Вакансии

Location: Fort Bragg, NC, United States Job Title Modeling and Simulation Specialist Why IDS? IDS believes in resolving conflict, building innovative approaches to do so. Combining operational expertise with an intimate understanding of today’s greatest challenges, we bring our customers the solutions required for success in a complex and multidimensional world. IDS tailors solutions for a diverse range of government, military, nonprofit, and public-sector clients. Locations Fort Bragg, NC Shifts Available Please note, candidates must be flexible. Shift times are general hours; some projects may require earlier or later reporting based on customer requirements. Job Description IDS is seeking a Modeling and Simulation Specialist to support mission training and exercise requirements through the development of modeling and simulation scenarios. The selected candidate will support virtual and constructive simulation environments, terrain development, and scenario creation in support of Army Mission Command and Live, Virtual, Constructive, and Gaming (LVCG) systems. Key Duties • Develop scenarios using Virtual Battle Space (VBS) 4. • Build three-dimensional terrain databases and entity objects. • Support constructive and virtual computer simulations. • Perform video editing and author modeling and simulation scenarios. • Support Army Mission Command and LVCG systems. • Support modeling and simulation development activities. Requirements • Secret clearance. • Associate degree. Four years of related military experience may substitute for academic degree. • Two years of experience developing scenarios with Virtual Battle Space (VBS) 4. • Familiarity with building three-dimensional terrain databases and entity objects using a variety of software. • Experience with constructive and virtual computer simulations, video editing, and authoring of modeling/simulation scenarios. • Knowledge of Army Mission Command and/or Live, Virtual, Constructive and Gaming (LVCG) Systems. • Knowledge of at least one object-oriented programming language such as Java, C++, or .NET. • Knowledge of military operational concepts. Preferred Qualifications • Ability to work with self-initiative after receiving initial task guidance. • Ability to follow project schedules and meet designated completion dates. • Comfortable working as a member of a Modeling/Simulations team, accepting guidance and providing recommendations based on project analysis. Compensation • Competitive Hourly Pay • Benefits

Location: Fort Bragg, NC, United States Job Title Modeling and Simulation Support Lead Why IDS? IDS believes in resolving conflict, building innovative approaches to do so. Combining operational expertise with an intimate understanding of today’s greatest challenges, we bring our customers the solutions required for success in a complex and multidimensional world. IDS tailors solutions for a diverse range of government, military, nonprofit, and public-sector clients. Locations Fort Bragg, NC Shifts Available Please note, candidates must be flexible. Shift times are general hours; some projects may require earlier or later reporting based on customer requirements. Job Description IDS is seeking a Modeling and Simulation Support Lead to support mission training and exercise requirements through the development of modeling, simulation, terrain, and media products. The selected candidate will provide leadership for simulation activities, support virtual and constructive simulation environments, and oversee terrain and media development efforts. Key Duties • Support Army modeling and simulation activities. • Utilize Adobe Premiere, After Effects, and Terra Vista Dart or equivalent terrain creation/authoring software. • Support virtual and constructive computer simulations. • Perform video editing and author simulation-specific scenarios. • Provide leadership and supervision of simulation support personnel. • Support media and terrain development requirements. Requirements • Secret clearance. • Bachelor’s degree. • In-depth knowledge of Army Modeling and Simulation concepts. • In-depth knowledge of Adobe Premiere, After Effects, and Terra Vista Dart or equivalent Terrain Creation/Authoring Suite. • Effective leadership and supervisory skills. • Experience supervising personnel. • Two years of experience with virtual and constructive computer simulations, video editing, and authoring of specific simulation scenarios. Preferred Qualifications • Two years of supervisory experience of a media/terrain modeling development team focusing on constructive and virtual simulations. Compensation • Competitive Hourly Pay • Benefits

Location: Remote; Europe; New York Workplace: Remote ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE ElevenCreative brings together leading image and video models alongside our own audio models, so our users can make everything they need in one place. We are looking for someone to own our relationships with the model providers who make that possible, starting with video. You will be the main point of contact for our model partners, help bring new models to ElevenCreative, and build partnerships that are good for our partners, our users, and our business. You will work closely with product, engineering, finance, marketing, and sales. This is a green-field role. You will define how we work with model partners as the ecosystem grows. IN THIS ROLE YOU WILL - Build and manage relationships with image and video model providers. - Identify and evaluate new partners and models to bring to ElevenCreative. - Own the commercial side of our partnerships, working closely with finance. - Drive marketing including joint launches, campaigns, and co-marketing. - Work with product and engineering to shape which models we offer and when. - Support enterprise sales on partnership needs for large customers. - Stay close to the generative video landscape and the models creators and marketers want next. WHO YOU ARE We are looking for someone who combines strong partnership skills with sound commercial judgment. You will thrive in this role if you: - Have 5+ years of experience in partnerships, business development, or commercial roles at a technology company, ideally in AI or infrastructure. - Have deep familiarity with the generative AI model landscape. - Are comfortable with numbers and can connect partnership decisions to business outcomes. - Can manage several partner relationships at once and build trust with senior stakeholders. - Have worked cross-functionally with product, engineering, finance, and marketing. - Can operate with US and European timezone overlap, with flexibility for partners in Asia. - Thrive in fast-moving environments where you define the playbook rather than follow one. BONUS - Experience working with AI model or API providers. - Familiarity with usage-based or credit-based pricing. - Experience running co-marketing or channel partnerships. LOCATION This role is remote. The team operates across US and European time zones, so the ability to maintain meaningful overlap with both is important. #LI-Remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

Location: Singapore About Cantina: Cantina Labs is a social AI company, developing a suite of advanced real-time models that push the boundaries of expression, personality, and realism. We bring characters to life, transforming how people tell stories, connect, and create. We build and power ecosystems. Cantina, our flagship social AI platform, is just the beginning. About the Role: Cantina is looking for a Member of Technical Staff to join our growing Singapore research team. In this role, you will shape the data and evaluation strategies behind our video generation models. You will own the full data lifecycle—from defining data requirements and annotation standards to building high-quality datasets, evaluating model outputs, and translating findings into actionable recommendations for model improvement. You will work closely with research scientists, machine learning engineers, product teams, and external data partners to strengthen the data–model–evaluation feedback loop. What You’ll Do - Define quality standards for video generation across aesthetics, realism, composition, motion, temporal consistency, instruction following, subject consistency, editing preservation, and text rendering. - Evaluate model iterations, analyze failure patterns, and translate findings into actionable data, training, and prompting strategies. - Own end-to-end training data projects, including sourcing, construction, annotation, captioning, quality control, and delivery. - Develop labeling systems that support dataset segmentation, coverage analysis, quality filtering, training-data mixtures, and model performance attribution. - Design annotation and captioning standards for video generation, editing, and multi-reference tasks. - Create and evaluate synthetic-data workflows based on their stability, usability, quality, and training value. - Develop automated annotation and filtering workflows using vision-language models, system prompts, and quality-scoring models. - Build structured model evaluation processes covering test-set design, evaluation criteria, failure attribution, and reporting. - Establish feedback loops connecting model evaluation and negative-case analysis with data strategy and model iteration. - Train and calibrate annotation teams and external data partners, conduct quality audits, and improve delivery standards. - Partner with research, engineering, product, and creative teams to execute data initiatives and identify future model capabilities. What You’ll Bring - Hands-on experience in data strategy, dataset development, annotation, or model evaluation for generative image, video, or multimodal models. - Experience supporting model development across continued training, supervised fine-tuning, post-training, or evaluation. - Strong understanding of generative media tasks, including image and video generation, multimodal generation, and instruction-based editing. - Experience developing labeling taxonomies, annotation guidelines, captioning standards, quality thresholds, and evaluation frameworks. - Strong visual judgment and the ability to translate subjective quality expectations into measurable data and evaluation standards. - Experience managing large-scale data-production or annotation projects and collaborating with research, engineering, creative, and external partner teams. - Familiarity with automated captioning, synthetic-data generation, vision-language models, prompt design, Python, SQL, or other data and workflow automation tools is a plus. Benefits We Offer: - Competitive salary and generous company equity - Personal time off and paid holidays - Health insurance - Global travel insurance: Covers you when traveling internationally - Monthly spending stipend: $500 (~S$635) - Equipment: All equipment needed for your home office

Location: Remote; Seattle, WA; New York, NY; San Francisco, CA Workplace: Remote We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. *Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers. ABOUT THE ROLE *Open to hiring remote across the US — we also have offices in New York, San Francisco, Seattle, London, Paris, and Tel Aviv. Runway is rapidly building the leading ecosystem of generative models, bringing the best models from AI labs around the world to our users alongside our own. We are looking for an IC to source, activate, and scale relationships across Runway's growing portfolio of model partners. This is a role for someone who wants to own whatever needs owning, take new models from first conversation to launch, and write the playbook where none exists yet. You will work closely across Engineering, Product, Legal, Finance, and Marketing. WHAT YOU'LL DO - Own a broad portfolio of model partners end to end, across modalities - Track the model landscape relentlessly: spot new labs and releases early and bring the strongest ones to the team as candidates for integration - Take new partners from zero to launched: source, structure and negotiate commercial terms, then close with Legal and Finance - Be the partner's main point of contact through launch, working closely with our engineering team - Build deep, trusted relationships with founders, BD leads and research teams at our partners, and turn those relationships into early access, better terms and joint launches - Run the portfolio with rigor: set check-in cadences, monitor relationship health, and spot and escalate risk early - Track usage, spend and margin by partner and model, and use that data to decide where to invest, renegotiate or step back - Partner with Marketing and our partners on co-marketing for model launches - Build the frameworks and tools that let the function scale as the ecosystem grows WHAT YOU'LL NEED - 5+ years of experience across some combination of partnerships, business development, GTM, consulting, or founding/operating, with a track record of having owned outcomes end to end - Experience negotiating commercial agreements, ideally usage-based, API or platform deals - Genuine obsession with generative AI: you know the labs, you try new models the day they ship, and you have opinions on what makes one good - Demonstrated range: you've done the deal and the integration and the launch - High technical aptitude for understanding complex technologies, tools, systems, and issues - Strong analytical capabilities, with the ability to turn usage and spend data into a clear recommendation - Ability to manage many relationships and priorities at once in a fast-paced environment without dropping threads - Clear, concise communication, from a startup founder to a big-lab partnerships team to a Runway engineer in the same day - A strong bias towards action and belief that no task is too small for you - Highly resourceful, with the ability to create structure and work autonomously amid ambiguity - New York-based preferred Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. WORKING AT RUNWAY Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator https://runwayml.com/world-simulator.html - GWM-1 https://runwayml.com/research/introducing-runway-gwm-1 - Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5 - General World Models https://runwayml.com/research/introducing-general-world-models - Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section - Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section - Runway Studios https://runwayml.com/studios We're excited to be recognized as a best place to work: Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024

Location: United Kingdom; India; Germany; United States About Huzzle Labs Huzzle Labs partners with frontier AI labs to evaluate and improve frontier models through deep human expertise. Contributors directly assess advanced AI systems in their specialist fields, receive competitive compensation, and help define the standards used to measure model performance. About the Role Huzzle Labs is seeking experienced accountants to write realistic accounting tasks that test how well frontier AI systems handle accounting work. You will create prompts that are difficult enough for a frontier model to fail, then write a scoring rubric for each task so reviewers can assess the output consistently. A rubric is a list of objective, checkable criteria that a reviewer marks pass or fail. Your judgement helps define the standards used to measure model performance. This is an expert judgement role focused on realistic task design, careful review of model output and precise, consistent documentation. Training is provided. Prior AI training or data-annotation experience is required. Responsibilities Write realistic accounting tasks: Create requests of the kind a client, controller or business owner would send, covering month-end close, bank and credit card reconciliations, AR/AP ageing, accruals and adjusting entries, sales tax, job costing and the clean-up of incomplete or inconsistent books. Build from real material: Review a deal room containing hundreds of files, select the relevant documents and use them to develop prompts and rubrics for tasks a frontier model struggles to complete correctly. Require usable deliverables: Each request should call for a working output, usually a spreadsheet, a journal entry schedule or a short memo. Test against a frontier model: Run each request and review the output with the care you would apply when signing off accounting work. Where the model succeeds, increase the difficulty until a genuine gap appears. Write scoring rubrics: Define objective criteria that another reviewer can apply without repeating your work, for example, “the reconciled ending balance equals $X” and “the $X deposit is recorded as a customer deposit liability, not revenue.” Apply guidelines consistently: Follow the task and rubric guidelines, flag ambiguous cases and help refine the criteria. Requirements At least 5 years in accounting, bookkeeping or finance operations. Prior AI training or data-annotation experience is required. Hands-on knowledge of month-end close, reconciliations, AR/AP, accruals and adjusting entries, sales tax and job costing. Excellent written English and precision with numbers. Careful and detail-oriented: accurate figures and objective, checkable criteria. Available 20 to 40 hours per week for an initial one-week trial, with potential extension. Example Assignment For a client deal room covering a small business with incomplete and inconsistent books, you would: Review the files and select the relevant documents, such as bank statements, ledgers, invoices and ageing reports. Write a prompt as the business owner or controller would, asking for a reconciliation and the adjusting entries needed to close the month. Run the prompt against a frontier AI model and check the spreadsheet or journal entry schedule line by line. If the model completes the task correctly, increase the difficulty, for example, by adding a customer deposit, a timing difference or a sales tax complication, until it fails. Write the rubric, such as “the reconciled ending balance equals $X” and “the $X deposit is recorded as a customer deposit liability, not revenue,” so another reviewer can grade any answer without repeating the work. Confidentiality An NDA must be signed before the engagement begins. Benefits Compensation: $60 - $90 USD / hour

Location: Dubai, United Arab Emirates; Abu Dhabi, United Arab Emirates; Sharjah, United Arab Emirates; Ajman, United Arab Emirates; Al Ain, United Arab Emirates; Fujairah, United Arab Emirates Apt Resources is looking for a Junior SOLIDWORKS Designer for our client in Dubai. The ideal candidate will have a background in 3D modeling and familiarity with SOLIDWORKS, supporting the engineering team with 3D models and technical design tasks. This position is suitable for a junior candidate with a technical background who is eager to develop practical skills in 3D modeling and engineering design. Key Responsibilities Create and modify 3D models using SOLIDWORKS. Assist with preparing and updating technical drawings and design files. Support the engineering team with 3D modeling and design-related tasks. Make revisions to models based on technical instructions and feedback. Maintain organized design files and documentation. Follow established modeling standards and project requirements. Requirements Basic knowledge of SOLIDWORKS and 3D modeling. Relevant educational background in Mechanical Engineering, Drafting, CAD Design, or a related technical field. Ability to understand and follow technical instructions. Good attention to detail and willingness to learn. Ability to work full-time on-site in Dubai. Junior candidates with a relevant 3D modeling background are welcome to apply. Benefits Salary: AED 5,000 to AED 10,000 per month, depending on experience and qualifications.

Location: Valencia Workplace: OnSite ROLE HIGHLIGHTS: - Software Engineer, Simulation and Modeling - Location: Valencia - Reports to: Reports to: Laboratory Lead & Test Architect - Employment type: Permanent - Workplace model: Hybrid - Employment is subject to applicable security screening (incl. SUPO, where required) WHY THIS ROLE MATTERS: As a Software Engineer, Simulation and Modeling, you’ll build the software world the satellites live in (orbits, emitters, signals, truth and scoring) so the whole team can ask “what if” and get a number back. ICEYE is building a space-based RF constellation covering 100 MHz to 30 GHz alongside its SAR fleet, and the Experimentation Lab in Valencia is where we develop, simulate and validate that capability. Customers and our own engineers ask questions we currently answer by hand-waving: what revisit a cluster gives over an area, how many emitters we detect in a crowded scene, how geolocation accuracy moves with cluster spacing or timing error, and what a next-generation architecture choice buys. The answers need a simulation framework that models the constellation and the emitters end to end, generates the signals each satellite would see, and scores what comes out against a known truth. It doesn’t exist yet. You’ll build it, and it will become a tool used by engineers, analysts and customer-facing staff. You’ll work daily with the lab, signal processing and ground segment teams, and you’ll have direct influence on how ICEYE builds and proves this capability. 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   - Model the constellation: orbit propagation, cluster geometry, attitude and pointing, antenna beams, access and contact windows, with spacing and timing as swept variables. - Model the emitters and the theatre: emitters as state machines with real antenna patterns, scan behaviour, modes and duty cycles, placed at order-of-battle density. Start from the lab’s real captures and extend synthetically. - Generate the signals: propagation and link modelling (path loss, delay, Doppler, ionosphere in the low band) and synthetic I/Q per satellite, at a fidelity the RF hardware and the processing chain can consume. - Own the truth together with the processing team: a truth ledger of every simulated emission, position and time, kept out of reach of the system under test, plus the association and scoring that turn a run into detection rate, false-alarm rate, geolocation accuracy and latency. - Drive the hardware together with the RF team: provide the geometry and timing the channel simulator and playback hardware need, so a recorded radar can be heard by three simulated satellites with the right delays and Doppler. - Make it a platform: versioned scenarios, seeded and reproducible runs, provenance on every result, tests, CI, documentation and an interface that non-authors can use. - Answer real questions: capacity, revisit and performance studies for the payload, product and sales teams, and architecture trades for future generations. WHAT WE’RE LOOKING FOR Must haves: - Strong software engineering in Python (and ideally a compiled language): clean architecture, version control, testing, code review, packaging - Experience building a simulation or model of a physical system that others used, and validating it against measurement or real data - Numerical and scientific computing: NumPy/SciPy or equivalent, vectorisation, performance awareness - Working knowledge of at least one of orbital mechanics and access computation, RF link budgets and propagation, or signal processing - Habits that make results reproducible: seeds, configuration management, data provenance - Clear written and spoken English Nice to haves: - Constellation, mission or system-level modeling and simulation (STK, Orekit, GMAT, Basilisk or in-house) - Radar, EW or emitter modeling; scenario or order-of-battle generation - TDOA/FDOA/AoA geolocation or estimation theory - Synthetic I/Q generation, GPU acceleration, or real-time and hardware-in-the-loop interfaces - Cloud-native deployment, containers, workflow orchestration, and data stores for large runs - A simulation framework of yours that outlived your involvement in it - Eligibility for national security clearance (an advantage) What success looks like: - 6 months: a first end-to-end scenario (cluster geometry, a handful of emitters, synthetic I/Q per satellite, truth logged, a first score) is used to answer at least one real capacity or performance question. - 12 months: a reproducible, documented framework runs without you on the team; geometry drives the RF channel simulator; real captures enter scenarios alongside synthetic emitters. - 24 months: the simulation is part of the end-to-end loop with the flatsat and ground pipeline, runs in regression, and backs performance numbers we put in front of customers. APPLICATION PROCESS - Application Screening - TA call - Hiring Manager call - Onsite 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—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.

Задачи: — Управление и валидация кредитных моделей — Управление рисками моделей Требования: — Опыт работы с нейронными сетями, машинным обучением, XGBoost — Знание принципов управления моделями и оценки рисков — Навыки валидации моделей и документации Условия: — Работа в гибридном формате в офисе в Сан-Франциско — Зарплата от $207,600 до $306,600 в год

Location: Lugano, Switzerland Workplace: remote Join Tether and Shape the Future of Digital Finance At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction. Innovate with Tether Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT , relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services. But that’s just the beginning: Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities. Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET , our flagship app that redefines secure and private data sharing. Tether Education : Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity. Tether Evolution : At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways. Why Join Us? Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry. If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you. Are you ready to be part of the future? About the job As a member of our AI research team, you will drive innovation in model compression and efficient deployment for advanced multimodal AI systems, including large language models (LLMs) and vision-language models (VLMs). Your work will focus on reducing model footprint and computational cost while preserving accuracy, enabling high-performance AI to run efficiently across resource-constrained edge devices. You will apply and advance compression techniques such as quantization, knowledge distillation, and pruning to streamline complex multimodal architectures that integrate text, images, and audio. We expect you to have deep expertise in model compression methods and a strong background in multimodal model architectures. You will adopt a hands-on, research-driven approach to develop, test, and implement novel compression strategies that balance model size, latency, throughput, and accuracy. Your responsibilities include building robust compression pipelines, establishing performance and fidelity metrics, and addressing bottlenecks in production inference. The ultimate goal is to deliver scalable, low-memory, low-latency AI systems on edge devices (i.e., smartphones) that maintain high fidelity and tangible real-world value. Responsibilities Break down the key responsibilities in bullet points. It’s helpful to make them actionable and measurable. This could also be grouped into categories for more complex roles. Apply low-bit quantization to reduce model size and inference latency for generative AI models (LLMs, VLMs, multimodal) while maintaining accuracy and output quality. Leverage knowledge distillation to transfer capabilities from larger teacher models to smaller student models, enabling efficient multimodal reasoning across text, image, and audio inputs. Implement pruning techniques to remove redundant parameters and attention heads, reducing computational overhead without sacrificing task performance. Analyze trade-offs between model efficiency (size, latency, memory) and accuracy across quantization, distillation, and pruning methods; propose improvements based on empirical findings. Research and apply mixed-precision quantization and other advanced compression strategies (e.g., adaptive pruning schedules, distillation with intermediate feature matching) to optimize the accuracy–performance balance. Stay current with the latest research in model compression, including emerging techniques for multimodal and generative architectures. Document methodologies, experiments, and results clearly to support reproducibility, internal collaboration, and stakeholder communication. Author technical papers and publish findings in top-tier conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ACL, AAAI) to advance the field of model compression for multimodal AI. List the qualifications, certifications, and experience needed for the role. You can split this into mandatory and preferred sections if needed. A degree in Computer Science  or related field. Ideally PhD in NLP, Machine Learning, or a related field, complemented by a solid track record in AI R&D (with good publications in A* conferences). Experience with PyTorch deep learning frameworks or equivalent frameworks Hands-on experience with model quantization including both Quantization-Aware Training (QAT) and Post-Training Quantization (PTQ). Research and hands-on experience with knowledge distillation for compressing large models into smaller, efficient ones. Research and hands-on experience with model pruning for compressing large models into smaller, efficient ones. Solid understanding of neural network architectures and training processes – Including transformers (e.g., LLMs, VLMs), backpropagation, optimization, and fine-tuning techniques. Familiarity with C++ is a plus (especially for implementing low-level quantization kernels or inference optimizations). Important information for candidates Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles: Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/ Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website. Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms. Double-check email addresses. All communication from us will come from emails ending in @ tether.to or @ tether.io We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately. When in doubt, feel free to reach out through our official website.

- Data analysis and monitoring of risk indicators. - Development and validation of ML/DL models.

Location: Montreal, Canada 📍 Location: Montreal, Quebec, Canada (On-site preferred; exceptional remote candidates will be considered) 📄 Employment Type: Contract-to-Permanent (Preferred) / Contract 🏢 Work Arrangement: Remote Opportunity 🚀 Start Date: Immediate 💰 Compensation: TBD -- based on skills and experience Important Screening Requirements Candidates must possess both of the following non-negotiable qualifications: Model-Based Systems Engineering (MBSE) experience, including SysML , Cameo Systems Modeler , functional decomposition, and requirements traceability. Launch and Early Orbit Phase (LEOP) operations experience, including spacecraft commissioning and/or routine satellite operations. Please note: Candidates who do not have both MBSE and LEOP experience will not be considered. Exceptional candidates may be considered for a fully remote arrangement. Remote candidates must demonstrate significantly stronger MBSE expertise and satellite operations experience than on-site candidates. About the Role We are seeking an experienced Model-Based Systems Engineer (MBSE) to support the development of advanced satellite systems through modern digital engineering practices. In this role, you will develop and maintain system architectures, create model-based engineering artifacts, and ensure end-to-end requirements traceability while supporting spacecraft commissioning and operations during the Launch and Early Orbit Phase (LEOP) . The ideal candidate has a strong background in satellite systems engineering, MBSE methodologies, and mission operations, with the ability to collaborate across multidisciplinary engineering teams. Key Responsibilities Develop and maintain system architectures using Model-Based Systems Engineering (MBSE) methodologies. Create and manage SysML models using Cameo Systems Modeler . Perform functional decomposition and maintain end-to-end requirements traceability. Support digital engineering initiatives throughout the system development lifecycle. Develop and maintain Concept of Operations (CONOPS) documentation and system behavior models. Support spacecraft commissioning and Launch and Early Orbit Phase (LEOP) activities. Collaborate with systems, software, hardware, integration, and operations teams to ensure mission readiness. Participate in architecture reviews, engineering trade studies, and technical design reviews. Support systems integration, verification, validation, and operational readiness activities. Prepare engineering documentation and communicate technical recommendations to stakeholders. Required Qualifications Demonstrated experience with Model-Based Systems Engineering (MBSE) . Hands-on experience with: SysML Cameo Systems Modeler Functional decomposition Requirements traceability Experience supporting Launch and Early Orbit Phase (LEOP) operations. Experience with spacecraft commissioning and/or routine satellite operations. Strong understanding of systems engineering principles and digital engineering methodologies. Excellent analytical, problem-solving, communication, and collaboration skills. Ability to work effectively in multidisciplinary engineering teams. Preferred Qualifications Experience developing Concept of Operations (CONOPS) documentation. Experience supporting LEO/MEO satellite systems or spacecraft development programs. Familiarity with digital engineering frameworks and MBSE best practices. Experience with satellite mission planning, systems integration, and spacecraft operations. Experience leading systems engineering trade studies and architecture reviews. What We're Looking For We're looking for an exceptional Model-Based Systems Engineer who combines deep MBSE expertise with real-world satellite operations experience . The ideal candidate has successfully applied SysML and Cameo Systems Modeler to develop robust system architectures while supporting spacecraft commissioning and LEOP activities. You are a collaborative systems thinker who can translate complex mission requirements into well-structured system models and deliver practical engineering solutions across the satellite lifecycle. Montreal-based, on-site candidates remain the preferred choice. However, truly exceptional candidates with outstanding MBSE and satellite operations experience may be considered for a fully remote arrangement. Candidates with both MBSE and LEOP experience will be given the highest priority, as these are mandatory qualifications for the role.

Location: Argentina; Mexico; Colombia; Uruguay; Honduras We are seeking an experienced Project BIM Lead to set up and manage Revit models for building engineering projects, providing the technical foundation designers and engineers need to develop building systems efficiently. You will work closely with our BIM Department Manager while independently supporting multiple project teams. This position centers on Revit model setup, ongoing model management, and technical support , with building systems design experience considered a plus. Key Responsibilities Set up initial Revit models for designers and engineers to begin design and building systems layouts. Configure project templates, linked models, coordinates, levels, grids, worksets, views, and sheets according to project requirements. Manage and maintain Revit models throughout the project lifecycle, ensuring consistent organization and reliable performance. Support project teams with Revit troubleshooting, model maintenance, and best practices. Manage worksharing workflows and coordinate updates to linked architectural, structural, and MEP models. Collaborate with the BIM Department Manager to apply company BIM standards and establish project-specific workflows. Review model health and resolve issues that affect team productivity or model usability. Independently prioritize BIM support needs across multiple projects and deadlines. Identify opportunities to improve model setup, documentation workflows, and team efficiency. Requirements Extensive experience using Autodesk Revit, ideally 8 or more years . Advanced knowledge of Revit project setup, model management, worksharing, and troubleshooting. Demonstrated experience preparing and maintaining models used by multidisciplinary design or engineering teams. Strong understanding of linked models, shared coordinates, worksets, templates, and view management. Ability to work independently while collaborating closely with a BIM manager and project teams. Strong organizational, communication, and problem-solving skills. Attention to detail and the ability to manage competing project priorities. Preferred Qualifications Proficiency in AutoCAD. Experience supporting mechanical, electrical, and plumbing engineering teams. Building systems design experience. Familiarity with Autodesk Construction Cloud or BIM 360. Autodesk Revit certification. Benefits Work for the most exciting companies in the North American Market. Flexible schedules. Work from anywhere. Highly competitive compensation.

Ищем сильного ML Researcher уровня Senior / Staff для сложной исследовательской задачи на стыке probabilistic ML, sequential decision making и моделирования поведения агентов. Необходимо моделировать поведение участников и использовать эти прогнозы для принятия решений в условиях неопределённости и ограниченного inference budget.

Kodland is a digital platform connecting tutors and children aged 5 to 17, teaching game development (Unity/Roblox/Minecraft), programming (Scratch/Python), web development (Javascript, HTML, CSS), digital design (Blender/Photoshop). What you'll do Delivering fun and engaging lessons based on the provided scripts and materials Improving teaching skills with the help of experienced Kodland mentors Communicating any feedback regarding lessons and class content to the office team Providing regular and detailed reports on student progress, and tracking and improving class engagement and the learning experience Being a positive, influential, and open ambassador for Kodland Implementing creative ideas to stimulate and support students Who you are Online Tutor responsible for: Experience in teaching or tutoring Blender 3D modelling Strong communication and feedback skills Ability to deliver engaging lessons and adapt to student needs Positive attitude and ability to be a Kodland ambassador Benefits & perks Flexible scheduling Opportunity to work with a global platform Professional development through mentorship Tech stack Blender for 3D modelling; general education tools as required by scripts

Location: San Francisco, California; New York, New York Workplace: Hybrid WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE: Notion has been at the cutting edge of AI since before ChatGPT launched. The job of the Model Capabilities team is to keep us there. We own the model layer of Notion AI: integrating frontier models as they ship, keeping inference reliable and economical at scale, and building new capabilities that other teams take advantage of.   This role can be based in either San Francisco or New York City. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days. WHAT YOU'LL ACHIEVE: - Bring new frontier models into production quickly, making them available for our users and our engineers. - Make inference reliable: better error categorization, self-healing retries, and cross-provider failover. - Own observability for the model layer, driving down both time to detection and time to fix. - Build new model-level capabilities and help product teams adopt them. - Act as connective tissue across Notion's AI teams: find the gaps, unblock people, and make sure fixes land with the right owner. SKILLS YOU'LL NEED TO BRING: - Comfort with a moving frontier: The model landscape changes monthly. You keep up with it, form your own view of what's real, and stay pragmatic about what's worth adopting now. - AI fluency as a practitioner: You use AI tools seriously in your own work and have opinions about where they help and where they don't. - Production AI systems experience: You've built and operated systems on top of LLM APIs, not just prototyped with them. You understand token economics, streaming, tool calling, context limits, and how each of these fails in production. - Measurement before conviction: You don't ship a prompt or model change on vibes. You define what "better" means, build or use the evaluation to test it, and are willing to be proven wrong by your own data. - Cost and performance instincts: You treat latency and dollars as product qualities, not afterthoughts, and you can reason about the tradeoff between them and output quality. Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco or New York City, the estimated base salary range for this role is $255,000 – $300,000 per year. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550?pvs=74 and NYLL 144 https://notion.notion.site/Ashby-AI-Bias-Audit-2b0efdeead05803bbbfae159ec86c528. #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Задачи: • Создавать 3D-модели мобов и боссов согласно концептам и арт-направлению проекта Наши ожидания: • От 3х лет коммерческого опыта в 3D character art для игр • Сильное портфолио со стилизованными персонажами и существами (кандидатов с опытом исключительно в реализме не рассматриваем) • Уверенное владение полным пайплайном: sculpt → high-poly → low-poly • Умение работать с органикой: человекоподобные персонажи, животные, существа, монстры, анатомия и выразительные формы • Опыт создания фэнтезийной экипировки: брони, оружия, аксессуаров, элементов костюма • Опыт создания Hand-paint стилизованных текстур • Опыт подготовки моделей для передачи в анимацию • Опыт работы с Unity интеграция в движок, донастройка материалов (заказ кастомных материалов при необходимости) Будет плюсом: • Опыт на PC/console-проектах от первого лица • Опыт поиска нестандартных технических решений и работы по кастомному пайплайну • Опыт работы с небольшими командами, где важно самостоятельно владеть своей зоной и проявлять инициативу Быть частью команды означает: • Работа над авторским PC/Steam-проектом • Интересные и сложные задачи • Тесное сотрудничество с небольшой вовлеченной командой и высокая степень ownership • Работа удаленно из любой точки мира в международной компании • Конкурентный уровень заработной платы

Задачи: • Создавать 3D-модели мобов и боссов согласно концептам и арт-направлению проекта Требования: • От 3х лет коммерческого опыта в 3D character art для игр • Сильное портфолио со стилизованными персонажами и существами (кандидатов с опытом исключительно в реализме не рассматриваем) • Уверенное владение полным пайплайном: sculpt → high-poly → low-poly • Умение работать с органикой: человекоподобные персонажи, животные, существа, монстры, анатомия и выразительные формы • Опыт создания фэнтезийной экипировки: брони, оружия, аксессуаров, элементов костюма • Опыт создания Hand-paint стилизованных текстур • Опыт подготовки моделей для передачи в анимацию • Опыт работы с Unity: интеграция в движок, донастройка материалов (заказ кастомных материалов при необходимости) Будет плюсом: • Опыт на PC/console-проектах от первого лица • Опыт поиска нестандартных технических решений и работы по кастомному пайплайну • Опыт работы с небольшими командами, где важно самостоятельно владеть своей зоной и проявлять инициативу Условия: • Работа над авторским PC/Steam-проектом • Интересные и сложные задачи • Тесное сотрудничество с небольшой вовлеченной командой и высокая степень ownership • Работа удаленно из любой точки мира в международной компании • Конкурентный уровень заработной платы