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Location: 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 The demand for reliable, resilient, and innovative power infrastructure has never been greater. Our team partners with utilities, developers, industrial clients, and communities to design the facilities that keep the lights on and economies moving. From new generation facilities and plant upgrades to grid modernization and emerging energy technologies, our engineers solve complex challenges that have a lasting impact. We’re building a team of talented engineers who want more than just a job. Our team wants to shape the future of power generation, work alongside industry experts, and leave their mark on projects that power millions of lives. If you thrive on technical challenges, ownership, and the opportunity to grow your career while building something meaningful, we’d love to meet you! As a Lead Engineer, you will be the technical cornerstone for helping build the Power Generation Design group. You will be involved in team development, client relationships, and project execution. This role is ideal for a highly experienced engineer who enjoys solving complex problems, building teams, business development, and leading project design teams across a variety of power generation projects. What You’ll Do Serve as the key technical resource for the Power Generation Design team. Responsible for establishing engineering standards, defining project execution strategies, and mentoring team members for Power Generation facilities. Lead conceptual design through detailed design efforts for: Power Plant Site Planning Generator Systems MV/LV Distribution Balance of Plant (BOP) Electrical and Mechanical Design Process Automation & Control Comfortable with “blank paper” starting points and guiding clients and project design teams through the full design and construction process. Establish design templates, checklists, and QA/QC standards. Collaborate with multidisciplinary teams (mechanical, electrical, civil, structural, etc.) to deliver integrated solutions. Serve as the Technical Authority in client meetings and design reviews. 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: A bachelor’s degree in Electrical, Mechanical, Chemical Engineering, or a related field 8+ years of progressive engineering experience, including experience as a Lead Engineer, Owner’s Engineer, or Technical Principal At least 4 years of experience supervising, mentoring, and/or leading technical personnel Demonstrated ability to lead technical work while supporting multiple projects simultaneously A strong understanding of power systems, generation interconnection, and high-voltage infrastructure Experience collaborating within multi-disciplinary design team environments A Professional Engineer (PE) license Ideally, you also have: 10+ years of experience in power generation, utility, or related industrial power design projects Experience with one or more of the following: Combined Cycle, Simple Cycle, RICE, Steam, BESS, and/or Microgrids A builder’s mindset and a passion for working in environments that value autonomy and initiative #LI-DD1 The typical annual salary range for this role is as listed below. Compensation may vary based on geographic location, experience, and qualifications. Employees in this role may be eligible for our performance‑based bonus and merit increases. National Pay Range $118,000 — $243,000 USD 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: Remote - United States Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . The opportunity Build the machine learning capabilities that help advertisers understand what they could achieve on Reddit and make better investment decisions. On the Forecasting team, you will develop models that estimate how campaign outcomes could change with different budgets, bids, audiences, creative performance, or objectives. Your work will connect supply and demand forecasting, audience availability, and response prediction to help advertisers compare alternatives and identify valuable opportunities. This is a hands-on role with end-to-end ownership of forecasting models and production capabilities. You will drive projects from problem formulation and technical design through evaluation, deployment, and iteration, working closely with engineers and cross-functional partners. What you’ll do Own forecasting and scenario modeling projects. Translate advertiser questions into modeling problems involving delivery, reach, performance, and investment tradeoffs. Develop technical approaches, make practical tradeoffs, and drive execution. Connect inventory, demand, and response. Use signals about available advertising opportunities, audience activity, marketplace competition, and predicted response to improve estimates of achievable campaign outcomes. Model outcomes under alternative choices. Build and improve models that estimate the effects of changes in budget, bid, audience, or optimization objective, accounting for relevant auction dynamics and campaign constraints. Help advertisers identify opportunity. Incorporate predictions from partner teams, including creative-performance estimates, to evaluate potential improvements in delivery, efficiency, or advertiser value. Improve model generalization. Develop approaches for sparse segments, cold start, seasonality, delayed feedback, and changing marketplace conditions. Choose methods that balance predictive quality, complexity, and production requirements. Build trustworthy evaluations. Measure forecast accuracy, calibration, uncertainty, and performance across advertiser cohorts. Document modeling assumptions and limitations, and work with partners to determine which scenario comparisons the evidence supports. Close the learning loop. Compare predictions with mature outcomes, investigate systematic errors, and use experiments and observed results to improve forecasts and validate scenario estimates. Deliver reliable production systems. Own training, inference, monitoring, and iteration for your models. Collaborate with Product, Data Science, Ads Delivery, Audience, and Creative teams; contribute to design and code reviews; and mentor engineers through project work. What we’re looking for Experience independently designing, shipping, and improving predictive ML systems in advertising, marketplaces, recommendations, search, forecasting, or similarly complex domains. Strong foundations in statistical learning, probability, and optimization, with experience working with large-scale behavioral or transactional data. Practical experience in at least one relevant area, such as forecasting, response prediction, probabilistic modeling, multitask learning, or transfer learning. Sound evaluation judgment, including temporal validation, segment-level analysis, and an understanding of calibration, uncertainty, and the limits of predictions under changed conditions. Experience diagnosing and addressing modeling challenges such as sparse observations, cold start, seasonality, distribution shift, selection bias, or delayed labels. Strong programming and software engineering skills, including experience building and operating production ML pipelines and services. Demonstrated ability to turn ambiguous product questions into concrete technical plans, lead projects through rollout, and collaborate effectively across functions. Preferred experience Experience in one or more of: Demand, supply, and inventory forecasting: Advertising inventory, marketplace demand, traffic, retail demand, or capacity forecasting, including time-series methods, hierarchical or global models, and multi-horizon prediction. Auction and investment modeling: Auction simulation or replay, win-rate and price prediction, bid/budget response curves, or constrained optimization. Scenario evaluation: Counterfactual or off-policy evaluation, sensitivity analysis, uncertainty propagation, or combining predictive models to estimate campaign outcomes. Reach and audience estimation: Population and overlap estimation, reach/frequency models, sampling correction, or saturation modeling. Probabilistic and response modeling: Quantile or distributional prediction, calibrated conversion/value prediction, or delayed-feedback modeling. What success looks like You independently deliver and operate forecasting capabilities that improve accuracy and calibration for priority advertiser populations. Your models support credible comparisons of campaign alternatives, have clear evaluation and monitoring, and help advertisers make better planning and investment decisions. Benefits: Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave #LI-AK1 Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $216,700 — $303,400 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Location: New York, NY; Pittsburgh, PA Our mission at Duolingo is to develop the best education in the world and make it universally available. It’s a big mission, and that’s where you come in! At Duolingo, you’ll join a team that cares about finding innovative solutions to complex technical problems , running countless experiments (300+ at a time!) with our massive user base to make data-driven decisions, and educating our users and employees alike. You’ll have limitless learning opportunities, mentorship and collaboration with world-class minds, and a variety of projects with large scopes — while doing work that’s both fun and meaningful. Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world. About the role... We are looking for an experienced AI Research Engineer to join our Duolingo Monetization team. The ideal candidate will have a proven track record as an AI research engineer, with extensive experience across various machine learning techniques including large language models, multi-armed bandits, and more. They will have experience at all levels of the ML stack, including feature engineering, developing training data, fine-tuning, reinforcement learning, quality evaluations, deployment, and monitoring. On the Monetization team, we’re building AI systems to improve the learning experience while driving our business, including deploying our research into bandit models to balance revenue and retention. Given the broad set of AI domains, broad experience in AI/ML is highly desirable. 🧠  You will... Join a full-stack team of frontend, backend, and other AI Research engineers, fostering a collaborative and innovative work environment. Contribute to the development and training of bandit models and large-scale neural network models. Collaborate with cross-functional teams to understand their needs, to align the models’ outputs with company objectives. Participate in and help drive strategic product and business decision-making as a member of the Monetization leadership group. Stay up-to-date with the latest developments in machine learning, particularly in LLMs and bandits, and apply this knowledge to drive advancements in our projects. Mentor team members, providing guidance and support in their professional development. Ensure the delivery of high-quality, scalable, and efficient machine learning solutions. ✅  You have... Proven experience as an AI research engineer, for example, in LLMs, bandits, computer vision, or related fields. Strong background in training and fine-tuning large models in an applied setting. Advanced degree in Computer Science, Engineering, or a related field with a focus on machine learning or artificial intelligence, or equivalent experience. Excellent leadership and communication skills, with the ability to manage and inspire a team. Deep understanding of machine learning concepts, frameworks, and best practices. The offered salary is dependent upon several factors, including work experience, skills, and internal peer comparisons. The posted range is subject to change in the future. For this role, base salary is supplemented by equity compensation. We encourage you to talk with your recruiter for more information related to compensation for this role! Salary Range: $220,800 — $331,200 USD Benefits: Take a peek at how we care for our employees' holistic well-being with our benefits here . Job Alerts: Sign up for job alerts here . Accommodations: We will do everything we can within reason to make sure that your interview takes place in an environment that fairly and accurately assesses your skills. If you need assistance or accommodation, please contact accommodations@duolingo.com . Equal Employment Opportunity: Duolingo is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Fraud Warning: Unfortunately, there is a rise in scammers pretending to be real Duolingo employees. Duolingo and our employees will never ask for your Social Security number, bank details, or passport info, and we’ll never ask you to deposit a check, purchase equipment, or exchange money during the interview process. Real Duolingo employees always use an email that ends in @duolingo.com or @recruiting.duolingo.com. Stay alert and double-check these details before sharing any information. By applying for this position your data will be processed as per the Duolingo Applicant Privacy Notice .

Location: New York WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Role Overview: As a Senior Research Engineer in our Safety team, you will play a key role in helping develop safer, more secure, and more reliable models. Your primary focus will be on building tools to enable easy data synthesis, analysis, and management, for complex combinations of real and synthetic data that is used in both model training and evaluation. You will own the cohesive vision of these tooling repositories. You will work closely with a team of research scientists and engineers to create tooling that enables tighter experimentation cycles, better data coverage of the real world, and more scientific rigour. You will have a lot of autonomy and need to be opinionated about what areas of the codebase need elegance and standards, and where that would be overengineering. You will be given high level experimental problems that need to be solved with efficient pipelines, and design and implement the solutions. Your data analysis will collaboratively feed into modelling decisions and experimentation. This role combines expertise in software engineering, statistics, and data science. If any of these topics sound interesting to you, we encourage you to apply. You will be working on the Modelling Safety and Trust team, so interest in these areas is a plus, but is not at all required. Please Note: We have offices in London, Edinburgh, Paris, Toronto, Montreal and New York, but we also embrace being remote-friendly! This role has timezone restrictions (UK, Europe, or ET) but no location restrictions. Key Responsibilities: - Design and implement robust data pipeline tooling that enables frequent, low-friction data generation and annotation - Create cohesive data infrastructure that supports continuous parallel operation with model experimentation - Establish standardized processes for data validation, analysis, and improvement of data both training and evaluation - Collaborate with the ML modeling team to align data capabilities with experimental needs - Maintain opinionated, well-documented solutions that become team standards - Develop systematic analysis frameworks to identify incoming data sources and benchmark coverage gaps Qualifications: - Extremely strong software engineering skills. - Strong statistical skills and experience evaluating scientific experiments related to data collection and model performance. - Proficiency in programming languages such as Python and ML frameworks (e.g., PyTorch) and Big Data Analytics (e.g. BigQuery, SQL) - Demonstrated ability to own complex technical projects from conception to deployment - Opinionated approach to technical architecture with ability to make principled decisions - Understanding of ML data requirements and the intersection of data engineering with modeling workflows Working Location: This role can be based remotely or from one of our office locations listed on the job description - there is no minimum in-office qualification requirement. We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role.   FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: Warsaw Workplace: OnSite - Senior Electronics Engineer - Department: Engineering - Location: Warsaw, Poland - Reports to: Engineering Lead, AOCS Hardware - Employment type: Permanent - Workplace model: Office - Employment is subject to applicable security screening (incl. SUPO)   THE MISSION OF THE SENIOR ELECTRONICS ENGINEER You ensure that our AOCS system delivers reliable and consistent performance through innovative power electronics design and precision control systems. Beyond this, you will also have the opportunity to design other high-speed, high-power, and high-reliability electronics supporting ICEYE's growing constellation of diverse spacecraft. This role is within the Attitude and Orbit Control domain where we are responsible for developing and maintaining the power electronics and control systems that enable our AOCS capabilities. Your job will be to work closely with production teams, operations teams, and software teams to ensure smooth and performant operation of our propulsion systems in development and deployed environments. Expect to be involved in the complete lifecycle of the system - from design phases of next-generation propulsion architectures to maintenance and optimization of existing systems we and our customers operate. We move fast. At ICEYE, you are expected to understand the whole system - not just your slice of it - and to iterate quickly. Designs you work on today can be launching to orbit within months, not years. This is an environment where your decisions carry real weight and your work becomes tangible faster than almost anywhere else in the industry. You will have a direct impact on mission success as the performance and reliability of our AOCS electronics directly affect the operational capabilities we deliver to our customers and the overall performance of our fleet. 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: - Own the full design lifecycle of flight hardware - from first schematics and component selection through bring-up, functional and environmental testing, launch, and on-orbit operations - creating a tight learning and improvement loop at every stage - Develop a deep understanding of the complete AOCS system, including the interplay between power electronics, control systems, and the spacecraft subsystems they drive - Lead the design of power electronics and control electronics for AOCS hardware, including power conversion, distribution, and precision control circuits - Design and optimize power electronics for efficiency, thermal management, and performance across all operational environments - Develop precision analog and data acquisition circuits for power measurement, voltage/current monitoring, signal conditioning, and feedback control - Troubleshoot and resolve issues across the full lifecycle - design, prototyping, manufacturing, field operation, and on-orbit anomalies - Work closely with firmware engineers, FPGA engineers, software developers, and mechanical and thermal engineers to ensure seamless integration - Mentor junior engineers to continuously raise the bar on design and testing practices WHAT WE’RE LOOKING FOR: MUST HAVES: - MSc in Electrical Engineering, Electronics Engineering, or related field with 5+ years of professional experience in high-voltage electronics - Proven expertise in high-voltage electronics (250V+) design, high-voltage topologies, switching architectures, power management, and low-noise power supply design - Advanced analog circuit design: precision measurement, sensor interface and signal conditioning, low-noise amplifier design, and transimpedance circuits - Advanced proficiency with circuit simulation and PCB design tools like, LTSpice and Altium. - Understanding of high-speed signal design: signal integrity, timing analysis, and EMI/EMC principles for noise mitigation in high-voltage switching environments - Experience designing embedded control hardware for power electronics: microcontroller interfaces (ADC, PWM, GPIO), protection circuits (overcurrent/overvoltage detection), fault handling, and safe-state transitions - Experience designing serial communication hardware (RS485, UART) with proper isolation, impedance matching, and protection - Ability to work closely with firmware engineers to define hardware interfaces, protection circuits, telemetry acquisition and develop joint verification test cases - Excellent communication skills and ability to work effectively across multidisciplinary teams NICE TO HAVES: - Hands-on experience with environmental testing (vibration, thermal, radiation, vacuum) and harsh operating conditions - Fundamental understanding of control systems, feedback loops, and closed-loop circuit design - Experience designing solenoid valve driver circuits for high-current on/off switching, including flyback protection and inductive load management - Experience with wide-bandgap semiconductor technologies (GaN, SiC MOSFETs) - Experience with design for manufacturability (DFM) and cost optimization - Proficiency in programming languages (C, Python) for firmware integration or hardware characterization     APPLICATION PROCESS - Talent Acquisition Interview - Hiring Manager Interview - Technical Interview (onsite or virtual), including a Technical Challenge - Hiring Team Interview - Offer Decision WORKING AT ICEYE At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win. HOW WE WORK (OUR VALUES) Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way. - Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions. - See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others. - Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions. - Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift. - Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. BENEFITS Our benefits are designed to support your health and wellbeing—at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process. OUR COMMITMENT TO DIVERSITY, EQUITY AND INCLUSION We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table. We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help. Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com

Location: European Union Company Intro At Toloka AI we create data that powers leading GenAI models and innovations. We work with frontier labs, big tech, renowned AI startups, enterprises and non-profit research organizations worldwide. We use a combination of Experts + Crowd + Tech Platform to teach AI models to reason and evaluate their efficacy and safety. We have experts in more than 50 different domains—from doctors and lawyers to physicists and engineers—and boast one of the most diverse global crowds, representing over 100 countries and speaking 40+ languages . We are a well-funded startup with an enviable portfolio of clients including Anthropic , Amazon , Microsoft , Poolside , Recraft ,  and Shopify . Recently, we secured strategic investment led by Bezos Expeditions and Nebius Group with participation from Mikhail Parakhin , CTO of Shopify and board advisor to leading GenAI companies, who now serves as our Chairman of the Board. Our remote-first team is globally distributed around the world: USA , UK , the Netherlands , Serbia , and more. About position The Forward Deployed AI Engineer Engineer is Toloka's most senior client-facing technical role. You will partner directly with CTOs, VPs of Engineering and ML, research leaders, and applied AI teams, helping them solve complex AI data challenges and translate ambitious model goals into practical, scalable solutions. This is a hands-on role . You will design and build the data-generation , labeling , and evaluation pipelines t hat power the next generation of AI models . Rather than training the models yourself, you'll help clients identify the right data strategy and own the solution from problem discovery through implementation and delivery. Beyond delivering client solutions, you'll help shape how Toloka approaches AI solution engineering - establishing best practices, raising the technical bar across engagements, and mentoring Solution Engineers and Technical Consultants . Why this role is different Every engagement is different. One week you might be designing evaluation pipelines for frontier foundation models, the next helping an enterprise build domain-specific reasoning datasets or synthetic data workflows. This role sits at the intersection of consulting, engineering, and AI. You'll work directly with some of the world's leading AI companies, helping shape how next-generation models are trained and evaluated. What you'll do Executive partnership Act as the primary technical counterpart to CTOs, VPs of Engineering, and research/engineering leadership. Lead executive conversations using a structured, answer-first (BLUF) approach. Manage escalations and expectations with composure and integrity. Build long-term trusted relationships by recommending evidence-based solutions. Data strategy & needs diagnosis Ask excellent questions to uncover the client's real need - the "question behind the question." Understand their model, which metrics they want to move, and how they intend to train or evaluate it. Draw on a solid understanding of how LLMs are trained and fine-tuned to have credible conversations with their technical leaders, understand their data strategy, and proactively propose the data that will solve their problem - with options and rationale ("based on your goal, you likely need this, or this"). Solution engineering & delivery (hands-on) Design and build the data solutions yourself: configure data-labeling components and quality controls, develop user interfaces and AI-driven solutions (e.g. agentic systems, RAG, synthetic data generation), and integrate them into automated, multi-stage pipelines that produce data for AI training and evaluation. Architect and reason about complex, multi-stage solutions end to end; run experiments to prove the pipeline delivers data of the required quality and speed; iterate from MVP toward production. Provide technical leadership across multiple client engagements, establish reusable engineering standards and best practices, and mentor Solution Engineers and Technical Consultants to raise the overall technical bar of the organization. Commercial ownership Own delivery end to end - timelines, quality, and scalability - and the commercial outcome : Gross Margin and Contribution Margin, with the levers, trade-offs, and next checkpoints named, not just described. Identify and drive expansion opportunities. About You No one is expected to meet every requirement below. If you bring a strong combination of client-facing communication, AI/LLM expertise, and hands-on engineering experience, we'd love to hear from you. Executive communication. You can confidently lead conversations with CTOs, VPs, and senior technical stakeholders - clear, concise, structured, persuasive, and calm under pressure. Professional English (C1+) is essential. Strong understanding of modern LLM development. You understand how modern LLMs are trained, fine-tuned, and evaluated (including SFT, RLHF/RLAIF, DPO/PPO, reward modeling, and LoRA/PEFT). You're comfortable discussing these topics with senior technical stakeholders and translating their goals into effective AI data solutions. Hands-on solution engineering. You've designed complex AI solutions, built multi-stage pipelines, and developed AI-driven systems (e.g. agentic workflows, RAG, or synthetic data generation). You're comfortable working in Python (NumPy, Pandas), integrating APIs, and independently prototyping LLM-powered solutions. Solid software engineering foundations. You understand version control, testing, MVP thinking, and iterative development. Experience building production software is a strong plus. Exceptional discovery and problem framing. You enjoy working through ambiguity, asking the right questions, and translating business or research goals into clear AI data and evaluation strategies. Seniority and track record. 8+ years delivering complex AI, ML, or data projects end to end, with experience influencing technical direction beyond individual projects. Experience establishing engineering standards, mentoring engineers, or leading cross-functional technical initiatives is highly valued. Experience in top-tier strategy consulting (McKinsey, Bain, BCG) and/or as an applied ML / LLM engineer is a strong advantage. Ownership mindset. You take responsibility for outcomes, make thoughtful trade-offs between time, cost, and quality, and are comfortable owning both technical and commercial success. Nice to have Hands-on experience training or fine-tuning LLMs and/or building agentic systems (helps you reason about client needs - though the role itself is about building data solutions, not training models). Advanced degree (MSc/PhD) in AI, CS, or a related field. Experience in crowdsourcing and/or data-centric AI, and with fast-paced, multi-project delivery for frontier AI clients. What we can offer Freelance (B2B) collaboration , with a path into a project team if things go well; Flexible, fully remote schedule ( 40 hours per week ); Work at the leading edge of AI development, alongside a dedicated and dynamic team of experts; Projects with customers that are AI industry leaders and well-known household names; Friendly community. [Important Notice] Scam Alert Regarding Fake Job Postings It has come to our attention that an individual or group is fraudulently impersonating Toloka to post fake jobs and solicit personal information from applicants.Please be aware: Official Communication: Our recruiting team will only contact you from an official " toloka.ai " email address. We will NEVER use Gmail, Yahoo, Tolokainc, toloka.inc,  or other personal or seemingly business email accounts. Our Process: We will never ask for your bank account details, credit card number, or any fees as part of the application or interview process. Official Listings: All legitimate job openings are posted on our official careers page: https://toloka.ai/careers#job-list To learn how we collect, use, disclose, and store personal data, check out our Privacy Notice . What to do: If you see a suspicious job posting or have been contacted by someone you suspect is a scammer, please do not provide any personal information. Instead, report the incident to us directly at security@toloka.ai and report the profile/post to LinkedIn.We are taking this matter very seriously and are working with the appropriate parties to resolve it. Thank you for your vigilance! To learn how we collect, use, disclose, and store personal data, check out our Privacy Notice .

Location: ES - Barcelona, Spain Scopely is seeking a highly motivated Engineering Manager (Unity) to join our Playgami team in Barcelona on a hybrid basis! Playgami is Scopely's internal technology platform that powers some of the world's most successful live games. Our products help game teams operate and scale their games, serve millions of daily players, and process the vast amount of data generated across the Scopely ecosystem. As an Engineering Manager, you will lead a team of engineers building the SDKs and tools that enable game teams to deliver exceptional player experiences. You will play a key role in shaping both the technical direction of our products and the growth of the engineers on your team. What You’ll Do Lead, mentor, and grow a team of Software Engineers, including hiring, coaching, and career development Foster a culture of collaboration, accountability, continuous improvement, and engineering excellence Guide the design, architecture, and implementation of features that power world-class games at scale Own the technical quality and delivery of what the team creates, establishing good practices in software development, infrastructure, and distributed systems Ensure our systems are reliable, secure, bug-free, and highly performant Drive a consistent developer experience through well-designed APIs, straightforward integration, and clear upgrade paths Work closely with leadership, product managers, and other engineers to align on goals and execution strategies Manage compatibility across supported Unity versions and platforms, balancing new capabilities with backward compatibility and long-term maintainability Share knowledge, provide feedback, and help colleagues both inside and outside of your team What We’re Looking For Proven experience managing software engineering teams, including hiring, performance management, coaching, and career development Strong leadership skills with a track record of building high-performing engineering teams Excellent written and verbal English communication skills Extensive software development experience, including strong proficiency in C# and practical experience with Unity Strong software design skills, with an understanding of API design, modular architecture, and maintainability Experience building and maintaining SDKs, libraries, frameworks, or shared components used by other engineering teams An understanding of client-side performance, memory management, and debugging complex integration issues A passion for solving complex problems and translating business needs into robust solutions An appreciation for both business context and technical excellence in solution development A collaborative, team-oriented attitude, taking pride in contributing to high-functioning teams Nice to have Familiarity with the gaming industry, live operations, or game development ecosystems Experience developing or integrating native plugins for iOS and Android, including familiarity with the interaction between Unity and native code Experience with or an interest in other game engines, such as Unreal Engine and Godot Experience with SDK versioning, dependency management, distribution, and automated build and release pipelines Experience with SDK diagnostics, crash analysis, and monitoring SDK health across games and devices About Scopely Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play. Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Scopely Explore games businesses — Scopely consistently delivers experiences players love today and return to for years to come. Recognized multiple times as one of the "100 Most Influential Companies in the World" by TIME magazine and one of Fast Company's "World's Most Innovative Companies" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play. Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit: https://www.scopely.com/ . Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official website and verify that all Talent Partner communications come from an email address ending in @ scopely.com . Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact recruiting@scopely.com. Our job applicant privacy policies are available here: California Privacy Notice and EEA/UK Privacy Notice . Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.

Location: Remote We’re looking for a Systems Engineer to join our globally distributed Trading Infrastructure team. This is an end-to-end role: you will work on full-stack infrastructure tasks — from new site/provider setups and environment bring-up to validation testing, troubleshooting, and performance bottleneck analysis. You will collaborate closely with vendors, network and hardware engineers and take ownership of delivering reliable production-ready setups What You’ll be doing Deliver end-to-end infrastructure setups across regions/colocations: bring-up, validation, and go-live readiness Own the systems side of the stack: Linux servers, OS baseline, automation, configuration, and performance tuning Run and improve testing/validation: connectivity checks, load/performance tests, failure testing, and readiness checklists Participate in investigation of complex issues and bottlenecks across layers (OS/kernel/drivers/dependencies) and drive fixes with network/hardware peers and 3rd party vendors Build repeatable automation and rollout playbooks (Terraform/Ansible, scripting, standards) Improve observability: metrics/logs, dashboards, alert tuning, and latency/performance baselines Strengthen operations: runbooks, incident reviews (RCA), change hygiene, and documentation Participate in scheduled on-call rotations to support trading infrastructure and incident response. What we look for in you: Hands-on production experience with Linux and systems troubleshooting Ability to debug across layers and coordinate effectively with network/hardware engineers Solid networking fundamentals (TCP/IP, DNS, routing basics, MTU, packet loss/jitter symptoms) Automation mindset: bash/Python; Terraform/Ansible experience is a plus Strong written and verbal communication (clear status updates and documentation) Passion for technology and continuous learning Nice-to-Have: Low-latency / performance tuning experience (CPU/IRQ affinity, NIC tuning, etc.). Colocation / provider coordination experience (setups, acceptance, troubleshooting) Time synchronization basics (NTP/PTP) and practical impact on production systems Interest or experience in trading / exchange / broker connectivity Why should you join our team? Exciting challenges with ample opportunities for personal and professional growth A welcoming international team of highly qualified professionals Cutting-edge hardware and technology Work remotely from anywhere in the world Access any of our global offices anytime Flexible schedule 40 paid days off Competitive salary

Location: South Africa; Pakistan; Philippines; India About Huzzle At Huzzle, we connect high-performing professionals with global companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries like SaaS, MarTech, FinTech, and EdTech. We match top talent to full-time remote roles where they’re hired directly into client teams and provided ongoing support by Huzzle. Role Type: Full-time Engagement: Independent Contractor About the Company Our client is a rapidly growing AI-powered software company transforming digital validation processes within the pharmaceutical, biotechnology, and medical device industries. Their platform leverages artificial intelligence and automation to dramatically reduce validation timelines and costs, helping regulated organizations accelerate innovation while maintaining compliance and quality standards. As a fast-growing scale-up, the company offers the opportunity to work on meaningful technology that directly impacts life sciences teams around the world. Job Summary We are looking for a Junior Support Engineer to join a growing engineering team supporting customers across the life sciences industry. This is an excellent opportunity for an early-career software engineer who enjoys debugging technical issues, solving customer problems, and working directly with modern web technologies. As the first point of technical support, you will investigate customer-reported issues, diagnose bugs, implement fixes, and communicate solutions clearly to customers. You’ll work closely with engineering, product, and QA teams while gaining hands-on experience across the full software stack. Key Responsibilities Quickly learn and understand the company’s Next.js, React, Node.js, and Supabase codebase. Investigate customer-reported issues and reproduce bugs within the application. Use Cursor or similar AI-powered development tools to trace errors and identify root causes. Debug front-end and back-end systems, including APIs, databases, and application logic. Implement maintainable fixes using TypeScript across the application stack. Improve edge-case handling, reliability, and overall application performance. Draft clear and professional customer emails explaining issues, resolutions, and next steps. Provide calm and empathetic support during high-pressure customer situations. Collaborate with product, QA, and engineering teams to prioritize and resolve issues. Assist with patch releases and ongoing platform improvements. Update internal documentation, runbooks, and knowledge base articles to improve future support processes. Requirements Experience developing applications using JavaScript and TypeScript. Hands-on experience with Next.js, React, Node.js, Supabase, and SQL. Strong debugging, troubleshooting, and problem-solving skills with excellent attention to detail. Ability to work independently, take ownership of issues, and drive resolutions to completion. Excellent written English communication skills and the ability to explain technical concepts to non-technical users. Comfortable communicating directly with customers and diagnosing technical issues in a professional manner. Experience using modern development workflows, version control systems, and software engineering best practices. Experience independently shipping software features or contributing to production applications is preferred. Exposure to AI-assisted development tools such as Cursor or similar coding assistants is a plus. Previous experience in technical support, customer-facing engineering roles, SaaS companies, or startup environments is advantageous. Benefits 💻 Fully Remote: Work from anywhere with international teams 🤝 Peer Community: Connect with high-performing sales professionals in our network 🧭 Ongoing Support: Receive guidance from Huzzle before and after placement 💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals

Location: Colombia; Mexico; Argentina; Brazil; Costa Rica; Chile About Huzzle At Huzzle, we connect high-performing professionals with global companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries like SaaS, MarTech, FinTech, and EdTech. We match top talent to full-time remote roles where they’re hired directly into client teams and provided ongoing support by Huzzle. Role Type: Full-time Engagement: Independent Contractor About the Company Our client is an AI-powered digital validation platform serving pharmaceutical, biotechnology, and medical device organizations worldwide. Their technology helps life sciences teams dramatically reduce validation costs, automate complex workflows, and accelerate compliance processes through intelligent automation and AI-driven assurance solutions. As a rapidly growing scale-up company, they are building the next generation of digital validation tools that enable teams of all sizes to work more efficiently and deliver critical projects faster. Job Summary We are seeking a Junior Support Engineer to join a growing technical team supporting customers across the life sciences industry. This role is ideal for an early-career software engineer who enjoys debugging, problem-solving, and working directly with customers to resolve technical issues. As the first line of technical support, you will investigate customer-reported issues, diagnose bugs, implement fixes across the application stack, and communicate solutions clearly and professionally. You'll work with modern technologies including Next.js, React, Node.js, Supabase, and TypeScript while collaborating closely with product and engineering teams. This is an excellent opportunity for someone looking to grow their software engineering career while gaining hands-on experience in customer-facing technical support. Key Responsibilities Quickly learn and understand the company’s Next.js, React, Node.js, and Supabase application architecture. Investigate customer-reported issues and reproduce bugs across the platform. Use Cursor or similar AI-assisted development tools to trace errors, inspect code, and identify root causes. Write clean, maintainable TypeScript code to resolve bugs and improve application stability. Contribute fixes across both frontend and backend systems. Communicate technical solutions clearly through customer-facing emails. Help customers troubleshoot issues while maintaining professionalism and empathy during challenging situations. Collaborate with Product, QA, and Engineering teams to prioritize fixes and improve product reliability. Document common issues, solutions, and troubleshooting processes within internal knowledge bases. Assist with monitoring, testing, and continuous improvement initiatives. Requirements Basic experience with JavaScript and TypeScript development. Familiarity with modern web technologies including Next.js, React, Node.js, SQL databases, and Supabase. Strong debugging, troubleshooting, and problem-solving skills. Excellent written English communication skills with the ability to explain technical concepts clearly to customers. Comfortable communicating directly with customers and handling technical issues professionally and empathetically. Ability to work independently, take ownership of tasks, and manage priorities with minimal supervision. Strong attention to detail and a willingness to learn new technologies and tools quickly. Experience using AI-assisted development tools such as Cursor or similar IDE tools is advantageous. Previous customer support or technical support experience is preferred. Experience contributing to production applications or independently shipping software features is a plus. Understanding of software testing, troubleshooting methodologies, and root-cause analysis is beneficial. Successfully diagnose and resolve customer issues accurately and efficiently. Deliver high-quality bug fixes with minimal oversight while maintaining code quality standards. Communicate technical problems, resolutions, and next steps clearly to both customers and internal teams. Provide professional, calm, and customer-focused support, particularly during high-pressure situations. Contribute to internal documentation, runbooks, and knowledge bases to reduce recurring issues and improve team efficiency. Benefits 💻 Fully Remote: Work from anywhere with international teams 🤝 Peer Community: Connect with high-performing sales professionals in our network 🧭 Ongoing Support: Receive guidance from Huzzle before and after placement 💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals

Location: North Macedonia; Romania; Bulgaria; Slovakia; Slovenia; Bosnia and Herzegovina About Huzzle At Huzzle, we connect high-performing professionals with global companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries like SaaS, MarTech, FinTech, and EdTech. We match top talent to full-time remote roles where they’re hired directly into client teams and provided ongoing support by Huzzle. Role Type: Full-time Engagement: Independent Contractor About the Company Our client is a rapidly growing AI-powered validation technology company serving pharmaceutical, biotechnology, and medical device innovators globally. Their platform helps life sciences organizations dramatically reduce validation costs, accelerate compliance workflows, and streamline complex digital validation processes through intelligent automation and AI-driven assurance. As the company continues its growth journey, they are expanding their engineering team to support a growing international customer base. Job Summary We are seeking a Junior Support Engineer to join a fast-growing software company operating at the intersection of AI and life sciences. This role is ideal for an early-career software engineer who enjoys solving technical problems, debugging applications, and helping customers succeed. As the first line of technical support, you will investigate customer issues, troubleshoot application problems, implement fixes, and communicate solutions clearly to customers. You’ll work closely with Product, QA, and Engineering teams while gaining hands-on experience across modern web technologies including Next.js, React, Node.js, TypeScript, and Supabase. This is an excellent opportunity for someone looking to grow their software engineering career in a supportive startup environment. Key Responsibilities Quickly learn and understand the company’s Next.js, React, Node.js, and Supabase application architecture. Investigate customer-reported issues and reproduce bugs within the application. Use Cursor or similar AI-assisted development tools to inspect code, analyze call stacks, and identify root causes. Develop and deploy maintainable TypeScript fixes across both frontend and backend systems. Improve edge-case handling, application reliability, and performance. Write clear and customer-friendly email responses explaining technical issues and resolutions. Support customers professionally and calmly during high-pressure situations. Collaborate with Product, QA, and Engineering teams to prioritize urgent issues and releases. Contribute to internal documentation, knowledge bases, and support runbooks. Help improve monitoring, alerting, and recurring issue prevention processes. Requirements Experience with Next.js, React, Node.js, TypeScript, Supabase, SQL, and Cursor or similar AI-assisted development tools. Strong debugging, troubleshooting, and problem-solving abilities. Solid understanding of software engineering principles, coding best practices, and modern development workflows. Ability to work independently, manage priorities, and execute tasks with minimal supervision. Excellent written English communication skills with the ability to explain technical concepts clearly to customers. Customer-focused mindset with strong interpersonal skills and the ability to remain calm under pressure. Experience communicating directly with customers regarding technical issues is highly preferred. Experience building, shipping, or maintaining software applications independently is a plus. Exposure to SaaS products, technical support, or support engineering environments is advantageous. Familiarity with version control systems and collaborative software development practices. Interest in AI, healthcare technology, biotechnology, or life sciences industries is beneficial. Benefits 💻 Fully Remote: Work from anywhere with international teams 🤝 Peer Community: Connect with high-performing sales professionals in our network 🧭 Ongoing Support: Receive guidance from Huzzle before and after placement 💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals

Location: Paris ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. About The Job   Mistral AI is seeking a Applied AI Engineer to facilitate the adoption of its products among customers and collaborate with them to address complex technical challenges.   The Applied AI team is Mistral's customer-facing technical organization. We work directly with enterprise clients from pre-sales through implementation to deploy cutting-edge AI solutions that deliver measurable business impact.   Our team combines deep ML expertise with strong customer engagement skills, operating like startup CTOs who own end-to-end project execution. By joining the team you'll will bridge the gap between cutting-edge AI research and real-world enterprise applications, ensuring our solutions are robust, scalable, and aligned with both customer needs and Mistral's technological vision.   What you will do   - You’ll individually help deploy into production use cases with a considerable business impact across various industries. - You’ll work on state-of-the-art GenAI applications from consumer products to industrial use cases, driving with our customers a crucial technological transformation. - You’ll work in collaboration with our researchers, other AI engineers, product engineers on our most complex customer projects involving complex fine-tuning, state-of-the-art LLM applications, and contributing to our open-source codebases our open source codebases for tasks such as inference and fine-tuning. - You’ll be involved in pre-sales calls to understand potential clients' needs, challenges, and aspirations. You will provide technical guidance on our products and explain Mistral technologies to various stakeholders. - Your collaboration with our product and science team to improve continuously our product and model capabilities based on customers’ feedback   How We Work in Applied AI   - We care about people and outputs. - What matters is what you ship, not the time you spend on it - Bureaucracy is where urgency goes to vanish. You talk to whoever you need to talk to. The best idea wins, whether it comes from a principal engineer or someone in their first week. - Always ask why. The best solutions come from deep understanding, not from copying what worked before - We say what we mean. Feedback is direct, timely, and given because we care. - No politics. Low ego, high standards. - We embrace an unstructured environment and find joy in it.   About you   - You are fluent in English - You have 2+ years as a technical individual contributor (data scientist or software engineer) on AI-based products - You have proven experience in AI or machine learning product implementation with APIs, back-end and front-end interfaces. - You have experience in Fine Tuning LLMs, tackling advanced RAG or agentic use cases - You have deep understanding of concepts and algorithms underlying machine learning and LLMs - You have strong technical coding skills in Python - You hold strong communication skills with an ability to explain complex technical concepts in simple terms with technical and non-technical audiences   Ideally you have: - Contributed to open-source projects in particular in the space of LLMs - Experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect or Technical Product Manager - You have experience with deep learning with Pytorch Why join us?   You’ll have the opportunity to shape the future of AI adoption in enterprises, work with a world-class team, and contribute to open-source projects that impact millions. If you’re excited about leading technical innovation and solving real-world challenges with AI, we’d love to hear from you! WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Location: Espoo Workplace: Hybrid Role highlights: - Location: Finland - Department: Reliability & Mission Assurance - Reports to: Manager, Reliability & Mission Assurance - Employment type: Permanent - Workplace model: Office - Employment is subject to applicable security screening (incl. SUPO, where required) Why this role matters: This role is responsible for ensuring the quality, maturity, and continuous improvement of ICEYE’s supplier base, from selection through ongoing performance management. The Supplier Quality Engineer leads supplier preselection and audits, manages technical and quality requirement flow-down, drives supplier change control and supplier part qualification activities to ensure reliable, compliant, and manufacturable products. The position reports to the Mission Assurance & Reliability team and collaborates closely with Supply Chain, Engineering, and AIT Engineering. It plays a key role in strengthening ICEYE’s supply ecosystem by aligning supplier capabilities with design and production needs, enabling scalable and reliable manufacturing operations across all external partners. 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   - Lead supplier preselection and follow-up audits to assess capability, maturity, and compliance with ICEYE and industry standards. - Define and communicate technical and quality requirements to suppliers, ensuring full understanding and compliance throughout the supply chain. - Monitor supplier performance using defined metrics (e.g., delivery quality, NCR rates, on-time delivery, responsiveness) to identify gaps and drive improvement actions. - Manage supplier change requests, part and process approvals, and configuration control activities in coordination with the Engineering Teams and Configuration Management Team. - Lead supplier part qualification activities ensuring compliance with technical, quality, and regulatory requirements prior to production release. - Identify, assess, and proactively mitigate supplier-related risks, ensuring continuity of supply and minimizing impact to product quality and delivery. - Collaborate early with Design and AIT Engineering teams to gather manufacturability and inspectability feedback from suppliers. - Implement and track supplier improvement plans to increase supplier maturity and readiness. - Act as the primary point of contact for supplier-related quality issues, including management of non-conformances (NCs) and deviation/waiver requests, ensuring timely resolution and closure. What we’re looking for Must haves: - Degree in Engineering (preferably Mechanical, Mechatronics, Aerospace, or related field) - Minimum 3 years of experience in Supplier Quality, Manufacturing Quality, or similar roles. - Strong knowledge of supplier quality management for mechanical parts and assemblies (machined parts, composites, electromechanical assemblies), including supplier audits, qualification (FAI/PPAP or equivalent), and performance monitoring - Deep understanding of mechanical manufacturing processes (CNC machining, surface treatments, and assembly) and inspection/verification methodologies, with a focus on dimensional conformity, workmanship, and product reliability - Experience with non-conformance (NC) management, root cause analysis (8D, 5 Whys, Ishikawa, etc.), and CAPA implementation in mechanical manufacturing environments - Ability to read and interpret mechanical drawings, GD&T requirements, 3D CAD models, specifications, material standards, and manufacturing process documentation - Strong focus on traceability, configuration control, and engineering change management for mission-critical mechanical hardware and assemblies - Data-driven approach to analyzing supplier performance, quality metrics, inspection results, and continuous improvement opportunities - Strong communication and stakeholder management skills across suppliers and internal teams - Ability to influence and drive results without direct authority - Structured problem-solving and analytical thinking - High ownership with a proactive, hands-on approach - Ability to manage multiple priorities in a fast-paced, evolving environment Nice to haves: - Experience evaluating and approving special processes (e.g. heat treatment, coating, NDT) and ensuring supplier compliance with applicable industry and customer requirements. - Experience with ERP and MES systems in production environments - Experience in aerospace, defense, automotive, or high-reliability manufacturing environments. Application Process - Screening - Initial Interview - Task & Presentation - Final On-site / Remote 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.

Location: Kundl, Austria D-ploy is a company specializing in IT and Engineering Solutions, with projects worldwide, including in Switzerland, Germany, the Czech Republic, Austria, the United Kingdom, and the United States. We are proud to provide outstanding and innovative services to numerous industry-leading clients. By building strong relationships and trusted partnerships within the IT community, we optimize our clients' IT productivity and contribute to their business success and core values. We are looking for dedicated, flexible, and solution-oriented individuals who would like to work on-site in Kundl and become part of a dynamic, rapidly growing, and international organization. The candidate will be responsible for the end-to-end physical deployment and logical validation of network infrastructure. You will be expected to diagnose issues across Layers 1, 2, and 3 of the OSI model, ensuring that physical connectivity aligns with logical configurations. Responsibilites Advanced Device Racking & Mounting Precision Placement: Interpret and execute Rack Elevation Diagrams (REDs) to mount high-density chassis (Cisco Nexus 9k, Catalyst 9500) and 1U/2U appliances. Mechanical Safety: Ensure proper use of rack rails, cage nuts, and stabilization kits. Manage weight distribution to maintain rack integrity. Power Sequencing: Connect dual-homed power supplies to diverse PDU sources (A+B feeds) and perform "pull tests" to verify seating. Structured Cabling & Fiber Management Fiber Optics: Expert-level handling of Single Mode (SMF) and Multi-Mode (MMF) fiber. Proficiency in cleaning connectors (IBC cleaners) and inspecting end-faces with fiber scopes. SFP/Transceiver Management: Correctly identify and install SFP, SFP+, QSFP+, and QSFP28 modules. Troubleshoot "link down" issues by verifying wavelength compatibility (e.g., 850nm vs 1310nm) and light levels. Patching & Labeling: Execute high-density patching in accordance with ANSI/TIA-606-B standards. Ensure every cable is labeled at both ends with Near-End/Far-End information. Patch Panels & Cross-Connects Circuit Extensions: Coordinate with Telco providers to extend circuits from the Meet-Me-Room (MMR) to the local rack via cross-connects. Patch Panel Termination: Manage copper (RJ45) and fiber (LC/SC/MPO) patch panels. Perform "light-checks" using Visual Fault Locators (VFL) to trace paths through multiple patches. Media Conversion: Deploy and troubleshoot media converters or transceivers when transitioning between different physical media types. Remote Management & Console Access Out-of-Band (OOB) Setup: Configure and cable Terminal Servers (e.g., Opengear, Lantronix, or Cisco ISR) to provide permanent remote console access to all managed devices. Serial Connectivity: Troubleshoot baud rate mismatches, roll-over cables, and DB9-to-RJ45 adapters to ensure the NOC has a reliable "backdoor" during outages. Local Support: Be prepared to connect locally via laptop and serial-to-USB adapters to provide a "live stream" of boot sequences or BIOS-level troubleshooting. Advanced Routing & Switching Knowledge L1 Fundamentals : Strong working knowledge in ethernet , Gigabit Ethernet, Serial , fiber cabling, transceivers (Arista, Cisco SFP+, QSFP+), SFP, PIC, NIM, HA ports, power supplies, patching and troubleshooting, with knowledge of DWDM and experience in handling 10/20/40 Gig Fiber links L2 Fundamentals: Configure and troubleshoot VLANs, VTP, and Spanning Tree Protocol (STP), Port mirroring, packet captures . Must understand how to identify and resolve broadcast storms or physical loops at the rack level. L3 Fundamentals: Assist in the bring-up of Layer 3 interfaces (SVIs and Routed Ports) . Basic knowledge of prefix lengths and IP addressing to verify gateway connectivity. Protocol Verification: Use CLI commands to verify BGP and OSPF neighbor adjacencies after physical circuit hand-offs or cross-connect installations. EtherChannel/LACP: Provision and troubleshoot Link Aggregation Groups (LAGs). Ensure that physical cabling matches the logical member-port configuration on the switch. Requirements Experience: 6–8 years in a Data Center or large Enterprise campus environment. Ethernet, Fiber cabling, Hardware : Experience in installation of ethernet, fiber cabling on Cisco, Arista and Palo Alto, F5 load balancers and its associated components like SFP, PIC, NIM, DPC Routing and Switching: Ability to navigate Cisco IOS, NX-OS, PAN OS or Arista EOS to perform show commands and basic interface configurations. Tools: Proficiency with Visual Fault Locators (VFL), Light Meters, and Fiber Inspection Scopes. Certifications: CCNA or equivalent is mandatory ; CCNP Enterprise (ENCORE) is highly preferred to demonstrate routing and switching proficiency. Experience in handling mission critical network incidents/problems in Enterprise network Large campus networks and Data center,  is preferred. Fluency in English and German (C1) Candidates must be able to present a Criminal Record (not older than 3 months). Benefits A wide range of activities, responsibilities, and projects Vouchers and gifts (birthday voucher, wedding gift, and newborn baby surprise) Fishing for Friends Program – our employee referral program Opportunities for professional development and career advancement A friendly and international working environment Company-sponsored events Compensation is provided in accordance with the Austrian IT Collective Agreement. Depending on qualifications and professional experience, there is a willingness to offer a salary above the collective agreement level. Is IT in your DNA? Join us and help deliver IT where it counts.

Location: Turkey Workplace: Remote fal is the generative media ecosystem powering the next generation of AI products. We build the infrastructure, tools, and model access that teams need to move from idea to production, and do it at scale without compromise. For developers and enterprises, fal is the foundation that makes generative media not just possible, but practical: a unified platform where high-performance inference, orchestration, and observability come together to unlock new categories of AI-native products. As generative media reshapes industries across a market projected to grow by hundreds of billions over the next decade, fal is becoming the ecosystem that ambitious teams build on. ABOUT THIS ROLE: This is a hybrid ML Engineering / Site Reliability Engineering role. You will own the reliability, security, and safety of fal's fleet of generative media model APIs, the production endpoints that thousands of developers and enterprises depend on every day. Your mission is simple to state and hard to do: keep a large, fast-moving fleet of image, video, and audio model APIs available, performant, secure, and safe at all times. You understand both how generative models work and how production systems fail. You're as comfortable debugging a misbehaving diffusion pipeline as you are tracing a latency regression through an inference stack, and you treat model-specific failure modes; degraded output quality, drift, unsafe generations, abuse patterns; as first-class reliability concerns alongside uptime and latency. This role will need to be based in Turkey. What you'll do - Own availability, latency, and throughput SLOs across a large fleet of generative media model APIs serving production traffic at scale - Build the monitoring, alerting, and observability needed to catch ML-specific failures, output quality degradation, pipeline breakage, model regressions before customers do - Harden model deployment workflows with canary releases, shadow testing, automated rollbacks, and validation gates so new model versions ship safely - Drive the security posture of the model fleet: secure model serving, abuse and misuse detection, rate limiting, and protection against adversarial usage patterns - Operationalize safety systems for generative media, content moderation pipelines, safety classifiers, and guardrails that run reliably at inference time without compromising performance - Lead incident response for model API outages and degradations, run postmortems, and drive the engineering work that prevents recurrence - Improve capacity planning, autoscaling, and GPU fleet efficiency for inference workloads under highly variable traffic - Partner with model and infrastructure teams to make reliability, security, and safety requirements part of how new models get onboarded to the platform - You will have access to our massive GPU cluster for inference and evaluation Qualifications/Nice to have: - 5+ years of professional experience, with 2 year experience operating production ML or high-scale API systems, ideally with on-call ownership - Experience working with and supporting diffusion models in production - Strong systems fundamentals: distributed systems, networking, observability, and incident management - Working knowledge of modern generative models (diffusion, transformers) and their failure modes in production - Familiarity with security and safety practices for ML systems ,abuse prevention, content safety, or trust & safety engineering experience is a strong plus - A bias toward automation, measurement, and blameless postmortems - Core technologies we use include Python, torch, diffusers, Kubernetes, and the fal Python SDK - You'll work alongside a team dedicated to quickly iterating on and deploying new AI breakthroughs — your job is to make sure that speed never comes at the cost of reliability   WHAT WE OFFER AT FAL - Interesting and challenging work - Competitive salary and equity - A lot of learning and growth opportunities - Regular team events and offsites U.S. EQUAL EMPLOYMENT OPPORTUNITY INFORMATION: fal provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other classification protected by applicable law.

Location: Barcelona; Cardiff, London or Remote (UK) 🚀 We’re on a mission to make money work for everyone. We’re waving goodbye to the complicated and confusing ways of traditional banking. After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK. As well as personal and business bank accounts, we offer joint accounts , accounts for 16-17 year olds , a free kids account and credit cards in the UK, with more exciting things to come beyond. Our UK customers can also save , invest and combine their pensions with us. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers! We’re not about selling products - we want to solve problems and change lives through Monzo ❤️ 📍London or Remote (UK) or Barcelona, Spain (Hybrid) Engineering at Monzo Monzo has successfully launched in Ireland and is expanding across Europe. We're now entering the next phase of our journey: building and scaling a multi-market European bank. The EU Engineering organisation sits at the centre of that ambition. We are responsible for helping Monzo launch, grow and operate across Europe, navigating everything from product-market fit and customer growth to regulatory requirements, localisation and operational scale. Unlike most engineering organisations at Monzo, EU does not own a single product area. We work horizontally across the company, partnering with teams across Payments, Core Banking, Growth, Wealth, Customer Operations, Fincrime, Platform and many others to bring Monzo's products to new markets and deliver great customer experiences locally. As an Engineering Director, you'll lead a distributed engineering organisation across the UK, Spain and remote locations. You'll partner closely with Product, Design, Data, Operations, Risk, Compliance and executive stakeholders to solve complex problems that span organisational boundaries. Success in this role comes through influence, relationships and organisational leadership as much as execution. You'll need to build alignment across a wide range of teams, create clarity in ambiguity, and help Monzo discover what works in new markets while establishing the foundations that allow us to scale across Europe. This is one of Monzo's most strategically important areas and a unique opportunity to help build a European bank from the ground up. What you’ll work on Lead a distributed engineering organisation spanning multiple squads, markets and countries. Build and develop Engineering Managers, Senior Engineering Managers and senior technical leaders. Partner with Product, Design, Data, Research, Operations, Risk and Compliance leaders to define and execute Monzo's European strategy. Drive alignment and execution across numerous collectives to ensure Europe receives the capabilities it needs to succeed. Shape how Monzo approaches market expansion, localisation, regulatory requirements and multi-market product development. Influence priorities and outcomes across teams that do not directly report to you. Create clarity and momentum in highly ambiguous problem spaces where ownership and solutions are not always obvious. Design and evolve organisational structures, operating models and planning processes that allow Monzo to scale effectively across Europe. Help identify and validate product-market fit in new markets while balancing short-term delivery and long-term strategic investments. Partner closely with executive leadership to shape the future of Monzo's European business. You should apply if You have experience leading large engineering organisations through other leaders, including Engineering Managers, Senior Engineering Managers and senior individual contributors. You have successfully operated in highly complex organisations where outcomes depend on collaboration across many teams and functions. You are exceptional at building relationships and influencing without direct authority. You can navigate ambiguity and create clarity where goals, ownership or priorities are not yet fully defined. You have experience scaling organisations through periods of rapid growth, organisational change or market expansion. You enjoy solving organisational and business problems, not just technical ones.You can balance strategy and execution, translating ambitious goals into tangible outcomes. You are comfortable making decisions in environments where there is rarely a perfect answer. You have a strong track record of building high-performing leadership teams and developing future leaders. You are energised by the challenge of building something new and helping shape the future of Monzo's international expansion. The interview process After an informal ~30 min recruiter call our interview process involves 2 main stages: Initial Call (1 hour) You'll meet with one of our senior engineering leaders. They'll ask you about your previous experience, in particular people leadership, product delivery and technical leadership. They’ll ask example based questions (‘Tell me about a time when…’) Loop Stage - This is one stage with 4 interviews (totalling 4 hours) split between a collaboration with one of our engineers on a technical exercise, as well as execution and leadership interviews. At all stages we’ll create space for you to ask as many questions as you have, you’re interviewing us as well! Our average process takes around 3-4 weeks but we will always work around your availability. You will have the chance to speak to our recruitment team at various points during your process but if you do have any specific questions ahead of this please contact us on tech-hiring@monzo.com . Please also use that email to let us know if there's anything we can do to make your application process easier for you, because of disability, neurodiversity or any other personal reason. How we work 💻: Locations & Flexible Working (If you're in the UK) : Our main tech hub is in London, but our engineers live everywhere in the UK— from Brighton to the Western Isles. We value meeting in person but there’s no pressure to come into the office, even if you're nearby. We believe you'll do your best work if you are where you want to be. If you live outside of London and we ask you to come into the office, Monzo will support you with the costs. ✨ Our offices are naturally social, especially Tuesdays, Wednesdays and Thursdays, which happen to line up with our twice-weekly Monzo lunches & treat Thursdays 🍽️. Teams also schedule time together often for work and play – in or around the office, or online. Set up a work schedule that delivers impact and fits your life. At Monzo, we value connections, flexibility, and wellbeing. We keep our meetings during core hours to stay connected and believe in maintaining work/life balance. You’ll be empowered to manage your work in a way that suits you and your team, giving you the freedom for children drop-offs and pick-ups, walking your dog or adventurous cat, avoiding peak commuting times or gym slots, appointments, or supporting your family in an emergency. 🕒✨ Work the way that works for you with Monzo! 💼 What’s in it for you ✈️ We can help you relocate to the UK or Spain ✅ We can sponsor visas for the UK (not Spain) 📍This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London). ⏰ We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. 📚Learning budget of £1,000 ( a year for books, training courses and conferences #LI-AL1 #LI-REMOTE Equal opportunities for everyone Diversity and inclusion are a priority for us and we’re making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we’re embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our blog , 2026 Diversity and Inclusion Report and 2025 Gender Pay Gap Report. We’re an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status. If you have a preferred name, please use it to apply. We don't need full or birth names at application stage 😊

Задачи: — Разработка и улучшение biometric и identity verification решений — Создание production-level Computer Vision и ML-систем — Разработка алгоритмов Face Verification, Liveness Detection, Anti-Spoofing и Deepfake Detection — Оптимизация моделей для высоконагруженных систем — Работа с большими датасетами и подготовка данных — Внедрение современных исследований SOTA в production — Разработка и поддержка полного ML/CV pipeline — Участие в подготовке решений к международным сертификациям и тестированиям — Работа над AI-продуктами для банков, финтех-компаний, криптоплатформ, телеком-операторов и государственных организаций Требования: — Опыт работы ML Engineer / Computer Vision Engineer от 3 лет — Опыт работы с Face Biometrics, KYC, Identity Verification или Anti-Fraud решениями — Глубокие знания Computer Vision и Deep Learning — Уверенное владение Python — Опыт работы с PyTorch и/или TensorFlow — Опыт построения production-grade ML/CV систем — Опыт работы с large-scale datasets — Опыт оптимизации inference, latency и производительности моделей — Понимание архитектуры enterprise biometric systems — Английский язык на уровне B2 — Обязательное преимущество: Опыт подготовки решений к сертификации iBeta Level 2 или Опыт прохождения / участия в сертификации iBeta Level 2 Будет большим плюсом: — Опыт работы в biometric, KYC или identity verification компаниях — Участие в NIST FRVT Evaluations — Опыт разработки Anti-Spoofing и Liveness Detection систем — Опыт работы с Deepfake Detection — Понимание международных biometric compliance и certification standards — Опыт внедрения SOTA research papers в production — Опыт teamleading Условия: — Работа в международной AI-компании — Участие в разработке production-grade AI-продуктов для международных рынков — Официальное трудоустройство по трудовому договору — График 5/2, 8-часовой рабочий день — Работа в офисе в Алматы — Финальный оффер зависит от уровня экспертизы — Возможность работать над сложными задачами в области Face Biometrics, Digital Identity, KYC, AML, Fraud Prevention и Identity Verification

Задачи: — построение масштабируемых конвейеров данных и инфраструктуры в облачной среде GCP. Требования: — опыт работы Data Engineer от 3 лет; — уверенное владение GCP (BigQuery, Cloud Storage, Dataform); — продвинутые навыки Python и Apache Airflow; — уровень английского B2 и выше. Условия: — долгосрочный контракт с QIC; — полный рабочий день, удалённо, график 5 дней в неделю, с воскресенья по четверг; — отпуск по календарю праздников Катара, 20 рабочих дней отпуска и 10 дней больничных; — оценка эффективности два раза в год; — испытательный срок 3 месяца; — поддержка цифровых кочевников. Преимущества и бонусы: — индивидуальные языковые занятия; — страхование RemoteHealth Premium с покрытием до $5000 в год; — образовательный бюджет; — консультации по налогам с менеджером; — клуб бега QIC в Strava; — корпоративные скидки в программе Privilege, включая Qatar Airways.