ML-тимлид в кредитные продукты

О команде:

Команда распознавания окружения решает задачи обучения нейронных сетей для распознавания в самых разных сценариях. Мы твёрдо знаем: создать эффективный нейросетевой алгоритм без качественных данных невозможно. Именно поэтому мы строим собственную инфраструктуру для подготовки, обработки и интеграции данных во фреймворки обучения моделей распознавания.

Мы в поисках ведущего разработчика-исследователя в области глубокого обучения и компьютерного зрения (Senior DL/CV Research Engineer) с глубоким знанием высшей математики и проективной геометрии. Специалисту предстоит создавать и оптимизировать нейросетевые алгоритмы восприятия для автономного транспорта, используя Python, базовый C++ и технологии параллельных вычислений (CUDA).

Чем предстоит заниматься:

• Разработка интеллектуальных решений в области глубокого обучения/DL (компьютерное зрение/CV) задач в домене восприятия автономного транспорта;
• Анализ современых подходов и реализация нейросетевых архитектур, обучение, проверка гипотез и проведение исследований;
• Разработка и интеграция модулей нейронных сетей в готовый стек восприятия.

Что мы ждем от кандидата:

• Уверенное знание глубокого обучения/DL (уровень погружения до самых глубоких вннутренних процессов обучения и research), машинного обучения/ML (понимание математики основных классических подходов), линейной алгебры (проективная геометрия, эпиполярная геометрия) и математического анализа, математической статистики;

• Опыт работы с компьютерным зрением/Computer Vision задачам в разных доменах;

• Умение писать продвинутый код на Python;

• Умение писать и читать базовый код на C++;

• Умение писать код для высоконагруженных систем (cuda, openml, mpi).

Recraft is a graphic design research lab building state-of-the-art image generation models and tools for designers, illustrators, marketers, and developers.

Founded in 2022 and based in London, we build for commercial design standards: full creative control, style consistency, and native vector outputs, an API for teams who want to integrate that capability directly into their workflows, plus mobile app for those who prefer not to be distracted from the process without a computer.

Over 3 million creators across 190+ countries use Recraft. Our mission is to help everyone who works with visuals get the job done, without lowering the bar on design.

If you want to help set that standard, we'd like to hear from you.

Job Description

We are looking for experienced Research Engineers to develop and optimise AI models, conduct cutting-edge research, and push the boundaries of AI and machine learning. Whether your expertise lies in AI model development, applied research, or production-level deployment, this role offers the opportunity to work at the forefront of generative AI innovation.

Key Responsibilities

• Develop and train large-scale generative models, pushing the boundaries of AI capabilities.

• Design and run experiments to explore and refine model architectures, analyze results, and implement data-driven improvements.

• Continuously innovate by developing and deploying new features that enhance user experiences.

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Requirements

• Proven experience in training large-scale generative models (e.g., image generation, audio synthesis, or large language models).

• Expertise in evaluating generative models, with a deep understanding of qualitative and quantitative metrics.

• Strong proficiency in PyTorch and familiarity with state-of-the-art neural network architectures.

• Hands-on experience building end-to-end machine learning pipelines, including data collection and pre-processing, model training and evaluation, inference serving.

• Strong software engineering skills, ability to design, implement and maintain high-quality code.

• English: B2+ (Upper-Intermediate or above), written and spoken.

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What We Offer

• Competitive salary and equity.

• Opportunities for professional growth and leadership.

• A collaborative, research-driven environment.

• The chance to work on cutting-edge AI projects that redefine creative workflows.

• The opportunity to contribute to open-source AI research and publications.

• Full-time, on-site role.

• We’re able to offer Skilled Worker visa sponsorship in the UK for qualified candidates.

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Mayflower is a technology company building highload products used by millions of people worldwide. Operating at the scale of one of the world's top-50 websites, we solve complex engineering challenges and create solutions that power real-time entertainment for a global audience.

Now we look for a Data Scientist to join our ML team

Job Responsibilities

• Search & Retrieval

  • Develop and improve retrieval pipelines for large-scale production search systems.

  • Work on candidate generation, query processing, matching, filtering, and retrieval strategies.

  • Improve search relevance, result coverage, and overall SERP quality.

  • Analyse failed searches, irrelevant results, zero-result queries, and other search-quality issues.

  • Explore lexical, semantic, behavioural, hybrid, and vector search approaches.

• Ranking & Relevance

  • Build, train, and optimise ranking models for search and recommendation systems.

  • Develop learning-to-rank solutions using behavioural, content-based, contextual, and real-time features.

  • Design ranking features based on clicks, conversions, popularity, freshness, availability, and user behaviour.

  • Evaluate ranking quality using Precision, Recall, NDCG, MAP, MRR, and related relevance metrics.

  • Optimise models for low-latency inference and investigate relevance degradation, bias, and feedback loops.

• Recommendation Systems

  • Develop recommendation models and candidate-generation strategies for personalised and non-personalised scenarios.

  • Build recall and ranking stages for multi-stage recommendation pipelines.

  • Work on related-item, complementary-item, next-action, and behavioural recommendation use cases.

  • Develop user, item, session, and contextual representations.

  • Balance relevance, diversity, novelty, coverage, and business constraints.

• Experimentation & Evaluation

  • Design and run offline and online experiments for search, ranking, and recommendation improvements.

  • Build evaluation frameworks that connect model quality with product and business outcomes.

  • Design and analyse A/B tests using CTR, conversion, engagement, retention, and revenue-related metrics.

  • Create reproducible pipelines for data preparation, model training, evaluation, and comparison.

  • Evaluate model robustness across traffic segments, query groups, user cohorts, and edge cases.

• ML Pipelines & Collaboration

  • Build end-to-end ML pipelines for feature generation, training, validation, deployment, and monitoring.

  • Work with high-load, real-time, and low-latency production systems.

  • Process large datasets using Python, SQL, batch pipelines, streaming systems, and Kafka.

  • Collaborate with product, backend, data engineering, and MLOps teams to productionise ML solutions.

  • Communicate technical decisions, experiment results, and trade-offs while contributing to ML best practices.

You’ll thrive here if you have

• Strong hands-on experience building production search, ranking, or recommendation systems.

• Strong Python and SQL skills for machine learning, data processing, and analytical queries.

• Practical experience with learning-to-rank, candidate retrieval, search relevance, or recommender-system modelling.

• Experience building and evaluating multi-stage retrieval and ranking pipelines.

• Strong understanding of search and recommendation metrics, including Precision, Recall, NDCG, MAP, MRR, CTR, and conversion.

• Experience with feature engineering and behavioural data such as impressions, clicks, sessions, and conversions.

• Experience with ML libraries such as scikit-learn, XGBoost, LightGBM, CatBoost, PyTorch, or TensorFlow.

• Experience working with large-scale production systems, distributed data processing, analytical databases, and streaming platforms.

• Strong understanding of experimentation and A/B testing, with the ability to independently build, and validate ML solutions.

That can be a plus:

• Experience with Elasticsearch, OpenSearch, Solr, Lucene, or another search-engine stack.

• Experience with vector databases, approximate nearest neighbour search, and hybrid lexical-semantic retrieval.

• Experience with query understanding, classification, spell correction, synonyms, or query expansion.

• Experience with DSSM, two-tower models, BERT-based ranking, cross-encoders, or similar neural architectures.

• Experience with large-scale data and ML platforms such as Airflow, MLflow

Conditions

We know that great talent deserves great conditions, so here's what you can expect when joining us:

• EU-based employment contract and a 3-year Cyprus work visa with full support for your relocation and visa processes, including assistance for your family.

• Full relocation package: flights to Limassol for you and your family, a company-covered apartment for the first month, and full relocation support to make your move smooth and hassle-free.

• Transparent performance reviews twice a year, with bonus opportunities and salary adjustments.

• Private medical insurance for you and your family, a corporate mobile plan (unlimited in Cyprus with roaming included), and interest-free support for car purchases.

• Provident fund (Cypus): a long-term savings plan co-funded by you and the Company together (available after probation) that grows throughout your time with us in Cyprus.

• Mindfulness & well-being support, including psychological assistance with 50% coverage.

• 50% coverage of school and kindergarten fees for your children.

• Fully covered sports benefits, and also access to in-house electric scooters and bike rentals, and cycling purchase compensation.

• Investment in your growth: paid language courses and access to suited-for-you development programs, including conferences, training programs, and coaching to support your professional journey.

• A culture of recognition: a peer reward program to celebrate your contributions.

• A fully equipped office in Limassol’s city center, with everything you need for deep work and collaboration.

• Free catering in the office and an in-house coffee bar with high-quality drinks and a health bar stocked with nutritious snacks.

• A strong engineering culture: international teams, corporate events, team buildings, and hackathons—because great work happens in great communities.

Recruitment process

• HR interview (40 min);

• Technical interview (1.5 hour);

• Final interview (45 min).