Вакансии

Ищем ML Engineer для развития ML-части e-commerce поиска: vector search, reranking, query understanding и ranking на основе click/conversion signals.

Точечный поиск (Executive Search): Прямой хантинг и привлечение топовых лидеров на ключевые позиции. - Опыт в подборе от 3х лет + подтвержденный трек-рекорд в Executive Search.

Location: Remote Workplace: Remote ABOUT US Launched in 2019, Constructor is an AI-first e-commerce search and discovery platform that helps shoppers find the right products at the right time and enables leading global e-commerce brands to drive meaningful revenue and conversion gains. ABOUT THE TEAM The SABR team owns the top layer of request processing for product discovery. We own the service that first receives product discovery requests (autocomplete, search, browse & recommendations) & executes the entire business logic that drives product discovery. That service also functions as a gateway to parse incoming user requests, orchestrate calls across the internal services that do the ranking and retrieval, interpret their responses, and assemble the final response the customer sees. We also own the public configuration APIs customers use to control how discovery behaves, and the MCP layer that exposes all of it to AI agents. Our team owns both platform & product components: Because of the positioning of our services, we take part in every architectural decision of our core product offering. At the same time, our goals are heavily influenced by direct customer feedback, because all product discovery-related features are either implemented in or integrated with our services. All of our services are public APIs, so interface design and backward compatibility are a constant part of the job. But most of our attention goes to keeping them fast and up: we serve up to 15k RPS, fan out to many internal services on every request, and are expected to stay available and degrade gracefully when any of them fails or slows down. The work is distributed systems in practice rather than in theory: request orchestration, failure isolation, caching, latency budgets, capacity planning, and the observability to know what is actually happening in production. The team is small enough that engineers own problems end to end, from design through on-call. ABOUT YOU You're a staff-level engineer who wants to own systems, not tickets. You've built high-traffic, low-latency Python services and carried the pager for them. You think in trade-offs: latency versus cost, flexibility versus a public API that customers can't afford to see break, the fix that ships this week versus the architecture that has to last two years. You can lead work that spans several engineers and several quarters, you enjoy mentoring others, and you're fine when a problem shows up half-defined. You don't mind being the one who reads the spec for some unfamiliar protocol, works out how it fits, and designs an integration that holds up at scale. You change your mind when someone has a better argument, you make the people around you better, and you still care about your code long after it merges. WHAT YOU WILL DO - Own the technical direction of one or more of our services - architecture, performance, and reliability. - Lead design of new systems and public APIs, and the evolution of existing ones as traffic and feature scope grow. - Raise the engineering bar through design and code review, and mentor mid and senior engineers into owning bigger scopes. - Partner with product, other engineering teams, and solutions/support to shape what we build and to represent search constraints and trade-offs honestly. - Take part in on-call for the systems you own, and lead incident response and follow-through when things break. WHAT WE ARE LOOKING FOR TECHNICAL - Substantial experience building and operating high-traffic, low-latency backend services in production. - Extensive Python knowledge (our primary language). - Experience with observability and performance work in live systems. - Experience designing and evolving public APIs that external customers depend on. - Experience designing & implementing scalable service-oriented architectures. BEYOND THE CODE - Track record of leading projects that span multiple engineers and quarters. - Influence without authority, and willingness to change your position when someone has a better argument. - Clear written communication - design docs, RFCs, postmortems. - Good judgment about trade-offs and scope. - Comfort with ambiguity and loosely defined problems. - Ownership that extends past merge, to how the system behaves in production. NICE TO HAVE - Experience with AWS - Background in search, ranking, information retrieval, or e-commerce product discovery. - Exposure to AI/LLM-facing infrastructure (MCP, agent tooling, or similar). BENEFITS 🏝️ Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year 🌎 Fully remote team - choose where you live 🛋️ 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 🧠 Work with smart people who will help you grow and make a meaningful impact 💵 Base salary: $110k–$130k USD, depending on knowledge, skills, experience, and interview results 📈 Stock options - offered in addition to the base salary 🎉 Regular team offsites to connect and collaborate DIVERSITY, EQUITY, AND INCLUSION AT CONSTRUCTOR At Constructor.io http://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. How we handle your data. By submitting this application, you acknowledge that Constructor will collect and process the personal data you provide for the purpose of evaluating your candidacy for this role. If you are not selected, we will retain your data for a limited period as described in our Recruitment Privacy Notice. After that period your data will be deleted or anonymized. How we handle your data. By submitting this application, you acknowledge that Constructor will collect and process the personal data you provide for the purpose of evaluating your candidacy for this role. If you are not selected, we will retain your data for a limited period as described in our Recruitment Privacy Notice https://constructor.com/recruitment-privacy-notice. After that period your data will be deleted or anonymized.

Location: Belgrade; London; Berlin Workplace: Hybrid The internet is vast, containing trillions of URLs. Perplexity’s crawling and storage system is complex and has multiple stages (URL discovery, crawling, parsing, indexing). Each stage offers many opportunities for improvement and room for intricate bugs. You’ll work at the intersection of data analysis and engineering — designing metrics, building data pipelines, and improving the quality of our search and answer systems. Responsibilities - Find and diagnose quality issues in our crawling pipeline - Train small models that optimize particular aspects of the pipeline (e.g. parsing quality) - Build datasets for model training, including LLM-as-a-judge labeling pipelines - Improve page selection algorithms for indexing - Design and analyze experiments to validate improvements Qualifications - 4+ years of experience as a data analyst, ML engineer, or in a related role - Strong coding skills: you should be able to write production-grade code at the level of a mid-level backend engineer - Experience designing metrics from scratch - Experience training ML models that shipped to production with measurable metric improvements Nice to have - Direct experience working on web crawling or indexing pipelines

Location: Israel About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. About Tavily In a rapidly evolving world, trust in AI depends on AI agents being grounded in fresh, verified real-world data. Search is the foundation that makes this possible. Tavily provides the search and intelligence layer that powers AI agents and retrieval systems with trustworthy, real-time information. We work with some of the most innovative teams in AI, from fast-growing startups to global enterprises, helping them build agents that are not only intelligent but informed. About the Role We're looking for a Senior Product Analyst to drive product decisions with data. You'll research how developers and companies discover, adopt and get value from Tavily and find the drivers behind them . You'll work as a thought partner to Product, R&D and leadership and shape what we build next and why. This is a senior, high-ownership role. You take a question from start to finish: you frame the problem, build the data you need, run the analysis or model, and come back with a clear recommendation. You are expected to understand the need and show people results they didn't even knew they wanted or needed and be an integrational part in decision making. You'll work closely with the analysts on the team and with Product, Engineering, Growth and GTM. What You'll Do • Own product analytics end-to-end: define, instrument and measure the product funnel, from first API call through activation, feature adoption, retention and conversion to paid. • Drive product decisions: work with PMs and R&D leads to set success metrics, size opportunities, prioritize the roadmap, and measure the impact of what we ship. • Uncover the drivers behind top-level KPIs: which behaviors, use cases, endpoints and product experiences predict activation, retention and expansion. • Design, run and evaluate experiments (A/B tests, onboarding flows, pricing and packaging changes) and apply advanced statistical models when needed. • Build the data you need: model raw product, usage and billing data into trusted, reusable datasets with SQL, dbt and Python and more. • Apply predictive and statistical modeling (segmentation, propensity, forecasting, classification and clustering) where it sharpens product decisions. • Proactively monitor key product metrics, investigate trends and anomalies, and surface insights stakeholders can act on. • Set the standard for how we measure product success: metric definitions, a shared source of truth and analytical rigor across teams. What We're Looking For • 5+ years of experience as a Product Analyst, Data Analyst or Data Scientist, including at least 2 years in a product-facing role. • 2+ years in a SaaS or tech product company, with deep understanding of funnels, cohorts, engagement, retention and monetization. • A proven record of driving product decisions through data: you've shaped roadmaps, launches or strategy, not just reported on them. • Comfort working with large, messy, event-level datasets. • Strong hands-on experience using Python for data analysis, experimentation and data modeling in a production environment. • Strong statistical foundations. • Demonstrated ability to influence business strategy through data and drive alignment across cross-functional stakeholders, including executive leadership. • Strong communication: you can turn complex analysis into a clear, compelling story and a concrete recommendation. • Experience with modern data tooling (Snowflake/BigQuery, dbt, Airflow, and BI tools like Omni/Looker/Tableau). • BSc in Statistics / Math / CS / Industrial Engineering or equivalent. Nice to Have • Experience at an API-first, developer-focused or PLG company. • Hands-on experience building and deploying ML models. • Familiarity with LLMs / AI tooling, and using AI agents to speed up your own analytical work. • Evidence that you build things on your own: a GitHub profile, portfolio, side projects or publications. • MSc in Statistics / Math / CS or equivalent. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Location: AU: Melbourne: (260 Burwood Rd); AU: Sydney (45 Clarence St); AU: Canberra (68 Northbourne Avenue); AU: Brisbane (243 Edward St) Workplace: Hybrid Engineer, Search   The role & impact As an Engineer on our Search team, you’ll own the infrastructure, CI/CD and data pipelines that keep one of the largest search clusters in the southern hemisphere healthy and growing. You’ll design and run the infrastructure automation and Terraform that underpin the cluster, build pipelines that move and index data at scale, and keep the platform fast, resilient and cost effective as demand grows. You’ll Go Bold by leading design decisions on scaling, reliability and capacity for a system holding hundreds of terabytes. In your first 90 days, you’ll get up to speed on the cluster, the team and our platform rebuild, then start reviewing pull requests and making your first meaningful changes. Within 12 months, you’ll Go Further by owning a major project, contributing across both search and generalist work, and helping to shape how the team works. The team & how they connect Our Search team looks after one of the largest search clusters in the southern hemisphere, indexing more than 50 million documents a day, for around 200,000 daily active users at 99.9% uptime. We’re rebuilding and expanding the platform for Xero’s next stage of growth, working closely with the streaming data team, our product manager and Catalyst to plan and release changes safely. We’re remote-first across Melbourne, New South Wales and New Zealand, and we get together in Melbourne roughly every six months. The team is currently working on - Tech stack: Github Actions and Terraform for infrastructure as code, with large-scale data pipelines feeding our search indexes. - Current project: Rebuilding and expanding the search platform, including ingestion for our new platform alongside the streaming data team. - Current project: Keeping the cluster highly available, owning monitoring, alerting and incident response to protect our 99.9% uptime. - Future project: Owning and shaping a major platform project within your first year, spanning both search and generalist work. Where and how you can work This is a permanent, remote-first role across Melbourne, New South Wales and New Zealand, so you can work from wherever you’re based. We get together in Melbourne roughly every six months, giving you time to connect with the team in person. Here are some of the things we are looking for - You bring your experience running production infrastructure in the cloud, with hands-on skills in Github Actions and Terraform. - You’ve designed and operated infrastructure pipelines that support complex platform scale environments and know how to keep them reliable under heavy demand. - Solid software engineering skills and a high-quality mindset sit at the heart of how you work. - Search or information retrieval experience, or a clear path to applying it, will help you hit the ground running. - You communicate clearly, work well across remote teams and can explain trade-offs to people outside engineering. Apply even if your experience isn’t a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.

• Разработка логики исполнения поисковых запросов. Вам предстоит проектировать общий механизм исполнения запросов, который устроен как граф стадий.

Location: Belgrade; London; Berlin Workplace: Hybrid Perplexity is seeking an experienced Machine Learning Engineer to advance how AI systems search, reason, and work together to solve complex problems. Our work spans search and retrieval, LLM post-training, multi-agent training, and the harnesses that make these systems effective. We control the full stack: the models, the agent harnesses, and the search infrastructure underneath. That gives us the freedom to develop new approaches across all three training models to use search more effectively, designing tools and execution environments around learned behavior, and improving retrieval to support how agents actually work. RESPONSIBILITIES - Push search and agent quality forward through improvements to models, training data, tools, and system design. - Develop LLM post-training methods, including reinforcement learning, to improve reasoning, search, tool use, and task completion. - Train and evaluate multi-agent systems, exploring how agents divide work, share information, and coordinate effectively. - Design and build agent harnesses around the tools, context management, execution environments, and orchestration that support reliable work over many steps. - Improve retrieval and ranking models and the search interfaces agents use to find and assess information. - Build datasets, reward signals, and evaluations that expose meaningful failures and guide improvements. - Own experiments end to end, from a clear hypothesis to scalable training, deployment, and measurable gains in quality, latency, and cost. - Collaborate with AI, Search, Infrastructure, Data, and Product teams to bring new capabilities into production. QUALIFICATIONS - A strong track record of building and shipping ML systems, with deep experience in one or more of LLM post-training, reinforcement learning, search and retrieval, or agent systems. - Strong software engineering skills and the ability to work across model training, experimentation infrastructure, and production systems. - Experience designing rigorous evaluations, diagnosing failures, and translating experimental results into practical improvements. - Comfort with open-ended problems that require both research judgment and hands-on engineering. - A strong sense of ownership, curiosity, and the drive to carry an idea through to a working system. NICE TO HAVE - Experience with training models to use tools or complete tasks over many steps. - Multi-agent training, coordination, or evaluation. - Building agent harnesses, distributed training systems, or scalable inference infrastructure. - Large-scale retrieval, ranking, or recommendation systems.

Location: Berlin Workplace: OnSite ABOUT PEEC AI Peec AI is the analytics platform for AI search. People increasingly discover products and make buying decisions through ChatGPT, Claude, Gemini, and Google's AI Overviews instead of traditional search, and most brands have no idea where they show up in those answers. Peec gives marketing, SEO, and growth teams the data to see exactly that: how visible their brand is across AI platforms, how they compare to competitors, and where to win. We are defining this category, and the market is moving with us. Peec is a Series A company backed by 20VC and Singular, that went from $0 to $15M ARR in 18 months, with a 100+ person team across our Berlin HQ and our New York office. ABOUT THE ROLE We’re looking for an AI Search Strategist to help our customers succeed in the new era of AI-driven search. In this role, you’ll work closely with leading brands and agencies, onboarding new clients and advising them on how to improve their visibility across search engines, AI assistants, and emerging generative surfaces. You’ll combine deep SEO expertise with a consultative approach, analyzing websites and search performance, running strategic advisory sessions, and translating business goals into actionable organic growth strategies. Working closely with Sales, Growth, and Product, you’ll also help shape how we enable customers and define best practices for succeeding in AI-powered search. WHAT YOU’LL DO - Onboard and activate new key clients, and educate them on how to best leverage Peec AI to become top-ranked in AI search - Review websites, content, and search performance of key clients to identify AI-search-related opportunities across platforms (search, AI assistants, and emerging generative surfaces) - Run advisory sessions with leading brands and agencies, turning their growth and brand goals into actionable GEO strategies and roadmaps - Collaborate closely with Sales, Growth, and Product to refine activation journeys, case studies, and customer enablement programs - Consult our mid-sized and enterprise clients on GEO-related topics, from overall strategy to hands-on operational execution WHAT WE’RE LOOKING FOR - 3–5 years of hands-on SEO or organic growth experience, ideally at a top-tier SEO agency - Deep understanding of technical SEO, content strategy, search intent, and how organic performance translates into business outcomes - Strong consulting skills: you’re used to advising clients, presenting strategic recommendations, and constructively challenging their thinking - Ability to explain SEO concepts in simple, actionable language for marketing and brand teams - Excitement about the shift from “10 blue links” to generative search, and motivation to be at the frontier of that change - Confident verbal and written communication skills in English for high-quality client calls, workshops, and written recommendations BONUS POINTS - Experience building frameworks: SEO playbooks, content strategies, or measurement models for clients - Initial experience with AI search - Background working with enterprise and other high-touch clients - Experience in a high-growth, venture-backed SaaS or marketing tech environment - Confident verbal and written communication skills in German for high-quality client calls, workshops, and written recommendations   WHAT WE OFFER - Exciting and challenging work with real impact and ownership at one of Europe’s fastest-growing Series A startups - Regular team events and offsites - Competitive salary and meaningful equity: everyone at Peec owns a piece of the upside - Paid Meal and Uber rides home when working late - One of the most beautiful office spaces and work environments in Berlin

Location: US - Hybrid - Massachusetts - Boston, US - Headquarters - Maryland - Columbia Who is Tenable? Tenable® is the Exposure Management company. Over 40,000 organizations around the globe rely on Tenable to understand and reduce cyber risk. Our global employees support 65 percent of the Fortune 500, 50 percent of the Global 2000, and large government agencies. Come be part of our journey! What makes Tenable such a great place to work? Ask a member of our team and they’ll answer, “Our people!” We work together to build and innovate best-in-class cybersecurity solutions for our customers; all while creating a culture of belonging, respect, and excellence where we can be our best selves. When you’re part of our #OneTenable team, you can expect to partner with some of the most talented and passionate people in the industry, and have the support and resources you need to do work that truly matters. We deliver results that exceed expectations and we win together! Applicants must be authorized to work for any employer in the U.S. without sponsorship. We are unable to provide sponsorship for work visas of any kind at the time of hire, or at any point during employment. This includes, but is not limited to: F1-OPT, F1-CPT, H-1B, TN, J-1, etc Your Role: We are seeking an expert, data-driven Manager, Integrated Search & Google Media to own our paid search and Google media ecosystem while managing essential SEO and GEO strategies. In this role, you will also drive the strategy and execution across Google Ads, Bing Ads, YouTube and YouTube TV ads, and broader Google advertising properties. As our primary Paid Search authority, you live and breathe Google Ads, master modern AI-driven campaign structures (Performance Max, Smart Bidding, AI creatives), and stay at the forefront of search evolution. You bring a deeply curious, proactive personality and a passion for experimentation - constantly testing new ideas, interrogating performance data, and willing to try bold new approaches to stay ahead of trends. In addition to scaling our paid search and improving our ROI, you will manage critical SEO/GEO initiatives with direction and guidance from our Senior Manager, SEO/GEO and partner closely with our Performance Marketing Theater Leads - translating theater-based goals into execution-ready search strategies to generate awareness, create and capture demand that turns into pipeline, and holding accountability for regional numbers. Your Opportunity: Paid Search, Bing and Google Ecosystem End-to-End Media Management: Own the strategy, launch, optimization, and scaling of high-ROI performance campaigns across Google Search, Bing Ads, YouTube and YouTube TV ads, and Google Display/Discovery. AI & Platform Innovation: Master advanced ad features (Smart Bidding, auto-generated assets, AI bidding algorithms) to continually scale performance and improve audience targeting. Theater Collaboration & Numbers Accountability: Partner hand-in-hand with Performance Marketing Theater Leads to understand regional goals, revenue targets, and market considerations. Deliver actionable paid search strategies that generate pipeline and directly meet theater targets. Paid Search Experimentation & Optimization: Lead end-to-end campaign and post-click experimentation across paid search. Build structured testing frameworks to optimize ad performance, landing page experiences, and alternative lead capture mechanisms - driving continuous improvement in message alignment and conversion. Technical SEO & GEO Technical SEO & Metadata Management: Perform ongoing technical SEO optimizations, site audit reporting and prioritization, meta tag creation, and optimization to ensure high crawlability, indexability, and keyword alignment. Integrated Search Strategy, Analytics & Reporting Incremental Lift & Shared Reporting: Partner with Senior Manager, SEO/GEO on incremental lift analysis and reporting (Paid + Organic) to prove total search performance, identify cannibalization risks, and maximize incremental pipeline. Keyword & Competitive Intelligence: Conduct regular keyword tracking, reporting, and competitive insights analysis to map competitor SERP dominance, keyword gaps, and prompt share across both paid and organic environments. Tracking & Data Quality: Perform continuous UTM and URL cleanup/optimization across paid landing pages, organic pages, and tracking scripts to guarantee clean attribution, accurate reporting, and frictionless landing page experiences. What You'll Need: 5+ Years of Hands-On Experience: Proven track record managing complex, multi-region paid search and video budgets across Google Ads, Bing Ads, YouTube and YouTube TV ads. Google Ads / AdWords Mastery: Expert-level fluency across the Google Ads platform- Search, Video, PMax, Audience targeting, and automated bid management. Hands-On Technical SEO & GEO Capabilities: Demonstrated ability to perform technical site audits, meta tag optimizations, keyword tracking, and modern GEO/Prompt tracking across AI search platforms. Theater/Regional Business Alignment: Experience working directly with regional theater or growth leads to turn market-specific targets into conversion-driven campaign tactics with direct revenue accountability. Analytics & Attribution Expertise: Advanced skills in GA4, Google Tag Manager, dashboard tools (Looker Studio, Tableau), and multi-touch attribution modeling. AI-Forward Search Mindset: Strong understanding of how search behavior is shifting toward generative AI and how to leverage modern AI tools to accelerate copy generation, landing page strategies, and performance insights. Able to work in a hybrid/on-site capacity at our office in Columbia MD or Boston MA. This position is US-based only. May perform other duties and responsibilities that management may deem necessary from time to time. And Ideally: Google Ads Certifications (Search, Video, Display) & GA4 Certification. Experience with SEO/GEO monitoring software (e.g., SEMrush, Conductor, Amplitude). Experience working in global B2B performance marketing environments with matrixed theater structures. #LI-Hybrid #LI-MM1 This is the base pay range for this position. Compensation for the role will depend on a number of factors, including the candidate's qualifications, skills, competencies, location and experience, and may fall outside of the range shown. Employees are also eligible for variable compensation in addition to base pay (commission for sales roles, bonus for non-sales roles), depending on company and individual performance. Tenable also offers a variety of comprehensive and competitive benefits which include: medical, dental, vision, disability and life insurance; 401(k) retirement savings with company match; an employee stock purchase plan; an employee referral program; flexible spending accounts; an Employee Assistance Program (EAP); education assistance; parental leave; paid time off (PTO); company-paid holidays; health and wellness events; and community programs. US Pay Range $92,500 — $123,166.67 USD We’re committed to promoting Equal Employment Opportunity (EEO) at Tenable - through all equal employment opportunity laws and regulations at the international, federal, state and local levels.  If you need a reasonable accommodation due to a disability during the application or recruiting process, please contact Recruiting@Tenable.com for further assistance. Tenable Data Consent Statement Tenable is committed to protecting the privacy and security of your personal data. Depending on your location, one or more of the following notices may apply to you: General Applicant Privacy Notice California Applicant Privacy Notice EU/EEA/UK Applicant Privacy Notice

Задачи: — точечный поиск и «хантинг» редчайших специалистов (Executive Search). — глубокое интервьюирование кандидатов топового звена (Оценка). — полное сопровождение кандидата и координация всех этапов найма (Партнерство). — ведение отчетности и этапов работы в CRM (E-staff). Требования: — опыт в кадровом агентстве от 2 лет, понимание специфики агентского бизнеса и умение работать в высоком темпе. — владение инструментами Executive Search и готовность решать сложные задачи. Условия: — фиксированный оклад 50 000 руб. — высокий доход без «потолка», средний доход рекрутеров — 300 000 руб. — локация: офис в Москва-Сити (Башня Федерация). — график: 5 дней в офисе. — карьерный лифт: возможность при выполнении KPI возглавить собственную группу рекрутеров.

Задачи: — Участие в разработке и улучшении рекомендательных систем, включая user-item, item-item и кросс-платформенные рекомендации. — Оптимизация рекомендаций на страницах категорий, каналов и тегов. — Создание поиска по видео на основе текста: модели встраивания, ранжирование и семантический поиск. — Перевод ML-прототипов в продакшн-сервисы: оптимизация инференса, профилирование, подготовка признаков и контроль качества моделей. — Разработка высоконагруженных ML-сервисов на Python, включая сервисы на базе gRPC/Triton. Требования: — Опыт работы 2+ года с рекомендательными системами, поиском или смежными ML-задачами. — Глубокие знания Python и ML-фреймворков, таких как PyTorch, CatBoost и др. — Опыт деплоя моделей в продакшн. — Понимание принципов офлайн и онлайн оценки моделей. Условия: — Работа над ML-продуктом с миллионами пользователей и реальными метриками. — Компактная команда с возможностью влиять на продукт и развиваться в нескольких областях. — Опытные коллеги для обсуждения идей и совместного запуска новых проектов. — Простая структура, минимум бюрократии, максимальная ответственность. — Пакет льгот: медицинская страховка, компенсация налогов, профессиональное обучение, рабочее оборудование, языковые курсы. — Релокация на Кипр: поддержка визы, покрытие расходов на переезд, билеты и первый месяц проживания. — Гибкий график, комфортная атмосфера и поддержка команды. — Зарплата от 4000 евро нетто в месяц, окончательный уровень зависит от опыта, навыков и соответствия требованиям.

Location: Tel Aviv, Israel About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. We are looking for a Senior Software Engineer to work on the core search application powering our agentic search platform. In this role, you will build and operate a high-scale, latency-sensitive API that sits at the center of the search request flow. The system orchestrates multiple retrieval capabilities, ranking components, and downstream services to serve thousands of search requests per second while balancing search quality, latency, reliability, and infrastructure cost. In this position, your responsibility will be to Design, implement, and operate core backend components of a search orchestration system, spanning online services and background data pipelines. Build well-tested services and pipelines with clear responsibilities and interaction contracts, while remaining flexible as the system evolves Define and implement observability primitives, including structured logs, metrics, traces, and quality signals for both online and offline components Support experimentation and iteration by enabling feature flags, controlled rollouts, and online experiments Track throughput, latency, and resource usage across the system, and improve performance or cost efficiency when business needs require it Collaborate closely with ML engineers to integrate search quality improvements to the system, while keeping ML logic decoupled from core system internals Monitor resource usage, bandwidth consumption, and infrastructure cost Work with data analysts and product managers to translate product and quality goals into concrete backend behavior and measurable metrics You may be a good fit if you: 5+ years of experience building product critical backend services Strong Go and Python Experience Experience with large-scale distributed systems (5k+ RPS, billions of events, high-throughput pipelines) Understanding of Information Retrieval flows and pipelines Experience operating production systems and debugging failures in distributed environments Strong understanding of scalability, fault tolerance, and resource management Are interested in either a strong senior IC role or a role with significant technical leadership and ownership. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

Задачи: – проводить технический и коммерческий аудит сайта; – собирать и кластеризовать семантическое ядро, оптимизировать структуру B2B-каталога и внутреннюю перелинковку; – создавать и оптимизировать посадочные страницы, карточки номенклатуры, статьи, FAQ и технические таблицы; – вносить правки на сайте: метатеги, контент, базовый HTML/CSS, формы и CTA-элементы; – применять ИИ-инструменты для ускорения генерации ТЗ, текстов и анализа выдачи; – вести аналитику, готовить регулярную отчетность и контролировать внедрение доработок. Требования: – опыт в SEO от 2 лет строго в сегменте B2B, промышленности, оборудования или сложной техники (опыт только в классическом e-commerce не подойдет); – уверенное владение профессиональным софтом: Яндекс.Вебмастер, Google Search Console, Яндекс.Метрика, GA4, Key Collector, Screaming Frog, Ahrefs/Serpstat; – понимание технического SEO, базовые знания HTML/CSS и опыт работы с CMS (MODX будет плюсом); – опыт оптимизации под нейровыдачу и GEO (AI Search / Generative Engine Optimization) будет преимуществом; – самостоятельность, системность и готовность работать руками. Условия: – полностью удаленный формат работы; – уровень вознаграждения обсуждается индивидуально с успешным кандидатом; – стабильная компания в реальном секторе B2B с многолетней историей; – график 5/2 с 08:15 - 17:15 мск (фуллтайм); – оклад + KPI-бонус, выплаты дважды в месяц; – доступ к сайту, аналитике, CMS и необходимым рабочим инструментам; – поддержка по продуктовой экспертизе со стороны компании; – возможность работать со сложным промышленным B2B-проектом, где результат SEO влияет на реальные коммерческие запросы; – в дальнейшем возможна дополнительная мотивация за качественные входящие лиды и продажи по органическому трафику. Ключевые обязанности: – проведение технического и коммерческого SEO-аудита сайта; – разработка и реализация SEO- и AI Search / GEO-стратегии; – продвижение ключевых продуктовых направлений; – разработка и поддержание структуры сайта и каталога; – формирование, кластеризация и обновление семантического ядра под B2B-запросы; – выстраивание внутренней перелинковки между материалами, формами поставки, изделиями, применениями и отраслями; – техническая оптимизация сайта: индексация, sitemap, robots.txt, canonical, 404/301/302, дубли, title, description, H1-H3, скорость загрузки; – создание и оптимизация карточек продуктов, посадочных страниц, статей и базы знаний; – подготовка структуры SEO/GEO-страниц: таблицы, FAQ, краткие ответы, применения, аналоги, формы поставки, CTA и тд; – самостоятельное внесение базовых правок на сайте: тексты, заголовки, метатеги, таблицы, FAQ, внутренние ссылки, изображения, CTA-блоки; – использование ИИ-инструментов для анализа выдачи, кластеризации, структуры страниц, черновиков контента, проверки ошибок и подготовки ТЗ; – постановка задач и реализация по техническим доработкам и контроль внедрения в случае аутсорса; – анализ индексации, позиций, трафика, заявок и качества входящих обращений; – подготовка коротких регулярных отчётов: что сделано, что внедрено, что растёт, что мешает. Дополнительно: – опыт продвижения сайтов в металлургии, машиностроении, промышленном оборудовании, химии или смежных B2B-нишах будет плюсом; – опыт работы с MODX или похожими CMS; – понимание AI Search / GEO / AEO; – навыки аккуратной правки HTML/CSS с помощью ИИ-инструментов; – опыт создания структуры каталогов, карточек товаров и посадочных страниц для сложных B2B-продуктов.

Задачи: — технический и коммерческий SEO-аудит; — семантика, кластеризация, структура каталога, перелинковка; — создание/оптимизация карточек, посадочных, статей, FAQ, таблиц; — правки на сайте (тексты, метатеги, HTML/CSS, CTA); — использование ИИ для анализа, контента, ТЗ; — аналитика, отчёты, контроль внедрения. Требования: — опыт SEO от 2 лет, только B2B/промышленность/техника (e-commerce и тп не подходят); — уверенное владение: Яндекс.Вебмастер, GSC, Метрика, GA4, Key Collector, Ahrefs/Serpstat/Screaming Frog; — понимание технического SEO и CMS (MODX); — базовый HTML/CSS; — опыт с AI Search/GEO — плюс; — самостоятельность, hands-on. Условия: — условия обсуждаются индивидуально; — формат работы: удалённо (фуллтайм / проектная занятость).

Location: United States Workplace: Remote About Cantina: Cantina Labs is a social AI company, developing a suite of advanced real-time models that push the boundaries of expression, personality, and realism. We bring characters to life, transforming how people tell stories, connect, and create. We build and power ecosystems. Cantina, our flagship social AI platform, is just the beginning. If you're excited about the potential AI has to shape human creativity and social interactions, join us in building the future! About the Role: Cantina is a place where people create AI characters and the videos those characters star in, and the catalog grows far faster than anyone can browse. Search and recommendations are what turn that catalog into a product: they decide which characters a new user meets in their first minute, which creators get discovered, and what appears in every feed, leaderboard, and discovery surface we ship. We are hiring a Senior Staff Software Engineer to own that area end to end — retrieval, ranking, relevance quality, and the roadmap for all three. This is the first dedicated hire for search and recommendations, so you will inherit a real production system serving live traffic along with a large amount of unclaimed ground, and you will set the technical direction rather than execute someone else’s. What you'll do: - Own the architecture and roadmap for search and recommendations end to end — query understanding, retrieval, ranking, and the surfaces they feed: search, discovery, the home feed, and our trending and creator leaderboards. - Make relevance a measured discipline rather than an opinion: define the quality metrics per surface, build the offline evaluation and golden-set tooling, and run the online experiments that decide whether a ranking change ships. - Design and evolve the ranking stack — engagement signal pipelines, decay and freshness models, and the pattern we use to combine pre-computed index-time signals with live re-ranking at query time. - Own OpenSearch in production: index and mapping design, reindex and cutover safety, query performance, cost, and the operational headroom of the clusters behind every discovery surface. - Build candidate generation and personalization for recommendation surfaces, and partner with data and ML on the feature pipelines and models behind them. - Work directly with Product and Trust & Safety on what “good” means for each surface — quality gates, cold-start behavior for brand-new creators and characters, and what must never be recommended. - Set the engineering standard for the area: instrumentation, flag-gated rollouts, and runbooks that let other teams change ranking behavior without breaking it. - Act as the technical point of contact for discovery across backend teams, and mentor the engineers whose work touches it. What you'll bring: - 10+ years building production software, with substantial depth in search, ranking, recommendations, or ML-driven relevance on a consumer-scale product. - Hands-on expertise with a production search engine — OpenSearch, Elasticsearch, Lucene, Vespa, or similar — covering index and analyzer design, relevance tuning, and operating the cluster, not only querying it. - A rigorous approach to relevance measurement: you have owned offline evaluation, golden sets, and A/B or interleaving frameworks, and you can explain what moved a metric and why. - Fluency across the recommender stack — candidate generation, feature pipelines, embedding retrieval, re-ranking — and a working understanding of the serving constraints that make an offline win fail online. - Strong distributed systems and backend fundamentals, with production experience in Go or a comparable systems language, and comfort in the data layer behind it (SQL warehouses, streaming and batch pipelines). - Demonstrated ownership of an ambiguous area: you have picked up something with no dedicated owner, decided what mattered, and can show the result. - Clear written communication and the judgment to work with Product on real tradeoffs between relevance, freshness, safety, and latency. - Preferred: experience with AI-generated or rapidly growing content catalogs, severe cold-start conditions, or ranking under trust-and-safety constraints. Compensation: The anticipated annual base salary range for this role is between $250,000 - $320,000 (USD). When determining compensation, a number of factors will be considered, including skills, experience, job scope, location, and competitive compensation market data.   Benefits: - Competitive salary and generous company equity - Medical, dental, and vision insurance – 99.99% of premiums covered by Cantina - 42 days of paid time off, including: - 15 PTO days - 10 sick days - 15 company holidays - 2 floating holidays - Generous parental leave & fertility support - 401(k) retirement savings plan - Lifestyle spending account – $500/month to use however you’d like - Complimentary lunch and snacks for in-office employees - One Medical membership, and more!

Location: Belgrade, Serbia; Tbilisi, Georgia; Bogota, Colombia Workplace: remote Responsibilities Execute and optimize paid search campaigns across various search engines, with a focus on Google Ads. Perform keyword research, create compelling ad copy, and optimize landing pages for better performance. Monitor campaign metrics and make data-driven adjustments to improve CTRs and conversions. Stay updated on industry trends and search engine algorithm changes to optimize campaign strategies. Prepare reports on campaign performance and provide insights and recommendations for improvement. Collaborate with the English-speaking Client Service team, ensuring effective communication, understanding client requirements, and addressing their needs and concerns. Job requirements Minimum of 2 years of hands-on experience in managing paid search campaigns, preferably with a focus on Google Ads. Strong knowledge of search engine marketing principles, best practices, and industry trends. Proficiency in Google Ads and Google Analytics. Analytical mindset with the ability to interpret and derive actionable insights from campaign data. Fluent English (B2+).

Location: Belgrade; London; Berlin Perplexity is seeking a DevOps engineer to join our small team in revolutionizing the way people search and interact with the internet. You will be responsible for leading the design, implementation, and scaling of the infrastructure, tooling and systems that support our Search feature. The ideal candidate should have experience in designing highly scalable infrastructure, building systems, tools and performing testing, monitoring, and maintenance. Our backend stack includes Python, Go, Rust, PostgreSQL, DynamoDB, Redis, and Kubernetes - built alongside dedicated in-house AI and search interfaces. Responsibilities: - Design and implement highly available, high-performance, and scalable systems. - Design and implement various tools for other engineers helping them with their day to day job. - Design and implement CI/CD and other workflows to enhance stability, robustness and speed of iteration. - Maintain and optimize key-value and relational databases. - Scale and load balance web server backends to meet rapidly changing needs. - Monitor systems and applications, proactively identifying and resolving reliability, scalability, or performance issues. - Develop monitoring tools, alerts, and dashboards to provide visibility into system health and performance. Qualifications: - Strong experience with cloud infrastructure built on AWS. - Proficient in database management and caching strategies. - Excellent problem-solving and troubleshooting skills, with the ability to analyze, debug, and resolve complex technical issues. - Experience working with containers (Docker, Kubernetes) and orchestration tools. - Excellent communication and collaboration skills. - Experience with Python and Terraform. - 3+ years of DevOps/SRE/System Administration experience.