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Location: Москва Workplace: Гибридный О компании Мы развиваем платформу мониторинга для ПАО МТС и нам нужен эксперт, который будет развивать алгоритмы root cause analysis, корреляции аварий и поиска аномалий. Обязанности разрабатывать алгоритмы RCA – строить и внедрять методы корневого анализа причин (Root‑Cause Analysis) для аварийных сообщений и инцидентов; создавать алгоритмы корреляции событий, связывать события по времени, топологии сети, ресурсно‑сервисной модели, типу отказа и зависимостям между объектами; строить causal‑graph модели, формировать причинно‑следственные графы, использующие топологию сети и модели ресурсов/услуг для автоматического выделения первопричины; разрабатывать методы группировки аварий в инциденты, кластеризация/агрегация связанных тревог в единый инцидент; реализовывать детекторы аномалий и деградаций, выявлять отклонения в потоках событий, метриках и состоянии объектов, которые не покрываются статическими правилами; определять метрики качества и осуществлять шумоподавление, формирование KPI (precision/recall, false‑positive/false‑negative, уровень шумности тревог) и постоянное снижение дублирования и ложных срабатываний; прототипировать и выводить решения в production, быстро прототипировать, тестировать и совместно работать с командой платформенных разработчиков для внедрения алгоритмов в рабочее окружение. Требования сильная база в алгоритмах, математике, статистике, data science или machine learning; опыт работы с временными рядами, event streams, anomaly detection или correlation algorithms и понимание графовых моделей, деревьев зависимостей, причинно-следственных связей или topology-aware algorithms; опыт анализа больших объемов событийных данных; умение строить expl ai nable algorithms: система должна объяснять, почему конкретное событие выбрано как вероятная первопричина; опыт разработки на Python ; опыт с Kafka , Spark/Flink, ClickHouse , SQL БД, графовыми БД; cпособность быстро разбираться в предметной области и формализовать экспертные знания эксплуатации в алгоритмы. Условия БУДЕТ ПЛЮСОМ опыт в телекоме, мониторинге, NOC/SOC, эксплуатации сетей или инфраструктуры; опыт работы с аварийными событиями, инцидентами, ITSM-системами; знание методов causal inference, Bayesian networks, graph algorithms, clustering, sequence mining; понимание сетевой топологии, мобильной сети, транспортной сети, EMS/NMS-систем; опыт построения систем intelligent alerting, event correlation, AI Ops.

Location: Anywhere Workplace: Remote ABOUT US Circle is building the world’s leading AI-powered, all-in-one platform for digital businesses. We make it possible for creators, coaches, educators, and businesses to bring together their audience with engaging discussions, live streams, events, chat, courses, and payments — all in one place, all under their own brand. We’re proud to be a fully remote company of around 270 (and growing!) team members from 30+ countries around the world. We seek exceptional individuals around the world, set them up to do the best work of their lives, and in turn, create a meaningful impact in their own lives. We don't track hours, but we do manage for high expectations very closely. We collaborate across time zones, are highly async, and like to document a lot. Every year, we bring the whole company together in beautiful places around the world for our company offsites. So far, we’ve hosted offsites in Turkey, Portugal, Mexico, Thailand, Colombia, Italy, Ireland, and more, with still more to come! Check out our Careers https://careers.circle.so/ page for more about working at Circle. ABOUT THE ROLE We’re building something game-changing at Circle: a discovery marketplace where millions can find creators, communities, and products to help them achieve their highest personal and professional goals. You’ll own generating and growing the demand engine for the Discover marketplace https://circle.so/discover. Think of a Pinterest, Reddit or Instagram-style product, reimagined with a mission to help people achieve their goals instead of distracting them with endless doom scrolling. Through Discover, you will be building technology that could help millions of people grow, self-actualize, and live their best lives. As the Growth Lead for Discover https://circle.so/discover, you’ll report directly to the GM of Discover and work closely with Circle's co-founders to bring this vision to life. Day to day you'll work with the product team for Discover, our paid media team, data team, brand and design studio, lifecycle marketing, partnerships, and more. This is a fully remote role, open to candidates in any North American time zone. WHAT YOU'LL BE DOING - Own growth for the Discover marketplace. Drive traffic to Discover, experiment with how consumers find and engage with Discover, and grow its GMV and transaction volume. - A/B testing and experimentation. Run experiments to better acquire, engage, and retain traffic. Test what people see when they arrive on Discover, the algorithms behind recommendations, and marketplace structure. - Build Circle's end-to-end lifecycle email programs. Build the acquisition funnel for Discover by setting up a recommendations newsletter, creating offers to acquire subscribers, and developing email programs to turn visitors into repeat buyers. - Build an SEO program. Grow Discover's organic surfaces and SEO / AEO across product pages and distribution partnerships with the creators already building on Circle. - Drive creator success on the marketplace. Help creators listed on Discover succeed by sending them buyers who convert and stay, diagnosing which categories generate traffic but underconvert, and applying those learnings across the marketplace. - Build the team's reporting. Track funnel performance by category, cohort retention of Discover-sourced members, and what individual creators earn from the marketplace, and own reporting on performance and recommendations to leadership. - Help shape and execute Discover's growth strategy. Partner with the GM of Discover and co-founders to shape growth priorities and collaborate with the product team to evolve the product. WHAT YOU'LL NEED TO BE SUCCESSFUL - A track record of owning a revenue or GMV number across multiple channels at one time, where you were able to grow the number and deliver real results. Ideally, you can walk us through what moved the number, what worked, and what you got wrong. This matters a lot more to us than your title or how many years you've been doing this. - Experience with email and lifecycle marketing, including building a program from scratch. You should have a clear view of what it should be judged on beyond opens and clicks. - Experience acquiring email subscribers profitably and growing their value over time. This mechanic is going to be key here: bring someone in for less than they'll eventually spend, then earning more from them by delivering real value to both them and the creator. - Comfortable being hands-on as a player-coach. This includes writing the emails, building the pages, talking to the creators, setting up reporting, and reading the results yourself. - Deep understanding of marketplaces and/or businesses with strong network effects. Ideally, you’re someone who obsesses about marketplace network effects, and shows strong judgment and opinions on growing the demand side of a marketplace. - Learn fast, experiment aggressively, and thrive in a highly dynamic environment. You’ll need to be comfortable running a lot of experiments and letting the results settle the argument, including the ones that don't work (which will be many of them in the beginning). - Comfortable in a fast-paced environment with ambiguity. You’ll need to learn and pick up new technologies when projects require it. - Exceptional written and verbal communication skills in English (CEFR C2 or equivalent https://englishonline.britishcouncil.org/free-english-level-test-cefr-2/), as most collaboration at Circle happens asynchronously. COMPENSATION & BENEFITS Circle offers U.S.-benchmarked compensation globally, equity in the company with ongoing refresh grants, and 35 days of paid time off each year. We’re a remote-only team that comes together twice a year for company retreats in incredible destinations around the world. Alongside incredible flexibility and autonomy, we offer a benefits package that supports health, wellbeing, and professional growth. Learn more in our Candidate Hub. https://circleco.notion.site/circle-candidate-hub LEARN MORE - Candidate Safety & Interview Process Notice https://app.notion.com/p/circleco/Circle-Candidate-Hub-374b655313b7803d9580fb7da4f51acf?source=copy_link#374b655313b780e5b681c4d56b962790 - Diversity, Equity & Inclusion https://app.notion.com/p/circleco/Circle-Candidate-Hub-374b655313b7803d9580fb7da4f51acf?source=copy_link#374b655313b7807a8e3ff5c25a1d93ba - How We Use Candidate Data https://app.notion.com/p/circleco/Circle-Candidate-Hub-374b655313b7803d9580fb7da4f51acf?source=copy_link#374b655313b780e49e98f390eec6bb51 - Equal Employment Opportunity https://app.notion.com/p/circleco/Circle-Candidate-Hub-374b655313b7803d9580fb7da4f51acf?source=copy_link#374b655313b7807a967dea67e68f31f0 - Visit our Candidate Hub https://circleco.notion.site/circle-candidate-hub to learn more about working at Circle, our benefits, and our hiring process.

Location: London, United Kingdom Workplace: remote We are looking for a Lead Applied Researcher — Pricing to design and evolve dynamic pricing systems for our marketplace. You will develop pricing as a feedback-driven decision system , balancing supply, demand, and business outcomes under uncertainty and delayed signals. Unlike traditional surge-based pricing, our marketplace operates on a unique bid-based pricing model , where prices are shaped through direct negotiation between riders and drivers. This creates a fundamentally different optimization problem, requiring advanced approaches to modeling user behavior, incentives, and marketplace dynamics. Key Responsibilities Design and improve dynamic pricing policies, including elasticity and supply/demand response modeling Frame pricing as a decision system under uncertainty and delayed feedback Develop, test, and deploy real-time pricing algorithms Design and analyze A/B experiments to evaluate pricing impact Productionize models in collaboration with engineering, ensuring scalability and robustness Monitor system performance, including stability, feedback effects, and long-term behavior Contribute to methodological choices (e.g., optimization, control, RL-inspired approaches) Skills, Knowledge and Expertise Professional experience in Data Science, Applied Research, or algorithmic product optimization, preferably in marketplaces or pricing systems Strong background in statistics, optimization, and causal inference Proven ability to move from problem formulation to production-grade solutions Proficiency in Python, SQL, and experience with production ML systems Nice to Have Experience with economic modeling (elasticity, auctions, policy design) Familiarity with control systems, RL, or online optimization Experience working with real-time, high-load systems Why join us Help us challenge injustice by creating fair choices for millions of people across 1100+ cities in 47 countries Develop your professional skills with access to mentoring, career consulting, and learning programs Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects Work alongside people who take initiative, speak openly, and challenge themselves to grow Improve your language skills through co-financed courses and internal speaking clubs Final benefits may vary depending on the location.

Location: Limassol, Cyprus Workplace: hybrid We are looking for a Lead Applied Researcher — Pricing to design and evolve dynamic pricing systems for our marketplace. You will develop pricing as a feedback-driven decision system , balancing supply, demand, and business outcomes under uncertainty and delayed signals. Unlike traditional surge-based pricing, our marketplace operates on a unique bid-based pricing model , where prices are shaped through direct negotiation between riders and drivers. This creates a fundamentally different optimization problem, requiring advanced approaches to modeling user behavior, incentives, and marketplace dynamics. Key Responsibilities Design and improve dynamic pricing policies, including elasticity and supply/demand response modeling Frame pricing as a decision system under uncertainty and delayed feedback Develop, test, and deploy real-time pricing algorithms Design and analyze A/B experiments to evaluate pricing impact Productionize models in collaboration with engineering, ensuring scalability and robustness Monitor system performance, including stability, feedback effects, and long-term behavior Contribute to methodological choices (e.g., optimization, control, RL-inspired approaches) Skills, Knowledge and Expertise Professional experience in Data Science, Applied Research, or algorithmic product optimization, preferably in marketplaces or pricing systems Strong background in statistics, optimization, and causal inference Proven ability to move from problem formulation to production-grade solutions Proficiency in Python, SQL, and experience with production ML systems Nice to Have Experience with economic modeling (elasticity, auctions, policy design) Familiarity with control systems, RL, or online optimization Experience working with real-time, high-load systems Why join us Help us challenge injustice by creating fair choices for millions of people across in 47 countries Develop your professional skills with access to mentoring, career consulting, and learning programs Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects Work alongside people who take initiative, speak openly, and challenge themselves to grow Improve your language skills through co-financed courses and internal speaking clubs Annual salary from EUR 80 200 gross Final benefits may vary depending on the location.

Location: Hamburg Workplace: Hybrid adjoe builds the technologies behind mobile apps growth and monetization. With our core product Playtime Arcade, we've become the global leader in rewarded advertising, an ad unit built on a simple premise: users earn real in-app rewards for engaging with new apps. The result is one of the most effective value exchanges in adtech, connecting advertisers and publishers with over 770 million users annually.   Architecting the sub-millisecond decision engine that powers 200 million daily ad interactions   The Demand Core team and backend platform squads build the foundational infrastructure that determines which of our thousands of active advertising campaigns are relevant to a user the moment they open Playtime. At our scale, system latency is a business failure: downtime means advertisers stop spending, users stop earning rewards, and publisher revenue stalls. As a Staff Backend Developer, you will own the architectural integrity, reliability, and long-term evolution of the distributed systems that power these decisions 200 million times every day across multiple teams. Go microservices load the active ad campaign catalog into memory, evaluating 40+ targeting constraints and 30+ real-time signals like geo, fraud status, budget caps, to rank potential user performance in milliseconds. Beyond individual services, you will define architectural patterns across the entire ad interaction chain: high-throughput processing of clicks, views, MMP postbacks from Adjust and AppsFlyer, and reward-triggering in-app events. You will govern our hybrid messaging architecture using SNS/SQS and Kafka, standardize backend data patterns across DynamoDB, relational, and analytical data stores, and ensure our core ad scoring pipelines remain resilient under massive load.   Your Mission & Who We Are Looking For:   - Production Golang Systems & Architecture Mastery: You bring extensive backend development experience (7+ years, with deep production Go expertise in distributed environments). You will define service boundaries, concurrency models, and runtime optimizations for our +99% Go microservice architecture, scaling the platform reliably beyond hundreds of millions of monthly active users. - High-Throughput Event Streaming & Architecture Patterns: You have deep experience architecting and standardizing asynchronous microservice communication using event backbones like Kafka, SQS/SNS, and Kinesis. You will establish org-wide streaming standards, schema evolution, and CDC patterns to process billions of daily API events and aggregate them into our data lake for sub-second querying. - Large-Scale Data Architecture & Platform Optimization: You understand database internals, distributed storage trade-offs, and low-level web standards. You will standardize data patterns (sharding, replication, DR) across hundreds of terabytes in DynamoDB, MySQL, Druid, and Athena, while leading high-stakes, zero-downtime database migrations and deprecations. - Data Science & Algorithmic Integration at Scale: You quickly grasp complex technical topics, distributed systems trade-offs, and applied mathematics. You will partner with our Data Science team to architect the runtime infrastructure that serves predictive models and machine learning algorithms directly within our sub-millisecond real-time ad targeting engine. - Technical Leadership & Organizational Leverage: You communicate fluently and precisely in spoken and written English. You drive alignment across squads through RFCs and Architecture Decision Records (ADRs), define org-level SLIs/SLOs, sponsor major technical migrations, and mentor Senior engineers across an international engineering team. - Plus: Cloud Resilience & Tooling: Hands-on experience with continuous profiling (e.g., Pyroscope, goroutine dumps), chaos engineering drills, and infrastructure automation using Terraform, Kubernetes, or AWS cloud networking. ‌ 🌎 We welcome applications from talent worldwide and provide relocation support to Hamburg, Germany for those ready to join our team.   What’s in It for You?   At adjoe, you’re not here to just close JIRA tickets, you’re shaping the architectural foundation behind one of the most impactful platforms in adtech. The systems and patterns you design will reach hundreds of millions of users and power billions of decisions every day.   - Go Big. Own the technical direction and platform architecture with impact on 770M users and push adtech boundaries. - Move Fast. Ship solutions multiple times a day, establish golden paths that unlock engineering speed, and keep momentum. - Be Direct. Solve complex architectural bottlenecks openly and drive alignment across cross-functional teams. - Thrive Together. Grow with and elevate a diverse, global team of engineers from over 40 different countries that learn from each other. - Have Fun. Celebrate wins, solve hard computer science challenges, and bring your energy. We welcome applications from people who will contribute to the diversity of our company.

Location: Lviv Workplace: remote ELEKS Software Engineering and Development Office is looking for a Trainee / Junior PHP Developer in our offices in Ukraine. Our project is a German event management and marketing platform that helps customers create events with different ticket categories, sell tickets, analyze event performance, and collect feedback from organizers. Our client works with large companies that organize conferences, trade fairs, and other corporate events. REQUIREMENTS Understanding of programming fundamentals and how software is built Basic knowledge of PHP 8.4 and object-oriented programming; hands-on PHP experience is a plus but not mandatory Openness to learning PHP with Laminas or writing backend code in Node.js Basic understanding of relational databases and SQL; familiarity with MySQL 8.4 or PostgreSQL 14 Basic understanding of REST APIs Familiarity with Git and Composer Some hands-on experience with AI tools for software development Ability to use AI thoughtfully: define tasks and acceptance criteria, review and test AI-generated output, and refine it where needed rather than copying it without verification Interest in a full-stack role and willingness to work across both backend and frontend development Upper-Intermediate level of English WOULD BE A PLUS Familiarity with TypeScript and Angular 21 Experience with PHP or another backend language Basic knowledge of Docker Familiarity with PHPUnit and test writing Interest in AWS services such as S3 or SQS Basic knowledge of NoSQL databases, such as DynamoDB Familiarity with Swagger/OpenAPI, Propel ORM, or microservices Experience working with third-party APIs, such as PayPal or Google Analytics RESPONSIBILITIES Conduct a simple range of programming tasks including analysis, coding, and debugging of complex program logic Conduct test procedures by using testing, and debugging programs Develop algorithms according to technical specifications or other requirements documentation Use standard algorithms in the applicable cases Write program code according to the defined application architecture Structure and format source code, comment and mark up the code, as well as name variables, functions, classes, data structures, and files according to the company conventions and industry best practices Track changes, compare source code in the defined version control system Agree task deadlines with Senior Developer or Technical Leader WHAT YOU WILL GET WITH ELEKS Close cooperation with a customer Challenging tasks Competence development Team of professionals Dynamic environment with a low level of bureaucracy

Location: Thailand Libertex Group Overview Established in 1997, the Libertex Group is an international powerhouse with over 29 years of financial markets expertise. Over the years, the Libertex Group has helped shape the online trading industry by merging together innovative technology, market movements and digital trends. This was made possible with the introduction of ‘Libertex’, the multi-awarded online trading platform with which anyone can access the market and invest in stocks or trade CFDs with underlying assets being commodities, Forex, ETFs, cryptocurrencies, and others. A firm believer in the power of sports to inspire, empower and push for success, Libertex is the Official Online Trading Partner of Audi Revolut F1® Team. The Libertex Group in Numbers: • 29+ years of fintech experience • 3M+ clients worldwide • 700+ employees • 45+ international awards (for Libertex) • 300+ tradable assets (through Libertex) The Libertex Group is constantly driven by a single passionate purpose – to tirelessly work on developing amazing fintech for people who simply want to have ‘more’ in their lives. Job Overview We are looking for a talented Social Media Specialist to join our team and become the voice of Libertex Group brands across Thailand. In this role, you will bring campaigns and creative ideas to life across Thai-language social media channels, creating engaging content that resonates with traders, fosters community engagement, and strengthens our brand presence. You will manage content across platforms including Facebook, Instagram, YouTube, and TikTok, ensuring all communications align with our brand identity and compliance standards. Main Responsibilities Report directly to the Social Media Team Lead, providing regular updates on content performance, campaign execution, and market-specific initiatives in Thailand. Manage and grow our social media presence across relevant platforms in Thailand, including Facebook, Instagram, TikTok and YouTube executing content strategies defined by the Team Lead. Create and publish engaging content tailored to Thai audiences, including short-form videos, YouTube videos, carousels, stories, educational posts, and other platform-specific formats in Thai. Develop and maintain a monthly content calendar aligned with Thai public holidays, local events, product launches, F1 moments, and regional trading trends. Collaborate with affiliate and partner teams to develop co-branded campaigns and shareable content assets tailored to the Thai market. Monitor Thai trading communities, social media groups, forums, and relevant fintech platforms to identify engagement opportunities, emerging trends, and opportunities for organic community growth. Ensure all content complies with internal brand guidelines, local regulatory requirements, and compliance approval processes before publication. Track, analyze, and report monthly social media performance, including follower growth, reach, engagement, content effectiveness, and other relevant KPIs. Adapt global campaigns and creative assets to Thailand’s cultural context, language, audience preferences, and local market dynamics in coordination with the Team Lead. Stay up to date with social media trends, platform algorithm changes, emerging content formats, and relevant developments in Thailand’s digital and trading communities. Coordinate with designers, motion designers and other internal stakeholders to ensure the timely delivery of high-quality, market-relevant creative assets. Manage day-to-day community engagement by responding to comments and messages in Thai, addressing audience questions, escalating customer issues when necessary, and fostering positive interactions across social channels. Identify opportunities to strengthen local brand awareness, increase audience engagement, and build an active and trusted social media community in Thailand. Requirements Degree in Marketing, Social Media or any other relevant field. At least 4 years of social media and content experience, preferably in financial services, fintech, crypto, or another trust-sensitive category Strong understanding of how retail traders consume content in Thailand/Asia Ability to work under a creative brief and execute with consistency across platforms without needing to reinvent direction with every post Familiarity with compliance review processes for financial content Excellent command of English and Thai language Demonstrated track record of growing a brand audience in a category where trust is earned slowly and lost quickly Benefits 10 working days of annual leave Work remotely whilst being part of a global team Udemy Business unlimited membership Professional and personal development opportunities in a fast-growing environment Libertex Group is an equal opportunity employer, fostering an inclusive and diverse environment. We do not discriminate based on any characteristic protected by the law. Candidate privacy is respected, and all data is securely stored and used solely for recruitment purposes, in line with GDPR and our internal policies. Unsuccessful applicants may have their data retained for future opportunities unless deletion is requested.

Location: India; Australia; Japan; Singapore; Philippines; New Zealand About Gramian Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. About the Role We are seeking a highly skilled Machine Learning Research & Engineering Specialist to contribute to an advanced AI training project focused on model development, training and inference systems, numerical computing, and performance optimization. This is a coding-intensive role requiring hands-on experience with Python, machine learning engineering, and coding agents integrated into development workflows. You will build, modify, debug, and validate machine learning implementations, create reproducible training and inference pipelines, and optimize systems for correctness, memory usage, and throughput. The ideal candidate combines strong quantitative foundations with practical coding skills and experience solving complex machine learning engineering problems. SENIORITY: Experienced / Research-Level Engineer EDUCATION: Master's degree or PhD in a relevant quantitative discipline LANGUAGE: Strong written and verbal English LOCATION: Remote — Worldwide Key Responsibilities Develop, implement, and validate machine learning models, training pipelines, inference systems, and supporting infrastructure. Implement or modify model components, data pipelines, evaluation systems, and numerical methods using Python. Build reproducible programmatic workflows using Python, command-line tools, and relevant machine learning frameworks. Debug numerical, algorithmic, and system-level failures to identify root causes and implement reliable solutions. Optimize model training and inference for memory usage, computational efficiency, throughput, and performance. Design and execute tests to verify implementation correctness and compliance with objective performance requirements. Review and validate challenging machine learning engineering tasks, including existing code and proposed solutions. Use coding agents as part of the development workflow to accelerate implementation, debugging, testing, and code review while validating generated results. Document technical approaches, implementation decisions, test results, and performance findings clearly. Deliver high-quality, reproducible task submissions within project deadlines. Requirements Master's degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, Statistics, Engineering, or a closely related quantitative discipline. Strong professional or research experience in machine learning and practical ML engineering. Strong Python programming skills, including the ability to implement, debug, test, and optimize non-trivial code. Hands-on experience using coding agents within a Python development workflow. Understanding of machine learning model development, training and inference workflows, and evaluation methods. Ability to build reproducible implementations and verify correctness through systematic testing. Strong quantitative reasoning and problem-solving skills, particularly when diagnosing numerical or computational issues. Ability to work independently, manage technical tasks, and meet defined quality and submission requirements. Strong written communication skills and the ability to explain technical findings. Availability to contribute approximately 15 hours per week and begin the first task within 24–48 hours after onboarding.

Location: Remote - Ontario, Canada (DNU) Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as Twilio’s next Staff Machine Learning Engineer on Twilio’s AI/ML Platform team. About the job We are actively recruiting for this role to fill an existing vacancy. This position is needed to build the foundational AI/ML capabilities and common platform tooling that power intelligent engagement experiences across Twilio. You will influence the design and evolution of our company-wide ML/AI Ops foundation, ensuring every AI capability incorporates rigorous offline and online evals to maintain exceptionally high quality. You will drive improvements to managing LLM workloads across the company, while ensuring easy and compliant access to data for AI/ML exploration and product development. This role requires a builder mindset to bridge theoretical research, production-grade experimentation, and scalable, enterprise-quality software. Responsibilities In this role, you’ll: Conduct deep-dive research into and implement state-of-the-art LLM inference and orchestration. Identify opportunities to leverage small language via fine-tuning/distillation. Build ML systems that hold up at Twilio scale. Set standards and tooling for building evals across a range of AI/ML capabilities. Rapidly acquire new technical skills and knowledge in a fast-paced, high-delivery environment. Proactively leverage and integrate the latest AI development stacks to bypass boilerplate engineering and focus on core differentiation. Qualifications Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! *Required: 8+ years applied ML/AI experience with a track record of owning technically ambitious systems end to end rather than contributing to someone else's design. Comfort operating in a 0-to-1 setting with ambiguous requirements and a strong bias for action. Proficiency in Python programming language. Experience building cloud-based services on AWS, GCP, or Azure, with high-volume data, streaming or real-time inference paths, and a range of data stores. Strong fundamentals of statistical machine learning algorithms, transformer models, LLMs. Extensive experience with ML Ops and LLM Ops patterns, including designing and implementing rigorous evaluation metrics for non-deterministic AI features at scale. Strong communication skills and highly effective collaborator who works well with teammates. Familiarity with AI-assisted development tools (e.g., Claude, Codex, GitHub Copilot, Cursor, etc.). Desired: Prior experience building evals for autonomous agents and large language models. Prior experience building autonomous agents that handle multi-turn conversations and maintain long-term context/consistency. Prior experience working in a globally distributed team. Evidence of technical leadership/impact, such as contributions to open-source data/ML projects and/or published technical presentations, blog posts, papers, or research. Location This role will be remote and based in Ontario, British Columbia or Alberta, Canada. Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Based on role, employees may also be eligible for additional compensation and benefits, including but not limited to incentive programs, commissions, equity grants, health and wellness benefits, retirement contributions, and paid time off. The estimated pay ranges for this role are as follows: $160,320 - $200,400 Target Bonus Percentage 12.5% The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic . Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. . Stay alert to recruitment fraud We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @ twilio.com email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps. . Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Location: Europe; Canada; Germany; USA EU/US Markets | Amazon FBA | PPC $50K+/mo | $10M+ Revenue Brands | Remote (Full-Time) | Fluent English BRIEF OF THE ROLE Our client is looking for a Senior Amazon Brand Manager to join their fully remote, high-performance consulting agency. Founded by Amazon entrepreneurs who successfully built and exited two 8-figure brands, the agency helps Amazon FBA sellers scale profitably using a proven Done-With-You (DWY) model. This is not a traditional account manager role where you passively execute tasks. You will sit directly on the strategic side: analyzing complex $10M+ brand accounts, building growth roadmaps, troubleshooting catalog issues, and leading clients through high-impact execution. You advise on strategy, track P&L performance, and guide brand owners via weekly strategy calls and daily Slack support. KEY INFO & COMPENSATION - Role: Senior Amazon Brand Manager / E-Commerce Strategy Consultant - Target Markets: United States, United Kingdom, Canada, Germany (US/UK/CA/DE) - Format: Full-time, 100% Remote - Total Pay: $250,000 – $350,000+ / year (Uncapped, performance & revenue-share driven) - Guaranteed Base Salary: $120,000 / year (during ramp-up). - On-Ramp Target: Within 120 days, consultants with a full client portfolio earn at least $17,500/month ($210k annualized baseline) with continuous growth. Top consultants earn $300,000+. - Key Tools: Seller Central, Amazon Ads (PPC/DSP), Helium 10 / Jungle Scout, Slack, Project Management platforms. YOUR BACKGROUND You are a high-performing Amazon expert who has managed large-scale FBA Private Label accounts ($10M+ annual revenue) and knows how to optimize both top-line growth and bottom-line margin. You’ve launched dozens of products, navigated algorithm updates, built custom PPC structures, and solved high-stakes catalog suspensions or listing issues under pressure. You combine deep technical knowledge of Seller Central with strong client-facing leadership. You don’t hide behind email threads; you speak directly with founders, break down complex data into actionable steps, and hold teams accountable for outcomes. QUALITIES WE SEEK - 3+ years of commercial Amazon FBA experience directly managing Private Label brands generating a minimum of $10M in annual revenue. - Amazon PPC Expertise: Direct hands-on experience managing and optimizing ad budgets of at least $50,000+/month. - Organic Ranking Mastery: Advanced skills in keyword research, product launches, search frequency rank (SFR) drivers, and algorithm mechanics. - Logistics & Financial Literacy: Strong grasp of COGS, FBA fees, inventory forecasting, unit economics, and full P&L optimization. - Catalog Troubleshooting Pro: Proven track record diagnosing and resolving complex Amazon issues (suppressions, merge issues, flat files, brand registry errors). - Communication & Project Management: Exceptional verbal and written English fluency, high empathy, and a client-first, proactive attitude. RESPONSIBILITIES & EXPECTATIONS - Lead Strategic Client Calls: Run weekly strategy sessions with brand founders, presenting data-backed growth plans and tracking milestones. - Daily Consultative Support: Provide proactive advice, problem-solving, and direction via Slack and Email. - Troubleshoot & Unblock: Solve complex Amazon catalog, ad, and account health challenges with precision and speed. - Build & Refine Systems: Continuously improve internal consulting playbooks, SOPs, and training frameworks. - Drive Client Retention & Referrals: Build long-term trust; your earning potential increases as your portfolio thrives, stays longer, and generates referrals. WHAT YOU CAN EXPECT FROM THE COMPANY - Uncapped Earning Potential: Direct Revenue Share on your portfolio - as your clients win, your compensation scales rapidly. - Founders-Led Mentorship: Work directly alongside founders who have successfully built and exited 8-figure Amazon businesses. - High-Performance Culture: Fast-paced, transparent environment that values hard work, over-delivery, and speed of execution. - True Remote Autonomy: Work from anywhere across US, UK, Canada, or Germany while collaborating with a world-class team of Amazon specialists.

Location: Almaty, Kazakhstan Workplace: hybrid We are seeking a Social Media Specialist to own inVision U's social media presence across all platforms, translating the university's academic programs, culture, and events into compelling content that resonates with prospective students, parents, and the broader education community. The role combines editorial thinking with hands-on SMM execution, creative production coordination, and PR support, and is critical to building the university's digital brand ahead of and following the first cohort launch. Key Responsibilities 1. Content Strategy & Editorial Execution Develop and maintain the content plan across Instagram, Telegram, TikTok, and YouTube. Translate complex information about academic programs, pedagogy, and university life into engaging social formats. Ensure all content aligns with the university's tone of voice, USPs, and messaging guidelines. 2. Social Media Management Create, schedule, and publish posts; manage event calendars and announcements (internal digests, RSVP events, pre-launch campaigns). Build funnels, UGC campaigns, and news hooks. Produce template-level visual content in Figma. 3. Creative Production Coordination Act as creative producer for outsourced video content. Define formats, draft scenarios (with the copywriter), brief production teams, and manage approvals. Maintain the media bank (photos, videos, assets). 4. PR Coordination Coordinate collaborative posts, influencer partnerships, and media activities. Liaise with the inDrive PR team on joint tasks. Define briefs and quality-control external outputs for tone and messaging consistency. 5. Student Content Coordination Manage student contributors who help produce content. Assign tasks, review outputs, and maintain quality standards. 6. Analytics & Reporting Track content performance using analytics tools (Looker Studio, native platform analytics, or equivalent). Analyze engagement data, identify high-performing formats, and adjust content strategy accordingly. Skills, Knowledge and Expertise Requirements Bachelor's degree in Marketing, Communications, Journalism, Digital Media, or a related field; relevant digital marketing/SMM certifications are a plus. 2–4 years of experience in social media management, content marketing, or digital communications; experience in education, EdTech, or mission-driven organizations is a plus. Experience coordinating freelancers, student teams, or external contractors is preferred. Expertise in social media platforms (Instagram, Telegram, TikTok, YouTube); content planning and editorial calendar management. Basic design skills (Figma, Canva); experience briefing and coordinating video production. Familiarity with analytics tools (Looker Studio, Google Analytics, or native platform insights). Copywriting and storytelling skills in Russian and English. Familiarity with funnel building, UGC strategies, and news hooks; media bank and asset management experience. Strong editorial judgment and ability to work with complex information. Ownership mentality and self-organization. Clear written and verbal communication in Russian and English (Kazakh is a plus). Coordination skills across multiple stakeholders (production teams, PR, students, copywriter). Attention to detail and quality standards; proactive problem-solving. Cultural sensitivity and understanding of the Central Asian youth audience. Nice to Have Understanding of content marketing principles and social media algorithms. Knowledge of the Central Asian digital media landscape. Familiarity with higher education or EdTech sector communications. Awareness of current trends in short-form video, Telegram channel management, and youth-oriented content formats.

Location: Annapolis Junction, MD, United States Job Title Senior‑Level AI Engineer (Python) Why IDS? IDS believes in resolving conflict, building innovative approaches to do so. Combining operational expertise with an intimate understanding of today’s greatest challenges, we bring our customers the solutions required for success in a complex and multidimensional world. IDS tailors' solutions for a diverse range of government, military, nonprofit, and public‑sector clients. Locations Annapolis Junction, MD Shifts Available Please note, candidates must be flexible. Shift times are general hours; some projects may require earlier or later reporting based on customer requirements. Job Description IDS is seeking a Senior‑Level AI Engineer to support the AI and Emerging Technologies mission. The engineer will work closely with mission stakeholders to capture requirements, support structured planning, improve certification processes using AI/ML tooling, and develop AI‑enabled capabilities including fine‑tuning Large Language Models to enhance vulnerability identification and mitigation. Key Duties • Collaborate with technical leadership to design, develop, and maintain LLM orchestration frameworks • Integrate static analyzers, retrieval‑augmented generation (RAG) systems, and automated testing pipelines • Clean, transform, and vectorize documentation, source code, and test artifacts for LLM consumption • Design and implement database solutions to support RAG architectures, artifact storage, and audit trails • Work with systems engineers to architect and deploy networked AI tools within secure enclaves • Perform performance profiling, optimization, and scalability analysis of mission systems • Support security assessments and Authority to Operate (ATO) processes Requirements • Bachelor’s degree with eight (8) years of relevant experience, or Master’s degree with six (6) years, or Doctoral degree with four (4) years • Associate’s degree with ten (10) years of clearly related experience may be considered • Degree in Computer Science or a related field with substantial coursework in algorithms, data structures, programming languages, computer architecture, logic, and advanced mathematics • Proficiency in Python and AI/ML integration • Experience with LLMs, static analyzers, RAG frameworks, and relational and vector databases • Familiarity with Agile methodologies and tools such as Git, Jira, and Confluence • Relevant experience across the software development lifecycle • Active TS/SCI with Polygraph Compensation • Salary range: $155,000 – $175,000 • Benefits

Location: Annapolis Junction, MD, United States Job Title Mid‑Level AI Engineer (Python) Why IDS? IDS believes in resolving conflict, building innovative approaches to do so. Combining operational expertise with an intimate understanding of today’s greatest challenges, we bring our customers the solutions required for success in a complex and multidimensional world. IDS tailors solutions for a diverse range of government, military, nonprofit, and public‑sector clients. Locations Annapolis Junction, MD Shifts Available Please note, candidates must be flexible. Shift times are general hours; some projects may require earlier or later reporting based on customer requirements. Job Description IDS is seeking a Mid‑Level AI Engineer to support the AI and Emerging Technologies mission. The engineer will work closely with mission stakeholders to capture requirements, support structured planning, improve certification processes using AI/ML tooling, and develop AI‑enabled capabilities including fine‑tuning Large Language Models to enhance vulnerability identification and mitigation. Key Duties • Collaborate with technical leadership to design, develop, and maintain LLM orchestration frameworks • Integrate static analyzers, retrieval‑augmented generation (RAG) systems, and automated testing pipelines • Clean, transform, and vectorize documentation, source code, and test artifacts for LLM consumption • Design and implement database solutions supporting RAG architectures, artifact storage, and audit trails • Work with systems engineers to architect and deploy networked AI tools within secure enclaves • Perform performance profiling, optimization, and scalability analysis of mission systems • Support security assessments and Authority to Operate (ATO) activities Requirements • Bachelor’s degree with five (5) years of relevant experience, or Master’s degree with three (3) years, or Doctoral degree with no required experience • Associate’s degree with seven (7) years of clearly related experience may be considered • Degree in Computer Science or a related field with substantial coursework in algorithms, data structures, programming languages, computer architecture, and mathematics • Proficiency in Python and AI/ML integration • Experience with LLMs, static analyzers, RAG frameworks, and relational or vector databases • Familiarity with Agile development and tools such as Git, Jira, and Confluence • Relevant experience across the software development lifecycle • Active TS/SCI with Polygraph Compensation • Salary range: $105,000 – $125,000 • Benefits

Location: Colombia 🌐 Social Media Manager Location: Remote Department: Marketing & Communications Reports to: Head of Marketing / Brand Director 🧠 About the Role We’re looking for a dynamic Social Media Manager to lead our brand’s digital voice across platforms. You’ll be the architect behind our online presence—crafting compelling content, building community, and driving engagement that translates into real-world impact. If you live and breathe trends, analytics, and creative storytelling, we want to hear from you. 🎯 Key Responsibilities •     Develop and execute multi-platform social media strategies aligned with brand goals •     Create, curate, and schedule engaging content (text, image, video, stories, reels, etc.) •     Monitor, respond to, and grow community engagement across all channels •     Analyze performance metrics and adjust strategies for optimal reach and impact •     Collaborate with design, marketing, and product teams to align messaging •     Stay ahead of platform updates, algorithm changes, and emerging trends •     Manage influencer partnerships and user-generated content campaigns •     Prepare monthly reports with insights, wins, and recommendations 🛠️ Requirements •     Proven experience managing social media accounts for brands or organizations •     Strong writing, editing, and visual storytelling skills •     Proficiency in tools like Meta Business Suite, Hootsuite, Canva, or Adobe Creative Suite •     Familiarity with analytics platforms (Google Analytics, Sprout Social, etc.) •     Ability to adapt tone and messaging across different audiences and platforms •     Creative thinker with a strategic mindset and attention to detail •     Bonus: Experience with paid social campaigns and A/B testing 🌟 What We Offer •     A collaborative, creative work environment •     Opportunities for growth and professional development •     Flexible work arrangements •     A chance to shape the voice of a brand that values authenticity and innovation

Location: Remote - US Founded in 2012, Bugcrowd is the preemptive security platform that unifies exposure discovery and assessment, offensive testing, and intelligence shaped by AI and human insight to help organizations avoid, discover, and validate real-world risk. Bugcrowd helps security teams move faster by identifying the exposures that matter most so they can act first and stay ahead of attackers. By combining the power of humans and AI, teams can preempt attack paths and prevent breaches. Based in San Francisco and New Hampshire, Bugcrowd is supported by General Catalyst, Rally Ventures, Costanoa Ventures, and others. Visit www.bugcrowd.com . Job Summary The Bugcrowd RL and Reasoning Team focuses on pushing the boundaries of autonomous cybersecurity by building authentic, verifiable reinforcement learning environments for world-leading foundational AI companies. As a Reinforcement Learning Engineer specializing in Reinforcement Learning from Verifiable Rewards (RLVR), you will design and scale automated verification pipelines that transform real-world software vulnerabilities into deterministic reward functions. In this role, you will bridge the gap between low-level security analysis and modern LLM reasoning models, engineering environments where AI agents learn to discover, exploit, and remediate software vulnerabilities with mathematical certainty. Instead of relying on subjective human feedback, your work directly powers the rigorous, verifiable reward signals that teach next-generation frontier AI models how to master complex cybersecurity domain logic. You will work at the intersection of fuzzing, dynamic program analysis, system exploitation, and scalable ML infrastructure to shape the safety and offensive/defensive capabilities of future artificial intelligence. Essential Duties and Responsibilities Design, build, and deploy high-throughput RLVR (Reinforcement Learning from Verifiable Rewards) environments that evaluate LLM action sequences against deterministic execution outcomes. Develop automated test harnesses, sandboxes, and verification engines that convert complex vulnerability research (e.g., memory corruption, web security, logic bugs) into binary pass/fail reward signals. Integrate Bugcrowd’s Mayhem automated analysis platform and real-world vulnerability feeds into continuous, scalable RL environment generation pipelines. Architect safe, isolated, and highly reproducible execution environments (using Docker, BuildKit, or Nix) capable of running thousands of simultaneous agent-driven exploitation and patching trajectories. Collaborate directly with researchers at frontier AI labs including Anthropic, OpenAI, and Cohere to define standard benchmark formats, observation spaces, and verifiable evaluation metrics for cybersecurity tasks. Implement precise telemetry, ground-truth verification algorithms, and trajectory logging to analyze agent reasoning paths and prevent reward hacking or false positives. Build low-level instrumentation and debugging tools to monitor memory states, process executions, and network behaviors during agent interaction cycles. Optimize infrastructure performance and environment reset latency to support massive-scale parallel sampling and distributed RL training workflows. Benchmark and evaluate frontier AI model performance across diverse offensive and defensive security challenges, such as automated fuzzing, exploit payload generation, and patch validation. Education, Experience, Knowledge, Skills, and Abilities Understanding of RL training workflows used by modern LLM systems, specifically execution-based feedback or Reinforcement Learning from Verifiable Rewards (RLVR). Proficiency developing applications in Python and low-level systems programming in C, with Rust experience being a strong plus. Solid understanding of software vulnerabilities, binary exploitation, fuzzing methodologies, or program analysis. Experience with DevOps pipelines (e.g., GitHub Actions), reproducible builds (Docker, BuildKit, Nix), and comfort working with Linux systems and low-level debugging. Experience working with or building benchmark environments (e.g., CTFs, SWE-bench, security challenges, or execution sandboxes). Preferred Experience Experience designing custom reward functions, ground-truth verifiers, or automated grading engines for AI safety and reasoning models. Background in low-level program analysis tools, sanitizers (e.g., ASan/MSan), compiler instrumentation, or automated exploit generation tools. Proven track record of participating in or developing competitive cybersecurity benchmarks, CTFs, or open-source AI evaluation frameworks. Working Conditions and Physical Requirements The ideal candidate must be able to complete all physical requirements of the job with or without reasonable accommodation. Sitting and / or standing - Must be able to remain in a stationary position 50% of the time Carrying and / or lifting - Must be able to carry / move laptop as needed throughout the work day. Environment - remote, work-from-home 100% of the time. Pay Range Disclosure At Bugcrowd, we strive for fairness, equality and to create an environment that allows our people to perform at their very best. Our compensation philosophy is to foster a collaborative community that rewards, attracts and retains the best possible talent. The provided salary details are based on US national averages and we retain the flexibility to tailor to the needs of the business. The national estimate for the current base range for the position of $176,400 - $242,550. This position may also be eligible to participate in a discretionary bonus program or commission plan, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. Culture At Bugcrowd, we understand that diversity in the workplace is vital to a company’s success and growth. We strive to make sure that people are included and have a sense of being part of making Bugcrowd not only a great product but a great place to work. We regularly hear from both customers and researchers that Bugcrowd feels like a family, and we strive to maintain that internally as well. Our team consists of a broad range of people: musicians, adventure sports junkies, nature lovers, parents, cereal enthusiasts, night owls, cyclists, artists—you get the point. At Bugcrowd, we are solving security threats and vulnerabilities that are relevant to everyone, therefore we believe solving these problems takes all kinds of backgrounds. We value the perspectives and experiences people from underrepresented backgrounds bring. Disclaimer This position has access to highly confidential, sensitive information relating to the technologies of Bugcrowd. It is essential that the applicant possess the requisite integrity to maintain the information in the strictest confidence. The company is authorized to obtain background checks for employment purposes under state and federal law. Background checks will be conducted for positions that involve access to confidential or proprietary information (including trade secrets). Background checks may include Social Security verification, prior employment verification, personal and professional references, educational verification, and criminal history. Applicants with conviction histories will not be excluded from consideration to the extent required by law. Any personal data you submit in connection with your application will be processed in compliance with Bugcrowd's Privacy Policy, which you may review here: https://www.bugcrowd.com/privacy . Equal Employment Opportunity: Bugcrowd is EOE, Disability/Age Employer. Individuals seeking employment at Bugcrowd are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation. Bugcrowd is committed to the full inclusion of all qualified individuals. In keeping with our commitment, Bugcrowd will take the steps to assure that people with disabilities are provided reasonable accommodations. Accordingly, if reasonable accommodation is required to fully participate in the job application or interview process, to perform the essential functions of the position, and/or to receive all other benefits and privileges of employment, please contact HR at ADA at bugcrowd.com. Apply at: https://www.bugcrowd.com/about/careers/

Location: Lisbon, Portugal Joom is a global cross-border marketplace where millions can find anything they want at fair prices. Joom helps consumers to make shopping easy and entertaining and provides access to interesting and unique goods from around the world. Joom is one of the key businesses of Joom Group, an international group of tech-centric group of e-commerce companies founded in 2016 in Latvia. Joom also includes other businesses: JoomPro, the first and only end-to-end cross-border B2B marketplace; JoomPulse, an AI analytics tool for Mercado Livre sellers; and Onfy, a pharmaceutical marketplace in Germany. Joom Group has offices in Latvia, China, Germany, and Brazil, with its headquarters in Lisbon, Portugal. We work as one international team, sharing knowledge and collaborating across countries, businesses and products. We are looking for Lead/Senior ML developers to join our teams: Search team (Lead): will work on improving the core search algorithms, enhancing the system's understanding of user queries and the relevance of products shown in response to searches; developing new functionality to improve the user experience Order Experience team (Senior): developing AI/ML support: specifically, answering user questions using the full context of their orders, profile, transactions, and actions within the service, along with automating refunds Tech stack: Go, Python, Scala, Spark, modern LLMs, PyTorch, Docker, Kubernetes, Airflow, MongoDB, Cassandra, Kafka, Jenkins Requirements Strong algorithmic skills: knowledge of fundamental algorithms and data structures, as well as their implementation in standard libraries Proficiency in any language: experience in developing and debugging distributed, high-load applications, and writing testable code Industry experience in Machine Learning: familiarity with key modeling and training approaches (linear models, GBDT, DNN, etc.), knowledge of statistics, and end-to-end ML development experience, including raw data analysis, hypothesis formulation, model creation, experimentation, and deploying results into production Preferred Experience in developing recommendation or search systems Experience training neural network models Experience working with various data sources: Spark, Cassandra, Mongo, Kafka Knowledge of Go We offer Compensation package: base salary and performance-based bonuses Office-first: flexible hours with a possibility to work remotely 52 days per year Care & Wellbeing: health insurance (including dental care) for employees and their children, daily meal allowance, and 100% paid sick leave Relocation Support: full assistance for a smooth relocation for the employees and their family AI-first approach: licenses and access to a wide range of AI tools Team & Growth: collaboration with colleagues across Portugal, Brazil, Latvia and China, with opportunities for promotions, professional trainings, and English & Portuguese courses Community & Engagement: annual team building activities, knowledge-sharing workshops, and a strong sense of team work Before applying for the above position please review our Candidate Privacy Notice here . By responding to the vacancy, you acknowledge that you have read our Privacy notice.

Location: European Union What you'll be solving A pod is mid-request. The node it's running on is about to disappear - Spot is pulling the instance, or Autoscaler has flagged the node as underutilized and marked it for removal. The safe move is to wait. The profitable move is to act now. Every team in this pipeline is built to close that gap: make the aggressive call and still guarantee nothing breaks. That guarantee is the hard part. Deciding which nodes to kill, which pods to move, and which storage volume to resize is a genuinely hard optimization problem - several of them are P=NP-hard in the general case - and it has to run continuously, in production, faster than a human would ever attempt it by hand. Get it right and clusters run at half the cost. Get it wrong once and you've taken down something live. This posting covers multiple teams working on different pieces of the same automation problem node placement algorithms and provisioning, deep integrations with tools like Karpenter, workload rightsizing (vertical and horizontal), moving running workloads between nodes without interrupting them, storage that scales itself, and GPU capacity optimization across clouds and regions. All of it runs in real time, in production, with no human tuning YAML in the loop. This is a location-specific opportunity. We are currently accepting applications from candidates residing in the following European countries: Bulgaria, Croatia, Estonia, Greece, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Cyprus, Malta, Finland, Sweden, Ireland, Moldova, North Macedonia, Montenegro, Slovenia, and Ukraine. Requirements: Strong software engineering fundamentals: you design clean abstractions, write maintainable code, and can justify your architecture choices - not just make something work. Production experience with Go is strongly preferred; candidates without Go should demonstrate strong systems programming skills in a comparable language. Understanding of Kubernetes internals – autoscaling and networking. You've personally driven a complex project end-to-end. Experience with AI coding agents and agentic development workflows. You've used observability tooling in production. CI/CD and DevOps practices experience. Strong English skills, both verbal and written. Startup mindset: adaptable, proactive, and comfortable with ambiguity. Nice-to-haves: Deep hands-on experience with cloud platforms (AWS, GCP, or Azure) – including real understanding of how compute, networking, and storage work under the hood. Deep knowledge of EKS, GKE, or AKS internals. Container runtime experience CRI-O, runc, containerd. Cloud storage depth – block storage, CSI, volume management, filesystem internals. Low-level Linux experience: process internals, packet-level networking (NAT, iptables, conntrack, eBPF, SDN), filesystems, storage. Low-level systems programming experience in C or C++. Kubernetes or cloud-native OSS contributions. Experience with AI coding agents and agentic development workflows. Responsibilities: Design and build distributed systems that operate Kubernetes infrastructure autonomously at scale. Write production Go services that interact with AWS, GCP, and Azure APIs for real-time cloud resource management. Own features end-to-end: from design through implementation, testing, and production rollout (most projects ship in 1-4 weeks). Debug complex production issues across cloud providers, Kubernetes clusters, and distributed services. Collaborate with product and other engineering teams to solve problems that don't have textbook solutions. Work with time-series data, cloud provider APIs, and Kubernetes control plane internals. Contribute to product direction and backlog - shape what gets built next, not just how it's built. Participate in on-call rotation for teams that require it. Tools we use daily: Programming Languages: Go Cloud & Orchestration: Kubernetes, AWS, GCP, Azure Infrastructure as Code: Terraform Databases & Storage: PostgreSQL, Cloud Object Storage, ClickHouse Messaging & APIs: GCP Pub/Sub, gRPC for internal communication, REST for public APIs Observability: Prometheus, Grafana, Loki, Tempo CI/CD & GitOps: GitLab/Github CI with ArgoCD and Kargo What’s in it for you? Competitive salary (€6,500 - €9,000 gross, depending on the level of experience) Enjoy a flexible, remote-first global environment. Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology. Equity options. Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks. Spend 10% of your work time on personal projects or self-improvement. Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills. Annual hackathon to spark new ideas and strengthen team bonds. Team-building budget and company events to connect with your colleagues. Equipment budget to ensure you have everything you need. Extra days off to help maintain a healthy work-life balance. Hiring process Screening call with Recruiter Hiring Manager interview Technical interview (system design) Live coding Culture Check interview with an executive *As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr. *Please note that Cast AI does not provide any form of visa sponsorship/work permit. #LI-Remote

Location: Cyprus; Finland; Ireland; Malta; Moldova; North Macedonia; Sweden What you'll be solving A pod is mid-request. The node it's running on is about to disappear - Spot is pulling the instance, or Autoscaler has flagged the node as underutilized and marked it for removal. The safe move is to wait. The profitable move is to act now. Every team in this pipeline is built to close that gap: make the aggressive call and still guarantee nothing breaks. That guarantee is the hard part. Deciding which nodes to kill, which pods to move, and which storage volume to resize is a genuinely hard optimization problem - several of them are P=NP-hard in the general case - and it has to run continuously, in production, faster than a human would ever attempt it by hand. Get it right and clusters run at half the cost. Get it wrong once and you've taken down something live. This posting covers multiple teams working on different pieces of the same automation problem node placement algorithms and provisioning, deep integrations with tools like Karpenter, workload rightsizing (vertical and horizontal), moving running workloads between nodes without interrupting them, storage that scales itself, and GPU capacity optimization across clouds and regions. All of it runs in real time, in production, with no human tuning YAML in the loop. This is a location-specific opportunity. We are currently accepting applications from candidates residing in the following European countries: Bulgaria, Croatia, Estonia, Greece, Hungary, Latvia, Lithuania, Poland, Romania, Slovakia, Cyprus, Malta, Finland, Sweden, Ireland, Moldova, North Macedonia, Montenegro, Slovenia, and Ukraine. Requirements: Strong software engineering fundamentals: you design clean abstractions, write maintainable code, and can justify your architecture choices - not just make something work. Production experience with Go is strongly preferred; candidates without Go should demonstrate strong systems programming skills in a comparable language. Understanding of Kubernetes internals – autoscaling and networking. You've personally driven a complex project end-to-end. Experience with AI coding agents and agentic development workflows. You've used observability tooling in production. CI/CD and DevOps practices experience. Strong English skills, both verbal and written. Startup mindset: adaptable, proactive, and comfortable with ambiguity. Nice-to-haves: Deep hands-on experience with cloud platforms (AWS, GCP, or Azure) – including real understanding of how compute, networking, and storage work under the hood. Deep knowledge of EKS, GKE, or AKS internals. Container runtime experience CRI-O, runc, containerd. Cloud storage depth – block storage, CSI, volume management, filesystem internals. Low-level Linux experience: process internals, packet-level networking (NAT, iptables, conntrack, eBPF, SDN), filesystems, storage. Low-level systems programming experience in C or C++. Kubernetes or cloud-native OSS contributions. Experience with AI coding agents and agentic development workflows. Responsibilities: Design and build distributed systems that operate Kubernetes infrastructure autonomously at scale. Write production Go services that interact with AWS, GCP, and Azure APIs for real-time cloud resource management. Own features end-to-end: from design through implementation, testing, and production rollout (most projects ship in 1-4 weeks). Debug complex production issues across cloud providers, Kubernetes clusters, and distributed services. Collaborate with product and other engineering teams to solve problems that don't have textbook solutions. Work with time-series data, cloud provider APIs, and Kubernetes control plane internals. Contribute to product direction and backlog - shape what gets built next, not just how it's built. Participate in on-call rotation for teams that require it. Tools we use daily: Programming Languages: Go Cloud & Orchestration: Kubernetes, AWS, GCP, Azure Infrastructure as Code: Terraform Databases & Storage: PostgreSQL, Cloud Object Storage, ClickHouse Messaging & APIs: GCP Pub/Sub, gRPC for internal communication, REST for public APIs Observability: Prometheus, Grafana, Loki, Tempo CI/CD & GitOps: GitLab/Github CI with ArgoCD and Kargo What’s in it for you? Competitive salary (€6,500 - €9,000 gross, depending on the level of experience) Enjoy a flexible, remote-first global environment. Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology. Equity options. Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks. Spend 10% of your work time on personal projects or self-improvement. Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills. Annual hackathon to spark new ideas and strengthen team bonds. Team-building budget and company events to connect with your colleagues. Equipment budget to ensure you have everything you need. Extra days off to help maintain a healthy work-life balance. Hiring process Screening call with Recruiter Hiring Manager interview Technical interview (system design) Live coding Culture Check interview with an executive *As part of our standard hiring process, we would like to inform you that a background check may be conducted at the final stage of recruitment through our third-party provider, Checkr. *Please note that Cast AI does not provide any form of visa sponsorship/work permit. #LI-Remote