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Location: Brownsville, WI Corporate Office Estimator Michels Energy Solutions, Inc. Location: WI | Full-time | Travel Required Michels Energy Solutions, Inc. (MES) serves as the general contracting and prime contractor arm of Michels, delivering complex energy and industrial infrastructure projects across North America. MES provides turnkey project execution, leveraging Michels' self-perform capabilities to manage every phase of construction, from planning and procurement through field execution and project closeout. With deep expertise in pipelines, gas distribution systems, compressor and pump stations, industrial facilities, utility infrastructure, and energy-related construction, MES partners with clients to safely deliver critical projects that power economies and support growing communities. Known for tackling challenging scopes and providing integrated solutions, Michels Energy Solutions combines the resources of a national contractor with the agility, accountability, and hands-on leadership needed to successfully execute large-scale energy and industrial projects. Our work improves lives. Discover how a career at Michels Energy Solutions, Inc. can change yours. As a Project Engineer with Michels Pipeline, Inc. , you will support the successful execution of pipeline construction projects by assisting with planning, coordination, and field operations. This role offers hands-on experience in all phases of project delivery, including scheduling, cost tracking, quality control, and collaboration with field crews and project managers. You will gain practical exposure to how complex pipeline projects are built safely, efficiently, and to the highest standards. Why Michels Energy Solutions, Inc.? We consistently ranked among the top 10% of Engineering News‑Records Top 400 Contractors We’re a national leader in pipeline with a long track record of success. Our steady, strategic growth revolves around a commitment to quality. Family‑owned and operated organization with long‑term stability We invest an average of $5,000 per employee per year in training and career development. We perform high-impact, essential work that supports homes, businesses, and communities. A culture where everyone shares responsibility for safety , regardless of title We’re part of the Michels family of companies—one of North America’s largest and most diversified energy and infrastructure contractors. We offer a comprehensive benefits program including: Health, Dental, and Life Insurance Flexible Spending Accounts (FSA) and Health Savings Account (HSA) Short- and Long-Term Disability Insurance 401(k) Retirement Plan Legal Assistance and Identity Theft Protection Plans (Benefits may vary based on position and location) Why you? You like to surround yourself with dedicated, value-driven people You value challenges and opportunities over a 9 to 5 job You learn from the past and push ahead toward the future You like to know your efforts are noticed and appreciated You believe that individual commitment to a group effort is key to success You want your work to make a difference in people’s lives What it takes? Bachelor of Science in Construction Management preferred or relevant industry experience 2+ years of relevant estimating experience Experience with job cost tracking software, estimating software, Trimble Business Center and Primavera (preferred) Strong verbal and written communication skills A valid driver license for the type(s) of vehicles you may be driving and an acceptable driving record 25% Travel AA/EOE/M/W/Vet/Disability https://www.michels.us/website-user-privacy-policy/

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

Location: Santa Clara, CA Step into the innovative world of LG Electronics. As a global leader in technology, LG Electronics is dedicated to creating innovative solutions for a better life. Our brand promise, 'Life's Good', embodies our commitment to ensuring a happier life for all. We have a rich history spanning over six decades and a global presence in over 290 locations.  Our diverse portfolio includes Home Appliance Solutions, Media Entertainment Solutions, Vehicle Solutions, and Eco Solutions.  Our management philosophy, "Jeong-do Management," embodies our commitment to high ethical standards and transparent operations. Grounded in the principles of 'Customer-Value Creation' and 'People-Oriented Management', these values shape our corporate culture, fostering creativity, diversity, and integrity. At LG, we believe in the power of collective wisdom through an inclusive work environment.  Join us and become a part of a company that is shaping the future of technology.  At LG, we strive to make Life Good for Everyone. LG NOVA, LG Electronics North America Innovation Center You are not applying for a job. You are here to found LG's next company. LG NOVA builds new ventures and spins them out as real businesses. We are looking for a small group of founders to validate and launch the next one, with LG's balance sheet and government relationships behind them. We are recruiting now for our next Founder in Residence cohort, with the first 90 day validation sprint targeted to begin on December 1, 2026. This is a founding seat, not an advisory one. If the venture proves out, you lead it as Founder and CEO. The mandate is open on purpose We are not handing you a problem to solve. The strongest ventures come from founders who already see something the market has missed, so we are domain agnostic by design. While we stay open on the domain, we are focused on AI enabled software ventures with strong commercial potential. We are looking for candidates with experience building, leading, or commercializing businesses at the core AI layer or adjacent products/tools, rather than mainly building applications using AI. The strongest candidates bring experience and a solid understanding of the AI lifecycle, including model training or fine tuning, evaluation, deployment, inference, optimization, and production scale operation. This experience may come from technical development, product leadership, or building and commercializing AI platforms and infrastructure businesses. Hands-on engineering experience is valuable but not required. Relevant areas of business may include: AI Management, Development Platforms Agentic Coding, Dev Automation Agent Orchestration, Workflow Automation AI Safety, Security, Compliance Data Infrastructure, Data Generation, Curation Relevant experience may include model training infrastructure, inference and serving, model optimization, AI runtimes, agent infrastructure, orchestration, evaluation, observability, governance, data infrastructure, or AI native developer platforms. You should understand model and data pipelines, compute and performance trade offs, production reliability, and the economics of running AI systems at scale. Strong preference goes to candidates who have built, led, or commercialized reusable AI infrastructure, platforms, or developer tooling that many applications or enterprise customers can build on. We value founders who can translate technical capabilities into differentiated, commercially viable B2B ventures, supported by strong customer relationships and a track record of generating revenue. Bring the problem you have unfair insight into, the buyers you already know, and the conviction that it should exist as a company. Every venture in this cohort is AI native. We are building software only, so no hardware, and nothing capital intensive to get off the ground. The industry is yours to pick, but for this cohort we are not considering health or clean tech, which sit with other teams at LG NOVA, so if that is your space this is not the cohort for it. This is not an accelerator. We are looking for founders who want to build and validate a new venture from the ground up. If you already have a company or a product you are trying to push forward, this is not the right fit. Who we are looking for You are a domain operator with deep access to the buyers in your space. You have built or commercialized something real and have raised funding before. People in your industry take your call. Maybe you founded before, maybe you raised before, maybe you ran a business line that behaved like a startup. You move fast when the path is unclear, and you close. The profile we want Founder, repeat founder, or founding executive experience Deep expertise and credibility in a specific industry or problem space A live network of buyers and decision makers in your domain that you can call on A track record of building, commercializing, or scaling something new Comfort in ambiguity with a bias toward evidence and revenue A clear view on why AI makes your venture buildable now and not three years ago What LG NOVA offers You get resources most early founders would fight for. Competitive compensation at market rates while you do the work A concept testing budget so you can put real money behind proving demand A budget of up to $500K to carry a validated idea toward commercialization, setting you up for a Seed round Government partnerships across multiple US states that open real doors to pilots, design partners, and first customers An LG backed fund that gives validated ventures a direct path to capital, so you are not starting your raise from zero Market research, market sizing, and financial modeling done alongside you, not billed back to you Engineering services to help you test and build Equity in the venture you validated and commercialized if it progresses to a Seed round You validate. We resource it. How the program runs The program runs in two sprints. Sprint 1 is 90 days of validation . You define a specific high value problem, identify the economic buyer, test willingness to pay, and generate hard evidence that a venture should exist. The point is proof, not a product. We run this in the open with you. You meet with us weekly to review progress and evidence, and at set checkpoints around Day 30, 45, and 60 we decide together whether to sharpen the concept, redirect it, or stop it. Redirecting or stopping a concept early is part of how this works, not a mark against you. Sprint 1 ends with a panel review on Day 90. That panel decides whether the venture continues into Sprint 2. Sprint 2 is around 180 days of building toward venture formation . You move from evidence to commercialization, early customers, and the foundation of a company. If the venture earns it, you become Founder and CEO of a new business built with LG behind you. What you will do Develop and sharpen a venture thesis in a space you know cold Run buyer discovery with the people who actually hold the budget Pin down the economic buyer, the budget owner, and how they buy Validate the pain, the workflow, and the real size of the demand Design and test a paid pilot, a design partner program, or an early offering Secure concrete evidence of willingness to pay, whether a paid pilot, a signed letter of intent with commercial terms, or a design partner agreement, from a named buyer Build the commercialization plan and the business model Bring back a recommendation grounded in what the market told you What success looks like by the end A clearly defined venture opportunity A validated customer and economic buyer Hard evidence of demand A credible path to revenue Signed design partners, pilots, or customer commitments A commercialization plan that scales Enough conviction that LG should invest and build The details This is a contract, hybrid role based in Santa Clara, California, structured as two consecutive sprints. It is a full-time, exclusive engagement. While you are in the program you are not building, advising, or holding an active role in another startup, including as a passive or part time founder. Your focus is this venture and nothing else. Compensation is annualized and paid during each sprint. Sprint 1, the first 90 days, pays an annualized equivalent of $180,000 to $200,000 , plus a dedicated concept testing budget. Sprint 2, around 180 days, pays an annualized equivalent of $200,000 to $240,000, contingent on completing Sprint 1 and being selected to continue into commercialization. The ventures built here are LG ventures. The work and IP you create during the program belong to LG NOVA, and in return you share in the upside through equity if the venture progresses to a Seed round, and the path to Founder and CEO if it spins out. We are selecting a very small, highly selective founding cohort for this round, so the bar is high and the opportunity is real. If your venture spins out and you step into Founder and CEO, your executive package, including salary, equity, and other terms, is negotiated separately as part of forming and financing the new company. Location & Work Schedule This hybrid role requires eight hours of onsite work each Tuesday, Wednesday, and Thursday at our Santa Clara office. Mondays and Fridays may be worked remotely. #LI-JH1 #HYBRID Recruiting Range $180,000 — $200,000 USD Benefits Offered Full-Time Employees: No-cost employee premiums for you and your eligible dependents for competitive medical, dental, vision and prescription benefits. Auto enrollment with immediate vesting of competitive company matching contributions in a 401(k) Retirement Savings Plan with several investment options. Generous Paid Time Off program that includes company holidays and a combined bank of paid sick and vacation time. Performance based Short-Term Incentives (varies by role). Access to confidential mental health resources to help you and your loved ones improve your quality of life. Personal fitness goal incentives. Family orientated benefits such as paid parental leave and support for families raising children with learning, social, behavioral challenges, or developmental disabilities. Group Rate Life and Disability Insurance. Benefits Offered Temporary/Contractors: Eligible for the relevant benefit programs offered through our partner agencies. Privacy Notice to California Applicants Applicants who need assistance or a reasonable accommodation during the hiring process may contact our team by phone at: 973-477-7090 or support@lg4me.freshdesk.com. This email and phone number will only reply to accommodation requests and is not intended for general employment inquiries. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. In addition to the above, LG believes that pay transparency is a key part of diversity, equity, and inclusion. Our salary ranges take into account many factors in making compensation decisions including but not limited to skillset, experience, licensure, certifications, internal equity, and other business needs. While we consider geographic pay differentials in final offers, because we operate in many geographies where applicable, the salary range listed may not reflect all geographic differentials applied .

Location: India Workplace: Remote PRIVATE EQUITY AI RESEARCHER (IC Decks, Board Materials) Full time | Remote — India ABOUT US Aptura is a London-based company working on understanding how AI is changing professional work. We look closely at how finance and advisory professionals actually work, and where AI helps or falls short. The company was founded by people with backgrounds at Lazard, McKinsey and Partners Group. ROLE DESCRIPTION We are looking for Subject Matter Experts from private equity, private credit or corporate development who build IC papers, board materials and portfolio updates. You know which slide the committee turns to first, and why AI rarely gets it right. You have used AI tools on your own work and been frustrated by the mistakes they make, or you simply want to find out how good they really are. You will turn that experience into realistic PowerPoint tasks that test how well AI do the deck work of an investment associate. RESPONSIBILITIES INCLUDE - Writing realistic PowerPoint tasks drawn from your own investment and portfolio work: building decks from source documents, filling corporate templates, rolling decks forward and making precise edits - Working through each task yourself so there is a clear, correct answer - Writing a yes-or-no checklist precise enough that an AI grader can mark any attempt against it NECESSARY SKILLS INCLUDE - 2+ years in private equity, growth equity, private credit or corporate development - Deep hands-on PowerPoint: native charts, tables and corporate templates - Ability to define what a correct deck looks like precisely enough for someone else to grade against it - Clear writing. Tasks must be written by you, not by AI tools - Attention to detail, and willingness to learn concepts in AI and data HOW IT WORKS 1. Apply with your details and CV. After applying, verify your email and choose an available 30-minute group walkthrough call. You can book immediately; there is no application-approval step before booking. 2. Attend the walkthrough and enter the code shared by the host at the end of the call to unlock your task workspace. 3. Create one original task from your own work in about 45 minutes. Submit the brief, the actual input files needed to complete it, a written expected result and at least five binary rubric checks, each with one skill tag. Input-file uploads are compulsory. 4. Write the brief and rubric yourself, without AI drafting, rewriting or polishing. Input materials must also be human-authored. Use only materials you are authorised to share, with confidential employer or client information removed. 5. Submit through your account for automated screening and team review. Follow any request for revisions in your account. Completing onboarding does not guarantee a job offer; selection remains subject to review. LOCATION Remote — India

Задачи: — Преобразовывать бизнес-требования в ML-задачи, собирать пайплайн, обучать и проверять модель, внедрять её в реалтайм-сервис и тестировать с помощью A/B-теста. — Искать точки роста, предлагать и отстаивать свои идеи, запускать рекомендации на новых поверхностях и вертикалях. — Ранжировать с учётом предпочтений, доступности и загрузки ресторана, скорости и стоимости доставки, а также балансировать органику с рекламным продвижением. — Сотрудничать с продуктовыми командами, аналитиками и MLOps, решать общие задачи, проводить совместные эксперименты и защищать результаты. Требования: — Опыт разработки на Python или C++. — Хорошее знание методов анализа данных и ML с практическим применением. Будет плюсом: — Опыт создания рекомендательных систем или поиска. — Опыт работы с высоконагруженными реалтайм-системами.

Location: Garching bei München, Germany Workplace: OnSite Rohlik wurde 2014 in der Tschechischen Republik gegründet und ist der europäische Marktführer im Bereich E-Grocery in Mitteleuropa. Das Unternehmen ist bereits in der Tschechischen Republik (Rohlik.cz http://Rohlik.cz), Ungarn (Kifli.hu http://Kifli.hu), Österreich (Gurkerl.at http://Gurkerl.at), Deutschland (Knuspr.de http://Knuspr.de) und weiteren Märkten aktiv. Durch die vollständige Kontrolle über die gesamte Wertschöpfungskette, einschließlich der hauseigen entwickelten Technologie, bietet Rohlik ein herausragendes Kundenerlebnis sowie die frischesten Lebensmittel von lokalen Landwirten und Manufakturen neben einer breiten Auswahl an Supermarktprodukten. ABTEILUNG Das Facility & Engineering Team sorgt für einen sicheren, zuverlässigen und effizienten täglichen Betrieb unserer Fulfillment Center, indem es Infrastruktur, Anlagen und technische Systeme instand hält. Durch vorbeugende und korrektive Instandhaltung minimieren wir betriebliche Risiken und ermöglichen eine kontinuierlich hohe Leistungsfähigkeit. DEINE ROLLE Als Techniker:in bist du für die Instandhaltung und Zuverlässigkeit der technischen Anlagen und der Infrastruktur unseres Lagers verantwortlich. Du führst vorbeugende Wartungsarbeiten durch, behebst Störungen und stellst die Einhaltung der Sicherheitsstandards sicher. Indem du die Verfügbarkeit und Funktionsfähigkeit unserer Anlagen gewährleistest, leistest du einen direkten Beitrag zum reibungslosen Ablauf unserer Fulfillment-Center-Prozesse. WAS WIR VON DIR ERWARTEN - Du übernimmst die Wartung und Reparatur technischer Anlagen und Einrichtungen, einschließlich Automatisierungstechnik, Fördertechnik, Regalsystemen und Infrastruktur. - Du führst vorbeugende und korrektive Instandhaltungsmaßnahmen durch, um Ausfallzeiten zu minimieren. - Du stellst die Einhaltung der Gesundheits-, Sicherheits- und Arbeitsschutzstandards bei allen Facility-Aktivitäten sicher. - Du unterstützt bei Anlageninspektionen, der Dokumentation und der technischen Berichterstattung. - Du bringst dich aktiv in kontinuierliche Verbesserungsmaßnahmen ein, um die Zuverlässigkeit unserer Anlagen und Einrichtungen weiter zu erhöhen. WAS WIR SUCHEN - Nachweisbare Erfahrung in der technischen Instandhaltung oder im Facility Management. - Ausgeprägte Problemlösungs- und Krisenmanagementfähigkeiten. - Hohe Zuverlässigkeit, sorgfältige Arbeitsweise und ausgeprägtes Sicherheitsbewusstsein. - Bereitschaft, neue technische Fähigkeiten zu erlernen und sich fachlich weiterzuentwickeln. - Gute Kommunikationsfähigkeiten. - Abgeschlossene technische Ausbildung bzw. technischer Schulabschluss. VON VORTEIL - Studium, Ausbildung oder Abschluss im Bereich Elektrotechnik, Maschinenbau oder Mechatronik. - Erfahrung in den Bereichen Logistik, Produktion oder Automatisierungstechnik. WAS WIR BIETEN - Direkten Einfluss auf die Zuverlässigkeit und den operativen Betrieb unseres Fulfillment Centers. - Die Möglichkeit, deine Ideen unmittelbar umzusetzen – ohne lange Entscheidungswege. - Keine unnötigen bürokratischen Prozesse. - Die Möglichkeit, deine technischen Fähigkeiten weiterzuentwickeln und dich beruflich weiterzuentwickeln. - Eine wettbewerbsfähige Vergütung und attraktive Möglichkeiten zur fachlichen und persönlichen Weiterentwicklung. - Eine kollegiale Unternehmenskultur mit großartigen Menschen und legendären Firmenevents. #LI-AR1 #Knuspr

Требования: — Уверенное владение современными инструментами генерации и обработки изображений на базе ИИ — Умение работать с промптами, референсами, стилями, пресетами и настройками генерации — Умение добиваться повторяемого результата и сохранять заданную стилистику в серии изображений — Понимание принципов композиции, света, цвета, перспективы и построения изображения — Умение работать с исходным изображением продукта и интегрировать его в создаваемый визуал — Умение выявлять и исправлять характерные ошибки и артефакты AI-генерации — Базовые навыки работы в Adobe Photoshop или аналогичном графическом редакторе — Понимание требований к коммерческому визуальному контенту и подготовке материалов для дальнейшей обработки — Умение систематизировать рабочие решения: сохранять и описывать промпты, настройки, модели, пресеты и последовательность действий Задачи: — Создание и доработка визуального контента с использованием генеративных AI-инструментов: изображения, интерьерные сцены, продуктовый контент, карточки товара, баннеры и другие маркетинговые материалы — Генерация визуального контента на основе реальной продукции компании с сохранением ее внешнего вида, пропорций, материалов и ключевых особенностей — Настройка и применение AI-моделей, пресетов, промптов, стилей и шаблонов под визуальные стандарты бренда и конкретные задачи — Создание вариативного контента на основе исходных материалов: изменение окружения, фона, стилистики, цветовых решений и других элементов изображения — Подготовка и адаптация AI-сгенерированных материалов к дальнейшему продакшну: отбор лучших вариантов, устранение базовых артефактов и подготовка материалов к передаче ретушеру, дизайнеру или другим специалистам — Участие в разработке и настройке типовых AI-процессов (pipeline): генерация изображений, перекрасы, создание вариаций визуала и адаптация контента под разные каналы и форматы — Тестирование новых AI-инструментов и подходов для создания визуального контента, оценка качества и возможностей их применения в рабочих процессах — Систематизация успешных решений: создание шаблонов промптов, пресетов, простых инструкций и гайдов для повторного использования командой — Взаимодействие с фотографами, ретушерами, дизайнерами и другими участниками процесса производства визуального контента Условия: — Белая заработная плата до 120 000 рублей до вычета налога — Оформление по ТК РФ с первого рабочего дня — Выплаты дважды в месяц — Удаленный формат работы — График работы 5/2, 8 часовой рабочий день с 8.30 до 17.30 — Наставничество и обучение — Оплачиваемые отпуска и больничные — ДМС — Скидки на продукцию компании — Бонусы от партнёров — Подарки сотрудникам и детям — Программы признания и поощрения стажа — Обучение и развитие внутри компании — Возможности карьерного роста

Location: Yerevan, Armenia Role Purpose The AI Product Stream Lead defines and delivers AI-powered supply chain solutions that solve real customer and operations problems on the Cargoo platform. You own a product stream end to end, from framing where AI creates value (automation, decision support, agents) to shipping it and proving it works in production. You lead a cross-functional team, balancing customer value, technical and data feasibility, AI quality and cost, business priorities and delivery timelines. You also help set how Cargoo builds product in an AI-native way. Key Responsibilities AI Product Vision & Strategy Shape the stream’s product vision and strategy with stakeholders, in line with Cargoo’s AI strategy and customer needs. Identify and prioritize AI opportunities across freight operations (e.g. exception handling, quoting, document processing, planning and execution support) by value, feasibility and risk. Decide where AI should automate, where it should assist, and where a human must stay in control. Own product decisions, balancing customer value, technical feasibility, AI quality, cost, business priorities and delivery timelines. Leadership & Delivery Lead the development team through the whole product lifecycle, from discovery to rollout and adoption. Decide scope, schedule and quality, including when an AI feature is good enough to ship and when it needs another iteration. Run fast discovery loops: prototype with AI tools, validate with real users and data, then commit. Make sure the team meets internal policies, data protection rules and responsible-AI standards (incl. EU AI Act awareness). Product Management & Requirements Create clear Use Cases, Requirements and Business Rules. For AI features, add expected behaviour, edge cases, failure modes and escalation paths. Define success and evaluation criteria for AI features with engineering: accuracy, latency, cost per task and acceptable error rates, backed by representative test sets. Write User Stories and Acceptance Criteria that cover both deterministic logic and probabilistic AI behaviour. Work with engineering and data owners on data readiness: which data we need, its quality, and who owns it. Own and continuously refine the Product Backlog so the team always works on the highest-value opportunities. Track adoption and impact after release (time saved, automation rate, user trust) and feed the learning back into the roadmap. AI-Native Ways of Working Use AI tools every day for research, specs, prototyping, data analysis and feedback synthesis. Help the team and wider product org adopt AI-assisted delivery practices. Candidate Profile Education & Experience 5+ years managing software development projects, strongly preferably as a Product Owner. Proven managerial skills: team leadership, decision-making and conflict resolution. Degree or diploma in Information Technology, Informatics or a related field. Technical Skills (Must Have) Deep understanding of Agile values, principles and frameworks (Scrum, Kanban, Lean) and the ability to apply them well. Strong analytical skills, comfortable working with data to make product decisions. Solid working understanding of how LLMs and AI agents work, what they are good at, and where they fail (hallucinations, non-determinism, cost, latency). Hands-on, daily use of AI tools in your own work. Fluent English, written and spoken. Strong Plus Having shipped at least one AI/ML or LLM-based feature to production. Experience defining evaluation criteria or test sets for AI features. Logistics background or experience with logistics solutions. Experience with data products, workflow automation or decision-support systems. Behavioral Traits Excellent communication with technical and non-technical audiences, including customers, executives, managers and subject matter experts. Able to explain AI trade-offs in plain language. Strong leadership and decision-making, able to guide teams and resolve conflicts. Analytical, structured and value-driven in prioritization. Evidence over hype. Curious and fast-learning, comfortable with ambiguity and quick iteration.

Қазақстанда алғаш рет корпоративтік IT-мамандарға арналған Vibe Coding чемпионаты өтеді. Задачи: — Жасанды интеллектке тапсырманы дұрыс қойып, алгоритмдік есептерді тиімді промпт арқылы шешу. Требования: — Қатысушылар 22 жастан асқан корпоративтік IT-мамандар болуы. — Соңғы 5 жылда спорттық бағдарламалау бойынша жарыстарға қатысу тәжірибесі болмауы тиіс. — Әр компаниядан 2 бағдарламашы қатысуы керек. Условия: — Формат: офлайн дуэльдер, Double Elimination. — Командалар саны шектеулі. — Жүлде қоры — 1 000 000 ₸. — Үздік компания AlgoBatyr Cup корпоративтік кубогына ие болады. — Өткізу мерзімі: 2 қазан — чемпионат, 3 қазан — марапаттау. — Өткізу орны: Астана қаласы. Как подать заявку: 1. cpfed.kz платформасында тіркелу. 2. Командадағы екінші қатысушының тіркелгенін тексеру. 3. AlgoBatyr тіркелу формасын толтыру және логиндерді көрсету.

Location: Amsterdam, Netherlands; Berlin, Germany; London, United Kingdom; Poland; Prague, Czech Republic; Tel Aviv, Israel; 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.

Задачи: — Поддержка пользователей: оперативное общение с партнерами в корпоративном чате и работа с заявками в тикет-системе. — Диагностика и поиск ошибок: поиск неисправностей в работе ПО, настройках ОС и оборудования партнера. — Анализ логов, работа с базами данных (написание простых запросов). — Сбор статистики и анализ данных из систем мониторинга. — Грамотное оформление тикетов и эскалация задач на разработку. — Взаимодействие с тестовой эксплуатацией и экспертами-аналитиками. Требования: — Опыт работы с текстовыми и структурированными логами. — Опыт работы с БД (MySQL, MS SQL, PostgreSQL). — Опыт диагностики технических инцидентов. — Будет плюсом понимание стека протоколов TCP/IP. — Опыт написания скриптов (powershell, bash). — Базовое понимание основ контейнеризации Docker. — Умение пользоваться инструментами мониторинга (дашборды, Zabbix, Grafana). — Умение общаться с заказчиком и выявлять проблематику. — Пунктуальность, самостоятельность, инициативность, ответственность. Условия: — Гибридный график после испытательного срока — возможность работать из дома или в офисе. — Оборудованные кухни с чаем, кофе, снеками и фруктами. — Спортивные и lounge зоны, душевые, настольный теннис, библиотека, настольные игры. — Отсутствие дресс-кода. — Корпоративная культура с открытым общением и поддержкой. — Возможность влиять на процессы и улучшать продукт. — Доступность руководства и открытая внутренняя политика. Обучение и развитие: — Оценка компетенций и индивидуальный план развития. — Ежегодный перфоманс ревью с рекомендациями. — Частичная компенсация затрат на обучение. — Изучение английского языка 2 раза в неделю. — Доступ к корпоративной библиотеке. — Регулярные мероприятия: шаринги знаний, хакатоны, митапы, турниры. Корпоративная жизнь: — Регулярные интервью и бизнес-мероприятия с руководством. — Работа из любой точки мира с командообразующими мероприятиями. — Поддержка внутреннего информирования и развитие комьюнити. — Спонсорская помощь профильным факультетам и участие в образовательных проектах.

Обязанности: • Руководство работой бригад по ремонту и текущему содержанию пути • Контроль осмотров элементов верхнего строения пути и земляного полотна • Принятие решений о закрытии участков пути или ограничении скорости движения поездов • Оформление первичной документации Требования: • Среднее профессиональное железнодорожное образование («Строительство железных дорог, путь и путевой хозяйство», «Строительство железных дорог, мостов и транспортных тоннелей») • Опыт работы по профессии от 1 года Мы предлагаем: • Официальное оформление • Зарплата 2 раза в месяц • Индексация зарплаты от 2-х раз в год • Удобный график: сменный 30/30 (режим работы – шестидневная рабочая неделя с 08:00 до 20:00 (с перерывом на обед) и 1 выходной день – воскресенье) • Предоставление жилья (отсутствие питания) • Компенсация расходов на оплату проезда к месту работы и обратно • Материальная помощь к отпуску • Выплата единовременного вознаграждения за преданность компании • Компенсация части стоимости занятий спортом • Программы санаторно-курортного лечения и оздоровительного отдыха • Компенсация детских дошкольных учреждений и детского отдыха • Негосударственное пенсионное обеспечение • Корпоративная ипотека (от 4%) • Бесплатный проезд на ж/д транспорте или пролет на самолете к Черноморскому побережью в отпуск 1 раз в год • Расширенная программа ДМС

Задачи: — Поиск и сбор релевантной информации по заданиям команды: компании, конкуренты, лиды, поставщики, партнёры, форумы, отзывы, объявления и другие источники. — Поиск кандидатов, поставщиков и партнёров через LinkedIn, job boards, доски объявлений, профильные форумы и специализированные площадки. — Поиск информации на тематических форумах, в Telegram, Discord и других нишевых сообществах. — Проведение первичного outreach: установление контакта, ведение диалога и получение необходимой информации. — Создание и ведение рабочих аккаунтов на необходимых площадках под конкретные задачи. — Использование инструментов массового поиска, фильтрации, парсинга и базовой автоматизации. — Работа с AdsPower и аналогичными инструментами при необходимости. — Работа с proxy и инструментами для доступа к региональным ресурсам в рамках законодательства и внутренних правил. — Проверка и верификация найденной информации по нескольким источникам. — Работа с большими массивами информации: из большого количества источников выделять 3–7 действительно релевантных и обосновывать выбор. — Подготовка структурированных отчётов: ссылка → краткая выжимка → приоритет → рекомендация. — Передача команде найденных контактов, информации и рекомендаций по дальнейшим действиям. Требования: — Опыт в internet research / sourcing от 1–2 лет. — Опыт OSINT будет большим преимуществом, но не является обязательным. — Сильные навыки поиска информации в интернете, в том числе через нестандартные и нишевые источники. — Уверенная работа с LinkedIn, job boards, досками объявлений, форумами и другими профильными площадками. — Опыт поиска информации через Telegram, Discord и тематические сообщества. — Умение создавать и вести рабочие аккаунты на различных платформах. — Базовое владение инструментами парсинга и автоматизации. — Опыт или понимание работы с AdsPower и аналогичными инструментами. — Понимание принципов работы proxy. — Умение проверять достоверность и актуальность найденной информации. — Сильные аналитические навыки: способность из большого массива данных выделять действительно ценную информацию. — Умение самостоятельно устанавливать контакт, вести диалог и получать необходимую информацию. — Английский — Intermediate+ для работы с англоязычными источниками и ведения переписки. — Ответственность, самостоятельность, внимательность к деталям и соблюдение конфиденциальности. — Гибкость и хорошие коммуникативные навыки.

Задачи: — разработка математической модели кейсов; — расчёт и настройка RTP, EV, House Edge; — расчёт вероятностей выпадения предметов; — variance / volatility и распределение выигрышей; — калибровка вероятностей под заданный RTP; — Monte-Carlo симуляции на 1–10+ млн открытий; — анализ экономики и прибыльности на большой дистанции; — оценка рисков и необходимого банкролла/резерва; — автоматический пересчёт модели при изменении рыночных цен CS2-скинов; — математическая проработка дополнительных игровых механик. Требования: — сильное понимание теории вероятностей и математической статистики; — опыт в iGaming, Game Math, Loot Boxes, Case Opening, RNG или игровой экономике; — будет плюсом: Python / NumPy; — опыт Monte-Carlo моделирования; — практический опыт работы с RTP и House Edge; — понимание экономики CS2-скинов; — примеры реализованных математических моделей. Условия: — долгосрочный проект; — после разработки базовой модели планируется постоянная работа над новыми режимами, механиками и балансом. При отклике нужно прислать кратко: опыт, примеры подобных проектов/расчётов, используемый стек и ориентировочную стоимость работы.

Location: Garching bei München, Germany Workplace: OnSite COMPANY OVERVIEW Founded in 2014 in the Czech Republic, Rohlik is the European leader of e-grocery in Central Europe. Already active in the Czech Republic (Rohlik.cz http://Rohlik.cz), Hungary (Kifli.hu http://Kifli.hu), Austria (Gurkerl.at http://Gurkerl.at), Germany (Knuspr.de http://Knuspr.de), and other markets. By owning its end-to-end operations, including all technology in-house, Rohlik provides a superior customer experience and the freshest food from local farmers and artisans, as well as a broad supermarket selection.   DEPARTMENT OVERVIEW The Facility & Engineering team ensures safe, reliable, and efficient daily operations of fulfillment centers by maintaining infrastructure, equipment, and systems. We minimize operational risks and enable continuous performance through preventive and corrective maintenance.   ROLE OVERVIEW As Technician, you will own the maintenance and reliability of warehouse equipment and infrastructure. You will perform preventive maintenance, resolve breakdowns, and ensure compliance with safety standards. By securing equipment uptime and functionality, you will directly support the smooth operation of fulfillment center processes.   WHAT WE EXPECT FROM YOU - Owns maintenance and repair of technical equipment (automation, conveyors, racks, infrastructure). - Performs preventive and corrective maintenance to minimize downtime. - Ensures compliance with health and safety standards in all facility activities. - Provides input to facility inspections, reporting, and technical documentation. - Supports continuous improvement initiatives to strengthen facility reliability. WHAT WE ARE LOOKING FOR - Proven experience in technical maintenance or facility operations. - Strong problem-solving and crisis-handling ability. - High reliability, attention to detail, and safety awareness. - Willingness to learn and develop new technical skills. - Effective communication skills. - Technical High School Preferred - Degree or diploma in electrical, mechanical, or mechatronics field. - Experience in logistics, manufacturing, or automation environments. WHAT WE OFFER - Direct impact on fulfillment center reliability and operations. - Immediate implementation of your ideas – no waiting for distant approvals. - Freedom from unnecessary corporate processes. - Opportunity to develop technical skills and grow professionally. - Competitive compensation and professional growth opportunities. - A collaborative culture with great people and legendary company events. #LI-AR1 #Knuspr

Location: Москва Команда юридических ИИ-систем и автоматизации правового анализа. Основной стек: Python 3.10+, FastAPI, LangChain / LangGraph, OpenSearch, Redis, Kafka Обязанности * разработка и поддержка промышленных пайплайнов вокруг больших языковых моделей (LLM) — интеграция агентов, RAG-модулей, кэширования и асинхронных очередей * реализация многоагентных систем на базе LangGraph / LangChain — orchestration, routing, memory-модули, логика принятия решений * интеграция LLM API (GigaChat, OpenAI, Gemini, Qwen) и разработка внутренних сервисов общения между агентами * подключение векторных и поисковых движков (OpenSearch, Qdrant) для семантического поиска в юридических документах * разработка внутренних REST/gRPC-API для взаимодействия с фронтом, хранилищем и внешними LegalTech-системами * настройка пайплайнов логирования, трейсинга и мониторинга (Prometheus, Grafana, Loki) * совместная работа с Data Science-командой — внедрение моделей, дообучение и эксперименты в продакшне. Требования * опыт коммерческой разработки на Python 3+ от 3 лет * глубокое понимание асинхронного программирования, многопоточности и очередей сообщений * опыт построения микросервисной архитектуры и REST/gRPC-API * навыки работы с векторными базами данных или поисковыми движками * базовое понимание принципов работы LLM, RAG, агентов и промтинг-пайплайнов. Будет плюсом: * опыт с GraphRAG / LangGraph * знание DevOps-практик (CI/CD, контейнеризация, мониторинг) * опыт интеграции с LegalTech-системами, ML-API или хранилищами нормативных актов * навыки работы с генеративными AI-моделями * опыт создания AI-агентов и использования их в работе будет преимуществом * опыт использования GigaChat, Kandinsky и аналогов в продуктах, навыки создания и использования AI-агентов. Условия * офисный формат работы, после испытательного гибрид обсуждаем * ежегодный пересмотр зарплаты, квартальная и годовая премия * корпоративный спортзал и зоны отдыха * более 400 образовательных программ СберУниверситета для профессионального и карьерного развития * расширенный ДМС, льготное страхование для семьи и корпоративная пенсионная программа * гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ * подписка Прайм с возможностью совместного использования на трёх близких * вознаграждение за рекомендацию друзей в команду Сбера.

Задачи: Администрирование Atlassian: — Поддержка и развитие Jira и Confluence: проекты, схемы, права, роли, группы; — Настройка и доработка workflow: статусы, переходы, условия, валидаторы, пост-функции, экраны и поля под процессы команд; — Настройка кастомных полей, схем уведомлений, автоматизаций (Jira Automation), шаблонов задач; — Поддержание единообразия конфигураций: борьба с расползанием схем и дублирующимися полями, аудит и чистка неиспользуемого; — Установка, обновление и оценка плагинов/приложений Marketplace, контроль их влияния на производительность и лицензии; — Управление пользователями и доступами, интеграция с корпоративным SSO/LDAP, регулярный аудит прав; — Обновления и обслуживание инстансов, планирование работ, бэкапы и проверка восстановления, разбор инцидентов и деградаций производительности; — Настройка интеграций Atlassian с внешними системами: Slack, Git-хостинг, CI, внутренние сервисы; работа с REST API и webhooks; — Поддержка Confluence: структура пространств, шаблоны, макросы, права, навигация и поиск; — Первая и вторая линия поддержки пользователей по Atlassian, написание инструкций и регламентов, обучение команд. Требования: — Опыт настройки и управления Jira/Confluence (плагины, обновления, безопасность). Актуальная версия Jira Data Center 10.3. — Умение собирать требования бизнеса и переводить их в технические решения (плагины, скрипты). — Написание скриптов на Groovy (ScriptRunner) для автоматизации процессов в Atlassian. — Создание и поддержка кастомных плагинов для Jira/Confluence/Bitbucket на Java. — Настройка обмена данными с внешними системами через REST API (включая интеграцию Jira с Metabase и другими системами). — Опыт работы с Metabase – обязательно. — Владение SQL — обязательно. — Общее понимание CI/CD-процессов и роли Jira в них. Требуется понимание, как Jira встраивается в процесс доставки изменений. — Мониторинг, поиск и устранение проблем, оптимизация производительности. — Составление техдокументации, обучение пользователей. Условия: — Формат работы: удаленный. — Загрузка специалиста фултайм. — Гражданство и локация РФ. — Вилка зарплаты: 170-180 тыс. руб.

Требования к опыту: — Высшее техническое образование; — Общий опыт работы от 7 лет в должности системного администратора; — Сертификаты Microsoft; — Знание Linux (преимущество). Технические компетенции: — Экспертные знания Windows Server 2016/2019/2022 (опыт от 5 лет); — Глубокое понимание Active Directory (опыт от 5 лет); — Продвинутое владение PowerShell; — Опыт работы с DNS, DHCP, GPO (от 5 лет); — Продвинутый уровень владения Astra Linux; — Знание Linux-семейства (Debian/Ubuntu/Astra); — Знание протоколов TCP/IP, VLAN, QoS; — Понимание принципов построения сетей; — Опыт работы с системами мониторинга (Grafana, Zabbix, Prometheus); — Знание принципов резервного копирования; — Знание Python и Bash; — Опыт работы с SCCM; — Понимание протоколов OpenID, OAuth, SAML; — Опыт работы с системами контейнеризации; — Опыт работы с VMware vSphere. Обязанности: Администрирование инфраструктуры: — Управление и поддержка Active Directory; — Администрирование серверной инфраструктуры Windows; — Настройка и обслуживание DNS, DHCP, Terminal Server; — Работа с файловыми службами и службами печати; — Поддержка и мониторинг Hyper-V; — Настройка и обслуживание серверной инфраструктуры на базе Astra Linux; — Администрирование Termidesk VM Manager; — Мониторинг производительности СУБД; — Работа с VMware vSphere. Безопасность и управление: — Управление групповыми политиками; — Создание/удаление учетных записей; — Расследование технических инцидентов; — Анализ журналов событий; — Поддержка антивирусной защиты Kaspersky Endpoint Security. Автоматизация: — Разработка скриптов для автоматизации. Условия: — Официальная заработная плата; — Квартальные и годовые премии; — Формат работы — офис в Москве; — ДМС со стоматологией; — Бесплатный спортзал в офисе и другие условия.