Вакансии

• 3+ года production Rust (или low-latency C++ и уверенный Rust).

3+ года production Rust (или low-latency C++ и уверенный Rust). Уже строил торговые системы с низкими задержками (must have).

О ПРОЕКТЕ Мы создаем криптовалютную платформу с упором на экстремальную производительность. Сердце разработки находится в Ереване (25+ топ-инженеров). Мы работаем с In-memory computing без классических БД в критических узлах, чтобы обеспечить минимальную задержку (Low Latency) и строгую детерминированность. ВАШИ КЛЮЧЕВЫЕ ЗАДАЧИ — Core Development: Проектирование высокопроизводительных книг заявок в памяти (FIFO, бинарные деревья, lock-free структуры). — Matching Engine: Создание алгоритмов сопоставления ордеров (Limit, Market, IOC/FOK, Post-only). — Optimization: Минимизация GC и кэш-промахов, оптимизация структур данных под экстремальные нагрузки. — Reliability: Реализация механизмов восстановления системы (snapshots + delta logs) и обеспечение последовательности событий. — Connectivity: Работа с FIX-шлюзами и высокоскоростными WebSocket-каналами. ЧТО МЫ ЖДЕМ ОТ ВАС — Опыт: 5–7+ лет в разработке на .NET / C#. — Hard Skills: Глубокое понимание моделей памяти, конкурентного программирования, lock-free примитивов и детерминированных конечных автоматов. — Domain: Знание микроструктуры рынка и алгоритмов матчинга. Опыт в HFT, Forex или биржевых движках будет огромным плюсом. — Mindset: Командный игрок, готовый к плотному взаимодействию с инженерным ядром в Армении. ЧТО МЫ ПРЕДЛАГАЕМ — Relocation: Билеты, жилье на первый месяц и помощь с легализацией в Армении. — Hardware: Топовый корпоративный MacBook. — Finance: Оплата в USD/USDT/USDC. Официальное оформление или контракт. — Bonus: +50% к ставке за командные переработки в периоды релизов. Важное уточнение: нужны эксперты в системной логике бирж, а не разработчики смарт-контрактов.

Location: Budapest WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers and portfolio managers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people. The Role: WorldQuant is seeking exceptional C++ developers to join our front office development team to further enhance and build our next generation trading platforms. What You'll Do: Write low latency, high throughput C++ code Implement mission critical trading infrastructure Work with portfolio managers to implement new trading systems Adapt existing systems to our next generation trading platform What You'll Bring: A minimum of 2 years of writing high performance C++ Modern C++ knowledge (C++17/20, etc) C++ template meta programming knowledge Possess in-depth knowledge of network programming and distributed computing Strong knowledge of Unix/Linux fundamentals Strong understanding of data structures and algorithms Finance experience is a plus but not essential What We Offer: Competitive compensation package Core benefits include: premium private health insurance and life insurance with savings plan Support for every aspect of life through Employee Assistance Program and fully covered sick leave Strong culture of learning and development: training courses, library, guest speakers, share and learn events, global conferences Regular offsite team buildings, annual conferences and occasional global summits – opportunity to travel and connect with our local and global teams #LI-MH1 By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright © 2025 WorldQuant, LLC. All Rights Reserved. WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

Location: Foster City, CA Workplace: Hybrid Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. About the role:  We are seeking talented distributed systems engineers who are passionate about building innovative solutions for application deployment. Your mission will be to enhance the capabilities of Replit Infrastructure, optimize performance across global regions, and drive efficiency while delivering an exceptional user experience. If you have a strong foundation in software development, a deep understanding of cloud technologies, and a track record of delivering high-quality code, we want to hear from you.  In this role you will: - Expand Replit's cloud infrastructure offerings: Launch new cloud products to be used by Replit Agent to build complex apps. Collaborate with cross-functional teams to design and implement these features, empowering developers with a comprehensive suite of tools to build and deploy their applications efficiently. - Enhance reliability and scalability: Identify bottlenecks, optimize critical paths, and implement robust monitoring and alerting systems. Work closely with the SRE team to ensure high availability and minimal downtime. Enable our customers to seamlessly scale their applications to meet the demands of their growing user base. - Improve utilization of cloud infrastructure: Analyze our infrastructure costs and identify opportunities for optimization. Implement strategies to reduce cloud expenses without compromising performance or reliability. This could involve techniques such as resource provisioning, auto-scaling, cost-aware scheduling, and data lifecycle management. Your efforts will directly contribute to the financial efficiency of our cloud services. Required skills and experience: - Distributed systems: Track record of working with platform-as-a-service, distributed storage, or information retrieval systems. Experience in designing scalable architectures and optimizing systems for latency or cost.  - Problem-solving mindset: Ability to approach complex challenges pragmatically and devise effective solutions. You think radically but ship incrementally. - Self-directed and autonomous: Able to work independently, set priorities, and drive projects forward. You take ownership and initiative. - Versatility and flexibility: Able to wear multiple hats and tackle a wide range of challenges. You are comfortable working across different layers of the stack and adapting to the needs of the project. - Continuous learning and adaptability: Passionate about staying up-to-date with industry trends and expanding your skill set. You embrace change and adapt quickly. Nice to have: - Experience working on cloud infrastructure or platform products, particularly in the areas of application deployment, serverless computing, or container orchestration. - Familiarity with Google Cloud Platform (GCP) services and tools, such as GCE, GKE,, Cloud Run, or Cloud Storage. - Contributions to open-source projects related to cloud technologies, deployment frameworks, or developer tools. We love OSS! Tools + Tech Stack for this role - Golang, Rust This role may not be a fit if - You are a generalist backend engineer who hasn’t built scalable distributed systems. - You cannot take part in the oncall rotation of min 6 people. - You do not enjoy diving into Linux internals.  This is a full-time role that can be held from our Foster City, CA office. The hybrid role has an in-office requirement of Monday, Wednesday, and Friday. Full-Time Employee Benefits Include: 💰 Competitive Salary & Equity 💹 401(k) Program with a 4% match (US Only) ⚕️ Health, Dental, Vision and Life Insurance 🩼 Short Term and Long Term Disability 🚼 Paid Parental, Medical, Caregiver Leave 🏝 Flexible Time Off (FTO) + Holidays 🚗 Commuter Benefits (In-Office & US Only) 📱 Monthly Wellness Stipend 🧑‍💻 Autonomous Work Environment 🖥 In Office Set-Up Reimbursement (In-Office Only) 🚀 Quarterly Team Gatherings ☕ In Office Amenities (In-Office Only) Want to learn more about what we are up to? - Self-driving Company https://replit.com/blog/self-driving-company - Replit Agent at Scale https://replit.com/blog/evaluating-and-improving-agent-at-scale - AI Adoption https://replit.com/blog/ai-adoption - Build Open-Source Apps https://replit.com/build/open-source-app-builder   Interviewing + Culture at Replit - Operating Principles https://blog.replit.com/operating-principles - Reasons not to work at Replit https://blog.replit.com/reasons-not-to-join-replit To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.

Location: Anywhere; Europe, Middle East, Africa, Asia-Pacific (EMEA, APAC) Workplace: Remote ABOUT US Circle is building the world’s leading AI-powered, all-in-one platform for digital businesses. We make it possible for creators, coaches, educators, and businesses to bring together their audience with engaging discussions, live streams, events, chat, courses, and payments — all in one place, all under their own brand. We’re proud to be a fully remote company of around 270 (and growing!) team members from 30+ countries around the world. We seek exceptional individuals around the world, set them up to do the best work of their lives, and in turn, create a meaningful impact in their own lives. We don't track hours, but we do manage for high expectations very closely. We collaborate across time zones, are highly async, and like to document a lot. Twice a year, we bring the whole company together in beautiful places around the world for our company offsites. So far, we’ve hosted offsites in Turkey, Portugal, Mexico, Thailand, Colombia, Italy, Ireland, and more, with still more to come! Check out our Careers https://careers.circle.so/ page for more about working at Circle. ABOUT THE ROLE The AI Quality engineering team at Circle owns the foundation for measuring, diagnosing, and improving the quality of Circle's AI-powered features. This team focuses on building the infrastructure to measure, diagnose, and improve production AI systems, rather than ML research or model training. We're looking for a Lead Engineer to help us build out the evaluation frameworks, observability tooling, and diagnostic infrastructure that tell us whether our AI Agents are working well, where to improve them, and how to make them faster and more cost-efficient. This is a hands-on player-coach role. You’ll also lead and manage the AI Quality engineering team, with an ambitious and growing roadmap. If you're excited about making AI systems work reliably, efficiently, and at scale, this is for you. WHAT YOU'LL BE DOING - Build and own our evaluation infrastructure. Design the CI/CD pipelines, scorers, and datasets that tell us whether Circle's AI agents (planners, tool-callers, and sub-agents) are actually working, from a single tool call to a full multi-turn conversation. - Diagnose exactly where quality breaks down. Trace failures across the agent pipeline including plan creation vs. execution, tool selection, tool trajectory in complex areas like workflows, site builder, and analytics. Turn what you find into prototypes that solve the issue or identify priorities for AI core engineering can help. - Grow the datasets that make evaluation possible. Stand up annotation workflows and build out AI-generated and simulated conversations so we can cover more of the product faster than manual labeling alone. - Run structured experiments across prompts, models, and the agent harness. Evaluate new and open-source models against our production baseline, build the framework we use to decide when to shift models, and chase cost and latency wins through model swaps, caching, and routing by plan complexity. - Lead and grow the AI Quality engineering team. Set technical direction and manage day-to-day priorities, all while staying hands-on in the code yourself. - Partner closely with AI Core engineering. Work with the engineers building Circle's AI products so they have real confidence that their changes are actually improving quality, not just shipping. WHAT YOU'LL NEED TO BE SUCCESSFUL - 7+ years of experience building and shipping production software, ideally including LLM-powered agents that take real actions in a product. You've worked on complex, tool-using systems (multiple tools, planning or orchestration, sub-agents) not just simple, single-turn assistants, and you can walk us through something you shipped and how you knew it was actually working. - Comfortable in Ruby on Rails / Python or ready to pick them up quickly. Ruby on Rails is our production system and the foundation that Circle’s AI Agents are built on and proficiency in Python is a strong plus, especially for the data and evaluation side of the work. - Experience building evaluation or observability infrastructure for ML/AI systems. You've built eval pipelines, scorers, dashboards, or CI/CD for evals before and have experience with evaluation frameworks like Braintrust, LangSmith, or similar. - Experience designing datasets, annotation workflows, or labeling pipelines for ML/AI evaluation. You know how to turn raw examples into a dataset you can trust through human annotation, AI-generated data, or simulation. - Learn fast, experiment aggressively, and thrive in a highly dynamic environment. You’ll need to be comfortable running a lot of experiments and letting the results settle the argument, including the ones that don't work (which will be many of them in the beginning). - Comfortable in a fast-paced environment with ambiguity. You’ll need to learn and pick up new technologies when projects require it. - Strong alignment with our company values https://circle.so/careers. - You are proficient in English (spoken, written, and reading) at a CEFR Level C2 https://magoosh.com/english-speaking/english-proficiency-levels-a-guide-to-determining-your-level/ / ILR Level 5 https://www.govtilr.org/.   COMPENSATION & BENEFITS Circle offers U.S.-benchmarked compensation globally, equity in the company with ongoing refresh grants, and 35 days of paid time off each year. We’re a remote-only team that comes together twice a year for company retreats in incredible destinations around the world. Alongside incredible flexibility and autonomy, we offer a benefits package that supports health, wellbeing, and professional growth. Learn more in our Candidate Hub. https://circleco.notion.site/circle-candidate-hub LEARN MORE - Candidate Safety & Interview Process Notice https://app.notion.com/p/circleco/Circle-Candidate-Hub-374b655313b7803d9580fb7da4f51acf?source=copy_link#374b655313b780e5b681c4d56b962790 - Diversity, Equity & Inclusion https://app.notion.com/p/circleco/Circle-Candidate-Hub-374b655313b7803d9580fb7da4f51acf?source=copy_link#374b655313b7807a8e3ff5c25a1d93ba - How We Use Candidate Data https://app.notion.com/p/circleco/Circle-Candidate-Hub-374b655313b7803d9580fb7da4f51acf?source=copy_link#374b655313b780e49e98f390eec6bb51 - Equal Employment Opportunity https://app.notion.com/p/circleco/Circle-Candidate-Hub-374b655313b7803d9580fb7da4f51acf?source=copy_link#374b655313b7807a967dea67e68f31f0 - Visit our Candidate Hub https://circleco.notion.site/circle-candidate-hub to learn more about working at Circle, our benefits, and our hiring process.

Location: Global We are the creators of a new fintech era! Our mission is to change this world by making blockchain accessible to everyone in everyday life. WhiteBIT is a global team of over 1,200 professionals united by one mission — to shape the new world order in the Web3 era. Each of our employees is fully engaged in this transformative journey. We work on our blockchain platform, providing maximum transparency and security for more than 8 million users worldwide. Our breakthrough solutions, incredible speed of adaptation to market challenges, and technological superiority are the strengths that take us beyond ordinary companies. Our official partners include the National Football Team of Ukraine, FC Barcelona, Lifecell, FACEIT and VISA. The future of Web3 starts with you: Join us as an Quantitative Researcher. Requirements Education & Experience: — MSc or PhD in a quantitative field; a live trading track record outweighs credentials — 5+ years in quantitative research or trading at a top-tier HFT firm, market maker, systematic fund, or crypto-native market maker; exchange-side market-structure experience is a plus — Hands-on experience with at least one TradFi asset class (FX, futures, equities) and / or equivalent crypto asset classes; both maker and taker strategies Core Technical Skills: — Advanced probability, statistics, time-series analysis, optimization; strict validation discipline (multiple testing, out-of-sample hygiene, live–sim parity) — Market microstructure: order-book dynamics, queue position, fill probability, adverse selection and markouts, market impact — Expert Python (NumPy, pandas/Polars, PyTorch); working C++ or Rust for latency-critical components — Tick-data engineering at scale: columnar stores, cross-venue normalization, data-quality control Market Knowledge: — Crypto microstructure: CEX matching engines and fee schedules, perpetuals (funding, mark price, liquidation/ADL), cross-venue arbitrage, DEX/AMM basics — TradFi microstructure: FX ECN mechanics (firm vs last-look liquidity, prime brokerage), listed futures; low-latency architecture (tick-to-trade path, colocation, exchange protocols) — Inventory and hedging: quoting models of the Avellaneda–Stoikov class and extensions, multi-asset inventory optimization, hedging, settlement workflows, real-time risk limits and kill switches Exchange Microstructure & Mechanism Design: — Maker-taker economics and market-quality measurement: fee-tier and rebate architecture, per-segment elasticity, spread/depth/slippage/markout metrics, defenses against rebate farming and wash trading — Liquidity program design: obligation-based schemes (two-sided quoting, presence at touch, minimum depth, uptime) and incentive-based schemes (tiered rebates, credit lines, connectivity benefits) — Maker protection and flow segmentation: markout-based counterparty scoring, retail price improvement (RPI) order types, asymmetric speed bumps and latency floors, minimum quote life, self-match prevention — Exchange P&L modeling: net fee capture, subsidy budget and payback, LP unit economics from onboarding to self-sufficiency Mindset & Soft Skills: — Owner mentality with direct P&L accountability; ships to production and makes honest kill decisions — Clear written communication with traders, engineers, exchange management, and external LPs — Compliance discipline across crypto and TradFi market-abuse regimes. Responsibilities Responsibilities — Liquidity Program: — Design the program end-to-end: MM tiers, admission criteria, obligations (max spread, min depth, uptime, presence at touch), incentives, and graduation to subsidy-free self-sufficiency — Optimize the fee schedule for net capture: taker tiers priced to measured elasticity by segment; maker rebates funded from taker fees; safeguards against tier gaming — Design order-book mechanics for comfortable quoting: tick and lot sizing, post-only / iceberg / RPI order types, self-match prevention, minimum quote life, passive-liquidity protection options — Build the toxic-flow framework: markout-based flow classification, counterparty scoring, continuous monitoring, access rules or surcharges for consistently toxic takers — Own the program financial model and roadmap: subsidy budget with payback targets; phases bootstrap → organic profitability → self-sufficiency; a market-quality dashboard as the single source of truth Responsibilities — Trading Desc: — Own the strategy roadmap — crypto first, then TradFi FX and futures; design pricing, quoting, hedging, and execution as one portfolio — Run end-to-end alpha research on tick/order-book, cross-venue, funding/basis, and on-chain data — Design the inventory-aware hedging framework, portfolio risk limits, and parameter governance — Partner with engineering on low-latency implementation; validate in high-fidelity simulation and canary deployments — Own P&L attribution, TCA/markout analysis, and research standards — Lead the TradFi FX entry research workstream (LSEG FX Spot Matching, Euronext FX). Working terms Immerse yourself in Crypto & Web3:Master cutting-edge technologies and become an expert in the most innovative industry. Master cutting-edge technologies and become an expert in the most innovative industry. Work with the Fintech of the Future: Develop your skills in digital finance and shape the global market. Take Your Professionalism to the Next Level: Gain unique experience and be part of global transformations. Drive Innovations: Influence the industry and contribute to groundbreaking solutions. Join a Strong Team: Collaborate with top experts worldwide and grow alongside the best. Work-Life Balance & Well-being: Modern equipment. Comfortable working conditions, and an inspiring environment to help you thrive. 24 calendar days of paid leave. Additional days off for national holidays. With us, you’ll dive into the world of unique blockchain technologies, reshape the crypto landscape, and become an innovator in your field. If you’re ready to take on challenges and join our dynamic team, apply now and start a new chapter in your career! Let’s Build the Future Together! WhiteBIT offers all candidates an equal opportunity to join the team. All hiring decisions are made without regard to race, national origin, gender identity or sexual orientation, age, religion, disability, medical condition, marital status, familial status, veteran status, or any other legally protected characteristic of an individual.

Что предстоит делать Разрабатывать ядро прокси, управлять соединениями и жизненным циклом сессий. Оптимизировать latency, throughput и потребление памяти, устранять блокировки и паузы GC.

-Разработка полного цикла: релиз продуктовых фичей на стыке фронтенда и бэкенда (API, интеграции, платежные шлюзы, подписки и веб-воронки). -Агентские AI-системы: улучшение логики агентов (распознавание намерений пользователя, подбор футажей, сборка монтажа, контекстное управление диалогом).

Location: Remote Workplace: Remote STAFF PRODUCT MANAGER, PRODUCT DISCOVERY ENGINE ABOUT US Constructor powers product search and discovery for some of the largest retailers in the world. We serve billions of requests every week, and you’ve probably seen our results somewhere and used our product without knowing it. We differentiate ourselves by focusing on metrics over features, and reinventing search and discovery from the ground up as a machine learning challenge with the specific goal of improving metrics like revenue. We’re approximately doubling year over year despite the market slowing down and have customers in every eCommerce vertical. We’re a passionate team of technologists who love solving problems and want to make our customers’ and coworkers’ lives better. We value empathy, openness, curiosity, continuous improvement, and are excited by metrics that matter. We believe that empowering everyone in a company to do what they think is best can lead to great things. JOB SUMMARY We’re looking for a systems-minded Staff Product Manager to take Constructor’s search and discovery to the state of the art — and keep it there — across every retail industry we serve. This is a highly technical, high-leverage role at the core of our Product Discovery Engine chapter: the teams responsible for how we retrieve, understand, and rank the right products for every shopper, on every query, for every customer. Your job is to raise discovery quality and, through it, our customers’ business metrics. You won’t be measured on features shipped — you’ll be measured on relevance and business outcomes, like conversion, revenue per visit, and search-attributed GMV, moving up. You’ll start embedded with our Search Quality team, owning its strategy and roadmap and getting deep into the systems that decide what shoppers actually see. Over time, your mandate grows to setting direction for the entire Product Discovery Engine chapter — deciding where we’re heading and why across recall, ranking, query understanding, personalization, and the ML infrastructure underneath. This is a Staff role today with a clear path to Director as you take on chapter-wide leadership. Search at Constructor is fundamentally a machine learning problem, so this role lives and breathes ML. You’ll partner closely with ML, data science, and engineering to turn the latest research into production wins, keep us ahead of both commercial competitors and academic state of the art, and be the connective tissue that aligns multiple teams — ML Recall, ML Infra, and, over time, teams like CORE, SABR, and Catalog Management — behind a single, coherent vision for great discovery. If you’re excited about driving innovation across dozens of the world’s largest retailers, being held to relevance and business outcomes, and pushing an already best-in-class product further ahead, this role is for you. WHAT YOU’LL DO - Own business impact, not features. Drive measurable lift in search-attributed conversion, revenue per visit, and GMV alongside relevance across our customer base. - Deliver across every retail industry. Move quality and business metrics across all the verticals we serve, accounting for the differences in catalog, language, and shopper intent. - Keep us at the state of the art. Continuously translate the latest ML / IR research and competitive moves into production wins, and ship SOTA ML / LLM-assisted capabilities that beat our previous best on relevance. - Set chapter vision and strategy. Define the multi-quarter direction for the Product Discovery Engine — where we’re heading and why — tie it directly to customer business outcomes, and rally teams behind it. - Lead Search Quality first. Own its strategy and roadmap, driving measurable improvements in the relevance and correctness of results. - Orchestrate across the pipeline. Unify recall, ranking, query understanding, and personalization behind one definition of quality and one set of business metrics, so improvements compound instead of colliding. - Turn ML research into production wins. Partner deeply with ML and data science to take models — from candidate generation and recall to LLM-assisted interpretation — from idea to production, balancing accuracy, latency, and cost. - Make quality measurable and explainable. Build the metrics, evaluation frameworks, and tooling the whole chapter uses to measure, attribute, and explain discovery quality and its business impact. - Own quality under pressure. Lead investigation and triage when issues arise, and design durable, systemic fixes rather than one-off patches. - Grow the mandate. Expand into chapter-wide leadership spanning ML Recall, ML Infra, and — over time — teams like CORE, SABR, and Catalog Management. WHAT SUCCESS LOOKS LIKE Within your first year, you will have: - Driven measurable lift in search-attributed conversion and revenue per visit — moving business metrics, not just quality metrics. - Driven measurable business-metric lift (conversion, revenue per visit, GMV) and relevance lift across every major retail vertical we serve. - Shipped at least one state-of-the-art ML / LLM-assisted capability into production that beats our previous best on relevance. - Won head-to-head quality benchmarks against every major competitor in the verticals we compete in, with a repeatable, defensible methodology. - Taken core quality metrics to best-in-class levels and kept them improving quarter over quarter. - Stood up an evaluation framework and tooling that ties model and system investments directly to customer business outcomes. WHAT WE’RE LOOKING FOR - Extensive product management experience (typically 8+ years) in search, discovery, ML, or NLP-heavy products, including time operating at a senior or staff level. - A track record of moving business metrics at scale — conversion, revenue, engagement — not just shipping features, and of setting strategy across multiple teams. - Deep understanding of the end-to-end search pipeline: query interpretation → recall / candidate generation → ranking → reranking → personalization → delivery. - Strong ML product depth — owning production models and reasoning about tradeoffs between high-capacity (LLM / batch) and low-latency (real-time) approaches — and a habit of staying current with state-of-the-art research. - Fluency with retrieval and recall, query understanding (tokenization, synonyms, spelling correction, multilingual support), and search evaluation frameworks. - A rigorous, measurement-first mindset that ties every quality investment back to business outcomes. - Excellent cross-functional leadership — able to align teams with different goals behind a shared definition of quality and a shared set of business metrics, working shoulder-to-shoulder with engineering, data science, and ML Ops. - Comfort operating with ambiguity, setting direction where none exists yet, and leading through clarity and credibility rather than the org chart. BENEFITS - Unlimited vacation time — we strongly encourage all of our employees to take at least 3 weeks per year. - A competitive compensation package including stock options. - Company-sponsored US health coverage (100% paid for employee). - 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. - Parental leave for qualified employees. - Work with smart people who will help you grow and make a meaningful impact. This position is fully remote — Constructor.io http://Constructor.io is a remote-first company. 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. 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: Global We are the creators of a new fintech era! Our mission is to change this world by making blockchain accessible to everyone in everyday life. WhiteBIT is a global team of over 1,200 professionals united by one mission — to shape the new world order in the Web3 era. Each of our employees is fully engaged in this transformative journey. We work on our blockchain platform, providing maximum transparency and security for more than 8 million users worldwide. Our breakthrough solutions, incredible speed of adaptation to market challenges, and technological superiority are the strengths that take us beyond ordinary companies. Our official partners include the National Football Team of Ukraine, FC Barcelona, Lifecell, FACEIT and VISA. The future of Web3 starts with you: Join us as a Traiding Monitoring Specialist! Requirements Higher education in Economics, Finance, Mathematics, Computer Science or a related field; Basic understanding of financial markets, trading and exchange infrastructure; Understanding of the trading lifecycle: market data, deals, executions, liquidity and position updates; Strong analytical and systemic thinking, with the ability to identify anomalies and perform initial investigation; Confident Excel skills and ability to work with operational and trading data; Ability to follow runbooks and escalation procedures and handle incidents under time pressure; Strong communication skills and ability to coordinate with Trading, Risk, Operations and Engineering teams; Willingness to work in shifts, including day, evening and night shifts in rotation. Will be an advantage Basic understanding of APIs, WebSocket, connectivity and common exchange or trading system issues; Experience with monitoring and BI tools such as Grafana and Tableau; Responsibilities Monitor trading services, strategy instances and critical production dependencies in real time; Monitor exchange connectivity, market data feeds, order flow, fills, latency, API/WebSocket errors and rate limits; Detect technical anomalies and deviations in the observable state of trading services; Perform first-line incident investigation and predefined recovery actions within approved permissions; Classify and escalate incidents to Traders, Risk,Operations or Engineering according to severity and incident type; Track incidents through resolution and maintain incident logs, runbooks and shift handovers; Support monitoring readiness and checks for new strategies, markets, exchanges and production releases; Contribute to improvements in monitoring dashboards, alerts and automation. Working terms Immerse yourself in Crypto & Web3: Master cutting-edge technologies and become an expert in the most innovative industry. Work with the Fintech of the Future: Develop your skills in digital finance and shape the global market. Take Your Professionalism to the Next Level: Gain unique experience and be part of global transformations. Drive Innovations: Influence the industry and contribute to groundbreaking solutions. Join a Strong Team: Collaborate with top experts worldwide and grow alongside the best. Work-Life Balance & Well-being: Modern equipment. Comfortable working conditions, and an inspiring environment to help you thrive. 24 calendar days of paid leave. Additional days off for national holidays. With us, you’ll dive into the world of unique blockchain technologies, reshape the crypto landscape, and become an innovator in your field. If you’re ready to take on challenges and join our dynamic team, apply now and start a new chapter in your career! Let’s Build the Future Together! WhiteBIT offers all candidates an equal opportunity to join the team. All hiring decisions are made without regard to race, national origin, gender identity or sexual orientation, age, religion, disability, medical condition, marital status, familial status, veteran status, or any other legally protected characteristic of an individual.

Location: San Francisco; Toronto; New York; Montreal; Seattle Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE The largest, most demanding enterprises run on Baseten, and they bring exacting requirements for how people, services, and agents access the platform. This is the founding role for our identity and authorization team within enterprise engineering. You'll own the identity and access layer of the Baseten platform: the authorization model, credential systems, and admin experiences that enterprise IT teams use to govern access for organizations like Harvey, HubSpot, and Notion. You'll design and build Baseten's fine-grained authorization system from the ground up to support the workflows customers depend on today while giving them cleaner, more precise ways to manage access as the platform grows. Authorization at Baseten requires low-latency permission checks at high request volume, consistent contracts and behaviors across the product suite, and strong security guarantees for mission-critical, highly regulated workloads.   EXAMPLE INITIATIVES Recent and upcoming work in this area: - Fine-grained authorization for users, service accounts, and agentic workloads: per-resource permissions at the organization, team, and workload scope to support both common workflows and complex enterprise access policies - Programmatic authentication allowing high-compliance customers to connect service principles securely via short-lived, workload-based credentials - Agent credentials that grant an agent exactly the access it needs for the given task and nothing more - Enterprise identity lifecycle including single sign-on, SCIM provisioning, and per-organization session expiry policies - Admin controls for centralized visibility, auditability, and governance over credentials, roles, and access   RESPONSIBILITIES - Lead identity and authorization projects from problem definition and technical design through implementation, launch, and iteration. - Design authorization and credential models that support critical user workflows today and can be safely extended as the platform evolves. - Partner with product, design, and customer-facing teams to turn enterprise security requirements into durable technical solutions. - Establish engineering practices for quality, security, observability, and operational ownership. - Provide technical leadership and mentorship as the team grows.   REQUIREMENTS - 4-5+ years of experience building production backend systems, including hands-on design and implementation of a product authorization system: per-resource or per-object permissions, relationship-based access control, a policy engine, or a fine-grained authorization system in the style of Zanzibar, OpenFGA, SpiceDB, or Cedar. - Demonstrated end-to-end ownership: you've taken a system from first design through implementation, production rollout, and iteration with users. - Experience developing and operating multi-tenant systems at scale, where authorization checks sit in the request path and latency and consistency matter. - Comfort working across the full stack, from product and application code to cloud and Kubernetes infrastructure.   NICE TO HAVE - Experience with Python and Go. - Experience running an OpenFGA, SpiceDB, or similar deployment in production, beyond a proof of concept. - Working knowledge of OAuth, OIDC, and SCIM at the protocol level. BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: Hybrid - San Francisco, New York City About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the Role We're looking for an Engineer to lead the design and development of Vercel's Financial Data Platform, the foundational system that powers revenue reporting, consumption-based billing, financial forecasting, and compliance across the business. This is a unique opportunity to architect the data infrastructure that Finance, Accounting, and Revenue Operations depend on to close the books accurately, forecast revenue with confidence, and scale with the business. Reporting directly to the Senior Director of Data Engineering, you'll define the technical vision for Vercel's financial data ecosystem, partner closely with Finance, Accounting, and Revenue leadership to translate business and compliance requirements into scalable systems, and build reliable, auditable pipelines using modern technologies like Kafka, ClickHouse, Tinybird, and Snowflake. You'll lead from the front, writing production-grade code, setting the bar for data accuracy and governance in a domain where correctness isn't optional, and mentoring a team of engineers as the function grows. If you're excited by the challenge of building financial-grade data systems that the business trusts for reporting, forecasting, and audit, we'd love to hear from you. What You Will Do Design and implement a data platform that supports revenue recognition, consumption-based billing, and financial reporting across batch and real-time workloads, leveraging Kafka and streaming technologies to power real-time usage and billing pipelines feeding revenue and consumption forecasts. Work directly with FP&A, Accounting, and RevOps to understand reporting requirements, close-cycle timelines, and forecasting needs, translating them into technical architecture and ensuring data availability and accuracy align with financial reporting deadlines, audit cycles, and board-level reporting needs. Define and maintain guidelines for financial data ingestion, transformation, and storage, with a focus on auditability, lineage, and data integrity, while overseeing data modeling, ETL, and warehousing (ClickHouse, Tinybird, Snowflake) to support low-latency analytics and reliable historical reporting. Develop end-to-end solutions across the finance data stack, setting the example for engineering excellence in a high-accountability domain, and mentor engineers on both technical craft and the added rigor required when data feeds directly into financial statements. Partner with Security, Compliance, Legal, and Internal Audit to ensure financial data pipelines meet SOX, SOC 2, and other regulatory requirements, and champion high availability, fault tolerance, and auditability through comprehensive monitoring, alerting, and incident response. Drive architectural decisions and roadmap planning that balance efficiency, scalability, and the strict correctness requirements of financial systems, and evaluate build-vs-buy tradeoffs across financial and billing tooling (e.g., ERP, billing, and revenue platforms). Build the data infrastructure that translates raw usage into revenue, supporting the forecasting models Finance and GTM rely on for target-setting and reporting, and collaborate with data science and FP&A teams on forecasting, incrementality analysis, and revenue modeling at scale. Act as a key decision-maker for evaluating and selecting data architectures and technologies critical to Vercel's financial operations, and establish a multi-phase roadmap for finance data platform maturity aligned with company growth and audit readiness. About You 8+ years of experience in data engineering, analytics engineering, or a closely related field, with a track record of owning production data pipelines end-to-end. Proven track record designing and operating large-scale data infrastructures in a complex, fast-paced environment, with experience across Kafka and its ecosystem (e.g., Kafka Streams, Confluent Platform), ClickHouse, Tinybird, Snowflake, and broader big data frameworks. Prior experience building data pipelines that feed financial reporting, revenue recognition, billing, or consumption-based pricing models, with familiarity with financial/ERP systems (e.g., NetSuite, Workday) or billing platforms considered a strong plus. Proficiency in cloud platforms (AWS, GCP, or Azure) and associated big data services. Strong background in data governance, security, and compliance, including direct experience supporting audit, SOX, or SOC 2 requirements, and a rigorous approach to data lineage and accuracy. Outstanding communication and collaboration skills, with the ability to translate financial and accounting requirements into technical architecture and influence both technical and non-technical stakeholders, including Finance and Audit leadership. A leadership mindset, with demonstrated ability to mentor teams, drive consensus, and advocate for best practices in high-accountability data environments. Industry recognition or notable contributions in data engineering (e.g., published works, open-source contributions) is a plus. Compensation & Benefits: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The San Francisco, CA base pay range for this role is $264,000 - $396,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

Location: Ukraine; Moldova; Albania; Kazakhstan; Montenegro; European Union; Serbia; Bosnia; Georgia Workplace: Remote ABOUT US Ruby Labs is a leading tech company that creates and operates innovative consumer products. We offer a diverse range of opportunities across the health, education, and entertainment industries. Our innovative teams are driving the future of consumer-led products, and we're always looking for passionate individuals to join us. Learn more about our story at: https://rubylabs.com/about-us/ ABOUT THE ROLE At Ruby Labs, we are looking for a Senior Desktop Engineer to own and drive a new cross-platform desktop product from first commit to production. This is a high-ownership role with an unusually deep systems component. The application is not a wrapped web app: it captures system and microphone audio in real time, renders an always-on-top overlay across the user's workspace, registers global shortcuts, and integrates with the operating system at a level that requires native code on both macOS and Windows. Our architecture is Electron for the application and UI layer, with native modules and helper processes in Swift and C++ where the platform requires it. You will own that boundary, deciding what belongs in TypeScript, what belongs in native code, and making the two halves behave as one reliable product. You will also own everything that happens after the build: code signing, notarization, entitlements, permission onboarding, auto-update, and crash reporting. On this product, those are not an afterthought; they are a significant share of the engineering work, and getting them wrong is what stops users from ever running the app. You will operate as the senior technical voice for desktop within your team, setting the engineering standard for the platform. KEY RESPONSIBILITIES DESKTOP APPLICATION & ENGINEERING QUALITY - Own the Electron architecture end to end — main, renderer and helper processes, IPC design, context isolation, process lifecycle — and deliver major features within agreed timelines. - Build transparent, frameless, always-on-top overlay windows that behave correctly across full-screen spaces, multiple displays and mixed-DPI setups, alongside global shortcuts, tray presence and low-latency UI under continuous background load. - Design a clean platform abstraction in TypeScript so the macOS and Windows implementations stay isolated and independently testable, and write idiomatic Swift and C++ in the native layer. - Keep the product reliable: defensive handling of unstable platform APIs, tests and code reviews, performance, memory and battery budgets, and remediation of security-review and penetration-test findings within agreed severity SLAs. NATIVE PLATFORM INTEGRATION - Build and maintain the native layer: Node addons (N-API / node-addon-api) and out-of-process helpers in Swift and C++. - Implement real-time system audio capture — Core Audio process taps and ScreenCaptureKit on macOS, WASAPI loopback on Windows — including device change handling, format negotiation and graceful recovery from driver-level failures. - Integrate with the Accessibility API (AXUIElement) on macOS and UI Automation on Windows to read application context reliably. - Own the IPC protocol and lifecycle between Electron and the native helpers, and keep the application working as Apple and Microsoft change their platforms. DISTRIBUTION, PERMISSIONS & RELEASE RELIABILITY - Own code signing and notarization on macOS — hardened runtime, entitlements, nested binary signing, provisioning profiles — and Authenticode signing, SmartScreen reputation and antivirus false positives on Windows. - Design the permission onboarding flow — microphone, system audio, screen recording, accessibility — so that grant rates stay high and failure states are recoverable. - Build and maintain the release pipeline: CI matrix builds, signing from CI with HSM-backed certificates, auto-update, staged rollout and rollback. - Own crash reporting and production telemetry for the desktop client, and act on what it tells you. QUALIFICATIONS - 6+ years of software engineering experience, including production-grade TypeScript/Node.js. - 3+ years building and shipping Electron applications to real end users, not internal tools or proofs of concept. - Hands-on native macOS development in Swift and/or Objective-C, with AppKit and at least one system-level framework such as Core Audio, AVFoundation, ScreenCaptureKit, or the Accessibility API. - Practical experience writing native Node addons (N-API / node-addon-api) or bundling and communicating with out-of-process native helpers. - Demonstrated experience with macOS code signing, notarization, entitlements, and the TCC permission model — you have debugged a rejected notarization and know how to read the log. - Working knowledge of the Windows desktop platform: Win32 APIs, Authenticode signing, and the practical realities of SmartScreen and antivirus reputation. - Strong grasp of multi-process architecture, IPC, and debugging issues that only reproduce on a user's machine. NICE TO HAVE - Real-time audio pipelines — buffering, resampling, mixing multiple sources, or streaming to speech-to-text services. - Signing from CI with hardware-backed certificates (Azure Key Vault, DigiCert KeyLocker, or similar), and antivirus whitelisting or SmartScreen reputation building for a new product. - Auto-update infrastructure such as Squirrel, electron-updater or Sparkle, including staged rollouts. - Crash reporting and symbolication for native code (Crashpad, Sentry, or similar). - Prior experience shipping a consumer desktop product at meaningful scale. LOCATION Ruby Labs operates within the CET (Central European Time) zone. Applicants from any country are welcome to apply for the position as long as they are located within approximately ± 4 hours of CET. This ensures optimal collaboration and communication during working hours. BENEFITS Discover the perks of being part of our vibrant team! We offer: - Remote Work Environment: Embrace the freedom to work from anywhere, anytime, promoting a healthy work-life balance. - Unlimited PTO: Enjoy unlimited paid time off to recharge and prioritize your well-being, without counting days. - Paid National Holidays: Celebrate and relax on national holidays with paid time off to unwind and recharge. - Company-provided MacBook: Experience seamless productivity with top-notch Apple MacBooks provided to all employees who need them. - Flexible Independent Contractor Agreement: Unlock the benefits of flexibility, autonomy, and entrepreneurial opportunities. Benefit from tax advantages, networking opportunities, reduced employment obligations, and the freedom to work from anywhere. Read more about it here: https://docs.google.com/document/d/1nkrN76JlZkbKj9WSOhlT1_mni_CZeDkHdwfIjPXVwvk/preview?tab=t.0#heading=h.ndsdl4wapxtt Be part of our fast-growing team and seize this excellent opportunity for personal and professional growth! INTERVIEW PROCESS After submitting your application, we conduct a thorough review which typically takes 3 to 5 days, but may occasionally take longer due to the volume of applications received. If we see a potential fit, we proceed with the following steps: - Recruiter Screening (40 minutes) - Technical Interview (60 minutes) - Final Interview (40 minutes) LIFE AT RUBY LABS At Ruby Labs, we move fast, aim high, and expect the same from our team. We’re not here to play small—we’re here to build, grow, and win. That means we look for people who are ambitious, driven, and ready to give their best every single day. This is a place for individuals who thrive under pressure, embrace challenges, and see opportunity in every obstacle. If you’re hungry to achieve, motivated by impact, and want to grow at the speed of your own ambition, Ruby Labs offers the platform to make it happen. Here, effort is matched with reward. We recognize those who go all in and deliver results, and we create space for people who want more—more responsibility, more growth, and more success. #LI-Remote

Location: Ukraine; North Macedonia; Turkey; European Union; Serbia; Bosnia; Georgia Workplace: Remote ABOUT US Ruby Labs is a leading tech company that creates and operates innovative consumer products. We offer a diverse range of opportunities across the health, education, and entertainment industries. Our innovative teams are driving the future of consumer-led products, and we're always looking for passionate individuals to join us. Learn more about our story at: https://rubylabs.com/about-us/ ABOUT THE ROLE We are looking for a Senior AI Engineer to own and scale the AI layer of one of our core D2C subscription products. You will be fully responsible for production LLM features and the browser automation built around them end to end — prompt systems, structured outputs, evaluation, observability, and model selection — from first experiment to live release, with quality, reliability, and cost as your accountability. This is a high-impact role suited for someone who decides with data, not intuition. Unmeasured prompt changes, untraced failures, and model swaps without benchmarks are not acceptable. You work in a modern TypeScript stack — Next.js, Cloudflare Workers and Containers with Hono, Hatchet task queues, Drizzle on Supabase Postgres, Vercel Blob. Browser automation on Browserbase and Playwright is roughly half of the job. KEY RESPONSIBILITIES PROMPT SYSTEMS & STRUCTURED OUTPUTS - Design dynamic prompt templates with conditional logic and context injection that maximise generation quality - Enforce predictable outputs with JSON mode, function calling, Zod/JSON schemas, validators, and repair loops - Own complex LLM workflows (LangChain, LlamaIndex, or custom) that integrate cleanly into application logic BROWSER AUTOMATION - Build and maintain browser automation on Browserbase Functions and Playwright that traverses web flows reliably - Classify screens with a model inside each traversal, and decide what the model handles versus deterministic code - Ship automations as frozen, published workers — versioned, reproducible, and safe to roll back - Orchestrate runs through Hatchet with retries, timeouts, and failure traces that explain every broken run EVALUATION & EXPERIMENTATION - Build evaluation pipelines — test datasets, LLM-as-a-judge, RAGAS-style metrics — and score responses and screen classifications in Langfuse - Trace complex LLM chains to find bottlenecks in cost, latency, and context-window usage - Run A/B experiments across models and prompts through an AI gateway (OpenRouter, Cloudflare AI Gateway); release only on quantitative benchmarks - Re-evaluate models as new architectures emerge; fine-tune when domain requirements demand it PRODUCTION OWNERSHIP - Take AI features from experiment to live production on Cloudflare Workers and Containers, and stay accountable after release - Manage rate limits, fallbacks, and model cost so features stay reliable at scale - Resolve production incidents in owned AI and automation systems with documented root-cause analysis QUALIFICATIONS MUST-HAVE EXPERIENCE - 【5+】 years of software engineering with Node.js, TypeScript, Next.js, and Postgres, including edge or serverless runtimes such as Cloudflare Workers - Production browser automation with Playwright (Browserbase or similar): resilient selectors, retries, failure handling at scale - Production experience with dynamic prompting — content that depends on input variables and injected context - Structured outputs in production: JSON mode, function calling, Zod/JSON schemas - Experience with unified LLM APIs or AI gateways (OpenRouter, Cloudflare AI Gateway): rate limits, fallbacks, cost-effective model selection - LLM observability with Langfuse or similar: tracing, test datasets, scoring integration - Evaluation methodology: RAGAS or custom LLM-as-a-judge systems LEADERSHIP ATTRIBUTES - Decides on benchmarks and trace data, not intuition - Analytical — converts generation logs into metrics a business can act on - Iterative — builds feedback loops and improves continuously - Owns the outcome from experiment to production, and after - Verifies before trusting — treats LLM output as unproven until validated LOCATION Ruby Labs operates within the CET (Central European Time) zone. Applicants from any country are welcome to apply for the position as long as they are located within approximately ± 4 hours of CET. This ensures optimal collaboration and communication during working hours. BENEFITS Discover the perks of being part of our vibrant team! We offer: - Remote Work Environment: Embrace the freedom to work from anywhere, anytime, promoting a healthy work-life balance. - Unlimited PTO: Enjoy unlimited paid time off to recharge and prioritize your well-being, without counting days. - Paid National Holidays: Celebrate and relax on national holidays with paid time off to unwind and recharge. - Company-provided MacBook: Experience seamless productivity with top-notch Apple MacBooks provided to all employees who need them. - Flexible Independent Contractor Agreement: Unlock the benefits of flexibility, autonomy, and entrepreneurial opportunities. Benefit from tax advantages, networking opportunities, reduced employment obligations, and the freedom to work from anywhere. Read more about it here: https://docs.google.com/document/d/1nkrN76JlZkbKj9WSOhlT1_mni_CZeDkHdwfIjPXVwvk/preview?tab=t.0#heading=h.ndsdl4wapxtt Be part of our fast-growing team and seize this excellent opportunity for personal and professional growth! INTERVIEW PROCESS After submitting your application, we conduct a thorough review which typically takes 3 to 5 days, but may occasionally take longer due to the volume of applications received. If we see a potential fit, we proceed with the following steps: - Recruiter Screening (40 minutes) - Technical Interview (60 minutes) - Final Interview (30 minutes) LIFE AT RUBY LABS At Ruby Labs, we move fast, aim high, and expect the same from our team. We’re not here to play small—we’re here to build, grow, and win. That means we look for people who are ambitious, driven, and ready to give their best every single day. This is a place for individuals who thrive under pressure, embrace challenges, and see opportunity in every obstacle. If you’re hungry to achieve, motivated by impact, and want to grow at the speed of your own ambition, Ruby Labs offers the platform to make it happen. Here, effort is matched with reward. We recognize those who go all in and deliver results, and we create space for people who want more—more responsibility, more growth, and more success. #LI-Remote

Location: New York City; US Remote Workplace: Hybrid ABOUT PINECONE Pinecone is the trusted AI knowledge company. Its trusted AI knowledge platform—including its Database, Nexus, and Marketplace products—power accurate, fast, and cost-effective AI applications for more than 10,000 customers and 1M developers worldwide. Pinecone's mission is to make AI knowledgeable. ABOUT THE TEAM AND ROLE We're looking for an Applied AI Engineer who loves building real applications with AI. You'll work across the stack, from backend services and retrieval pipelines to APIs and user-facing applications, turning new AI capabilities into working solutions. This is a hands-on engineering role for someone who enjoys moving quickly, experimenting with emerging technologies, and owning projects from initial idea to production. You'll work closely with our engineering and product teams, as well as customers and partners, to explore new use cases, build reference applications, and demonstrate what's possible with Pinecone's technology. The ideal candidate combines strong full-stack engineering skills with practical experience building LLM-powered applications and agentic systems. You should be equally comfortable discussing architecture, writing production code, and putting together a working prototype. RESPONSIBILITIES - Design, build, and ship end-to-end AI applications using Pinecone’s retrieval and knowledge infrastructure. - Develop full-stack solutions spanning frontend interfaces, backend services, APIs, data pipelines, and LLM integration. - Build reference applications, integrations, and reusable components that help developers and customers adopt Pinecone. - Experiment with emerging AI patterns, including RAG, agents, tool use, context engineering, and agent memory. - Work with customers, partners, and internal teams to understand real-world problems and translate them into working software. - Evaluate and improve the quality, reliability, latency, and cost of AI-powered applications. - Share technical insights and best practices through code, examples, and technical content. - Bring learnings from building applications back into Pinecone’s product and engineering teams. WHAT YOU’LL BRING TO THE TABLE You don't need to check every box, but you should enjoy building software and be excited about what AI makes possible. FULL-STACK ENGINEERING - Strong software engineering background with experience designing, building, and shipping production applications. - Proficiency in Python and/or TypeScript, including modern backend frameworks and frontend technologies such as React or Next.js. - Experience building APIs, integrating external services, and working with databases and cloud infrastructure. - Ability to independently take a project from rough requirements through implementation and deployment. APPLIED AI - Hands-on experience building applications using LLMs, embeddings, vector databases, or retrieval-augmented generation. - Familiarity with modern AI development tools, frameworks, and APIs. - Understanding of the practical challenges of building AI applications, including retrieval quality, evaluation, latency, reliability, and cost. - Curiosity about emerging patterns in agentic applications, context management, and AI-driven workflows. OWNERSHIP & COLLABORATION - A builder's mindset: you enjoy writing code, experimenting, and getting working software into users’ hands. - Comfortable working with ambiguous requirements and making pragmatic technical decisions. - Ability to communicate technical ideas clearly to engineers, customers, and other stakeholders. - Comfortable moving between rapid prototypes and production-quality implementations. - Interest in understanding how developers and customers use the technology and translating that feedback into better solutions. BONUS POINTS - Experience with Pinecone or other vector databases and search technologies. - Experience building agentic applications, agent memory systems, or complex RAG pipelines. - Contributions to open-source projects, developer tools, or technical communities. - Experience working directly with customers on technical projects. - Experience deploying and operating AI applications in production. PERKS & BENEFITS - Comprehensive health coverage including medical, dental, vision, and mental health resources - 401(k) Plan - Equity award - Flexible time off - Paid parental leave - Annual Company Retreat - WFH Equipment Stipend Benefits and eligibility may vary by country of employment.

Location: San Francisco; Toronto; New York; Montreal; Seattle Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE Forward Deployed Engineering is Baseten’s swat team. We’re deeply technical, great with customers and fast, and we make the platform better with everything we learn in the field. FDEs take on the hardest inference problems for our most strategic customers: novel architectures, extreme scale, tight latency budgets. Then we turn those solutions into a platform no one can match. We’re scaling the team quickly. We need someone to build the operating system that lets a fast-growing team of engineers stay focused on hard problems instead of coordination. This is a high-visibility role with direct exposure to our largest customers and to company leadership. You’ll shape how a new kind of engineering team operates in the AI industry. RESPONSIBILITIES - Run the priority account cadence. Own the operating rhythm for our top accounts: daily hot-account check-ins, the weekly “forest view” review with leadership, and the account list itself with Sales leadership. Goal: zero surprise escalations to our execs. - Make the bridges work. Our FDE team connects to SA and Sales, Product, engineering (inference, infra), capacity and on-call. You’ll make sure each connection has a clear owner, cadence and SLA, with no hand-offs falling through the cracks: - Account transitions between solution architect and FDE, with exit criteria and runbooks - Non-P0 escalations to engineering teams, tracked and burned down weekly - Customer patterns and gaps flowing into the product roadmap - Drive cross-team programs for our largest customers. Coordinate multi-team efforts such as dedicated-capacity rollouts, cluster migrations, capacity reservations and large customer launches. Bring together various teams so these run on a plan, not on heroics. - Reduce toil and protect platform time. Track where engineering time goes: incidents another team owns, manual routing and config changes, after-hours pages. Work with engineering leads to remove the biggest sources of obstacles, so FDEs keep 30% of their time for shaping the platform. - Own the metrics. Build and report the metrics scorecard (account health, response times, toil, load per engineer, team health) to leadership. - Help us scale the team. Drive programs like new-hire enablement and certification, account load balancing, and run book coverage. Partner with Recruiting on hiring operations as we grow. - Manage risk and dependencies. Maintain a clear-eyed view of cross-team dependencies and risks; surface them early, drive mitigation, and keep leadership informed with honest, signal-rich updates. - Communicate up, down, and across. Translate between deeply technical teams and senior leadership. Run effective program reviews and write the kind of crisp statuses that let busy people make fast decisions. REQUIREMENTS - 5+ years as a TPM (or engineer turned TPM) on infrastructure, cloud or customer-facing technical programs - Technical depth: you’re comfortable with ML Infra systems, Kubernetes, GPUs and distributed systems, and can follow an incident channel or a design doc without a translator. Experience with LLM inference is a strong plus. - You’ve run programs across many teams at once and kept them moving without formal authority - Calm in the middle of an escalation: you bring structure to chaos and close the loop - You write clearly and concisely, for engineers and for execs - High ownership, and you’d rather fix the process than work around it NICE-TO-HAVES - Experience working on AI / ML Infra stack. - Background in solutions engineering, SRE or forward-deployed teams WHAT SUCCESS LOOKS LIKE - In your first few months, you'll have taken ownership of one or more in-flight programs, established the operating rhythm they were missing, and built the trust that makes teams want you in the room. - Within a year, the programs you run are the ones leadership doesn't worry about, because the structure is clear, the risks are visible early, and the follow-ups always close. BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: Almaty, Kazakhstan Workplace: OnSite Almaty, Kazakhstan · Growth Engineering WHY THIS ROLE EXISTS Higgsfield's Growth team runs on an internal platform. We need a Business Engineer to turn operational bottlenecks into software, from the data model and API to the screens the team uses every day. You own features through launch, adoption and production support. WHAT YOU'LL ACTUALLY DO - Turn growth team problems into useful features. Define a small first release and build it across backend and frontend. - Own database schemas, query performance and safe migrations on a live database. - Build third-party integrations that handle API quotas, rate limits, retries and webhooks. - Make payment and messaging workflows safe to retry, without duplicate payouts or sends, and keep an audit trail. - Ship LLM features and measure quality, latency and cost per result. - Own environments, releases, monitoring, security and access. Share on-call responsibility. - Define success metrics, track adoption after launch and improve what you ship. MUST-HAVES - Production experience. You've built and operated backend systems and can explain your decisions, personal contribution and results. - Strong Python and full-stack delivery. You build backend services and React screens when a feature needs them. - Deep PostgreSQL knowledge. Data modeling, query plans, indexes, transactions, locking and migrations on live databases. - API security. Authentication, object-level authorization and role isolation. You prevent IDOR on reads and writes and test access as different users. - Hands-on operations. Linux, containers, CI/CD, monitoring and debugging production from logs. You can run what you build. - High agency and ownership. You find worthwhile problems, remove blockers and follow through without waiting for assignments. - Low ego. You welcome direct feedback, admit mistakes and change your mind with evidence. - Energy for an intense pace. The team ships daily, priorities shift and urgent production issues can need you outside regular hours. OUR TECH STACK - Languages: Python and TypeScript. - Backend: Python and Node.js services, REST APIs, background workers and scheduled jobs. - Frontend: React with server-side rendering. - Data: PostgreSQL and S3-compatible object storage. - Infrastructure: Linux, Docker and GitHub Actions CI/CD. - AI: LLM APIs from major providers. - Quality: Static typing, linters and automated tests in both languages. Bonus experience: Influencer marketing, affiliate programs or creator payouts; large-scale YouTube data within API quotas; email outreach and deliverability; LLM evaluations, prompt regression sets and cost tracking. INTERVIEW PROCESS 1. Recruiter screen: role expectations, logistics and fit. 2. Technical interview: a difficult system you shipped, what you personally decided and built, and how your work made the team more capable without leaving it dependent on you. 3. Practical task: a real problem from our backlog, under NDA. You design the data model and API, write the core of it and explain your trade-offs. 4. Product interview: turn a growth team problem into a small first release, decide what to leave out and explain how feedback would change it. 5. Offer. WHAT WE OFFER Competitive base in USD, equity, relocation support, and ownership of the systems Higgsfield's growth runs on.