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Location: Remote Workplace: remote ABOUT YOU   We are looking for a Developer Evangelist – Community to be the public face of Xsolla in the game developer ecosystem, building trust, engagement, and advocacy across online and offline communities. This role focuses on technical content creation including coding, SDKs, and APIs, community presence, and relationship-building to help game developers discover, adopt, and succeed with Xsolla’s products.   You will act as a storyteller and connector—translating complex technical concepts into accessible, inspiring content while ensuring Xsolla has a strong, credible voice in the most relevant developer spaces.   ABOUT US   Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com. Responsibilities: Establish and maintain a strong presence in top game developer communities . Represent Xsolla at developer conferences, meetups, and industry events . Organize and participate in developer meetups, hackathons, and regional gatherings. Produce high-quality technical and inspirational materials, including: Articles, blog posts, and tutorials. Videos, webcasts, and looms. Social media stories, posts, and developer updates. Keep all content up to date and aligned with the latest product releases and best practices. Collaborate with Developer Marketing to amplify content reach and engagement. Act as a trusted liaison between developers and Xsolla’s Product/Technical teams. Gather, organize, and share feedback from the community to help improve product features and documentation. Identify opportunities for lighthouse integration cases and partner with internal teams to bring them to life. Track and report on: Reach and engagement of produced content. Community participation and growth. Developer satisfaction with materials and events. Use insights to refine outreach tactics and maximize impact. Qualifications & Skills: 3–5 years in Developer Advocacy, Community Management, or related roles, ideally in the game industry. Technical background and software development experience. Solid understanding of game development processes and tools (mobile, PC, and/or web). Proven ability to produce engaging technical content across multiple formats. Strong presence in online developer communities and comfort in public speaking. Excellent communication, storytelling, and interpersonal skills. Ability to travel for conferences, meetups, and other community events. Benefits: We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes 100% company-paid medical, dental, and vision plans, unlimited Flexible Time Off, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.   Equal Employment Opportunity Statement: Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with the Fair Chance Act.   Criminal History Consideration: For the Developer Evangelist - Community, we will conduct a background check that may include the following: Criminal history check Employment verification Education verification   Relevance to Job Responsibilities: The background check is relevant to this position because of the following role responsibilities: Accessing confidential company data Ensuring compliance with regulatory requirements   Rights Under the Fair Chance Act: Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact careers@xsolla.com. The listed range is specific to Los Angeles, CA and varies based on factors such as location and experience.

Location: Remote We are looking for a Software Developer , preferably with commercial experience in low and ultra-low latency projects to join our dynamic team. The ideal candidate will demonstrate intelligence, steadiness, and thoughtfulness, with strong attention to detail and a passion for streamlining business processes. They should be naturally curious, approach problems with a continuous improvement mindset, and remain flexible in seeking ever-better solutions. WHAT YOU’LL BE DOING: Implementation of complex computational algorithms on GPU and CPU with demanding latency and throughput requirements Refactor existing solutions to improve their scalability WHAT WE LOOK FOR IN YOU: Commercial experience in developing and debugging high-performance GPU and CPU applications with strong focus on latency and throughput Hands-on experience with third-party libraries and designing custom CUDA kernels Proficient with profiling and performance analysis tools (Nsight Systems, Nsight Compute, nvprof) Solid understanding of data structures, algorithms, and object-oriented programming in C++ Proven ability to work effectively in remote or hybrid teams with variable, project-based responsibilities Curiosity and proactive engagement with emerging trends in GPU/HPC/ML, continuously seeking to learn and apply new techniques NICE-TO-HAVE: In-depth knowledge and expertise in low-latency and real-time development, achieving sub-microsecond latency Experience with lock-free data structures and associated design patterns Proficient in C programming, including writing Linux drivers and working with kernel-level components Strong understanding of Linux system internals and networking Knowledge of memory optimization techniques (shared memory, registers, coalesced access, persistent kernels) Experience with inference optimization frameworks WHY SHOULD YOU JOIN OUR TEAM? Great challenges with fast feedback loops A welcoming group of highly qualified international professionals Cutting-edge hardware and technology Work remotely from anywhere in the world Access any of our global offices anytime Flexible schedule 40 paid days off Competitive salary

Location: India (Remote); Argentina (Remote); Romania (Remote) Workplace: Remote THE PRODUCTION TEAM AT LILT LILT’s production team focuses on onboarding and localized content delivery for enterprise and mid-market customers, who use our AI technology for their multilingual content requirements. Our team engages with customers from post-sales through steady-state production and is made up of experts in various functional and technical areas of LILT’s overall offering. While we work in various locations, we are highly collaborative within the team and have tight interactions with our colleagues in the LILT Sales, Product, Engineering, and Operations teams. Additionally, we operate as critical members of account-based teams that ensure LILT’s technology is utilized to deliver maximum value to our customers. While we’re at it, we have fun and enjoy the ride together. WHERE YOU’LL WORK This is a contract position based out of India or Romania. Authorization to work in India, Argentina, or Romania is a precondition of employment. WHAT YOU’LL DO We're looking for an experienced multimedia specialist with a localization background who loves solving hard problems, ensuring work is done on time to keep the customer experience seamless, and interacting with a variety of stakeholders. This position is for someone who has strong technical aptitude, extensive customer-facing experience, and the ability to manage competing priorities from multiple customers at once. You will be responsible for scoping and processing multimedia content within our platform and partner platforms (e.g. CaptionHub, Articulate), ensuring accurate and timely completion of tasks. You will work hand-in-hand with Sales, Production, Operations, and Engineering. You will be responsible for providing the technical expertise to make LILT customers successful. You will have a broad range of skills and experience ranging from global multimedia content management lifecycle, a working knowledge of video and audio processing with respect to content pipelines and integrations. You will have the insight to make the connection between a customer’s specific business problems and LILT's solution, the customer-facing skills to communicate that connection and vision to a wide variety of technical and executive audiences, and the technical skills to be able to not only build demos and execute proof-of-concepts but also to provide consultative assistance on architecture and implementation. KEY RESPONSIBILITIES: - Act as a localisation subject matter expert during the pre-sales cycle, providing guidance on e-learning content workflows, tools, and formats. - Scope and plan multimedia localisation projects for e-learning content across multiple languages, ensuring accuracy, efficiency, and scalability. - Prepare source e-learning files (e.g., Articulate Storyline, Rise, Captivate) for localisation, including extraction of translatable content, audio, and visual assets. - Reintegrate translated and localised materials, ensuring fully functional, linguistically accurate final e-learning modules. - Support customer onboarding and implementation, offering workflow guidance for e-learning localisation. - Manage localisation of video, voiceover, subtitling, and interactive learning assets in line with project requirements. - Provide best practices for managing localisation-ready content and advise on automation opportunities in e-learning localisation workflows. - Operate and maintain localisation tools and platforms, supporting both AI-driven and human-led localisation processes. - Review localised e-learning content, including SCORM packages, for quality, technical accuracy, and adherence to brand and platform standards. - Perform final QA checks ("final eyes") and prepare final files for delivery to clients or internal stakeholders. - Act as the go-to expert on e-learning localisation workflows and tools across the organisation. - Meet SLAs and KPIs for engineering and localisation delivery. SKILLS AND EXPERIENCE: - 3+ years of experience in e-learning localisation or multimedia localisation with a strong focus on learning and development content. - Deep expertise in preparing and localising content developed in Articulate Storyline, Rise, Adobe Captivate, and similar authoring tools. - Strong understanding of SCORM/xAPI compliance, LMS integrations, and common e-learning file types. - Proficiency in video subtitling, editing, and localisation, including experience with voiceover, dubbing, audio integration, and subtitle syncing. - Experience with video editing software (e.g., Adobe Premiere Pro, Camtasia, Audacity) and managing media files at scale. - Familiarity with multimedia file formats and localisation-friendly formats (e.g., XLIFF, JSON, XML, STRINGS, SRT, VTT). - Exposure to CAT tools and localisation platforms (TMX editors, translation memory tools, OCR, and alignment software). - Solid understanding of character encoding, formatting rules, and localisation QA standards. - Strong organizational, communication, and problem-solving skills. - Comfortable managing large file repositories and understanding of file transfer methods (FTP, SFTP, cloud-based systems). AI is changing how the world communicates — and LILT is leading that transformation. LILT's mission is to make the world's information available to everyone, no matter the language they speak. Join our global community who thrive on innovation and excellence. Our collective knowledge, uniqueness, and skills deliver multilingual AI and human-verified services to Enterprises, Governments, and AI Developers around the world. Earn money. Have fun. Advance human knowledge. Work on diverse projects from anywhere, any time you want. Get paid quickly and fairly, and build your professional network in a supportive community—all through a streamlined application process tailored to your expertise. Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy. At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com. LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.

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 We are seeking a GPU Cluster Architect to drive the design of our next-generation AI infrastructure. In this high-impact, hands-on role, you will make end-to-end architectural decisions across compute, networking, and storage — ensuring our platforms can meet the massive scale, performance, and reliability requirements of modern AI workloads. This is a high-impact, hands-on architecture role where you’ll define how tens of thousands of GPUs are interconnected, cooled down, powered, and optimized across multiple data center sites. You are welcome to work remotely from the USA . Your responsibilities will include: Cluster Design : Architect scalable GPU cluster topologies including compute nodes, interconnect (InfiniBand, Ethernet), storage, and control planes. Performance Modeling : Analyze AI/ML workloads (e.g. LLM training, inference) to inform design tradeoffs across latency, bandwidth, and GPU density. Network Architecture: Align with network architect relevant design and validate low-latency, high-throughput interconnects (e.g., InfiniBand HDR/NDR, RoCEv2) at POD and DC scale. Storage Integration: Work with storage teams to optimize performance for training datasets, checkpointing, and others. Reliability & Monitoring : Understand and analyze signal from monitoring systems to the detect flows in design Collaboration : Partner with site reliability, networking, storage, and DC engineering teams to operationalize and scale your architecture. We expect you to have: 5+ years of experience designing clusters. Deep understanding of modern GPU architecture (NVIDIA, AMD, etc.). Experience with HPC interconnects (InfiniBand & RoCE). Solid background in systems architecture, networking, and hardware reliability. Experience in scripting for automation and telemetry pipelines (Python, Go, etc.) Key employee benefits in the US: 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 $184K to $318K OTE, which includes base salary and performance bonus. Equity in the form of RSUs may be available at certain salary grades. What we offer Competitive salary and comprehensive benefits package. Opportunities for professional growth within Nebius. Hybrid working arrangements. A dynamic and collaborative work environment that values initiative and innovation. We’re growing and expanding our products every day. If you’re up to the challenge and are excited about AI and ML as much as we are, join us! 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: Limassol, Cyprus We are looking for a Data Governance Analyst to join our team.RequirementsBusiness Metrics & Data Governance: experience documenting and standardizing business metrics, KPIs, business glossary, and business logic to establish a single source of truth across the organization.Data Quality: hands-on experience translating business requirements into measurable Data Quality rules and implementing automated validation using Great Expectations, Soda, dbt Tests, or similar frameworks.SQL & Python: strong SQL and Python skills for data validation, automation, framework development, and root cause analysis of data quality issues.Metadata Management: experience with data catalog and metadata management platforms (OpenMetadata, DataHub, or similar) to maintain metadata, lineage, and documentation.Data Governance Principles: solid understanding of Data Governance, Data Stewardship, Data Lineage, Metadata Management, and Data Lifecycle Management to support scalable governance practices.AI: practical experience using AI tools to automate workflows, improve productivity, and enhance data analysis and documentation processes.Nice to haveExperience with streaming technologies (Kafka, Spark, Flink).Experience with orchestration tools (Airflow, Dagster) and CI/CD.Experience with semantic/metrics layer tools (dbt Semantic Layer, Cube, LookML).Knowledge of data privacy and security standards (GDPR, CCPA).Previous experience in iGaming or FinTech.ResponsibilitiesDefine and standardize business metrics, KPIs, and business glossary together with stakeholders to ensure consistent business definitions across the company.Drive Data Governance adoption by introducing standards, best practices, and governance processes across data domains.Design and develop the company's Data Quality framework, including validation rules, monitoring, and quality standards to improve data reliability.Implement and maintain automated Data Quality checks and anomaly detection to proactively identify and resolve data issues.Build and manage the data catalog, metadata, and data lineage to improve data discoverability and transparency.Collaborate with Data Engineers to integrate Data Quality controls into data pipelines and investigate data inconsistencies across systems.We offer:High salary (plus performance bonuses and salary revision);Work schedule: Mon-Fri (9h with 1h lunch break), flexible start 8:00-10:00;24-days holiday leave;First line seaview from your office;Corporate English and Greek lessons;GYM and SPA in the office;Corporate meals;Eventful corporate life;Exciting work challenges that allow you to grow to your full potential;Strong team of like minded professionals who will be by your side to accomplish ambitious projects, and to stimulate your professional development and bring experience.

Location: Riyadh, Saudi Arabia Müller's Solutions is seeking a talented Data Engineer with expertise in Talend to join our growing team. As a Data Engineer, you will play a critical role in building and maintaining data pipelines that enable seamless data integration and processing across various systems. You will work closely with data analysts and data scientists to ensure that data is accessible, reliable, and structured for analysis. Responsibilities: Design, develop, and maintain ETL processes using Talend to extract, transform, and load data from various sources. Collaborate with stakeholders to understand data integration requirements and ensure data is delivered accurately and on time. Implement data quality checks and validation procedures to maintain data integrity. Optimize data pipelines for performance and scalability, ensuring efficient data processing. Monitor data flow and resolve any issues related to data processing or quality. Document data architecture, ETL processes, and data lineage to enhance knowledge sharing within the team. Stay updated on best practices and advancements in data engineering, Talend, and related technologies. Requirements Bachelor's degree in Computer Science, Information Technology, or a related field. Proven experience as a Data Engineer, with a strong focus on Talend. Expertise in ETL design and implementation using Talend data integration tools. Solid understanding of database management systems, SQL, and data warehousing concepts. Experience with data modeling and database design best practices. Strong analytical and problem-solving skills, with attention to detail. Familiarity with cloud data solutions (e.g., AWS, Azure) is a plus. Excellent communication skills for collaborating with cross-functional teams and stakeholders. A self-starter with the ability to work independently as well as part of a team. Knowledge of data governance and data security practices. Benefits Why Join Us: Opportunity to work with a talented and passionate team. Competitive salary and benefits package. Exciting projects and innovative work environment.

Location: Riyadh, Saudi Arabia Müller's Solutions is seeking a skilled Data Architect for a 3-month contract role. In this position, you will play a crucial role in designing and enhancing data systems to meet the evolving data needs of our organization. Your expertise will help shape our data strategy, ensuring the architecture is robust, scalable, and aligned with business goals. Collaborating with various teams, you will address data-related challenges and implement best practices in data management. Responsibilities: Design and implement data architecture solutions to support business objectives. Develop data models that align with existing and new business processes. Facilitate data integration efforts and ensure seamless data flow across systems. Establish data management policies and governance practices. Work closely with developers to optimize data storage and retrieval processes. Lead data quality initiatives and improve data accuracy and consistency. Ensure compliance with data security standards and regulations. Provide technical guidance and support to team members. Conduct reviews of the existing data architecture and recommend enhancements. Keep abreast of industry trends to ensure modern data architecture practices. Requirements Requirements: Degree in Computer Science, Information Systems, or related field. Demonstrated experience as a Data Architect with a solid track record in data architecture design. Proficiency in data modeling practices. Experience with ETL processes and data integration technologies. Strong understanding of data governance frameworks. Hands-on experience with SQL and database management systems (e.g., Oracle, SQL Server, MySQL). Ability to enforce data quality standards and conduct data analysis. Knowledge of data security methodologies. Excellent problem-solving abilities and analytical skills. Strong communication skills and team-oriented mindset. Benefits Why Join Us: Opportunity to work with a talented and passionate team. Competitive salary and benefits package. Exciting projects and innovative work environment.

Location: Remote - United States Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . At Reddit, machine learning sits at the heart of how millions of people discover, connect, and engage with the world’s largest collection of human conversations. From powering personalized recommendations and search to optimizing advertising systems and marketplace dynamics, our ML engineers tackle some of the most interesting and impactful problems in large-scale applied machine learning. We hire Machine Learning Engineers across both our Consumer and Ads organizations, giving you the opportunity to work on a wide range of high-impact problems across the Reddit ecosystem. We are looking for Machine Learning Engineers who are excited to build systems end-to-end, from research and modeling to production deployment, — and who want to help shape the future of discovery, relevance, and monetization at Reddit. If you love working on complex, real-world ML problems at massive scale, this role is for you. What You’ll Work On As a Machine Learning Engineer at Reddit, you will design and build production ML systems that power core experiences across the platform, including: Personalized recommendations, search, and ranking systems that help users discover the most relevant content and communities Intelligent advertising systems including ranking, bidding, measurement, and optimization Content, Advertisers, and User understanding, from building foundational content/user representations to deriving insightful signals Large-scale machine learning pipelines, model serving infrastructure, and real-time decision systems Applied AI and LLM-driven experiences that improve relevance, discovery, and user engagement You’ll work on high-impact systems that operate at internet scale and directly influence user experience, advertiser value, and business outcomes. What You’ll Do Design, build, and deploy production-grade machine learning models and systems at scale Own the full ML lifecycle: from problem definition and feature engineering to training, evaluation, deployment, and monitoring Build scalable data and model pipelines with strong reliability, observability, and automated retraining Work with large-scale datasets to improve ranking, recommendations, search relevance, prediction, content/user understanding, and optimization systems. Partner cross-functionally with Product, Data Science, Infrastructure, and Engineering teams to translate complex problems into ML solutions Improve system performance across latency, throughput, and model quality metrics Research and apply state-of-the-art machine learning and AI techniques, including deep learning, graph & transformers based, and LLM evaluation/alignment Contribute to technical strategy, architecture, and long-term ML roadmap Basic Qualifications 3-5+ years of experience building, deploying, and operating machine learning systems in production Strong programming skills in Python, Java, Go, or similar languages, with solid software engineering fundamentals ML Fundamentals: a strong grasp of algorithms, from classic statistical learning (XGBoost, Random Forests, regressions) to DL architectures (Transformers, CNNs, GNNs) Hands-on experience with modern ML frameworks (e.g., PyTorch, TensorFlow) Experience designing scalable ML pipelines, data processing systems, and model serving infrastructure Ability to work cross-functionally and translate ambiguous product or business problems into technical solutions Experience improving measurable metrics through applied machine learning Preferred Qualifications Experience with recommender systems, search/ranking systems, advertising/auction systems, large-scale representation learning, or multimodal embedding systems Familiarity with distributed systems and large-scale data processing (Spark, Kafka, Ray, Airflow, BigQuery, Redis, etc.) Experience working with real-time systems and low-latency production environments Background in feature engineering, model optimization, and production monitoring Experience with LLM/Gen AI techniques, including but not limited to LLM evaluation, alignment, fine-tuning, knowledge distillation, RAG/agentic systems and productionizing LLM-powered products at scale Advanced degree in Computer Science, Machine Learning, or related quantitative field Potential Teams Ads Measurement Modeling Ads Targeting and Retrieval Advertiser Optimization Ads Marketplace Quality Ads Creative Effectiveness Ads Foundational Representations Ads Content Understanding Ads Ranking Feed Relevance Search and Answers Relevance ML Understanding Notifications Relevance Benefits Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $216,700 — $303,400 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Location: Remote - Ontario, Canada Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . At Reddit, machine learning sits at the heart of how millions of people discover, connect, and engage with the world’s largest collection of human conversations. From powering personalized recommendations and search to optimizing advertising systems and marketplace dynamics, our ML engineers tackle some of the most interesting and impactful problems in large-scale applied machine learning. We hire Machine Learning Engineers across both our Consumer and Ads organizations, giving you the opportunity to work on a wide range of high-impact problems across the Reddit ecosystem. We are looking for Machine Learning Engineers who are excited to build systems end-to-end, from research and modeling to production deployment, — and who want to help shape the future of discovery, relevance, and monetization at Reddit. If you love working on complex, real-world ML problems at massive scale, this role is for you. What You’ll Work On As a Machine Learning Engineer at Reddit, you will design and build production ML systems that power core experiences across the platform, including: Personalized recommendations, search, and ranking systems that help users discover the most relevant content and communities Intelligent advertising systems including ranking, bidding, measurement, and optimization Content, Advertisers, and User understanding, from building foundational content/user representations to deriving insightful signals Large-scale machine learning pipelines, model serving infrastructure, and real-time decision systems Applied AI and LLM-driven experiences that improve relevance, discovery, and user engagement You’ll work on high-impact systems that operate at internet scale and directly influence user experience, advertiser value, and business outcomes. What You’ll Do Design, build, and deploy production-grade machine learning models and systems at scale Own the full ML lifecycle: from problem definition and feature engineering to training, evaluation, deployment, and monitoring Build scalable data and model pipelines with strong reliability, observability, and automated retraining Work with large-scale datasets to improve ranking, recommendations, search relevance, prediction, content/user understanding, and optimization systems. Partner cross-functionally with Product, Data Science, Infrastructure, and Engineering teams to translate complex problems into ML solutions Improve system performance across latency, throughput, and model quality metrics Research and apply state-of-the-art machine learning and AI techniques, including deep learning, graph & transformers based, and LLM evaluation/alignment Contribute to technical strategy, architecture, and long-term ML roadmap Basic Qualifications 3-5+ years of experience building, deploying, and operating machine learning systems in production Strong programming skills in Python, Java, Go, or similar languages, with solid software engineering fundamentals ML Fundamentals: a strong grasp of algorithms, from classic statistical learning (XGBoost, Random Forests, regressions) to DL architectures (Transformers, CNNs, GNNs) Hands-on experience with modern ML frameworks (e.g., PyTorch, TensorFlow) Experience designing scalable ML pipelines, data processing systems, and model serving infrastructure Ability to work cross-functionally and translate ambiguous product or business problems into technical solutions Experience improving measurable metrics through applied machine learning Preferred Qualifications Experience with recommender systems, search/ranking systems, advertising/auction systems, large-scale representation learning, or multimodal embedding systems Familiarity with distributed systems and large-scale data processing (Spark, Kafka, Ray, Airflow, BigQuery, Redis, etc.) Experience working with real-time systems and low-latency production environments Background in feature engineering, model optimization, and production monitoring Experience with LLM/Gen AI techniques, including but not limited to LLM evaluation, alignment, fine-tuning, knowledge distillation, RAG/agentic systems and productionizing LLM-powered products at scale Advanced degree in Computer Science, Machine Learning, or related quantitative field Potential Teams Ads Measurement Modeling Ads Targeting and Retrieval Advertiser Optimization Ads Marketplace Quality Ads Creative Effectiveness Ads Foundational Representations Ads Content Understanding Ads Ranking Feed Relevance Search and Answers Relevance ML Understanding Notifications Relevance Benefits Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Location: Bulgaria; Croatia; Czechia; Greece; Hungary; Latvia; Lithuania; Poland; Romania; Ukraine Why Cast AI? Cast AI is the leading Application Performance Automation (APA) platform, enabling customers to cut cloud costs, improve performance, and boost productivity – automatically. Built originally for Kubernetes, Cast AI goes beyond cost and observability by delivering real-time, autonomous optimization across any cloud environment. The platform continuously analyzes workloads, rightsizes resources, and rebalances clusters without manual intervention, ensuring applications run faster, more reliably, and more efficiently. Headquartered in Miami, Florida, Cast AI has employees in more than 32 countries worldwide and supports some of the world’s most innovative teams running their applications on all major cloud, hybrid, and on-premises environments. Over 2,100 companies already rely on Cast - from BMW and Akamai to Hugging Face and NielsenIQ. What’s next? Backed by our $108M Series C, we’re doubling down on making APA the new standard for DevOps and MLOps, and everything in between. About the role We are seeking a dynamic and innovative Senior Data Scientist to join our forward-thinking team. In this pivotal role, you will leverage data to drive operational excellence and spearhead the development of sophisticated machine learning models. Collaborate with top-tier Machine Learning and Data Engineers to bring these models into production and provide AI expertise across the organization, ensuring data-driven decision-making and innovative solutions. Requirements: Experience : 5+ years of hands-on experience in data science and machine learning, with a proven portfolio of impactful projects. Modelling Expertise : Experience in training tabular and time-series models using classical machine learning and deep learning approaches. Technical Skills : Proficiency in building data pipelines, training models, and conducting experiments using industry-standard tools. Database Knowledge : Advanced SQL skills, including the ability to debug complex queries and a solid understanding of OLTP vs. OLAP systems (experience with OLAP systems is a plus). Problem-Solving : Exceptional analytical skills with a detail-oriented and innovative approach to challenges. Communication : Strong verbal and written communication skills to collaborate effectively within a team. Bonus points Cloud & Containers : Experience with cloud platforms (AWS, GCP, Azure) and container tools like Kubernetes. ML Pipelines : Expertise in ML pipeline development, including data preprocessing, model training, deployment, and monitoring. MLOps Tools : Familiarity with MLOps tools like MLflow or Feast. OLAP Expertise : Hands-on experience with large-scale OLAP systems such as Clickhouse, BigQuery, or Snowflake. Advanced Modeling : Knowledge of advanced techniques for handling imbalanced datasets and other complex modeling challenges. Responsibilities: Run Data Science Experiments : Design, execute, and evaluate experiments to refine models and improve outcomes. Develop Machine Learning Models : Create, validate, and maintain state-of-the-art algorithms, focusing on both tabular and time-series data Analyze Data : Perform deep-dive data analysis and deliver actionable insights to shape our business strategies. Collaborate : Work closely with cross-functional teams to align data science projects with company goals. Stay Current : Keep up with the latest advancements in data science, cloud technologies, and DevOps. Master Databases : Write, debug, and optimize complex SQL queries while effectively navigating OLAP and OLTP systems. What’s in it for you? Competitive salary (€6,500 - €9,000 gross, depending on the level of experience) Collaborate with a global team of cloud experts and innovators, passionate about pushing the boundaries of Kubernetes technology. Enjoy a flexible, remote-first global environment. Equity options. Private health insurance. Get quick feedback with a fast-paced workflow. Most feature projects are completed in 1 to 4 weeks. Spend 10% of your work time on personal projects or self-improvement. Learning budget for professional and personal development - including access to international conferences and courses that elevate your skills. Annual hackathon to spark new ideas and strengthen team bonds. Team-building budget and company events to connect with your colleagues. Equipment budget to ensure you have everything you need. Extra days off to help maintain a healthy work-life balance. #LI-Remote #LI-Remote

Location: Baku; Serbia; Canada Workplace: onsite ABOUT YOU We’re looking for a Senior Backend Software Engineer who thrives on solving complex technical challenges and building distributed systems that scale. You’re someone who’s comfortable working with Go, embraces microservices architecture, and understands how to build robust, event-driven systems used by millions of users.   You have experience working in containerized environments, designing resilient services, and contributing to system design and infrastructure decisions. You take ownership of your code from design to deployment, and enjoy collaborating with cross-functional teams to deliver high-impact, production-ready solutions.   If you’re passionate about building backend systems that are scalable, observable, and fault-tolerant, and you’re excited by the idea of powering innovative products at the intersection of games, commerce, and data, we’d love to hear from you.   ABOUT US Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.   For more information, visit xsolla.com. Responsibilities Design, build, and maintain backend services that power core products and platforms. Develop event-driven systems using Go, Kafka, and Temporal (or similar orchestration tools). Build scalable microservices in containerized environments using Docker and Kubernetes. Drive architecture decisions that improve performance, resiliency, and maintainability. Collaborate with engineers, product managers, designers, and QA to deliver end-to-end solutions. Own your code in production, monitor, debug, and continuously improve service performance and reliability. Write automated tests and follow CI/CD best practices to ensure high-quality deployments. Participate in code reviews, technical discussions, and knowledge sharing across teams. Qualifications & Skills 5+ years of backend development experience in Go or a similar language. 2+ years of hands-on experience with Kafka or equivalent streaming platforms. Strong understanding of microservices architecture, distributed systems, and event-based communication. Experience working with workflow orchestration tools such as Temporal, Cadence, or similar. Familiarity with cloud infrastructure and container orchestration (e.g., Kubernetes, Docker). Solid understanding of observability, monitoring, and performance optimization. Ability to troubleshoot production issues, analyze system behavior, and drive resolution. Nice to Have Experience with cloud platforms (e.g., AWS, GCP, or Azure). Familiarity with ClickHouse, Postgres, or other analytical/OLAP/OLTP databases. Background in gaming, payments, or commerce systems. Prior experience working on internal platforms or developer-facing tools. The duties and responsibilities of this position may evolve over time to support the organization’s goals and individual growth. This job description is intended to outline the general nature and level of work being performed and is not intended to be an exhaustive list of all duties, responsibilities, and qualifications required. By submitting your application, you consent to Xsolla conducting background checks, where permitted by law, after the final interview stage. All checks will comply with local regulations, and your information will be handled confidentially. Xsolla takes your privacy seriously and will not sell or externally distribute any personal data received during the hiring process. In accordance with applicable data protection laws, Xsolla is committed to protecting your personal information and respecting your privacy. For any inquiries related to data privacy, please contact: careers@xsolla.com Explore more opportunities at: https://xsolla.com/careers

Location: Riyadh, Saudi Arabia Join Müller's Solutions as an AI / Computer Vision Engineer and be part of a dynamic team that is transforming industries through advanced technology. In this role, you will design, develop, and implement computer vision and AI models that address complex challenges and drive innovation in our products and services. Key Responsibilities: Develop and deploy state-of-the-art computer vision algorithms for various applications. Collaborate with product teams to understand requirements and translate them into technical specifications. Analyze large datasets to extract insights and improve model performance. Test and validate AI solutions to ensure high accuracy and reliability. Participate in code reviews and contribute to best practices in software development. Keep abreast of the latest advancements in AI and computer vision and integrate relevant technologies into existing systems. Research and present findings on new methodologies and approaches in the field. Requirements Qualifications: Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field. Proven experience in AI and computer vision technologies, including deep learning frameworks (e.g., TensorFlow, PyTorch). Strong programming skills in Python and familiarity with OpenCV. Experience with data handling, preprocessing, and training machine learning models. Solid understanding of algorithms and data structures. Familiarity with cloud computing platforms and tools. Exceptional problem-solving skills and the ability to work in a collaborative environment. Strong communication skills to effectively convey complex ideas to both technical and non-technical stakeholders. Benefits Why Join Us: Opportunity to work with a talented and passionate team. Competitive salary and benefits package. Exciting projects and innovative work environment.

Location: Global Workplace: Remote Job description Our core mission at Railway is to let developers create, ship and operate software with minimal friction. Fundamental to that mission is an array of rock-solid and composable primitives, principal among these - storage. As a Storage Engineer you will build, evolve and operate the systems that allow Railway to host stateful workloads. Railway operates across multiple colocation datacenters and large fleets of cloud VMs. This demands we build high-availability primitives that “work anywhere” and that can migrate between different environments with minimal (ideally zero) downtime. Moving storage is the hardest challenge in this task, and it has required us to invest in building custom systems from first-principles. You will principally be working on our new log structured block-storage system that is designed for performance, high-density and high-availability across cloud and baremetal environments. Want to learn about our work culture? Here is a three-part blog series that will help you see the unique ways our team works (Parts 1 https://blog.railway.app/p/how-we-work, 2 https://blog.railway.app/p/how-we-work-volume-ii, 3 https://blog.railway.app/p/how-we-work-volume-iii, and 4 https://blog.railway.com/p/how-we-work-volume-iv). Curious? Here are 3 blog posts that dive into exciting projects this team has worked on: 1 https://blog.railway.com/p/launch-week-01-scale-to-zero, 2 https://blog.railway.com/p/data-center-build-part-one, 3 https://blog.railway.com/p/data-center-build-part-two ABOUT THE ROLE For this role, you will: - Lead the development of Railway's block storage systems - Support the operation of storage systems and participate in on-call rotations - Drive the specification of storage server hardware - Build systems to support capacity planning - Design and build interfaces with orchestration services to support coordinated workflows such as on-line backups and zero-downtime/live workload migration - Write Engineering Requirement Documents to take something from idea, to defined tasks, to implementation, to monitoring its success - Set the longer-term architectural direction to scale the platform This is a high impact, high agency role with direct effect on company culture, trajectory, and outcome. ABOUT YOU You should meet one or more of the following requirements: - You've built and operated distributed storage systems and have a strong grasp of first-principles. - You have strong systems engineering experience in one or more of: filesystems, block devices, kernel I/O paths, SPDK, io_uring, vhost-user-blk, ublk or virtualization - You have a deep understanding of the algorithms and techniques behind building fast, performant and reliable storage systems. - You have experience building large distributed systems where consistency and availability was critical. - You have a strong background in performance engineering at the I/O layer on Linux. - You have strong foundation in systems programming with Rust. - You're comfortable owning a problem alone at a small company. - You have a solid intuition about how long your solutions will last. All systems age. In startups, we can hope for 2-3 orders of magnitude, or 12-18 months. - You have the grit to dive into a problem, implement a solution, scale that solution, and replace it when needed. - You communicate well enough to get your point across, your solution implemented, and documented for when you're not around. If your background is in adjacent infrastructure (hypervisor I/O, kernel development, distributed systems, persistent memory) and you want to apply that depth to storage, we want to hear from you. We value and love to work with diverse persons from all backgrounds Things to know For better or worse, we're a startup; our team dynamics are different from companies of different sizes and stages. - We're distributed ALL across the globe, and that's only going to be more and more distributed. As a result, stuff is ALWAYS happening. - We do NOT expect you to work all the time, but you'll have to be diligent about your boundaries because the end of your day may overlap with the start of someone else's. - We're a small team, with high ownership, who are not only passionate about what we do, but seek to be exceptional as well. At the time of writing we're 21, serving hundreds of thousands of users. There's a lot of stuff going on, and a lot of ambiguity. - We want you to own it. We believe that ownership is a key to growth, and part of that growth is not only being able to make the choices, but owning the success, or failure, that comes with those choices. Benefits and perks At Railway, we provide best in class benefits. Great salary, full health benefits including dependents, strong equity grants, equipment stipend, and much more. For more details, check back on the main careers page https://railway.app/careers/full-stack. Beyond compensation, there are a few things that we believe that make working at Railway truly unique: - Autonomy: We have very few meetings. Just a Monday and a Friday to go over the Company Board. We think your time is sacred, whether it's at work, or outside of work. - Ownership: We're a company with a high ownership, high autonomy culture. We hope that you'll come in, help us, and over the course of many years do the best work of your life. When we bring you onboard, we expect you to change the company. - Novel problems/solutions: We're a startup that's well funded, with cool problems, which lets us implement novel solutions! We abhor “busywork” and think, whether it's community, engineering, operations, etc there's always opportunity for creative and high leverage solutions. - Growth: We want you to grow with us, but we know that talent is loaned, so when you figure out what area you want to grow in next, whether it's at Railway or outside, we'll make sure you land there. How we hire No tricks. No surprises. Here's the entire process: 1. Talk with us about the role - This is completely open ended and we're just trying to see who you are, what you want to do, and where you wanna go. 2. Work on a small project to discuss in the interview - Asynchronously implement the following: - Pre-interview: Design a Storage Engine to power something like Railway's Volume - You can, and SHOULD! ask us questions ahead of time. 3. Review your solution with the Team 1. You'll sit down with someone on the team and go over the above. We'll poke into your solution, as well as get you acquainted with two more members of the team. 1. Looking for: Learn about your problem solving skills. How you break down a problem and how you present a solution. 2. Interview Structure (60 Minutes): 1. Prework (submitted before your interview): Complete your solution 2. 0-5m: introduction 3. 5-50m: Building (or expanding) your solution 4. 50-60m: Questions on Railway/Tech/etc 4. Meet the Team 1. You'll meet the Team, which will be comprised of 4 people from vastly different sections of the company. 1. Looking for: How you work with the rest of the team and communicate. 5. Offer and Details Chat with CEO 1. Finally, we will go over the process, the role, and hammer out the details about your position, onboarding, and all the deets. #Global

Location: Luxembourg; Birmingham, United Kingdom; London, United Kingdom; Manchester, United Kingdom; Paris, France; Madrid, Spain; Bucuresti, Romania; Rome, Italy; Rostock, Germany; Zagreb, Croatia; Aachen, Germany; Augsburg, Germany; Berlin, Germany; Dresden, Germany; Düsseldorf, Germany; Essen, Germany; Frankfurt, Germany; Freiburg, Germany; Hamburg, Germany; Hannover, Germany; Kiel, Germany; Koln, Germany; Leipzig, Germany; Magdeburg, Germany; Munich, Germany; Münster, Germany; Stuttgart, Germany; Poznan, Poland; Warsaw, Poland; Krakow, Poland; Lublin, Poland; Athens, Greece; Praha, Czechia; Budapest, Hungary; Wien, Austria; Brussels, Belgium; Amsterdam, Netherlands Workplace: on-site At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a Senior EmbeddedSoftware Engineer to join one of our clients' teams. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you. ABOUT THE CLIENT Our client is an innovative aerospace technology company that is transforming system integration through AI-driven interoperability. Their core platform streamlines satellite integration workflows by enabling modular connectivity between payloads, components, and subsystems. It converts hardware specifications into digital twins and automatically generates, tests, and validates on-board middleware software that is both hardware- and OS-agnostic. This web-based collaborative tool supports mission-critical projects, allowing teams to efficiently model, test, and simulate data interfaces for satellites, spacecraft, and lunar landers. NOTE: this position requires working on-site and relocation to Luxembourg. JOB DESCRIPTION: As Senior Embedded Software Engineer, you will architect, implement, and maintain our hardware-agnostic and OS-agnostic on-board software framework. Your work in collaboration with the AI team will enable integration of any hardware into any bus in less than a day instead of months, ensuring robustness, safety, and performance across Linux and real-time operating systems. What You’ll Do 1. Platform & Abstraction ▪ Design and develop a hardware-agnostic HAL and middleware stack in C/C++, supporting ARM Cortex-A/R/M, RISC-V, etc. ▪ Create OS-agnostic abstraction layers to target Linux (Yocto/Ubuntu) and RTOS (FreeRTOS, Zephyr, RTEMS) with minimal code divergence. 2. Driver & Protocol Implementation ▪ Implement and maintain bus-protocol drivers (I2C, SPI, UART) with multi-bus and multi-instance support for redundancy. ▪ Define and adhere to clear software-to-hardware interface contracts (ICDs/datasheet-driven), ensuring consistent behavior across platforms. 3. Architecture & Best Practices ▪ Apply OOP principles in C++ and structured design in C to build modular, testable components. ▪ Enforce MISRA C/C++ and CERT Secure Coding guidelines; integrate static analysis, code reviews, and Git-based CI pipelines. 4. Automation & Testing ▪ Develop Python scripts to automate configuration of the on-board software, automate build, flashing, and validation across multiple target boards. ▪ Build and maintain hardware-in-the-loop and software-in-the-loop test frameworks to continuously test, validate, and verify the on-board software and platform compatibility. 5. Collaboration & Mentorship ▪ Collaborate with the Software Lead, AI Engineer and Backend team ▪ Mentor junior engineers, share knowledge on cross-platform strategies, and foster an iterative “try, learn, improve” culture. Required Qualifications 1. Bachelor’s or Master’s in Electrical Engineering, Computer Engineering, Computer Science, or equivalent 2. 5+ years of embedded software development, with emphasis on cross-platform or portable code 3. Expert in C (99/11) and Modern C++ (11/14/17); solid understanding of OOP and procedural design 4. Deep experience with I2C, SPI, UART (multi-bus, multi-device patterns) 5. Proven ability to develop for both Linux (Yocto, Ubuntu) and RTOS (FreeRTOS, Zephyr, RTEMS) 6. Python scripting for coding, build/test automation 7. Familiarity with hardware debugging (JTAG/SWD, logic analyzers, oscilloscopes) 8. Strong version control workflow (Git, GitFlow) and CI/CD integration Nice-to-Have 1. Background in satellite or aerospace on-board computers (OBCs) and Flight Software Frameworks. 2. Exposure to container-based CI for embedded builds (Docker) 3. Knowledge of additional field buses (CAN/CAN-FD, MIL-STD, etc.) 4. Experience with secure boot or firmware-update mechanisms 5. Prior work on middleware or plugin frameworks

Location: Nassau, Bahamas; Kingston, Jamaica; Port of Spain, Trinidad and Tobago; Madrid, Spain We’re seeking a mid-level Interior Designer with 4–5 years of experience in residential projects to support the production of detailed Revit-based interior design drawing sets. This role goes beyond technical modeling — we’re looking for a designer who can contribute creative ideas , make informed design decisions, and add real value to each project. The ideal candidate will combine technical precision with strong design sensibility, working independently and collaboratively to elevate our work. Requirements Key Requirements: 4–5 years of experience in residential interior design using Revit Proven experience producing full ID sets Strong understanding of materials, millwork, shelving, and practical construction dimensions Creative mindset with a strong eye for interior design and a proactive approach to design challenges Solid design sensibility with the ability to make thoughtful, aesthetic decisions Fluency in English is mandatory Experience in the U.S. market will be valued Effective communicator with initiative and ability to understand drawings deeply Available to work Florida hours (Eastern Time) Comfortable storing and working from client’s BIMcloud Benefits Work for the most exciting companies in the North American Market. Flexible schedules. Work from anywhere. Highly competitive compensation.

Location: Cape Town, South Africa We’re seeking a mid-level Interior Designer with 4–5 years of experience in residential projects to support the production of detailed Revit-based interior design drawing sets. This role goes beyond technical modeling — we’re looking for a designer who can contribute creative ideas , make informed design decisions, and add real value to each project. The ideal candidate will combine technical precision with strong design sensibility, working independently and collaboratively to elevate our work. Requirements Key Requirements: 4–5 years of experience in residential interior design using Revit Proven experience producing full ID sets Strong understanding of materials, millwork, shelving, and practical construction dimensions Creative mindset with a strong eye for interior design and a proactive approach to design challenges Solid design sensibility with the ability to make thoughtful, aesthetic decisions Fluency in English is mandatory Experience in the U.S. market will be valued Effective communicator with initiative and ability to understand drawings deeply Available to work Florida hours (Eastern Time) Comfortable storing and working from client’s BIMcloud Benefits Work for the most exciting companies in the North American Market. Flexible schedules. Work from anywhere. Highly competitive compensation.

Location: San José, Costa Rica We’re seeking a mid-level Interior Designer with 4–5 years of experience in residential projects to support the production of detailed Revit-based interior design drawing sets. This role goes beyond technical modeling — we’re looking for a designer who can contribute creative ideas , make informed design decisions, and add real value to each project. The ideal candidate will combine technical precision with strong design sensibility, working independently and collaboratively to elevate our work. Requirements Key Requirements: 4–5 years of experience in residential interior design using Revit Proven experience producing full ID sets Strong understanding of materials, millwork, shelving, and practical construction dimensions Creative mindset with a strong eye for interior design and a proactive approach to design challenges Solid design sensibility with the ability to make thoughtful, aesthetic decisions Fluency in English is mandatory Experience in the U.S. market will be valued Effective communicator with initiative and ability to understand drawings deeply Available to work Florida hours (Eastern Time) Comfortable storing and working from client’s BIMcloud Benefits Work for the most exciting companies in the North American Market. Flexible schedules. Work from anywhere. Highly competitive compensation.

Location: Castries, Saint Lucia We’re seeking a mid-level Interior Designer with 4–5 years of experience in residential projects to support the production of detailed Revit-based interior design drawing sets. This role goes beyond technical modeling — we’re looking for a designer who can contribute creative ideas , make informed design decisions, and add real value to each project. The ideal candidate will combine technical precision with strong design sensibility, working independently and collaboratively to elevate our work. Requirements Key Requirements: 4–5 years of experience in residential interior design using Revit Proven experience producing full ID sets Strong understanding of materials, millwork, shelving, and practical construction dimensions Creative mindset with a strong eye for interior design and a proactive approach to design challenges Solid design sensibility with the ability to make thoughtful, aesthetic decisions Fluency in English is mandatory Experience in the U.S. market will be valued Effective communicator with initiative and ability to understand drawings deeply Available to work Florida hours (Eastern Time) Comfortable storing and working from client’s BIMcloud Benefits Work for the most exciting companies in the North American Market. Flexible schedules. Work from anywhere. Highly competitive compensation.