Location: Remote - United Kingdom
Who we are
At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to
hundreds of thousands of businesses
and empower millions of developers worldwide to craft personalized customer experiences.
Our dedication to
remote-first work
, and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands.
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Hiring and how we work
We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions!
Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings.
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See yourself at Twilio
Join the team as Twilio’s next Presales Engineer, DACH.
About the job
This position is needed to enable our customers to build the future of communications. The Principal Presales Engineer is a critical part of the sales team focused on our both New Business and Strategic segments.
Twilio’s Principal Presales Engineers are responsible for delivering the Technical Win and best Product Fit to our customers. They lead the technical pre-sales relationship, drive technical discovery, propose technical architectures, demonstrate the product, anticipate concerns and offer creative solutions. They build customer trust in Twilio’s solutions.
Principal Presales Engineers should be comfortable engaging a CEO or sketching out an API flow on a whiteboard with customer software engineers.
Responsibilities
In this role, you’ll:
Partner with Account Executives to execute pre-sales activities including opportunity qualification, demonstrations, Proof-of-Concept, RFP, design documentation, technical presentations and enablement sessions.
Help customers achieve success by leading the technical and product sale, recommending best-practice solutions, and guiding them on how to use Twilio’s APIs.
Establish yourself as a trusted advisor to our customers, by taking the lead on understanding customer technical pains through discovery in order to design, demonstrate, and present innovative solutions that solve business challenges.
Build and present highly interactive, complex and engaging customer product demonstrations to help showcase the capabilities of Twilio’s Communications Products, while effectively forming strong customer relationships with both technical and nontechnical stakeholders
Be Hands-on, high-energy, passionate, and a creative problem solver, equipped with the knowledge of how to get things done and ability to lead others to success.
Take the initiative to identify and solve problems - both for the customer and within the organization as we grow
Contribute to the broader Twilio Presales Engineering community through knowledge sharing, constructing demonstration materials, and creating reusable presentations
Mentor less experienced Presales Engineers
Qualifications
Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!
*Required:
8+ years pre-sales experience selling complex, technical products or 10+ years of professional experience supporting technical products coupled with customer facing experience, particularly in delivery or consulting
Excellent communicator and presenter able to gain audience confidence
An engaging storyteller - you can gain audience confidence and communicate complex topics to multiple levels of audience.
Ability to build a deep understanding of a customer’s communications needs and guide them to a technical solution
Previous software development experience or working knowledge in one or more of the following areas:
Backend (Java, C#, Node.js, Python, PHP)
Web development (JavaScript, HTML/CSS, frontend frameworks - React, Vue.js, Angular)
Experience building with REST APIs
Previous experience in Telecom, SIP, Contact Center, or Security .
Experience with sales methodologies
Bachelor’s and/or Master’s degree in a technical discipline (Engineering, Mathematics, Computer Science) or equivalent practical experience
Proficient German speaker
Desired:
Familiarity with cloud platforms (Amazon Web Services, Google Cloud, Microsoft Azure) and cloud application architecture.
Experience working with customers in the DACH region
Location
This role will be remote and based in the UK, Ireland or Spain
Travel
We prioritize connection and opportunities to build relationships with our customers and each other. For this role, approximately 35% travel is anticipated to help you connect in-person in a meaningful way.
What We Offer
Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.
Twilio thinks big. Do you?
We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call
Twilio Magic
. Additionally, we empower employees to build
positive change in their communities
by supporting their volunteering and donation efforts.
So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for,
please consider other open positions.
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Stay alert to recruitment fraud
We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @
twilio.com
email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps.
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Twilio is proud to be an equal opportunity employer.
We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.
Location: Argentina
Workplace: Remote
Webflow is the agentic web marketing platform for modern marketing teams, helping organizations build, manage, and optimize high-performing web experiences that drive predictable growth and strengthen brand trust. Building at Webflow will need grit, because we move fast, without ever sacrificing craft or quality.
ABOUT THE ROLE
We’re looking for a Senior Infrastructure Engineer to improve reliability and stability of Webflow’s customer-facing, production infrastructure, serving millions of page views per hour. Our product is used by over 2 million users world-wide across 190 countries, and you’ll help ensure our platform is secure and scalable for these users as tens of thousands of projects are launched on Webflow each month.
- Location: Remote-first (Argentina)
- Permanent, full-time employee (this is not a contractor position)
- Application Information:
- Application deadline: applications accepted on an ongoing basis until position is closed and filled
- This posting is for a new position.
As an Senior Infrastructure Engineer you will:
- Own and evolve the cloud platform that Webflow's product and engineering teams depend on, including our compute layer, EKS fleet, serverless infrastructure, networking, and cloud operations across AWS and GCP.
- Help design and maintain our infrastructure-as-code foundation, evolving the patterns and shared components other teams build on.
- Design and maintain the networking layer that connects Webflow's services, ensuring reliability, security, and scalability across our cloud environments.
- Help make observability data the foundation of how we operate, improving the dashboards, alerts, and SLOs for the infrastructure you own so that issues are caught before customers notice, and on-call pages are actionable instead of noisy.
- Build and maintain AI-powered automation that improves how we manage cloud infrastructure, from policy-as-code and drift detection to LLM-assisted runbook generation.
- Help define the culture of this growing team as it expands its international presence.
ABOUT YOU
You’ll thrive as a Senior Infrastructure Engineer if you:
- Have a background as an infrastructure, site reliability engineer or cloud engineer with an enthusiasm for automation and code, or a background as a software engineer with deep enthusiasm for cloud infrastructure and distributed systems.
- Have 5+ years of experience owning and operating cloud infrastructure in a customer-facing environment that allows for little to no downtime.
- Have deep hands-on experience with AWS and a strong opinion on what good cloud operations look like.
- Have experience managing Kubernetes clusters at scale, including upgrades, node group management, autoscaling, and cluster add-on lifecycle.
- Have experience with infrastructure-as-code tools like Pulumi or Terraform, and a strong preference for changes made through code, not consoles.
- Have experience navigating multi-region or multi-cloud environments on AWS or GCP.
- Stay curious and open to growth, demonstrating a proactive embrace of AI, and actively building and applying fluency in emerging technologies to elevate how we work, drive faster outcomes, and expand collective impact.
It would be a bonus if you had even one of the following:
- Experience with Karpenter, cluster autoscaler, or other Kubernetes-native scaling tooling.
- Have experience with OpenTelemetry, Datadog, Prometheus or Grafana
- Experience building AI-assisted infrastructure tooling, including cost optimization loops, anomaly detection, or policy-as-code with LLM assistance.
- Experience contributing to multi-region architecture including data residency, regional failover, or latency-based routing.
You Are:
- Collaborative: You possess a collaborative spirit, thriving when working with both your immediate team and cross-functional partners.
- Strategic thinker: You're a strategic thinker, adept at defining clear business needs and evaluating solutions to make informed build-versus-buy decisions.
- Comfortable with ambiguity: You navigate ambiguous situations with ease, gathering data and making progress even with incomplete information or unclear requirements.
If you don’t meet 100% of the above qualifications, you should still seriously consider applying. Studies show that you can still be considered for a role if you meet just 50% of the role’s requirements.
OUR CORE BEHAVIORS
- Build lasting customer trust. We build trust by taking action that puts customer trust first.
- Win together. We play to win, and we win as one team. Success at Webflow isn't a solo act.
- Reinvent ourselves. We don't just improve what exists, we imagine what's possible.
- Own it all the way. We move fast because the moment demands it, and we hold ourselves accountable to deliver outcomes — for each other, and for customers.
BENEFITS
- Ownership in what you help build. Every permanent Webflower receives equity (RSUs) in our growing, privately held company.
- Health coverage that actually covers you. Comprehensive medical, dental, and vision plans for full-time employees and their dependents, with Webflow covering most premiums.
- Support for every stage of family life. 12 weeks of paid parental leave for all parents and 6+ weeks of additional paid leave for birthing parents. Plus inclusive care for family planning, menopause, and midlife transitions.
- Time off that’s actually off. Flexible vacation, paid holidays, and a sabbatical program to help you recharge and come back inspired.
- Wellness for the whole you. Access to mental health resources, therapy and coaching.
- Invest in your future. A 401(k) with 100% employer match (up to $6,000/year) in the U.S., and support for retirement savings globally.
- Monthly stipends that flex with your life. Localized support for work and wellness expenses — from Wi-Fi to workouts.
- Bonus for building together. All full-time, permanent, non-commission employees are eligible for our annual WIN bonus program.
Temporary employees may be eligible for paid holiday and time off, statutory leaves of absence, and company-sponsored medical benefits depending on their Fixed Term Contract and their country/state of employment.
BE YOU, WITH US
At Webflow, equality is a core tenet of our culture. We are an Equal Opportunity (EEO)/Veterans/Disabled Employer and are committed https://webflow.com/diversity-equity-inclusion to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. Employment decisions are made on the basis of job-related criteria without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by applicable law. Pursuant to the San Francisco Fair Chance Ordinance, Webflow will consider for employment qualified applicants with arrest and conviction records.
STAY CONNECTED
Not ready to apply, but want to be part of the Webflow community? Consider following our story on our Webflow Blog https://webflow.com/blog, LinkedIn https://www.linkedin.com/company/webflow-inc-/, X (Twitter) https://twitter.com/webflow, and/or Glassdoor https://www.glassdoor.com/Reviews/Webflow-Reviews-E890506.htm.
PLEASE NOTE:
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Upon interview scheduling, instructions for accommodation requests will be administered.
To join Webflow, you'll need a valid right to work authorization depending on the country of employment.
If you are extended an offer, that offer may be contingent upon your successful completion of a background check, which will be conducted in accordance with applicable laws. We may obtain one or more background screening reports about you, solely for employment purposes.
Webflow uses AI tools to assist in screening and evaluating applications. AI does not make final hiring decisions. For details on how we process your personal information, see Webflow’s Applicant Privacy Notice https://webflow.com/legal/applicant-privacy-notice.
Location: London
Workplace: Hybrid
Why Technology at loveholidays?
At loveholidays - we trailblaze together. We’re on a mission to open the world to everyone, giving our customers’ unlimited choice, unmatched ease and unmissable value for their next getaway. Our team is the driving force behind our role as our customers’ personal holiday expert - the smart way to get away.
Technology at loveholidays underpins our vision to become the most loved OTA in Europe. We drive cutting-edge innovation and technical excellence to futureproof the business. Our systems process trillions of daily holiday offers, we deploy over a thousand times a month, serving thousands of requests per second. This is where you can accelerate your growth by solving complex challenges and broadening your skillset.
Join us to create impact for our future in an exciting new chapter, owning your success and contributing to shared goals. We actively talk about technology https://tech.loveholidays.com/ and adhere to our key technology principles https://tech.loveholidays.com/the-5-principles-that-helped-scale-loveholidays-7ea0b0fd3df9 that have guided us this far. We are growing and have ambitious plans to expand across Europe, employing the best minds and technology to let us do this.
The impact you'll have:
Reporting to the CPO, you will build and own a capability that loveholidays has never had before: a dedicated function that connects market intelligence to proposition development, and proposition development to commercial outcomes.
This is a new role. You will define what the loveholidays proposition should look like over a three to five year horizon: what we sell, to whom and in which markets. You will own the process of getting new propositions to market, from first validation through to launch. And you will maintain the competitive edge of our existing proposition as we scale across Europe.
You will work at the intersection of commercial strategy, customer insight and platform delivery. Your ability to translate market understanding into clear requirements for product and engineering teams, and to drive cross-functional momentum behind launches, will be central to our growth.
Your day-to-day:
Product proposition pipeline
- Translate company strategy, our vision and competitive intelligence into clear proposition expansion opportunities
- Build a deep understanding of different customer segments: their needs, motivations and the perceived and real value of our proposition to them, getting hands on with research and experiencing the product to create deep empathy and knowledge and share that broadly across the business.
- Track competitor business model and proposition shifts alongside broader market trends, and bring that intelligence into the business in a way that influences decisions
- Build business cases for new products and segments; drive initial validation with user research, platform teams and commercial leads; champion them with the relevant exec and commercial leaders
- Define what the loveholidays proposition should look like over a three to five year horizon and translate that vision into clear proposition and experience requirements for platform and commercial teams
Go-to-market
- Own go-to-market for new products and segments, coordinating across commercial and platform teams to ensure everything is in place for launch
- Define the value position and segmentation approach for each launch
- Own the assessment of initial launch performance and drive the iterations required to hit product-market fit, before handing over to our core and international operating teams to trade independently
Your skillset:
- You have significant experience in product marketing, proposition development or a closely related discipline, ideally within a consumer-facing digital business.
- You are a strong strategic thinker: you can break down complex market dynamics and translate them into a clear, well-reasoned point of view that earns buy-in across the organisation.
- You understand customers at a level that goes beyond research decks. You know how to build real insight and how to apply it to proposition decisions.
- You are an exceptional communicator, written and verbal. You can make a complex argument simple and a simple argument compelling.
- You know how to work in a matrixed organisation. You lead through influence and build momentum behind things you don't directly control.
- You have a data-driven mindset. You bring evidence to your thinking and your strategies
- You are hands-on. You can move between setting direction and doing the work, depending on what the moment requires.
Perks of joining us:
- Company pension contributions at 5%.
- Individualised training budget for you to learn on the job and level yourself up.
- Discounted holidays for you, your family and friends.
- 25 days of holidays per annum (plus 8 public holidays) increases by 1 day for every second year of service, up to a maximum 30 days per annum.
- Ability to buy and sell annual leave.
- Cycle to work scheme, season ticket loan and eye care vouchers.
At loveholidays, we focus on developing an inclusive culture and environment that encourages personal growth and collective success. Each individual offers unique perspectives and ideas that increase the diversity and effectiveness of our teams. And we value the insight and potential you could bring on our continued journey.
The interview journey:
1. Intro to loveholidays with a member of the Talent team - 30 mins
2. 1st stage interview with CPO - 45 mins
3. 2nd stage - Culture and Values interview with CPO & CMO - 45-60 mins
4. Onsite Presentation - Present a product strategy case study to our CPO and other key stakeholders, followed by business stakeholder meets - 120 mins
Location: San Francisco, CA
Workplace: OnSite
ABOUT US
Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia.
We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do.
Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace.
The role
This is a foundational role on Sierra's Operations team, sitting at the intersection of marketing and GTM. As Marketing Operations and Analytics Lead, you'll own two things: the measurement infrastructure that connects marketing programs to pipeline and revenue; and the operational processes that make the marketing engine run efficiently and at scale.
What you'll do
- Full-funnel attribution: Design and own Sierra's marketing attribution framework, connecting campaigns, events, content, and demand gen programs to pipeline generation and ultimately LTC conversions.
- Pipeline analytics: Partner with Marketing and Sales to analyze pipegen by vertical, region, and segment. Track conversion rates at each stage and surface where marketing programs are—and aren't—generating high-quality opportunities.
- Performance reporting: Build and maintain the marketing team's core performance dashboards—campaign ROI, event pipeline influence, channel mix, lead quality, and funnel velocity.
- ICP & account intelligence: Develop data-driven ICP scoring and account prioritization models to focus marketing investment on segments with the highest win rates and ASPs. Integrate signals from first-party and third-party intent sources to keep targeting sharp.
- Experiment design & optimization: Design rigorous A/B and multivariate tests across marketing channels. Establish the statistical standards the team uses to evaluate new programs; translate results into clear, actionable recommendations—not just p-values.
- Lead management & routing: Define and maintain lead scoring models, MQL thresholds, and routing logic from first touch to Sales handoff. Partner with Sales to ensure lead quality, minimize friction, and continuously improve conversion from MQL to pipeline.
- Campaign operations: Own the operational infrastructure behind campaign execution—email programs, landing page workflows, event lead capture, and list management. Build processes that let the demand gen and events teams move quickly without creating data debt.
- Cross-functional partnership: Serve as the analytical and operational bridge between Marketing, GTM Ops, Finance, and Sales leadership—ensuring marketing metrics are aligned with company PG, POC, and ARR targets; contribute to quarterly business reviews (QBRs) and annual planning with marketing-specific performance analysis and forecasts
What you'll bring
- 12+ years spanning marketing analytics and marketing operations
- Deep expertise in attribution modeling, multi-touch funnel analysis, and pipeline/revenue measurement in long, multi-stage enterprise sales cycles
- Hands-on martech stack experience—marketing automation (Marketo, HubSpot, or similar), Salesforce, lead routing, and third-party enrichment tools
- Strong SQL skills; fluency working with large datasets in modern data stacks (ClickHouse, Snowflake, BigQuery, or similar)
- Proven ability to translate complex analyses into clear narratives for non-technical stakeholders, including C-suite executives
- High attention to detail and a strong point of view on what "good" looks like—you've built this infrastructure before and know where the landmines are
OUR VALUES
- Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.
- Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.
- Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.
- Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.
- Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.
WHAT WE OFFER
We want our benefits to reflect our values and offer the following to full-time employees:
- Flexible (unlimited) paid time off
- Medical, dental, and vision benefits for you and your family
- Life insurance and disability benefits
- Retirement plan dependent on country of employment
- Parental leave
- Fertility and family building benefits through Carrot
- Lunch, as well as delicious snacks and coffee to keep you energized
- Discretionary benefit stipend giving people the ability to spend where it matters most
- Free alphorn lessons
These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.
BE YOU, WITH US
We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
Location: Warsaw
Workplace: onsite
With multiple awards to our name, Larian Studios has proven that we’re dedicated to delivering high-quality role-playing games As we move on to new projects, the studio that brought you Baldur’s Gate 3 & Divinity: Original Sin 2 is looking for a Lead Tools Programmer to join the team and help us in crafting the high calibre games our fans have come to expect.
Responsibilities
Lead, mentor and coach members of the Tools team.
Support the Tools Director / Tools leadership in planning, prioritizing and delivering tools features.
Assist with recruiting, onboarding and developing Tools Programmers.
Manage code reviews, technical documentation and feature documentation for tools development.
Work closely with all teams to understand workflows and improve content creation pipelines.
Collaborate with Engine and Gameplay teams to help maintain, extend and improve our proprietary engine, editor, internal tools and development pipelines.
Design, implement and maintain user interfaces for internal development tools.
Identify workflow bottlenecks and propose practical, scalable solutions that improve team productivity.
Assist in maintaining a culture of unit testing, automation testing, documentation and technical ownership.
Support long-lived internal tools, including legacy systems and components.
Help ensure tools can support internal development needs and player-developer workflows such as modding.
Represent the Tools team in day-to-day communication with stakeholders and other departments.
Communicate openly and regularly with team members, leadership and end-users.
Show strong passion for improving developer productivity and enabling creative teams to build high-quality games efficiently.
Requirements
Demonstrable lead, associate lead experience within a tools, engine, editor or game development team.
7+ years of experience creating tools or technology for game development or digital content creation.
Shipped game titles.
Excellent C# and .NET skills for desktop applications.
Strong experience with WPF and XAML.
Thorough C++ knowledge.
Strong understanding of UI/UX principles and practical tool design.
Strong mentoring and coaching ability.
Ability to analyse and understand the workflows of other disciplines, including design, art, narrative, scripting or cinematics.
Experience working closely with end-users, gathering feedback and iterating on tools features.
Ability to drive feature development from start to finish, including planning, communication, implementation and delivery.
Open-minded attitude and willingness to iterate based on feedback.
Supportive communication style and passion for improving developer productivity.
Team-oriented mindset with a strong sense of ownership.
Advanced / Fluent written and spoken English.
Passion for making and playing great games.
This is a full-time, on-site role requiring presence in the office to support collaboration and creativity.
Nice to Haves
Familiarity with Python.
Experience developing DCC pipelines.
Experience writing plugins or tools for Maya, Blender or similar content creation software.
Experience with game modding workflows or releasing tools to player-developers.
Experience working with proprietary engines and editors.
Experience with automated testing for tools, editors or content pipelines.
Experience with performance profiling and optimization of editor workflows.
Experience collaborating with distributed or multi-location development teams.
What We Offer
An international team of over 600 employees spread across 7 studios around the world, each of which have their own unique qualities, and maintain a small-studio feel
An open, collaborative environment where ideas are welcome and encouraged
A managerial team consisting of highly experienced game developers at the top of their fields
Sharing hobbies and passions with like-minded colleagues
Inclusive environment with many activities organized by the studios or the employees
Commitment to making the best game possible for the fans, including listening to community feedback
Задачи:
— создание цифровых помощников для управления рисками инвестиционных портфелей в мультиагентной системе, анализирующей отчетность эмитентов, новостную повестку, судебные производства, котировки, кредитные рейтинги.
Требования:
— глубокое понимание архитектуры и принципов работы больших языковых моделей (LLM);
— опыт разработки и интеграции AI-агентов и multi-agent систем;
— понимание методов и алгоритмов машинного обучения и обработки естественного языка (NLP);
— опыт с RAG (retrieval-augmented generation) и Knowledge Graph;
— навыки prompt engineering;
— опыт с инструментами и фреймворками: LangChain, GigaChain, LangGraph, LangFlow, n8n, Flowise, OpenRouter, NeuroAPI, GigaChat, ChatGPT, DeepSeek, Qwen, Mistral;
— программирование на Python (приоритет); Java/Go/JavaScript — будет плюсом;
— разработка и интеграция backend-сервисов и WebUI для AI-решений;
— протоколы обмена данными: REST, WebSocket, JSON-RPC, gRPC;
— системы логирования, мониторинга и диагностики для AI-приложений;
— базовые DevOps и CI/CD практики;
— опыт реализации и сопровождения AI-агентов в production-средах;
— разработка приложений на базе LLM с использованием популярных open-source и коммерческих моделей;
— интеграция внешних данных (базы знаний, API) для расширения возможностей AI-агентов;
— построение кастомных пайплайнов обработки запросов и ответов;
— участие в проектах по оптимизации производительности и масштабируемости LLM-систем;
— командная разработка и взаимодействие с продуктовой и DevOps-командами.
Условия:
— удаленная работа;
— полная занятость;
— грейд middle+/senior;
— зарплата от 260 000 до 350 000 ₽ в месяц.
Требования:
- Опыт коммерческой разработки от 2–3 лет
- Уверенное владение TypeScript, React, Next.js
- Понимание клиент-серверного взаимодействия (REST / API)
- Опыт работы с UI-библиотеками и их кастомизации
- Понимание принципов компонентного подхода
- Опыт работы с системами контроля версий (Git)
- Базовое понимание работы Docker
Будет плюсом:
- Опыт работы с NX (монорепозитории)
- Опыт работы с Directus или другими headless CMS
- Настройка и использование Sentry
- Опыт интернационализации приложений
- Участие в pet-проектах или open source
Обязанности:
- Разработка и поддержка клиентской части web-приложений на React / Next.js
- Работа в монорепозитории (NX), переиспользование компонентов
- Проектирование и развитие UI-компонентов
- Интеграция с headless CMS (Directus) через REST / GraphQL
- Настройка и поддержка интернационализации (i18n, next-intl)
- Участие в код-ревью и улучшении качества кода
- Оптимизация производительности приложений
- Мониторинг и анализ ошибок через Sentry
- Работа с Docker-окружением (локальный запуск сервисов)
Технологический стек:
- JavaScript (ES2020+)
- TypeScript (обязателен, строгая типизация)
- React (Hooks, Context, композиция компонентов)
- Next.js (App Router, SSR / SSG / ISR)
- Styled-Components (CSS-in-JS)
- Ant Design (основная UI-библиотека)
- Material UI (дополнительно)
- i18n
- next-intl
- NX (монорепозиторий)
- Docker
- Sentry
- REST / GraphQL
- Directus (headless CMS)
Условия:
- Полностью удалённый формат работы
- Гибкое начало рабочего дня (в рамках 8 часов)
- Стабильную загрузку и понятные задачи
- Возможность влиять на архитектуру и решения
- Компенсацию обучения и развития
- Конкурентную заработную плату
Location: Warsaw, Poland
Are you looking for the next professional opportunity, that will challenge you and advance your career?
Join our team now!
Tickmill is looking to hire a
Head of Projects
to join our rapidly expanding team.
About Tickmill.
Tickmill is an award-winning, multi-regulated broker offering access to a broad range of asset classes, including CFDs on Forex, Stocks, Indices, Commodities, Cryptocurrencies, and Bonds, as well as Exchange Traded Derivatives such as Futures & Options.
Founded in 2014, the Tickmill Group employs over 330 professionals across offices in London, Cyprus, Poland, Estonia, Seychelles, and several other locations worldwide.
Our culture is built on trust, transparency, and high standards. We bring together ambitious professionals who thrive in an environment that supports growth, innovation, and excellence.
We offer competitive benefits packages, frequent team initiatives, and opportunities for professional development.
Join the Tigers!
What does the role look like?
The Head of Projects will have the opportunity to:
Lead and develop the Project managers team, establishing project governance frameworks, methodologies, and best practices across the organization.
Act as the right-hand person of the COO / CIO and assist with progressing and managing the team’s activities
Oversee the successful delivery of strategic projects and programs, ensuring alignment with business objectives, budgets, timelines, and resource availability.
Drive continuous improvement of project delivery standards, tools, and methodologies, with a strong focus on Agile and hybrid delivery models.
Provide leadership, mentoring, and performance management to Project Managers and cross-functional delivery teams.
Partner with senior leadership to translate strategic objectives into executable project roadmaps and measurable outcomes.
Establish and maintain executive-level reporting, ensuring transparency on project health, risks, dependencies, and resource utilization.
Manage relationships with key stakeholders, executive leadership, and third-party vendors to ensure successful project outcomes.
Foster a culture of accountability, collaboration, innovation, and delivery excellence across the organization.
What do you need to succeed in this role?
Minimum of 8 years’ experience in Project Management, with at least 3 years as a Head of Projects or similar role
Proven track record of managing complex project portfolios and leading cross-functional teams in technology-driven environments.
Experience within FinTech, Financial Services, Gaming or highly regulated industries is considered a strong advantage.
Excellent command of the English language, both written and verbal.
Strong expertise in project governance, portfolio management, resource planning, budgeting, and risk management.
Strong understanding of Software Development Life Cycle (SDLC) and technology project delivery.
Exceptional stakeholder management skills with the ability to influence and communicate effectively at executive and board level.
Experience with project management and collaboration tools such as Jira, Confluence or others
Ability to thrive in a fast-paced, dynamic, and high-growth environment while driving strategic change and operational excellence.
By joining us, you can expect:
Unique Opportunity for a career in a global, fast-growing company.
Attractive
remuneration package
based on qualifications and experience.
Opportunities to learn and grow through our “
Employee Training & Development program”.
Multiple
events
to bond with the team and the group through Quarterly/Semestrial Team Activities for all the Company.
Birthday and Loyalty
benefits
.
What to expect from our recruitment process:
First interview HR call
Second interview with CIO&COO
Final interview with the team
Make your next Career step and apply NOW!
*
Due to the great number of applications, we receive for each of our open vacancies, we are unable to respond on an individual basis
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the RL Teams
Our Reinforcement Learning teams play a critical role in advancing our AI systems. We've contributed to all Claude models, with significant impacts on the autonomy and coding capabilities of our latest Claude models. Our work spans several key areas:
Developing systems that enable models to use computers effectively
Advancing code generation through reinforcement learning
Pioneering fundamental RL research for large language models
Building scalable RL infrastructure and training methodologies
Enhancing model reasoning capabilities
We collaborate closely with Anthropic's alignment and frontier red teams to ensure our systems are both capable and safe. We partner with the applied production training team to bring research innovations into deployed models, and are dedicated to implement our research at scale. Our Reinforcement Learning teams sit at the intersection of cutting-edge research and engineering excellence, with a deep commitment to building high-quality, scalable systems that push the boundaries of what AI can accomplish.
About the Role
We're hiring for the Code RL team within the RL organization. As a Research Engineer, you'll advance our models' ability to write, edit, test, debug, and ship real software — end to end, on real codebases, with real tools — and to do it correctly, fast, and safely.
This role blends research and engineering. You'll design RL environments and coding tasks, build the reward signals and verifiers that capture what "good code" means, run training experiments on frontier models, diagnose why a model does (or doesn't) get better at a class of software-engineering work, and improve the speed and reliability of the pipelines that make all of that iterate fast. Code RL spans several focus areas — from agentic coding behaviors and code correctness, to long-horizon autonomous engineering, to high-performance code for accelerators — and we'll match you to the area where you'll have the most impact.
You may be a good fit if you:
Have strong software-engineering skills and deep Python expertise, including async/concurrent programming
Are comfortable owning systems end to end and debugging across the stack
Can balance research exploration with engineering implementation, and engage rigorously in shaping experimental design and interpreting results
Care about code quality, testing, and performance
Are passionate about the potential impact of AI and are committed to developing safe and beneficial systems
Strong candidates may also have:
Experience with reinforcement learning, RLHF, post-training, or LLM finetuning
Built coding agents, code-execution sandboxes, eval harnesses, verifiers, or developer tooling
Background in program analysis, testing, verification, compilers, or formal methods
Experience with PyTorch and large-scale distributed training; performance profiling and optimization of ML systems
CUDA / GPU or TPU kernel experience and accelerator-performance intuition
Experience with virtualization and sandboxed code execution environments
Related roles
If your background leans toward one of these areas specifically, you may also want to look at these postings:
Research Engineer, Performance RL (Reinforcement Learning)
— teaching Claude to write correct, fast code for accelerators
Research Engineer, Universes
— long-horizon, ultra-realistic agentic training environments
Research Engineer, Cybersecurity RL (Reinforcement Learning)
— RL for security-relevant coding capabilities
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$500,000
—
$850,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Home based - EMEA
Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office-based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.
The company is founder-led, profitable, and growing.
Canonical is growing its channel sales team to capitalize on rapidly growing demand from channel partners, leveraging their expertise and connections to bring open source technology to organizations across a multitude of industries.
The role requires a mix of both farming and hunting capabilities. The successful candidate will be responsible for achieving assigned annual growth quotas.
They should be able to identify, prospect, and engage reseller and distributor partners to build and maintain relationships and grow Canonical’s business within the assigned territory.
The successful candidate must be comfortable owning and leading initiatives in an unstructured, startup-like environment. This individual must be able to sell open source, cloud, virtualization, and technical software solutions.
Although the role is focused primarily on reseller and distributor channel partners, the successful candidate must be capable of and comfortable with initial customer discovery calls and presentations as appropriate.
The Role Entails
Develop and execute channel strategy for distributors and resellers within the assigned territory
Increase awareness of Canonical as a lead player in Open Source and Cloud (Private, Hybrid, Multi, and Public models)
Identify and recruit new potential partners in assigned territory
Leverage personal network and prospecting skills to engage new partners and build on Canonical’s already-successful relationships
Guide partners through onboarding and enablement
Develop mutually beneficial go-to-market plans and commitments with partners
Arrange and execute sales and pre sales trainings to these resellers
Drive and manage channel pipeline through recurring partner interactions
Support partner’s satisfaction and act as trusted advisor and point of contact
Maintain a regularity/frequency of contact with priority resellers and distributors.
What we are looking for in you
Bachelor's level degree, preferably in a technology field
Experience in software or technology sales from the specified market
Fluency in English
An understanding of open source, Linux and Ubuntu
A self starter with a proven track record of achieving sales targets
Detail oriented with strong follow-up skills
Effective negotiating skills with ability to close sales
Excellent interpersonal and presentation skills (written and verbal)
Productive in a globally distributed team through self-discipline and self-motivation
Mature approach to long-term relationship development with customers
The ability to represent the company at external events
Start-up experience would be an advantage
What we offer colleagues
We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.
Distributed work environment with twice-yearly team sprints in person
Personal learning and development budget of USD 2,000 per year
Annual compensation review
Recognition rewards
Annual holiday leave
Maternity and paternity leave
Employee Assistance Programme
Opportunity to travel to new locations to meet colleagues
Priority Pass, and travel upgrades for long haul company events
About Canonical
Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since its inception in 2004. Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game.
Canonical is an equal opportunity employer
We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products.
Whatever your identity, we will give your application fair consideration.
#LI-remote
Location: San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic is dedicated to developing AI assistants that are helpful, harmless, and honest. As usage of our AI services grows, we need to ensure they are not misused. The Safeguards team is at the forefront of protecting our users from the risks of powerful AIs as well as ethical, technical, and social risks from the use of generative AI. The Safeguards team at Anthropic builds protections for new AI features enabled by the research teams and protects new products and surfaces developed by our product teams. As a Product Manager for the Safeguards team at Anthropic, you will own the ideation, design, development and deployment of Safeguards systems and relevant product UX to ensure we are advancing frontier models safely to users across various cloud platforms. You will work closely with our research and product teams to develop detections, evals, interventions, and tools to measure and mitigate deployment and user risks.
We are looking for a product manager who is deeply committed to making AI safe and beneficial for humanity. You are aware of the risks and are committed to working with experts and coming up with ideas for Anthropic to implement. You have deep technical expertise in development, deployment and measurement of Safeguards systems. You thrive in rapidly moving and ambiguous environments.
Responsibilities:
Determine how to build in safety by design upstream and leverage downstream defenses for Anthropic’s frontier models, AI products, customers on different surfaces - Claude.ai, 1P API, external Cloud providers.
Ability to write safety evals and communicate externally about safety.
Drive impact via ruthless prioritization by clearly defining problems, solution options forward, clarity on both business & technical tradeoffs and accordingly clear requirements toward MVP vs. ideal state.
Align & collaborate with policy, enforcement, research, engineering and cross functional stakeholders.
Understand the AI landscape and ecosystem to plan for mitigation of deployment risks of increasingly powerful models and determined adversaries.
Lead the development of metrics to understand the area, performance, blindspots to help inform future project planning.
Minimum Qualifications
You may be a good fit if you have:
Ability to make technical tradeoff decisions; ideally with experience working across policy experts, AI/ML research engineers and software engineering teams to design and build state of the art safety systems.
Strong user understanding of how our products are used, their Safeguards concerns and how we provide the best solutions.
Demonstrated ability to build product and engineering strategy across multiple cross-functional teams for a rapidly changing space.
Demonstrated experience in designing and building metrics to evaluate risks, system performance, user impact and making crisp tradeoffs
Very strong ability to navigate, and prioritize amidst rapidly changing product specs, and to flex into different domains to bring clarity and execute.
Evidence of exercising judgment and decision making in ambiguous situations.
Planning, building, launching and measuring new products / systems in a zero to one environment.
Ability to clearly articulate complex technical concepts to non-technical audiences in written and verbal communication.
Think creatively about the risks and benefits of new technologies, and think beyond past checklists and playbooks.
Preferred Qualifications
5+ years in product management with a focus on fast problem understanding, building roadmaps with tractable progress, ability to get into the details on data, detection & interventions, infrastructure & tools, and/or evals.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$305,000
—
$385,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Bangalore, India
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 the AI model team, you will drive innovation in architecture development for cutting-edge models of various scales, including small, large, and multi-modal systems. Your work will enhance intelligence, improve efficiency, and introduce new capabilities to advance the field.
You will have a deep expertise in Large Language Model (LLM) and Multi-Modal architectures, a strong grasp of pre-training optimization, and a hands-on, research-driven approach. Your mission is to explore and implement novel techniques and algorithms that lead to groundbreaking advancements: multi-modal data curation and alignment, strengthening baselines, and identifying and resolving existing pre-training bottlenecks to push the limits of cross-modal AI performance.
Responsibilities
Large-Scale Pre-Training:
Conduct foundational pre-training for LLMs and Multi-Modal models (integrating text, vision, audio, or other modalities) on large, distributed servers equipped with multi-nodes & thousands of NVIDIA GPUs.
Architecture & Alignment Innovation:
Design, prototype, and scale innovative architectures, tokenizers, and cross-modal alignment layers to enhance model intelligence and multi-modal understanding.
Data Strategy:
Source, filter, and curate massive-scale textual and multi-modal datasets, establishing robust data pipelines for efficient pre-training.
Experimental Research:
Independently and collaboratively execute experiments, analyze results, and refine training methodologies for optimal performance and token efficiency.
Optimization & Debugging:
Investigate, debug, and eliminate bottlenecks in model efficiency, computational performance, and multi-modal alignment stability during long training runs.
System Scalability:
Contribute to the advancement of distributed training systems to ensure seamless scalability and hardware efficiency on target platforms.
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).
Hands-on experience contributing to large-scale LLM or Multi-Modal pre-training runs on large, distributed servers equipped with thousands of NVIDIA GPUs, ensuring scalability and impactful advancements in model performance.
Familiarity and practical experience with large-scale, distributed training frameworks, libraries and tools.
Deep knowledge of state-of-the-art transformer and non-transformer modifications aimed at enhancing intelligence, efficiency and scalability.
Strong expertise in PyTorch and Hugging Face libraries with practical experience in model development, continual pretraining, and deployment.
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.
Location: Brussels, Belgium
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 the AI model team, you will drive innovation in architecture development for cutting-edge models of various scales, including small, large, and multi-modal systems. Your work will enhance intelligence, improve efficiency, and introduce new capabilities to advance the field.
You will have a deep expertise in Large Language Model (LLM) and Multi-Modal architectures, a strong grasp of pre-training optimization, and a hands-on, research-driven approach. Your mission is to explore and implement novel techniques and algorithms that lead to groundbreaking advancements: multi-modal data curation and alignment, strengthening baselines, and identifying and resolving existing pre-training bottlenecks to push the limits of cross-modal AI performance.
Responsibilities
Large-Scale Pre-Training:
Conduct foundational pre-training for LLMs and Multi-Modal models (integrating text, vision, audio, or other modalities) on large, distributed servers equipped with multi-nodes & thousands of NVIDIA GPUs.
Architecture & Alignment Innovation:
Design, prototype, and scale innovative architectures, tokenizers, and cross-modal alignment layers to enhance model intelligence and multi-modal understanding.
Data Strategy:
Source, filter, and curate massive-scale textual and multi-modal datasets, establishing robust data pipelines for efficient pre-training.
Experimental Research:
Independently and collaboratively execute experiments, analyze results, and refine training methodologies for optimal performance and token efficiency.
Optimization & Debugging:
Investigate, debug, and eliminate bottlenecks in model efficiency, computational performance, and multi-modal alignment stability during long training runs.
System Scalability:
Contribute to the advancement of distributed training systems to ensure seamless scalability and hardware efficiency on target platforms.
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).
Hands-on experience contributing to large-scale LLM or Multi-Modal pre-training runs on large, distributed servers equipped with thousands of NVIDIA GPUs, ensuring scalability and impactful advancements in model performance.
Familiarity and practical experience with large-scale, distributed training frameworks, libraries and tools.
Deep knowledge of state-of-the-art transformer and non-transformer modifications aimed at enhancing intelligence, efficiency and scalability.
Strong expertise in PyTorch and Hugging Face libraries with practical experience in model development, continual pretraining, and deployment.
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.
Location: Dubai, United Arab Emirates
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 the AI model team, you will drive innovation in architecture development for cutting-edge models of various scales, including small, large, and multi-modal systems. Your work will enhance intelligence, improve efficiency, and introduce new capabilities to advance the field.
You will have a deep expertise in Large Language Model (LLM) and Multi-Modal architectures, a strong grasp of pre-training optimization, and a hands-on, research-driven approach. Your mission is to explore and implement novel techniques and algorithms that lead to groundbreaking advancements: multi-modal data curation and alignment, strengthening baselines, and identifying and resolving existing pre-training bottlenecks to push the limits of cross-modal AI performance.
Responsibilities
Large-Scale Pre-Training:
Conduct foundational pre-training for LLMs and Multi-Modal models (integrating text, vision, audio, or other modalities) on large, distributed servers equipped with multi-nodes & thousands of NVIDIA GPUs.
Architecture & Alignment Innovation:
Design, prototype, and scale innovative architectures, tokenizers, and cross-modal alignment layers to enhance model intelligence and multi-modal understanding.
Data Strategy:
Source, filter, and curate massive-scale textual and multi-modal datasets, establishing robust data pipelines for efficient pre-training.
Experimental Research:
Independently and collaboratively execute experiments, analyze results, and refine training methodologies for optimal performance and token efficiency.
Optimization & Debugging:
Investigate, debug, and eliminate bottlenecks in model efficiency, computational performance, and multi-modal alignment stability during long training runs.
System Scalability:
Contribute to the advancement of distributed training systems to ensure seamless scalability and hardware efficiency on target platforms.
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).
Hands-on experience contributing to large-scale LLM or Multi-Modal pre-training runs on large, distributed servers equipped with thousands of NVIDIA GPUs, ensuring scalability and impactful advancements in model performance.
Familiarity and practical experience with large-scale, distributed training frameworks, libraries and tools.
Deep knowledge of state-of-the-art transformer and non-transformer modifications aimed at enhancing intelligence, efficiency and scalability.
Strong expertise in PyTorch and Hugging Face libraries with practical experience in model development, continual pretraining, and deployment.
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.
Location: Madrid, Spain
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 the AI model team, you will drive innovation in architecture development for cutting-edge models of various scales, including small, large, and multi-modal systems. Your work will enhance intelligence, improve efficiency, and introduce new capabilities to advance the field.
You will have a deep expertise in Large Language Model (LLM) and Multi-Modal architectures, a strong grasp of pre-training optimization, and a hands-on, research-driven approach. Your mission is to explore and implement novel techniques and algorithms that lead to groundbreaking advancements: multi-modal data curation and alignment, strengthening baselines, and identifying and resolving existing pre-training bottlenecks to push the limits of cross-modal AI performance.
Responsibilities
Large-Scale Pre-Training:
Conduct foundational pre-training for LLMs and Multi-Modal models (integrating text, vision, audio, or other modalities) on large, distributed servers equipped with multi-nodes & thousands of NVIDIA GPUs.
Architecture & Alignment Innovation:
Design, prototype, and scale innovative architectures, tokenizers, and cross-modal alignment layers to enhance model intelligence and multi-modal understanding.
Data Strategy:
Source, filter, and curate massive-scale textual and multi-modal datasets, establishing robust data pipelines for efficient pre-training.
Experimental Research:
Independently and collaboratively execute experiments, analyze results, and refine training methodologies for optimal performance and token efficiency.
Optimization & Debugging:
Investigate, debug, and eliminate bottlenecks in model efficiency, computational performance, and multi-modal alignment stability during long training runs.
System Scalability:
Contribute to the advancement of distributed training systems to ensure seamless scalability and hardware efficiency on target platforms.
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).
Hands-on experience contributing to large-scale LLM or Multi-Modal pre-training runs on large, distributed servers equipped with thousands of NVIDIA GPUs, ensuring scalability and impactful advancements in model performance.
Familiarity and practical experience with large-scale, distributed training frameworks, libraries and tools.
Deep knowledge of state-of-the-art transformer and non-transformer modifications aimed at enhancing intelligence, efficiency and scalability.
Strong expertise in PyTorch and Hugging Face libraries with practical experience in model development, continual pretraining, and deployment.
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.
Location: Dublin, Ireland
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 the AI model team, you will drive innovation in architecture development for cutting-edge models of various scales, including small, large, and multi-modal systems. Your work will enhance intelligence, improve efficiency, and introduce new capabilities to advance the field.
You will have a deep expertise in Large Language Model (LLM) and Multi-Modal architectures, a strong grasp of pre-training optimization, and a hands-on, research-driven approach. Your mission is to explore and implement novel techniques and algorithms that lead to groundbreaking advancements: multi-modal data curation and alignment, strengthening baselines, and identifying and resolving existing pre-training bottlenecks to push the limits of cross-modal AI performance.
Responsibilities
Large-Scale Pre-Training:
Conduct foundational pre-training for LLMs and Multi-Modal models (integrating text, vision, audio, or other modalities) on large, distributed servers equipped with multi-nodes & thousands of NVIDIA GPUs.
Architecture & Alignment Innovation:
Design, prototype, and scale innovative architectures, tokenizers, and cross-modal alignment layers to enhance model intelligence and multi-modal understanding.
Data Strategy:
Source, filter, and curate massive-scale textual and multi-modal datasets, establishing robust data pipelines for efficient pre-training.
Experimental Research:
Independently and collaboratively execute experiments, analyze results, and refine training methodologies for optimal performance and token efficiency.
Optimization & Debugging:
Investigate, debug, and eliminate bottlenecks in model efficiency, computational performance, and multi-modal alignment stability during long training runs.
System Scalability:
Contribute to the advancement of distributed training systems to ensure seamless scalability and hardware efficiency on target platforms.
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).
Hands-on experience contributing to large-scale LLM or Multi-Modal pre-training runs on large, distributed servers equipped with thousands of NVIDIA GPUs, ensuring scalability and impactful advancements in model performance.
Familiarity and practical experience with large-scale, distributed training frameworks, libraries and tools.
Deep knowledge of state-of-the-art transformer and non-transformer modifications aimed at enhancing intelligence, efficiency and scalability.
Strong expertise in PyTorch and Hugging Face libraries with practical experience in model development, continual pretraining, and deployment.
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.
Location: London, United Kingdom
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 the AI model team, you will drive innovation in architecture development for cutting-edge models of various scales, including small, large, and multi-modal systems. Your work will enhance intelligence, improve efficiency, and introduce new capabilities to advance the field.
You will have a deep expertise in Large Language Model (LLM) and Multi-Modal architectures, a strong grasp of pre-training optimization, and a hands-on, research-driven approach. Your mission is to explore and implement novel techniques and algorithms that lead to groundbreaking advancements: multi-modal data curation and alignment, strengthening baselines, and identifying and resolving existing pre-training bottlenecks to push the limits of cross-modal AI performance.
Responsibilities
Large-Scale Pre-Training:
Conduct foundational pre-training for LLMs and Multi-Modal models (integrating text, vision, audio, or other modalities) on large, distributed servers equipped with multi-nodes & thousands of NVIDIA GPUs.
Architecture & Alignment Innovation:
Design, prototype, and scale innovative architectures, tokenizers, and cross-modal alignment layers to enhance model intelligence and multi-modal understanding.
Data Strategy:
Source, filter, and curate massive-scale textual and multi-modal datasets, establishing robust data pipelines for efficient pre-training.
Experimental Research:
Independently and collaboratively execute experiments, analyze results, and refine training methodologies for optimal performance and token efficiency.
Optimization & Debugging:
Investigate, debug, and eliminate bottlenecks in model efficiency, computational performance, and multi-modal alignment stability during long training runs.
System Scalability:
Contribute to the advancement of distributed training systems to ensure seamless scalability and hardware efficiency on target platforms.
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).
Hands-on experience contributing to large-scale LLM or Multi-Modal pre-training runs on large, distributed servers equipped with thousands of NVIDIA GPUs, ensuring scalability and impactful advancements in model performance.
Familiarity and practical experience with large-scale, distributed training frameworks, libraries and tools.
Deep knowledge of state-of-the-art transformer and non-transformer modifications aimed at enhancing intelligence, efficiency and scalability.
Strong expertise in PyTorch and Hugging Face libraries with practical experience in model development, continual pretraining, and deployment.
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.
УдалённоseniorArgentina
ГибридheadLondon
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
