Вакансии

Задачи: — Контроль качества производимых медицинских изделий на всех этапах производства — Выполнение лабораторных анализов, испытаний, измерений и других видов исследований — Ведение работ по учету реактивов и расходных материалов, прекурсоров; заказ реактивов и материалов — Взаимодействие со сторонними лабораториями — Контроль и обеспечение своевременного метрологического обеспечения лаборатории и производства — Контроль за уборкой производственных помещений, организация мероприятий по программе Пест-контроль — Воспроизведение методов лабораторного анализа — Участие в валидации процессов и аналитических методик — Составление аналитических протоколов — Участие во внутренних проверках Требования: — Высшее образование (химическое, химико-технологическое, химико-фармацевтическое, фармацевтическое) — Опыт работы в лаборатории от 1 года — Хорошие базовые знания в области химии — Владение современными методами контроля качества продукции, сырья и материалов — Владение титрометрическими и хроматографическими методами исследований — Опыт в проведении работ и составлении отчетов и протоколов по валидации аналитических методик (приветствуется) — Личные качества: доброжелательность, ответственность, аккуратность, исполнительность, пунктуальность, грамотность, внимательность, готовность и желание обучаться, умение работать в команде — Навыки работы в чистых зонах (желательно) Условия: — Работа в стабильной, динамично развивающейся компании — Оформление согласно ТК РФ, своевременная выплата заработной платы, оплачиваемый отпуск 28 календарных дней — Отличный коллектив, демократичное руководство, поддержка руководства компании — Удобное расположение офиса, 3 минуты от метро Румянцево, Бизнес-парк Румянцево — График работы: пятидневный режим работы понедельник - пятница; суббота, воскресенье - выходной, с 08-00 до 17-00 — Уютный офис с кухней, чай, кофе за счет компании — Частичная компенсация питания — Материальная помощь при значимых событиях — Корпоративные мероприятия

Location: Remote - United States Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers. Scope of the Role: Video is where multimodal models are weakest and hardest to grade. Temporal reasoning, long-form understanding, grounding events in time, and holding audio, video, and text together do not fall out of image benchmarks — and the evaluations for them are still immature. Closing that gap is gated as much by how we design data and evaluation as by architecture. Innodata builds that data and those evaluations for the customers and frontier labs advancing video and multimodal models, and we are hiring a Research Scientist to own the science behind it. You will partner directly with the customers and frontier labs building video understanding, video-language, and video-generation models, as interested in the data behind them as in the models themselves. Video spans two model families judged in completely different ways: models that understand video — answering questions, localizing events, grounding language in time — where the question is whether the answer is correct; and models that generate it, where fidelity, temporal coherence, and physical plausibility matter and no automatic metric is settled. You own the evaluation science for both, and knowing when model-based scoring can stand in for a human versus when it can't. Your conclusions shape what our partners measure and collect next. What You’ll Own: You will define how Innodata designs, structures, and evaluates video data for video and multimodal models, and you will validate those choices experimentally. Concretely, you will: Translate the requirements of video and multimodal models — video understanding, temporal and event localization, action recognition, long-form video, video-language models, video generation, cross-modal reasoning, and multimodal retrieval and grounding — into concrete data specifications: modalities, annotation schemas, sampling, and evaluation criteria. Build evaluation methodology for video understanding — temporal grounding accuracy, long-context and long-horizon reasoning, and dynamic multi-turn, cross-modal, and retrieval-and-grounding evaluation — clear about when model-based scoring is trustworthy and when a human is needed. Build evaluation methodology for video generation — fidelity, temporal coherence, and physical plausibility, including generative video used as a world model — the regime where automatic metrics are weakest and human judgment matters most. Decide how existing and incoming video should be structured, enriched, and sampled to extract the most model value from it, including from messy, domain-specific footage. Run experiments that prove data decisions matter: fine-tune and evaluate models on Innodata data, with ablations tying specific data choices to measurable improvement. Design adversarial and stumping evaluations that surface where video and multimodal systems fail, and turn those failures into better data. Publish. Turn what you learn into benchmarks, methodology, and papers that advance the field and earn the trust of the customers and frontier labs we partner with. Work with annotation teams, subject-matter experts, and the synthetic-data pipeline to turn specifications into operational collection and labeling plans. You’ll Thrive in This Role If You Have: Roughly 5+ years of hands-on industry experience in video understanding or multimodal ML. We weight practical experience over formal credentials; a PhD with a compelling, current research agenda can offset the lower end. A Bachelor's degree in computer science, electrical engineering, or a related technical or quantitative field is required; an advanced degree (MS or PhD) in a relevant field is preferred. Trained and evaluated video or multimodal models yourself, with strong PyTorch fundamentals. Fluency in the formats and tooling video work runs on: ffmpeg and decord pipelines, temporal and COCO-style annotation, WebDataset, Parquet and Arrow, and HuggingFace datasets. Experience fine-tuning large video or vision-language models with the modern toolchain (HuggingFace transformers, PEFT, efficient inference), and with long-form video, streaming, temporal segmentation, or synthetic video generation. A way of thinking in datasets and benchmarks: you have built evaluation sets, calibrated difficulty, and argued about what makes video data good for a given objective. A track record the field recognizes: first-author publications or strong open-source contributions at venues such as CVPR, ICCV, ECCV, NeurIPS, or ICLR. The ability to work directly with the research scientists at the customers and frontier labs we partner with, and to explain data and modeling decisions clearly to both expert and non-expert audiences, backed by a rigorous, reproducible approach to experiments and documentation. Bonus: interest or hands-on experience in responsible-AI evaluation and red-teaming — safety and robustness testing for video and multimodal systems. The expected salary range for this position is $160,000 - $185,000 p/year, based on experience, skills, and qualifications. Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at https://consumer.ftc.gov/articles/job-scams. If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov .

Location: Remote - United States Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers. Scope of the Role: Progress in physical AI is gated as much by data design as by model architecture. The best manipulation and locomotion policies, vision-language-action models, and world models are only as good as the trajectories, demonstrations, and environments they learn from — so the highest-leverage decisions are made long before a model trains: what to capture, what to synthesize, how to represent an action, and how to know whether any of it will transfer to a real robot. Innodata is building the data and evaluation practice behind the next generation of robotics foundation models, in direct partnership with the customers and frontier labs defining that frontier. We are hiring a Research Scientist to own the science of that data. You will partner directly with the customers and frontier labs building robot foundation models, as interested in the data those models learn from as in the models themselves. Your leverage is scientific judgment about data: deciding what is worth capturing in the real world versus generating in simulation, how to weight a training mix across embodiments and sensors, and how to measure whether a policy will hold up outside the lab. Your conclusions will shape what our partners collect next. What You’ll Own: You will define how Innodata designs, structures, and evaluates data for robot foundation models, and you will validate those choices experimentally. Concretely, you will: Translate the requirements of robotics foundation models — vision-language-action models, world models, and manipulation and locomotion policies — into concrete data specifications: modalities, action representations (tokenization, chunking, diffusion and flow-matching action experts), sampling, annotation schemas, and evaluation criteria. Decide what is worth capturing in the real world versus generating in simulation, and curate and weight training mixes across heterogeneous robot datasets that span different embodiments, action spaces, and sensor setups. Guide collection across capture modalities — motion capture, egocentric, exocentric, teleoperation, and multi-sensor — and across synthetic pipelines, so that what we produce maps cleanly to model needs rather than accumulating for its own sake. Build evaluation and benchmarking methodology that predicts real-world transfer — coverage, discriminative power, reliability, and sim-to-real fidelity — including world-model evaluation (rollout quality and action-conditioned prediction) and the domain-randomization and system-identification choices that close the sim-to-real gap. Run the experiments that prove it: fine-tune and evaluate foundation models on Innodata data, with data-quality ablations and scaling studies that demonstrate specific data decisions produce measurable model improvement. Design adversarial and long-horizon evaluations that surface where policies and world models break, and turn those failure modes into better data. Publish. Turn what you learn into benchmarks, methodology, and papers that advance the field and earn the trust of the customers and frontier labs we partner with. Collaborate with the capture lab, annotation teams, and the synthetic-data pipeline to turn specifications into operational collection and labeling plans. You’ll Thrive in This Role If You Have: Roughly 4+ years of hands-on industry experience in robot learning or robotics ML. We weight practical experience over formal credentials; because the field is young, a PhD with a compelling, current research agenda can offset the lower end, and we will also consider very senior candidates with the right background. A Bachelor's degree in computer science, electrical engineering, robotics, or a related technical field is required; an advanced degree (MS or PhD) in a relevant field is preferred. Trained and evaluated robot policies yourself — manipulation or locomotion via imitation learning or reinforcement learning — with strong PyTorch fundamentals. You build and measure models, you don't just call them. A way of thinking in datasets: you have curated, filtered, and weighted robot data across embodiments and sensors, and you have real opinions about what makes it good for a given objective. Fluency in robotics data formats and standards — the LeRobot dataset format, RLDS, and Open X-Embodiment — along with common motion and sensor formats. Hands-on experience with simulation and synthetic data — NVIDIA Isaac Sim, Isaac Lab, and Omniverse, or MuJoCo and comparable engines — including domain randomization, system identification, and sim-to-real transfer. Experience with teleoperation or egocentric data collection, and comfort adapting VLM backbones for control and fine-tuning large VLA models with the modern toolchain (HuggingFace transformers, PEFT). A track record the field recognizes: first-author publications or strong open-source contributions at venues such as CoRL, ICRA, IROS, RSS, or NeurIPS. The ability to work directly with the research scientists at the customers and frontier labs we partner with, and to explain data and modeling decisions clearly to both expert and non-expert audiences, backed by a rigorous, reproducible approach to experiments and documentation. Bonus: interest or hands-on experience in responsible-AI evaluation and red-teaming for embodied systems, for example safety and robustness testing. The expected salary range for this position is $160,000 - $185,000 p/year, based on experience, skills, and qualifications. Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at https://consumer.ftc.gov/articles/job-scams. If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov .

Location: United States- Charlotte, North Carolina Founded in 1985, ATS is a company with a presence in the United States, Mexico and the United Kingdom. We are professionals in Industrial Maintenance and we make factories run better. Fundada en 1985, ATS es una empresa con presencia en los Estados Unidos, México y el Reino Unido. Somos profesionales en mantenimiento industrial y hacemos que las fábricas funcionen mejor. **SIGN ON BONUS: $5,000 USD** CANDIDATES CAN RESIDE ANYWHERE WITHIN THE CONTINENTAL UNITED STATES. Principal Duties/Responsibilities: · Performs expert level break-fix & preventative maintenance. This includes but is not limited to: observing devises in operation to location root cause of problem; dismantling devices to gain access to and remove defective parts; examining parts to detect imperfections; adjustment of functional parts of devices and control instruments; repair and/or replacement of defective parts; testing of device to observe performance; and performing tests for electrical circuitry and mechanical systems; reconditioning and repairing machine tools. · Identifies and sources parts, supplies and repair items as necessary. Performs evaluations of alternatives to improve cost and / or reliability of equipment. Compiles alternative packages for purposes of retrofit, upgrade, or alternative functionality of equipment. · Independently performs maintenance as per industry standards; creates maintenance standards and instructions for altered or new manufacturing equipment. · Directs customer counterparts in maintenance optimization efforts, reliability, and preventative maintenance processes. · May be required to setup and operate multiple machining operations including but not limited to: lathe, drill press, grinder, and other metalworking tools to make and repair parts. May perform welding tasks. · Conforms and complies with customer contractor codes of conduct, housekeeping standards, and safety processes · Documents work performed in service reports, applicable management systems, and written explanation regarding observation and collected equipment performance data. Compiles technical manuals, operations, and maintenance processes relevant to equipment upgrades and automation integrations. · Provides assistance to lower level technicians and leadership to project teams. Performs expert functions as a part of training and development. · Alters, troubleshoots and analyzes complex control systems to resolve in-depth software/ hardware and configuration problems. · Utilizes advanced maintenance technologies to collect equipment performance data. Observes trends and makes recommendations. · Conducts on-the-job training and leads technical programs for technical development of customers and coworkers · Follows all safety related policies, rules, regulations, technical instructions and guidelines. Situational awareness and identify unsafe behaviors and conditions. Knowledge, Skills, Abilities (KSAs), & Competencies: Essential KSAs: · High School Graduate or equivalent (GED). · Associates degree with a Technical focus and 12 years of related experience in specific industry; or, 15 years of experience in specific industry. · Possesses comprehensive understanding of electrical, mechanical, fluid power and control systems. Can analyze the problem, synthesize alternative solutions, and perform repairs. · Must be able to use basic hand tools and specialized tools, and programming software as appropriate. · Extensive travel required. (Local and/or National) Desirable KSAs: · Experience in condition based maintenance techniques, precision mechanical alignments, maintenance of applicable process equipment, and automation integration. · Robust experience in programmable logic controllers, field device troubleshooting, maintenance of electrical drive and motor systems, and motion control devices. Competencies: · Communications · Customer Focus · Personal Discipline · Safety Physical Demands and Working Conditions: While performing the duties of this job, the employee is regularly required to stand; walk; use hands/fingers to handle, or feel; reach with hands and arms; climb, ascend/descend or balance to heights that may require a ladder or lift; stoop, kneel, crouch, or crawl in confined spaces; and talk or hear. The employee is occasionally required to sit. The employee must occasionally lift and/or move more than 50 pounds. The employee is regularly required to use close vision and color vision. The employee is occasionally exposed to outside weather conditions and risk of electrical shock. Work is typically performed in a factory environment and is usually very loud. In the factory environment, the employee may be exposed to hazardous materials and/or greasy or slippery factory floors ​ ATS believes in fair and equitable pay. Please note that actual salaries may vary within the range, or be above or below the range, based on factors including, but not limited to, education, training, experience, professional achievement, business need, and location. We also offer market leading benefit programs including Medical, Dental and Vision plans, PTO, a 401k retirement plans with employer matching, tuition reimbursement, and more. Pay Range $44.97 — $57.53 USD ATS is committed to providing equal employment opportunities in all aspects of employment to all applicants and employees without regard to age, color, race, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, disability, veteran status, genetic information, or other legally protected status. Review the privacy policy here. ATS se compromete a brindar igualdad de oportunidades de empleo en todos los aspectos del empleo a todos los solicitantes y empleados, independientemente de su edad, color, raza, religión, sexo (incluido el embarazo, identidad de género y orientación sexual), origen nacional, discapacidad, estatus de veterano, información genética u otro estatus legalmente protegido. Revisión de la política de privacidad aquí here.

Location: United States- Atlanta, Georgia Founded in 1985, ATS is a company with a presence in the United States, Mexico and the United Kingdom. We are professionals in Industrial Maintenance and we make factories run better. Fundada en 1985, ATS es una empresa con presencia en los Estados Unidos, México y el Reino Unido. Somos profesionales en mantenimiento industrial y hacemos que las fábricas funcionen mejor. **SIGN ON BONUS: $5,000 USD** CANDIDATES CAN LIVE ANYWHERE WITHIN THE CONTINENTAL U.S. Principal Duties/Responsibilities: · Performs expert level break-fix & preventative maintenance. This includes but is not limited to: observing devises in operation to location root cause of problem; dismantling devices to gain access to and remove defective parts; examining parts to detect imperfections; adjustment of functional parts of devices and control instruments; repair and/or replacement of defective parts; testing of device to observe performance; and performing tests for electrical circuitry and mechanical systems; reconditioning and repairing machine tools. · Identifies and sources parts, supplies and repair items as necessary. Performs evaluations of alternatives to improve cost and / or reliability of equipment. Compiles alternative packages for purposes of retrofit, upgrade, or alternative functionality of equipment. · Independently performs maintenance as per industry standards; creates maintenance standards and instructions for altered or new manufacturing equipment. · Directs customer counterparts in maintenance optimization efforts, reliability, and preventative maintenance processes. · May be required to setup and operate multiple machining operations including but not limited to: lathe, drill press, grinder, and other metalworking tools to make and repair parts. May perform welding tasks. · Conforms and complies with customer contractor codes of conduct, housekeeping standards, and safety processes · Documents work performed in service reports, applicable management systems, and written explanation regarding observation and collected equipment performance data. Compiles technical manuals, operations, and maintenance processes relevant to equipment upgrades and automation integrations. · Provides assistance to lower level technicians and leadership to project teams. Performs expert functions as a part of training and development. · Alters, troubleshoots and analyzes complex control systems to resolve in-depth software/ hardware and configuration problems. · Utilizes advanced maintenance technologies to collect equipment performance data. Observes trends and makes recommendations. · Conducts on-the-job training and leads technical programs for technical development of customers and coworkers · Follows all safety related policies, rules, regulations, technical instructions and guidelines. Situational awareness and identify unsafe behaviors and conditions. Knowledge, Skills, Abilities (KSAs), & Competencies: Essential KSAs: · High School Graduate or equivalent (GED). · Associates degree with a Technical focus and 12 years of related experience in specific industry; or, 15 years of experience in specific industry. · Possesses comprehensive understanding of electrical, mechanical, fluid power and control systems. Can analyze the problem, synthesize alternative solutions, and perform repairs. · Must be able to use basic hand tools and specialized tools, and programming software as appropriate. · Extensive travel required. (Local and/or National) Desirable KSAs: · Experience in condition based maintenance techniques, precision mechanical alignments, maintenance of applicable process equipment, and automation integration. · Robust experience in programmable logic controllers, field device troubleshooting, maintenance of electrical drive and motor systems, and motion control devices. Competencies: · Communications · Customer Focus · Personal Discipline · Safety Physical Demands and Working Conditions: While performing the duties of this job, the employee is regularly required to stand; walk; use hands/fingers to handle, or feel; reach with hands and arms; climb, ascend/descend or balance to heights that may require a ladder or lift; stoop, kneel, crouch, or crawl in confined spaces; and talk or hear. The employee is occasionally required to sit. The employee must occasionally lift and/or move more than 50 pounds. The employee is regularly required to use close vision and color vision. The employee is occasionally exposed to outside weather conditions and risk of electrical shock. Work is typically performed in a factory environment and is usually very loud. In the factory environment, the employee may be exposed to hazardous materials and/or greasy or slippery factory floors ​ ATS believes in fair and equitable pay. Please note that actual salaries may vary within the range, or be above or below the range, based on factors including, but not limited to, education, training, experience, professional achievement, business need, and location. We also offer market leading benefit programs including Medical, Dental and Vision plans, PTO, a 401k retirement plans with employer matching, tuition reimbursement, and more. Pay Range $44.97 — $57.53 USD ATS is committed to providing equal employment opportunities in all aspects of employment to all applicants and employees without regard to age, color, race, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, disability, veteran status, genetic information, or other legally protected status. Review the privacy policy here. ATS se compromete a brindar igualdad de oportunidades de empleo en todos los aspectos del empleo a todos los solicitantes y empleados, independientemente de su edad, color, raza, religión, sexo (incluido el embarazo, identidad de género y orientación sexual), origen nacional, discapacidad, estatus de veterano, información genética u otro estatus legalmente protegido. Revisión de la política de privacidad aquí here.

Location: Clarksville, TN Step into the innovative world of LG Electronics. As a global leader in technology, LG Electronics is dedicated to creating innovative solutions for a better life. Our brand promise, 'Life's Good', embodies our commitment to ensuring a happier life for all. We have a rich history spanning over six decades and a global presence in over 290 locations.  Our diverse portfolio includes Home Appliance Solutions, Media Entertainment Solutions, Vehicle Solutions, and Eco Solutions.  Our management philosophy, "Jeong-do Management," embodies our commitment to high ethical standards and transparent operations. Grounded in the principles of 'Customer-Value Creation' and 'People-Oriented Management', these values shape our corporate culture, fostering creativity, diversity, and integrity. At LG, we believe in the power of collective wisdom through an inclusive work environment.  Join us and become a part of a company that is shaping the future of technology.  At LG, we strive to make Life Good for Everyone. $67,000 Annually Responsibilities: '• Designs and revises for OQC inspections and new model test manuals Decides the shipment of products to check OQC inspection results Decides the new model approvals to check DQA inspection results Collects and analyzes production samples to evaluate quality Analyzes quality control test results and provides feedback and interpretations to production management or staff Stops production if serious product defects are present Monitors performance of quality control systems to ensure effectiveness and efficiency Qualifications: -• 2+ years of outgoing quality assurance experience 2+ year of development quality assurance experience CQE(Certified Quality Engineer),CRE (Certified Reliability Engineer), 6 Sigma Belt preferred Benefits Offered Full-Time Employees: No-cost employee premiums for you and your eligible dependents for competitive medical, dental, vision and prescription benefits. Auto enrollment with immediate vesting of competitive company matching contributions in a 401(k) Retirement Savings Plan with several investment options. Generous Paid Time Off program that includes company holidays and a combined bank of paid sick and vacation time. Performance based Short-Term Incentives (varies by role). Access to confidential mental health resources to help you and your loved ones improve your quality of life. Personal fitness goal incentives. Family orientated benefits such as paid parental leave and support for families raising children with learning, social, behavioral challenges, or developmental disabilities. Group Rate Life and Disability Insurance. Benefits Offered Temporary/Contractors: Eligible for the relevant benefit programs offered through our partner agencies. Privacy Notice to California Applicants Applicants who need assistance or a reasonable accommodation during the hiring process may contact our team by phone at: 973-477-7090 or support@lg4me.freshdesk.com. This email and phone number will only reply to accommodation requests and is not intended for general employment inquiries. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. In addition to the above, LG believes that pay transparency is a key part of diversity, equity, and inclusion. Our salary ranges take into account many factors in making compensation decisions including but not limited to skillset, experience, licensure, certifications, internal equity, and other business needs. While we consider geographic pay differentials in final offers, because we operate in many geographies where applicable, the salary range listed may not reflect all geographic differentials applied .

Location: United States About Turing Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com . The Role Turing is seeking exceptional Research Scientists to join our research organization and develop new ways to evaluate, train, and improve frontier AI systems. This is a research-first role focused on problems where the right benchmark, dataset, or methodology often does not yet exist. You will identify important gaps in the literature, propose ambitious new research directions, and take projects from initial hypothesis through experimentation, benchmark construction, and publication. Our research is deliberately focused on frontier evaluation, synthetic data, hallucination and reliability, and agentic science . We are looking for scientists who can recognize important problems early, formulate them precisely, and design rigorous research programs to answer them. What You'll Do Frontier benchmarks and evaluation Identify high-impact gaps in existing benchmark and evaluation literature. Design novel benchmarks in and across STEM fields and on general model functionality. Develop evaluations for emerging model capabilities that are poorly captured by traditional static benchmarks. Design rigorous task-generation, grading, contamination-control, difficulty-calibration, and validation methodologies. Build benchmarks that can become both valuable research contributions and meaningful standards for evaluating frontier models. Synthetic data and post-training Develop methods for generating high-quality synthetic STEM training data. Study how task selection, difficulty, diversity, verification, filtering, and data quality affect downstream performance. Explore methods for generating useful training signal in domains where expert human data is scarce or expensive. Design experiments that determine when synthetic data genuinely improves capabilities rather than simply increasing training volume. Hallucination, reliability, and verification Study hallucination, uncertainty, calibration, and epistemic failure in technical domains. Develop evaluations and methods for improving factual reliability, self-correction, verification, citation, and appropriate abstention. Investigate when models should reason internally, invoke tools, seek external evidence, or recognize that they do not know. Agentic science Research AI systems capable of performing extended scientific and technical work. Develop workflows involving literature search, coding, simulation, tool use, experimentation, verification, and iterative reasoning. Evaluate long-horizon scientific agents and identify the bottlenecks preventing them from reliably performing real research. Explore new approaches to human-AI and multi-agent scientific collaboration. New research directions The areas above are our core focus, not an exhaustive list. Researchers will also have significant latitude to propose new programs in areas such as reasoning, model evaluation, AI-for-science, data generation, and emerging capabilities. What We’re Looking For PhD or equivalent research experience in machine learning, computer science, mathematics, physics, chemistry, biology, engineering, statistics, or another highly technical field . Demonstrated ability to formulate and execute original research. Strong understanding of modern LLMs and the frontier AI research landscape. Excellent experimental design, quantitative reasoning, and scientific judgment. Ability to rapidly understand unfamiliar technical literature and develop expertise in new areas. Strong Python skills and the ability to independently build research prototypes and evaluation pipelines. Excellent technical writing and communication. Comfort working in a fast-moving environment where the research agenda evolves with the frontier. A strong publication record is valuable, but we care most about whether you can identify important questions, design rigorous ways to answer them, and execute quickly enough for the results to matter . A note from our CTO, Ece Kamar Some of the most important questions in AI can't be answered from inside a single lab: how to evaluate frontier models, how data and RL truly drive capability, and what happens when AI meets the real world. At Turing, we work directly with frontier labs, the academic community, and enterprises deploying AI at scale. That creates a feedback loop where deployment shapes our research and our research shapes the field, and we publish our findings, datasets, and benchmarks openly. Join our talented team at Turing to push the frontier of AI with rigorous science that matters. Why Turing Work directly with leading AI labs and enterprises at the frontier of post-training and RL environment design. Build datasets and environments that directly improve the capabilities of advanced AI systems. Help advance coding agents’ ability to understand, plan, and execute complex software-engineering tasks. Apply frontier AI innovations to high-value enterprise workflows. Operate with high autonomy, rapid iteration, and meaningful commercial impact. Collaborate with exceptional colleagues from organizations including Google, Meta, Amazon, and other leading technology companies. Contribute to research that may be shared through technical publications and leading conferences such as ICLR, ICML, and NeurIPS. Compensation: $250,000 to $400,000 OTE + Equity Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace  and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here .

Location: Florida - Remote; Indiana - Remote Company Description We are Olsson. We engineer and design solutions that improve the world around us. As a company, we promise to always be responsive, transparent, and focused on results – for our people, our clients, and our company. We’re a people-centric firm, so it’s no surprise our greatest asset is our people. The impact this creates is an environment that encourages our people to grow and be creative with their talents. This approach builds a culture that is uniquely Olsson. It allows us to grow our people as we grow our business. This, in turn, creates a lasting impact on the world around us. Job Description As a Construction Materials Testing (CMT) Technician at Olsson, you'll be trained to perform geotechnical materials testing, construction observation, and inspections for diverse projects. Your responsibilities will include collecting construction materials samples from construction sites and perform tests and inspections to assess the properties and integrity of those materials, using specialized equipment and following established procedures and standards. You will document your findings and communicate results to project managers, field staff, and contractors, facilitating informed decision-making and maintaining the integrity and safety of construction projects. You will work in all types of terrain and weather conditions. At Olsson, we are committed to nurturing the professional development of our team. We actively foster an environment where our team members are empowered to pursue relevant certifications and specialized training that align with their roles. Our commitment is to support your career advancement and broaden your skills. We offer ample opportunities for ongoing professional development, ensuring your continual growth and success in your position. Project Locations & Travel Requirements: There are currently project opportunities available in Southern Florida, Central Alabama, and Indiana. Candidates should be comfortable traveling and working onsite at assigned project locations on a daily basis. New hires will complete onboarding and training through the Olsson office closest to their assigned project site. Candidates who are interested in opportunities outside of their home state and are not located near the project location may be eligible for a travel stipend to help offset lodging and travel expenses during the duration of the project assignment. This role is ideal for individuals who enjoy working in the field, supporting projects in various locations, and gaining experience across multiple markets and project environments. Qualifications: You are passionate about: Working collaboratively with others. Having ownership in the work you do. Using your talents to positively affect communities. You bring to the team: Strong communication skills. Ability to contribute and work well on a team. High school diploma or equivalent required. Valid driver's license with a good driving history. The ability to work in a constant state of alertness and safe manner. Associate or bachelor's degree from a technical or four-year school in either civil engineering, construction, or a related field, preferred not required. Engineer in Training (EIT) or International Code Council (ICC) certified, preferred, not required. ACI Grade I and Nuclear Gauge certifications, preferred not required. Proficient in Microsoft Office applications (Word, Excel, Outlook, etc.) with the ability to accurately complete online forms, documents, and data entry tasks. This position includes: The use of a company truck for transportation to and from job site(s) Applicable PPE (personal protective equipment) provided Work boot reimbursement program Company issued laptop Cell phone reimbursement options Receive fully paid training, the opportunity to participate in our mentorship program, and gain hands-on experience by shadowing seasoned professionals. #LI-DNP Additional Information Olsson specializes in engineering and design, client advisory services, planning, field services, and environmental. Improving the world has been our mindset from the very beginning, back when Olsson first opened for business in 1956. And it will be our mindset for years to come. As an Olsson employee, you will: Receive a competitive 401(k) match Be empowered to build your career with tailored development paths Have the possibility for flexible work arrangements Engage in work that has a positive impact on communities Participate in a wellness program promoting balanced lifestyles In addition, full-time employees will receive our traditional benefits package (health care, vision, dental, paid time off, etc.) and the opportunity to participate in a bonus system that rewards performance. Olsson is an Equal Opportunity Employer. We encourage qualified minority, female, veteran, and disabled candidates to apply and be considered for open positions. We do not discriminate against any applicant for employment or any employee because of race, color, religion, national origin, sex, sexual orientation, gender identity, gender, disability, age, military status, or other protected status. Olsson understands the importance of privacy and is committed to protecting job applicants’ personal information. Pursuant to the California Consumer Privacy Act, as amended by the California Privacy Rights Act (collectively, the “CCPA”), this notice explains Olsson’s practices regarding the collection, use, and disclosure of personal information for job applicants residing in California. Please read this Notice carefully to understand our privacy practices. For more information about the types of information we collect and how we use it in connection with your general access and use of our website, please review our general California Privacy Notice here .

Location: United States About Turing Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com . The Role Turing is seeking exceptional Research Scientists to join our STEM research organization and develop new ways to evaluate, train, and improve frontier AI systems. This is a research-first role focused on problems where the right benchmark, dataset, or methodology often does not yet exist. You will identify important gaps in the literature, propose ambitious new research directions, and take projects from initial hypothesis through experimentation, benchmark construction, and publication. Our research is deliberately focused on frontier STEM evaluation, synthetic data, hallucination and reliability, and agentic science . We are looking for scientists who can recognize important problems early, formulate them precisely, and design rigorous research programs to answer them. What You'll Do Frontier benchmarks and evaluation Identify high-impact gaps in existing benchmark and evaluation literature. Design novel benchmarks in and across STEM fields and on general model functionality. Develop evaluations for emerging model capabilities that are poorly captured by traditional static benchmarks. Design rigorous task-generation, grading, contamination-control, difficulty-calibration, and validation methodologies. Build benchmarks that can become both valuable research contributions and meaningful standards for evaluating frontier models. Synthetic data and post-training Develop methods for generating high-quality synthetic STEM training data. Study how task selection, difficulty, diversity, verification, filtering, and data quality affect downstream performance. Explore methods for generating useful training signal in domains where expert human data is scarce or expensive. Design experiments that determine when synthetic data genuinely improves capabilities rather than simply increasing training volume. Hallucination, reliability, and verification Study hallucination, uncertainty, calibration, and epistemic failure in technical domains. Develop evaluations and methods for improving factual reliability, self-correction, verification, citation, and appropriate abstention. Investigate when models should reason internally, invoke tools, seek external evidence, or recognize that they do not know. Agentic science Research AI systems capable of performing extended scientific and technical work. Develop workflows involving literature search, coding, simulation, tool use, experimentation, verification, and iterative reasoning. Evaluate long-horizon scientific agents and identify the bottlenecks preventing them from reliably performing real research. Explore new approaches to human-AI and multi-agent scientific collaboration. New research directions The areas above are our core focus, not an exhaustive list. Researchers will also have significant latitude to propose new programs in areas such as reasoning, model evaluation, AI-for-science, data generation, and emerging capabilities. What We’re Looking For PhD or equivalent research experience in machine learning, computer science, mathematics, physics, chemistry, biology, engineering, statistics, or another highly technical field . Demonstrated ability to formulate and execute original research. Strong understanding of modern LLMs and the frontier AI research landscape. Excellent experimental design, quantitative reasoning, and scientific judgment. Ability to rapidly understand unfamiliar technical literature and develop expertise in new areas. Strong Python skills and the ability to independently build research prototypes and evaluation pipelines. Excellent technical writing and communication. Comfort working in a fast-moving environment where the research agenda evolves with the frontier. A strong publication record is valuable, but we care most about whether you can identify important questions, design rigorous ways to answer them, and execute quickly enough for the results to matter . A note from our CTO, Ece Kamar Some of the most important questions in AI can't be answered from inside a single lab: how to evaluate frontier models, how data and RL truly drive capability, and what happens when AI meets the real world. At Turing, we work directly with frontier labs, the academic community, and enterprises deploying AI at scale. That creates a feedback loop where deployment shapes our research and our research shapes the field, and we publish our findings, datasets, and benchmarks openly. Join our talented team at Turing to push the frontier of AI with rigorous science that matters. Why Turing Work directly with leading AI labs and enterprises at the frontier of post-training and RL environment design. Build datasets and environments that directly improve the capabilities of advanced AI systems. Help advance coding agents’ ability to understand, plan, and execute complex software-engineering tasks. Apply frontier AI innovations to high-value enterprise workflows. Operate with high autonomy, rapid iteration, and meaningful commercial impact. Collaborate with exceptional colleagues from organizations including Google, Meta, Amazon, and other leading technology companies. Contribute to research that may be shared through technical publications and leading conferences such as ICLR, ICML, and NeurIPS. Compensation: $250,000 to $350,000 OTE + Equity Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace  and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here .

Location: Milwaukee, WI If you like variety and challenge and take satisfaction from knowing your work supports modern construction, consider joining the Michels Construction, Inc., Our business spans across North America and, we approach each project with a desire to deliver the safe, high-quality, cost-effective work with minimal inconveniences to users. The heavy civil industry is broad, and so are our services. Our projects include Wharfs and ports, Dams, water resiliency, wastewater treatment plants, pump stations, bridges, railways, and more. Our work improves lives. Find out how a career at Michels Construction, Inc. can change yours. The Senior Superintendent, Heavy Civil role supports field operations by coordinating schedules and resources, communicating scope to Foremen, and ensuring safety processes like JSAs and inspections are completed. Responsibilities include attending client meetings, managing materials and tooling needs, verifying daily QA/QC and as‑built documentation, reviewing time and field reports, and working closely with the Project Manager. This position also helps develop Foremen and trade staff while contributing to efficient, safe, and consistent project execution. Why Michels Construction, Inc.? We support dynamic and growing industries We are family owned and operated We invest an average of $5,000 per employee on training each year We reward hard work and dedication with limitless opportunities We are a part of the Michels family of companies – one of North America’s largest, most diversified energy and infrastructure contractors Michels offers a comprehensive benefits program, subject to eligibility requirements, including medical insurance, dental insurance, life insurance, flexible spending accounts, health savings account, short-term and long-term disability insurance, 401(k) plan, legal plan, and identity theft and monitoring plan. 15 to 25 days of paid time off and 8 paid holidays annually. Why you? You thrive in fast-paced environments under tight deadlines You relish new challenges and evolving technology You enjoy collaborating and communicating with your teammates You like to know your efforts are noticed and appreciated You have a serious commitment to safety You lead by example What it takes: 10+ years of related experience and/or training in construction industry Experience with Heavy Civil project is required Must possess a valid driver license for the type(s) of vehicles which may be driven and an acceptable driving record as determined by the Michels Review Team Ability to travel and commit to long term onsite projects #LI-HV1 AA/EOE/M/W/Vet/Disability https://www.michels.us/website-user-privacy-policy/

Location: Kyiv, Ukraine Workplace: Hybrid [https://app.ashbyhq.com/api/images/user-content/eaa93aea-4a8e-480b-ac45-957f53a8b99b/230615d5-1e71-4618-8216-a6082a6261ae/Holy%20earth.png] HOLYWATER TECH https://holywater.tech/ — це технологічна компанія, яка створює розважальні продукти на перетині людської творчості та штучного інтелекту. Вони є прикладами ШІ-нативних платформ, що переосмислюють способи сторітелінгу та дають змогу будь-кому стати творцем. Екосистема продуктів HOLYWATER TECH включає: → My Drama https://apps.apple.com/us/app/my-drama-watch-shorts-movies/id6498713494 — стримінгову платформу вертикальних серіалів, №1 серед європейських та американських компаній у ніші → My Passion https://apps.apple.com/us/app/my-passion-romance-books/id1568149521 — цифрову бібліотеку книг №1 у понад 10 країнах світу → My Muse https://apps.apple.com/ua/app/my-muse-audiobooks-stories/id6738098034 — платформу ШІ-генерованих серіалів, що відкриває нову еру сторітелінгу ___________________________________________________________________________ HOLYWATER TECH СЬОГОДНІ — ЦЕ: - понад 100+ млн завантажень застосунків - стратегічне партнерство з FOX Entertainment - х2 рази — щорічне зростання компанії за 2024-2025 роки - 30+ міжнародних нагород, зокрема Muse Creative, W3, Telly, Runway AI Film Festival, Lovie - понад 100 млн годин переглянутого та прочитаного користувачами контенту - провідні позиції у своїх нішах на ринках США та Європи ___________________________________________________________________________ Ми створюємо нові формати, історії та будуємо світ, де єдине обмеження — людська уява. І зараз шукаємо HelpDesk & IAM Operations хто готовий/-а долучитися й творити його разом із нами. ТВОЯ МІСІЯ: - Разом із нашим IAM-спеціалістом забезпечувати стабільну першу лінію IT та IAM звернень для команди HOLYWATER TECH. - приймати, діагностувати й закривати звернення колег щодо акаунтів, доступів, пошти, VPN і робочого софту; - створювати, змінювати й відкликати доступи за погодженими правилами та апрувами; - проводити onboarding і offboarding співробітників: акаунти, пошта, Slack, 1Password, Okta, MFA; - виконувати операції в Okta та інших корпоративних сервісах: користувачі, групи, призначення застосунків; - щоденна робота з AI, орієнтовно 2+ години на день: розбір нових сервісів і документації, перевірка гіпотез, робота з даними, документування; ___________________________________________________________________________ ДЛЯ ЦЬОГО ЗНАДОБЛЯТЬСЯ ТАКІ НАВИЧКИ ТА ДОСВІД: - розуміння основ керування ідентичностями: користувач, група, роль, MFA, SSO, життєвий цикл доступу; - розуміння принципу найменших привілеїв і того, навіщо потрібне погодження доступу; знання, що відбувається з даними та сесіями під час блокування чи видалення акаунта; - досвід розв'язання технічних звернень користувачів: вмієш відтворити симптом, відділити проблему акаунта від проблеми пристрою чи мережі, перевірити гіпотезу та якісно ескалювати; - вміння разом з AI створити робочий скрипт або n8n-флоу, під'єднати API, протестувати на реальних сценаріях і пояснити логіку та обробку помилок (конкретна мова програмування не важлива); - базове розуміння API, JSON, авторизації та типових помилок; - досвід роботи з даними: звірка списків із різних систем, пошук дублікатів і пропусків, пояснення розбіжностей; - вміння вести звернення й задачі: фіксувати запит, пріоритет, власника, наступний крок і результат; - сервісний підхід: спокійно пояснюєш рішення нетехнічним колегам, тримаєш обіцянки щодо оновлень і доводиш задачу до кінця, навіть коли треба домовлятися з іншими командами. Буде плюсом: - досвід з Okta, Google Workspace, Slack, 1Password або іншим корпоративним IdP чи SaaS-стеком; ___________________________________________________________________________ ЩО ОТРИМАЄШ ВІД НАС: - Швидке професійне зростання. Ми будуємо середовище, де розвиток — норма: лекції, бібліотеки, хакатони, школи. Компенсуємо профільне навчання й вивчення будь-якої мови, зокрема української. - Формат роботи на твій вибір. Можеш працювати вдома, в офісі на київському Подолі чи у Львові (генератори, укриття, обіди, снеки — all inclusive), або ж за кордоном — маємо кілька офісів і там. - Техніку та сервіси. Все, що треба для роботи. - Відпочинок. 20 днів відпустки + на офіційні свята та безлімітні лікарняні. - Турботу про тіло та менталку. Компенсуємо спорт, медстрахування в Україні (після випробувального), послуги корпоративного лікаря і підтримку ментального здоров’я& ___________________________________________________________________________ ЧОМУ З НАМИ КЛАСНО? - Реальний вплив. Твої рішення впливають на 100+ млн користувачів — їхній досвід, емоції та час, який вони проводять у продукті. - Жива культура. Ми створюємо середовище, де можна експериментувати й пробувати щось нове. Середня оцінка відповіді на питання «Наскільки тобі подобається працювати в HOLYWATER?» за результатами eNPS — 9,23/10. - Автономність. Ми довіряємо рішенням команди: мінімум мікроменеджменту, максимум простору для ініціативи й впливу. - Сильні люди поруч. Ми постійно челенджимо статус-кво та досягаємо нових вершин. Думати інакше й прагнути більшого — тут це підтримають. Можливо, це — твій шанс стати нашим наступним big name? ___________________________________________________________________________ ХОЧЕШ БІЛЬШЕ ПРО HOLYWATER TECH? ЧЕКНИ ЦЕ: Як працює HOLYWATER TECH — на Vector Media https://vctr.media/ua/vid-banochki-svyatoyi-vodi-zi-lvova-do-ugodi-z-fox-entertainment-yak-praczyuye-holywater-startap-yakij-buduye-netflix-dlya-vertikalnogo-video-318305/ Інтерв’ю со-CEO Богдана Несвіта https://www.linkedin.com/in/bogdannesvit/ про партнерство FOX Entertainment для Forbes https://forbes.ua/innovations/maemo-60-mln-koristuvachiv-i-rostemo-duzhe-shvidko-ukrainska-holywater-znimatime-vertikalni-seriali-z-amerikanskoyu-fox-yak-vona-zaluchila-takogo-partnera-intervyu-25102025-33594 Як ми створюємо вертикальні серіали — у подкасті на DOU https://youtu.be/E5nKjr605vs?si=eHKKN6MhQrbEzi8k Про вертикальні серіали, які змінюють індустрію — у Детектор медіа https://detector.media/mediumy/article/248303/2026-03-13-vid-tiktok-do-gollivudu-prodyuserka-holywater-tech-pro-vertykalni-serialy-yaki-zminyuyut-industriyu/ Наші Instagram https://www.instagram.com/holywater.tech/ та LinkedIn https://www.linkedin.com/company/holywater/?viewAsMember=true — щоб бути в курсі всього, що в нас відбувається Хочеш творити історію разом із нами в HOLYWATER TECH? Відгукнися на вакансію!

Задачи: — Поддержка клиентов на всех этапах: onboarding, консультации по интеграции API, тестирование (sandbox/demo), запуск в продуктив — Ежедневное общение с клиентами на английском и русском языках с использованием CRM HubSpot и Freshchat: ответы на вопросы по продукту, помощь с дашбордом, решение проблем — Перевод запросов клиентов, жалоб и предложений по функционалу в тикеты Jira (с багами и требованиями с шагами воспроизведения и критериями приемки), координация приоритетов с командой разработки — Выступать связующим звеном между клиентами и технической командой, менеджером продукта, командами аккаунт-менеджмента и бизнес-развития — Расследование расхождений в транзакциях, балансах и отчетности, мониторинг метрик продукта и инцидентов, включая SQL-запросы и подготовку экспортов данных для сверки — Управление эскалациями с внешними провайдерами Требования: — 1–2 года опыта в техническом аккаунт-менеджменте или поддержке в финтехе — Опыт работы с финтех-продуктами (платежные решения, банковские продукты, виртуальные карты или подобное) — Английский на уровне Intermediate и выше — Русский язык обязателен — Опыт работы с API: аутентификация, построение запросов (Postman/curl), чтение технической документации — Опыт работы с Jira и Confluence — Умение писать понятные баг-репорты и требования — Базовые знания SQL для анализа данных и сверки Условия: — Удаленная работа — Компенсация занятий по английскому языку — Гибкий старт рабочего дня

Location: Office, EU We are the creators of a new fintech era! Our mission is to revolutionize the world by making blockchain technology accessible to everyone in everyday life. WhiteBIT is a global team of more than 1,500 professionals united by a shared vision of shaping the future. We are building our own blockchain ecosystem to ensure maximum transparency and security for over 8 million users worldwide. Our cutting-edge solutions, rapid adaptation to market challenges, and technological excellence set us apart from traditional companies. Our official partners include Juventus, FC Barcelona, Lifecell, FACEIT, and VISA. Join us as a Head of Data Platform. Requirements Education & Experience: — MSc in computer science, mathematics, statistics, physics or another quantitative field; PhD is a plus, not a requirement — research-grade methodology sits with the Quantitative Researcher — 5+ years in data engineering / analytics, incl. lead / management experience; built a trading / financial data platform from zero at a crypto exchange, HFT / electronic-trading firm, market maker, or trading fintech. Bank / enterprise-DWH background alone does not qualify — Personally carried production ownership of money data — trades, balances, positions, P&L — where a data error is a financial error Core Technical Skills — data platform: — Hands-on today: designs and ships pipelines personally — advanced SQL and Python; ClickHouse (or kdb+ / comparable columnar OLAP) in production — Streaming and batch in one architecture: Kafka or equivalent, event feeds with second-grade freshness alongside hourly aggregates; trading-day logic — metrics counted within a trading day that starts and ends at a fixed morning hour, with an automatic daily reset — Optimizes data footprint and computational overhead across every stage: selects the tech stack, partitioning logic, and execution flow based on cost-to-performance impact — Data-correctness engineering: reconciliation, idempotent backfills, late / duplicate event handling, data-quality monitoring and lag alerting — Vendor and API integration: institutional market-data providers (Kaiko / Amberdata class), exchange APIs, FX feeds; schema design and documentation others can build on Core Technical Skills — analytics & applied math: — Applied statistics at a working level: distributions, hypothesis tests and confidence intervals, correlation vs causation, time-series and aggregation pitfalls (session boundaries, survivorship, outliers) — enough to catch a methodological error in an analyst's query or notebook, and to have designed or reviewed metric / experiment methodology in past roles — Metric and semantic design: one written definition per metric (P&L, uptime, spread, fill rate) enforced across every report; analytical data models (marts / star schemas) that make those definitions computable and cheap to query — BI stack governance: Tableau / Grafana — performance, access control, versioned metric definitions; reviews dashboards for correctness rather than building them all himself — ML literacy: understands when a model is — and is not — needed and can supervise applied work; research-grade modeling remains the Quantitative Researcher's mandate Market & Domain Knowledge: — Trading data from practice, not textbooks: maker/taker, fees and rebates, perpetual funding, realized / unrealized P&L, inventory and exposure, order-book depth and spread, slippage, quoting uptime — Understands the consumers: how analysts, quants and desk heads use the data, and how market-quality / compliance metrics feed liquidity-provider terms — Has built and run a mixed organisation of data engineers and analysts: separate hiring bars and growth tracks, peer review of queries and dashboards as a standard, methodology documented before a number ships — Partners with quantitative research: turns the Researcher's methodology into production metrics and dashboards without distorting it; runs the sign-off process with quant and desk stakeholders — Treats balances and client data as confidential by default: access control, least privilege, audit trail, no raw-data leaks — Never ships silently wrong numbers: escalates early, cuts scope consciously, flags uncertainty in the data Mindset & Soft Skills: — Player-coach: the first months are personal hands-on delivery; scaling through the team runs in parallel, not instead — Speaks business: reports status in money and deadlines; prioritizes by P&L impact — which dataset unblocks which decision; no jargon walls with management and stakeholders — Owner of the direction's technical goals, not of a backlog: takes a business problem, decomposes it into tasks, executes and delegates Responsibilities - Platform — Architect and ship the central data warehouse: every trade, position, balance and P&L across all trading services; an hourly contour for BI plus a real-time contour for monitoring; trading-day logic with automatic daily reset — Build the data layers behind LP terms: market quality (spread, depth near mid price, fill rate, per-order slippage), quoting-uptime start/stop events per maker and pair, external tier-1 benchmarks and FX feeds for regional fiat pairs — Close the data debt: gaps in realized-P&L coverage, history backfills, broken monitoring services — restore or replace — Set and hold agreed data-freshness targets and pipeline-health alerting; own schemas and documentation — Own analytics delivery end-to-end: the KPI rulebook published and signed, financial / attribution / historical-performance dashboards, compliance screens and provider scorecards — Enforce a single semantic layer: one definition per metric across every report; methodology documented before a dashboard ships — Quality gate: numbers are reviewed and challenged before they reach management; sign-offs from quant / desk collected per deliverable Responsibilities : — Hire leaders-first and onboard the technical team (~10 people: data engineering, analytics & BI, technical PM) per the approved hiring plan; hand tasks down without losing velocity — Single interface to exchange tech (requirements, acceptance, freshness targets) and to analytics / quant stakeholders; run delivery in Jira against the approved one-year roadmap — After the build: run the platform as a service to the direction — researcher-generated tasks, new metrics and pair groups, regular recalibration. Working terms Immerse yourself in Crypto & Web3: Master cutting-edge technologies and become an expert in the most innovative industry. Work with the Fintech of the Future: Develop your skills in digital finance and shape the global market. Take Your Professionalism to the Next Level: Gain unique experience and be part of global transformations. Drive Innovations: Influence the industry and contribute to groundbreaking solutions. Join a Strong Team: Collaborate with top experts worldwide and grow alongside the best. Work-Life Balance & Well-being: Modern equipment. Comfortable working conditions, and an inspiring environment to help you thrive. 22 business days of paid leave. Additional days off for national holidays. Your privacy matters to us. You can learn more about how we handle your personal data with regard to your application in our Candidate Privacy Notice .

Location: Netherlands At Catawiki, every day brings the extraordinary! Whether it’s Daniel Ricciardo’s Formula 1 Car , a Woolly Mammoth’s Skeleton , Lady Gaga's Jumpsuit or Usain Bolt’s running shoe , we encounter exceptional objects every day. We’re a one-of-a-kind marketplace for buying and selling special objects. Each week, more than 100,000 unique items are auctioned, all carefully curated by our passionate in-house experts. Having sold over 25 million unique objects, our mission is to become the world’s most popular destination for special objects. As a growing, diverse and sustainable scale-up, we proudly live by three core values. If these values resonate with you, we’d love to explore how you can join us. Taking ownership and driving impact Being open to change and feedback Being passionate about our mission and our customers. About the role As IT Support Lead, you will play a central role in delivering a reliable, secure, and high-quality technology experience for Catawiki employees. You will lead the day-to-day IT support function, ensuring colleagues receive timely and effective assistance while continuously improving our processes, service standards, and employee experience. This is a hands-on leadership role combining technical support, operational ownership, team development, and stakeholder management. You will remain closely connected to day-to-day support while helping the team work consistently and effectively. You will oversee the employee IT lifecycle from onboarding to offboarding, with a focus on frontline service delivery, endpoint support, eSIM services, IT inventory, logistics, workplace technology, and operational improvements. What you’ll do IT Support Leadership & Employee Experience Lead the daily IT support operation, ensuring incidents and requests are prioritised, tracked, communicated, and resolved effectively. Provide hands-on support across hardware, software, identity, access, network, and collaboration tools. Serve as an escalation point for complex technical issues and employee-impacting incidents. Establish and maintain high standards for IT support quality, responsiveness, documentation, and customer experience. Coach, mentor, and support IT colleagues, helping them develop their technical skills and adopt consistent ways of working. Monitor support trends, service levels, recurring issues, and employee feedback to identify improvement opportunities. Build and maintain a knowledge base of technical documentation, how-to guides, and FAQs. Proactively improve the employee IT experience through scalable processes, automation, and user-friendly solutions. Help ensure a smooth and consistent employee experience throughout onboarding, internal transfers, and offboarding. IT Systems Support & Service Operations Act as the primary operational contact for employees requiring support with core IT systems and workplace technology. Support the day-to-day operation of Okta, Google Workspace, Slack, Jira/Confluence, Jamf, and other business applications. Handle user-facing support, troubleshooting, access requests, onboarding activities, and issue escalation in line with established processes and policies. Carry out approved operational tasks such as user provisioning, access changes, device enrolment, software deployment, and equipment configuration. Escalate complex platform issues, recurring problems, and system risks with clear documentation and impact assessment. Support the testing, rollout, and adoption of system changes, upgrades, and new tools. Maintain accurate support documentation, operating procedures, and knowledge-base articles. Gather employee feedback and recurring support insights to help improve system configuration, processes, and usability. Manage eSIM services, including provisioning, activation, replacement, deactivation, troubleshooting, and lifecycle administration. Manage relationships with eSIM providers and ensure reliable service, clear ownership, and effective issue resolution. IT Operations, Inventory & Logistics Own IT asset management, including procurement, inventory, allocation, repairs, replacement, and lifecycle management. Maintain accurate records of laptops, mobile devices, accessories, eSIMs, software licences, and other IT equipment. Coordinate equipment delivery, collection, storage, repairs, replacement, and secure disposal. Ensure employees receive the right equipment, connectivity, and access at the right time. Manage relationships with hardware, software, eSIM, logistics, and other IT service providers. Track orders, deliveries, stock levels, warranties, repairs, and supplier performance. Identify opportunities to improve IT inventory controls, logistics processes, and equipment availability. Support office technology, including Wi-Fi, printers, meeting-room equipment, conference-room AV, and other workplace infrastructure. Coordinate and contribute to IT projects such as office moves, system upgrades, technology rollouts, and infrastructure improvements. Security, Compliance & Risk Management Help enforce IT security policies, standards, and procedures across the organisation. Maintain strong controls around identity, access, devices, software, eSIMs, and company data. Respond to and remediate security incidents, alerts, and vulnerabilities in collaboration with the broader IT and security teams. Support access reviews, device compliance checks, audits, and vulnerability assessments. Promote security awareness and help employees adopt secure working practices. Ensure IT processes are documented and aligned with relevant compliance and data-protection requirements. Escalate potential security risks promptly and help ensure appropriate follow-up actions are completed. Service Improvement & Stakeholder Management Develop and improve IT support processes, workflows, service catalogues, escalation paths, and operating procedures. Use support data and employee feedback to identify recurring issues and improvement opportunities. Partner with IT and business stakeholders on system changes, process improvements, and technology rollouts. Communicate clearly during incidents, changes, and service disruptions, keeping stakeholders informed. Contribute to IT planning and prioritisation by providing insight from day-to-day employee support. Help create a consistent and scalable IT service as Catawiki continues to grow. Promote a culture of ownership, collaboration, knowledge sharing, and continuous improvement. What you’ll bring 3–5 years of experience in IT support, workplace technology, IT operations, or a related field. Experience leading, mentoring, or managing people, ideally with 2–3 years in a team-lead or people-management capacity. A track record of combining hands-on technical support with operational ownership and team leadership. Strong experience supporting users across macOS, Google Workspace, Slack, Jira, Okta, Jamf, and related workplace technologies. Experience managing the employee IT lifecycle, including onboarding, offboarding, access requests, and equipment provisioning. Experience with mobile connectivity, eSIM administration, telecom providers, or related IT services is a strong advantage. Experience managing IT assets, inventory, logistics, vendors, and office technology. Ability to work effectively within established processes for system changes, access management, and incident escalation. A practical understanding of IT security principles, device compliance, access controls, and incident response. Strong organisational skills and the ability to prioritise effectively in a fast-paced environment. Excellent problem-solving skills, with a focus on root-cause analysis and sustainable solutions. A customer-focused mindset and the ability to build trust with employees at all levels. Strong communication and stakeholder-management skills in English, both written and verbal. Additional Portuguese language skills are a plus. The ability to coach and support colleagues, share knowledge, and create clarity in a changing environment. A proactive, resilient, and collaborative approach, with a strong sense of ownership. A hands-on mentality and willingness to be physically present in the office four days a week. A passion for learning and staying current with emerging IT, security, and workplace technology trends. Why You'll Love Working with Us Create a visible impact by working at scale in a global organisation serving millions of customers across 80+ categories. In our flat structure, every role has a broad scope and directly impacts both our customers and the business. Learn and grow through our Learning & Development initiatives, including clear development plans and mentorship programmes to support your career progression. A culture of connection defines us . We’re a passionate, diverse team of 800+ Catawikians representing 60+ nationalities. We foster an inclusive and queer-friendly environment where everyone is encouraged to bring their full self to work. Celebrate life’s moments with us. You’ll receive a €100 Catavoucher when you join, a €50 Catavoucher on your birthday, and an extra day off each year to “Pursue Your Passion ” . We also offer additional leave for key work anniversaries and important life events. Benefits may vary by location. Our Offices and Way of Working Our vibrant offices in Amsterdam and Lisbon are designed to inspire collaboration. Most Catawikians operate in a hybrid setup, combining office-based and remote work, with a minimum of two days per week in the office, unless a role is explicitly stated as fully remote or fully office-based. Interested? Apply with an English CV and Cover Letter. By applying, you agree to Catawiki’s Applicant Privacy Policy. If you’re excited about this role but don’t meet every requirement, we still encourage you to apply anyway. You may be just the right candidate for this or other roles. We may use artificial intelligence (AI) tools to support the review of your application. AI may help us assess how your experience matches the requirements of the role, but hiring decisions are always made by our recruitment team

Задачи: — Анализировать процессы и находить задачи для автоматизации — Создавать AI-решения для смет, коммуникации, контента и базы знаний — Интегрировать Telegram, Google Calendar/Tasks/Sheets, OpenAI — Работать с Railway и Supabase — Тестировать решения, исправлять баги и контролировать качество — Следить за достоверностью данных, особенно в финансовых задачах — Измерять эффект от автоматизации Требования: — Высшее образование в программировании — Опыт от 3 лет — Знание Claude Code, Cursor, Copilot, ChatGPT — Умение читать, править и дорабатывать код на Python — Опыт создания готовых решений через Cursor / Claude Code — Ответственность за результат и внимательность к деталям Условия: — Полностью удалённо — До 100 000 ₽ на руки — Выплаты 2 раза в месяц — Оформление по СЗ — Отбор: HR → тестовое → CEO → рекомендации → 3-дневная стажировка

Location: Serbia; Latvia; Lithuania; Ljubljana; Moldova; Belarus; Georgia; Kyrgyzstan; Uzbekistan; Azerbaijan; Armenia; Czech Republic; Portugal; Spain; Dubai Workplace: remote About the Team We are Quadcode, a fintech company excelling in financial brokerage activities and delivering advanced financial products to our global clientele. Our flagship product, an internal trading platform, is offered as a Software-as-a-Service (SaaS) solution to other brokers. About the role We're looking for a Linux Administrator to join our Infrastructure team, responsible for building, operating and continuously improving all of our infrastructure services — from core services to observability and private clouds. Our infrastructure supports the stable operation of a large-scale trading platform and includes 2,000+ virtual machines and 300+ physical servers, running predominantly on Ubuntu. The stack ranges from core services like LDAP, PowerDNS and NTP, to an observability stack (Prometheus, Thanos, Loki, Grafana, Jaeger) and private clouds based on OpenStack and Kubernetes, as well as services such as GitLab, Artifactory and Vault. You’ll work in a team of experienced infrastructure engineers, using Scrum and Agile practices, with two-week sprints and a strong focus on automation, reliability and continuous improvement. The position is full-time remote, with a flexible start time — anytime before 12:00 pm EET/EEST. Why this role? You’ll be part of the team responsible for the production environment behind products used by millions of users, working directly with development teams, helping them troubleshoot infrastructure-related issues and keep their services running reliably in production. It’s a good fit for an engineer who enjoys troubleshooting, automation and making infrastructure more reliable and scalable, rather than simply maintaining servers. Tasks Oversee various services and associated infrastructure components, including DNS, Gitlab, Artifactory, Vault, Loki, Prometheus etc; Perform day-to-day operational tasks such as upgrades, CVE patching, backup and restore, security scans, and monitoring; Manage and support private clouds (Openstack and Kubernetes); Design, configure, maintain and troubleshoot Linux systems across different environments, including bare metal, virtual machines and containers. Resolve incidents, provide support coverage, categorize issues, conduct post-mortems, and perform root cause analysis; Ensure environments are stable and adhere to availability SLAs; Work towards reducing operational effort; Automate repetitive operational tasks and continuously reduce manual effort; Collaborate with development teams to troubleshoot infrastructure-related issues in production; Keep infrastructure documentation and operational procedures up to date; Engage in constant upskilling to stay updated with industry best practices. Requirements 3+ years of professional experience as a Linux System Administrator, DevOps Engineer, or Site Reliability Engineer, with a focus on infrastructure. Extensive experience in designing, building, configuring, and troubleshooting Linux servers across various environments (bare metal, container, cloud); Experience with Linux server configuration, maintenance and troubleshooting in production. Understanding of process control, logging and Linux service management. Experience with infrastructure services such as Vault, Artifactory, DNS and similar platform components. Proficiency with automation tools such as Chef, Ansible, or Salt; Experience with Docker, Kubernetes and containerized environments; Experience with monitoring and log aggregation tools like Grafana, ELK, or Graylog; Experience in deploying and maintaining systems on cloud solutions such as OpenStack, VMware, Proxmox, or public cloud platforms such as AWS, GCP, Azure. Skilled in scripting languages such as Bash and Python; Familiarity with configuring various servers and databases, including Apache Tomcat, Nginx, MySQL DB, PostgreSQL, Kafka, RabbitMQ, etc; Experience with DevOps tools and CI/CD workflows. At least C1 in Russian and B1 in English. Nice to have Hands-on experience with Kubernetes, including troubleshooting workloads and cluster-related issues. Hands-on experience with OpenStack, including deployment, configuration, maintenance or troubleshooting of private cloud environments. Hands-on experience with Chef. Experience with GitLab CI/CD, Jenkins or GitHub Actions. Experience working with fintech/trading, or other high-load and mission-critical systems. We offer Full-time remote work (service provider contract). Competitive compensation (EUR). Flexible working hours. Corporate AI subscriptions (Claude, Gemini, GPT, etc.). Access to a rewards marketplace offering products and language courses, redeemable using the company’s internal currency. A strong team of engineers. Positive and friendly atmosphere. With a team of 500+ creative and tech-driven people across the globe, Quadcode is the place where ideas turn into impact, where every project is a chance to grow, innovate, and make your mark. Join us today, and let's shape the future of fintech together! Note: All applications will be treated with strict confidence. We thank all applicants for their interest, however, only those candidates selected for interviews will be contacted. #LI-JM1

Задачи: — Полная ответственность за техническое направление AI-разработки: от быстрых экспериментов до production-ready моделей. — Техническое лидерство. — Определение архитектурных подходов, выбор моделей, технологического стека. — Проведение code review, менторство инженеров, повышение планки качества.

Задачи: — Обучение ML-моделей под разные задачи, включая прогнозаторы кликов, конверсий, ставок и работу с аукционами. — Обучение мультиязычных NLP-моделей и адаптация решений под особенности конкретных стран. — Строительство end-to-end ML-пайплайнов: сбор и подготовка данных, офлайн- и онлайн-метрики, оптимизация инференса. — Совместная работа с продуктовой и технической командами, участие в инженерных и продуктовых решениях. Требования: — Опыт построения end-to-end ML-пайплайнов и доведения решений до продакшена. — Желание заниматься прикладными ML-исследованиями. — Практический опыт в NLP или RecSys. Условия: — Корпоративная подписка на чекапы, спорт, терапию, образовательные курсы и другие бонусы в Яндексе.