Задачи:
— Владение функциями от концепции до анализа после запуска.
— Проектирование экономики событий, наград, прогрессии и предложений.
— Понимание циклов ресурсов, динамических систем и игровой экономики.
— Работа с аналитикой до и после запуска.
— Балансировка ценности нового контента для укрепления продукта без подрыва существующих систем.
— Сотрудничество с Product Owners, аналитиками, разработчиками, UI/UX дизайнерами, художниками и другими заинтересованными сторонами.
Требования:
— Опыт работы в геймдизайне от 5 лет.
— Глубокие знания успешных mid-core игр (Battler), включая практики LiveOps.
— Опыт работы с LiveOps на существующих проектах с использованием подхода, основанного на данных.
— Фокус на прогрессии, наградах, событиях, предложениях и новом контенте.
— Понимание, сколько золота, изумрудов и других ресурсов зарабатывают и тратят игроки; способность оценивать влияние нового контента на существующие системы.
— Сильное системное мышление и знание рынка 4X.
— Опыт с LiveOps и/или mid-core проектами; понимание влияния экономики на поведение игроков.
Условия:
— Медицинская программа (включая стоматологию) или компенсация медицинских расходов; базовая программа для членов семьи при работе из официальных локаций (Кипр, Армения, Казахстан).
— Оплачиваемые отпускные и больничные; возможность работы из официальных локаций или удалённо.
— Доступ к занятиям йогой, футболом, волейболом в официальных локациях.
— Пакет поддержки при релокации для переезда в официальные локации.
— Курсы английского онлайн; уроки греческого и армянского языков; участие в гейм-джемах, хакатонах, конференциях, митапах в качестве спикеров.
— Поддержка местных сообществ и социальных инициатив; участие в устойчивом развитии и благотворительности.
— Формат работы: в офисах в Армении, Казахстане, Кипре или удалённо.
Команда:
— Работа в команде, создающей Hero Wars: Alliance, быстрорастущую mid-core battler/4X игру.
About the company
We are building business-focused media across popular social platforms.
Responsibilities
— Conduct research in English: find relevant information, organize it clearly, and draw conclusions from it;
— Find, evaluate, and implement new tools and services;
— Work with social media platforms: publish content and analyze performance metrics;
— Source freelancers, including video editors, designers, lawyers, and other specialists;
— Assign tasks to our English-speaking team and oversee the quality of their work;
— Improve existing workflows and guidelines, and create new ones when needed.
Requirements
— You must be based outside Russia;
— At least 2 years of experience as a business assistant, business analyst, product or project manager;
— English proficiency at C1 level or above, with the ability to communicate confidently with English-speaking freelancers and research and analyze information from English-language sources;
— Ability to independently figure out new tools and processes.
What we offer
— Full-time;
— Fully remote work;
— Payment terms will be agreed upon with the successful candidate.
Задачи:
- Развивать инструменты хостинга ML-моделей: внедрять и развивать inference-движки и сопутствующую инфраструктуру, следить за мировыми трендами, делать R&D мировых решений.
- Развивать ML-инфраструктуру: трекер экспериментов Clear ML, внутренние инструменты для разметки данных, векторную БД Milvus, решение для запуска распределенных вычислений, а также те инструменты и сервисы, про которые мы уже думали, но еще не внедрили.
- Развивать внутренние сервисы: поддерживать планировщик вычислительных ресурсов для запуска DS-решений, бота для глубокого анализа каналов поддержки Центра ИИ и прикладные решения для управления кластерами и биллингом.
Требования:
- Опыт работы с Docker и Kubernetes для развертывания ML-моделей.
- Опыт работы с Ansible.
- Знание и опыт внедрения DevOps-практик: CI/CD, IaC, SRE.
- Навыки работы с системами мониторинга Prometheus, Grafana, ELK.
- Опыт программирования на Python на уровне понимания экосистемы, базовых библиотек и навыков написания прикладных программ.
- Опыт проектирования и внедрения инфраструктурных решений.
- Способность и готовность работать в условиях высокой неопределенности.
Будут плюсами:
- Опыт работы в роли MLOps-инженера или аналогичной должности.
- Понимание жизненного цикла ML-решений и специфики их развертывания на production.
- Опыт работы с векторными БД.
- Знание ML-инструментов и библиотек.
- Опыт работы с GPU-серверами и диагностики проблем с GPU.
Условия:
- Уровень дохода, который зависит от ваших технических знаний и навыков. Регулярно пересматриваем зарплаты с учетом профессионального роста. Финансовые бонусы тоже есть.
- Заботу о вашем комфорте. Можете работать удаленно, гибридно или в офисе, в любом случае предоставим технику и все необходимое. Если вам по душе работать из офиса — обеспечим удобным местом, зонами отдыха, кухней с полезными перекусами.
- Сильное инженерное комьюнити. Регулярно проводим внутренние технические конференции, обмениваемся опытом между командами. Вы всегда найдете, с кем посоветоваться.
- Возможность сменить продукт, команду или предметную область внутри компании. Поддерживаем развитие в любом направлении.
- Общение на «ты» и максимум горизонтальных связей в коллективе, чтобы быстрее договариваться и решать рабочие задачи.
- Возможность делиться экспертизой. Помогаем выступать на конференциях, участвовать в подкастах или видео, писать статьи.
- Поддержку профессионального развития. Организуем внутреннее и внешнее обучение.
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About our Machine Learning Business Banking team:
Our mission in Business Banking is to simplify banking for small businesses; making business banking fairer, simpler and more transparent. Monzo Business Banking is fast-growing, is the UK’s most recommended business account for overall service quality. We recently hit 1 million customers and are used by 1 in 6 UK SMEs. We want to help businesses spend less time on financial admin and more time focused on running and growing their business. We’re building intelligent, data-driven and AI/ML-enabled product experiences that help small businesses feel more in control, make better decisions, and get more value from Monzo. ML is at the core of how we build and scale our products, enabling Monzo to make better decisions, faster, and helping us serve businesses more effectively.
As a Lead Machine Learning Scientist in Business Banking, you’ll help build and ship models that power the next generation of Business Banking experiences. You’ll work closely with Product, Engineering, Design, Research, Data Science and Analytics Engineering to bring ML-enabled product capability into the heart of how we build for businesses. Whether it’s helping businesses understand their cash flow, reducing manual admin, surfacing the right insight at the right moment, or helping teams build intelligent product experiences responsibly, our work makes business banking smarter, simpler and more useful for SMEs.
What you'll be working on
As a Lead Machine Learning Scientist, you’ll be a technical leader and hands-on individual contributor, spearheading our ML and GenAI capabilities and shipping key models that powers magical Business Banking experiences. You’ll:
— Be one of the first ML Scientists in Business Banking, bringing leadership through ambiguity by adding structure and direction to our ML capabilities while staying agile and building momentum.
— Develop and deploy advanced ML models on our cloud-native data platform to serve hundreds of thousands of business customers.
— Partner with Product, data science and other stakeholders to identify the highest-impact opportunities, size impact, and define success metrics.
— Decide when to use ML, GenAI, or simpler approaches and be clear on trade-offs.
— Design robust evaluation and monitoring so we can ship responsibly and measure impact in production.
— Lead the design and implementation of batch and near-real-time models (e.g. LLM-powered experiences, predictive models, time-series forecasting).
— Collaborate closely with MLOps and Backend Engineering to operationalise models end-to-end and raise the bar on ML lifecycle rigor.
— Set technical standards, mentor others, and support experimentation and iteration.
You should apply if:
— What we’re doing here at Monzo excites you!
— You have a multiple year track record of excellence leading the development and deployment of advanced Machine Learning models to tackle real business problems, preferably in a fast-moving tech company.
— You have experience developing and shipping state-of-the-art ML models to production and delivering business impact.
— You're impact-driven and excited to own the end-to-end journey that starts with a business problem and ends with your solution having a measurable impact in production.
— You have a self-starter mindset; you proactively identify issues and opportunities and tackle them without being told to do so.
— You speak Python fluently and have extensive, hands-on experience with scikit-learn.
— You are comfortable using SQL, and keen to learn Go, which is used in many of our backend microservices.
— You’re comfortable working in a team that deals with ambiguity and have experience helping your team and stakeholders resolve that ambiguity.
— You want to be involved in building a product that small businesses use to run and manage their financial lives every day.
— You have a product mindset: you care about customer outcomes and you want to make data-informed decisions.
— You’re excited about fast-moving developments in Machine Learning and AI and can communicate those ideas to colleagues who are not familiar with the domain.
— You’re adaptable, curious and enjoy learning new technologies and ideas.
— You’re excited by the opportunity to help Business Banking evolve into AI and ML-enabled product capability.
— You can work closely with Product, Engineering, Design, Research and Data colleagues to shape product strategy, clarify trade-offs and build things that customers actually use.
— You’re thoughtful about responsible ML/AI; especially in financial products where trust, transparency and customer control matter.
Nice to haves:
— Experience working on personalisation, ranking, recommendation, forecasting, classification or decisioning problems for customer-facing applications.
— Experience working on ML systems for fintech, banking, accounting, payments, lending, invoicing, cash flow, tax, risk or business software.
— Experience with GenAI, LLMs, agentic workflows, retrieval, evaluation frameworks, or human-in-the-loop product experiences.
— Commercial experience writing critical production code and working with microservices.
— Experience designing experiments, A/B tests or other approaches to measure product and customer impact.
— Experience working in regulated environments or with products where explainability, auditability and customer trust are especially important.
The interview process:
Our interview process involves 3 main stages. We promise not to ask you any brain teasers or trick questions!
— 30 minute recruiter call
— 45 minute call with hiring manager
— Full Loop: ML Modelling Interview, Product & ML interview, Behavioural Interview, Leadership interview
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.
What’s in it for you:
— We can help you relocate to the UK
— We can sponsor visas
— 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 training courses and conferences
— And much more, see our full list of benefits here
If you prefer to work part-time, we'll make this happen whenever we can - whether this is to help you meet other commitments or strike a great work-life balance.
Задачи:
— Управление планом и сроками доставки инициатив SDK, релизов и обновлений документации;
— Поддержание актуальной карты зависимостей между DevRel, Engineering, Analytics и Marketing, выявление и эскалация рисков и блокеров;
— Координация готовности к запуску каждого релиза или крупного обновления SDK;
— Отслеживание прогресса в Jira и поддержание статуса доставки в актуальном состоянии;
— Ведение живого обзора доставки и проведение еженедельных обзоров исполнения;
— Отслеживание метрик доставки и операционных метрик, выявление проблем на протяжении пути разработчика.
— Подготовка и проведение регулярных программных встреч, рассылка повесток, фиксация и контроль выполнения задач;
— Публикация регулярных обновлений статуса с информацией о прогрессе, предстоящих релизах и активных блокерах;
— Выступление основным контактным лицом для координации между командами;
— Ведение документации в Confluence по процессам, журналам решений и инструкциям по запуску.
— Управление и постоянное улучшение процесса приема и отслеживания запросов, связанных с SDK, сбор обратной связи от продуктовых и DevRel команд, маршрутизация задач, мониторинг прогресса;
— Проведение регулярных синхронизаций с ключевыми контактами из DevRel, Engineering, Analytics и Marketing, решение или эскалация блокеров;
— Координация инициатив по взаимодействию и повторному вовлечению SDK-мерчантов;
— Выявление повторяющейся обратной связи и метрик доставки/операций для информирования Product Lead о приоритетах.
Требования:
— 2–4+ года опыта в координации доставки/проектов, желательно в B2B, SaaS или платформах для разработчиков;
— Владение Jira и Confluence для отслеживания, отчетности и документации;
— Сильные организационные навыки для управления несколькими рабочими потоками и согласования кросс-функциональных команд;
— Базовое понимание SDK/APIs и рабочих процессов интеграции разработчиков;
— Сильные навыки сотрудничества и коммуникации с техническими командами и бизнес-стейкхолдерами;
— Умение работать самостоятельно, управлять конкурирующими приоритетами и проактивно выявлять и эскалировать проблемы;
— Ориентированность на данные для отслеживания прогресса и выявления узких мест;
— Свободное владение английским языком (письменно и устно).
Плюсы:
— Знакомство с экосистемами мобильных приложений (iOS/Android) и распространением SDK;
— Опыт работы с документацией для разработчиков или процессами онбординга;
— Знакомство с моделями роста self-service/PLG;
— Опыт работы с распределенными командами, ориентированными на асинхронное взаимодействие и разные часовые пояса.
Job Description Truv's platform is most powerful when it's embedded directly into the systems lenders already use. That means deep, well-run partnerships with the POS and LOS platforms at the center of the origination stack. This is a build-from-zero role. As our Partnerships Manager, Mortgage, you'll stand up Truv's partner motion and balance two priorities:
What you'll do
Land the Ecosystem – Sign and activate the POS/LOS and technology partners that put Truv in front of lenders where they already work.
Turn Partners into Pipeline – Build the joint go-to-market, integrations, and co-selling motions that convert partnerships into revenue.
Collaborate across Sales, Product, and Marketing, and work closely with the VP, Mortgage on ecosystem strategy.
Задачи:
— исправление отдельных ошибок в backend
— небольшие изменения существующих API
— проверка корректной работы некоторых функций перед обновлением приложения
Требования:
— реальный практический опыт с Go и backend-проектами
— умение работать с существующей системой и production-кодом
Условия:
— краткосрочный этап по мобильному проекту в сфере travel & booking
— работа с существующим Go-кодом и PostgreSQL
— клиентская часть проекта на Flutter
— оплата за текущий этап 150 000 ₸
— при успешном закрытии этапа и выходе приложения в релиз планируется продолжение работы с оплатой около 300 000+ ₸ в зависимости от объёма задач
Задачи:
- Разработка новых фич и участие в создании продукта с нуля.
- Модернизация архитектуры и рефакторинг legacy-кода.
- Проектирование и реализация сервисов на Java / Spring Boot.
- Работа с Kafka, Docker, GitLab, Kubernetes.
- Участие в Code Review и Agile-процессах.
- Взаимодействие с Product Owner, разработчиками и дизайнерами.
Требования:
- Опыт коммерческой разработки на Java / Spring Boot от 3 лет.
- Знание Maven, GitLab, Kafka, Docker.
- Базовое знание Kubernetes.
- Опыт работы с Oracle PL/SQL: пакеты, процедуры.
- Опыт работы с микросервисной архитектурой.
- Понимание Agile и практики Code Review.
- Опыт рефакторинга и работы с legacy-кодом.
Условия:
- График 5/2 с выбором времени начала рабочего дня.
- Гибридный формат работы после испытательного срока.
- Конструктор льгот на выбор: ДМС, компенсация такси, авиа- или железнодорожных билетов, оплата спортивных секций.
- Корпоративное обучение, доступ к Coursera, курсы английского и казахского языков.
- Возможность участвовать в создании и развитии ключевых инфраструктурных решений финансового рынка.
Position Summary: The Medical Science Liaison (MSL) reports to the Sr. Director, National Field Medical Affairs and is responsible for fostering strong relationships with key opinion leaders (KOLs) and supporting the scientific and clinical strategy of Orca Bio's next generation allogeneic cell therapies. The ideal candidate will have deep expertise in hematopoietic stem cell transplantation (HSCT), cellular therapy, and the evolving cell therapy landscape, including clinical, operational, regulatory, and market access considerations. The MSL will serve as a trusted scientific partner between Orca Bio and external healthcare providers (HCPs), establishing strong professional collaborations with investigators and other HCPs within the designated territory (Southern California, Arizona, New Mexico, or Colorado). The MSL will also be an active leader and contributor on projects supporting Medical Affairs Strategic Objectives.
Responsibilities:
— Serve as a subject matter expert in stem cell transplantation, cell therapy, and cellular immunotherapy, providing scientific insights on treatment paradigms, clinical operations, patient access, and competitive landscape.
— Identify, develop, and maintain deep scientific, peer-to-peer relationships with academic stem cell therapy experts, thought leaders, HCPs, and access stakeholders to answer scientific and product-related questions and ensure safe and appropriate use of Orca Bio products.
— Prepare and maintain a territory management plan shared with Medical Leadership and internal stakeholders.
— Engage with Orca field team members to provide medical support for onboarding activities related to treatment center authorization, adverse event reporting, handling out-of-spec products, and partner with Market Access colleagues to provide medical education and support to local payers.
— Maintain a deep and current understanding of hematologic malignancies, stem cell transplantation, cell therapy, cellular immunotherapy, and competitive developments to facilitate high-level scientific exchange.
— Assess transplant and cell therapy landscape through engagement with KOLs, investigators, and academic centers to identify scientific trends, evidence gaps, and research opportunities relevant to Orca Bio's therapies.
— Serve as primary liaison for Orca Bio's Investigator-Sponsored Trial (IST) program, supporting research concept development, proposal and protocol development, governance communication, and scientific oversight throughout study phases.
— Gather and communicate actionable scientific insights and stakeholder feedback to leadership and cross-functional partners to inform medical strategy, evidence generation, and lifecycle planning.
— Provide scientific and clinical expertise to support internal and external stakeholders through advisory boards, clinical investigator meetings, educational meetings, professional organizations, advocacy groups, GPOs, and speaker bureaus.
— Support clinical trial activities to enhance patient recruitment, enrollment, and discussions on safe and effective use of investigational products, ensuring adherence to Good Clinical Practice (GCP) and regulatory standards.
— Lead collection, analysis, synthesis, and dissemination of scientific information from congresses and scientific exchanges, translating data and feedback into actionable recommendations.
— Coordinate efforts of other MSLs for congress coverage when assigned.
— Provide medical and scientific support for health outcomes, real-world evidence, and payer/provider engagement strategies.
— Initiate and autonomously execute projects aligned with Orca Bio’s scientific, clinical, and business operations, partnering with research, clinical development, commercial, market access, regulatory, and quality functions.
— Provide education and training to commercial marketing and sales teams on therapies and disease states.
Required Qualifications:
— Advanced clinical degree in life-science or basic-science discipline (MD, DO, PharmD, NP, PA, DNP, M.Sc, or Ph.D.) and industry experience as an MSL.
— Significant clinical and/or industry experience in malignant hematology, HSCT, cellular therapy, CAR-T, immune effector cell therapies, or other advanced therapy modalities.
— Strong understanding of cell therapy ecosystem including transplant center operations, apheresis and cell processing workflows, treatment center authorization, patient referral pathways, and competitive cell therapy products.
— Strong understanding of clinical development, regulatory requirements, and commercial strategies; HEOR data experience is a plus.
— Excellent interpersonal and communication skills to engage and influence diverse stakeholders.
— Ability to interpret and present complex scientific data to diverse audiences.
— Strong strategic thinking, problem-solving skills, and solution-oriented mindset.
— Ability to collaborate with cross-functional colleagues to serve internal and external stakeholder needs.
— Ability to work independently and manage multiple priorities in a fast-paced, dynamic environment.
Preferred Experience:
— 5+ years of industry experience as an MSL.
— Experience with field medical launch planning, execution, and post-launch support.
— Direct experience supporting cell therapy, stem cell transplantation, CAR-T, or other advanced therapeutic platforms.
— Experience working in a small biotech company or start-up environment.
Compensation and Benefits:
— Annual salary range $195,000 - $245,000 based on experience, education, location, and other factors.
— Eligibility for pre-IPO equity and annual bonus.
— Competitive medical, dental, and vision benefits.
— PTO, 401(k) plan, life and accidental death and disability coverage, and parental leave benefits.
— Other perks include subsidized daily lunches and snacks at on-site locations.
Responsibilities:
— Own a portfolio of advertiser and demand-side accounts running user acquisition campaigns on the Xsolla Offerwall, serving as the primary point of contact for day-to-day campaign management and strategic growth.
— Drive revenue growth by identifying upsell and expansion opportunities within existing accounts and onboarding new demand partners aligned with Xsolla's publisher network.
— Monitor campaign performance closely using KPIs such as CPI, CTR, ROAS, ARPDAU, and LTV to diagnose issues, surface insights, and recommend optimizations that improve advertiser outcomes.
— Develop and present data-driven business reviews, campaign recaps, and growth roadmaps that translate performance metrics into clear, actionable strategies for partners.
— Act as a trusted advisor to UA and monetization teams at partner studios, providing guidance on budget allocation, creative strategy, targeting, and bid optimization within the Offerwall environment.
— Collaborate cross-functionally with Xsolla's product, operations, and technical teams to relay partner feedback, resolve campaign blockers, and influence the product roadmap.
— Stay current on trends in mobile user acquisition, rewarded advertising, and the broader AdTech landscape to ensure partner strategies remain competitive.
— Manage multiple accounts and competing priorities simultaneously, consistently delivering results in a fast-paced and evolving environment.
Who you are:
— 3+ years of experience in account management, sales, or business development within AdTech, mobile advertising, user acquisition, or a related performance marketing field.
— Demonstrated track record of growing advertiser accounts, hitting revenue targets, and managing client relationships end-to-end.
— Comfortable working with performance data and KPIs including CPI, CPM, CPC, CTR, ROAS, ARPDAU, and LTV.
— Able to diagnose campaign performance issues, interpret trends, and translate data into concrete recommendations for partners.
— Proficient in tools such as Google Sheets, BI dashboards, and CRM platforms.
— Solid understanding of mobile user acquisition strategies, rewarded advertising mechanics, and performance marketing models.
— Exceptional written, verbal, and presentation skills; able to communicate performance and strategy clearly to both technical and non-technical stakeholders.
— Proven ability to work cross-functionally with product, operations, and technical teams to deliver for clients.
Nice to Have:
— Familiarity with the gaming publisher and advertiser ecosystem, including how game studios approach UA spend, retention, and LTV optimization.
— Experience with demand-side platforms (DSPs), offerwalls, or rewarded ad networks.
— Proactive, entrepreneurial mindset with a genuine interest in the intersection of gaming and performance advertising.
Benefits:
— 100% company-paid medical, dental, and vision plans.
— Unlimited Flexible Time Off.
— Personalized career roadmap for each employee.
— Professional development through training and educational opportunities.
— Supportive environment prioritizing physical, mental, and emotional well-being of employees and their families.
Задачи:
— разрабатывать и внедрять современные решения в области компьютерного зрения
Требования:
— опыт коммерческой разработки в области Computer Vision от 3 лет
— хорошее понимание классического машинного обучения, статистического анализа, классических алгоритмов Computer Vision
— практический опыт работы с нейросетевыми фреймворками PyTorch
— умение читать научные статьи, воспроизводить решения и адаптировать их под реальные задачи
— уверенное владение библиотеками NumPy, scikit-learn, Matplotlib, OpenCV
— уверенная работа с Linux (предпочтительно Ubuntu, Mint или Debian)
— опыт контейнеризации с использованием Docker и Docker Compose
— уверенное владение Git
— английский язык — Upper-Intermediate (B2) или выше (обязательно)
— наличие проектов, которые были самостоятельно доведены до production
Будет преимуществом:
— опыт разработки систем видеоаналитики и/или видеонаблюдения
— опыт оптимизации скорости инференса моделей с использованием ONNX Runtime и TensorRT
— практический опыт работы с Graph Neural Networks (GraphNN/GNN) и Metric Learning
— опыт работы с Kubernetes (K8s)
Мы ищем человека, который:
— любит решать сложные инженерные задачи
— следит за современными исследованиями в области AI и Computer Vision
— умеет самостоятельно принимать технические решения и доводить проекты до результата
— готов работать над задачами полного цикла — от исследования и прототипирования до внедрения в production
RELOCATION TO GERMANY 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 Intelligence to Optimize 200M+ Daily Decisions
As the intelligence core of our engineering organization, our Data Science team doesn’t just deploy models, we engineer the fundamental decision engine that powers our platform. At a scale of 770 million users and 100,000+ predictions per second, we are solving a multi-objective optimization problem that balances user incentives, advertiser ROI, and long-term platform health in real time. Our architecture is built on a 1PB+ behavioral data lake, providing the high-fidelity input necessary to train deep learning models that predict individual user engagement with precision. We aren’t just optimizing clicks, we are dynamically calculating optimal reward structures to sustain a global value exchange. Engineered for performance, our stack leverages Tensorflow and PyTorch for model training, NVIDIA Triton to achieve sub-100ms inference. We own the full ML lifecycle from high-level research and feature engineering to deployment and A/B experimentation. Here, you will find the autonomy, the data depth, and the massive scale required to solve the most complex optimization challenges in the adtech ecosystem.
Your Mission & Who We Are Looking For:
— Proven track record in production ML with 5+ years in Data Science and deployed models that moved real business metrics.
— Building models that predict LTV, conversion, and user behavior across 770 million users, impacting advertiser ROAS and publisher revenue.
— Deep learning as primary tool with strong hands-on experience in PyTorch or TensorFlow and production deployment handling 1M+ daily predictions.
— Full ML lifecycle ownership from data extraction using Trino, Spark, or AWS Athena, through model development, A/B validation, to production deployment.
— Experience with Airflow or model hosting is a strong plus.
— Fluent in Python and data at scale, comfortable with pandas/polars, numpy, scikit-learn, LightGBM, CatBoost, XGBoost, and advanced SQL skills.
— Ability to translate product requirements into ML logic and explain model behavior and impact to non-technical stakeholders.
— AdTech experience is a strong plus.
What’s in It for You?
— Relocation support to Hamburg, Germany for worldwide talent.
— Opportunity to build infrastructure behind impactful adtech platform reaching hundreds of millions of users and powering billions of decisions daily.
— Ownership of projects impacting 770M users and pushing adtech boundaries.
— Fast-paced environment with multiple daily solution deployments and learning from results.
— Collaborative culture with diverse global team from over 40 countries.
— Enjoy daily victories and energetic work environment.
Задачи:
- Разрабатывать REST API с использованием FastAPI;
- Проектировать и реализовать backend-сервисы с нуля;
- Проводить интеграции с базами данных и системами обмена данными;
- Обеспечивать масштабируемость и отказоустойчивость сервисов;
- Писать и поддерживать автоматизированные тесты;
- Настраивать и поддерживать CI/CD процессы для непрерывной интеграции;
- Участвовать в планировании задач и работе по методологии Scrum;
- Тесно взаимодействовать с командой для оперативного решения технических вопросов.
Требования:
- Сильные инженерные навыки, самостоятельность, понимание полного цикла доставки приложения;
- Уверенный опыт настройки и использования CI/CD, работы с Docker и Kubernetes;
- Понимание DevOps-культуры, умение написать и поддержать Helm-чарт/Dockerfile, разобраться с деплоем, настроить базовый мониторинг и алертинг;
- Глубокие знания Python и опыт работы с FastAPI;
- Опыт работы с PostgreSQL, ClickHouse, Kafka, Redis, Spark;
- Умение писать чистый, поддерживаемый код с соблюдением best practices и знание архитектурных паттернов;
- Опыт работы в высоконагруженных системах и решения реальных задач на production;
- Аналитический склад ума, системное мышление и готовность самостоятельно доводить задачи до конца;
- Продвинутое знание инструментов мониторинга (Prometheus, Grafana, Opensearch/ELK);
- Глубокий опыт в DevOps, опыт работы с Triton Inference Server и другими инструментами деплоя ML-моделей будет плюсом.
Задачи:
— Проектировать и развивать модели компьютерного зрения и видеоаналитики (детекция, трекинг, распознавание лиц, анализ поведения);
— Интегрировать ML-модели в production (backend, edge);
— Обучать и дообучать модели (fine-tuning, transfer learning);
— Работать над реальными AI-проектами с бизнес-применением;
— Сопровождать полный цикл разработки: от исследования до деплоя;
— Оптимизировать модели и повышать качество CV-решений.
Требования:
— Уверенные знания Computer Vision и современных DL-подходов;
— Глубокое понимание машинного обучения и нейронных сетей (CNN, detection/segmentation);
— Уверенное владение Python;
— Опыт работы с OpenCV, NumPy, PyTorch и/или TensorFlow;
— Опыт работы с Git;
— Опыт оптимизации моделей (speed/accuracy trade-offs, inference);
— Опыт решения задач детекции, трекинга и анализа поведения людей.
Условия:
— Формат работы: офис, Астана.
About this role: TelQ Telecom is a globally recognized SMS quality assurance provider, established in 2016 — a small, profitable team building the SMS testing tool telecom teams worldwide actually trust. Now we’re looking for a marketer who runs with AI. 180+ countries covered 1,500+ live mobile networks 25+ team members 100M+ SMS tests delivered 7 Antonio Meucci Global Telco Awards since 2023
The role: You’ll own our new product ClickTerm — clickwrap software for capturing legally enforceable online consent. Every channel is yours to run, from SEO to paid to email, alongside our Lead Marketing Manager, with AI as your leverage across the full funnel.
Key responsibilities:
SEO & Content Strategy & research : Run keyword research and build a content plan tied to business goals
Content creation : Write and edit blog posts, landing pages, and product pages
On-page SEO: Optimize titles, meta descriptions, headings, URLs, image alt text, and internal links across the site
Technical SEO : Run audits and fix page speed, mobile issues, crawlability, indexing, and schema/structured data
Conversion rate optimization : Improve layout, copy, and CTAs to turn more traffic into signups
Link building & crowd marketing : Build internal links and earn quality backlinks to grow domain authority. Build our presence on Reddit and niche communities
AI search: Optimize content to get cited and surfaced in AI Overviews and AI assistants (ChatGPT, Perplexity, Gemini), not only classic search.
Paid traffic
Plan, set up, and manage campaigns across Google Ads, Meta, and LinkedIn (search, display, social, retargeting)
Own the paid budget — decide how to split spend across channels and shift it toward what performs
Run structured A/B tests on audiences, creatives, and offers, and scale the winners
Set up conversion tracking and watch CAC, ROAS, and CPA to guide decisions.
Social & Video
Plan and run the content calendar across our key channels (e.g. LinkedIn, X, Facebook)
Create and edit videos with AI tools — short-form for social plus instruction and demo videos that show people how the app works.
Lifecycle marketing
Build and own the core flows: welcome/onboarding, activation, nurture, and win- for inactive users
Set up email (and push/in-app messages) with automation triggers and segments so the right message reaches the right user.
AI & Automation
Use AI across all your work — research, content, creative, analysis, and reporting
Build your own automations and workflows to cut manual work (no-code tools like n8n/Zapier, plus light scripting where needed).
Analytics
Own tracking setup: GA4, events, UTMs, and conversion tracking
Build clear dashboards and on channel performance
Analyze the full funnel — from first visit to signup to active user.
Skills and qualifications:
3+ years in growth, digital, or performance marketing — Range across channels matters more than tenure.
Full-funnel hands-on skills — Real experience across SEO, paid, content, social, email, and CRO.
AI is already core to how you work — Fluent use to research, create, edit, analyze, and automate.
Hands-on with tools like Claude / ChatGPT for workflows.
SEO & CRO know-how — On-page, technical, and content SEO, plus improving pages to convert more traffic into signups.
Paid media experience — Can run and optimize Google, Meta, and LinkedIn campaigns against CAC, ROAS, and CPA.
Video creation — Can script, produce, and edit short-form, demo, and instruction videos with AI tools.
Familiar with the modern marketing stack — e.g. GA4 & Search Console, Ahrefs or Semrush, Google/Meta/LinkedIn Ads, Mailchimp, Mailjet or Mailgun, Looker Studio.
Data-driven — Comfortable in GA4, UTMs, and reading a funnel end-to-end.
Strong written English — Clear, simple copy that also translates well across markets.
Startup-ready, owner mindset — You ship fast, set your own priorities, and don’t wait for a brief.
Why you should work with us:
Start-up environment, stable ground. Profitable, customer-loved, and still growing
Your work ships, end-to-end. You own channels and see real impact
AI-first, for real. You’ll have the freedom and tools to build a modern, automated marketing engine
A small team that supports each other.
Benefits:
Flexible hours & remote work options
Premium health insurance (family coverage)
25+ vacation days with fully covered medical leave
Paid courses & certifications
Top-notch equipment
Small, friendly team environment
To apply, send us:
Your CV or LinkedIn (in English)
A 3–5 line note: “One growth result you personally drove, and one AI workflow you built that changed how you work.”
Portfolio / links (content, campaigns, videos, dashboards)
Optional: “Which AI tools are in your daily stack?”
About Whizz
Whizz is the largest e-bike subscription service for gig delivery workers in North America. We rent maintained, insured e-bikes to independent couriers on a monthly subscription. We operate in six states, with New York as our largest market, and employ 100+ people.
Purpose of the Role
The Head of Finance owns the company's finance and accounting function. This is an operational role. The priority is accurate reporting, disciplined budgeting, and financial control across a physical, asset-heavy business.
Responsibilities
Financial reporting. Own the preparation and accuracy of the P&L, cash flow statement, and balance sheet. Run the monthly close on schedule and ensure the reporting package is consistent, reconciled, and usable by management.
Inventory and fleet accounting. Own how inventory and fixed assets are recorded and reflected in the financial statements. This includes maintaining and improving the capitalization and depreciation policy for bikes, batteries, and spare parts, managing the fixed asset register, accounting for disposals and write-offs, and reconciling operational inventory records against the general ledger.
Budgeting and financial model. Maintain the company's financial model for internal planning purposes. Build the annual and quarterly budgets with department heads, track actual performance against plan, and variances with recommended corrective action.
Financial control. Build the financial control function: approval and authorization procedures, spend controls, segregation of duties, and regular controls over cash, receivables, and payables.
Team and external partners. Manage in-house accountants and the outsourced accounting firm, define the division of work between them, and hold both to agreed deadlines and quality standards.
Compliance and operations. Oversee payroll, multi-state tax registrations and filings, statutory reporting, and audit readiness. Oversee accounts payable, accounts receivable, collections, and payment processing operations.
Cross-functional Work
The Head of Finance works directly with the operations, supply chain, and product teams on projects such as pricing changes, new city launches, vendor contracts, warehouse and inventory processes, and payment system changes. The role is expected to identify and address the financial and accounting implications of these projects at the design stage.
Requirements
7+ years in accounting and finance, including experience owning a full monthly close as Controller, Head of Finance, or equivalent.
Experience in the US market.
Experience with inventory and fixed asset accounting in a physical business.
Multi-state payroll and tax compliance experience.
Experience managing accounting staff and outsourced providers.
Experience in a company where processes had to be built rather than maintained.
Strong systems skills, including accounting system implementation or migration.
What We Offer
Competitive salary and benefits.
Fully remote work in the rapidly growing business.
Full ownership of the finance and accounting function.
Direct reporting line to the CEO.
RELOCATION TO GERMANY 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 Intelligence to Optimize 200M+ Daily Decisions
As the intelligence core of our engineering organization, our Data Science team doesn’t just deploy models, we engineer the fundamental decision engine that powers our platform. At a scale of 770 million users and 100,000+ predictions per second, we are solving a multi-objective optimization problem that balances user incentives, advertiser ROI, and long-term platform health in real time. Our architecture is built on a 1PB+ behavioral data lake, providing the high-fidelity input necessary to train deep learning models that predict individual user engagement with precision. We aren’t just optimizing clicks, we are dynamically calculating optimal reward structures to sustain a global value exchange. Engineered for performance, our stack leverages Tensorflow and PyTorch for model training, NVIDIA Triton to achieve sub-100ms inference. We own the full ML lifecycle from high-level research and feature engineering to deployment and A/B experimentation. Here, you will find the autonomy, the data depth, and the massive scale required to solve the most complex optimization challenges in the adtech ecosystem.
The data infrastructure behind this runs at real scale: 2TB ingested in real time every day, 100+ Airflow jobs and data pipelines, and ML models handling p99 latency of 100ms across 100,000+ predictions per second.
As a Data Engineer on this team – you’ll be building and maintaining the infrastructure that makes them possible: the Feature Store, the data pipelines, the data quality systems, and the data architecture that data scientists depend on to move fast.
Your Mission & Who We Are Looking For:
Data engineering at ML scale. You have 5+ years in data engineering on a modern stack, with proven experience handling systems that process several TB of data per day and thousands of events per second. Flink is your default for real-time. You have hands-on experience with Apache Flink for stateful stream processing and real-time feature computation. You’ll translate Data Science requirements into high-performance streams, enable Data Scientists to contribute new features and implement features yourself when needed.
Pipeline bottlenecks don’t survive long around you. You know how to identify and eliminate inefficiencies in complex ETL jobs, whether handling high-volume batch processing or real-time streaming systems like Kafka. At adjoe, data velocity is critical: slow pipelines directly impact model freshness and prediction quality at sub-100ms inference.
You think in layers, not tables. You move beyond raw data to design robust, multi-layered data architectures using dbt, and can reason confidently about storage formats, Data Lakehouse models, and what belongs where in a 1PB+ data lake. Familiarity with Medallion Architecture is a strong plus.
The bridge between Data Science and Backend. You’ve worked closely with Data Scientists on online ML systems with low latency requirements, and understand what it takes to make experimental research production-ready. Strong Java required; Go or Python a plus.
Owns quality, not just delivery. You implement data validation, monitoring, and governance processes in production, because in a system where model inputs directly drive advertiser ROI, data integrity isn’t optional.
Experience with Airflow, Kubeflow, AWS, Terraform, and Kubernetes is a strong plus.
🌎 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 helping build the infrastructure behind one of the most impactful platforms in adtech. The systems you work on will reach hundreds of millions of users and power billions of decisions every day.
Go Big. Own projects with impact on 770M users and push adtech boundaries.
Move Fast. Ship solutions multiple times a day, learn from results, and keep momentum.
Be Direct. Solve problems openly and collaborate across teams.
Thrive Together. Grow with a diverse, global team of people from over 40 different countries that learn from each other.
Have Fun. Celebrate wins, enjoy daily victories, and bring your energy.
About the company: Plurio builds AI agents for performance marketing, automating analysis and optimization for media buying teams managing $300K–$15M/month on Google, Meta, and TikTok. Their AI agents handle budget allocation, creative management, and automation rules based on historical data and ML models, managing over $500M/year in ad spend.
The Role: The Senior Marketing Analyst owns marketing attribution and measurement, ensuring trustworthy and explainable performance metrics across channels with complex attribution models (first/last/multi-touch, custom windows, LTV-driven funnels). Responsibilities include cross-channel and funnel analysis integrating paid media, on-site behavior, CRM, and backend revenue to diagnose funnel leaks and unit economics issues. The role requires deep understanding of paid-channel analytics on Meta and Google platforms to inform reallocation and optimization decisions. The analyst builds AI-driven analytical workflows using AI agents (Claude Code, Cursor, Codex) to automate data preparation and analysis, designs repeatable pipelines, and creates clear dashboards and reports (Power BI, Looker, Tableau) with real-time anomaly detection. The analyst collaborates with product, data, and engineering teams to align analytical models with product development.
Requirements: Excellent SQL skills with ability to write, debug, and optimize complex queries and teach AI agents to do so. Proven experience in marketing analytics and performance marketing, including attribution and management of Meta and Google Ads. Hands-on experience with AI coding agents to build workflows and automations. Systemic thinking focused on repeatable pipelines and automated analysis. Proficiency with Git for version control of queries and workflows. Strong communication skills to translate data into actionable decisions. Professional-level English and reliable overlap with US business hours.
Preferred: Python for analysis beyond SQL, experience with dbt, modern data warehouses (BigQuery, Snowflake), ETL/pipeline work, web/measurement tools (GA4, GTM, server-side tracking), experience with complex funnels and LTV-driven models in sectors like EdTech, FinTech, Consumer Apps, B2C SaaS, Healthcare, Home Services. Independent project ownership and public samples of work.
Red Flags: Creating dashboards without marketing or attribution understanding, SQL only via drag-and-drop BI tools, using AI agents only as chat without workflow building, theoretical marketing analytics without hands-on Meta/Google Ads experience.
What to Expect: Competitive compensation aligned with senior experience, AI-first culture with advanced tooling, significant impact on client outcomes and AI product, remote work with US-hours overlap.
Hiring Process: Application with CV and short answers, intro call, technical interview on SQL and marketing analytics, final culture fit conversation, paid trial period, then offer.
How to Apply: Fill out the application form at the provided link; no cover letter required.
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