earth collaboration, and being “always deliver & pleasant to work with.” Deliver here. Grow here. We are seeking a hands-on Maintenance Fitter / Tradesperson for a site-based role at a busy food manufacturing facility in Sydney, NSW. You will support safe and reliable plant operations through planned preventive maintenance, breakdown repairs, corrective work and practical site improvements, working independently or as part of the maintenance team. Role Overview This role is based at a multi-storey food manufacturing site in NSW, with an anticipated start in early 2027 and engagement through Blue Projects. The work is varied and dynamic, moving between planned maintenance, reactive repairs, improvement tasks and general facility maintenance. The successful candidate will be a self-starter who takes ownership of each job and completes work safely and to a high standard without close supervision. Job Description Change pumps, mechanical seals and associated equipment. Install, run and modify pipework. Identify faults and complete mechanical repairs. Complete preventive maintenance and corrective PM02 work orders for the maintenance teams. Respond to equipment breakdowns and routine site maintenance requests. Carry out general maintenance and handyman tasks throughout the facility. Work safely at heights and across multiple levels of the plant. Follow site Good Manufacturing Practice, food safety and workplace safety requirements on every job, including permits and risk assessments. Leave all work areas clean, safe and ready for production. Qualifications Trade-qualified fitter or equivalent tradesperson with strong site experience. Self-motivated and able to take ownership of work from start to completion. Comfortable working independently and equally effective as part of a team. Willing to undertake challenging jobs and work overtime when required. Strong safety mindset with an understanding of Good Manufacturing Practice in a food manufacturing environment. Confident and competent when working at heights. Practical, adaptable and able to move between planned and reactive work. Reliable, punctual and well presented. Current working at heights ticket is required. Confined space, elevated work platform for scissor and boom lifts, and forklift tickets are well regarded. Previous experience in food manufacturing or another Good Manufacturing Practice-regulated site is advantageous. Completion of the site induction and compliance with all site safety, hygiene and personal protective equipment requirements are required. Additional Information Career growth & well being At Blue Projects, you’ll join a smart, open and communicative team with access to Online Learning Platforms, psychological and well being services, and an Employee Assistance Program. Benefits (country specific) Business health insurance coverage, access to sports and relaxation services, and performance based annual bonus; role appropriate equipment such as laptop, mobile phone, and data plan. Global mobility Opportunities for international assignments aligned to our Global Mobility Policy, with clear, equitable and standardized terms and conditions for short and long term engagements. Our culture We value safety, integrity, flexibility, and being great partners to our clients—operating with hands on ownership and a down to earth, high performance mindset. Inclusion & Equal Opportunity Blue Projects is committed to inclusion, dignity and respect, with zero tolerance for bullying, harassment or discrimination. We provide impartial support mechanisms and clear procedures to ensure a respectful workplace for all colleagues, contractors and agency workers. GDPR & confidentiality By applying, you consent to the use of your personal data strictly for recruitment purposes, in accordance with our GDPR practices; access is limited to authorized staff and handled confidentially. ________________________________________________________________________ About Blue Projects Formed in Romania in 2007, Blue Projects brings together dedicated and experienced engineers, architects and project managers with a track record of delivering complex, fast track developments worldwide. Our brand personality is dynamic and client oriented, focused on creating a memorable, meaningful and contemporary impact—supported by consistent standards and identity. ________________________________________________________________________ How to apply Please submit your CV. Shortlisted candidates will be contacted to discuss next steps.

Location: Boston, MA Workplace: OnSite At WHOOP, we’re on a mission to unlock human performance and healthspan. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies, behaviors, and daily lives.   WHOOP Labs is the on-site research facility for product development and innovation at WHOOP. We conduct human-centered hardware and algorithm research to create best-in-class product experiences that work for all members.   WHOOP is hiring a Researcher II to support research planning and execution on weekends, supporting critical data collection windows for participant diversity and expanded access. This role will cover a broad range of research studies for algorithm training, hardware validation, and design testing. While your home base will be WHOOP’s on-site product research facility, WHOOP Labs, studies will include field collections across the metro Boston area to widen access for diverse communities. Your efforts will support the organization as we continue to develop a best-in-class experience and lead the wearables industry.   *This role is fully onsite at our Boston, MA office and follows a 4x10 schedule, with four 10-hour workdays each week, Friday through Monday, and three days off Tuesday through Thursday.   RESPONSIBILITIES - Execute testing protocols across multiple concurrent studies, owning research execution on weekends and collaborating with other researchers on Friday and Monday to ensure consistent protocol administration across all days and shifts. - Own research documentation for weekend hours, collaborating with other researchers on Friday and Monday to ensure effective handoffs and information transfer across shifts. - Provide coaching and guidance to participants during exercise protocols, balancing data integrity, research best practices, and participant experience - Create a supportive and welcoming environment for participants engaging in a range of research tasks, from exercises to device interactions - Manage the use, troubleshooting, and upkeep of sensitive data collection equipment and prototype devices - Develop strong working knowledge of WHOOP’s research platform tooling suite, with the ability to troubleshoot issues in real time—including during active data collections—and problem-solve on the fly - Develop junior researchers by providing technical coaching, delegation, constructive feedback, and growth opportunities - Own daily lab management tasks required for data collections to be successful, such as laundry, equipment cleaning, material organization, and overall lab readiness - Serve as an ambassador for WHOOP Labs and the WHOOP brand   QUALIFICATIONS - Bachelor’s Degree in human physiology, biomedical engineering, psychology, HCI, or similar - Professional experience in research & development, human subjects research, or a related field, including 2+ years of experience conducting human subjects research - Strong technological background and working knowledge of data management systems including the Google Suite - Familiarity with research platform tools and hardware testing environments preferred - Strong interpersonal communication skills with a savvy for working as part of a highly collaborative, fast-paced team - Ability to manage multiple priorities and adapt quickly in dynamic research settings - Prior experience in customer service or other public-facing roles a plus - Strong written, verbal, and presentation skills, with confidence giving and receiving feedback across disciplines   Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for this full-time position is $75,000 - $95,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.

Location: Berlin, Germany 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. The role Nebius Token Factory is looking for scientists who can turn frontier LLM and VLM inference bottlenecks into research questions, conduct rigorous experiments, and translate their findings into production capabilities. You will own focused research and optimization projects, write strong code, and produce prototypes, publications, and technical artifacts that engineers can build on. Your research will span quantization, distillation, speculative decoding, KV-cache optimization, and model/runtime co-optimization, alongside inference engines and distributed inference architectures. You will investigate how these approaches interact, evaluate their trade-offs across model quality, latency, throughput, memory footprint, and cost per token, and work with engineering teams to bring promising results into production. Your responsibilities Lead research projects in efficient LLM and VLM inference, from hypotheses and experiments through ablations, prototypes, and production handoff. Develop and evaluate methods spanning quantization, quantization-aware training (QAT), distillation, speculative decoding, KV-cache reuse, KV-cache compression, long-context inference, MoE routing, and model/runtime co-optimization. Build prototypes using PyTorch, Triton, CUDA-adjacent tooling, or inference-serving frameworks, and collaborate with MLEs and platform engineers to turn them into production components. Research LLM request routing and scheduling strategies, including cache-aware load balancing and prefill–decode disaggregation (PDD). Evaluate how queueing, KV-cache transfer, worker placement, and prefill/decode capacity allocation affect latency, throughput, and serving cost. Investigate multi-node inference for dense and mixture-of-experts models, including wide expert parallelism (WideEP). Study expert placement, load imbalance, and computation/communication trade-offs, and use the findings to guide model and system architecture choices. Develop rigorous evaluations covering quality, latency, throughput, numerical stability, memory footprint, tail latency, and cost per token. Compare serving architectures under consistent workload conditions and GPU budgets. Work with MLE, GPU kernel, backend infrastructure, product, and customer teams to select research priorities with measurable production impact. Share results through internal reports, technical blogs, papers, and open-source artifacts, and mentor engineers and scientists on experimental design, scientific rigor, and model/system trade-offs. Must-haves A PhD in computer science, machine learning, ML systems, computer systems, computer architecture, electrical engineering, applied mathematics, or a closely related discipline. A strong publication record or equivalent research artifacts in ML, ML systems, efficient inference, model compression, quantization, distillation, serving systems, or related areas. Strong Python and PyTorch implementation skills, with the ability to turn ideas into experiments and working prototypes. Deep knowledge of LLMs, VLMs, transformer inference, decoding algorithms, model compression, quantization, and production-serving trade-offs. Strong experimental design skills covering ablations, baselines, metrics, statistical reasoning, and failure analysis. Excellent written and verbal communication. Nice-to-haves First-author publications at venues such as NeurIPS, ICML, ICLR, MLSys, ACL, EMNLP, ASPLOS, OSDI, SOSP, ISCA, or HPCA. Experience deploying ML models or inference optimizations in production. Experience with vLLM, SGLang, TensorRT-LLM, NVIDIA Dynamo, FlashAttention, FlashInfer, Triton, CUDA, or PyTorch internals. Experience applying post-training, SFT, DPO, RLHF, RLAIF, preference optimization, or synthetic data generation to inference quality or efficiency. Open-source research artifacts, widely used benchmarks, technical blogs, or invited talks demonstrating contributions to efficient AI systems. Research or implementation experience in one or more areas of distributed inference system architecture, such as LLM request routing, PDD, multi-node serving, or MoE expert parallelism, including WideEP. 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.

Location: Zurich, Switzerland 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. The role Nebius Token Factory is looking for scientists who can turn frontier LLM and VLM inference bottlenecks into research questions, conduct rigorous experiments, and translate their findings into production capabilities. You will own focused research and optimization projects, write strong code, and produce prototypes, publications, and technical artifacts that engineers can build on. Your research will span quantization, distillation, speculative decoding, KV-cache optimization, and model/runtime co-optimization, alongside inference engines and distributed inference architectures. You will investigate how these approaches interact, evaluate their trade-offs across model quality, latency, throughput, memory footprint, and cost per token, and work with engineering teams to bring promising results into production. Your responsibilities Lead research projects in efficient LLM and VLM inference, from hypotheses and experiments through ablations, prototypes, and production handoff. Develop and evaluate methods spanning quantization, quantization-aware training (QAT), distillation, speculative decoding, KV-cache reuse, KV-cache compression, long-context inference, MoE routing, and model/runtime co-optimization. Build prototypes using PyTorch, Triton, CUDA-adjacent tooling, or inference-serving frameworks, and collaborate with MLEs and platform engineers to turn them into production components. Research LLM request routing and scheduling strategies, including cache-aware load balancing and prefill–decode disaggregation (PDD). Evaluate how queueing, KV-cache transfer, worker placement, and prefill/decode capacity allocation affect latency, throughput, and serving cost. Investigate multi-node inference for dense and mixture-of-experts models, including wide expert parallelism (WideEP). Study expert placement, load imbalance, and computation/communication trade-offs, and use the findings to guide model and system architecture choices. Develop rigorous evaluations covering quality, latency, throughput, numerical stability, memory footprint, tail latency, and cost per token. Compare serving architectures under consistent workload conditions and GPU budgets. Work with MLE, GPU kernel, backend infrastructure, product, and customer teams to select research priorities with measurable production impact. Share results through internal reports, technical blogs, papers, and open-source artifacts, and mentor engineers and scientists on experimental design, scientific rigor, and model/system trade-offs. Must-haves A PhD in computer science, machine learning, ML systems, computer systems, computer architecture, electrical engineering, applied mathematics, or a closely related discipline. A strong publication record or equivalent research artifacts in ML, ML systems, efficient inference, model compression, quantization, distillation, serving systems, or related areas. Strong Python and PyTorch implementation skills, with the ability to turn ideas into experiments and working prototypes. Deep knowledge of LLMs, VLMs, transformer inference, decoding algorithms, model compression, quantization, and production-serving trade-offs. Strong experimental design skills covering ablations, baselines, metrics, statistical reasoning, and failure analysis. Excellent written and verbal communication. Nice-to-haves First-author publications at venues such as NeurIPS, ICML, ICLR, MLSys, ACL, EMNLP, ASPLOS, OSDI, SOSP, ISCA, or HPCA. Experience deploying ML models or inference optimizations in production. Experience with vLLM, SGLang, TensorRT-LLM, NVIDIA Dynamo, FlashAttention, FlashInfer, Triton, CUDA, or PyTorch internals. Experience applying post-training, SFT, DPO, RLHF, RLAIF, preference optimization, or synthetic data generation to inference quality or efficiency. Open-source research artifacts, widely used benchmarks, technical blogs, or invited talks demonstrating contributions to efficient AI systems. Research or implementation experience in one or more areas of distributed inference system architecture, such as LLM request routing, PDD, multi-node serving, or MoE expert parallelism, including WideEP. 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.

Location: London, United Kingdom 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. The role Nebius Token Factory is looking for scientists who can turn frontier LLM and VLM inference bottlenecks into research questions, conduct rigorous experiments, and translate their findings into production capabilities. You will own focused research and optimization projects, write strong code, and produce prototypes, publications, and technical artifacts that engineers can build on. Your research will span quantization, distillation, speculative decoding, KV-cache optimization, and model/runtime co-optimization, alongside inference engines and distributed inference architectures. You will investigate how these approaches interact, evaluate their trade-offs across model quality, latency, throughput, memory footprint, and cost per token, and work with engineering teams to bring promising results into production. Your responsibilities Lead research projects in efficient LLM and VLM inference, from hypotheses and experiments through ablations, prototypes, and production handoff. Develop and evaluate methods spanning quantization, quantization-aware training (QAT), distillation, speculative decoding, KV-cache reuse, KV-cache compression, long-context inference, MoE routing, and model/runtime co-optimization. Build prototypes using PyTorch, Triton, CUDA-adjacent tooling, or inference-serving frameworks, and collaborate with MLEs and platform engineers to turn them into production components. Research LLM request routing and scheduling strategies, including cache-aware load balancing and prefill–decode disaggregation (PDD). Evaluate how queueing, KV-cache transfer, worker placement, and prefill/decode capacity allocation affect latency, throughput, and serving cost. Investigate multi-node inference for dense and mixture-of-experts models, including wide expert parallelism (WideEP). Study expert placement, load imbalance, and computation/communication trade-offs, and use the findings to guide model and system architecture choices. Develop rigorous evaluations covering quality, latency, throughput, numerical stability, memory footprint, tail latency, and cost per token. Compare serving architectures under consistent workload conditions and GPU budgets. Work with MLE, GPU kernel, backend infrastructure, product, and customer teams to select research priorities with measurable production impact. Share results through internal reports, technical blogs, papers, and open-source artifacts, and mentor engineers and scientists on experimental design, scientific rigor, and model/system trade-offs. Must-haves A PhD in computer science, machine learning, ML systems, computer systems, computer architecture, electrical engineering, applied mathematics, or a closely related discipline. A strong publication record or equivalent research artifacts in ML, ML systems, efficient inference, model compression, quantization, distillation, serving systems, or related areas. Strong Python and PyTorch implementation skills, with the ability to turn ideas into experiments and working prototypes. Deep knowledge of LLMs, VLMs, transformer inference, decoding algorithms, model compression, quantization, and production-serving trade-offs. Strong experimental design skills covering ablations, baselines, metrics, statistical reasoning, and failure analysis. Excellent written and verbal communication. Nice-to-haves First-author publications at venues such as NeurIPS, ICML, ICLR, MLSys, ACL, EMNLP, ASPLOS, OSDI, SOSP, ISCA, or HPCA. Experience deploying ML models or inference optimizations in production. Experience with vLLM, SGLang, TensorRT-LLM, NVIDIA Dynamo, FlashAttention, FlashInfer, Triton, CUDA, or PyTorch internals. Experience applying post-training, SFT, DPO, RLHF, RLAIF, preference optimization, or synthetic data generation to inference quality or efficiency. Open-source research artifacts, widely used benchmarks, technical blogs, or invited talks demonstrating contributions to efficient AI systems. Research or implementation experience in one or more areas of distributed inference system architecture, such as LLM request routing, PDD, multi-node serving, or MoE expert parallelism, including WideEP. 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.

Задачи: — Реализовывать и отправлять ежедневные email-рассылки и рассылки через ботов по базе учеников. — Загружать записи Zoom-встреч, вебинаров, эфиров и других материалов на платформы обучения. — Обеспечивать корректную работу лендингов, подключать необходимые виджеты и проверять их работоспособность. — Строить и сопровождать маркетинговые воронки на платформе Salebot. — Создавать учебные продукты и процессы на платформе GetCourse. — Настраивать вебинары и автовебинары. — Создавать и поддерживать интеграции между сервисами и платформами. — Формировать необходимые выгрузки для отделов маркетинга, продаж и обучения. — Взаимодействовать с подрядчиками по техническим вопросам. — Отслеживать и оперативно устранять технические ошибки на всем пути клиента. Требования: — Практический опыт работы техническим специалистом в онлайн-школах. — Уверенное знание платформы GetCourse. — Опыт построения воронок на Salebot. — Опыт настройки процессов для отдела продаж и отдела обучения в GetCourse. — Опыт интеграции сервисов через API. — Опыт работы с AmoCRM. — Навык настройки автоматизаций и бизнес-процессов. Будет преимуществом: — Опыт работы с аналитикой и сбором данных для отслеживания ключевых показателей. — Навыки работы с HTML и CSS для адаптации писем и виджетов. — Базовые знания Tilda. — Опыт работы в проектах с регулярными запусками. Личные качества: — Быстро обучается и умеет работать с большим объемом информации. — Внимателен к деталям. — Способен работать в режиме многозадачности. — Спокойно относится к дедлайнам и запускам. — Умеет самостоятельно находить решения. — Понимает важность качества технической реализации. Условия: — Полностью удаленная работа. — График: 5/2, с 10:00 до 19:00 по МСК. — Работа в сильной команде с выстроенными процессами. — Интересные задачи и возможность профессионального роста. — Участие в масштабных запусках образовательных продуктов. — Адекватная коммуникация и поддержка внутри команды. Оплата: 40 000р

Задачи: — разработка мебели в Базис-Мебельщик; — подготовка чертежей, спецификаций, деталировки и карт раскроя; — подготовка проектов к запуску в производство; — проверка конструкции, размеров, материалов и фурнитуры; — взаимодействие с дизайнерами и производством. Требования: — опыт работы конструктором мебели от 1 года; — уверенное знание Базис-Мебельщик; — понимание технологии производства корпусной мебели; — знание материалов и мебельной фурнитуры; — внимательность и ответственность. Условия: — заработная плата от 100 000 ₽, обсуждается по опыту; — официальное оформление; — стабильная загрузка; — собственное современное производство; — интересные индивидуальные и коммерческие проекты; — для опытного специалиста возможна удалённая работа. Возможна работа на производстве, гибрид или удалённый формат.

Задачи: — Сделать механику с розыгрышем подарков в Telegram-канале: автоматизированное бросание кубика. Требования: — Опыт работы с Salebot. — Знание специфики Salebot, отличающейся от Bothelp и других аналогов. Условия: — Задача разовая. — Возможность дальнейшего сотрудничества на постоянной основе.

В Proglib Academy требуется AI-native ассистент CEO, который сможет преобразовывать рутинные задачи в автоматизированные процессы с использованием искусственного интеллекта. Основные обязанности включают выявление задач для автоматизации и внедрение соответствующих решений, настройку AI-агентов с использованием Claude, ChatGPT и n8n, интеграцию ИИ с базой знаний и внутренними данными, а также автоматизацию процессов создания курсов, маркетинга и продаж. Кандидат должен обладать высоким уровнем владения AI и практическим опытом работы с большими языковыми моделями (LLM), быть самостоятельным и склонным к экспериментам, а также уметь доводить проекты до рабочего результата. Дополнительным преимуществом станут знания n8n, Make, API, webhooks, AI-агентов и интеграций. Предлагается работа с реальными бизнес-задачами, возможность предлагать собственные решения и развиваться в области AI-автоматизации.

Общие условия: — 5/2, полная занятость — Официальное трудоустройство по ТК РФ — Для научных сотрудников: зарплата 100 000–150 000 руб. (в зависимости от наукометрии) — Комфортное проживание для иногородних в отелях Sirius Hotels — Фитнес-залы, спортивные секции, открытая современная спортивная инфраструктура — Обучение, конференции, программы развития — Забота о здоровье: обслуживание в Медицинском центре «Сириус» — Корпоративные льготы и скидки: специальные условия от партнёров на посещение культурных, развлекательных и спортивных мероприятий. Вакансии: Научный сотрудник / Старший научный сотрудник (Химик-синтетик / Специалист по наноматериалам) Задачи: — Синтез и функционализация наноматериалов (белковые наночастицы, МОФ, полимерные матрицы) — Инкапсуляция терапевтических агентов — Физико-химическая характеризация наночастиц: структура, размер, морфология Требования: — PhD / к.н. — Опыт органического/неорганического синтеза — Навыки работы на аналитическом оборудовании (спектроскопия, хроматография, электронная микроскопия) — Индекс Хирша WOS/Scopus ≥ 1 Научный сотрудник / Старший научный сотрудник (Молекулярный биолог) Задачи: — Разработка рекомбинантных конструкций для экспрессии биомиметических носителей (ферритин и другие белки) — Генетическая модификация клеточных линий: лентивирусная трансдукция, редактирование генома — Дизайн и сайт-специфичная конъюгация биомолекул (антитела, DARPin, пептиды) — Клеточные, молекулярные и физиологические методики, анализ биомаркеров — Сбор и статистический анализ данных, публикации и патенты Требования: — PhD / к.н. — Опыт в молекулярном клонировании и белковой инженерии — Уверенная работа с клеточными культурами — Опыт хроматографической очистки белков — Хирш ≥ 1 Научный сотрудник / Старший научный сотрудник (Микробиолог / Специалист по клеточным технологиям) Задачи: — Оценка влияния наночастиц на жизнеспособность, метаболизм и механизмы апоптоза/ферроптоза в клеточных моделях — Исследование процессов адсорбции и интернализации наночастиц с использованием опухолевых клеток — Участие в планировании и проведении экспериментов по разработке сингенных моделей Требования: — PhD / к.н. — Уверенная работа с клеточными культурами — Опыт с патогенными/условно-патогенными микроорганизмами — Навыки анализа иммунологических тестов и проточной цитометрии — Хирш ≥ 1 Старший научный сотрудник — мРНК-вакцины и онкоиммунология Задачи: — Планировать и самостоятельно проводить исследования в области мРНК-вакцин и опухолевых неоантигенов — Разрабатывать и оптимизировать экспериментальные подходы для оценки иммуногенности мРНК-конструкций и презентации кодируемых антигенов — Исследовать клеточные и иммунные ответы, участвовать в разработке и валидации вакцинных кандидатов — Участвовать в подготовке отчетов по проекту — Готовить статьи для научных журналов, презентации, патентные заявки для защиты интеллектуальной собственности — Руководить дипломными проектами студентов и помогать формировать новое поколение исследователей Требования: — PhD / к.н. в молекулярной биологии, генетике, биохимии или медицине — 3+ года лабораторного опыта — Владение молекулярно-генетическими методами: qPCR, клонирование, IVT — Опыт работы с клеточными культурами — Умение выполнять и интерпретировать иммунологические тесты: ELISA, ELISpot, проточная цитометрия — Понимание MHC I/II, HLA-типирования, CD8+/CD4+ ответов.

Требования: — Опыт работы с 1С:EDT - крайне важно (глубокие знания и опыт) — Понимание жизненного цикла разработки 1С. — Опыт настройки CI/CD. — Навыки анализа производительности кода 1С (запросы, клиент-серверные вызовы, блокировки). — Опыт работы с Git на уровне продвинутого пользователя. Задачи: — Аудит текущего стенда: Изучить связку 1C:EDT + Git, выявить узкие места (долгие сборки, конфликты, проблемы с зависимостями). — Анализ кода: Провести ревью проекта с точки зрения производительности. — Есть гипотеза, что неоптимальный код (или структура модулей) замедляет работу пайплайна и отклик системы. — Проектирование решения: Согласовать с заказчиком целевую архитектуру пайплайна (изменения в этапах сборки, тестирования, доставки). — Реализация: Переделать пайплайн согласно согласованному плану. — Настроить автоматизацию.