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AppQuantum is hiring a Middle+ 3D Generalist / Technical 3D Generalist with 2D skills to join their R&D team full-time. The product is already in development, has shown strong initial metrics, and has promising prospects for future growth. What you’ll work with: — 3D modeling & texturing — Technical Art & Blender → Unity pipeline — Animation & VFX — Unity asset setup and mobile optimization — AI tools and automation — 2D skills will be a strong plus

Location: United Kingdom (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. The Opportunity: Grafana Labs is seeking to grow our Business Value Engineer team and support defining, articulating, and quantifying business value across our products and services. As a member of the business value engineering team, you'll play a critical role in shaping the direction of this high-impact function. What You’ll Be Doing: Customer Insights : Collaborate with customers to uncover new opportunities for growth and profitability through personalized storytelling. Value Quantification : Develop compelling ROI/TCO models that identify value areas driven by new products, emerging trends, and market challenges. GTM Enablement : Enable pre/post sales teams through training, content development and support; ensuring our sales organization is equipped to showcase Grafana's value with customers. Value Storytelling : Partner with cross-functional teams to create a unified narrative that showcases Grafana's value proposition, aligning internal stakeholders and external messaging. Strategic Partnerships : Collaborate closely with Account Executives, Solutions Engineers, Observability Architects to define and articulate the business value of our products and services. What Makes you a Great Fit: Innovative Mindset : Possess a growth mindset, willing to learn new technologies and adapt quickly Value Engineering Expertise : 3-5+ years of experience in value management, consulting, or engineering; deep understanding of building quantitative and qualitative analyses. Data Storytelling Skills : Ability to analyze complex data sets, create compelling customer-facing stories, and communicate findings effectively from technical to executive level audiences. Cross-Functional Collaboration : Experience partnering with GTM leaders (Sales, Customer Success, Marketing & Finance) to define and align on Grafana's value propositions. Bonus Points For: 3+ years of Observability experience, preferably with Open Source tools like Grafana, Prometheus, or Loki Familiarity with the Open Source landscape and community If you're ready for a high-impact role that combines data analysis, storytelling, technology enablement, and partnership-building with cross-functional teams – we'd love to hear from you! Compensation & Rewards: In the UK, the OTE compensation range for this role is  £130,000 - £155,000.  Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Задачи: — развивать ML-решения для рекламной монетизации, персонализации и рекомендаций — вести и менторить Data Science-команду Требования: — 5+ лет опыта в Data Science, желательно в consumer mobile-продуктах — опыт advertising monetization, revenue optimization или advertising analytics — опыт разработки recommendation, personalization или ranking systems — сильные Python и SQL — практический опыт с ML: classification, regression, ranking, forecasting, predictive modeling — понимание A/B-тестирования, applied statistics и работы с большими behavioral datasets — опыт технического лидерства или менторинга Data Scientists Условия: — гибридный формат работы (удаленка с обязательным посещением офиса время от времени) — работа в международной mobile game development-компании — кросс-функциональная работа с Product, Engineering, Analytics и Ad Monetization — возможность формировать Data Science-направление, roadmap и технические стандарты команды — прямое влияние на рекламную выручку, engagement, retention и LTV продукта

Location: London Workplace: OnSite Company Description We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. Job Description About the role Checkout.com http://Checkout.com is looking for an ambitious Staff Data Engineer to join our Data and AI Platform Team. Our team’s mission is to build a platform where you can create reliable, scalable, AI-powered streaming and batch data applications, and share data across Checkout.com http://Checkout.com to improve business performance. The Data and AI Platform team is here to ensure internal stakeholders can easily collect, store, process and utilise data to build AI use cases and data products aiming to solve business problems. Our focus is on maximising the amount of time engineers spend on solving business problems and minimising time spent on technical details around implementation, deployment, and monitoring of their solutions. We're building for scale. As such, much of what we design and implement today is the technology/infrastructure which will serve hundreds of teams and petabyte-level volumes of data. Key Responsibilities - Work with stream processing technologies (Kafka and Flink) to build a continuously available large-scale event streaming platform - Leverage subject matter and technical expertise to provide leadership, mentoring, and strategic influence across the organisation whilst building strong relationships with engineers and engineering managers - Build tooling (modules/SDKs/DSLs) and associated documentation to foster the adoption of the streaming platform by enabling upstream teams and systems to easily publish data and deploy streaming applications - Implement all the necessary infrastructure to enable end users to build, host, monitor and deploy their own streaming applications - Provide consultancy across the technology organisation to drive the adoption of the platform and unlock event-driven use-cases - Participate, translate, run and execute the collection of requirements and architecture/design initiatives into action plans - Provide hands-on support for all event-based systems including incident triage and root cause analysis About You While experience with our specific tech stack is a plus, we welcome candidates with a strong background in data systems who are eager to learn. The core remit of this role is to own and scale our event streaming capability, not to serve as a general DevOps or infrastructure engineer. - Strong presentation and communication skills with a proven track record of influencing engineering organisations - Strong engineering background with a track record of implementing and owning event streaming platforms - Hands-on experience working with stream technologies, ideally Kafka - Experience designing and implementing stream processing applications with Flink - Experience working with cloud-based technologies such as AWS (MSK, S3, Lambda, ECS, SNS) - Experience with Kubernetes (either self-hosted or on the cloud) - Experience with SQL databases - Experience working with Docker, container deployment and management - Experience describing infrastructure as code (Terraform or similar) as well as designing and implementing CI/CD pipelines - Excellent programming skills with at least one of Java or Python Additional Information Bring all of you to work We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one. Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands. We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here. It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. Life at Checkout.com http://Checkout.com We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection. Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us. For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/

Location: Espoo; Warsaw Workplace: Hybrid ROLE HIGHLIGHTS: - Flight Software Deployment Engineer - Location: Warsaw, Poland/ Espoo, Finland - Department: Flight Software Build & Release Team - Reports to: Flight Software Build & Release Team Lead - Employment type: Permanent - Workplace model: Hybrid (3 days in the office) - Employment is subject to applicable security screening (incl. SUPO, where required) WHY THIS ROLE MATTERS: The Build & Release team owns the path from source to flight-ready software across growing satellite constellations. This role exists because every artifact that reaches satellites in orbit must be reproducible, traceable, and verifiable. A bad update is not a simple rollback, it could mean a satellite becomes at risk. This is not a generic SRE or DevOps role, the production environment is composed of satellites flying 500 km above our heads, and the software artifacts are cross-compiled embedded binaries. The role is in the realm of half build engineering and half embedded Linux development, you need to be willing to work at both ends. Satellites are treated to OTA updates regularly which our team must make sure are built and deployed the right way, utilizing software development best practices. WHO WE ARE ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth. ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system. ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future. Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific. YOUR DAY-TO-DAY RESPONSIBILITIES   - Hands on software engineering of our satellite on-board updating system, built to deploy software and firmware updates: features, maintenance, tests and documentation. - Contribute to the build layer across the flight software domain, so every repository is built, versioned and packaged the same way. - Enforce immutable releases and harden the packaging and signing pipelines: least-privilege permissions, pinned workflows and dependencies, approvals, and proper signing key management. - Work with the Linux platform team on how updates land on the satellite on-board computers, covering packaging format, filesystem layout and access control, making sure what we build installs cleanly and safely. WHAT WE’RE LOOKING FOR Must haves: - Embedded software engineering experience, with hands-on embedded Linux development: cross-compilation for ARM or similar targets, kernel configuration, device tree overlays, root filesystem and image construction. - Production CI/CD experience for compiled artifacts, not only containers or web deployments. GitHub Actions specifically is required, and workflow hardening experience is valuable. - Working proficiency in C and C++ build environments, and in Python and Bash for automation. - Experience implementing release integrity controls, immutable artifacts storage. Signing key management, PKI and trust chains, AWS object-lock storage and cloud key management are all valuable here. - Shipping software to embedded devices already in the field with a package-based update mechanism, ideally opkg, under controlled release processes, quality gates and formal sign-of Nice to haves: - Command of CMake, including multi-repository setups, toolchain files, and shared build infrastructure that other teams consume. Buildroot experience is relevant here. APPLICATION PROCESS - Conversation with talent acquisition (~30 min). - Screening with the hiring manager (~60 min). - Technical test - take home task to be completed in 3 to 5 working days. - Technical deep-dive (~90 min). - On-site office visit & director interview (~60 min). WORKING AT ICEYE At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. HOW WE WORK (OUR VALUES) Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. - Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions. - See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others. - Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. - Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. BENEFITS Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process. OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help. Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.

Location: Mumbai WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. THE ROLE: Research is at the core of WorldQuant. Through rigorous exploration and unconstrained thinking about how to apply data to the financial markets, our researchers are in constant search of new Alphas. We strive to understand data in ways our competitors don’t believe is possible. Researchers at WorldQuant employ tested processes seeking to identify high-quality predictive signals that we believe are undiscovered by the wider market. These signals are mathematical expressions of data that are used as inputs in our quantitative models. WorldQuant is seeking an exceptional individual to join the firm as a Quantitative Researcher. The person must have a strong understanding of the investment research process to create computer-based models that seek to predict movements of global financial markets. While prior finance experience is not required, a successful candidate must possess a strong interest in learning about finance and global markets. Candidates will have a research scientist mind-set; be a self-starter, a creative and persevering deep thinker who is motivated by unsolved challenges. ITS IMPACT: As we pursue our goal of creating new Alphas, we need researchers who will lead us there. WorldQuant’s unique investment platform is a leader amongst its peers and the methodology we employ is cutting edge. We desire people who will help us in our relentless pursuit to succeed. WHAT YOU’LL BRING: Ph.D. or M.S. degree from a leading university in a quantitative or highly analytical field (e.g. – Electrical Engineering, Physics, Computer Science, Mathematics, Financial Engineering) Ranked in the top 10% of bachelor’s degree class Demonstrated ability to program in Python and C/C++ on a Unix/Linux platform Excellent problem solving abilities and judgment with a strong attention to detail Mature, thoughtful, with the ability to operate in a collaborative, team-oriented culture Strong English language skills; ability to communicate complex concepts in simple terms Open for all department with GPA score above 8.5 is required By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright © 2025 WorldQuant, LLC. All Rights Reserved. WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

Location: Sydney, Australia About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic’s APAC go-to-market organisation is the fastest-growing part of our international business, spanning markets with distinct languages, cultures and buying styles. Today, enablement for the region is delivered by our global and EMEA teams. As we scale in APAC, we are establishing an initial in-region enablement presence, based in Sydney and supporting the field across the region. As Enablement Lead, you will be hands-on in getting the APAC field ready: onboarding, ongoing skill development, manager coaching support and launch readiness, across GTM functions, not just sales. You will spend most of your time in the room, running sessions, building programmes and working directly with sellers and managers, in the time zones and languages where customer conversations happen. This is a build role with a global spine. You inherit a working global and international enablement engine. Your job is to adapt it for APAC, deliver it across the region, and feed what you learn back into the international and global programme. How we work: adults learn by doing, so we build sessions around live activity: practice, reflection, real customer scenarios. The measure is not what was covered in the room. It is what changes a week later in how people think, decide and sell. This takes creativity and a solid understanding of how adults learn, applied at speed. The frontier moves quickly and the field is scaling fast. Much of the work is unlearning: helping experienced sellers let go of pre-AI habits, not just teaching new ones. AI is what makes this scalable: endless practice partners, personalised scenarios from real deals, feedback minutes after a call. You will use it that way, not to generate more content. Key responsibilities Set up the APAC enablement rhythm: in-region onboarding cohorts, live practice-based sessions in APAC time zones, and a feedback loop into the global programme Adapt the international portfolio for APAC, where content for several markets needs to be written and translated ahead of delivery Personally design and facilitate deal walkthroughs, role-plays and customer-conversation rehearsal, favouring practice over presentation Partner with regional GTM leaders to build a coaching standard that scales as the manager layer grows Own launch readiness for the region, so that when a new model or product ships, the APAC field is certified and conversation-ready in the same week cycle as everyone else Build the measurement habit: track what the field does differently afterwards, not content shipped or attendance Minimum qualifications 8+ years in GTM enablement, sales productivity or similar roles, including experience leading or running enablement programmes Experience delivering GTM enablement in APAC, ideally across more than one of the region’s markets Experience influencing beyond your own team or region, such as a programme adopted elsewhere or a senior stakeholder whose decision you changed Hands-on track record designing and running practice-first enablement, measured by changes in field behaviour A working understanding of how adults learn, and comfort helping experienced sellers unlearn pre-AI habits Creativity with AI in your craft: personalised practice, real-deal scenarios and fast feedback rather than more content Experience owning programmes end to end, from design through delivery and measurement Experience enabling a field across languages and cultures, and knowing what breaks when English-first content ships as-is Comfort working with sales leaders as a peer, including pipeline reviews, deal inspection and forecast conversations Good judgement on when to adapt global programmes and when to adopt them as-is Strong candidates may also Have held both a global and an APAC enablement role Have run enablement delivered across multiple APAC markets Have helped build or scale an enablement function Have carried a quota or led sellers earlier in their career Have enablement experience in AI, developer platforms or technical products sold to both executives and builders Have built manager or coaching programmes, not just individual-contributor enablement Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Espoo Workplace: Hybrid ROLE HIGHLIGHTS: - Staff Product Designer - Location: Espoo, Uusimaa, Finland - Department: Product Management - Reports to: Product Design Director - Employment type: Permanent - Workplace model: Hybrid (3 days / week in office) - Employment is subject to applicable security screening (incl. SUPO, where required) WHY THIS ROLE MATTERS: This is the kind of project designers wait years for. You'll be the design lead and hands-on builder on one of the most exciting products we're working on: a largely greenfield space where AI and LLMs meet serious data intelligence and where the problems are genuinely hard, the kind nobody has solved before, because the product itself is new territory. We can't say much more here (some things we build, we keep quiet about) but if the idea of turning cutting-edge intelligence into something people can actually use makes your fingers itch, this is it. You won't inherit a design system or a roadmap but you'll shape both. And you won't do it alone: we're building a world-class design team from a small core and early hires like you set the bar for everyone who comes after. This role is for a builder, an IC who gets their energy from making things, not managing them WHO WE ARE ICEYE delivers space-based intelligence, surveillance, and reconnaissance (ISR) capabilities to governments and allied nations. This includes sovereign and turnkey ISR missions leveraging ICEYE’s world-leading synthetic aperture radar (SAR) satellite technology, as well as access to data from the world’s largest SAR satellite constellation. These capabilities enable partners to detect and respond to critical changes anywhere on Earth with unprecedented speed and accuracy, day or night and in any weather, supported by ultra high-resolution imagery and high-frequency revisits. As a trusted partner for defense, intelligence, security, and maritime domain awareness, ICEYE’s near real-time data creates a tactical advantage for mission-critical operations. Designed for dual use, the platform also serves civil protection and commercial users for natural-catastrophe intelligence, insurance, maritime monitoring including oil-spill detection, and finance, contributing to global security and community resilience. ICEYE is headquartered in Finland and operates globally across Europe, North America, the Middle East, and Asia-Pacific. We have more than 900 employees, united by a shared vision: improving life on Earth by becoming the global source of truth in Earth Observation. YOUR DAY-TO-DAY RESPONSIBILITIES: - Own design end to end for the product: from fuzzy problem to research to concept to polished, shipped UI. No handoffs, no "that's another team's job." - Get out of the building (or into the ground station). Talk to users regularly, watch how they work and turn what you learn into design decisions everyone can get behind. - Make the complex feel simple. Take AI, LLM and data-heavy workflows and turn them into experiences that feel obvious in hindsight. - Prototype fast and often. Test ideas with real users and real data before we commit engineering time and kill your darlings when the evidence says so. - Work elbow to elbow with engineers, data scientists and product. You're in the room when problems get framed, not just when screens get requested. - Set the design foundations. As one of the first designers on this product, you'll shape the patterns, quality bar and ways of working that everyone after you builds on. - Push the craft. Sweat the details, raise the bar on every release and give (and take) sharp design feedback. WHAT WE’RE LOOKING FOR MUST HAVES: - Your craft is genuinely top-tier and your portfolio proves it. Sharp UX thinking, beautiful execution, obsessive attention to detail. We'll look closely so bring work you're proud of down to the last pixel. - You've designed for data products, ML or AI, and you have opinions about it. You know what makes these experiences tricky and you've wrestled with at least some of it in real work. - You've shipped design work that actually changed something. Adoption went up, churn went down, customers stopped swearing at the product. You can tell us what happened after you hit publish, ideally with numbers. - You're a bit obsessed with users. Nobody has to send you to talk to customers; you're already there, asking awkward questions and coming back with your assumptions rearranged. - You get a kick out of messy, ambiguous problems. There's no playbook here, half the time nobody knows what the answer is yet, and that's exactly where you do your best work. - You own your stuff. The wins, sure, but also the faceplants. You'll tell us what went sideways, what you learned and what you'd do differently, without us having to drag it out of you. - You make things happen without being asked. No design ops, no ticket queue, no waiting for permission. You spot what's needed, rally the right people, and ship. NICE TO HAVES: - You've designed in a properly technical environment, elbow to elbow with engineers or scientists, on systems with real complexity under the hood. - Satellites genuinely excite you. If you've ever fallen down a Wikipedia rabbit hole about Earth observation at 1am, we should talk. APPLICATION PROCESS: - Recruiter screen - Hiring Manager Interview - Portfolio Review - Assignment + Panel interview - CPO interview WORKING AT ICEYE At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. HOW WE WORK (OUR VALUES) Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. - Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the why behind decisions. - See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others. - Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. - Have fun: What we do matters and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. BENEFITS Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process. OUR COMMITMENT TO DIVERSITY, EQUITY, AND INCLUSION We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us and we will do our best to help. Apply now to start your ICEYE journey and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.

СберЗдоровье — аккредитованная IT-компания и одна из крупнейших Digital Health платформ в России. Компания развивает новое направление AI-native продуктов: мобильное приложение, ИИ-помощник, персонализированный риск-профиль и сервисы для улучшения понимания здоровья пользователя. Ищут Middle / Senior Python Backend Developer. Основной фокус роли — backend-сервисы, API, интеграции, работа с данными пользователя и production-контур для AI-сценариев. Роль не связана с ML Engineer или research, а требует сильной backend-инженерии с использованием FastAPI, Pydantic, PostgreSQL, Redis, интеграций, надежности, безопасности и observability. Работа в кросс-функциональной команде с ML, Mobile, Frontend/PWA, QA, SA и Product. Задачи: — Разрабатывать и проектировать backend-сервисы на Python / FastAPI. — Проектировать и поддерживать REST API для мобильного приложения, PWA, риск-профиля и ИИ-помощника. — Описывать и поддерживать контракты API: request/response schemas, validation, error model, versioning. — Работать с Pydantic, PostgreSQL, Redis и при необходимости S3-compatible storage. — Интегрироваться с AI/ML-слоем: n8n-прототипы, FastAPI/FastMCP-сервисы, LLM API, RAG/context, Qdrant, traces. — Строить observability: structured logs, trace/request id, metrics, dashboards, error tracking. — Писать поддерживаемый код, покрывать критичную логику тестами, участвовать в code review и технических обсуждениях. Требования: — Опыт backend-разработки на Python от 3 лет. — Хорошая база в технологиях веба: HTTP, контейнеры, хранение, веб-серверы. — Практический опыт разработки production API на FastAPI, Django, Flask или аналогичном backend-фреймворке; FastAPI будет сильным плюсом. — Уверенное владение Python. — Здравый смысл в использовании ИИ-агентов. — Хорошее понимание PostgreSQL: схемы, связи, индексы, транзакции, миграции, профилирование запросов. — Опыт проектирования REST API и умение договариваться о контрактах с mobile/frontend/SA/QA. — Опыт работы с микросервисами. — Умение писать тесты для критичной backend-логики. — Готовность работать в продуктовой команде с быстро меняющимися требованиями, где API влияет на mobile, PWA и AI-сценарии. Будет плюсом: — Опыт работы с очередями: Kafka/RabbitMQ, Celery. — Понимание зоны ответственности AI/ML и классического Python-сервиса. — Знание AI/ML инструментов и подходов. — Опыт в MedTech, HealthTech, FinTech или других доменах с чувствительными данными. Требуется инженер, который понимает продуктовый сценарий, умеет уточнять требования, думает контрактами, состояниями, ошибками и edge cases, строит надежные интеграции с backend, mobile, PWA и AI-слоем, пишет поддерживаемый код, умеет работать с логами, trace id и production-инцидентами, аккуратно относится к медицинским и персональным данным. Условия: — Возможность строить AI-native health-продукт с нуля. — Быстрый путь от backend-решения до мобильного пользовательского сценария. — Сложные задачи на стыке backend, AI, медицинского контекста и пользовательских данных. — Работа в кросс-функциональной команде с Product, TL, ML, Mobile, Frontend/PWA, QA, SA, DevOps/MLOps и медицинскими экспертами. — Удаленный формат внутри РФ или офис в Москве. — Корпоративная техника. — Медицинская программа с телемедициной, очными приемами, психологами, стоматологией, лабораторными и инструментальными диагностиками. — Оплачиваемые курсы английского языка. — СберУниверситет и оплата профильного обучения и курсов. — Поддержка спорта и wellbeing-программы.

Banco Plata, a technology-driven platform utilizing AI to transform financial services in Mexico, is seeking a Risk Data Scientist at the Middle+ level. The role involves managing the entire machine learning model lifecycle, including development, deployment, and monitoring. Candidates should have over three years of practical experience in Data Science, preferably within banking or financial sectors. A solid understanding of machine learning algorithms and feature engineering is essential. Proficiency in Python, SQL, Airflow, Git, and BI tools such as Streamlit is required. Educational background should be in Mathematics, Physics, Computer Science, or related STEM fields. Effective communication skills in English at a B1 level or higher are necessary. The position is based in Colombia, with relocation assistance provided.

About us: Oki is the largest language-learning app in Central Asia with 800K+ users. It is a fast-growing Silicon Valley startup building a global language-learning product. Creators working directly with the team have generated 400M+ views and gained 400K+ followers on their personal accounts. About position: This role is for those who want to become influencers or build a serious career as creators. The candidate will become one of the recurring faces of Oki's corporate social accounts. The company will provide training and growth opportunities to build accounts to hundreds of thousands of followers within a few months and create videos capable of reaching millions of views. Access to formats, references, systems, and feedback used to grow creators before will be provided. What you'll get: — Paid hands-on creator experience — Training in viral short-form content — Proven hooks, references and formats — Constant feedback from the growth team — Real international accounts to grow — Strong portfolio and case studies — Startup experience on a global product — Potential path to full-time Who we're looking for: — 18+ — Speak at least 2 languages — Natural and confident on camera — Basic filming/editing skills in CapCut, TikTok or similar — iPhone 13 Pro Max, comparable Android flagship or similar-quality camera — Charismatic, energetic and reliable — Genuinely want to grow as a creator/influencer A big following or years of experience are NOT required. To apply, message TG: t.me/Alidar01 http://t.me/Alidar01 with: — Name, age & country/city — Languages + approximate level — Links to your socials, if you have them — Phone/camera model — A few words about yourself Best option: send a 30–60 second vertical intro video telling about yourself. No CV. No long cover letter.

Location: Australia Workplace: Remote At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀 ABOUT THE ROLE ClickUp is hiring a Strategic Solutions Engineer to accelerate partner-sourced and partner-influenced revenue across the APAC region. This role sits at the intersection of enterprise pre-sales, partner enablement, and solution architecture. You will serve as the technical force multiplier that enables upmarket partners (Solution Partners, GSIs, and enterprise resellers) to independently acquire, implement, and expand ClickUp within their customer base, driving ARR growth and net retention.   Your primary mandate is to increase the volume and quality of revenue that flows through partners, working alongside Partner Managers and Account Executives. You are a builder-scaler: standing up enablement programs from a proven playbook, iterating on them, and scaling them to drive repeatable partner-led revenue.   KEY RESPONSIBILITIES - Partner Enablement & Technical Development: Design and deliver structured enablement programs (workflow mapping, narrative decks, AI Agents, AI workflows, business process mapping, competitive positioning), coach partners on discovery, demos, solution design, and pricing, and drive partner certification and self-sufficiency across APAC. - Co-Selling & Revenue: Serve as technical lead on partner-sourced deals from discovery through POC to post-sales handoff, coach partners to run standard deals independently, and tie all activities to measurable revenue outcomes (partner-sourced and partner-influenced iARR, win rate, deal velocity). - Direct Customer Engagement: Support Account Executives on strategic direct opportunities, leading discovery, solution design, demos, and technical evaluations alongside the partner motion. - Partner Acquisition & Development: Lead technical demonstrations and deep-dives for prospective partners, support recruitment as the technical closer, and elevate existing partners by showcasing new platform capabilities that expand their practice opportunity. - AI & Certified Agents: Enable partners to identify, scope, and sell Certified Agent opportunities, deliver AI transformation workshops, and serve as the regional bridge between the internal AI/Agent team and the partner ecosystem. - Events & Marketing: Lead or support partner-driven events (workshops, in-market tours, executive dinners), develop enablement content, and contribute to partner case studies and proof points. - Reseller-Model Support: Support partner-owned billing, procurement, and renewal workflows, enable partners on expansion motions, and coordinate with Professional Services on co-delivery oversight and escalation paths. - Internal Collaboration: Work cross-functionally with Professional Services, Customer Success, Product, Engineering, and global Solutions Engineering teams to resolve technical questions, assist with RFPs, and feed partner insights back into product and process improvements.   QUALIFICATIONS - 8+ years of experience in enterprise pre-sales, solutions engineering, sales engineering, solutions consulting, or a comparable customer-facing technical role. - 2+ years supporting or enabling channel partners, VARs, system integrators, or working in a partner-led go-to-market motion. - Demonstrated ability to build programs from scratch (not just execute existing ones). - Strong presentation, storytelling, and workshop facilitation skills, with the ability to connect product capabilities and technical details to business outcomes for different audiences. - Experience designing or explaining solutions involving APIs, web services, automation, integrations, workflow configuration, or lightweight technical validation. - Strong background in business process mapping, including the ability to analyse, document, and improve complex business processes across diverse environments. - Ability to create credibility with partners, AEs, and customers, handle objections thoughtfully, and act as a trusted advisor. - Hands-on experience with AI & LLMs, integration platforms (Unito, Workato, Zapier, Integromat), web services, and APIs. - Strong commercial judgment, structured problem-solving, and comfort managing multiple concurrent priorities with urgency and limited supervision. - Up to 50% of travel is required for this role. LOCATION - This role is open to candidates across Australia, with Sydney, Melbourne or Brisbane preferred. Equal Opportunity Employer ClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin. Privacy Notice ClickUp collects and processes personal data in accordance with applicable data protection laws. You can find further details by viewing our Global Candidate Privacy Notice. https://clickup.com/careers-terms/candidate-privacy-notice If you are a Philippine Job Applicant, please also see our Philippine Data Privacy Notice https://t333.s.clickup-attachments-stg.com/t333/d9a53ce2-6d2c-48cd-84b1-ed4e525f9613/Philippine%20Data%20Privacy%20Notice_2024.pdf?view=open for further details. Visa Sponsorship Please note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time. Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time. Please reach out to the recruiter with any questions. Fraud Alert ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com. We will never request fees, payments, or sensitive personal information. Please disregard any offers received outside these channels and report them to support@clickup.com. AI Processing Notice ClickUp may use artificial intelligence and machine learning technologies to help review and screen candidates' employment applications against role-related criteria. These tools support, but do not replace, human decision‑making. If you have questions or need an accommodation in the recruitment process, please contact us at AskPeople@ClickUp.com.

Location: Indianapolis, United States; Chicago, United States; Cincinnati, United States; Columbus, United States; West Lafayette, United States; Bloomington, United States Location: Indianapolis, IN Metro (Hybrid / 3-Day Onsite) (Open to Regional/EST Candidates with Onsite Travel) Contract Type: Contractor Full-Time / Enterprise Project Engagement (Outsourced via Xenon7) About Xenon7 Where elite tech talent meets world-class opportunities! At Xenon7, we work with leading enterprise clients and innovative startups on high-impact projects across Data, AI, Cloud, and Software Engineering. Our expertise in AI solution architecture and specialized technical talent allows us to partner with enterprise leaders on transformative initiatives, driving innovation and business growth. Job Summary We are seeking a Senior Machine Learning Engineer with extensive experience in production MLOps, model deployment, and system scaling to drive ML engineering initiatives for a top-tier life sciences client. This role sits at the critical intersection of production ML infrastructure, life science research, and manufacturing process engineering. In this position, you will own the architectural design and hands-on execution of production ML systems, model integration APIs, and scalable MLOps pipelines. You will bridge complex domains—from computational biology, small and large molecule research, and clinical trial analytics to active pharmaceutical ingredient (API) manufacturing processes, batch optimization, and industrial automation ML. Operating in a 3-day onsite hybrid capacity in Indianapolis, you will collaborate directly with process engineers, life science researchers, and platform engineering teams to build robust, low-latency ML systems that scale across the enterprise. Key Responsibilities Production MLOps & Systems Architecture Design, deploy, and maintain robust, production-grade MLOps pipelines and infrastructure for continuous model training, deployment, versioning, and monitoring. Implement automated model drift detection, performance monitoring, and self-healing inference pipelines in high-reliability environments. Process Engineering & Manufacturing ML Integration Operationalize and integrate production ML models into operational technology (OT), API manufacturing workflows, and chemical process control systems. Deploy predictive models for batch processing, process control optimization, real-time quality assurance, and facility automation use cases. Scalable Inference & System Integration Build low-latency, high-throughput microservices and serving architectures (FastAPI, Triton Inference Server, TorchServe) for model deployment into live production applications. Containerize and orchestrate ML workloads across distributed cloud and edge systems using Kubernetes, Docker, and modern pipeline engines (Kubeflow, MLflow). Technical Leadership & Domain Alignment Partner directly with chemical engineers, computational biologists, and software architects to translate operational friction into production-ready ML engineering solutions. Establish enterprise MLOps standards, model governance, and CI/CD best practices across the full machine learning operational lifecycle. Requirements Experience & Mindset Experience: Senior-level proficiency (10–20+ years) in software engineering, MLOps, production ML system deployment, and infrastructure scaling. Domain Adaptability: Demonstrated ability to deploy and maintain production ML systems across non-standard, highly specialized domains (e.g., transition between process/chemical engineering ML and clinical/scientific research applications). Location & Work Auth: Must hold unrestricted US Work Authorization (no sponsorship available) and be able to work 3 days per week onsite in the Indianapolis, IN area. Culture & Communication: Pragmatic problem-solving mindset, strong collaborative drive, and the ability to articulate complex MLOps architecture to cross-functional engineering teams. Must-Have Technical Stack Languages & Frameworks: Advanced Python, C++, and deep proficiency with PyTorch, TensorFlow, or Scikit-learn. MLOps & Serving: Proven expertise with Triton Inference Server, TorchServe, MLflow, Kubeflow, or Databricks ML runtime. Infrastructure & Orchestration: Hands-on expertise with Kubernetes, Docker, CI/CD pipelines, FastAPI/gRPC, and cloud platform ecosystems (AWS/Azure). Monitoring & Integration: Experience building real-time model monitoring, feature stores, drift detection systems, and integration with enterprise data pipelines. Domain Competency (Scientific & Process Focus) Deep exposure to applying ML models in either scientific/clinical domains (drug discovery, small/large molecule, computational biology) OR chemical/process engineering environments (API manufacturing, batch processing, SCADA/MES integration, process optimization). Nice-to-Haves & Certifications Academic background in Chemical Engineering, Bio-process Engineering, Computer Science, or a related STEM discipline. Direct experience operationalizing ML models inside regulated GxP environments in the Life Sciences or Specialty Chemicals sectors. Certifications: AWS Certified Machine Learning – Specialty, Databricks Certified Machine Learning Professional, or equivalent MLOps credentials. What This Role Is NOT Not a Data Scientist or Exploratory R&D Specialist: You will not be focusing on exploratory data analysis, academic algorithms, or standalone Jupyter notebook modeling; you are building, scaling, and maintaining production MLOps pipelines, inference engines, and model integration code. Not a non-coding Architect: This is a 100% hands-on MLOps and software engineering lead role requiring direct model deployment, infrastructure creation, and technical execution. Not a Fully Remote Position: This role requires a steady hybrid commitment of 3 days onsite per week at the client site in Indianapolis.

Location: Indianapolis, United States; Chicago, United States; Cincinnati, United States; Columbus, United States; West Lafayette, United States; Bloomington, United States Location: Indianapolis, IN Metro (Hybrid / 3-Day Onsite) (Open to Regional/EST Candidates with Onsite Travel) Contract Type: Contractor Full-Time / Enterprise Project Engagement (Outsourced via Xenon7) About Xenon7 Where elite tech talent meets world-class opportunities! At Xenon7, we work with leading enterprise clients and innovative startups on high-impact projects across Data, AI, Cloud, and Software Engineering. Our expertise in AI solution architecture and specialized technical talent allows us to partner with enterprise leaders on transformative initiatives, driving innovation and business growth. Job Summary We are seeking a Senior Data Engineer with extensive experience in data architecture and platform engineering to drive data initiatives for a top-tier life sciences client. This role sits at the critical intersection of scientific research informatics, clinical data systems, and manufacturing process engineering. In this position, you will own the architectural vision and hands-on execution of scalable data platforms and pipelines. You will bridge complex data domains—from small and large molecule research, genomics, and clinical trial datasets to active pharmaceutical ingredient (API) manufacturing processes, batch data, and industrial control systems. Operating in a 3-day onsite hybrid capacity in Indianapolis, you will collaborate directly with process engineers, clinical scientists, and platform teams to build high-performance data infrastructure that accelerates drug discovery and manufacturing operations. Key Responsibilities Scientific & Clinical Data Platform Architecture Design, build, and maintain production-grade data pipelines and architecture tailored for scientific, clinical trial, and research informatics data (small/large molecule, genomics, proteomics, LIMS). Structure complex, multi-modal clinical and scientific datasets to enable advanced analytics, enterprise reporting, and downstream machine learning models. Process Engineering & Manufacturing Integration Ingest, harmonize, and model operational technology (OT) and manufacturing process datasets, including API manufacturing pipelines, batch processing data, MES, SCADA, and OSIsoft PI systems. Unify disparate laboratory and facility data pipelines into centralized, highly available enterprise data platforms. Enterprise Data Engineering & Compliance Build robust ETL/ELT pipelines using modern cloud platforms (Databricks, Snowflake, AWS/Azure), PySpark, and SQL. Ensure all data pipelines and platform integrations strictly adhere to enterprise governance, data residency, and GxP regulatory standards within a heavily monitored environment. Technical Leadership & Domain Alignment Partner directly with process engineers, chemical engineering leads, and research informatics directors to translate operational friction into robust technical specifications. Establish engineering best practices, data modeling standards, and pipeline monitoring frameworks across the enterprise data stack. Requirements Experience & Mindset Experience: Senior-level proficiency (10–20+ years) in software development, data platform architecture, and complex ETL/ELT engineering. Domain Adaptability: Demonstrated ability to engineer data pipelines across non-standard, highly specialized domains (e.g., transition between process/chemical engineering data and clinical/scientific research informatics). Location & Work Auth: Must hold unrestricted US Work Authorization (no sponsorship available) and be able to work 3 days per week onsite in the Indianapolis, IN area. Culture & Communication: Exceptional problem-solving mindset, strong adaptability, and the ability to articulate complex technical architecture to cross-functional engineering teams. Must-Have Technical Stack Languages & Frameworks: Advanced Python, PySpark, and expert-level SQL. Data Platforms: Hands-on expertise with Databricks, Snowflake, or AWS/Azure enterprise data ecosystems. Orchestration & ETL: Extensive experience with Airflow, dbt, Spark, and enterprise data orchestration engines. Data Pipelines: Proven track record building streaming and batch data architectures via REST APIs, message brokers, and database integrations. Domain Competency (Scientific & Process Focus) Deep exposure to either scientific/clinical informatics (CDISC/SDTM, LIMS, clinical trials, multi-omics) OR chemical/process engineering data (API manufacturing, batch data, SCADA, MES, OSIsoft PI). Nice-to-Haves & Certifications Academic background in Chemical Engineering, Bio-process Engineering, Computer Science, or a related STEM discipline. Direct experience working inside regulated GxP environments in the Life Sciences or Specialty Chemicals sectors. Certifications: Databricks Certified Data Engineer Senior/Professional, Snowflake SnowPro Core/Advanced, or AWS Data Engineer Associate/Professional. What This Role Is NOT Not a pure Data Scientist or ML Researcher: You will not be building or training machine learning models; you are designing and scaling the underlying data architecture, pipelines, and platform infrastructure. Not a non-coding Architect: This is a 100% hands-on engineering lead role requiring direct pipeline construction and technical execution. Not a Fully Remote Position: This role requires a steady hybrid commitment of 3 days onsite per week at the client site in Indianapolis.

Команда SberNBA занимается тремя большими направлениями: платформа коммуникаций и персональных предложений Сбера, поведенческая foundation model человека, бизнес направление коммуникаций от потребности клиента. Цель команды – сделать управление коммуникациями проще и эффективнее за счет гибкости платформенных инструментов и GenAI, моделировать поведение человека на краткосрочном и долгосрочном горизонте и использовать эти данные в бизнес-процессах банка, помогать человеку закрывать потребности быстрее и проще. Обязанности: — развивать команду и компетенции трайба на уровне DS экспертизы; — строить, развивать и реализовывать стратегию развития трайба в части ML/AI; — участвовать в создании кампейн платформы нового поколения, основанного на агентах; — развивать системы генерации персонализированного контента; — развивать Foundation Model (трансформерная модель понимания клиента на основе его действий в банке и экосистеме Сбера) и рекомендательные модели. Требования: — 10+ лет в DS / 5+ лет в промышленных RecSys в крупных компаниях; — интеграция LLM в RecSys (RAG / генерация текста офферов); — опыт управления командой 10+ DS и развития ML экспертизы на уровне подразделения; — успешный опыт реализации сложных и масштабных ML проектов с доказанным бизнес-эффектом; — хорошие коммуникативные навыки, готовность договариваться и находить оптимальные решения; — стратегическое мышление; — амбициозность и ориентация на бизнес-результат. Условия: — комфортный современный офис рядом с м. Кутузовская; — ежегодный пересмотр зарплаты 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: — Поддержание текущей аналитической отчетности отдела закупок; — Подготовка аналитических отчетов для руководства по требованию: сбор информации, анализ данных и их интерпретация, необходимая визуализация, практические рекомендации; — Автоматизация процесса импорта и обработки данных из разных источников; — Разработка автоматизированных аналитических отчетов; Требования: — Высшее образование; — Релевантный опыт работы от 3 года; — Высокие аналитические способности; — Навыки работы с большими объемами данных; — Уровень владения Excel: Power Query, Power Pivot & Data Model; — Навык написания SQL-запросов прямо в Excel (через Power Query или подключение к БД); — Работа с OLAP-кубами; — Опыт разработки макросов на VBA для автоматизации рутинных операций как плюс; Условия: — Официальное трудоустройство по ТК РФ с первого дня; — Современный офис в шаговой доступности от м. Динамо и м. Петровский Парк (БЦ Монарх); — График работы 5/2 с 09:30 до 18:00, офисный формат; — Полис ДМС после прохождения испытательного срока; — Конкурентная заработная плата; — Профессиональный и карьерный рост внутри компании; — Корпоративные мероприятия и программы поддержки здорового образа жизни; — Корпоративные скидки у партнеров компании;

Задачи: — Проектирование и разработка CoinJoin-протокола и transaction flow. — Формирование, проверка и подписание Bitcoin-транзакций. — Работа с UTXO, PSBT, SegWit и Taproot. — Интеграция с Bitcoin Core через RPC. — Реализация coin selection и fee estimation. — Работа с sighash и различными сценариями подписания транзакций. — Реализация multisig / threshold-signature сценариев там, где они необходимы архитектуре. — Обработка особенностей mempool, propagation, replacement и подтверждения транзакций. — Проектирование системы с учетом non-custodial модели: сервис не должен получать контроль над средствами пользователей. — Участие в threat modeling и техническом аудите протокола совместно с security engineer. — Code review и принятие ключевых архитектурных решений по Bitcoin-части проекта. Требования: — Глубокое понимание Bitcoin protocol и UTXO-модели. — Практический опыт работы с Bitcoin Core и Bitcoin Core RPC. — Уверенное понимание структуры Bitcoin-транзакций. — Опыт работы с PSBT. — Хорошее понимание SegWit и Taproot. — Понимание sighash и механики подписания Bitcoin-транзакций. — Опыт реализации или использования fee estimation и coin selection. — Понимание устройства Bitcoin mempool и жизненного цикла транзакции. — Опыт разработки на одном или нескольких языках: Rust, C++, Go, Python. — Опыт проектирования надежных backend/protocol-систем. Будет большим плюсом: — Опыт разработки Bitcoin Core или непосредственной работы с его кодовой базой. — Опыт с rust-bitcoin, BDK или аналогичными Bitcoin-библиотеками. — Опыт разработки CoinJoin, JoinMarket-подобных или других privacy-oriented Bitcoin-протоколов. — Опыт построения non-custodial Bitcoin-сервисов. — Опыт с multisig, threshold signatures и современными схемами управления ключами. — Понимание privacy-модели Bitcoin и методов blockchain analysis. Что важно в этой роли: Мы ищем не просто backend-разработчика, который когда-то интегрировал криптовалютный API. Нужен инженер, который понимает Bitcoin на уровне протокола и способен самостоятельно принимать решения по архитектуре транзакций, подписям, UTXO и взаимодействию с Bitcoin Core.

Location: Serbia Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry’s digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity. We are looking for a Pricing Engineer to support our Sales and Engineering teams. In this role, you will analyze CAD models and technical drawings, assess manufacturability, calculate costs, and provide DFM feedback to ensure accurate and timely quoting for our customers. This position combines deep technical expertise in manufacturing processes with strong analytical and communication skills. How You’ll Contribute: Analyze drawings and CAD models (in English) Calculate manufacturing costs (materials, machining hours, post-processing) Provide recommendations on manufacturing processes where needed Document and transfer calculations to the Sales/Commercial team Review 3D models and 2D drawings for quoting and manufacturability feedback Organize RFQs and clarify details with Sales and Engineering teams Maintain quote databases and ensure timely updates Deliver high-quality and accurate quotes ideally within 1–2 working hours Support process automation initiatives and workflow optimization What You’ll Bring to Xometry: Education: Higher technical education (Mechanical/Manufacturing Engineer, Process Engineer, or similar) Experience: 6+ years of experience in metalworking / mechanical engineering Technical Expertise: Expert knowledge of machining and fabrication processes – turning, milling, CNC machining, EDM, laser/waterjet/plasma cutting, sheet metal processing, and welding Post-Processing Knowledge: Understanding of post-processing methods – polishing, hardening, heat treatment, anodizing, sand/shot blasting, coatings, and painting Materials Knowledge: Knowledge of different materials (metals, plastics, composites) and their processing properties Language: English level B2+ Customer Focus: Customer-oriented mindset and ability to clearly explain technical details Attention to Detail: Strong attention to detail and ability to work under time pressure Technical Fluency: IT-enthusiast, ready to adopt modern tools and software (CAD/CAM, CRM, cloud systems) Core Technical Expertise: Technical drawing interpretation – proficiency 5/5 Tooling & fixture design for machining, assembly, and welding – proficiency 3/5 Manufacturing processes expertise (laser/waterjet cutting, turning, milling, grinding, EDM, sheet metal fabrication) – proficiency 5/5 Coatings and heat treatment – proficiency 3/5 Labor intensity and manufacturability assessment – proficiency 5/5 CAM programming for CNC (SolidWorks, Fusion 360, CypCut) – proficiency 3/5, with readiness for further training Work Conditions: Full-time remote work (home office) Flexible schedule aligned with CET Company-provided desktop PC and monitor Stable high-speed internet and comfortable workspace required Holiday Calendar: EU or local holiday #LI-Remote Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. Please read our privacy policy here.