Location: Remote - United States
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
Nebius operates large-scale, mission-critical bare-metal infrastructure. As a Software Engineer (Python), you will design and build systems that provision, configure, test, and manage physical hardware at scale. Your work will sit close to the metal—interfacing directly with servers, networks, and management controllers—while supporting highly automated, reliable infrastructure operations.
You will collaborate closely with hardware, networking, and data center operations teams to ensure our platforms are robust, scalable, and production ready.
Your responsibilities will include:
Design and develop backend services and automation in Python
Build and maintain systems for hardware provisioning, testing, and lifecycle management
Develop software that runs directly on bare-metal environments
Integrate with Linux systems, using Bash and low-level tooling where needed
Implement and maintain CI/CD pipelines for infrastructure-focused software
Work with networking services including IPv4/IPv6, DHCP, DNS, network boot, and server boot workflows
Interface with BMC controllers and management protocols (IPMI-style protocols, HTTP-based standards)
Enable reliable hardware interaction and automation across large fleets
Support ARM64 / ARM64EC architectures
Design and integrate NoSQL data stores for system state and orchestration data
Write clear documentation and contribute to operational excellence
What we expect you to have:
Strong professional experience as a software engineer, with a focus on Python
Solid experience with Linux systems and shell scripting
Hands-on experience working with bare-metal servers or low-level infrastructure Strong understanding of networking fundamentals (IPv4/IPv6, DHCP, DNS, PXE / network boot)
Experience interacting with hardware management interfaces (BMC, IPMI-like protocols, HTTP APIs)
Familiarity with CI/CD systems and production deployment workflows
Experience designing or working with NoSQL databases
Ability to debug complex issues spanning software, hardware, and networks
Strong ownership mindset and clear communication skills in a distributed team
It will be an added bonus if you have:
Experience operating or building systems for large-scale infrastructure
Familiarity with ARM-based platforms in production environments
Background in hardware testing, validation, or factory provisioning
Experience with infrastructure automation or internal platform tooling
Contributions to open-source or internal systems software projects
Working conditions:
Fully remote position (United States)
Collaboration with globally distributed engineering and operations teams
Key employee benefits:
Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families
401(k) plan: up to 4% company match with immediate vesting
Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers
Remote work reimbursement: up to $85/month for mobile and internet
Disability & life insurance: company-paid short-term, long-term, and life insurance coverage
Compensation
We offer competitive salaries, ranging from $150k- $210k base equity + quarterly performance bonuses.
Join Nebius today and help build the software that powers the next generation of
AI infrastructure.
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: Bremen, Germany
Our mission
Constructor’s mission is to enable all educational organisations to provide high-quality digital education to 10x people with 10x efficiency.
With strong expertise in machine intelligence and data science, Constructor’s all-in-one platform for education and research addresses today’s pressing educational challenges: access inequality, tech clutter, and low engagement of students.
Please send your resume in English only.
Interns are NOT eligible for equipment and other benefits as the position is temporary.
With this internship, the Frontend Engineering Intern will get full integration into the frontend development team, and he will try a full development cycle.
Duties & Responsibilities:
Collaborate with cross-functional teams to understand and translate project requirements into responsive and engaging user interfaces.
Develop and maintain frontend components using modern web technologies such as HTML5, CSS3, and JavaScript (ES6+).
Implement efficient and reusable frontend systems and libraries for future use.
Optimize web applications for maximum speed and scalability.
Conduct thorough testing of frontend code to ensure high quality and performance.
Stay updated on the latest trends and best practices in frontend development.
Assist in troubleshooting and debugging frontend issues as they arise.
Participate in code reviews to provide feedback and maintain code quality standards.
Qualifications & Experience:
Pursuing a degree in Computer Science, Software Engineering, or a related field.
Strong understanding of web fundamentals including HTML, CSS, and JavaScript.
Familiarity with frontend frameworks such as React, Vue.js, or Angular.
Experience with version control systems, preferably Git.
Basic knowledge of web performance optimization techniques.
Excellent problem-solving skills and attention to detail.
Ability to work effectively in a team environment and communicate technical concepts clearly.
Passion for learning and staying updated on emerging technologies.
What We Offer For Interns:
Internship Duration: from 2 months or more
Type of internship:
100% remote
or hybrid
in the office in Bremen (GER), Sofia (BG), Belgrade (SRB), Istanbul (TR), Sakarya (TR), Singapore (SGD)
What We Offer
💻 Choice of work equipment (e.g., laptop, monitor, etc.)
🇬🇧 English classes (iTalki – $130 monthly)
⏰ Flexible schedule (we usually work between 09:00/10:00 and 18:00/19:00)
👶 Newborn bonus (€500 per child)
🧠 Patent remuneration
🌴 Paid leave
🧑💻 Remote work in locations without our offices
Hybrid work in locations with offices (2 days in-office, 3 days remote)
Constructor
fosters equal opportunity for people of all backgrounds and identities. We are led by a gender-balanced board committed to building a diverse and inclusive organisation where everyone can become their best self. We do not discriminate based on age, disability, gender identity, sexual orientation, ethnicity, race, religion or belief, parental and family status, or other protected characteristics. We welcome applications from women, men and non-binary candidates of all ethnicities and socio-economic backgrounds. We encourage people belonging to underrepresented groups to apply.
Location: Bremen, Germany
Our mission
Constructor’s mission is to enable all educational organisations to provide high-quality digital education to 10x people with 10x efficiency.
With strong expertise in machine intelligence and data science, Constructor’s all-in-one platform for education and research addresses today’s pressing educational challenges: access inequality, tech clutter, and low engagement of students.
Please send your resume in English only.
Interns are NOT eligible for equipment and other benefits as the position is temporary.
About the Role
We’re seeking a motivated
Computer Science student
to join our backend engineering team as a
C# Backend Developer Intern
. This is an excellent opportunity to learn backend development while working on real-world educational platforms that support learners, educators, and institutions worldwide.
Interns are NOT eligible for equipment and other benefits as the position is temporary.
What You’ll Learn & Do:
Learn backend development using C# and .NET
Contribute to real backend services used in production
Assist in developing and maintaining REST APIs
Work with databases and learn how data is modelled and accessed
Participate in code reviews and learn clean coding best practices
Collaborate with frontend, QA, and product teams
Contribute to backend services supporting learning platform functionality and various integrations
Gain exposure to the full software development lifecycle
Required Qualifications:
Current
Computer Science / Software Engineering student
Experience with
at least one programming language
(C#, Java, Python, JavaScript, C++, or similar)
Basic understanding of object-oriented programming concepts
Interest in backend development and distributed systems
Good problem-solving skills and attention to detail
Ability to work collaboratively in a team environment
Eagerness to learn and grow as a software engineer
Good to Have (but not required):
Basic knowledge of
C# and .NET
Familiarity with
RESTful APIs
Introductory understanding of databases (
SQL
or NoSQL)
Experience using
Git
or other version control systems
Basic knowledge of HTTP, JSON, and web concepts
Interest in educational technology (EdTech)
What We’ll Teach You:
C# and modern .NET backend development
Designing and implementing REST APIs
Working with databases and data access layers
Clean code and basic backend architecture principles
Debugging, testing, and performance basics
Collaboration in an Agile engineering environment
How production backend systems are built and maintained
Technology Stack You’ll Work With:
Programming:
C#, .NET 9.0
Backend:
ASP.NET Core
Messaging & Events:
Apache Kafka
Databases:
PostgreSQL
Tools:
Git, CI/CD pipelines, logging & monitoring tools
Testing:
Unit and integration testing
Learning Opportunities:
Mentorship from experienced backend developers
Exposure to scalable backend architectures
Hands-on experience with real production systems
Understanding how backend services support large platforms
Contribution to products used by students and educators globally
What We Offer For Interns:
Internship Duration: from 2 months or more
Type of internship:
100% remote
or hybrid
in the office in Bremen (GER), Sofia (BG), Belgrade (SRB), Istanbul (TR), Sakarya (TR), Singapore (SGD)
What We Offer
💻 Choice of work equipment (e.g., laptop, monitor, etc.)
🇬🇧 English classes (iTalki – $130 monthly)
⏰ Flexible schedule (we usually work between 09:00/10:00 and 18:00/19:00)
👶 Newborn bonus (€500 per child)
🧠 Patent remuneration
🌴 Paid leave
🧑💻 Remote work in locations without our offices
Hybrid work in locations with offices (2 days in-office, 3 days remote)
Constructor
fosters equal opportunity for people of all backgrounds and identities. We are led by a gender-balanced board committed to building a diverse and inclusive organisation where everyone can become their best self. We do not discriminate based on age, disability, gender identity, sexual orientation, ethnicity, race, religion or belief, parental and family status, or other protected characteristics. We welcome applications from women, men and non-binary candidates of all ethnicities and socio-economic backgrounds. We encourage people belonging to underrepresented groups to apply.
Location: Palo Alto, California
About Workato
Workato is the leading Control and Execution Platform for Enterprise AI — the neutral platform enterprises trust to put AI to work across their business. Workato unifies data, applications, and processes into a single platform so AI can reliably orchestrate business processes in production at enterprise scale. Built on more than a decade of running mission-critical processes for over half the Fortune 500 — including Nasdaq, Amazon, Cisco, Vodafone, Atlassian, and Lucid Motors — Workato turns over 14,000 enterprise systems AI needs to act on into one governed execution layer. For more information, visit
workato.com
.
Why join us?
Ultimately, Workato believes in fostering a
flexible, trust-oriented culture that empowers everyone to take full ownership of their roles
. We are driven by
innovation
and looking for
team players
who want to actively build our company.
But, we also believe in
balancing productivity with self-care
. That’s why we offer all of our employees a vibrant and dynamic work environment
along with a multitude of benefits
they can enjoy inside and outside of their work lives.
If this sounds right up your alley, please submit an application. We look forward to getting to know you!
Also, feel free to check out why:
Business Insider
named us an “enterprise startup to bet your career on”
Forbes’ Cloud 100
recognized us as one of the top 100 private cloud companies in the world
Deloitte Tech Fast 500
ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America
Quartz
ranked us the #1 best company for remote workers
Responsibilities
You’ll lead Analytics Engineering and Product Analytics at Workato. Your team will help us understand how enterprises adopt AI and orchestration, where promising projects stall, and what changes when customers expand from one successful deployment to many. You’ll work directly with Product leadership, guide the engineers who make usage data reliable, and develop the analysts who turn that data into decisions and original industry research.
What you’ll own
Data strategy and delivery
Set the strategy, roadmap, priorities, and capacity plan for both teams. Balance investments in shared data foundations with time-sensitive product decisions and investigations the team initiates.
Define who owns product instrumentation, pipelines, datasets, metrics, and analysis. Agree with Product and Engineering on handoffs and who makes technical and analytical decisions.
Turn major requests into scoped initiatives with owners, milestones, and success criteria. Resolve dependencies across Product, Engineering, Infrastructure, and Security. Bring progress, risks, and resource trade-offs to leadership early enough to act.
People and organization
Own hiring, onboarding, performance management, and workforce planning. Identify the skills and leadership capacity the organization needs as Workato’s portfolio grows.
Set clear expectations and career paths for managers, analytics engineers, and product analysts. Give engineers ownership of architecture and reliability. Coach analysts to frame a question, challenge an assumption, and defend a recommendation with evidence.
Analytics engineering and the data platform
Lead the engineering work to collect, model, transform, and curate product usage data. Deliver analytics-ready datasets that connect builder activity, workspaces, customer accounts, deployments, and production workloads.
Partner with senior engineers on architecture, orchestration, and tooling. Weigh scalability, maintainability, cost, and delivery speed when deciding whether to extend a data model, build a pipeline, or change the platform.
Establish standards for automated testing, CI/CD, documentation, lineage, and pipeline monitoring. Give critical datasets an owner and a way to detect stale, missing, or incorrect data before it affects a decision.
Product analytics and experimentation
Bring analysts into roadmap discussions while options are open. Understand the choices a product leader faces, test competing explanations, and identify what evidence would change the recommendation.
Define measurement during feature planning. Agree with PMs and engineers on the intended customer outcome, what telemetry to capture, who will implement it, and how to validate it before launch. Review the results after release.
Measure activation, engagement, retention, and expansion. Show whether growth comes from more customers reaching production, more business processes per customer, or greater volume in existing workloads. Each finding points to a different product decision.
Lead experiment design and interpretation. Define hypotheses, success metrics, and guardrails. Use funnels, cohorts, A/B tests, and holdouts where appropriate. Explain what the team can conclude when enterprise sample sizes are small.
Match the analysis to the stage of the product. Identify early signs of customer value for new offerings. Forecast adoption and growth for established products. Recommend where to invest, what to change, and when to measure again.
Metrics, self-service, and AI-assisted analytics
Publish a shared catalog of product and business metrics. Document each metric’s definition, calculation, source, and owner. Verify that the data platform, dashboards, and reports implement it consistently.
Give analysts and business teams governed datasets and reusable tools for reporting, experimentation, and advanced analysis. Make recurring questions easy to answer without a new engineering request.
Develop AI-assisted analytics that can monitor metrics, investigate changes, and explain findings. Ensure answers respect access permissions and let users verify the source and calculation.
Data culture and industry research
Establish regular reviews where Product, Sales, and Customer Success discuss a usage pattern, decide what to do, and return to see whether it worked. Help field teams use those findings to address adoption barriers and identify expansion opportunities.
Lead original research for the
Workato Automation Index
and industry briefings. Use aggregated usage data to examine which processes enterprises automate, who builds them, and where AI is moving into production. Test emerging trends against customer and market evidence, then partner with Marketing and Analyst Relations to publish findings the industry can use.
Requirements
What you bring
10+ years in analytics, data science, or a related quantitative field
, including experience leading senior practitioners, developing managers, and scaling teams.
Data engineering and modeling expertise.
You can review SQL and architecture decisions and guide teams working with cloud warehouses, transformation frameworks, and orchestration tools such as Snowflake and dbt.
Data cataloging and governance experience.
You’ve used Atlan or comparable tools to document ownership and lineage, govern access, and make trusted datasets discoverable.
B2B product and analytical judgment.
You know how to use behavioral analysis, forecasting, experimentation, and causal inference to guide a decision. You can explain a decision your team changed and what happened afterward.
Cross-functional leadership.
You’ve delivered work where teams share ownership of data and infrastructure. You can resolve dependencies, negotiate priorities, and explain trade-offs to engineers and executives.
Practical AI fluency.
You use AI to investigate questions and verify findings. Experience building analytics agents or governed self-service data products is a plus.
What success looks like
Priority launches ship with validated telemetry. In post-launch reviews, PMs can show who reached the intended outcome, where adoption stalled, and what they will change.
Product and field teams can answer recurring questions from shared datasets. They spend less time reconciling definitions or waiting for custom queries.
Engineers own reliable data assets. Analysts spend more time investigating behavior and testing hypotheses. Both teams have clear priorities, career paths, and a leader who resolves cross-functional trade-offs.
Product leaders seek the team’s perspective before committing to investments. Sales and Customer Success use its findings in customer conversations. Workato publishes original research that helps customers, partners, and analysts understand how enterprise AI and automation are evolving.
(REQ ID: 2538)
Location: Jinan, China; Beijing, China
Workplace: remote
About Welo Life Sciences
Welo Life Sciences, a Welo Global brand, is a specialized language and technology partner serving pharmaceutical, CRO, and medical device organizations operating in regulated global markets. We deliver regulator-ready translation, linguistic validation, and localization solutions that support clinical trials, pharmacovigilance, regulatory affairs, labeling, and global commercialization. Our approach combines subject matter expertise with ISO-certified quality processes and technology-enabled workflows designed to integrate seamlessly into life sciences operations. With extensive experience supporting global product development and post-market requirements, Welo Life Sciences helps organizations accelerate timelines, protect data integrity, and maintain compliance across languages and regions. All solutions are delivered within a secure, audit-ready framework supported by seven ISO certifications. welolifesciences.com
This role involves managing translation and copy-editing tasks, ensuring high-quality linguistic deliverables for assigned projects or accounts. Responsibilities include coordinating freelancers, maintaining language resources, resolving terminology queries, and collaborating with clients and internal teams to enhance workflow efficiency.
This is a key position that requires a strong background in Life Sciences translation, with a focus on clinical research documents (clinical trial protocols, patient information sheets/informed consent forms, investigational medicinal product dossiers (IMPD), investigational drug labels, patient recruitment materials, etc.).
This role works closely with Quality, Program Squads, Talent, Simplified Chinese suppliers, and other stakeholders to provide precise language support for life sciences and more specifically clinical research-related matters.
This professional ensures that the expected level of translation quality is maintained, and the product delivered to the client should always meet its intended purpose.
Job Reference: #LI-JC1
The following is a non-exhaustive list of responsibilities and areas of ownership for this role:
Performing lead linguist function on assigned accounts; provide SME support for designated clients
Performing copy-edit tasks on assigned projects or accounts
Performing on-demand translation tasks
Taking ownership of deliveries that were translated by the linguists for one or more accounts into Simplified Chinese
Preparing, managing and maintaining the language materials (including glossaries, Style Guides, work instruction) up to the quality standards and up to date as required by the account or project
Managing project-related queries
Ensuring good interaction among team members and resolving questions on terminology and language matters
Coordinating a team of freelancers on assigned projects or accounts
Testing and qualifying new freelancers and vendors as required; monitor resources’ performance
Developing and training of new and existing freelancers according to the accounts’ and Welocalize’s needs
Recommend Simplified Chinese Life Sciences resources to Squads, based on data of quality, OTD, language strategy, capacity needs, content specialty, or client specific requirements
Conduct monthly capacity planning for Life Sciences, make sure adequate resources in place to support the production
Interacting with clients on linguistic matters as required
Work with Quality and Squads to plan and perform LQAs, and drive arbitration process
Support Quality team in reviewing client escalations related to Simplified Chinese and in conducting RCAs for life sciences translation
Responsible for client inquiries; attend client calls as needed
Participating in the development of new and improved working processes
Meet or exceed the productivity KPI
Achieving the goals set by the Squad Lead
Education Level
University degree in Translation/Applied Languages or equivalent combination of education and experience, in a Life Sciences-related field: Medicine, Pharmacy, Nursery, Biology, Chemistry.
A Master’s degree is a plus
4+ years of relevant experience in translation/localization, with speciality Life Sciences
Experience
8+ years of relevant experience in translation/localization/editing or content writing
5+ years of review experience
Fluent in English, both written and spoken
Native fluency in Simplified Chinese
Thorough understanding of the localization process
Knowledge of Simplified Chinese life sciences and clinical research regulations
Excellent user experience of standard CAT tools, e.g. XTM, SDL Studio, and issue tracking and query management tools, e.g. JIRA, Verifika
Excellent user experience of standard software, such as Windows and Office applications
Good understanding of Machine Translation Post-Editing process and willingness to work with AI tools
Ability to learn new localization tools and applications quickly
Excellent interpersonal, written and verbal communication skills
Excellent knowledge of terminology used in two or more subject matters
Subject-matter expert within company for discipline or process
Ability to work with tight deadlines
Ability to give clear, concise and constructive feedback
Ability to coordinate internal and external translators
Ability to effectively present information and respond to questions from groups of managers, clients, customers, linguists
Ability to solve practical problems and deal with a variety of concrete variables in situations where only limited standardization exists. Ability to interpret a variety of instructions furnished in written, oral, diagram, or schedule form.
Ability and willingness to train/teach others and pass on knowledge
Ability, willingness and experience in communicating positively with customers at various levels
Ability to work in a virtual team contributing to the team's success, or work independently as needed
Problem-solving mindset that can proactively assess and mitigate risks
Ability to prioritize ongoing projects based on business needs and urgencies that arise
Excellent oral and written communication skills
Location: Baltics
THE ROLE
As a Forward Deployed Engineer at Wonderful, you’ll turn complex enterprise workflows into AI agents that work in the real world.
You’ll operate at the intersection of engineering, product, and customer delivery. Embedding directly with enterprise teams, you’ll uncover how their operations actually run, identify where AI can create meaningful value, and build the systems that deliver it.
You’ll lead projects from initial discovery through production deployment, combining customer insight with hands-on engineering. After launch, you’ll measure real-world impact and keep iterating until the solution delivers meaningful results.
This role is for versatile engineers who enjoy combining deep technical work with customer context. You’re comfortable entering unfamiliar environments, asking incisive questions, and shipping practical solutions without waiting for a perfect specification.
WHAT YOU’LL DO
- Embed with customers to understand their workflows, constraints, and measures of success.
- Turn loosely defined operational problems into clear technical plans and production systems.
- Design and build AI agents that integrate with customer tools, data, and business processes.
- Own deployments from prototype through launch, monitoring, and continuous improvement.
- Test with real-world data, measure business outcomes, and iterate based on evidence.
- Make pragmatic tradeoffs across architecture, reliability, speed, and user experience.
- Partner closely with Wonderful’s Product and Engineering teams to improve the core platform.
- Turn lessons from individual deployments into reusable tools, patterns, and best practices.
WHAT WE’RE LOOKING FOR
- 5+ years of experience building software or solving complex technical problems.
- Strong foundations in software architecture, system design, and production engineering.
- Experience working across APIs, integrations, data flows, and distributed systems.
- The ability to bring structure and momentum to ambiguous problems.
- Confidence working directly with customers, from operational teams to technical stakeholders.
- Clear communication, sound judgment, and a strong sense of ownership.
- Genuine curiosity about applied AI and its potential to transform how businesses operate.
NICE TO HAVE
- Experience in a forward-deployed, solutions engineering, consulting, or customer-facing technical role.
- Experience building AI agents, workflow automation, or conversational systems.
- Familiarity with LLM evaluation, observability, and reliability in production.
- Experience deploying and improving systems in complex enterprise environments.
Candidate Privacy Notice https://www.wonderful.ai/careers/candidate_notice
Location: Riyadh, Saudi Arabia
Müller's Solutions is actively seeking a talented SAP FICO/FM and FSCM Consultant, who is fluent in Arabic, to join our growing team. This role is specifically designed for professionals who possess expertise in SAP Financial Accounting (FICO), Funds Management (FM), and Financial Supply Chain Management (FSCM). The ideal candidate will be instrumental in driving successful SAP implementations and optimizations for our clients in Arabic-speaking regions.
Key Responsibilities:
Lead and support SAP FICO (Financial Accounting and Controlling), FM (Funds Management), and FSCM (Financial Supply Chain Management) activities.
Collaborate with business stakeholders to gather requirements and translate them into SAP solutions.
Configure and customize SAP modules to meet business needs.
Support data migration, testing, training, and go-live activities.
Provide post-implementation support and continuous improvement recommendations.
Work closely with cross-functional teams and ensure alignment with project goals.
Communicate effectively in Arabic with client teams and end-users.
Requirements
Requirements:
Minimum 5+ years of hands-on experience in SAP FICO/FM and FSCM.
Proven experience in SAP implementations and support projects.
Strong understanding of financial processes and integration with other SAP modules.
Fluency in Arabic and English (spoken and written) is mandatory.
Excellent communication, problem-solving, and client-facing skills.
SAP certification in FICO or FSCM is a plus.
Benefits
1- Attractive Package.
2- Family Benefits.
3- Visa.
4-Air Tickets.
Location: Jeddah, Saudi Arabia; Dammam, Saudi Arabia; Makkah, Saudi Arabia
The Hydraulic Technician is responsible for the installation, inspection, maintenance, troubleshooting, and repair of hydraulic systems and equipment. The role ensures systems operate safely, efficiently, and in compliance with technical specifications and safety standards.
Education:
Technical Diploma or Vocational Certification in Hydraulics, Mechanical, or related field
Experience:
Minimum
3–5 years
relevant experience in
industrial, oil & gas, or construction environments
Technical Knowledge:
Hydraulic pumps, motors, valves, cylinders, and actuators
Hydraulic power units (HPU)
Hydraulic systems used in heavy equipment and industrial plants
Pressure testing, flushing, and system commissioning
Ability to read hydraulic schematics, drawings, and manuals
Safety & Standards:
Knowledge of hydraulic safety practices and safe work procedures
Familiarity with industrial HSE requirements and permit-to-work systems
Key Responsibilities
Install, inspect, maintain, and repair hydraulic systems and components
Troubleshoot system faults and perform corrective actions
Conduct testing, commissioning, and preventive maintenance activities
Support construction and shutdown activities as required
Ensure compliance with safety and quality standards
Complete maintenance and service documentation
Jeddah, Saudi Arabia; Dammam, Saudi Arabia; Makkah, Saudi Arabia
Location: UAE
Workplace: Remote
ABOUT ELEVENLABS
ElevenLabs is an AI research and product company transforming how we interact with technology.
We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always.
We have expanded from voice into three main platforms:
- ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale.
- ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages.
- ElevenAPI gives developers access to our leading AI audio foundational models.
Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you.
HOW WE WORK
- High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.
- Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you.
- AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations.
- Excellence everywhere: Everything we do should match the quality of our AI models.
- Global team: We prioritize your talent, not your location.
WHAT WE OFFER
- Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible.
- Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities.
- Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend.
- Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose.
- Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún
- Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend.
ABOUT THE ROLE
We’re looking for a highly motivated, self-starter first Revenue Partnerships hire based in the Middle East who is passionate about AI technology and how it is changing businesses. We don’t just sell a product or custom-level solutions; we are partnering with enterprises to help them generate new experiences and monetization opportunities at scale with our breakthrough voice technology and solutions. In this role you will:
- Actively seek out, identify, qualify, and build a sales pipeline through partnerships with Global/Regional System Integrators, Cloud Providers, Value-Added Resellers (VARs), consulting firms and Technology Partners.
- Collaborate with our Enterprise Sales team to close deals and consistently exceed monthly, quarterly, and yearly sales targets.
- Establish and nurture strong partnerships that drive business growth and create new opportunities.
- Serve as the primary point of contact for all partner-related initiatives within the Regional Sales team.
- Oversee partner relationships at the regional level while maintaining alignment with global strategies.
REQUIREMENTS
- At least 7 years of quota-carrying experience in a fast-paced, competitive sales environment, focusing on new business development.
- A minimum of 3 years of experience managing sales pipelines and closing deals through partnerships with Global and Regional System Integrators, VARs, Cloud Partners,consulting firms and Technology Providers within a complex sales matrix.
- Proven ability to communicate the business value of advanced enterprise technology solutions.
- A history of consistently exceeding sales targets and achieving strong performance.
- Expertise in navigating complex sales cycles and developing business champions.
- Self Starter
- Analytical skills and proficiency with spreadsheets
- Proficiency in creating compelling presentations and demos
- Market Insight: Deep knowledge of the In SaaS/AI industry
- Proficiency in English
Bonus:
- Network in the relevant partner bases
- Proficiency in Arabic
#LI-remote
We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.
Location: Hong Kong, Hong Kong SAR; Singapore, Singapore
OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa
About OKX
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.
About The Team
The DEX Token Markets team at OKX Web3 builds real-time market tracking and analysis tools across 40+ chains and hundreds of thousands of trading pairs — charts, trade feeds, watchlists, alerts, and screeners trusted by millions of traders navigating DeFi, including the fast-moving meme coin markets driving much of today's on-chain volume.
What You'll Be Doing
Build and maintain the market tracking platform, including systems tuned for meme coin-style volume spikes and liquidity swings.
Develop high-throughput, low-latency backend systems that keep data accurate and reliable under bursty load.
Troubleshoot issues to ensure service stability and quality.
Ship features on time with clean, well-tested, maintainable code.
Collaborate with product and engineering to keep integrations running smoothly.
What We Look For In You
Bachelor's/Master's in CS, Software Engineering, or related (or strong STEM background).
3-5+ years building high-performance systems in Java — strong grasp of JVM, IO, multithreading, concurrency, networking.
Solid MySQL experience (transactions, indexing, SQL optimization) and familiarity with caching/message queue middleware.
Strong command of data structures, algorithms, design patterns.
Clear logic, strong communication, thrives in fast-paced environments.
Hands-on meme coin trading experience — an active trader/degen who understands the volatility, liquidity dynamics, and speed that define this market, bringing real product intuition to the team.
Nice to Haves
Distributed systems experience — consistency, high availability, fault tolerance, horizontal scalability.
Experience with real-time on-chain data systems: DEX pools, token launches, liquidity tracking.
Working proficiency in English for global collaboration.
Perks & Benefits
Competitive total compensation package
L&D programs and Education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Location: Romania
THE ROLE
As a Forward Deployed Engineer at Wonderful, you’ll turn complex enterprise workflows into AI agents that work in the real world.
You’ll operate at the intersection of engineering, product, and customer delivery. Embedding directly with enterprise teams, you’ll uncover how their operations actually run, identify where AI can create meaningful value, and build the systems that deliver it.
You’ll lead projects from initial discovery through production deployment, combining customer insight with hands-on engineering. After launch, you’ll measure real-world impact and keep iterating until the solution delivers meaningful results.
This role is for versatile engineers who enjoy combining deep technical work with customer context. You’re comfortable entering unfamiliar environments, asking incisive questions, and shipping practical solutions without waiting for a perfect specification.
WHAT YOU’LL DO
- Embed with customers to understand their workflows, constraints, and measures of success.
- Turn loosely defined operational problems into clear technical plans and production systems.
- Design and build AI agents that integrate with customer tools, data, and business processes.
- Own deployments from prototype through launch, monitoring, and continuous improvement.
- Test with real-world data, measure business outcomes, and iterate based on evidence.
- Make pragmatic tradeoffs across architecture, reliability, speed, and user experience.
- Partner closely with Wonderful’s Product and Engineering teams to improve the core platform.
- Turn lessons from individual deployments into reusable tools, patterns, and best practices.
WHAT WE’RE LOOKING FOR
- 5+ years of experience building software or solving complex technical problems.
- Strong foundations in software architecture, system design, and production engineering.
- Experience working across APIs, integrations, data flows, and distributed systems.
- The ability to bring structure and momentum to ambiguous problems.
- Confidence working directly with customers, from operational teams to technical stakeholders.
- Clear communication, sound judgment, and a strong sense of ownership.
- Genuine curiosity about applied AI and its potential to transform how businesses operate.
NICE TO HAVE
- Experience in a forward-deployed, solutions engineering, consulting, or customer-facing technical role.
- Experience building AI agents, workflow automation, or conversational systems.
- Familiarity with LLM evaluation, observability, and reliability in production.
- Experience deploying and improving systems in complex enterprise environments.
Candidate Privacy Notice https://www.wonderful.ai/careers/candidate_notice
Location: Dubai, United Arab Emirates
As an AI Infrastructure & MLOps Engineer at Müller’s Solutions for a 6-month contract, This role is
primarily operations-focused (90%)
, with hands-on involvement in
implementation, configuration, and setup
of AI infrastructure and MLOps workflows.
You will play a key role in managing, operating, and guiding the deployment of a
strategic AI environment
, working closely with the customer as a technical advisor and hands-on engineer.
What about the role responsibilities?
Operate and maintain AI infrastructure and MLOps platforms in a production environment.
Monitor, manage, and troubleshoot Kubernetes-based AI workloads.
Perform
Acceptance Testing Planning and Execution
for AI infrastructure and platforms.
Ensure stability, performance, and availability of AI systems.
Support day-to-day operational tasks across compute, storage, and networking layers.
Install and configure
NVIDIA Enterprise AI Stack (NVAI)
.
Configure and manage
MLOps platforms
such as
Kubeflow and MLflow
.
Assist in setting up
end-to-end AI workflows
, including data pipelines.
Support the initial implementation phase of the AI environment.
Act as a technical guide and advisor to the customer during the early stages of their AI adoption.
Requirements
What should you have to fit in this role?
Technical Requirements
AI / MLOps Stack
Proficient experience with the NVIDIA Enterprise AI Stack
Familiarity with Ubuntu Linux
Experience with Kubernetes
Knowledge of Kubeflow / MLflow
Experience with QFLOW (an open-source AI data pipeline management tool)
Programming & Automation
4–6 years of practical experience in:
Python
Jupyter Notebook / JupyterLab
Competence in writing, testing, and maintaining operational scripts and AI workflows.
Infrastructure Experience
Practical experience with enterprise infrastructure, encompassing:
Dell PowerScale
(5 nodes)
XE Server
(1 node)
Dell R570 Servers
(5 nodes)
Dell Network Switches
(2 switches)
GPU-based AI servers
(in a small-scale environment)
Environment Overview
Initial implementation of AI
Compact configuration:
1 GPU server
1 PowerScale
5 control plane servers
Opportunity to shape best practices from the ground up
To succeed in this role, it's nice to have:
• Familiarity with data frameworks like Apache Spark or Hadoop for data processing.
• Understanding of ML model monitoring and logging practices to ensure system reliability.
• Experience with security best practices in AI systems.
Location: United States
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role:
The role involves forming technical hypotheses, designing targeted tests, analyzing system logs and low-level hardware data, and distinguishing between GPU, host, firmware, interconnect, thermal, and physical hardware failures. It requires strong ownership, curiosity, and the ability to turn ambiguous problems into evidence-based conclusions and repeatable troubleshooting procedures.
This is a senior systems engineering role focused on diagnosing and resolving complex hardware and platform failures in high-performance AI infrastructure. This engineer will work across Linux, GPU servers, PCIe, firmware, power, and cooling to determine the true root cause of issues that may not have an existing troubleshooting procedure.
What skills we expect you to have:
Minimum 5 years of hands-on systems engineering experience across Linux, server hardware, firmware, PCIe, and GPU or high-performance computing platforms.
Extensive Linux experience, particularly using Linux as an environment for hardware debugging, system-level troubleshooting, and platform investigation.
Knowledge of the Linux kernel and experience with kernel-level debugging or troubleshooting.
Strong knowledge of modern server architecture, particularly in high-performance, GPU-based environments.
Strong knowledge of NVIDIA GPU platforms and diagnostic tooling, including nvidia-smi, XID and SXID analysis, GSP and driver behaviour, NVLink, NVSwitch, Fabric Manager, DCGM diagnostics, and NCCL testing
Deep knowledge of PCIe, including topology, enumeration, root complexes, endpoints, switches, bridges, retimers, link speed and width, AER and DPC errors, completion timeouts, and link failures. Candidates should understand how protocol-level errors can relate to physical-layer or signal-integrity problems.
Experience benchmarking systems for performance, stability, power efficiency, thermal behaviour, and workload characteristics
In depth understanding of firmware interactions across BIOS/UEFI, BMC, CPLD/FPGA, GPU firmware, NIC firmware, and other platform components.
Experience with low-level hardware communication and debugging using I²C, SMBus, PMBus, register maps, bit masks, byte- and word-level data, and device datasheets.
Demonstrated ability to troubleshoot complex hardware, software, and networking issues.
Experience with deep problem investigation, root cause analysis, and performance optimization in cloud or high-performance computing environments.
Strong analytical and problem-solving skills with a performance-first mindset.
Scripting and automation using various languages (Python\Go)
Key employee benefits:
Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families.
401(k) plan: up to 4% company match with immediate vesting.
Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.
Remote work reimbursement: up to $85/month for mobile and internet.
Disability & life insurance: company-paid short-term, long-term and life insurance coverage.
Compensation
We offer a competitive salary ranging from $179,500- $224,300 + quarterly performance bonuses.
Join Nebius Today!
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: Argentina; Brazil; Colombia
Workplace: Remote
Solvd Inc. is a rapidly growing AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence. We work with industry-leading organizations to design, build, and operationalize technology solutions that drive measurable business outcomes.
Following the acquisition of Tooploox, a premier AI and product development company, Solvd now offers true end-to-end delivery—from strategic advisory and solution design to custom AI development and enterprise-scale implementation. Our capability centers combine deep technical expertise, proven delivery methodologies, and sector-specific knowledge to address complex business challenges quickly and effectively.
Solvd is seeking a Senior AI Engineer to join our team. This role will be essential in the winning of opportunities for the company, primarily focusing on supporting presales process and opportunities discovery with existing clients.
ABOUT THE PROJECT
Our client, a global e-commerce leader with a large-scale, service-oriented technology estate and complex cloud infrastructure, is seeking to elevate their customer support technology stack by introducing Agentic AI to streamline case workflow resolutions and by implementing an integrated platform to replace the fragmented set of solutions currently used by support agents.
Ultimately, our client aims to deliver a more personalized and satisfying support experience to end users - improving CSAT, reducing resolution time, and enhancing service quality across all channels.
We are developing a customer support research and resolution platform. The platform will include:
- data layer, provide a federated GraphQL interface that unifies access to multiple backend services, enabling low-latency, real-time data retrieval and transactional operations to support AI-driven workflows.
- agentic layer, supporting AI-assisted support workflows with human in the loop for validation and confirmation purposes
- research capability, allowing end users to intervene when AI is stuck or gives suggestions with low confidence - this capability should enable users to perform additional research, data lookups and actions execution using natural language prompts leveraging LLM and tools (lookups and mutating operations exposed via MCP servers)
The role will focus on designing, building and optimizing this agentic research flows for research capability. This is a multi-team, collaborative initiative that requires close coordination with other delivery teams, adherence to high engineering standards and a strong focus on integration and architectural alignment.
WHAT YOU’LL DO
- Design and implement AI-powered features: integrate LLM and build AI agents.
- Design and implement ent-to-end (frontend and backend) non-AI features, services and business logic that make the solution complete.
- Build and maintain MCP servers to expose domain data and capabilities as tools for AI agents.
- Implement RAG workflows to ground LLM responses in factual data using embeddings, chunking and vector databases.
- Instrument and optimize OpenAI integrations for cost, latency, and accuracy in production environments.
- Collaborate with product, design and architecture teams to craft exceptional user experiences built on AI.
- Participate in technical design reviews, shaping architectural decisions and engineering standards.
WHO ARE YOU
- You see engineering as an art of solving problems, using languages and frameworks as tools - not boundaries or limiting factors.
- You stay ahead of the curve, continuously tracking the latest developments in Generative AI and excited to be part of how it transforms digital solutions are how they are built.
- You know best practices of building AI agents leveraging OpenAI ecosystem (OpenAI Agents SDK specifically).
- You have 6+ years of server-side engineering experience, designing and building enterprise-scale software systems.
- You have a strong understanding of distributed systems design patterns.
- You have strong knowledge of different types of data stores (relational, document, vector, key-value) and understand when to use each effectively.
- You are fluent in React, Node.js, TypeScript and confident integrating OpenAI models in real-world applications.
- You are fluent in at least one non-JS programming language (Java is a strong advantage).
- You are able to express your thoughts and ideas clearly to different audiences, including non-technical stakeholders, bridging business and technical perspectives.
- You thrive in environments where AI isn’t a side feature but a core building block.
- You can take ownership of and drive feature implementation end-to-end, coordinating the work of multiple team members when needed.
- You have a strong understanding of Agile delivery methodologies and understand the importance of expectations management, estimations and commitments.
WHAT YOU BRING
- 6+ years of professional backend engineering experience, 3+ years with TypeScript/Node.js.
- 9+ months of commercial experience building AI features using OpenAI ecosystem.
- Hands-on expertise with the OpenAI Agents SDK - building and orchestrating AI agents with capabilities such as tool/function calling, assistants, streaming interactions, and stateful workflows.
- Experience designing and implementing MCP servers to integrate external capabilities with LLMs.
- Proven ability to design structured prompt architectures with evals, guardrails and observability.
- Familiarity with RAG: embeddings, chunking, vector search, retrieval orchestration.
- Strong fundamentals in building secure, performant, production-grade APIs and backend systems.
- Experience with CI/CD, testing, monitoring, and cloud infrastructure.
ADDITIONAL SKILLS
- Understanding concepts of semantic search is a strong advantage.
- Experience playing a role of team leaders is a strong advantage.
- Exposure to other LLM providers (e.g., Anthropic, Mistral AI, Hugging Face) is a strong advantage.
- Experience with streaming UIs, conversational UX, and SSE/WebSockets.
- Knowledge of prompt injection defenses and responsible AI practices.
TECH STACK
This platform is a green-field development.
- Core: TypeScript, Node.js, React/Next.js, Java
- AI: OpenAI API, MCP servers, OpenAI Agents SDK
- APIs: GraphQL, REST APIs, SOAP (downstream services - you won’t have to deal with them much)
- Data storages: Postgres + pgvector, Pinecone (or other vector DBs), RAG pipelines
- Infra: proprietary managed cloud (you won’t have to deal with any infra-level aspects
When you join Solvd, you'll…
- Shape real-world AI-driven projects across key industries, working with clients from startup innovation to enterprise transformation.
- Be part of a global team with equal opportunities for collaboration across continents and cultures.
- Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards.
Ready to make an impact?
If you're excited to build things that matter, champion responsible AI, and grow with some of the industry’s sharpest minds. Apply today and let’s innovate together.
Solvd is an equal opportunity employer.
Location: New York, NY; Pittsburgh, PA
Our mission at Duolingo is to develop the best education in the world and make it universally available. It’s a big mission, and that’s where you come in!
At Duolingo, you’ll join a team that cares about finding
innovative solutions to complex technical problems
, running countless experiments (300+ at a time!) with our massive user base to make data-driven decisions, and educating our users and employees alike. You’ll have limitless learning opportunities, mentorship and collaboration with world-class minds, and a variety of projects with large scopes — while doing work that’s both fun and meaningful.
Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world.
About the role
Ads Team:
Duolingo's Monetization pillar builds the systems that fund our mission: from subscription packaging and advertising to ML-powered personalization and beyond. As a Senior iOS Engineer on Ads, you'll work on a product engineering team responsible for growing and scaling Duolingo's ads business: bringing high-quality ads that delight learners, fit seamlessly into our product experience, and meaningfully contribute to Duolingo’s bottom line. The team will own the systems behind ad serving, mediation and demand, in-product ad formats and surfaces, and more. You'll work cross functionally with product, design, data science, machine learning, and ad operations.
🧠 You will...
Collaborate on software projects with product design and backend aspects
Develop, release, and maintain native iOS applications, primarily in Swift
Mentor and set technical direction for junior engineers across the company
✅ You have...
A Bachelor’s degree in Computer Science or a related technical field
A solid foundation in computer science with strong competencies in data structures, algorithms, and software design
Programming experience in Swift
⭐ Exceptional candidates will have...
Strong proficiency in Swift, with proven ability to build and maintain production-level applications
Strong technical knowledge of iOS mobile application development for iPhone/iPad using Swift with Cocoa Touch and related frameworks
Experience designing clean and maintainable APIs
Experience with multithreaded programming
Experience writing unit tests and testable code
Knowledge of iOS SDK performance tools and optimization techniques
The offered salary is dependent upon several factors, including work experience, skills, and internal peer comparisons. The posted range is subject to change in the future. For this role, base salary is supplemented by equity compensation. We encourage you to talk with your recruiter for more information related to compensation for this role!
Salary Range:
$177,700
—
$240,400 USD
Benefits:
Take a peek at how we care for our employees' holistic well-being with our benefits
here
.
Job Alerts:
Sign up for job alerts
here
.
Accommodations:
We will do everything we can within reason to make sure that your interview takes place in an environment that fairly and accurately assesses your skills. If you need assistance or accommodation, please contact
accommodations@duolingo.com
.
Equal Employment Opportunity:
Duolingo is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Fraud Warning:
Unfortunately, there is a rise in scammers pretending to be real Duolingo employees. Duolingo and our employees will never ask for your Social Security number, bank details, or passport info, and we’ll never ask you to deposit a check, purchase equipment, or exchange money during the interview process. Real Duolingo employees always use an email that ends in @duolingo.com or @recruiting.duolingo.com. Stay alert and double-check these details before sharing any information.
By applying for this position your data will be processed as per the
Duolingo Applicant Privacy Notice
.
СтажёрBremen, Germany; We welcome applications from women, men and non-binary candidates of all ethnicities and socio-economic backgrounds
СтажёрBremen, Germany; We welcome applications from women, men and non-binary candidates of all ethnicities and socio-economic backgrounds
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