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Anthropic Fellows Program is designed to foster AI research and engineering talent by providing funding and mentorship to promising technical talent regardless of previous experience. Fellows primarily use external infrastructure such as open-source models and public APIs to work on empirical projects aligned with Anthropic's research priorities, aiming to produce public outputs like paper submissions. The program runs multiple cohorts yearly with rolling application reviews, expecting a start in January 2027 but flexible start dates can be requested. The program includes 4 months of full-time research, direct mentorship from Anthropic researchers, access to a shared workspace, connection to the AI safety and security research community, a weekly stipend of 3,850 USD / 2,310 GBP / 4,300 CAD plus benefits varying by country, and funding for compute (~$15k/month) and other research expenses. The interview process involves an initial application and reference check, technical assessments and interviews, and a research discussion. Applicants are encouraged to apply even if they do not meet every qualification, with emphasis on diversity and inclusion. There are two main fellow tracks: ML Systems & Performance Fellows: - Mentors include Alwin Peng and Zygi Straznickas. - Projects may involve building CPU simulators for accelerator workloads, adding backends for accelerators on open source projects, building on-demand infrastructure, and creating complex synthetic data or environment pipelines. - Candidates should have strong software engineering skills, experience with complex ML systems, ability to balance research and engineering rigor, comfort with large-scale distributed systems and high-performance computing, experience with training or evaluating large language models, and skills in analyzing and debugging model training. - Fluency in Python and full-time availability are required. Reinforcement Learning Fellows: - Mentors include Ruhua Jiang, Kaidi Cao, Sunny Duan, David Brandfonbrener, Colt Steele, Dino Distefano, and Will Williams. - Projects may include building model-based tools to understand and improve AI training data, research on generalization, creating RL environments to improve Claude models and safety-related tasks, and research and implementation of RL algorithms. - Candidate criteria are similar to ML Systems Fellows. Logistics: - Participants must have work authorization and be located in the US, UK, or Canada during the program. - Shared workspaces are available in San Francisco; remote participation is allowed in the UK, US, or Canada. - Visa sponsorship is not provided; candidates must have or obtain full-time work authorization independently. - The program duration is 4 months full-time, with possible extensions and flexibility for partial commitments. Additional notes: - No guarantee of full-time offers post-program, though strong performers may receive offers or continue impactful AI safety work elsewhere. - Anthropic's full-time role policies do not apply to the Fellows Program. - The company emphasizes collaborative, large-scale AI research with a focus on safety, interpretability, and steerability. - Candidates must be fluent in Python and able to commit full-time. - The program values diversity and encourages applications from underrepresented groups. - Safety advice is provided regarding recruitment communications. Apply at the provided link.

Location: Canada Role overview: We are seeking a GNC System Engineer for design, integration, verification, and operational support of GNC subsystems for our current and next-generation remote sensing and communications satellites. The role will require to design the complete subsystem, from algorithm development through hardware implementation, verification, and on‑orbit operation support. The role requires deep expertise in orbital dynamics, attitude‑determination & control, plus real‑time FSW definition and integration, and will work closely with subsystem and mission operations teams throughout the satellite life-cycle. Tasks summary: Architecture Concept & Requirements • Derive GNC functional, performance, and safety requirements (pointing accuracy, slew rate, orbit‑maintenance ΔV, fault‑tolerance) from mission level requirements. • Produce System Requirements, Interface Control document (ICD), and Description Document. • Perform requirement management and maintain bidirectional traceability throughout the project lifecycle. Modelling & Trade‑Study • Conduct trade studies on sensor suites and actuator families. • Perform high‑fidelity dynamics simulations (Matlab/Simulink, STK) to meet pointing requirements, maintain error budgets, control‑law stability, fuel consumption, and survivability margins. Algorithm Development • Design and implement attitude‑determination algorithms and orbit‑determination solutions. • Develop control laws for 3‑axis stabilization, slew maneuvers, station keeping algorithms • Validate algorithms with Monte‑Carlo analysis, worst‑case scenarios, and support SIL/HIL testing on avionic test bench. Cross‑Functional Coordination, Stakeholder & Program Interaction • Translate algorithms into FSW requirements running on real‑time operating systems. • Collaborate with the C&DH and FSW teams to implement TM/TC, schedulers and FDIR logic for GNC. • Present technical status, risk analyses, and trade‑study results to senior management. • Negotiate and maintain ICDs with subsystems. • Support B&P (Phase 0 & pre-phase A). Hardware Selection & Design • Specify sensor and actuator hardware, perform interface definition (electrical, mechanical, thermal) and conduct trade on redundancy architectures. • Work with structures and thermal engineers to ensure proper mounting, thermal paths, and vibration survivability of GNC hardware aligning with payload requirements. • Review harness routing and power distribution for GNC electronics. Integration & Verification (IVV) • Author Verification Plans, Test Matrices, and Validation Procedures for unit, subsystem, and spacecraft level GNC tests. • Lead functional tests: sensor calibration, actuator command‑response, closed‑loop attitude‑control on testbeds, and on‑orbit checkout sequences. • Conduct failure mode and effects analysis (FMEA), fault tree analysis (FTA), and reliability prediction. Technical Leadership & Mentorship • Mentor, guide junior engineers and interns. • Act as technical liaison with customers, partners and external vendors • Act as Continuous Improvement stakeholder • Contribute to Client’s knowledge‑base, process enhancements, and standards. Configuration, Documentation & Standards Management • Maintain GNC standards (sensor/actuator interface, filter design, control‑law documentation). • Ensure all artefacts, analysis, software, deliverables and documentations are version controlled in PLM environment. • Support design reviews (SRR, PDR, CDR, MRR/TRR…etc.). • Support Technology Road‑Mapping & Innovation On‑Orbit & Operations Support • Support procedure developments (detumble, orbit‑maintenance, safe‑mode…etc.). • Provide real‑time GNC support during launch, early‑orbit checkout, and contingency events. • Analyse on‑orbit telemetry, update filter parameters, and generate performance reports. • Support SOOH development and associated operator training. Required Qualifications: • B.Sc. in Electrical Engineering, Aerospace or Physics, (M.Sc. preferred), focused on flight dynamics, control theory, or navigation with 10+ of GNC/AOCS experience on LEO/MEO/GEO platforms. • Orbital mechanics, attitude dynamics, and control-law design (classical and modern optimal control). • Proficiency with navigation sensors and actuators. • Experience implementing real-time filtering and control algorithms in embedded code • Strong understanding of aerospace system engineering fundamentals. • Hands-on individual who can support systems integration processes and capability to test systems and resolve problems. • Experience with Confluence and JIRA. • Demonstrated capability to efficiently work with little supervision. • Ability to distill complex problems to fundamentals to solve with analysis, similarity, or creativity. • Demonstrate excellent written and verbal communications skills in English & French work environment.

Location: Barcelona Workplace: onsite With multiple awards to our name, Larian Studios has proven that we’re dedicated to delivering high-quality role-playing games As we move on to new projects, the studio that brought you Baldur’s Gate 3 & Divinity: Original Sin 2 is looking for a Junior Graphics Programmer to join the team and help us in crafting the high calibre games our fans have come to expect. Responsibilities Maintain and extend our proprietary engine's VFX systems (particle simulation, materials, post-process effects, rendering/lighting pipeline) Collaborate closely with the Art/VFX department to implement top-quality visual effects and grow our library of VFX components Debug and optimize code to meet quality and performance targets Document code features as you build them Requirements Thorough knowledge of C++ Strong technical background (bachelor's degree or comparable experience) Clear communication skills, written and spoken, in English Enthusiasm for making and playing great games Proficiency with modern graphics APIs such as DirectX 12, Vulkan, or Metal Skilled in using CPU and GPU profiling tools to diagnose and resolve bottlenecks Solid grasp of particle system algorithms, including GPU-based implementations Strong command of shading languages, with a track record of writing complex GPU algorithms Comfort working with multithreaded systems Strong software design, problem-solving, and debugging skills Comfortable collaborating with others and taking ownership of your work Nice To Haves C# experience Experience shipping a game or console title is a strong plus What We Offer An international team of over 600 employees spread across 7 studios around the world, each of which have their own unique qualities, and maintain a small-studio feel An open, collaborative environment where ideas are welcome and encouraged A managerial team consisting of highly experienced game developers at the top of their fields Sharing hobbies and passions with like-minded colleagues Inclusive environment with many activities organized by the studios or the employees Commitment to making the best game possible for the fans, including listening to community feedback

Banco Plata, a technology-driven platform utilizing AI to transform financial services in Mexico, is seeking a Risk Data Scientist at the Middle+ level. The role involves managing the entire machine learning model lifecycle, including development, deployment, and monitoring. Candidates should have over three years of practical experience in Data Science, preferably within banking or financial sectors. A solid understanding of machine learning algorithms and feature engineering is essential. Proficiency in Python, SQL, Airflow, Git, and BI tools such as Streamlit is required. Educational background should be in Mathematics, Physics, Computer Science, or related STEM fields. Effective communication skills in English at a B1 level or higher are necessary. The position is based in Colombia, with relocation assistance provided.

Location: Indianapolis, United States; Chicago, United States; Cincinnati, United States; Columbus, United States; West Lafayette, United States; Bloomington, United States Location: Indianapolis, IN Metro (Hybrid / 3-Day Onsite) (Open to Regional/EST Candidates with Onsite Travel) Contract Type: Contractor Full-Time / Enterprise Project Engagement (Outsourced via Xenon7) About Xenon7 Where elite tech talent meets world-class opportunities! At Xenon7, we work with leading enterprise clients and innovative startups on high-impact projects across Data, AI, Cloud, and Software Engineering. Our expertise in AI solution architecture and specialized technical talent allows us to partner with enterprise leaders on transformative initiatives, driving innovation and business growth. Job Summary We are seeking a Senior Machine Learning Engineer with extensive experience in production MLOps, model deployment, and system scaling to drive ML engineering initiatives for a top-tier life sciences client. This role sits at the critical intersection of production ML infrastructure, life science research, and manufacturing process engineering. In this position, you will own the architectural design and hands-on execution of production ML systems, model integration APIs, and scalable MLOps pipelines. You will bridge complex domains—from computational biology, small and large molecule research, and clinical trial analytics to active pharmaceutical ingredient (API) manufacturing processes, batch optimization, and industrial automation ML. Operating in a 3-day onsite hybrid capacity in Indianapolis, you will collaborate directly with process engineers, life science researchers, and platform engineering teams to build robust, low-latency ML systems that scale across the enterprise. Key Responsibilities Production MLOps & Systems Architecture Design, deploy, and maintain robust, production-grade MLOps pipelines and infrastructure for continuous model training, deployment, versioning, and monitoring. Implement automated model drift detection, performance monitoring, and self-healing inference pipelines in high-reliability environments. Process Engineering & Manufacturing ML Integration Operationalize and integrate production ML models into operational technology (OT), API manufacturing workflows, and chemical process control systems. Deploy predictive models for batch processing, process control optimization, real-time quality assurance, and facility automation use cases. Scalable Inference & System Integration Build low-latency, high-throughput microservices and serving architectures (FastAPI, Triton Inference Server, TorchServe) for model deployment into live production applications. Containerize and orchestrate ML workloads across distributed cloud and edge systems using Kubernetes, Docker, and modern pipeline engines (Kubeflow, MLflow). Technical Leadership & Domain Alignment Partner directly with chemical engineers, computational biologists, and software architects to translate operational friction into production-ready ML engineering solutions. Establish enterprise MLOps standards, model governance, and CI/CD best practices across the full machine learning operational lifecycle. Requirements Experience & Mindset Experience: Senior-level proficiency (10–20+ years) in software engineering, MLOps, production ML system deployment, and infrastructure scaling. Domain Adaptability: Demonstrated ability to deploy and maintain production ML systems across non-standard, highly specialized domains (e.g., transition between process/chemical engineering ML and clinical/scientific research applications). Location & Work Auth: Must hold unrestricted US Work Authorization (no sponsorship available) and be able to work 3 days per week onsite in the Indianapolis, IN area. Culture & Communication: Pragmatic problem-solving mindset, strong collaborative drive, and the ability to articulate complex MLOps architecture to cross-functional engineering teams. Must-Have Technical Stack Languages & Frameworks: Advanced Python, C++, and deep proficiency with PyTorch, TensorFlow, or Scikit-learn. MLOps & Serving: Proven expertise with Triton Inference Server, TorchServe, MLflow, Kubeflow, or Databricks ML runtime. Infrastructure & Orchestration: Hands-on expertise with Kubernetes, Docker, CI/CD pipelines, FastAPI/gRPC, and cloud platform ecosystems (AWS/Azure). Monitoring & Integration: Experience building real-time model monitoring, feature stores, drift detection systems, and integration with enterprise data pipelines. Domain Competency (Scientific & Process Focus) Deep exposure to applying ML models in either scientific/clinical domains (drug discovery, small/large molecule, computational biology) OR chemical/process engineering environments (API manufacturing, batch processing, SCADA/MES integration, process optimization). Nice-to-Haves & Certifications Academic background in Chemical Engineering, Bio-process Engineering, Computer Science, or a related STEM discipline. Direct experience operationalizing ML models inside regulated GxP environments in the Life Sciences or Specialty Chemicals sectors. Certifications: AWS Certified Machine Learning – Specialty, Databricks Certified Machine Learning Professional, or equivalent MLOps credentials. What This Role Is NOT Not a Data Scientist or Exploratory R&D Specialist: You will not be focusing on exploratory data analysis, academic algorithms, or standalone Jupyter notebook modeling; you are building, scaling, and maintaining production MLOps pipelines, inference engines, and model integration code. Not a non-coding Architect: This is a 100% hands-on MLOps and software engineering lead role requiring direct model deployment, infrastructure creation, and technical execution. Not a Fully Remote Position: This role requires a steady hybrid commitment of 3 days onsite per week at the client site in Indianapolis.

Location: Argentina; Bolivia, Plurinational State of; Ecuador; Honduras; Brazil; Chile About Huzzle At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries such as SaaS, MarTech, FinTech, and EdTech. Unlike an outsourcing agency, we place you directly with a client where you’re hired in-house as a valued member of their team. Role Type: Full-time Engagement: Independent Contractor Job Summary We’re looking for a results-driven Media Buyer with 2–4+ years of experience managing and optimising paid advertising campaigns. You’ll be responsible for planning, launching, monitoring, and scaling campaigns across digital advertising channels, with a strong focus on Meta Ads. Hands-on experience with Meta Ads Manager is essential for this role. You should be comfortable managing advertising budgets, analysing campaign performance, testing creative and audience strategies, and making data-driven decisions to improve results. Key Responsibilities Plan, launch, manage, and optimise paid advertising campaigns across Meta platforms. Manage campaigns through Meta Ads Manager, including campaign structure, audiences, budgets, bidding, and optimisation. Monitor key performance metrics including ROAS, CPA, CPL, CTR, CPC, CPM, and conversion rates. Develop and execute media buying strategies aligned with campaign and business objectives. Conduct ongoing audience, placement, creative, and offer testing to improve campaign performance. Build and manage A/B and multivariate testing strategies. Identify opportunities to scale successful campaigns while maintaining performance and efficiency. Analyse campaign data and translate insights into clear optimisation actions. Collaborate with creative and marketing teams to develop high-performing ad concepts and messaging. Monitor creative performance and identify when new creative variations or angles are required. Manage advertising budgets effectively and allocate spend based on performance. Implement and monitor retargeting and prospecting campaigns. Prepare regular performance reports highlighting results, insights, and opportunities for improvement. Stay informed about changes to Meta advertising features, algorithms, policies, and industry best practices. Requirements 2–4+ years of professional media buying or paid social advertising experience. Strong hands-on experience with Meta Ads is required. Proven experience managing campaigns through Meta Ads Manager. Strong understanding of campaign structures, targeting, retargeting, lookalike audiences, bidding, and budget optimisation. Experience analysing paid media performance and optimising campaigns based on data. Strong understanding of performance marketing metrics such as ROAS, CPA, CPL, CTR, CPC, and conversion rate. Experience with campaign testing, creative testing, and audience experimentation. Comfortable managing and scaling advertising budgets. Strong analytical and problem-solving skills. Ability to manage multiple campaigns and priorities simultaneously. Excellent attention to detail and a performance-focused mindset. Nice to Have Experience with additional paid advertising platforms such as Google Ads, TikTok Ads, or LinkedIn Ads. Experience working with e-commerce, lead generation, or direct-response campaigns. Familiarity with tracking, attribution, pixels, Conversion API, and analytics platforms. Experience working in a fast-paced agency or performance marketing environment. Benefits 💻 Fully Remote: Work from anywhere with international teams 🤝 Peer Community: Connect with high-performing sales professionals in our network 🧭 Ongoing Support: Receive guidance from Huzzle before and after placement 💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals

Location: Sainte-Anne-de-Bellevue, Canada Role overview: Our client is seeking a GNC System Engineer for design, integration, verification, and operational support of GNC subsystems for our current and next‑generation remote sensing and communications satellites. The role will require to design the complete subsystem, from algorithm development through hardware implementation, verification, and on‑orbit operation support. The role requires deep expertise in orbital dynamics, attitude‑determination & control, plus real‑time FSW definition and integration, and will work closely with subsystem and mission operations teams throughout the satellite life‑cycle. Tasks summary: Architecture Concept & Requirements Derive GNC functional, performance, and safety requirements (pointing accuracy, slew rate, orbit‑maintenance ΔV, fault‑tolerance) from mission level requirements. Produce System Requirements, Interface Control document (ICD), and Description Document. Perform requirement management and maintain bidirectional traceability throughout the project lifecycle. Modelling & Trade‑Study Conduct trade studies on sensor suites and actuator families. Perform high‑fidelity dynamics simulations (Matlab/Simulink, STK) to meet pointing requirements, maintain error budgets, control‑law stability, fuel consumption, and survivability margins. Algorithm Development Design and implement attitude‑determination algorithms and orbit‑determination solutions. Develop control laws for 3‑axis stabilization, slew maneuvers, station keeping algorithms Validate algorithms with Monte‑Carlo analysis, worst‑case scenarios, and support SIL/HIL testing on avionic test bench. Cross‑Functional Coordination, Stakeholder & Program Interaction Translate algorithms into FSW requirements running on real‑time operating systems. Collaborate with the C&DH and FSW teams to implement TM/TC, schedulers and FDIR logic for GNC. Present technical status, risk analyses, and trade‑study results to senior management. Negotiate and maintain ICDs with subsystems. Support B&P (Phase 0 & pre-phase A). Hardware Selection & Design Specify sensor and actuator hardware, perform interface definition (electrical, mechanical, thermal) and conduct trade on redundancy architectures. Work with structures and thermal engineers to ensure proper mounting, thermal paths, and vibration survivability of GNC hardware aligning with payload requirements. Review harness routing and power distribution for GNC electronics. Integration & Verification (IVV) Author Verification Plans, Test Matrices, and Validation Procedures for unit, subsystem, and spacecraft level GNC tests. Lead functional tests: sensor calibration, actuator command‑response, closed‑loop attitude‑control on testbeds, and on‑orbit checkout sequences. Conduct failure mode and effects analysis (FMEA), fault tree analysis (FTA), and reliability prediction. Technical Leadership & Mentorship Mentor, guide junior engineers and interns. Act as technical liaison with customers, partners and external vendors Act as Continuous Improvement stakeholder Contribute to our client’s knowledge‑base, process enhancements, and standards. Configuration, Documentation & Standards Management Maintain GNC standards (sensor/actuator interface, filter design, control‑law documentation). • Ensure all artefacts, analysis, software, deliverables and documentations are version controlled in PLM environment. Support design reviews (SRR, PDR, CDR, MRR/TRR…etc.). Support Technology Road‑Mapping & Innovation On‑Orbit & Operations Support Support procedure developments (detumble, orbit‑maintenance, safe‑mode…etc.). Provide real‑time GNC support during launch, early‑orbit checkout, and contingency events. Analyse on‑orbit telemetry, update filter parameters, and generate performance reports. • Support SOOH development and associated operator training. Required Qualifications: B.Sc. in Electrical Engineering, Aerospace or Physics, (M.Sc. preferred), focused on flight dynamics, control theory, or navigation with 10+ of GNC/AOCS experience on LEO/MEO/GEO platforms. Orbital mechanics, attitude dynamics, and control‑law design (classical and modern optimal control). Proficiency with navigation sensors and actuators. Experience implementing real‑time filtering and control algorithms in embedded code Strong understanding of aerospace system engineering fundamentals. • Hands-on individual who can support systems integration processes and capability to test systems and resolve problems. Experience with Confluence and JIRA. • Demonstrated capability to efficiently work with little supervision. • Ability to distill complex problems to fundamentals to solve with analysis, similarity, or creativity. • Demonstrate excellent written and verbal communications skills in English & French work environment.

Location: Pune, India Workplace: Hybrid Solvd Inc. is a rapidly growing AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence. We work with industry-leading organizations to design, build, and operationalize technology solutions that drive measurable business outcomes. Following the acquisition of Tooploox, a premier AI and product development company, Solvd now offers true end-to-end delivery—from strategic advisory and solution design to custom AI development and enterprise-scale implementation. Our capability centers combine deep technical expertise, proven delivery methodologies, and sector-specific knowledge to address complex business challenges quickly and effectively. We are looking for a Senior Go Developer to design and develop high-performance, secure, and reliable software components for enterprise-scale data collection and processing systems. You'll be building software that runs across Windows and macOS, processes high-frequency events, securely buffers and transmits data, and integrates with cloud-based data platforms — with production-grade engineering practices throughout. WHAT YOU'LL DO - Design, develop, and maintain high-performance applications and background services in Go, following clean architecture and production-grade engineering practices. - Build multi-threaded and concurrent processing components using goroutines, channels, synchronization primitives, worker pools, and efficient memory-management techniques. - Develop reliable event collection, processing, batching, compression, serialization, and transmission mechanisms for high-volume telemetry and event data. - Implement robust local persistence and encrypted buffering — supporting offline operation, checkpointing, retry queues, recovery, and protection against data loss. - Develop secure integrations with cloud platforms and data services using REST APIs, HTTPS, SDKs, and other integration mechanisms. - Implement enterprise-grade authentication and security mechanisms, including RSA key-pair authentication, JWT/OAuth, TLS, certificate validation, encryption, and secure credential handling. - Design resilient distributed-client behavior — idempotency, duplicate prevention, exponential-backoff retries, acknowledgement handling, failure recovery, rate limiting, and network resilience. - Develop efficient data-processing capabilities across formats such as JSON, Parquet, and Protocol Buffers. - Optimize applications for CPU, memory, disk I/O, network utilization, startup time, and long-running stability using Go profiling and diagnostic tools. - Develop and support cross-platform software for Windows and macOS, including interaction with OS APIs, system services, file systems, networking, and OS-native security facilities. - Build comprehensive unit, integration, performance, stress, resilience, and security tests. - Implement production-grade logging, metrics, health monitoring, diagnostics, and telemetry — ensuring sensitive information is never exposed through operational logs. - Contribute to application packaging, versioning, configuration management, automated deployment, upgrade, rollback, and enterprise software-distribution strategies. - Provide senior-level technical leadership through architecture discussions, design reviews, code reviews, troubleshooting, and mentoring. REQUIRED SKILLS & EXPERIENCE - 7+ years of software development experience with strong hands-on expertise in Golang. - Advanced knowledge of Go concurrency — goroutines, channels, mutexes, contexts, synchronization, and worker-pool patterns. - Strong understanding of data structures, algorithms, memory management, and performance optimization. - Experience building long-running services, agents, system utilities, telemetry applications, or distributed client applications. - Strong experience with REST APIs, HTTPS, TLS, JSON, authentication, and secure API integration. - Experience implementing RSA/public-key cryptography, JWT/OAuth, certificate-based authentication, and secure credential management. - Experience with local persistence, caching, queueing, batching, compression, retry, and failure-recovery patterns. - Knowledge of Parquet or similar columnar/binary data formats and high-volume data-processing patterns. - Strong experience with unit testing, integration testing, mocking, profiling, debugging, and performance testing in Go. - Good understanding of CI/CD, Git, code-quality tooling, dependency management, vulnerability scanning, and secure SDLC practices. PREFERRED QUALIFICATIONS - Experience with Snowflake or comparable cloud data platforms and cloud SDK integration. - Experience with Windows and/or macOS system programming, enterprise endpoint software, or large-scale telemetry systems. - Familiarity with C/C++ or .NET interoperability, Windows APIs, macOS APIs, or OS-level encryption and key stores. - Experience with MSI/MSIX packaging and enterprise device-management platforms. When you join Solvd, you'll… - Shape real-world AI-driven projects across key industries, working with clients from startup innovation to enterprise transformation. - Be part of a global team with equal opportunities for collaboration across continents and cultures. - Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards. Ready to make an impact? If you're excited to build things that matter, champion responsible AI, and grow with some of the industry’s sharpest minds. Apply today and let’s innovate together. Solvd is an equal opportunity employer.

Location: Remote Workplace: Remote ABOUT INJECTIVE LABS Injective Labs is trailblazing a new dawn for Web3 enabled finance. We are the core contributors to Injective, one of the fastest growing blockchains in the industry. Injective provides an interoperable smart contracts platform that is optimized for building decentralized finance applications. Interoperability is at the core of Injective, which is natively integrated with chains such as Ethereum, Cosmos and Solana. Developers can rapidly launch premier financial applications suited for mass adoption using Injective’s infrastructure and specialized DeFi primitives such as the world’s first fully on-chain order book. Our team has decades of experience spearheading the largest financial institutions and tech organizations. Injective is incubated by Binance and is backed by leading firms such as Jump Crypto, Pantera and Mark Cuban. ABOUT THE ROLE We are looking for an accomplished Protocol Engineer who is able to fit into an existing highly-skilled global dev team. Your role is to work closely with the protocol team to brainstorm, write specs, implement and test chain features for our Injective DeFi modules. You also have the freedom to detect and take ownership to improve chain performance and scalability via kvstore optimization, processing logic and order matching engine RESPONSIBILITIES: - Build, maintain and test core components on our Cosmos-SDK protocol including our decentralized orderbook, trade execution coordinator, order matcher, and Layer-2 execution environment - Develop and optimize core components of the Injective blockchain (consensus, state management, financial infrastructure and applications) - Write open-source Golang clients that allow users to interact directly with our protocol and smart contracts - Contribute to the research and development of new blockchain features and technologies - Work closely with cross-functional teams, including front-end developers, back-end developers, and quality assurance engineers, to deliver comprehensive blockchain solutions - Collaborate with external partners and open-source communities to enhance our blockchain ecosystem   WHO YOU ARE: - Minimum of 3 years’ experience as a Blockchain Engineer - Prior experience working in trading or in an exchange - Worked on at least two production Golang codebases that are reasonably large and performant - Strong knowledge of Go idioms, libraries and parallel processing - Strong knowledge of blockchain, DeFi & DEX concepts, consensus mechanisms, CosmWasm contract platform - Strong knowledge of CS fundamentals such as data structures and API design - Ability to communicate technical concepts with other technical and non-technical team members NICE TO HAVES: - Experience with Cosmos-SDK/Tendermint - Experience with cryptography libraries including digital signature, hash algorithms used by Ethereum, Cosmos - Experience with key-value databases especially ones used by cosmos-sdk - Experience with Ethereum/Solidity (bonus points if you've worked with Layer-2 before!) - Knowledge of financial instruments and markets WHY WORK WITH US? - Competitive salary and INJ token award - Remote-friendly work environment with flexible hours. - Unlimited PTO - Equipment - Home Office Stipend - Opportunity to work on cutting-edge blockchain technology in the finance industry. - Collaborative team culture with opportunities for professional growth and development. - Global team meet ups. As an equal opportunity employer we don’t tolerate discrimination or harassment of any kind. Whether that’s based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status or any other protected characteristic as outlined by federal, state or local laws. We will only contact candidates using emails from the @injectivelabs.org http://injectivelabs.org domain. If you are approached by any other account or domain regarding this position, it was not sent by us. Please stay cautious and report any suspicious communication.

Location: Belgrade; London; Remote; Berlin Perplexity is looking for a highly skilled Expert Systems Engineer to join our Search Core team. For the indexing and data processing stream. This role is critical to building next-generation search products and technologies. Responsibilities - Design and build core search engine components, especially indexing pipelines, data storage formats that operate at the scale of billions of pages - Develop streaming and batch data processing with YT 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 - 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 - Knowledge of Data processing systems (YT/Kafka/Hadoop) - 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) Nice to have - 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: San Francisco, CA; Sunnyvale, CA Workplace: Hybrid At Niantic Spatial, we’re building the future of physical AI. Powered by a proprietary database of over 30 billion posed images, our groundbreaking mapping technology unlocks a new dimension of interaction and spatial intelligence that helps both humans and machines better understand, represent, navigate, and engage with the real environment. Join us as we build the real-world foundational models for physical AI, so people and machines can work efficiently and safely together. As a Senior Computer Vision Engineer on the Applied Algorithms team, you will own significant parts of our Localization technology. As a member of this team, you will be responsible for building the Map representing a living geospatial world model, as well as the centimeter-level accuracy Visual Positioning System (VPS) that allows people and robots to explore the real world. Part of the role will be bridging the gap between R&D and production, turning complex geospatial data into a persistent sense of space and enabling the next generation of spatial AI. RESPONSIBILITIES - System Architecture: Design, develop, and maintain production-grade computer vision systems that power Niantic Spatial’s VPS (Visual Positioning System) and 3D mapping pipelines. - Algorithmic Innovation: Refine and scale algorithms for our VPS system including, SfM (Structure from Motion) and Feed Forwards models, efficient feature and descriptor extraction to have the best possible accuracy and recall. Moving algorithms from research concepts to hardened production code that can scale for our map of the world. - Performance Engineering: Optimize complex ML and CV code for maximum efficiency in cloud and mobile environments, ensuring low latency and high-performance execution on GPU/CPU. - Benchmarking & Evaluation: Create and own the tools and frameworks used to evaluate the quality of our spatial grounding and 3D maps against ground-truth data. - Technical Leadership: Lead technical design reviews, mentor junior engineers, and serve as a team anchor for resolving complex technical disagreements within the mapping stack. - Cross-Functional Delivery: Collaborate with Product, Research, and Operations teams to ensure that state-of-the-art computer vision solutions translate into delightful user experiences. REQUIREMENTS - Education: BS, MS, or PhD in Computer Science, Robotics, Computer Vision, or a related technical field (or equivalent professional experience). - Years of Experience: 5+ years of experience developing and shipping algorithms for image processing, computer vision, or 3D reconstruction. - Coding Proficiency: Expert-level proficiency in python and/or C++. - Domain Expertise: Proven track record in designing solutions for Structure from Motion (SfM), VPS or 3D mapping.. - Frameworks & Tools: Deep experience with Deep Learning frameworks (PyTorch or JAX) and version control (Git). - Required in-office days: 3 days per week Plus If: - Experience in planning and leading technical projects from inception to production. - Significant contributions to open-source CV libraries (OpenCV, COLMAP, etc.). - Experience with CUDA or shader programming for performance optimization. Candidate Privacy Policy I understand that by submitting my job application, the information I provide as part of that application will be used in accordance with Niantic Spatial’s Privacy Notice for Job Applicants and Candidates https://www.nianticspatial.com/applicant-privacy-notice. If required by law, by submitting my job application I consent to the processing of my information as described in that Notice, including processing information I voluntarily disclose to Niantic Spatial, such as health or medical information, race or ethnicity data, and sexual orientation data and, in limited circumstances sharing information with third parties such as references and other third parties that assist in the hiring process. Niantic Spatial is an equal opportunity employer. Individuals seeking employment at Niantic Spatial are considered without regard to race, color, ancestry, national origin, religion, creed, age, gender (including pregnancy, childbirth, breastfeeding or related medical conditions), marital status, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity, gender expression, sexual orientation, or any other protected category under applicable laws. Niantic Spatial, will also consider qualified applicants with criminal histories in accordance with applicable laws. Please contact your recruiter if you want to request an accommodation for the job application or interview process.

We are seeking an experienced Mathematician to support the development and optimization of mathematical models and algorithmic solutions within our sportsbook platform. The ideal candidate will bring strong expertise in mathematics, probability, statistics, and algorithmic modeling , combined with a deep understanding of sportsbook mechanics and betting markets . The consultant will work closely with product, trading, and development te ams to enhance odds models, improve automation capabilities, and contribute to the development of advanced data-driven solutions. Key Responsibilities Design, review, and optimize mathematical models used in sportsbook trading, odds generation, and risk management. Support the development and improvement of algorithmic pricing and automated trading solutions. Analyze betting data, market behavior, and performance metrics to improve model accuracy and efficiency. Collaborate with Product, Trading, Data Science, and Engineering teams to implement scalable algorithmic solutions. Provide expert insights on probability models, margin optimization, and risk exposure management. Contribute to the development of data-driven strategies for sportsbook market automation and pricing efficiency. Evaluate existing algorithms and identify opportunities for optimization and performance improvement. Support the integration of new analytical approaches, including advanced statistical methods and machine learning techniques where relevant. Conduct research on industry best practices and emerging technologies in sportsbook modeling and algorithmic trading. Provide technical guidance and recommendations on mathematical frameworks used in sportsbook operations. Requirements Strong academic background in Mathematics, Statistics, Data Science, Computer Science, or a related quantitative field . Proven experience working with mathematical modeling, statistical analysis, or algorithm development . Experience in sportsbook , betting technology, trading systems, or quantitative modeling environments is a strong advantage. Deep understanding of probability theory, statistical modeling, and data analysis. Experience working with large datasets and performance metrics. Familiarity with algorithmic systems, predictive models, or automated decision-making frameworks. Strong analytical and problem-solving skills. Ability to work closely with technical and product teams to translate mathematical concepts into practical solutions. Excellent communication skills with the ability to explain complex quantitative concepts to non-technical stakeholders.

Location: Warsaw, Poland; Tbilisi, Georgia; Medellin, Colombia On behalf of EnergyTech Client #1 , SD Solutions is looking for a talented Sales Engineer The Sales Engineer will support the design, configuration, and performance assessment of battery energy storage systems using our tools and platforms. In this full-time hybrid role based in the USA, the engineer will split time between onsite collaboration and remote work, participating in technical discussions with product, software, and engineering teams. Day-to-day tasks include providing presales technical support, demonstrations, support to internal stakeholders and clients, reviewing system requirements, assisting with integration and testing of software features related to BESS, and documenting application workflows and best practices. The role also involves analyzing field data, troubleshooting issues, and recommending improvements to system models and configurations to enhance reliability, efficiency, and user experience. SD Solutions is a staffing company operating globally. Contact us to get more details about the benefits we offer. Responsibilities: Provide presales technical support and product demonstrations Support internal stakeholders and clients Review system requirements Assist with integration and testing of software features related to BESS Document application workflows and best practices Analyze field data, troubleshoot issues, and recommend improvements to system models and configurations to enhance reliability, efficiency, and user experience Participate in technical discussions with product, software, and engineering teams Requirements: BESS experience and background in the battery storage market Strong Technical Support skills, including issue diagnosis, stakeholder communication, and structured problem resolution Software Development skills relevant to applications engineering (scripting, API integration, or working with simulation and modeling tools) Electrical Engineering skills related to power systems, energy storage, and grid integration concepts Mechanical Engineering skills helpful for understanding BESS hardware, thermal management, and system layout considerations Testing skills for validating system performance, conducting functional checks, and documenting test results Familiarity with battery technologies, inverters, and energy management systems Ability to interpret technical documentation, single-line diagrams, and engineering specifications Strong analytical, written, and verbal communication skills, with the ability to collaborate in a multidisciplinary environment Bachelor’s degree or equivalent experience in Electrical Engineering, Mechanical Engineering, Computer Science, or a related field preferred Comfort working in a hybrid setup in Boston, MA and managing responsibilities with clear priorities and deadlines Advantages: Hands-on experience with battery energy storage systems (BESS) Experience with energy management systems, inverters, and grid integration Familiarity with simulation/modeling tools and API integrations About the company: A centralized platform for managing and monitoring renewable energy infrastructure. The solution consolidates digital asset data in a single environment, leveraging real-time monitoring and machine learning algorithms to optimize operational performance and reduce energy consumption at scale. By applying for this position, you agree to the terms outlined in our Privacy Policy. Please take a moment to review our Privacy Policy https://sd-solutions.breezy.hr/privacy-notice , and make sure you understand its contents. If you have any questions or concerns regarding our Privacy Policy, please feel free to contact us.

Задачи: — Разрабатывать backend-сервисы на C++20 для электронной трейдинговой платформы. — Работать с логикой переговоров и исполнения сделок. — Разрабатывать интеграции с внутренними и внешними системами. — Работать с микросервисной и распределенной архитектурой. — Участвовать в проектировании новой функциональности. — Разбираться с проблемами в production вместе с QA и Support. — Работать в международной команде разработчиков и представителей бизнеса. Требования: — 5+ лет коммерческой разработки на C++. — Сильный C++17/20. — Хорошее понимание STL, templates и generic programming. — RAII, object lifetime, data structures & algorithms. — Базовое понимание multithreading и concurrency. — Опыт разработки под Linux. — Опыт работы со сложными backend / distributed systems. — Умение самостоятельно разбираться в проблемах, сообщать о блокерах и нормально работать с командой. — Английский B2+. — Electronic trading / financial markets (плюсом). — FIX, market data, exchanges, order management (плюсом). — Fixed income / equities / derivatives (плюсом). — FlatBuffers / Protobuf (плюсом). — Redis, messaging / pub-sub (плюсом). — Python (плюсом). — CMake / Conan (плюсом). Условия: — Полностью удаленный формат работы. — Релокационный пакет в Польшу. — Долгосрочная работа над большой production-системой, без коротких проектов и bench. — Международная команда сильных C++ инженеров.

Location: Remote - Global Workplace: Remote About the company Trust Wallet is the secure, self-custody Web3 wallet that empowers people to own and control their digital assets. Whether you're new to crypto or an experienced user, Trust Wallet makes it easier, safer, and more convenient to explore Web3, securely access dApps, manage your crypto, and buy and sell digital assets, all in one place. Job Scope: - Own the data platform roadmap - Define and deliver the product roadmap for our data platform — covering data ingestion, on-chain data parsing, metrics frameworks, data-as-a-service, and data asset management — turning scattered data capabilities into reusable platform products. - Build on-chain data capabilities - Lead multi-chain data ingestion and parsing (EVM, Solana, Bitcoin, Cosmos, etc.). Define standardized parsing logic for transactions, transfers, contract calls, and DeFi interactions. Drive the buildout of address labels, protocol labels, and transaction attribution. - Own token and market data - Own the selection and governance of token metadata, pricing, and liquidity data sources. Establish source priority, fallback, and cross-validation mechanisms across CEX, DEX, third-party aggregators, and in-house indexers. Be accountable for data accuracy, coverage, and latency. - Serve downstream consumers - Partner with business, growth, risk, and BI teams to package data capabilities into APIs, datasets, and self-serve analytics tools that cut the cost of getting answers. - Data quality and governance - Build monitoring, metric definition management, and incident response processes. Eliminate the "same metric, five definitions" problem. - Cross-functional execution - Work closely with data engineering, backend, algorithm, and BI teams on requirement breakdown, prioritization, and delivery. Requirements: - 5-8 years in product management, including 3+ years on data platforms, data infrastructure, or internal data products - Hands-on Web3 experience (wallet, exchange, L1/L2, data provider, DeFi protocol) with real understanding of the business and user behavior - Practical knowledge of on-chain data: blocks, transactions, event logs, internal transactions, and the differences between UTXO and account models; familiarity with the data structures and parsing challenges of major chains - Familiarity with the token data landscape — the strengths, limitations, and appropriate use cases of CoinGecko, CMC, Chainlink oracles, DEX pool pricing, and similar sources - Solid grasp of data warehouse layering (ODS/DWD/DWS/ADS), metrics frameworks, and event tracking design - Able to read and write SQL; can pull and validate data independently Nice to Have - Built a data platform from zero to one - Experience with Dune, The Graph, Nansen, Covalent, Etherscan APIs, or similar tooling - Working knowledge of Flink, Spark, ClickHouse, or Airflow — enough to hold a technical design discussion with engineers - Experience commercializing data products or running external data services ADDITIONAL INFORMATION This is a global and fully remote role. You must have the right to work for the country you are based. WHY WORK AT TRUST WALLET? - Be a part of the world’s leading blockchain ecosystem that continues to grow. - Excellent learning and career development opportunities. - Work alongside diverse, world-class talent, in an environment where learning and growth opportunities are endless. - Tackle fast-paced, challenging and unique projects. - Work in a truly global organization, with international teams and a flat organizational structure. - Work fully remotely with flexible working hours. - Enjoy competitive salary and benefits. Apply today to join our team in building the world’s most trusted and secure crypto wallet and enable a decentralized future for everyone. Trust Wallet is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success. *Due to the large amount of the applications, please consider your application as unsuccessful should you not be contacted within 4 weeks from your application date.

Location: Germany; United Kingdom; Spain; The Netherlands Workplace: Remote NOTE: this role can be located anywhere ClickHouse has a hiring presence. ClickHouse — Core Analytics Database About the Role: ClickHouse is looking for a Principal Database Performance Engineer to join the team behind our high-performance analytics database service. In this role, you will drive performance and scalability improvements across the stack, taking on ambiguous, high-impact technical challenges most engineers never get to touch. Our performance team owns the core of query execution - filters, aggregation, joins, and the index structures that make them fast. We're looking for a sharp, passionate engineer who wants to own database performance end-to-end on a petabyte-scale cloud database, from initial analysis and implementation, through production rollout. What you will do: - Identify impactful performance and scalability opportunities in customer or benchmark workloads - Architect and implement optimized database algorithms and data structures across core relational operators, indexes, query processing, memory management and scheduling - Drive the performance roadmap for latency, throughput, memory efficiency and hardware utilization improvements - Participate in the development of a complex, high-performance database system, including meticulous testing and safe production rollout - Represent the company externally through presentations, blog posts, and community contributions - Mentor and support junior engineers on the team What You'll Bring - 5+ years of experience in database performance engineering, distributed systems - Master or PhD in databases or a related field - Strong fluency in C++ and a background in performance-critical software or systems programming - A track record of driving complex performance improvements end-to-end - Deep understanding of computer science fundamentals, data structures, and algorithms - Excellent communication and leadership skills, with a proactive, goal-driven mindset 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.

Задачи: — Разрабатывать backend-сервисы на C++20 для электронной трейдинговой платформы. — Работать с логикой переговоров и исполнения сделок. — Разрабатывать интеграции с внутренними и внешними системами. — Работать с микросервисной и распределенной архитектурой. — Участвовать в проектировании новой функциональности. — Разбираться с проблемами в production вместе с QA и Support. — Работать в международной команде разработчиков и представителей бизнеса. Требования: — 5+ лет коммерческой разработки на C++. — Сильный C++17/20. — Хорошее понимание STL, templates и generic programming. — RAII, object lifetime, data structures & algorithms. — Базовое понимание multithreading и concurrency. — Опыт разработки под Linux. — Опыт работы со сложными backend / distributed systems. — Умение самостоятельно разбираться в проблемах, сообщать о блокерах и нормально работать с командой. — Английский B2+. Будет большим плюсом: — Опыт в electronic trading / financial markets. — Знание FIX, market data, exchanges, order management. — Опыт с fixed income / equities / derivatives. — Опыт с FlatBuffers / Protobuf. — Опыт с Redis, messaging / pub-sub. — Знание Python. — Опыт с CMake / Conan. Условия: — Долгосрочная работа над большой production-системой, без коротких проектов и bench. — Международная команда сильных C++ инженеров. — Полностью удаленный формат работы. — Локации: Польша, Португалия, Испания, Грузия. — Релокационный пакет в Польшу.

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock human performance. WHOOP empowers its members to perform at a high level by providing a deep understanding of the interactions between their unique physiology and chosen behaviors. As a Program Manager at WHOOP, you will be a critical member of the team that develops the next generation of models that will power the features we can provide to members. This role sits at the intersection of machine learning, data science, sensor intelligence, platform engineering, and product, and is responsible for translating complex technical work into clear plans, dependencies, and outcomes to ensure projects are delivered on time, aligned to strategy, and built for scale. Success in this role will require a high degree of adaptability and a solutions mindset, ability to simplify complexity, while continuously managing shifting priorities. Foundation AI capabilities are critical to our ability to innovate quickly and responsibly. This role ensures that the underlying systems powering our features are delivered thoughtfully, reliably, and in a way that unlocks impact across the entire organization. RESPONSIBILITIES: - Drive Foundation AI projects from kickoff through development to deployment and stabilization - Support the VP of Foundation AI to translate strategy into executable roadmaps with clear milestones, risks, dependencies, and success metrics - Develop project plans consistent with business goals and requirements for algorithm performance - Establish and maintain program governance, including planning cadences, status reporting, decision forums, and executive communication - Work with the FAI team, Data Science, Sensor Intelligence, WHOOP Labs, Data Engineering, Software, Firmware to ensure project objectives and priorities are aligned across departments - Bring together key stakeholders to facilitate timely and lasting decision-making - Partner with the extended team on compute infrastructure planning, focusing on availability constraints, capacity forecasting, vendor quotes/lead times, and tradeoffs across vendors. - Partner with the broader RAD program management team to continuously improve the development process to enable execution of projects in an organized, methodical, and predictable manner. - Identify and manage project risks and issues, ensuring mitigations are in place to reduce potential impacts. - Facilitate cross-functional communication across WHOOP for awareness and understanding. - Understanding of technical issues to facilitate resolution of project blockers is a plus QUALIFICATIONS: - 2+ years of industry experience in program or project management, preferably involving AI/ML, data platforms or large-scale systems - Experience working with AI or applied ML teams - Familiarity with agile methodologies, sprint planning, backlog grooming processes - Data-driven approach to strategic planning, comfortable reviewing metrics and identifying ways to measure program success - Familiarity with AI/ML concepts (e.g., model training, inference, data pipelines, evaluation, experimentation), hands-on coding experience is not required - Clear, confident communicator who can bridge deeply technical teams and business stakeholders - Proven ability to influence without authority and drive alignment across diverse teams - Nice to Have: - Experience working with research teams - Background in consumer technology, platforms, or data-driven products - Experience organizing projects using Jira or similar platforms This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.   Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.   WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.   At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.   The U.S. base salary range for this full-time position is $$125,000-$175,000 Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.   In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.   These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.   Learn more about WHOOP https://www.whoop.com/us/en/careers/?srsltid=AfmBOopKmph9d0DLBlogZu8mx6do0dzjNS8eJlfc4PQqQtdU6F8DGKBg.