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Location: Belgrade, Serbia; Cluj-Napoca, Romania; Krakow, Poland; Larnaca, Cyprus; Lodz, Poland; Lublin, Poland; Montevideo, Uruguay; Remote.AR, Remote.LATAM-country; Remote.BR, Brazil; Remote.BG, Bulgaria; Remote.CO, Colombia; Remote.GE, Georgia; Remote.PL, Poland; Riga, Latvia; Rosario, Remote.LATAM-country; Sofia, Bulgaria; Tbilisi, Georgia; Varna, Bulgaria; Warsaw, Poland; Wroclaw, Poland DataArt is a global software engineering firm and a trusted technology partner for market leaders and visionaries. Our world-class team designs and engineers data-driven, cloud-native solutions to deliver immediate and enduring business value. We promote a culture of radical respect, prioritizing your personal well-being as much as your expertise. We stand firmly against prejudice and inequality, valuing each of our employees equally. We respect the autonomy of others before all else, offering remote, onsite, and hybrid work options. Our Learning and development centers, R&D labs, and mentorship programs encourage professional growth. Our long-term approach to collaboration with clients and colleagues alike focuses on building partnerships that extend beyond one-off projects. We provide the ability to switch between projects and technology stacks, creating opportunities for exploration through our learning and networking systems to advance your career. We are seeking a professional with a deep understanding of AI technologies and hands-on experience with generative AI, large language models (LLMs), LangChain frameworks, cloud services, and MLops, including model training and deployment practices. In this project, you will be part of the AI Lab core team, working on diverse initiatives focused on AI-driven transformation. You will collaborate closely with AI Lab leaders to improve productivity, drive innovation, and reduce operational costs across various industries. Strategically lead and advise on AI initiatives, ensuring alignment with the AI Lab and overall company objectives Work alongside diverse client teams to assess business requirements and design tailored AI solutions that integrate generative AI, LLMs, and MLops practices Present recommendations and proposals to current and prospective AI clients by showcasing innovative offerings and business value Lead and develop the Proof of Concepts (POCs) and Accelerator projects, incorporating advanced cloud integration and generative AI technologies Stay up to date on industry trends and advancements, fostering a culture of continuous learning and innovation within the team, and disseminating relevant insights to clients and internal groups Minimum of 4 years of practical experience in the implementation and leadership of AI/ML projects Practical experience in AI roles such as Consultant or AI Solution Architect Master’s/Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field Demonstrable hands-on experience implementing AI/ML solutions in a business context Proven experience with at least one major cloud platform (AWS, GCP, or Azure) Expertise in Generative AI/LLMs; candidates should be comfortable working with modern frameworks and tools such as LangChain A solid understanding of MLOps practices, including setting up model training pipelines, continuous integration/deployment, and monitoring ML models Strong communication and leadership skills to collaborate with cross-functional teams, present proposals, and manage stakeholder expectations

Location: Istanbul, Turkey P.I. Works is the first company in the world to automate the management of a commercial 5G network. Our automated network management products and services empower Mobile Operators to accelerate network transformation and to drive network quality and efficiency on the path to 5G. These solutions have been deployed across 84 mobile network operators in 58 countries around the world. Come and join us to work with the leading telecom operators around the world and redefine the mobile experience worldwide by contributing to our research and development efforts. What you will have An opportunity to work with some of the brightest minds in the Software & Telecom industry. Hands-on opportunities to learn from the best and put your knowledge and skills to work A mentor to help you build and develop your potential A friendly, open and collaborative environment that thrives on learning and practicing Job Description: Design, delivery and customization of Radio Network Optimization & Planning automation solutions Participate in technical meetings, monitor products performance, prepare module/feature activation reports, perform acceptance tests and highlight benefits of company products Provide L3 support for active customers and feedback to product and development teams Requirements for the position Pursuing a degree in Telecommunications or Electrical and Electronics Engineering programs Being in his/her final year, or recently graduated Telecommunication domain know-how and working experience is a plus Oracle PL/SQL knowledge is a plus Excellent verbal and written communication skills in English Enthusiastic team player, a positive thinker, self-motivated, willing to learn and customer-centric. Passionate about trying new things An excellent communicator and team player Available at least 4 days a week (at the office) Apply today and unlock your potential!

Location: Istanbul, Turkey P.I. Works is the first company in the world to automate the management of a commercial 5G network. Our automated network management products and services empower Mobile Operators to accelerate network transformation and to drive network quality and efficiency on the path to 5G. These solutions have been deployed across 85 mobile network operators in 58 countries around the world. Come and join us to work with the leading telecom operators around the world and redefine the mobile experience worldwide by contributing to our research and development efforts. What you will have: · An opportunity to work with some of the brightest minds in the Software & Telecom industry. · Hands-on opportunities to learn from the best and put your knowledge and skills to work · A mentor to help you build and develop your potential · A friendly, open and collaborative environment that thrives on learning and practicing Job Description: · Design, Delivery and Customization of standard & pre-identified KPIs and Parameter Audit/Inconsistency reports · Create custom dashboards and automated reports on key business metrics for various use cases · Analyze existing baseline network parameter settings and tune audit reports accordingly · Participate in technical meetings, monitor products performance, prepare module/feature activation reports, perform acceptance tests and highlight benefits of company products · Provide L3 support for active customers and feedback to product and development teams Requirements for the position: · Pursuing a degree in Telecommunications and Electronics Engineering programs · Being in his/her final year · Telecommunication domain know-how and working experience is a plus · Basic DB and SQL knowledge · Excellent verbal and written communication skills in English · Enthusiastic team player, a positive thinker, self-motivated, willing to learn, and customer-centric. · Passionate about trying new things · An excellent communicator and team player · Ability to be physically present in the office a minimum of 4 days per week to collaborate effectively with cross-functional teams Apply today and unlock your potential!

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's production models undergo sophisticated post-training processes to enhance their capabilities, alignment, and safety. As a Research Engineer on our Post-Training team, you'll train our base models through the complete post-training stack to deliver the production Claude models that users interact with. You'll work at the intersection of cutting-edge research and production engineering, implementing, scaling, and improving post-training techniques like Constitutional AI, RLHF, and other alignment methodologies. Your work will directly impact the quality, safety, and capabilities of our production models. Note: For this role, we conduct all interviews in Python. This role may require responding to incidents on short-notice, including on weekends. Responsibilities: Implement and optimize post-training techniques at scale on frontier models Conduct research to develop and optimize post-training recipes that directly improve production model quality Design, build, and run robust, efficient pipelines for model fine-tuning and evaluation Develop tools to measure and improve model performance across various dimensions Collaborate with research teams to translate emerging techniques into production-ready implementations Debug complex issues in training pipelines and model behavior Help establish best practices for reliable, reproducible model post-training You may be a good fit if you: Thrive in controlled chaos and are energised, rather than overwhelmed, when juggling multiple urgent priorities Adapt quickly to changing priorities Maintain clarity when debugging complex, time-sensitive issues Have strong software engineering skills with experience building complex ML systems Are comfortable working with large-scale distributed systems and high-performance computing Have experience with training, fine-tuning, or evaluating large language models Can balance research exploration with engineering rigor and operational reliability Are adept at analyzing and debugging model training processes Enjoy collaborating across research and engineering disciplines Can navigate ambiguity and make progress in fast-moving research environments Strong candidates may also: Have experience with LLMs Have a keen interest in AI safety and responsible deployment We welcome candidates at various experience levels, with a preference for senior engineers who have hands-on experience with frontier AI systems. However, proficiency in Python, deep learning frameworks, and distributed computing is required for this role. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $350,000 — $500,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the teams Our Reinforcement Learning teams lead Anthropic's reinforcement learning research and development, playing a critical role in advancing our AI systems. We've contributed to all Claude models, with significant impacts on the autonomy and coding capabilities of Claude Sonnet 4.5 and Opus 4.5. Our work spans several key areas: Developing systems that enable models to use computers effectively Advancing code generation through reinforcement learning Pioneering fundamental RL research for large language models Building scalable RL infrastructure and training methodologies Enhancing model reasoning capabilities We collaborate closely with Anthropic's alignment and frontier red teams to ensure our systems are both capable and safe. We partner with the applied production training team to bring research innovations into deployed models, and are dedicated to implement our research at scale. Our Reinforcement Learning teams sit at the intersection of cutting-edge research and engineering excellence, with a deep commitment to building high-quality, scalable systems that push the boundaries of what AI can accomplish. About the Role As a Research Engineer within Reinforcement Learning, you will collaborate with a diverse group of researchers and engineers to advance the capabilities and safety of large language models. This role blends research and engineering responsibilities, requiring you to both implement novel approaches and contribute to the research direction. You'll work on fundamental research in reinforcement learning, creating 'agentic' models via tool use for open-ended tasks such as computer use and autonomous software generation, improving reasoning abilities in areas such as mathematics, and developing prototypes for internal use, productivity, and evaluation. Representative projects: Architect and optimize core reinforcement learning infrastructure, from clean training abstractions to distributed experiment management across GPU clusters. Help scale our systems to handle increasingly complex research workflows. Design, implement, and test novel training environments, evaluations, and methodologies for reinforcement learning agents which push the state of the art for the next generation of models. Drive performance improvements across our stack through profiling, optimization, and benchmarking. Implement efficient caching solutions and debug distributed systems to accelerate both training and evaluation workflows. Collaborate across research and engineering teams to develop automated testing frameworks, design clean APIs, and build scalable infrastructure that accelerates AI research. You may be a good fit if you: Are proficient in Python and async/concurrent programming with frameworks like Trio Have experience with machine learning frameworks (PyTorch, TensorFlow, JAX) Have industry experience in machine learning research Can balance research exploration with engineering implementation Enjoy pair programming (we love to pair!) Care about code quality, testing, and performance Have strong systems design and communication skills Are passionate about the potential impact of AI and are committed to developing safe and beneficial systems Strong candidates may have: Familiarity with LLM architectures and training methodologies Experience with reinforcement learning techniques and environments Experience with virtualization and sandboxed code execution environments Experience with Kubernetes Experience with distributed systems or high-performance computing Experience with Rust and/or C++ Strong candidates need not have: Formal certifications or education credentials Academic research experience or publication history Deadline to apply: None. Applications will be reviewed on a rolling basis. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $500,000 — $850,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Belgrade; London; Berlin Perplexity is looking for a highly skilled Senior or Expert Systems Engineer to join our Search Core team. This role is critical to building next-generation search products and technologies. You will help drive key decisions around the architecture, design, and implementation of foundational components in our technical stack. Responsibilities - Design and build core search engine components, including indexing pipelines, retrieval algorithms, and ranking systems that operate at the scale of billions of pages - Develop streaming and batch data processing systems for search index construction in a high-load environment - Push the limits of hardware performance through low-level optimizations and systems-level tuning - Tackle challenges in multithreading, concurrency, and system-level optimization Qualifications - 3+ years of hands-on experience in systems programming (Rust, C++, C, or similar) - Ownership of full project lifecycle — you don't just write a fast inner loop, you care about how the system is built, deployed, operated, and scaled in production - Knowledge of Python or other scripting languages - Passion for writing clean, efficient, and scalable systems-level code - Strong knowledge of algorithms and data structures, and the ability to apply them effectively - Deep understanding of multithreading, including various approaches, challenges, and trade-offs - Experience building high-load, distributed, and hardware-adjacent services - Solid understanding of Linux internals (syscalls, networking stack, memory model, kernel tuning) - Familiarity with low-level optimization techniques (memory management, cache efficiency, SIMD, profiling) Preferred Qualifications - Experience developing core components of search engines, databases, or information retrieval systems - Understanding of search fundamentals: indexing, query parsing, ranking, and relevance - Experience with trading systems or other latency-sensitive real-time systems - Familiarity with cloud services, Kubernetes, and AWS infrastructure

Location: Belgrade; London; Berlin Perplexity is looking for a highly skilled Senior or Expert Systems Engineer to join our Search Core team. This role is critical to building next-generation search products and technologies. You will help drive key decisions around the architecture, design, and implementation of foundational components in our technical stack. Responsibilities - Design and build core search engine components, including indexing pipelines, retrieval algorithms, and ranking systems that operate at the scale of billions of pages - Develop streaming and batch data processing systems for search index construction in a high-load environment - Push the limits of hardware performance through low-level optimizations and systems-level tuning - Tackle challenges in multithreading, concurrency, and system-level optimization Qualifications - 3+ years of hands-on experience in systems programming (Rust, C++, C, or similar) - Ownership of full project lifecycle — you don't just write a fast inner loop, you care about how the system is built, deployed, operated, and scaled in production - Knowledge of Python or other scripting languages - Passion for writing clean, efficient, and scalable systems-level code - Strong knowledge of algorithms and data structures, and the ability to apply them effectively - Deep understanding of multithreading, including various approaches, challenges, and trade-offs - Experience building high-load, distributed, and hardware-adjacent services - Solid understanding of Linux internals (syscalls, networking stack, memory model, kernel tuning) - Familiarity with low-level optimization techniques (memory management, cache efficiency, SIMD, profiling) Preferred Qualifications - Experience developing core components of search engines, databases, or information retrieval systems - Understanding of search fundamentals: indexing, query parsing, ranking, and relevance - Experience with trading systems or other latency-sensitive real-time systems - Familiarity with cloud services, Kubernetes, and AWS infrastructure

Location: Berlin (Germany) Join us as a (Senior) Full Stack Developer - Web (f/m/d) in Berlin Our Story We are looking for a Senior Full Stack Developer (Web Platform) to help shape and scale thinkcell’s web platform and enable multiple teams to efficiently manage and publish content. This is not a role for someone who only wants to work within a fixed web stack or maintain existing templates. We are looking for a web engineer who enjoys solving complex technical problems, making sound architectural decisions, and building systems that remain robust and maintainable as requirements evolve. You will work across frontend and backend, improve the technical foundation of our web platform, and help us build scalable solutions that enable our teams to manage and publish content. Along the way, you will collaborate closely with stakeholders across design, marketing, product and engineering but with strong ownership over technical quality, long-term maintainability, and the overall direction of the platform. What you will do Design, build, and evolve our web platform features across front-end and CMS back-end. Solve complex technical problems in a pragmatic way, balancing speed of delivery with long-term maintainability Drive architectural improvements that make our web ecosystem more robust, scalable, and easier to work with Build and improve our back-end functionality in PHP and Laravel for integrations, dynamic features, and internal tooling Extend and optimize our CMS and publishing workflows to support efficient content operations without compromising technical quality Improve performance, Core Web Vitals, accessibility, and technical SEO foundations across the platform Work on the evolution of our current web architecture, while also challenging existing approaches when better solutions exist Collaborate with design, marketing, product, and engineering teams to turn business requirements into well-structured technical solutions Interface with back-end systems written in C++, ensuring reliable and efficient data exchange across system boundaries Identify opportunities to improve developer experience, reduce complexity, and raise the overall engineering standard of the platform Take ownership of technical tasks and help define best practices for modern web development at think-cell What we are looking for Strong experience building and shipping production-grade web platforms, applications, or systems A proven ability to solve non-trivial technical problems and work confidently in complex web related codebases Strong full stack engineering skills, with solid backend experience in PHP, Laravel, or similar technologies and a frameworks Strong frontend fundamentals, including HTML, CSS, JavaScript and modern approaches to building maintainable user interfaces Good judgment when making architectural and technical trade-offs A pragmatic mindset: you know when to build for flexibility and when to keep things simple Curiosity and confidence to work with unfamiliar technologies or domains when needed A strong sense of ownership and responsibility for code quality, maintainability, and technical outcomes Experience collaborating across disciplines and communicating clearly with technical and non-technical stakeholders in English Nice to have Experience with Statamic CMS Experience with static site generation challenges Experience with Deployment Tools such as Jenkins or similar tools Familiarity with Tailwind, Alpine.js, or similar frontend tools Experience improving performance-critical, SEO-relevant, or content-heavy platforms Familiarity with Python for automation or tooling Experience integrating with non-web backend systems or services Our Values As part of our team, you will embody and help shape the following principles that define us: Forward Thinking : We embrace change and challenge the status quo. Ownership : We take pride in our work and learn from our mistakes. Customer First : We prioritize delivering lasting value. Unified Team : We foster collaboration, respect, and integrity. Strive for Excellence : We set ambitious goals and pursue quality. Why is thinkcell the right place for you? We empower over 1.3 million users across 35,000 companies, including top consulting firms and major global enterprises. With offices in Berlin, Munich, Denver, Boston, London, Tokyo, and Dubai, we’re a diverse team of over 220 people, committed to innovation and excellence. think-cell is more than a job – it's a chance to be part of an innovative, inclusive team that values collaboration and growth. We encourage applicants from all backgrounds to apply. Together, we can shape the future of productivity software. We can’t wait to see what you’ll bring to the team!

Location: Philippines; Cavite, Philippines; Manila, Philippines; Taguig, Philippines; Cebu, Philippines REMOTE: Senior Software Engineer - Full Stack Developer Job Description: We are seeking a highly skilled Senior Software Engineer with expertise in Microsoft SQL Server and SQL Server Reporting Services (SSRS) to join our dynamic Development Team. This role is ideal for a full stack developer who thrives across the entire software development lifecycle—designing and optimizing databases (backend), building robust business logic and applications (middle tier), and crafting intuitive, user-friendly interfaces (frontend). The successful candidate will play a key role in developing custom applications and complex reports, integrating them into web or desktop platforms, and delivering tailored technical solutions to meet organizational needs. This position offers the opportunity to work on enterprise-level systems, with a focus on educational institutions, student information systems (SIS), or learning management systems (LMS). If you’re proactive, detail-oriented, and passionate about translating business requirements into innovative software solutions, we’d love to hear from you. Basic Functions: ■ Design, develop, and maintain custom applications and complex reports using Microsoft SQL Server, T-SQL, SSRS, and tools like .NET or similar frameworks. ■ Perform all phases of the system development lifecycle: planning, design, development, implementation, deployment, and maintenance. ■ Optimize database structures and queries for performance and scalability. ■ Create and integrate user-friendly front-end interfaces with backend systems. ■ Document solutions through clear code, flowcharts, diagrams, and technical documentation. ■ Conduct software testing, debugging, and quality assurance to ensure reliable updates and deployments. ■ Collaborate with stakeholders to understand business needs and deliver tailored technical solutions. ■ Provide training and support to clients or internal teams on application maintenance and updates. ■ Contribute to the continuous improvement of the Development Team and internal software processes. Additional Duties and Responsibilities: ■ Enhance customer service and satisfaction through effective communication and timely delivery of solutions. ■ Escalate and resolve development challenges within agreed service levels, keeping stakeholders informed of progress and changes. ■ Maintain in-depth knowledge of our software and its alignment with customer goals, particularly in educational or enterprise contexts. ■ Track time, expenses, and project tasks using the appropriate tools (training provided). Knowledge, Skills, and/or Abilities Required: ■ Proven expertise in Microsoft SQL Server, T-SQL, and SSRS report design. ■ Full stack development experience with proficiency in .NET or similar frameworks. ■ Strong skills in database design, optimization, and integration with web or desktop platforms. ■ Familiarity with enterprise systems such as SIS, LMS, ERP, CRM, HRMS, Library Management Systems, Admissions and Enrollment Management Systems, Facilities and Campus Management Systems, or Analytics/BI Tools (e.g., Power BI). ■ Experience working with educational institutions or similar complex organizational environments is a plus. ■ Excellent interpersonal and communication skills, with the ability to translate technical concepts for non-technical stakeholders. ■ Ability to manage multiple priorities in a fast-paced environment while maintaining attention to detail. ■ Self-motivated, proactive, and adept at problem-solving and technical diagnostics. Educational/Vocational/Previous Experience Recommendations: ■ BA/BS in computer science, software development, or a related field (MBA/MS preferred but not required). ■ 5+ years of development experience, with a focus on SQL Server, SSRS, and full stack application development.

Location: Belgrade; London; Berlin Workplace: Hybrid Perplexity is seeking an experienced Machine Learning Engineer to help build the next generation of advanced search technologies, with a focus on retrieval and ranking. Responsibilities - Relentlessly push search quality forward—through models, data, tools, or any other leverage available - Architect and build core components of our search platform and model stack - Train and evaluate retrieval, ranking and classification models, including LLMs - Deploy models - from boosting to LLMs - in a scalable and performant way - Build and optimize RAG pipelines for grounding and answer generation - Collaborate with Data, AI, Infrastructure and Product teams to ensure fast and high quality delivery Qualifications - Deep understanding of search and retrieval systems, including quality evaluation principles and metrics - Proven track record with large-scale search or recommender systems - Self-driven, with a strong sense of ownership and execution - Minimum of 5 years of working on search or recsys-related projects

Location: Belgrade; London; Berlin Workplace: Hybrid Perplexity is seeking an experienced Machine Learning Engineer to help build the next generation of advanced search technologies, with a focus on retrieval and ranking. Responsibilities - Relentlessly push search quality forward—through models, data, tools, or any other leverage available - Architect and build core components of our search platform and model stack - Train and evaluate retrieval, ranking and classification models, including LLMs - Deploy models - from boosting to LLMs - in a scalable and performant way - Build and optimize RAG pipelines for grounding and answer generation - Collaborate with Data, AI, Infrastructure and Product teams to ensure fast and high quality delivery Qualifications - Deep understanding of search and retrieval systems, including quality evaluation principles and metrics - Proven track record with large-scale search or recommender systems - Self-driven, with a strong sense of ownership and execution - Minimum of 5 years of working on search or recsys-related projects

Location: Athens; Limassol; Nicosia Workplace: hybrid The Role:  The Data Science team at XM is seeking a skilled Data Engineer with a strong background in data science. The ideal candidate should have extensive experience in designing, building, and maintaining data infrastructure and pipelines that support machine learning models and large-scale analytics. The role involves close collaboration with data scientists, data analysts, and other stakeholders to ensure data quality and accessibility, driving data-driven decision-making and implementing AI solutions across the organization. The main responsibilities of the position include: Design, develop, and maintain scalable data pipelines for data transformation and preparation. Prepare datasets for data analysts and data scientists for exploratory data analysis, A/B testing, model training, and validation. Ensure data quality and consistency across various sources. Deploy machine learning models and AI tools to production environments. Collaborate with data scientists to improve data models and support business intelligence tools. Build and maintain data warehousing solutions. Enforce data governance and security policies. Work with cross-functional teams to understand data requirements and provide technical solutions. Mentor junior data engineers and provide technical guidance. Main requirements: MSc or PhD in Data Science, Computer Science, Physics, Mathematics, or a related field. 4+ years of experience with a focus on data engineering and Python software development (Pandas, NumPy, Scikit-learn) Experience with AWS, Google Cloud, or Azure cloud services Extensive experience with relational and non-relational databases. Proven experience with machine learning. Demonstrated experience in big data processing and analytics. Strong analytical thinking and problem-solving abilities. Effective communication skills to convey data-driven insights. Fluency in English Language Benefit from: Attractive remuneration package Private health insurance Corporate pension fund Intellectually stimulating work environment Continuous personal development and international training opportunities The Hiring Experience: What Awaits You Let’s Connect – Intro Chat with Talent Acquisition Deep Dive – First Interview with Your Future Team Bring It to Life – Role-Specific Take-Home Task Final Connection – Final Interview All applications will be treated with strict confidentiality!   By submitting this application, I confirm that I have read and agree to the terms of the Privacy and Data Protection Notice and the Confidentiality Undertaking.

Location: London, United Kingdom; Remote - Europe 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’re looking for a Senior Hypervisor Engineer to contribute to the development of our hyperscaler platform. The Hypervisor team supports and develops the parts of the Cloud platform that directly affect the KVM hypervisor and QEMU device emulator. We understand the granular details of hardware virtualization and device emulation, paying close attention to performance and protection against untrusted code. You will work on substantial extensions for the QEMU/KVM virtualization stack in close cooperation with the opensource community. I n this position, your responsibility will be to : Optimize I/O for emulated disk and network devices Integrate the hypervisor with other platform services and storage facilities for user data Efficiently distribute resources between virtual machines Improve guest system support Advance the cutting-edge of open source virtualization Provide low-level security for the hypervisor and emulator Provide general support, fix bugs, and monitor the upstream Collaborate with other team members and stakeholders We expect you to have : 5+ years of professional software engineering experience Fluent in C programming language 3+years of experience with Linux At least 3 years of engineering experience with QEMU/KVM General understanding of x86-compatible systems (virtual memory, interrupts, privilege rings) Experience writing general system code in user mode for Linux, including debugging, analysis, and optimization tools (the emulator is built on the user mode system process for Linux) It would be an added bonus if you had : Aсcepted patches in Linux Kernel or QEMU/KVM Experience working with Linux kernel Some experience with ARMv8, including virtualization extensions Understanding of PCI, SCSI, and ACPI Experience working with the Linux kernel Excellent communication skills for cross-team collaboration Strong work ethic We conduct coding interviews as part of the process. 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: Madrid, Spain; Remote - Europe; United Kingdom 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’re looking for a Senior HPC Cluster Engineer to join our team and play a key role in the development of our cutting-edge hyperscaler platform. The GPU & InfiniBand team is responsible for enhancing and optimizing the core components of our Cloud platform, with a specific focus on GPU computing, InfiniBand networks, and the KVM/QEMU stack. You’ll work closely with hardware virtualization and device emulation technologies, ensuring high performance and security in multi-GPU, HPC environments. The role involves analyzing, troubleshooting, and improving infrastructure to support new hardware, fine-tuning system performance, and automating fault detection and resolution in a complex system. In this position, you will be responsible for: Tuning the performance of GPU clusters and InfiniBand networks to ensure optimal operation in HPC and GPU-based environments. Analyzing and troubleshooting the root cause of issues related to GPUs and InfiniBand networks, and proposing corrective actions. Integrating new hardware into the existing infrastructure, including support for new GPU hardware through software stacks like Kubernetes, QEMU, and KVM. Enhancing automation systems for proactive monitoring, detecting, and resolving issues in GPU and InfiniBand environments. Configuring and managing GPU devices and InfiniBand fabrics, ensuring efficient and reliable operation. We expect you to have: 5+ years of professional experience in system-level software development (focused on performance optimization, low-level programming). 3+ years of hands-on experience with Linux systems (administration, troubleshooting, and performance tuning). In-depth understanding of server architecture, including PCIe devices, NICs, Linux OS/Kernel, and high-performance computing (HPC) systems. Strong proficiency in one or more performance-oriented programming languages (C/C++, Go, Python). It would be a plus if you have: Experience with GPU end-to-end testing in a cluster environment using InfiniBand networking. Proven track record of analyzing and optimizing the performance of HPC workloads (e.g., simulations, data analysis, AI/ML workloads). Familiarity with RDMA, RoCE, and InfiniBand protocols for high-performance communication. Background in Software-Defined Networking (SDN) and experience with HPC cluster networking . Understanding of QEMU/KVM virtualization and managing virtualized environments. Experience with deep learning frameworks such as PyTorch and TensorFlow , and their integration with HPC systems. Familiarity with collective communication libraries like MPI and NCCL for distributed computing. We conduct coding interviews as part of the process. #LI-LH2 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: Germany 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’re looking for a Senior Backend Software Engineer to help develop our hyperscaling platform. We have a lot of tasks on Golang and little less on Java and Python. You're welcome to work from our offices in Prague, Amsterdam, London, Tel Aviv or Berlin— hybrid or remotely. In this position, your responsibility will be to: Developing fault-tolerant, reliable cloud services: cloud infrastructure, managed databases, managed Kubernetes, billing, monitoring systems, ML service and more. We expect you to have: 5+ years of professional software engineering experience Excellent knowledge of Golang or you are ready to quickly switch to this programming language Ability to write reliable code and dig into complex problems Teamwork-oriented approach It would be an added bonus if you had: Experience designing high-load and scaling services We conduct coding interviews as part of the process. #LI-ET2 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: San Francisco; New York Workplace: Hybrid The Role Alchemy powers the most innovative companies in crypto - from Robinhood and Coinbase to Worldcoin and Stripe. As a Software Engineer focused on Solutions, you'll work directly with our most strategic customers to help them design scalable systems, optimize performance, and push the boundaries of what’s possible in blockchain infrastructure. You’ll be a strategic advisor, systems architect, and product collaborator rolled into one. You’ll bridge the gap between bleeding-edge use cases and robust infrastructure, shaping the future of Alchemy through your insights on real-world needs. Be the technical partner behind Web3’s most ambitious teams. What You’ll Do - Write code to help users unlock the full potential of our stack. - Help top-tier teams design, scale, and optimize their use of Alchemy’s infrastructure - from smart contract automation to custom data pipelines. - Deeply understand customer goals and proactively help them onboard, integrate, and ship powerful products on top of our infrastructure. - Be the voice of our developer community - translate their needs into product insights and roadmap priorities. - Act as the technical point of contact for strategic accounts, navigating technical blockers, future planning, and success metrics. - Work across Product, Engineering, and BD to uplevel the full user experience and close feedback loops fast. What We’re Looking For - 5+ years of experience in technical roles (Software Engineering, Forward Deployed Engineering, Solutions Engineering, or similar) - Strong foundation in systems design, APIs, and distributed architecture - Experience working directly with customers - ideally in B2B SaaS or infra - Comfortable writing and reading code - Python, TypeScript, or similar scripting languages - Stellar communicator who can translate technical concepts for both builders and execs - Passion for blockchain, crypto, and the infrastructure powering it - you don’t need to be a degen, but you’re curious and hungry to learn - Bonus: experience at a high-growth startup or scaling a product in a fast-moving environment Why This Role - You'll operate at the intersection of product, engineering, and real-world adoption. - You’ll shape how top-tier crypto companies bring products to life. - You'll have massive scope and autonomy on a small, high-leverage team. - Define the customer experience for Web3’s infrastructure layer. Benefits and Perks 🩺  Medical, Dental, & Vision 💪  Gym Reimbursement 🖥️  Home Office Build-out Budget 🥙  In-Office Group Meals 🧘‍♂️  Wellbeing & Mental Health Perks 📚 Learning & Development Stipend 🎉  Company Sponsored Conferences & Events 💸  HSA and FSA Plans 🧬  Fertility Benefits More on the Role Alchemy is committed to offering competitive compensation, including base salary as well as equity. Additionally, Alchemy offers comprehensive medical, dental, and vision coverage, as well as other benefits such as 401k and unlimited flexible time off.

Location: San Francisco; Remote; Toronto; New York; Montreal; Seattle Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE As an Infrastructure Software Engineer at Baseten, you'll build and maintain components of our ML inference platform that powers production AI applications. You'll contribute to the core infrastructure, enabling developers to deploy, scale, and monitor ML models with high performance. EXAMPLE INITIATIVES You'll get to work on these types of projects as part of our Infrastructure team: - Multi-cloud capacity management https://www.baseten.co/blog/how-baseten-multi-cloud-capacity-management-mcm-powers-cloud-self-hosted-and-hybr/ - Inference on B200 GPUs https://www.baseten.co/blog/accelerating-inference-nvidia-b200-gpus/ - Multi-node inference https://www.baseten.co/blog/how-multi-node-inference-works-llms-deepseek-r1/ - Fractional H100 GPUs for efficient model serving https://www.baseten.co/blog/using-fractional-h100-gpus-for-efficient-model-serving/ RESPONSIBILITIES - Develop infrastructure components for our ML inference platform using Python and Go - Implement and maintain Kubernetes deployments for model serving - Contribute to our inference orchestration layer for model deployments - Build and enhance monitoring systems for model performance metrics - Implement efficient resource management solutions for ML workloads - Support infrastructure automation to improve ML deployment workflows - Work closely with team members to implement technical solutions - Help balance performance optimization with system reliability - Participate in technical discussions around infrastructure improvements - Learn and apply infrastructure best practices REQUIREMENTS - Bachelor's degree or higher in Computer Science or related field - Proficient coding abilities in one or more popular programming or scripting languages; Go proficiency is a plus - Working knowledge of Kubernetes and containerization - Basic understanding of machine learning concepts and model serving - Familiarity with distributed systems concepts - Experience with basic monitoring and logging tools - Interest in ML/AI infrastructure and willingness to learn - Strong collaboration and communication skills BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: Belgrade; London; Berlin Perplexity is looking for an Infrastructure Engineer to own and improve the backend systems behind our latency-sensitive search stack. You’ll work across high-QPS Rust and Go services, distributed retrieval systems, cloud infrastructure, observability, and deployment tooling. This role combines infrastructure expertise with software engineering. You’ll take systems from design through production operation and use AI-native tools where they meaningfully improve engineering and operational workflows Responsibilities - Build and operate scalable, low-latency infrastructure for search serving and retrieval. - Design and improve distributed backend systems that handle high request volumes. - Debug and optimize Linux systems, containers, networking, and production services. - Improve reliability through observability, capacity planning, performance profiling, and incident response. - Design, deploy, and operate cloud-native systems, primarily on AWS and Kubernetes. - Build internal tools and automation for development, testing, debugging, and infrastructure operations. - Improve CI/CD pipelines, release processes, and production rollout safety. - Contribute directly to product codebases across Rust, Go, and other systems languages. - Own systems end to end, from architecture and implementation to deployment and production operation. Requirements - Strong experience with cloud infrastructure, distributed systems, and automation. - Deep understanding of Linux internals, performance analysis, and production debugging. - Experience building or operating latency-sensitive, high-throughput backend systems. - Experience with containers, orchestration, observability, and infrastructure as code. - Experience building or maintaining CI/CD systems and release tooling. - Fluency in at least one systems language, such as Rust, Go, C++, or Java. - Comfort working across infrastructure and application-level code. - Strong ownership and the ability to operate effectively in a fast-moving environment. Nice To Have - Experience with search, retrieval, ranking, or other large-scale data-serving systems. - Experience operating Rust services in production. - Experience with AWS, Kubernetes, and modern observability systems. - Experience with profiling, capacity planning, and performance optimization. - Experience building AI-assisted developer or operational tooling.