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The Role You will be responsible for the development and testing of a highly scalable, geo-distributed, highly performant database solution. What You’ll Do Ensure the scalability, performance, and reliability of the database system.

Location: Montreal, Canada 📍 Location: Montreal, Quebec, Canada 📄 Employment Type: Contract-to-Permanent (Preferred) / Contract 🏢 Work Arrangement: Remote Opportunity for US and Canadian citizens. Relocation assistance + bonus for European and UK candidates. 🚀 Start Date: Immediate 💰 Compensation: TBD -- based on skills and experience Important Screening Requirements Must be legally eligible to work in Canada . Must be capable of obtaining the required security clearance . English proficiency is required. French is considered an asset. Candidates must have strong experience with fault-tolerant embedded systems supporting LEO, MEO, and/or GEO spacecraft missions. About the Role We are seeking an experienced Satellite Bus Flight Software Systems Engineer to lead and support the system-level definition, architecture, integration, verification, and operational readiness of flight software for current and next-generation spacecraft platforms. This is a systems engineering and technical leadership role at the intersection of spacecraft architecture, platform subsystems, embedded flight software, avionics, mission operations, and verification. You will ensure that spacecraft bus flight software meets platform and payload functional, performance, autonomy, safety, reliability, and operational requirements throughout the full spacecraft lifecycle—from early architecture and detailed design through integration, launch preparation, commissioning, and on-orbit operations. Key Responsibilities Translate functional, performance, safety, and security requirements into flight software requirements and architecture. Allocate requirements to software modules and execution threads while maintaining bidirectional requirements traceability. Define Flight Software (FSW) architecture, including: RTOS Initialization PUS services Autonomy Health monitoring Fault management Payload interfaces Define FDIR algorithms , isolation logic, recovery actions, safe-mode sequencing, and redundancy management. Guide the integration of FDIR logic into flight software. Develop and maintain Interface Control Documents (ICDs) for payload, platform, and ground-segment interfaces. Support Satellite Reference Database development and validation. Collaborate with payload, platform, ground-segment, and mission-operations teams to identify and resolve integration issues. Develop and support Flight Software Verification Plans and integration testing. Support SIL, HIL, fault-injection, performance, and security testing . Support verification and test automation frameworks, test case development, results analysis, and test-report certification. Support spacecraft mode and operational procedure development. Analyze on-orbit telemetry and support software updates and operational improvements. Support SOOH development and operator training. Participate in major design reviews, including SRR, PDR, CDR, MRR/TRR . Mentor junior engineers and serve as a technical liaison with customers, partners, and vendors. Contribute to engineering standards, process improvements, technology roadmaps, and lessons learned. Required Qualifications Bachelor's degree in Electrical Engineering, Aerospace Engineering, Computer Science, Embedded Systems , or a related field. 10+ years of experience working with fault-tolerant embedded systems on LEO, MEO, and/or GEO satellite missions . Experience with: CCSDS ECSS PUS services MIL-STD-1553 SpaceWire RS-422/485 CAN Ethernet Experience with real-time computing cores and/or embedded Linux . Experience with auto-coding or automated code-generation workflows. Strong understanding of aerospace systems engineering fundamentals. Hands-on experience supporting systems integration, testing, troubleshooting, and problem resolution . Experience with Confluence and JIRA . Ability to work independently with minimal supervision. Strong analytical and problem-solving skills, with the ability to break down complex technical challenges into fundamental components. Excellent written and verbal communication skills in English . Preferred Qualifications Experience with end-to-end spacecraft flight software development and integration. Experience with FDIR, spacecraft autonomy, safe-mode management, and redundancy management . Experience supporting spacecraft commissioning and on-orbit operations . Experience with SIL/HIL , fault injection, and automated verification frameworks. Experience integrating flight software with spacecraft payloads, avionics, and ground systems. French language proficiency. Experience supporting satellite programs from early concept and architecture through launch and on-orbit operations.

Location: Paris Workplace: Hybrid ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. ABOUT THE ROLE We are hiring an LLM Scientist to push the boundaries of AI-driven scientific discovery. You will specialize in developing and optimizing large language models (LLMs), agentic AI, and deep learning frameworks to solve open problems in the natural sciences: Biology, Chemistry, Physics, and/or Materials Science. Your work will empower scientists with cutting-edge AI tools and accelerate research through: - Model-centric innovation: Improving LLMs’ capabilities to tackle complex scientific problems (e.g., literature synthesis, autonomous experimentation, rigorous derivations). - Cross-disciplinary collaboration: Partnering with Natural sciences domain experts to translate AI advancements into real-world scientific impact. WHAT YOU WILL DO - AI/ML Research: Participate in end-to-end training of LLM-based solutions, with a focus on scalability, generalization, and scientific applicability. - Data creation: Design original workflows to accumulate high quality scientific data at scale, either through synthetic or crowd sourced pipelines. - Algorithm Design: Use and improve reinforcement learning, or agentic systems tailored to Natural sciences challenges (e.g., modeling resolution, material property prediction, advanced data analysis and coding). - Interdisciplinary Bridge: Work closely with domain scientists to identify AI opportunities and refine models based on feedback. - Tooling & Infrastructure: Contribute to company infrastructure to improve usability for model training in scientific contexts and open-source AI tools for science for non-AI experts. - Autonomous Innovation: Set a research agenda for AI in science, exploring high-risk/high-reward ideas.   WHAT WE'RE ARE LOOKING FOR - AI/ML Expertise: Strong background in LLMs, deep learning, or agentic AI, with a track record of applying these to real-world problems (publications, open-source contributions, or deployed systems) – at the minimum extensive experience in computer science and ideally experience scaling synthetic data generation. - State-of-the-art Knowledge: Familiarity with the latest advancements in LLM architectures and post training. - Technical Depth: Hands-on experience with PyTorch/TensorFlow/JAX, model optimization, and scaling techniques (e.g., fine-tuning, RLHF). - Scientific Capability: Ability to understand 1 Natural Science domain at a high level (e.g., graduate level specialization + general undergrad knowledge) to design effective AI solutions. - Engineering Rigor: Proficiency in scientific computing (e.g., numerical methods, HPC) and software best practices. - Collaboration: Experience translating technical AI concepts for non-experts (e.g., scientists, engineers) and iterating based on user needs. - Mindset: Low ego, team player, and eager to tackle operational challenges (e.g., data pipelines, model deployment). MOTIVATIONAL PARAGRAPH When applying for the AI for Science team at Mistral, please describe in a short paragraph a potential project that you would like to contribute to the team, why it is challenging and interesting in general, and more specifically for Mistral. Please also highlight the specific skill set that you can bring to the team. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Design, implement, test, and operate production services and APIs. Lead projects or meaningful components of projects from problem definition through deployment and iteration.

Location: Georgia; Serbia; Armenia; Cyprus We are looking for a Senior Content Manager to own and grow GoMining's social media presence across YouTube, Instagram, TikTok, X, LinkedIn, and Telegram . This is a hands-on role combining content strategy, production, distribution, community management, and growth. You will be responsible not only for reach and engagement, but also for turning social audiences into registered and paying users. We are looking for someone who understands both crypto culture and mainstream digital audiences, can translate complex products into compelling stories, and knows how to build content that performs. Responsibilities Content Strategy & Production Develop content strategies for different audiences, platforms, and markets. Adapt content to platform-specific formats, algorithms, and user behavior. Translate complex crypto, financial, and technical products into clear and engaging stories. Create and develop original content across short-form video, graphics, photos, threads, and other formats. Work closely with designers and video editors to produce high-quality content. Repurpose product updates, PR materials, and long-form content into platform-native social content. Own the content calendar and publishing workflow. React quickly to trends, news, and market events while maintaining a consistent brand voice. Growth & Performance Develop social media as a measurable acquisition and conversion channel. Own social KPIs across reach, engagement, traffic, registrations, and paying users. Set up and maintain tracking through UTMs, attribution, and analytics tools. Analyze performance, generate actionable insights, and continuously test new formats and growth hypotheses. Build and scale KOL and influencer collaborations — from sourcing and briefing to negotiation and ROI measurement. Experiment with unconventional organic growth mechanics where relevant. Align social activity with CRM, Retention, SEO, Performance Marketing, and PR. Community & Brand Monitor community sentiment and manage moderation across social channels. Support crisis communication and respond to scams, impersonation, negative feedback, and reputational risks. Work with Product, Design, Legal, and Leadership on large-scale multi-channel campaigns. Ensure content complies with regulatory requirements for financial and crypto products, including geo-restrictions and communication limitations. Requirements 4+ years of hands-on social media and content management experience. Proven experience growing YouTube, Instagram, TikTok, X, LinkedIn, and/or Telegram channels. Portfolio or case studies demonstrating measurable growth in reach, engagement, acquisition, or revenue. Experience working with large-scale B2C digital products. Proven ability to turn social media audiences into registered or paying users. Experience with crypto products and communication for both mainstream and crypto-native audiences. Strong understanding of social media analytics, attribution, UTMs, and funnel tracking. Experience working with KOLs and influencers. Ability to independently develop strategy, generate ideas, and manage content production. Strong understanding of platform trends, algorithms, and content formats. Near-native or native-level English (C1/C2), with excellent writing and editing skills. Would be a plus Experience growing and managing communities on Reddit. Experience with CoinMarketCap Community, CoinGecko, Binance Square, or similar crypto platforms. Experience with financial, fintech, investment, or other regulated products. Experience working with global B2C brands. Familiarity with AI tools for content creation, research, and workflow automation. Benefits Professional growth: support for courses, conferences, and English learning (up to 100% coverage). Work-life fit: remote or hybrid format with flexible hours across international teams. Paid leave: up to 20 vacation days +  8 company holidays + 5 personal days per year Recognition programs: structured performance reviews and team awards. Team culture: retreats in international locations (for example, company apartments in Cyprus).

Location: San Francisco; 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 We're looking for inference performance engineers who want to make the world's most demanding AI workloads run faster and more efficiently. You'll work across the stack, from the inference engine and runtime through scheduling, serving, and routing. Along the way you'll apply techniques like prefill/decode disaggregation, speculative decoding, and KV-cache management. You'll reason from first principles about where time and memory go, find what's holding performance back, and close the gap. Your work directly impacts how fast our customers' models run and how efficiently we serve them. This role is ideal for someone who thrives in a fast-paced startup environment and is eager to make significant contributions to the exciting field of LLM inference.   EXAMPLE INITIATIVES You'll get to work on these types of projects as an Inference Performance engineer: - Agentic Kernels in Production https://www.baseten.co/blog/agentic-kernels-in-production/ - How we built the new fastest API for GLM-5.2 https://www.baseten.co/blog/how-we-built-the-new-fastest-api-for-glm-52/ - Live draft model training for speculative decoding https://www.baseten.co/blog/live-draft-model-training-for-speculative-decoding/#eliminating-traditional-bottlenecks - Making Kimi K3 Tokenization 18x faster https://www.baseten.co/blog/making-kimi-k3-tokenization-18x-faster-for-million-token-agentic-workloads/ - The Baseten Inference Stack https://www.baseten.co/resources/guide/the-baseten-inference-stack/ - Driving model performance optimization https://www.baseten.co/blog/driving-model-performance-optimization-2024-highlights/ RESPONSIBILITIES - Implement and productionize cutting-edge inference techniques, working deep in runtime internals. That includes quantization, speculative decoding, KV-cache reuse, chunked prefill, LoRA, guided generation for structured outputs, and custom scheduling and routing algorithms. - Profile and optimize inference end to end, from kernel launch overhead and memory layout up to request scheduling, prefill/decode disaggregation, and cache-aware routing. Run cross-layer investigations, such as tracing a tail-latency regression from request timing through routing and batching down to a kernel. - Turn performance into cost savings. Improve tokens per GPU-hour, raise utilization, and give customers and internal teams clear latency/throughput/cost tradeoffs. - Bring up and tune new model architectures on new hardware quickly, often in the same week they're released. - Build benchmarking frameworks that measure real-world performance across model architectures, batch sizes, sequence lengths, and hardware configurations. - Contribute upstream to open-source inference engines (vLLM, SGLang, TensorRT-LLM), and partner closely with model, infrastructure, and customer-facing teams to ship wins.   REQUIREMENTS - Bachelor's, Master's, or Ph.D. degree in Computer Science, Engineering, Mathematics, or related field. - Experience with one or more general-purpose programming languages, such as Python or C++. - Familiarity with LLM optimization techniques (e.g., quantization, speculative decoding, continuous batching). - Strong familiarity with ML libraries, especially PyTorch, TensorRT, or TensorRT-LLM. - Demonstrated interest and experience in LLMs. - Deep understanding of GPU architecture.   NICE TO HAVE - Proficiency in enhancing the performance of software systems, particularly in the context of large language models (LLMs) - Contributed to vLLM, SGLang, TensorRT-LLM, or another inference engine. - Worked on large-scale distributed serving: autoscaling, load balancing, multi-region or multi-cloud capacity. - Written or optimized GPU kernels (CUDA, Triton, CUTLASS, or similar) - Worked on quantization (FP8/FP4, AWQ, GPTQ) or speculative decoding in production. - Deep understanding of software engineering principles and a proven track record of developing and deploying AI/ML inference solutions. 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: Torrance, United States As an Embedded Software Engineer you will be at the forefront of creating, developing, and testing the software that drives and simulates our flight systems. Your role involves close collaboration with fellow Client's engineers across software and hardware domains to implement and debug software across the entire technology stack from applications and operating systems to networking, firmware, and simulation, ensuring complete mission success. We seek intelligent, collaborative, an driven engineers of all levels who are passionate about problem-solving and eager to contribute to an extraordinary mission. If you thrive in challenging environments and are excited by the prospect of making a tangible impact, we want to hear from you. RESPONSIBILITIES Autonomous Systems: Design and implement reliable autonomous software systems, along with the simulations required to validate their precision and dependability. Comprehensive Software Development: Manage the entire software development process, from initial design, prototyping, and testing, to final integration and deployment for mission-critical applications. System Testing: Evaluate test outcomes and troubleshoot issues necessitating detailed investigations, including hands-on integration and debugging of hardware/software systems. Develop tools to facilitate testing across various environments: virtualized hardware, real hardware-in-the-loop, and vehicle-in-the-loop testing. COLLABORATION Partner with multidisciplinary engineering teams to brainstorm, design, and develop next-generation hypersonic missile capabilities, including advanced guidance algorithms and integrated seeker image processing. Project Leadership: Lead major projects that propel Client's mission forward, ensuring alignment with overall objectives and occasionally traveling to launch and customer sites for testing and operations. Enhance Standards and Practices: Continuously improve software standards and best practices within the software team, fostering an environment of ongoing improvement and innovation. BASIC QUALIFICATIONS Educational Background: Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or a related STEM field, or equivalent practical experience. Experience: Open to candidates across all experience levels, from early-career engineers to senior technical contributors. Professional experience, internships, research, open-source contributions, or other hands-on technical work will be considered. Technical Proficiency: Experience with systems programming in languages such as C++, Python, or Rust, and familiarity with Linux-based development environments. Experience may include work with low-level systems such as Linux kernel development, hardware interfaces, or driver development (e.g., UART, I2C, or similar peripherals). PREFERRED SKILLS AND EXPERIENCE Programming Expertise : Proven proficiency in C++, Rust, or similar systems programming languages. System Experience: Practical experience with real-time embedded systems or distributed computing environments in Linux-based systems, including developing high-quality Linux-based C++ software for common processors and microcontrollers (e.g., PowerPC, x86, ARM). TECHNICAL SKILLS Proficiency in Linux, including Bash shell scripting, network troubleshooting, and performance analysis (strace, ftrace, etc.), with strong skills in debugging, performance optimization, and unit testing. System Knowledge: Comprehensive understanding of computer architecture and networking protocols (TCP, UDP, etc.). Problem-Solving: Innovative problem-solving approach using first-principles thinking, including developing prototypes to validate key design concepts and quantify technical constraints.

Location: Torrance, United States 📍 Location: Torrance, CA 📄 Employment Type: Full-Time 🏢 Work Arrangement: 100% On-site, Monday–Friday 🚀 Start Date: TBD 💰 Compensation: TBD — based on skills and experience Important Screening Requirements Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or a related STEM field , or equivalent practical experience. Open to candidates across experience levels, including early-career engineers and senior technical contributors . Experience with systems programming using C++, Python, Rust, or similar languages . Familiarity with Linux-based development . Experience with low-level systems, hardware interfaces, or embedded software. Must be able to work on-site in Torrance, CA . U.S. work authorization and export-control eligibility requirements may apply. Security clearance or other U.S. Government authorization may be required depending on the position. Embedded Software Engineer- JD About the Role We are seeking Embedded Software Engineers to develop, test, and integrate software that drives and simulates advanced flight systems. The role spans multiple layers of the technology stack, including applications, operating systems, networking, firmware, and simulation . Engineers will work closely with hardware and software teams to build and debug mission-critical systems. Embedded Software Engineer- JD What We’re Looking For We’re looking for engineers at all experience levels who enjoy working close to the hardware , solving difficult systems problems, and building reliable software for complex flight systems. Embedded Software Engineer- JD Key Responsibilities Design and implement reliable autonomous software systems. Develop simulations used to validate software precision and system dependability. Participate throughout the software development lifecycle, from design and prototyping through testing, integration, and deployment . Evaluate test results and troubleshoot complex hardware/software issues. Perform hands-on integration and debugging across software and hardware systems. Develop tools supporting virtualized hardware, hardware-in-the-loop, and vehicle-in-the-loop testing . Collaborate with multidisciplinary engineering teams on advanced flight-system capabilities. Contribute to guidance algorithms and integrated seeker image-processing efforts. Lead major software projects when appropriate. Support testing and operations at launch or customer sites when required. Improve software standards, development practices, and engineering processes. Embedded Software Engineer- JD Required Qualifications Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or related STEM field, or equivalent practical experience. Experience with systems programming in C++, Python, Rust, or similar languages . Familiarity with Linux-based development. Understanding of low-level systems programming and hardware interfaces. Experience with interfaces such as UART and I2C is valuable. Strong problem-solving and debugging skills. Ability to work effectively in a multidisciplinary engineering environment. Embedded Software Engineer- JD Preferred Qualifications Strong C++ or Rust experience. Real-time embedded or distributed computing experience. Experience with Linux systems. Experience working with PowerPC, x86, ARM, or similar architectures . Bash, networking, and performance-analysis tools. Experience with debugging, performance optimization, and unit testing. Knowledge of TCP/UDP networking . Experience building prototypes from first principles. Embedded Software Engineer- JD

Location: United States As an Embedded Software Engineer you will be at the forefront of creating, developing, and testing the software that drives and simulates our flight systems. Your role involves close collaboration with fellow client engineers across software and hardware domains to implement and debug software across the entire technology stack from applications and operating systems to networking, firmware, and simulation, ensuring complete mission success. We seek intelligent, collaborative, and driven engineers of all levels who are passionate about problem-solving and eager to contribute to an extraordinary mission. If you thrive in challenging environments and are excited by the prospect of making a tangible impact, we want to hear from you. Responsibilities: Autonomous Systems: Design and implement reliable autonomous software systems, along with the simulations required to validate their precision and dependability. Comprehensive Software Development: Manage the entire software development process, from initial design, prototyping and testing, to final integration and deployment for mission-critical applications. System Testing: Evaluate test outcomes and troubleshoot issues necessitating detailed investigations, including hands-on integration and debugging of hardware/software systems. Develop tools to facilitate testing across various environments: virtualized hardware, real hardware-in-the-loop, and vehicle-in-the-loop testing. Collaboration: Partner with multidisciplinary engineering teams to brainstorm, design, and develop next-generation hypersonic missile capabilities, including advanced guidance algorithms and integrated seeker image processing. Project Leadership: Lead major projects that propel Client's mission forward, ensuring alignment with overall objectives and occasionally traveling to launch and customer sites for testing and operations. Enhance Standards and Practices: Continuously improve software standards and best practices within the software team, fostering an environment of ongoing improvement and innovation. Basic Qualifications: Educational Background: Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or a related STEM field, or equivalent practical experience. Experience: Open to candidates across all experience levels, from early-career engineers to senior technical contributors. Professional experience, internships, research, open-source contributions, or other hands-on technical work will be considered. Technical Proficiency: Experience with systems programming in languages such as C++, Python, or Rust, and familiarity with Linux-based development environments. Experience may include work with low-level systems such as Linux kernel development, hardware interfaces, or driver development (e.g., UART, I2C, or similar peripherals). Preferred Skills and Experience: Programming Expertise: Proven proficiency in C++, Rust, or similar systems programming languages. System Experience: Practical experience with real-time embedded systems or distributed computing environments in Linux-based systems, including developing high-quality Linux-based C++ software for common processors an microcontrollers (e.g., PowerPC, x86, ARM). Technical Skills: Proficiency in Linux, including Bash shell scripting, network troubleshooting, and performance analysis (strace, ftrace, etc.), with strong skills in debugging, performance optimization, and unit testing. System Knowledge: Comprehensive understanding of computer architecture and networking protocols (TCP, UDP, etc.). Problem-Solving: Innovative problem-solving approach using first-principles thinking, including developing prototypes to validate key design concepts and quantify technical constraints

Location: US - Hybrid - Massachusetts - Boston, US - Headquarters - Maryland - Columbia Who is Tenable? Tenable® is the Exposure Management company. Over 40,000 organizations around the globe rely on Tenable to understand and reduce cyber risk. Our global employees support 65 percent of the Fortune 500, 50 percent of the Global 2000, and large government agencies. Come be part of our journey! What makes Tenable such a great place to work? Ask a member of our team and they’ll answer, “Our people!” We work together to build and innovate best-in-class cybersecurity solutions for our customers; all while creating a culture of belonging, respect, and excellence where we can be our best selves. When you’re part of our #OneTenable team, you can expect to partner with some of the most talented and passionate people in the industry, and have the support and resources you need to do work that truly matters. We deliver results that exceed expectations and we win together! Applicants must be authorized to work for any employer in the U.S. without sponsorship. We are unable to provide sponsorship for work visas of any kind at the time of hire, or at any point during employment. This includes, but is not limited to: F1-OPT, F1-CPT, H-1B, TN, J-1, etc Your Role: We are seeking an expert, data-driven Manager, Integrated Search & Google Media to own our paid search and Google media ecosystem while managing essential SEO and GEO strategies. In this role, you will also drive the strategy and execution across Google Ads, Bing Ads, YouTube and YouTube TV ads, and broader Google advertising properties. As our primary Paid Search authority, you live and breathe Google Ads, master modern AI-driven campaign structures (Performance Max, Smart Bidding, AI creatives), and stay at the forefront of search evolution. You bring a deeply curious, proactive personality and a passion for experimentation - constantly testing new ideas, interrogating performance data, and willing to try bold new approaches to stay ahead of trends. In addition to scaling our paid search and improving our ROI, you will manage critical SEO/GEO initiatives with direction and guidance from our Senior Manager, SEO/GEO and partner closely with our Performance Marketing Theater Leads - translating theater-based goals into execution-ready search strategies to generate awareness, create and capture demand that turns into pipeline, and holding accountability for regional numbers. Your Opportunity: Paid Search, Bing and Google Ecosystem End-to-End Media Management: Own the strategy, launch, optimization, and scaling of high-ROI performance campaigns across Google Search, Bing Ads, YouTube and YouTube TV ads, and Google Display/Discovery. AI & Platform Innovation: Master advanced ad features (Smart Bidding, auto-generated assets, AI bidding algorithms) to continually scale performance and improve audience targeting. Theater Collaboration & Numbers Accountability: Partner hand-in-hand with Performance Marketing Theater Leads to understand regional goals, revenue targets, and market considerations. Deliver actionable paid search strategies that generate pipeline and directly meet theater targets. Paid Search Experimentation & Optimization: Lead end-to-end campaign and post-click experimentation across paid search. Build structured testing frameworks to optimize ad performance, landing page experiences, and alternative lead capture mechanisms - driving continuous improvement in message alignment and conversion. Technical SEO & GEO Technical SEO & Metadata Management: Perform ongoing technical SEO optimizations, site audit reporting and prioritization, meta tag creation, and optimization to ensure high crawlability, indexability, and keyword alignment. Integrated Search Strategy, Analytics & Reporting Incremental Lift & Shared Reporting: Partner with Senior Manager, SEO/GEO on incremental lift analysis and reporting (Paid + Organic) to prove total search performance, identify cannibalization risks, and maximize incremental pipeline. Keyword & Competitive Intelligence: Conduct regular keyword tracking, reporting, and competitive insights analysis to map competitor SERP dominance, keyword gaps, and prompt share across both paid and organic environments. Tracking & Data Quality: Perform continuous UTM and URL cleanup/optimization across paid landing pages, organic pages, and tracking scripts to guarantee clean attribution, accurate reporting, and frictionless landing page experiences. What You'll Need: 5+ Years of Hands-On Experience: Proven track record managing complex, multi-region paid search and video budgets across Google Ads, Bing Ads, YouTube and YouTube TV ads. Google Ads / AdWords Mastery: Expert-level fluency across the Google Ads platform- Search, Video, PMax, Audience targeting, and automated bid management. Hands-On Technical SEO & GEO Capabilities: Demonstrated ability to perform technical site audits, meta tag optimizations, keyword tracking, and modern GEO/Prompt tracking across AI search platforms. Theater/Regional Business Alignment: Experience working directly with regional theater or growth leads to turn market-specific targets into conversion-driven campaign tactics with direct revenue accountability. Analytics & Attribution Expertise: Advanced skills in GA4, Google Tag Manager, dashboard tools (Looker Studio, Tableau), and multi-touch attribution modeling. AI-Forward Search Mindset: Strong understanding of how search behavior is shifting toward generative AI and how to leverage modern AI tools to accelerate copy generation, landing page strategies, and performance insights. Able to work in a hybrid/on-site capacity at our office in Columbia MD or Boston MA. This position is US-based only. May perform other duties and responsibilities that management may deem necessary from time to time. And Ideally: Google Ads Certifications (Search, Video, Display) & GA4 Certification. Experience with SEO/GEO monitoring software (e.g., SEMrush, Conductor, Amplitude). Experience working in global B2B performance marketing environments with matrixed theater structures. #LI-Hybrid #LI-MM1 This is the base pay range for this position. Compensation for the role will depend on a number of factors, including the candidate's qualifications, skills, competencies, location and experience, and may fall outside of the range shown. Employees are also eligible for variable compensation in addition to base pay (commission for sales roles, bonus for non-sales roles), depending on company and individual performance. Tenable also offers a variety of comprehensive and competitive benefits which include: medical, dental, vision, disability and life insurance; 401(k) retirement savings with company match; an employee stock purchase plan; an employee referral program; flexible spending accounts; an Employee Assistance Program (EAP); education assistance; parental leave; paid time off (PTO); company-paid holidays; health and wellness events; and community programs. US Pay Range $92,500 — $123,166.67 USD We’re committed to promoting Equal Employment Opportunity (EEO) at Tenable - through all equal employment opportunity laws and regulations at the international, federal, state and local levels.  If you need a reasonable accommodation due to a disability during the application or recruiting process, please contact Recruiting@Tenable.com for further assistance. Tenable Data Consent Statement Tenable is committed to protecting the privacy and security of your personal data. Depending on your location, one or more of the following notices may apply to you: General Applicant Privacy Notice California Applicant Privacy Notice EU/EEA/UK Applicant Privacy Notice

Location: Remote (Canada) Workplace: Remote BUILD SOMETHING PEOPLE LOVE Wealthsimple is Canada’s leading financial innovator. The company offers a full suite of simple, sophisticated financial products across managed investing, do-it-yourself trading, cryptocurrency, tax filing, spending and saving. Wealthsimple currently serves more than 4 million Canadians and holds over $155 billion in assets under administration. The company was founded in 2014 by a team of financial experts and technology entrepreneurs, and is headquartered in Toronto, Canada. We're proud of what we've built — and we're just getting started. Read our Culture Manual https://www.wealthsimple.com/en-ca/culture and learn more about how we work https://www.wealthsimple.com/en-ca/careers. The Data Science & Engineering (DSE) team consists of analytics engineers, data scientists, and software engineers and is responsible for enabling data-driven decision making and building data products at Wealthsimple. The Growth Data focuses on driving new user acquisition and net deposit targets through marketing efforts including paid, organic, and branding initiatives. Our team is structured around key domain areas including promotions, referral and social sharing, paid marketing, and organic/upper funnel marketing measurement. We work closely with cross-functional partners in Growth, Product, and Engineering to optimize our marketing investments and scale Wealthsimple's customer base. The Growth Data team plays a critical role in enabling data-driven decision making across all marketing channels. We're looking for a Senior Data Scientist who will serve as a domain expert for one of our key marketing pillars, driving optimization through sophisticated algorithms, measurement systems, and strategic insights that influence millions of dollars in marketing spend. In this role, you'll be the DRI (Directly Responsible Individual) for your domain area, building data products and analytics solutions that directly impact business outcomes. You'll work on challenging problems ranging from marketing optimization algorithms to attribution modeling, experimentation, and strategic measurement. You'll collaborate closely with marketing stakeholders to understand business needs and translate them into technical solutions, while also partnering with data engineers and other data scientists on shared infrastructure. This is a full-stack data science role where you'll wear many hats: algorithm developer, measurement strategist, analyst, experimenter, and business partner. We're looking for someone who can hit the ground running with strong marketing analytics expertise and contribute to strategic direction from day one. IN THIS ROLE, YOU WILL HAVE THE OPPORTUNITY TO: - Build data products and algorithms that optimize marketing performance—including budget allocation, targeting strategies, and campaign optimization across multiple channels - Design and implement measurement strategies for marketing initiatives, including attribution modeling, incrementality analysis, and multi-touch attribution - Drive marketing strategy through data insights, A/B testing, and causal inference methodologies to maximize ROI on marketing spend - Develop and maintain analytics pipelines and data infrastructure, working collaboratively with data engineers and other data scientists - Conduct exploratory analysis to identify growth opportunities, understand customer behaviour, and optimize marketing tactics - Provide business-as-usual analytics support including reporting, dashboards, and ad-hoc analysis for marketing stakeholders - Leverage AI tooling to handle operational tasks efficiently and focus your expertise on high-impact strategic problems - Partner with ad platforms (Google, Meta, etc.) and internal engineering teams to ensure robust tracking, data integration, and measurement capabilities - Take ownership and ship it—continuously look for the simplest, most effective way to approach challenges; Occam's razor is your friend - Work where you are (while our Canadian offices are located in Toronto, we are a remote-first workforce and you can join from anywhere in Canada!) SKILLS WE ARE LOOKING FOR: - Understanding of digital marketing mechanics including attribution, ad platforms, tracking, and conversion optimization - Experience working with lifecycle data, understands various of ways of reaching out to new/existing customers and how they fit together holistically - Strong technical skills in Python and SQL with experience building production-quality code - Proven track record in algorithm development, optimization problems, or building data-driven decision systems - Strong foundation in causal inference, A/B testing, and experimental design - Excellent communication skills and ability to translate complex technical concepts for non-technical stakeholders - Demonstrated ownership as the data DRI on complex projects end to end, with proactive understanding of business context and how cross-functional teams build systems together WE ARE LOOKING FOR SOMEONE WHO: - Can use AI effectively to increase efficiency and depth of the work, while still providing the strategic guidance and critical thinking - Has full-stack data science experience, comfortable with everything from dashboards and reporting to sophisticated algorithm development - Can contribute to strategic direction in marketing analytics from day one with minimal ramp-up time - Thrives in a collaborative, multi-faceted environment with ongoing alignment across stakeholders and data team members - Is passionate about measurement and understanding what drives business outcomes, navigating the complexities of attribution and incrementality - Ideally has worked at larger-scale tech companies that develop internal analytics and optimization systems - Adjusts quickly to changing priorities and effectively manages complexity in a fast-paced growth environment - Values simplicity and pragmatism, knows when to build sophisticated solutions and when a simpler approach will suffice - Is eager to teach and learn. We value making each other successful! - Is a lifelong learner who's constantly seeking feedback to continue improving their craft WHY YOU'LL LOVE THIS ROLE: - High visibility, high impact: Your work directly affects Wealthsimple's growth bottom line and influences strategic marketing decisions - Diverse technical challenges: Develop expertise across measurement, A/B testing, causal inference, machine learning, and algorithm development - In-demand skill set: Build valuable skills in marketing analytics and optimization that are highly sought after in the tech market - Strategic domain ownership: Own a key pillar of Wealthsimple's growth strategy and build deep expertise in a lasting problem space - AI-enabled efficiency: Leverage cutting-edge AI tooling to amplify your impact and focus on the most strategic challenges WHY WEALTHSIMPLE? 🌸 Top-tier health benefits and life insurance 📈 Long-term group savings with employer match, through Wealthsimple for Business 🌴 20 vacation days, 4 wellness days, and unlimited sick and mental health days per year* ✈️ 90 days away: work outside Canada for up to 90 days per year* 👥 Employee resource groups, including Rainbow (2SLGBTQ), Women of WS, and Black at WS 🌎 We are a hybrid team with over 1,500 employees across North America. The people are one of the best parts of working here: you'll collaborate with incredibly talented, curious, and driven teammates who are deeply committed to doing great work. *Unlimited paid sick days, Wellness Days and the 90 day away program do not apply to certain roles. ICYMI Technology & Innovation at Wealthsimple: We move quickly and build thoughtfully. That means we're always looking for better ways to work — whether that's new tools, AI, or rethinking how we approach a problem. We don't expect you to have all the answers, but we do expect curiosity and a willingness to evolve alongside the products we're building. Inclusion Statement: We're building products for a diverse world, and we need a diverse team to do it well. We strongly encourage applications from everyone, regardless of race, religion, colour, national origin, gender, sexual orientation, age, marital status, or disability status. Accessibility Statement: We're committed to an accessible hiring experience. If you need any accommodations throughout the interview process, please let us know — we'll work with you to make sure you have what you need. We also welcome any feedback on how we can better accommodate candidates with accessibility needs. AI in Hiring: We may use artificial intelligence (AI) tools to support parts of our hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our team but don't replace human judgment – all final hiring decisions are made by people. If you have questions about how your data is used, reach out to us.

Location: United States; Canada; United Kingdom; Germany; The Netherlands Workplace: Remote ClickHouse Labs is an applied research group that works closely with engineering teams to identify challenging problems in database systems and develop novel solutions. Our goal is to advance the state of the art and translate research ideas into real-world system improvements. ABOUT THE ROLE As a Research Scientist at ClickHouse Labs, you will work on high-impact problems at the intersection of database systems, distributed systems, AI, and systems software engineering while collaborating with experienced researchers and engineers. The role covers a broad range of problems across database systems research and engineering, including but not limited to query optimization, execution engines, distributed systems, consensus protocols, materialized views, indexing and data structures, benchmarking, workload analysis, and emerging agentic workloads. In this role, you will work on leading open-source database systems (e.g., ClickHouse, PostgreSQL). You will investigate performance and scalability bottlenecks in production-quality systems, develop new algorithms and system designs, and evaluate them under realistic workloads and hardware configurations. Projects may involve improving query planning and execution, reducing CPU and memory overhead, increasing throughput and concurrency, scaling across distributed deployments, or redesigning system components to leverage modern hardware better. You will work closely with engineers to turn successful ideas into robust implementations that can be deployed and maintained in widely used open-source systems. Researchers are encouraged to publish their work, contribute to open-source projects, participate in leading research conferences, and pursue ambitious projects with strong engineering and research support. RESPONSIBILITIES - Conduct applied research aimed at advancing the performance, scalability, reliability, and functionality of open-source database management systems, including ClickHouse and PostgreSQL. - Design and evaluate new algorithms, data structures, and system architectures for areas such as query optimization, indexing, storage management, query execution, and distributed data management. - Develop high-quality research prototypes and production-grade implementations, and work with engineering teams to integrate successful techniques into open-source and production systems. - Collaborate closely with database engine, infrastructure, and data-plane engineers to identify high-impact research problems and translate research results into practical system improvements. - Analyze large-scale database workloads, performance traces, benchmarks, and production telemetry to identify bottlenecks and optimization opportunities. - Design rigorous experiments and benchmarks to evaluate new techniques across realistic workloads, hardware configurations, and deployment environments. - Communicate research results through technical reports, open-source contributions, internal presentations, and publications at leading database and systems venues (e.g., SIGMOD, VLDB, CIDR). - Contribute to the broader technical direction of ClickHouse Labs by identifying emerging research opportunities and helping shape longer-term research projects. QUALIFICATIONS MINIMUM QUALIFICATIONS - Masters/Ph.D. in Computer Science, Data Science, or a related field, with research experience in databases, distributed systems, systems software, or machine learning systems. - Strong publication record in leading peer-reviewed research venues such as SIGMOD, VLDB, SOSP, OSDI, NSDI, or NeurIPS, with work relevant to databases or systems. - Strong programming and systems-development background, including experience working with database internals or other large systems codebases such as PostgreSQL, MySQL, ClickHouse, or comparable modern DBMSs. - Proficiency in systems programming using C, C++, Rust, Zig, or a comparable low-level programming language. - Strong analytical, experimental, problem-solving, and technical communication skills. PREFERRED QUALIFICATIONS - Experience developing or operating database systems in cloud environments such as AWS, Google Cloud Platform, or Microsoft Azure. - Familiarity with large language models, reinforcement learning, learned optimization, or other techniques at the intersection of machine learning and systems. - Experience contributing to large open-source systems projects, particularly database engines, distributed systems, compilers, or storage systems. BONUS QUALIFICATIONS - Familiarity with modern systems-development and verification tooling, including formal specification or model-checking frameworks such as TLA+/PlusCal, Alloy, or Lean, as well as relevant development tools and languages such as LLVM, eBPF, Python, Go, or advanced profiling and debugging tools (e.g., perf, sanitizers, or tracing frameworks). - Proven track record in optimizing database systems via hardware acceleration (e.g., GPU, FPGA, CXL), with a focus on designing methods for offloading for query execution, storage layers, and data-intensive primitives using frameworks like CUDA, SYCL, ROCm, or specialized FPGA development flows. PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new team member who joins our company receives stock options. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: Berlin adjoe builds the technologies behind mobile app growth and monetization, challenging the status quo of adtech by redefining how apps acquire users and generate revenue. Our two products, Playtime Arcade and adjoe Ads, sit at opposite ends of the mobile advertising spectrum: rewarded engagement and programmatic in-app advertising. Together they run on 13% of the world’s smartphones, connecting advertisers, publishers, and hundreds of millions of users, with one goal: making mobile advertising work better for everyone in the ecosystem. Next-Gen Machine Intelligence for Auctions & Real-Time Bidding The Data Science Research team builds the foundational algorithms that govern real-time bidding, budget pacing, and allocation mechanics across our products. Operating as a horizontal deep-tech layer, the team leverages advanced AI—specifically reinforcement learning, objective-based optimization, and control theory—to deliver critical systems that perfectly harmonize advertiser ROI, platform health, and user relevance. These frameworks scale adjoe’s products beyond standard industry limitations, utilizing behavioral and transactional data from over 770 million users. The team operates at the intersection of high-load, low-latency engineering, auction mechanism design, and state-of-the-art machine learning. Acting as the company’s internal science bar raiser, they translate complex business constraints into mathematical objectives. The stack is optimized for high throughput: PyTorch for training deep learning and RL models, distributed architectures for large-scale Bayesian inference, Trino and Athena for querying massive user-behavior data lakes, and dedicated GPU infrastructure. The full lifecycle of these AI capabilities is owned by the team—from academic paper translation and offline prototyping to deploying core algorithmic frameworks built to sustain ultra-low latency, real-time production environments evaluating tens of thousands of requests per second. Your Mission & Who We Are Looking For: - PhD or equivalent research depth, with a production track record. You have a PhD in CS, Statistics, Math, or Physics (or an MSc with extensive industry research) and a track record of peer-reviewed publications in fields like Computational Advertising, Auction Theory, Mechanism Design, or Game Theory. You’ve spent 4+ years optimizing complex systems through automated algorithms in AdTech, marketplaces, or high-frequency trading. - You translate research into production, not just prototypes. You distill SOTA research into robust, production-ready code optimized for sub-millisecond latency. At adjoe, that means architecting sophisticated auction mechanics, real-time bidding engines, and allocation algorithms serving millions of requests across a stack built on 770 million users. - Deep expertise in Reinforcement Learning and Optimization. You have hands-on, deep theoretical and technical expertise in objective-based optimization, control theory, or RL applied specifically to bidding, pricing strategy, and budget pacing under extreme production constraints. - Mastering high-dimensional data at scale. Large-scale Bayesian inference and handling sparse, high-dimensional advertising data are core to your work. You are strongly proficient in Python and related stacks, and know exactly how to architect scalable data pipelines to feed real-time optimization models. - Raises the technical bar around them. You lead architectural debates, collaborate tightly with Product Managers and Engineers to map business goals to mathematical objective functions, mentor junior scientists, and drive the team’s research direction without needing a roadmap handed to you. 🌎 WE WELCOME APPLICATIONS FROM TALENT WORLDWIDE AND PROVIDE RELOCATION SUPPORT TO HAMBURG, GERMANY FOR THOSE READY TO JOIN OUR TEAM. What’s in It for You? At adjoe, you’re not here to just close JIRA tickets, you’re helping build the infrastructure behind one of the most impactful platforms in adtech. The systems you work on will reach hundreds of millions of users and power billions of decisions every day. - Go Big. Own projects with impact on 770M users and push adtech boundaries. - Move Fast. Ship solutions multiple times a day, learn from results, and keep momentum. - Be Direct. Solve problems openly and collaborate across teams. - Thrive Together. Grow with a diverse, global team of people from over 40 different countries that learn from each other. - Have Fun. Celebrate wins, enjoy daily victories, and bring your energy. We welcome applications from people who will contribute to the diversity of our company.

Location: Canada, Montreal, QC Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Position - Sr Game Designer (Progression & Economy) Haven Studios is a game development studio headquartered in Montreal. In May 2021, we embarked on a journey to start Haven as a small team with big ambitions. Our goal was to build a studio of exceptional people where together we could make the kind of games we’ve always wanted to create – games we’ve longed to play. At Haven, we believe that kindness, adaptability and fearless optimism make space for creative excellence. We are a hybrid studio that supports flexibility, focus and collaboration for our teams. Haven joined the PlayStation Studios family as the first Sony game development team in Canada in 2022. Our first game is in development for PlayStation and PC, a competitive multiplayer action heist game with a vision to entertain and engage players for years to come. Position - Sr Game Designer (Progression & Economy) We are looking for an experienced Senior Game Designer with a highly structured, analytical mindset to own the progression systems, player lifecycle, and economic health of our upcoming live service title. In this role, you will design the frameworks that keep players engaged for years, translating high-level creative vision into mathematically sound, highly structured progression loops and economy systems. You will operate within a collaborative, multidisciplinary environment, ensuring that player investment, rewards, and monetization strategies feel cohesive, fair, and deeply engaging. Reporting Line The Senior Game Designer will report to the Project Lead-Game Design Role and Responsibilities System Architecture: Design, model, and maintain complex player progression frameworks, monetization loops, and virtual economies that support long-term player retention and engagement in a live service environment. Structured System Design: Translate abstract player experience goals into precise structural maps, detailed spreadsheets, data tables, and algorithmic logic models. Balancing & Tuning: Own the balancing, pacing, and tuning of player rewards, XP curves, drop rates, sink/source mechanics, and overall game economy to eliminate inflation or progression bottlenecks. Live Service Integration: Coherently integrate progression, monetization, and social layers within a multiplayer AAA ecosystem, aligning features across both PvE and PvP dimensions. Cross-Functional Alignment: Act as the primary point of contact for progression and economy systems, working closely with Directors, Producers, Data Analysts, and Engineers to ensure structural feasibility and data telemetry readiness. Lifecycle Optimization: Adapt and optimize systems post-launch based on player metrics, behavior patterns, and shifting market trends while maintaining structural balance with new content releases. Required Experience and Skills AAA Live Service Background: Extensive experience in systems or progression design with at least one shipped AAA multiplayer live service title where you owned or significantly contributed to the game's economy or progression loops. Structured Thinking: A proven, highly methodical approach to design. You rely on strong mathematical logic, complex spreadsheets, and structural documentation over guesswork. Economic Mastery: Deep understanding of macro and micro-economy principles in modern gaming, including monetization strategies, virtual currencies, reward pacing, and incentive loops. Engine Proficiency: Strong ability to work directly within the Unreal Engine editor to hook up data structures, configure data tables, and test progression parameter changes locally. Data-Informed Approach: Strong competence in interpreting live telemetry, player cohorts, A/B testing data, and macroeconomic analytics to guide balance adjustments and systems optimization. Clear Documentation: Exceptional ability to distill complex, multi-layered economic dependencies into clear, highly readable system specifications for technical and non-technical stakeholders. Assets System Modeling Tools: Experience using economy simulation software or advanced mathematical scripting (e.g., Python, Machinations, or specialized spreadsheet modeling) to stress-test systems before implementation. Dual Discipline Background: Prior design experience crossing into complementary fields such as Level Design, Business Intelligence, Data Analytics, or UX Design. Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

As a member of the team, you will work directly on PGD’s architecture design, development, testing, and documentation of new and existing capabilities with EDB’s quality standards.

• Analyze data and select architectures for model training. • Test new approaches and deploy models to production.

Ищем сильного ML Researcher уровня Senior / Staff для сложной исследовательской задачи на стыке probabilistic ML, sequential decision making и моделирования поведения агентов. Необходимо моделировать поведение участников и использовать эти прогнозы для принятия решений в условиях неопределённости и ограниченного inference budget.

Location: Hamburg Workplace: Hybrid adjoe builds the technologies behind mobile apps growth and monetization. With our core product Playtime Arcade, we've become the global leader in rewarded advertising, an ad unit built on a simple premise: users earn real in-app rewards for engaging with new apps. The result is one of the most effective value exchanges in adtech, connecting advertisers and publishers with over 770 million users annually. Engineering the sub-millisecond decision engine that powers 200 million daily ad interactions The Demand Core team builds the infrastructure that determines which of our thousands of active advertising campaigns are relevant to a user the moment they open our ad unit Playtime. At our scale, system latency is a business failure, downtime means advertisers stop spending, users stop earning rewards, and publisher revenue stalls. You will build and operate the services that power these decisions 200 million times every day. Go microservices load the active ad campaign catalog into memory, evaluating 40+ targeting constraints and 30+ real-time signals, geo, fraud status, budget caps to rank potential user performance in milliseconds. Beyond campaign distribution, the team owns the entire ad interaction chain: processing clicks, views, MMP postbacks from Adjust and AppsFlyer, and in-app events that trigger rewards. These events are broadcasted through a hybrid messaging architecture using SNS/SQS and Kafka, directly powering our advertiser dashboards, publisher reward payouts, and ad campaign scoring pipelines, all backed by DynamoDB. Your Mission & Who We Are Looking For: Production Golang Systems Expertise: You bring 5+ years of backend development experience, including at least 3 years writing Go in production distributed environments. You will build and maintain our +99% Go microservice architecture—interfacing with our TypeScript/React frontend—to reliably handle 2+ million daily publisher interactions and scale beyond hundreds of millions of monthly active users. High-Throughput Event Streaming: You have hands-on experience designing asynchronous microservice communication using event buses like Kafka, SQS/SNS, and Kinesis. You will build pipelines to collect billions of daily API events and aggregate them into our data lake for sub-second querying. High-Scale Data & API Optimization: You understand database internals and low-level web standards (HTTP protocol, Encoding, Regular Expressions). You will optimize queries across hundreds of terabytes of data across DynamoDB, MySQL, Druid, and Athena to reduce API response times and expose transparent, well-documented open APIs to enterprise partners. Data Science & Algorithmic Integration: You quickly grasp complex technical topics and applied mathematics. You will partner directly with our Data Science team to translate and integrate machine learning algorithms into adjoe’s core application, optimizing real-time ad targeting. Collaborative Technical Communication: You communicate fluently and precisely in spoken and written English. You will actively participate in peer code reviews and technical knowledge sharing across an international backend engineering team. Plus: Infrastructure & Cloud Tooling: Hands-on experience with Terraform (Infrastructure as Code), Docker containerization, or serverless infrastructure. 🌎 We welcome applications from talent worldwide and provide relocation support to Hamburg, Germany for those ready to join our team. What’s in It for You? At adjoe, you’re not here to just close JIRA tickets, you’re helping build the infrastructure behind one of the most impactful platforms in adtech. The systems you work on will reach hundreds of millions of users and power billions of decisions every day. Go Big. Own projects with impact on 770M users and push adtech boundaries. Move Fast. Ship solutions multiple times a day, learn from results, and keep momentum. Be Direct. Solve problems openly and collaborate across teams. Thrive Together. Grow with a diverse, global team of people from over 40 different countries that learn from each other. Have Fun. Celebrate wins, enjoy daily victories, and bring your energy. We welcome applications from people who will contribute to the diversity of our company.