Location: Москва
Мы - команда инженеров SRE в составе инфраструктурной платформы. Отвечаем за отказоустойчивость нашей системы, прорабатываем различные теории и решения для оценки их внедрения и использования. Ищем в команду коллегу, который поможет нам усилиться и решать новые, сложные задачи.
Обязанности
### Задачи:
* обеспечивать беспрерывную и качественную работу компонентов системы
* разрабатывать и автоматизировать типовые задачи
* прорабатывать и внедрять технологии развертывания и установки компонентов
* внедрять новые компоненты, решения, проводить MVP и пилоты
* решать задачи в области мониторинга и повышения наблюдаемости
* создавать документацию и инструкции.
Требования
### Мы ждем от тебя:
* знание Linux (RHEL, CentOS, Ubuntu) на уровне администратора
* опыт работы с платформой контейнеризации (Kubernetes, Openshift и аналоги)
* опыт подготовки CI/CD конвейеров для приложений
* опыт работы с СУБД PostgreSQL (либо другими классическими реляционными) и с SecMan(HashiCorp Vault)
* знания bash-скриптов, ansible playbook, опыт работы с Jenkins или аналогами
* знания и опыт настройки систем мониторинга
* инструментальное владение AI для анализа, генерации и автоматизации.
Условия
### Мы предлагаем:
* офисный формат работы рядом с м. Кожуховская по адресу: 2-й Южнопортовый проезд,12А
* ежегодный пересмотр зарплаты и годовая премия
* корпоративный спортзал и зоны отдыха
* более 400 образовательных программ СберУниверситета для профессионального и карьерного развития
* расширенный ДМС, льготное страхование для семьи
* гибкий дисконт по ипотечному кредиту, равный 1/3 ключевой ставки ЦБ
* подписка Прайм с возможностью совместного использования на трёх близких
* вознаграждение за рекомендацию друзей в команду Сбера.
A prediction markets company — the fastest growing financial market in America — needs an Engineer to build the systems behind their exchange. Think NYSE rebuilt from scratch: you'll own greenfield infra across AWS, Kubernetes, Kafka, and trading APIs.
Location: Tbilisi, Georgia
On behalf of
UrbanTech
Client #1
, SD Solutions is looking for a talented
Senior Platform Engineer
you’ll own and evolve our AWS production infrastructure and build internal services and AI-powered automations that make our teams more effective.
This is an infrastructure-focused engineering role requiring deep AWS and Terraform expertise, strong production ownership, and the ability to build reliable platform capabilities.
SD Solutions is a staffing company operating globally. Contact us to get more details about the benefits we offer.
Responsibilities:
Build and evolve platform services
that improve productivity, reliability, and developer experience across the company.
Develop AI-driven tools and automations
, including internal assistants, workflow orchestrators, and intelligent internal integrations.
Own and operate our production environments on AWS end-to-end, using Terraform to deliver secure, scalable, reliable, and cost-efficient infrastructure.
Create self-service capabilities
that allow teams to move independently without relying on manual processes.
Integrate platform components
with our .NET and Python environments running on AWS.
Collaborate with Platform, Security, DBA, Product, and business stakeholders
to deliver impactful, cross-organizational solutions.
Improve engineering efficiency
through reusable templates, best practices, and inner-source contribution models.
Requirements:
6+ years of engineering experience, including significant experience in platform infrastructure, DevOps, site reliability engineering, or cloud engineering.
Deep hands-on expertise with
AWS
services and architecture, including EKS, Lambda, ECS, IAM, S3, networking, security, and high-availability design, together with advanced
Terraform
experience.
Strong proficiency in
Python
; good familiarity with
.NET
.
Experience building or integrating
AI-driven agents, LLM-based tools, or intelligent automation
.
Proven experience owning production environments, including infrastructure changes, deployments, availability, observability, incident response, security, scalability, and operational maintenance.
Excellent collaboration and communication skills with both technical and non-technical partners.
A mindset geared toward
automation, scalability, and secure-by-default engineering
.
About the company:
A mobile payments and driver services platform providing turnkey parking solutions to local governments and parking operators. The company has accumulated millions of registered users and achieved widespread adoption in its home market, becoming a go-to app for parking payments and vehicle-related services.
By applying for this position, you agree to the terms outlined in our Privacy Policy. Please take a moment to review our Privacy Policy
https://sd-solutions.breezy.hr/privacy-notice
, and make sure you understand its contents. If you have any questions or concerns regarding our Privacy Policy, please feel free to contact us.
Location: Lugano, Switzerland
Workplace: remote
Join Tether and Shape the Future of Digital Finance
At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.
Innovate with Tether
Tether Finance:
Our innovative product suite features the world’s most trusted stablecoin,
USDT
, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.
But that’s just the beginning:
Tether Power:
Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.
Tether Data:
Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like
KEET
, our flagship app that redefines secure and private data sharing.
Tether Education
: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.
Tether Evolution
: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.
Why Join Us?
Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry.
If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.
Are you ready to be part of the future?
About the job
As a member of our AI research team, you will drive innovation in model compression and efficient deployment for advanced multimodal AI systems, including large language models (LLMs) and vision-language models (VLMs). Your work will focus on reducing model footprint and computational cost while preserving accuracy, enabling high-performance AI to run efficiently across resource-constrained edge devices. You will apply and advance compression techniques such as quantization, knowledge distillation, and pruning to streamline complex multimodal architectures that integrate text, images, and audio.
We expect you to have deep expertise in model compression methods and a strong background in multimodal model architectures. You will adopt a hands-on, research-driven approach to develop, test, and implement novel compression strategies that balance model size, latency, throughput, and accuracy. Your responsibilities include building robust compression pipelines, establishing performance and fidelity metrics, and addressing bottlenecks in production inference. The ultimate goal is to deliver scalable, low-memory, low-latency AI systems on edge devices (i.e., smartphones) that maintain high fidelity and tangible real-world value.
Responsibilities
Break down the key responsibilities in bullet points. It’s helpful to make them actionable and measurable. This could also be grouped into categories for more complex roles.
Apply low-bit quantization to reduce model size and inference latency for generative AI models (LLMs, VLMs, multimodal) while maintaining accuracy and output quality.
Leverage knowledge distillation to transfer capabilities from larger teacher models to smaller student models, enabling efficient multimodal reasoning across text, image, and audio inputs.
Implement pruning techniques to remove redundant parameters and attention heads, reducing computational overhead without sacrificing task performance.
Analyze trade-offs between model efficiency (size, latency, memory) and accuracy across quantization, distillation, and pruning methods; propose improvements based on empirical findings.
Research and apply mixed-precision quantization and other advanced compression strategies (e.g., adaptive pruning schedules, distillation with intermediate feature matching) to optimize the accuracy–performance balance.
Stay current with the latest research in model compression, including emerging techniques for multimodal and generative architectures.
Document methodologies, experiments, and results clearly to support reproducibility, internal collaboration, and stakeholder communication.
Author technical papers and publish findings in top-tier conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ACL, AAAI) to advance the field of model compression for multimodal AI.
List the qualifications, certifications, and experience needed for the role. You can split this into mandatory and preferred sections if needed.
A degree in Computer Science or related field. Ideally PhD in NLP, Machine Learning, or a related field, complemented by a solid track record in AI R&D (with good publications in A* conferences).
Experience with PyTorch deep learning frameworks or equivalent frameworks
Hands-on experience with model quantization including both Quantization-Aware Training (QAT) and Post-Training Quantization (PTQ).
Research and hands-on experience with knowledge distillation for compressing large models into smaller, efficient ones.
Research and hands-on experience with model pruning for compressing large models into smaller, efficient ones.
Solid understanding of neural network architectures and training processes – Including transformers (e.g., LLMs, VLMs), backpropagation, optimization, and fine-tuning techniques.
Familiarity with C++ is a plus (especially for implementing low-level quantization kernels or inference optimizations).
Important information for candidates
Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles:
Apply only through our official channels.
We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/
Verify the recruiter’s identity.
All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website.
Be cautious of unusual communication methods.
We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.
Double-check email addresses.
All communication from us will come from emails ending in
@
tether.to
or @
tether.io
We will never request payment or financial details.
If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.
When in doubt, feel free to reach out through our official website.
- Тестирование процесса декомпозиции монолитного приложения и переноса бизнес-функций в микросервисы; - Проверка сохранения поведения системы, API-контрактов, интеграций, миграции и обработки данных;
Развивать ядро платформы: фреймворк Data Vault, обвязку Airflow, lineage-инструменты — проектировать API, которыми будут пользоваться другие инженеры, и нести за них ответственность. Писать библиотеки и фреймворки на Python: клиенты к источникам, инструменты тестирования пайплайнов, обёртки над инфраструктурой.
Location: Paris; Amsterdam; Munich; London; Berlin
ABOUT MISTRAL
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
THE TEAM
Mistral is building a sovereign AI cloud for Europe. Our customers in finance, healthcare, and the public sector run frontier models on European-jurisdiction infrastructure, and the Cloud Platform team builds the systems that make that possible — compute orchestration, Kubernetes, bare metal, storage, networking, and the datacenter fleet that runs it all.
We run it all on our own metal, our own network, our own datacenters — which means when something breaks, the fix is ours to write.
European Compute Units let enterprises commit to multi-year capacity on that infrastructure, and we are scaling toward a gigawatt of compute across Europe by 2030. You will design and ship the layer every sovereign AI deployment depends on and shape the team building it.
THE ROLE
This is a people-leadership role from day one. You will manage the team — hiring, coaching, performance, growth paths, honest feedback — while staying close to the code: roughly half your time in architecture decisions and the hardest technical problems the team faces, the other half leading your squad. If you are looking for a senior IC role, this is not it.
You will lead the team building our serverless containers product: the way developers run AI apps, MCP servers, APIs, and managed workers on our cloud without thinking about servers. Push a container, get an endpoint, scale from zero to thousands of instances and back down — across CPU and GPU.
On a hyperscaler, the serverless layer is a product someone else built. Here you own it end to end: the scheduler that decides where a container lands, the routing path a request takes, the machinery that turns a scaled-to-zero service into a warm instance before a customer notices. All of it runs on metal, network, and datacenters we own.
That tension is the product: scale-to-zero economics with cold starts in milliseconds, autoscaling that absorbs a launch spike without a config change, GPUs scheduled onto containers the way other platforms schedule CPU. The customers betting on this layer are the developers building the next generation of AI software on European infrastructure.
WHAT YOU WILL DO
- Own the container platform end to end: image delivery, placement, request routing, scale-up, scale-to-zero — across CPU and GPU.
- Make cold starts a solved problem: snapshotting, prewarming, image-layer caching, whatever it takes for scale-from-zero to feel instant.
- Treat AI workloads as the normal case: GPU-backed containers, streaming responses, long-lived connections, MCP servers that cost almost nothing while idle.
- Write Go alongside your team and own the architecture and the hardest implementation decisions.
- Grow the engineers, not just the software — set the standard for ownership and coach people past their comfort zone.
- Own people management for the team: hiring, performance, growth paths, and honest feedback.
- Partner with Product Managers to turn platform decisions into a product developers want to deploy on.
WHAT WE'RE LOOKING FOR
- 2+ years of real people leadership. You have managed engineers — hired, coached, given honest feedback, and grown them. Hands-on contribution matters here, but this role is judged on the team you build and lead, not just the code you write.
- You have shipped production systems in Go. Not dabbled. Shipped.
- You have built container or workload platforms — orchestration, scheduling, isolation, request routing — not just deployed onto someone else's serverless platform.
- Deep Linux: namespaces, cgroups, image layers, page cache — comfortable well below the application layer.
- Multi-tenancy instincts: density, isolation, and fairness when hundreds of customers share one fleet.
- Significant experience building complex backend or infrastructure systems.
- You have partnered with product, design, and business teams to ship software that reached real users.
- A low-ego, team-first mindset. We care less about your exact domain and more about whether you are the kind of technical force other engineers want to work alongside.
WHAT WE OFFER
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link.
PRIVACY POLICY
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Location: Singapore, Singapore
OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa.
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.
OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves.
Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er.
OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.
About The Opportunity
We are looking for Mobile Engineers to join our Compliance engineering team. In this role, you will build secure, regulation-compliant, and high-trust mobile solutions that power global onboarding, identity verification, risk control, and regulatory compliance systems.
We are open to candidates across a wide spectrum of experience. Whether you are an engineer early in your career eager to master mobile security and regulatory technology, or a seasoned practitioner who can architect resilient systems and drive technical direction across global markets, you will find high impact and technical depth here. You should be self-driven, hungry to grow, and motivated by solving critical real-world engineering challenges.
What You'll Be Doing
Build, maintain, and scale native iOS features and user flows using Swift and modern iOS frameworks.
Collaborate with Product, Design, and Backend Engineering to translate functional requirements into smooth, responsive mobile experiences.
Integrate third-party SDKs, native frameworks, and hardware capabilities (such as camera APIs, biometrics, or local security features) with a focus on UX and performance.
Contribute to mobile client architecture, keeping the codebase modular, testable, and maintainable.
Participate in code reviews, testing, and continuous optimization to maintain high iOS engineering standards.
Leverage modern development tools and AI coding assistants to streamline your daily workflow and accelerate delivery.
Diagnose and fix edge cases, performance bottlenecks, and production bugs to ensure a rock-solid iOS app experience.
What We Look For In You
Hands-on native iOS engineering experience with
Swift, SwiftUI, and UIKit
.
Solid grasp of software engineering principles, memory management, multithreading, and mobile system design.
Experience integrating RESTful APIs into production iOS applications.
Commitment to writing clean, well-tested, and maintainable code.
Strong problem-solving mindset with a desire to build high-quality software.
Openness to using modern developer tools and AI coding assistants (e.g., Claude Code, Codex) in your everyday coding workflow.
Nice-To-Haves
Exposure to mobile CI/CD pipelines (e.g., Fastlane, GitHub Actions, Xcode Cloud).
Experience working with modular iOS architectures or building internal shared SDKs/frameworks.
Familiarity with unit testing frameworks (XCTest) and UI testing on iOS.
Experience with feature flagging, analytics, or A/B experimentation frameworks.
Perks & Benefits
Competitive total compensation package
L&D programs and Education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
#LI-ML1 #LI-ONSITE
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Задачи: Проводить ручное тестирование нового функционала и регрессионное тестирование, проверять исправления дефектов. Разрабатывать тест-кейсы, готовить тестовые данные, участвовать в разработке методики тестирования.
5+ лет коммерческого опыта с Python и реальный production-опыт разработки AI-агентов, LLM orchestration и RAG. Практический опыт с LangGraph / LangMem, Qdrant или аналогами.
Location: London
Workplace: Hybrid
ABOUT ELEVENLABS
ElevenLabs is an AI research and product company transforming how we interact with technology.
We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always.
We have expanded from voice into three main platforms:
- ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale.
- ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages.
- ElevenAPI gives developers access to our leading AI audio foundational models.
Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you.
HOW WE WORK
- High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.
- Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you.
- AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations.
- Excellence everywhere: Everything we do should match the quality of our AI models.
- Global team: We prioritize your talent, not your location.
WHAT WE OFFER
- Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible.
- Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities.
- Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend.
- Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose.
- Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy.
- Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend.
About the role
We're looking for a Data Scientist to take ownership of the datasets and evaluation workflows that underpin our AI Safety work. You'll turn real-world product data into reliable, well-structured datasets for training and evaluating models, and help build the processes and infrastructure to continuously assess how those models perform in production.
This is a hands-on role at the intersection of data science, ML, AI safety, and policy. You'll work closely with safety researchers, engineers, and policy specialists to translate complex safety requirements into practical data and evaluation systems - starting hands-on with collection, analysis, and labelling, then building the methodologies, contributor networks, and quality standards that let this work scale.
In this role, you will
- Own safety datasets end-to-end: collection, cleaning, labelling, quality control, versioning, and readiness for training and evaluation.
- Translate safety policy into clear, consistent labelling and evaluation criteria, working closely with policy specialists.
- Design and manage labelling processes, including sourcing, onboarding, and overseeing external contributors to a high quality bar.
- Build evaluation workflows for models in production, using real-world data to track performance and surface issues.
- Develop lightweight Python/SQL pipelines and tooling to make data work faster and reproducible, partnering with ML engineers on what "training-ready" looks like.
Who you are
- Experience as a Data Scientist, or similar, working with real-world datasets and ML models.
- Strong grasp of what makes a good dataset: collection, cleaning, sampling, labelling, quality control, evaluation.
- Comfortable with Python and SQL for analysis and practical data workflows.
- Strong critical thinking and judgement - comfortable with ambiguity and nuance, and able to turn complex guidelines into consistent, scalable decisions.
- Autonomous and a clear communicator, able to work across disciplines (policy, engineering, research) in a fast-moving, still-forming environment.
Bonus points
- Experience in AI safety, trust & safety, content moderation, or fraud/abuse detection.
- Experience building datasets or evaluation frameworks, or with adversarial/safety-focused ML.
- Experience managing human-in-the-loop labelling processes, dataset versioning, or ML pipeline tooling.
- Experience operationalising guidelines with policy or legal teams.
Location
This role is based in London, where you'll work closely with our AI Safety and Policy teams.
We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.
We’re looking for an experienced Data Engineer with strong Java/Scala, Apache Flink, and Kafka skills to build and optimize real-time data streaming solutions in an enterprise environment. 💼 4+ years of experience with Java/Scala, Flink (or Beam/Spark Streaming), and Kafka.
Задачи:
— проектировать, проверять и масштабировать структурное оборудование для роботизированных рук.
Требования:
— знание ASME, SolidWorks, FEA, Corrective Action, GD&T, Nx, CATIA, CAD.
Условия:
— работа в офисе в Сан-Хосе, Калифорния.
— зарплата от $120,000 до $250,000 в год.
leadParis; Amsterdam; Munich; London; Berlin; Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks
