AI Engineer
Зарплата не указана
Данные и ML вакансии — удалённо
Загружаем вакансии…
Загружаем вакансии…
Зарплата не указана
About Us Constructor is the next-generation platform for search and discovery in ecommerce, built to explicitly optimize for metrics like revenue, conversion rate, and profit. Our search engine is entirely invented in-house utilizing transformers and generative LLMs, and we use its core and personalization capabilities to power everything from search itself to recommendations to shopping agents. Engineering is by far our largest department, and we've built our proprietary engine to be the best on the market, having never lost an A/B test to a competitive technology. We're passionate about maintaining this and work on the bleeding edge of AI to do so. Out of necessity, our engine is built for extreme scale and powers over 1 billion queries every day across 150 languages and roughly 100 countries. It is used by some of the biggest ecommerce companies in the world like Sephora, Under Armour, and Petco. About The Role We are hiring Senior Data Scientists across multiple teams at Constructor. Wherever you land, you will work with data from some of the world's largest ecommerce companies, applying statistics and machine learning to problems that directly move business metrics like revenue and conversion rate. Our data scientists design and analyze experiments, dig into how our ranking, personalization, and recommendation algorithms behave, and connect model performance to real business outcomes. During the interview process we will get to know your strengths and interests and match you with the team where you can have the biggest impact. What You'll Do Design, run, and analyze A/B tests measuring impact on key business metrics like revenue, conversion rate, and profit Apply statistical methods and machine learning to solve business and product problems Develop a deep understanding of how our search, ranking, and personalization algorithms work, and how to evaluate and improve them Analyze large-scale behavioral data to generate insights and recommendations for customers and internal teams Build analyses, models, and tools that help teams make better decisions Communicate findings clearly to technical and business stakeholders Requirements Strong experience solving business problems using data science and statistics Solid knowledge of SQL and experience working with large datasets Strong Python skills for analysis and modeling (pandas, NumPy, scikit-learn, visualization libraries) Deep understanding of A/B testing, experiment design, and statistical inference Product & data understanding: Understanding of machine learning systems: how models are trained, evaluated, and tuned Experience connecting model or algorithm performance to product funnels and business metrics Familiarity with ranking, recommendations, or search relevance is a plus Communication & ownership: Ability to communicate insights clearly to both technical and business audiences Comfortable working independently with multiple stakeholders in a fast-paced environment Preferred skills: Experience working in e-commerce or with large-scale user behavioral data Experience in customer-facing analytical work Benefits Work with smart and empathetic people who will help you grow and make a meaningful impact. Regular team offsite events to connect and collaborate. Fully remote team - choose where you live. Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year. Work from home stipend! We want you to have the resources you need to set up your home office. Apple laptops provided for new employees. Training and development budget for every employee, refreshed each year. Maternity & Paternity leave for qualified employees. Base salary: $80k–$120K USD depending on knowledge, skills, experience, and interview results Stock options - offered in addition to the base salary Diversity, Equity and Inclusion At Constructor At Constructor.io we are committed to cultivating a work environment that is diverse, equitable, and inclusive. As an equal opportunity employer, we welcome individuals of all backgrounds and provide equal opportunities to all applicants regardless of their education, diversity of opinion, race, color, religion, gender, gender expression, sexual orientation, national origin, genetics, disability, age, veteran status or affiliation in any other protected group. Studies have shown that women and people of color may be less likely to apply for jobs unless they meet every one of the qualifications listed. Our primary interest is in finding the best candidate for the job. We encourage you to apply even if you don't meet all of our listed qualifications.
80 000 – 120 000 $
Задачи: — читать и разбирать современные научные статьи по заданной теме; — воспроизводить методы из публикаций, работать с авторским кодом и адаптировать его под задачи Авито; — проводить офлайн-эксперименты, сравнивать подходы, анализировать результаты; — реализовывать решения в виде Python-кода; — готовить обзоры и презентации результатов для команды; — участвовать в подготовке научных работ совместно с руководителем; — работать в тесной связке с DS-командами, чтобы исследования доходили до PoC и AB-тестов. Требования: — учитесь на 2−4-м курсах бакалавриата, 4−5-м курсах специалитета или уже получили диплом по технической, математической или IT-специальности; — умеете писать исследовательский код на Python и работать с ML-библиотеками; — владеете SQL и понимаете работу с данными; — имеете опыт участия в research-проектах или написания научных работ; — владеете английским языком на уровне, достаточном для чтения научных статей. Условия: — официальная оплачиваемая стажировка; — период стажировки — 9 месяцев; если вы хорошо проявите себя, мы будем искать возможность предложить вам постоянную позицию; — классная адаптация, профессиональные менторы и погружение в задачи с первого дня; — комьюнити стажёров, в котором можно обмениваться опытом и поддерживать друг друга; — техника для продуктивной работы и компенсация питания; — доступ к корпоративным онлайн-библиотекам «МИФ» и «Альпина»; — забота о здоровье: в офисе принимают терапевт и массажист, есть два тренажёрных зала с душевыми, проводятся функциональные тренировки с тренером; — замечательный офис в двух минутах от метро «Белорусская»: панорамный вид на центр города, места для уединённой работы и зоны отдыха.
Зарплата не указана
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Зарплата не указана
Задачи: - Разработка и развитие микросервисов и data-процессов для online/streaming и batch обработки - Построение пайплайнов обработки, обогащения и репликации данных - Создание витрин, агрегатов и ML-фичей для антифрод-моделей - Работа с большими объёмами исторических данных и тяжёлыми расчётами - Оптимизация производительности и надёжности сервисов и пайплайнов Требования: - Коммерческий опыт разработки на Python - Опыт создания backend-сервисов и data-пайплайнов, понимание микросервисной архитектуры - Опыт работы с большими объёмами данных, понимание batch и streaming обработки - Опыт работы с реляционными и in-memory базами данных - Понимание принципов работы ML-пайплайнов - Будет плюсом: опыт в Anti-Fraud / Risk / Scoring, low-latency системах; Spark, Kafka, Tarantool или Ignite Условия: - Формат работы: удалённо - Пятница — сокращённый рабочий день
Зарплата не указана
Зарплата не указана
Зарплата не указана
Banco Plata is a digital bank and fintech startup specializing in consumer lending, credit cards with a cashback program, and interest-free installment plans. Remote work or relocation options available to Cyprus, Serbia, Spain, Georgia, or Mexico.
Зарплата не указана
Responsibilities: • Design multi-agent systems and integrate LLMs with internal tools • Develop backend APIs, RAG pipelines, and tool/function calling • Build computer vision pipelines for detection, tracking, and re-identification • Optimize real-time video and GPU inference Requirements: • Node.js/Express.js and Python • LLM APIs, prompt engineering, RAG, tool calling, or agent frameworks • Docker, Linux, and Git • PyTorch and OpenCV • Object detection and multi-object tracking (YOLO, ByteTrack/BoT-SORT) • Person re-identification, vector search, and video streaming (RTSP)
1 600 – 3 200 $
Задачи: — Design and build AI/ML-powered features and systems — Work with LLMs, APIs, and model integrations — Develop and optimize AI pipelines for real-world use cases — Collaborate with product and engineering teams — Turn complex AI ideas into scalable production features Требования: — Strong experience with Python and AI/ML frameworks — Hands-on experience with LLMs (OpenAI, LangChain, etc.) — Understanding of model integration, prompting, or fine-tuning — Experience with APIs and backend systems — Strong problem-solving mindset and startup experience
8 000 – 8 000 $
Зарплата не указана