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零一智能 is looking for a Knowledge Graph Algorithm Intern to build knowledge-extraction pipelines, develop agent workflows, and improve graph-based retrieval and reasoning.

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. Our wearable technology collects rich physiological data, providing members with actionable insights into their recovery, training, and sleep. We are seeking a Senior Applied ML Algorithm Engineer to develop and deploy signal processing algorithms and machine learning models that transform raw sensor data into accurate, reliable, and real-time physiological insights on WHOOP devices. In this hands-on role, you will own algorithm development from data analysis, model training, and Python prototyping through efficient C/C++ implementation, firmware integration, and production validation. Working closely with Data Science, Firmware, Hardware, and domain experts, you will deliver robust on-device algorithms that improve the member experience while meeting the power, memory, compute, and latency constraints of wearable hardware. RESPONSIBILITIES: - Design and develop algorithms that combine signal processing, feature extraction, and machine learning to derive meaningful physiological insights from wearable sensor data. - Analyze large-scale, noisy sensor datasets to train and evaluate models, identify performance gaps, and improve accuracy, robustness, and generalization across diverse members and real-world conditions. - Translate algorithm prototypes and trained models into production-ready C/C++ implementations, optimizing signal processing pipelines and on-device inference for accuracy, power, memory, compute, and latency. - Partner closely with Firmware and Hardware teams to integrate algorithms into production firmware, validate execution on target hardware, and resolve differences between prototype and embedded performance. - Define performance metrics and rigorous validation plans, combining offline evaluation, lab-based experiments, real-world data analysis, and on-device testing to assess algorithm accuracy, reliability, and efficiency. - Collaborate with Data Science, Software, Product, and domain experts to translate research findings into production-ready capabilities, investigate post-deployment performance gaps, and drive continuous algorithm improvement. QUALIFICATIONS: - 5+ years of experience developing signal processing and machine learning algorithms for time-series or sensor data in real-world applications. - MS or PhD in Electrical Engineering, Biomedical Engineering, Computer Science, or a related quantitative field, or equivalent practical experience. - Strong foundation in digital and statistical signal processing for noisy time-series data. Experience with physiological signals or wearable sensors is a plus. - Proficiency in Python for data analysis, model development, and experimentation, and C/C++ for implementing efficient algorithms in embedded firmware. - Experience developing, training, and evaluating machine learning models using frameworks such as TensorFlow, PyTorch, or scikit-learn. - Demonstrated experience deploying machine learning models to resource-constrained embedded systems, including optimization across accuracy, power, memory, compute, and latency. - Ability to independently investigate complex algorithmic problems, design rigorous validation experiments, and communicate technical tradeoffs with firmware, hardware, and data science partners. - Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions. 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 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.

Location: Boston, MA Workplace: OnSite At WHOOP, we’re on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. WHOOP is seeking an Senior Algorithm Validation Scientist to join the Sensor Intelligence organization and help ensure our physiological sensing algorithms deliver accurate, equitable, and scientifically validated performance for our members. In this role, you will design rigorous statistical analyses and validation studies that evaluate algorithm performance throughout development and after deployment, translating complex real-world data into evidence that informs algorithm quality and product decisions. You’ll partner closely with scientists, engineers, and product teams to understand algorithm behavior, quantify uncertainty, identify opportunities for improvement, and help ensure members receive accurate and trustworthy insights. RESPONSIBILITIES - Design and execute rigorous statistical analyses and validation studies to evaluate the accuracy, precision, reliability, robustness, and generalizability of physiological sensing algorithms against reference-standard measurements - Develop equivalence and non-inferiority analyses for hardware revisions, manufacturing changes, algorithm updates, and other changes that may affect the member experience, defining appropriate performance metrics, confidence intervals, hypothesis tests, and uncertainty estimates - Evaluate algorithm performance across demographic groups, physiological characteristics, environmental conditions, and behavioral contexts to identify performance differences, edge cases, and opportunities to improve algorithm quality and equity - Analyze experimental and observational production data to understand real-world algorithm behavior and draw defensible conclusions, applying approaches such as within-subject designs, difference-in-differences, matching, and other methods to account for confounding factors - Develop reproducible analysis workflows and automated validation processes that enable analyses to be consistently repeated across new cohorts, hardware revisions, and algorithm releases - Partner with Algorithm Scientists, Machine Learning Engineers, Product Managers, Clinical Scientists, and Software Engineers to design validation protocols, establish statistical best practices, communicate findings to technical and non-technical audiences, and translate evidence into product improvements QUALIFICATIONS - Advanced degree in Statistics, Biostatistics, Data Science, Applied Mathematics, Biomedical Engineering, Epidemiology, or a related quantitative discipline, or equivalent practical experience - 3+ years of experience applying statistical methods to complex experimental or observational datasets, ideally within healthcare, medical devices, wearables, digital health, consumer technology, or a related field - Strong foundation in statistical inference, hypothesis testing, regression, experimental design, uncertainty quantification, and validation study design; experience with equivalence, non-inferiority, causal inference, method-comparison, or related approaches is a plus - Proficiency analyzing large datasets using Python, R, or similar statistical programming tools, along with SQL and experience working with large-scale data environments - Experience with physiological, wearable, biomedical sensor, time-series, or longitudinal data; experience evaluating machine learning or signal processing algorithms is a plus - Familiarity with advanced statistical methodologies such as mixed-effects models, Bayesian statistics, survival analysis, fairness and parity analysis, or related approaches - Strong communication and collaboration skills, with the ability to translate complex statistical findings into clear conclusions and recommendations for both technical and non-technical stakeholders - Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions. 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 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.

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. WHOOP is hiring an Edge Algorithm Integration Engineer to join the Edge ML team and bring Sensor Intelligence algorithms from validated reference implementations to production execution on WHOOP devices. You will own the technical path from reference algorithm to edge deployment, translating and optimizing algorithms for embedded hardware, resolving cross-platform dependencies, integrating with firmware and sensor infrastructure, and ensuring implementations preserve expected algorithm performance. You will work across Sensor Intelligence, Firmware, Edge ML Platform, Mobile, Cloud, and Connectivity teams to enable algorithms to run reliably and efficiently within the compute, memory, latency, and power constraints of WHOOP devices. RESPONSIBILITIES: - Own the end-to-end technical path for porting developed and validated Sensor Intelligence algorithms from reference environments to production-ready implementations on WHOOP embedded platforms. - Translate Python, MATLAB, and other reference implementations into efficient, production-quality C/C++, optimizing signal-processing and machine-learning algorithms for compute, memory, latency, power, and real-time execution. - Understand algorithm architecture, data flow, runtime requirements, and dependencies across cloud, mobile, connectivity, sensor pipelines, libraries, and platform services; drive the technical work required to resolve or redesign dependencies for on-device execution. - Integrate algorithms with firmware, sensor pipelines, embedded services, and Edge ML platform capabilities, partnering closely with Sensor Intelligence and Firmware teams to define interfaces, requirements, acceptance criteria, and system-level behavior. - Establish functional and numerical equivalence between reference and edge implementations, profile on-device performance, and debug complex issues spanning algorithms, sensors, firmware, and embedded systems. - Build reusable tools, test harnesses, profiling infrastructure, and deployment patterns that accelerate future algorithm migrations and enable efficient portability across current and next-generation WHOOP hardware platforms. QUALIFICATIONS: - BS/MS in Computer Engineering, Electrical Engineering, Computer Science, or a related technical field, or equivalent practical experience. - Strong C/C++ software development experience with embedded, real-time, or resource-constrained systems, including an understanding of memory management, compute limitations, latency, and power constraints. - Experience porting, integrating, or optimizing signal-processing or machine-learning algorithms for MCU-based, embedded, or edge platforms, including translating implementations from Python, MATLAB, or similar reference environments. - Experience profiling and optimizing embedded software for runtime, memory footprint, computational efficiency, and/or power, with strong debugging skills across algorithm and systems boundaries. - Strong systems thinking and software integration skills, with the ability to understand complex dependencies and collaborate across algorithm, firmware, platform, and other engineering teams to drive technical issues to resolution. - Experience with one or more relevant embedded optimization technologies or techniques, such as DSP optimization, fixed-point implementation, quantization, model compression, ARM Cortex-M, DSPs, NPUs, RTOS environments, CMSIS-DSP/CMSIS-NN, or TensorFlow Lite Micro. - Experience with physiological sensing, wearable devices, time-series sensor data, low-power systems, or establishing functional and numerical equivalence between reference and embedded implementations is a plus. - Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions. 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 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.

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. By combining advanced sensing, data science, and technology designed for continuous wear, WHOOP delivers insights that help members better understand and improve their health and performance. WHOOP is looking for a Senior Sensor Intelligence Engineer to join our Embedded Controls team within Sensor Intelligence and help shape the sensing capabilities across current and future WHOOP devices. Sitting at the intersection of signal processing, machine learning, embedded systems, and sensor technology, you will develop algorithms that interpret real-world sensor signals and intelligently control how sensors operate on-device. You will work across the sensing stack from understanding sensor physics and signal characteristics through algorithm development and embedded deployment to enable increasingly sophisticated sensing capabilities while meeting the power, compute, memory, and reliability constraints of a continuously worn device. RESPONSIBILITIES: - Develop signal-processing and machine-learning algorithms that interpret physiological, motion, and other wearable sensor signals, including applications such as activity and state detection, wear detection, signal-quality assessment, and device-state estimation - Design intelligent embedded control strategies that dynamically configure sensor behavior based on signal quality, device state, user context, system requirements, and power constraints - Characterize new and existing sensors by understanding signal behavior, noise sources, artifacts, dynamic range, sampling requirements, calibration, operating modes, and the impact of analog and acquisition architectures - Prototype algorithms and sensing strategies using tools such as Python or MATLAB, then partner with Firmware Engineering to translate them into robust, computationally efficient implementations suitable for resource-constrained embedded systems - Partner closely with Firmware, Electrical Engineering, Data Science, Hardware, and broader Sensor Intelligence teams to bring up new sensing modalities, debug issues across the sensing stack, and inform sensing architectures for future WHOOP products - Develop experiments, analysis frameworks, and validation methodologies to evaluate sensor and algorithm performance across users and real-world conditions, optimizing solutions for accuracy, robustness, latency, memory, compute, and power QUALIFICATIONS: - BS, MS, or PhD in Electrical Engineering, Computer Engineering, Biomedical Engineering, Computer Science, Applied Physics, or a related technical field, or equivalent practical experience - Strong foundation in digital signal processing and time-series analysis, with experience applying techniques such as filtering, spectral analysis, sampling theory, noise reduction, and feature extraction to real-world sensor data - Experience developing signal-processing and/or machine-learning algorithms for noisy, artifact-prone sensor data and taking algorithms beyond offline analysis toward real-time, embedded, or production implementation - Strong proficiency in Python, MATLAB, or similar algorithm-development environments, with working knowledge of C/C++ and embedded-system considerations such as timing, memory, compute, and hardware interfaces - Working knowledge of sensor and electrical systems, including concepts such as ADCs, analog front ends, sampling, digital interfaces, noise, calibration, and signal acquisition - Ability to investigate and solve ambiguous engineering problems across algorithm, firmware, sensor, and electrical boundaries using strong experimental and analytical methods - Experience with wearable, physiological, optical, impedance, motion, multimodal, or related sensor systems is valued; experience with embedded inference, sensor fusion, fixed-point processing, quantization, low-power sensing, or microcontroller deployment is a plus - Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions. 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 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.

Location: Buenos Aires, Argentina; Medellín, Colombia; Bangalore, India; Guadalajara, Mexico; Lahore, Pakistan Workplace: fully We’re a remote, product-focused startup building AI- and algorithm-driven systems, and we’re looking for a strong Backend Django Engineer who loves clean data models, well-designed APIs, and clever algorithms. You’ll own core backend features end-to-end: from modeling the data to implementing the logic and exposing it through fast, reliable services that ship to users quickly, working with a small distributed team across several countries. 💰 $100 bonus : After successfully completing the assessment. To receive the assessment, please submit your resume to this job application. If your resume is approved, you'll receive the assessment afterwards. What You’ll Do Design and implement backend services and APIs using Python + Django (and DRF or similar). Model and evolve our domain in the database with clean, well-structured schema s and relationships. Implement algorithmic/AI logic in the backend (e.g., scoring, ranking, routing, decision rules). Write pragmatic, production-ready code that’s easy to reason about and iterate on. Optimize for correctness and performance : efficient queries, smart indexing, and lean responses. Work with the team to turn product ideas into concrete technical designs and endpoints. Help shape how we build things: patterns, conventions, and how we ship and iterate as we grow. What We’re Looking For Strong experience building backend applications with Python + Django . Solid understanding of relational data modeling and SQL (we use PostgreSQL). Comfortable designing and building RESTful APIs (bonus if you’ve used DRF or similar frameworks). Experience working on non-trivial business logic or algorithms (e.g., decision flows, scoring rules, optimization logic). Good instincts around performance : understanding query behavior, avoiding obvious pitfalls, and using caching when it counts. A startup mindset : comfortable with ambiguity, moving fast, and iterating based on real- world feedback. Ability to work independently in a remote environment and communicate clearly. Bonus Points For Experience in startups, side projects, or hackathons where you’ve had to ship scrappy solutions fast. Background in algorithms, optimization, or data-heavy systems. Experience with Google Cloud Platform (GCP) in production. Familiarity with Redis (caching, queues) and PostgreSQL at some scale. Exposure to containers and orchestration (Docker, Kubernetes) and/or serverless on GCP. This role is a central piece of our backend roadmap , and we’re aiming to fill it quickly once we meet the right person. If it resonates with you, go ahead and apply now. Send us your resume to start the assessment process (and get a chance at the $100 bonus).

Location: Boston, MA Workplace: OnSite WHOOP is an advanced health and fitness wearable, on a mission to unlock human performance. WHOOP empowers its members to improve their health and perform at a higher level by providing a deep understanding of their bodies and daily lives. Our Machine Learning Core Algorithms team is responsible for developing novel algorithms and features that expand our health and fitness capabilities with wearable sensor data. We combine continuous physiological data with clinical research and expert knowledge to generate features that are both scientifically grounded and deeply impactful for members. This role is located on our Core Algorithms team: performance-related insights for sleep, recovery, and exercise. As a Senior Machine Learning Engineer on our Core Algorithms team, you will design, build, and productionize ML systems that deliver meaningful, personalized metrics to millions of members. You will own the ML systems you build in collaboration with applied machine learning scientists. You will work at the intersection of data science, backend engineering, and cloud infrastructure – deploying robust, scalable, and reliable ML solutions built on physiological and behavioral data streams. This role emphasizes strong coding skills, system design, and the ability to deliver production-ready ML systems. Responsibilities: - Create, improve, and maintain production services that provide analysis for core features in collaboration with applied ML scientists and MLOps engineers. - Improve ML data pipelines, tooling, and validation systems that support robust model performance. - Work alongside applied ML scientists to translate research prototypes into production ML systems optimized for scale, latency and cost efficiency. - Collaborate with researchers and Product teams to align model development with physiological insights and member impact. - Build operational maturity within the Core Algorithms team as well as the broader Machine Learning team, developing processes for observability, alerting, and incident response (including on-call rotations). - Develop applied ML operational infrastructure (frameworks, evaluation criteria, performance validation). - Mentor other engineers and applied ML scientists on production practices, raising the bar through code and system design review. Qualifications: - Bachelor’s Degree in Computer Science, Data Science, Applied Mathematics, or a related field (Master’s preferred). - 4+ years of professional experience as an ML engineer, applied researcher, or software engineer with a focus on ML systems. - Experience working with time series data (wearable, physiological, or high-frequency sensor data). - Strong coding skills in Python with a track record of writing clean, production-quality code. - Experience designing, deploying and operating ML production systems at production scale (millions of users, real-time streaming and/or large-scale batch). - Experience deploying and maintaining ML backend services (APIs, reliability, observability, monitoring; AWS or GCP). - Preferred: 2+ years experience applying advanced mathematical and statistical techniques. 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 $150,000-$210,000. 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.

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock human performance and healthspan. WHOOP empowers members to perform at a higher level and live longer through a deeper understanding of their bodies and daily lives. We are seeking an Associate Director, Core Algorithms (Cloud) to lead the teams responsible for WHOOP's cloud-based algorithmic intelligence — the models and systems that transform physiological data into the sleep, recovery, and training insights our members rely on daily. This role is also responsible for ensuring our cloud algorithms evolve alongside WHOOP hardware, partnering with Sensor Intelligence and Hardware teams to translate new sensor capabilities into production-grade algorithmic experiences. You will own the technical vision, execution, and organizational health of this team. You'll drive the evolution of our core production algorithms such as workout detection, strain, and sleep staging toward higher accuracy, better member experiences, and more mature development practices. You will partner closely with ML Platform, Sensor Intelligence, Research, Product, and Software Engineering to define what WHOOP algorithms can enable — not just how they perform technically, but how they show up for members. This is a role for someone who has built and shipped physiological ML at scale in a consumer product, who has a deep product instinct for what algorithms mean to end users, and who knows how to elevate an ML organization's practices: raising the bar on tooling, processes, and standards to match the ambition of the work. RESPONSIBILITIES - Lead the cloud ML team responsible for the algorithms powering sleep, recovery, and training - Directly manage applied ML scientists and ML engineers; provide coaching, career development, and performance feedback that grows individual contributors into strong technical leaders - Ensure the technical quality bar for algorithm development is maintained by establishing the processes, reviews, and standards that guarantee rigor from research through deployment, and diving into designs and architectural decisions where necessary - Help drive the vision for what WHOOP algorithms and next-generation sensors can enable; advocate for member experience and push the boundaries of what our data makes possible - Ensure cloud algorithms remain compatible with future hardware generations; partner with Sensor Intelligence and Hardware to evolve proof-of-concept algorithms that leverage new sensor capabilities and bring them to production readiness - Establish and improve development lifecycle practices: experiment management, model validation, deployment pipelines, and production monitoring - Partner with ML Platform / MLOps to define requirements and drive maturity improvements across experiment tracking, model monitoring, deployment automation, and observability - Drive cross-functional alignment with Sensor Intelligence, Product, Software Engineering, and Research teams QUALIFICATIONS - 8+ years of experience in machine learning or applied data science, with hands-on experience developing and shipping ML models for a consumer product - 4+ years of people leadership experience directly managing machine learning scientists/engineers, with demonstrated growth of team members and a track record of building high-performing teams - Experience scaling a production ML organization: growing teams and leaders, identifying gaps in the development lifecycle, and driving improvements that increase velocity, reliability, and rigor - Deep product sense: ability to think about algorithms from the member's perspective, drive the vision for what algorithms can enable, and ensure the team is building toward meaningful user outcomes - Ability to evaluate technical designs, guide architectural decisions, and ensure quality at the system level, without needing to write code day-to-day - Experience defining and driving cross-functional programs with engineering, product, and science partners - Strong communication skills with the ability to translate complex ML concepts to diverse audiences including product, engineering, and executive stakeholders PREFERRED - Experience building algorithms using physiological or wearable sensor data (e.g., PPG, accelerometer, temperature, bioimpedance) - Experience managing through hardware-coupled development timelines where sensor availability and device generations constrain algorithm roadmaps - Familiarity with time-series modeling, sequential data, and the specific challenges of continuous physiological monitoring 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 $200,000-$245,000 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.

Location: Russia; Belarus; Georgia; Kazakhstan; United Arab Emirates; Serbia We are on the lookout for a sharp, early-career C++ Developer / Junior Quant Dev —ideally with a background in competitive programming—to join our collaborative and highly analytical engineering team. Our culture is built around thoughtful, detail-oriented, and composed professionals who love optimizing complex workflows. Because the systems you build will directly drive our core business outcomes, we need someone who couples technical talent with strong accountability and great communication skills. If you thrive in fast-paced environments with rapid feedback loops and highly visible results, you will feel right at home here. What You’ll Do Optimize Execution: Implement high-performance trading algorithms, masterfully balancing raw execution speed with long-term code maintainability. Collaborate Internationally: Partner closely with our Quantitative Research team to translate mathematical models into production-ready technical solutions. Write Advanced Code: Architect robust, asynchronous, multi-threaded, and network-centric systems utilizing advanced C++ templates. Requirements Algorithmic Excellence: A rock-solid foundation in data structures and core computer science principles (a proven track record in competitive programming is highly preferred). Core Language Skills: Practical engineering experience using C or C++. System Familiarity: A strong conceptual understanding of Linux OS internals and networking. Global Communication: Fluency in professional English (written and spoken) to seamlessly integrate into our international workspace. Hands-on exposure to sub-microsecond, ultra-low latency real-time engineering. Experience with lock-free concurrency paradigms and data containers. Familiarity with GPU programming via CUDA. Benefits High-Impact Challenges: Engage with complex technical puzzles featuring instantaneous feedback loops. An Elite Global Team: Work alongside a welcoming, brilliant community of international professionals. State-of-the-Art Infrastructure: Gain access to cutting-edge hardware and the latest tech stacks. Ultimate Flexibility: Work 100% remotely from anywhere on the planet, with open-door access to any of our physical global offices whenever you choose. Unbeatable Work-Life Balance: Enjoy flexible working hours and a generous 40 days of paid annual leave . Premium Compensation: A highly competitive salary package tailored to your skills and market standards.

Location: Singapore, Singapore Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity As an Infra Product Manager focused on Algorithm and Search, you will be responsible for the deep, high-quality delivery of core Web3 Infra components — primarily the algorithm platform, search system, and related AI capabilities that serve Wallet, DEX, and other businesses. You will work closely with engineering, data, and data science teams to ensure that core problems are solved correctly, that products meet stringent performance, accuracy, and scalability bars, and that every release is reliable and production-grade. This role demands strong execution discipline, technical depth, and the ability to drive complex algorithmic and search problems from design through delivery. What You’ll Be Doing Algorithm Platform Development: Design and iterate the algorithm platform supporting on-chain data analytics, trading signal discovery, risk control, and recommendation scenarios. Own the full lifecycle of algorithm models — integration, evaluation, deployment, monitoring, and iteration — to ensure efficient and reliable outputs. Web3 Search System: Drive the product design and continuous optimization of the Web3 search system (across tokens, addresses, NFTs, transactions, protocols, and more). Improve relevance, recall, latency, and ranking quality through close collaboration with search and data engineering teams. AI Integration: Embed AI capabilities (AI Agent, LLM, embedding / vector retrieval) into algorithms and search products to deliver smarter on-chain intelligence and trading experiences. Validate model effectiveness, fine-tune, and productionize. Onchain Data and Smart Contract Analysis: Conduct deep research on smart contracts, protocol mechanics, and on-chain behaviors. Translate protocol-level insights into algorithmic features, search signals, and product improvements. Quality & Delivery Excellence: Own end-to-end delivery quality — from spec, to dev, to QA, to launch, to post-launch metrics. Build robust evaluation, monitoring, and iteration loops to ensure long-term product health. What We Look For In You Education: Bachelor's degree or above in Computer Science, Software Engineering, Statistics, or a related field. Work Experience: 5+ years of Product Manager experience. Strong preference for candidates with hands-on experience in algorithm platforms, search / recommendation systems, or AI products. Web3 industry experience is a plus. Technical Skills: Solid understanding of algorithm platforms, ML model lifecycles, evaluation metrics, and offline/online experimentation. Hands-on experience with search systems (indexing, ranking, relevance, retrieval) is highly valued. Proficiency in AI technology, AI Agent, LLM, embedding / vector retrieval, and AI application experience. Experience with blockchain fundamentals, smart contracts, on-chain data analysis, consensus mechanisms, and cross-chain technologies. Familiar with onchain and Web3 ecosystems, with active engagement in the crypto community. Soft Skills: Strong execution discipline, attention to detail, and ownership over delivery quality. Strong problem-solving skills, with the ability to break down complex algorithmic / search problems into solvable pieces. Excellent communication and collaboration skills with engineering, data, and data science teams. Fluent in English and Chinese. Nice to Haves Knowledge of Web3-related products and deep technical understanding of blockchain, smart contracts, and related technologies. Experience with on-chain trading and an understanding of on-chain opportunity discovery processes. Familiarity with tokenomics and an understanding of economic incentive mechanisms in the Web3 space. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! #LI-MX1 #LI-ONSITE Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Hong Kong, Hong Kong SAR Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity As an Infra Product Manager focused on Algorithm and Search, you will be responsible for the deep, high-quality delivery of core Web3 Infra components — primarily the algorithm platform, search system, and related AI capabilities that serve Wallet, DEX, and other businesses. You will work closely with engineering, data, and data science teams to ensure that core problems are solved correctly, that products meet stringent performance, accuracy, and scalability bars, and that every release is reliable and production-grade. This role demands strong execution discipline, technical depth, and the ability to drive complex algorithmic and search problems from design through delivery. What You’ll Be Doing Algorithm Platform Development: Design and iterate the algorithm platform supporting on-chain data analytics, trading signal discovery, risk control, and recommendation scenarios. Own the full lifecycle of algorithm models — integration, evaluation, deployment, monitoring, and iteration — to ensure efficient and reliable outputs. Web3 Search System: Drive the product design and continuous optimization of the Web3 search system (across tokens, addresses, NFTs, transactions, protocols, and more). Improve relevance, recall, latency, and ranking quality through close collaboration with search and data engineering teams. AI Integration: Embed AI capabilities (AI Agent, LLM, embedding / vector retrieval) into algorithms and search products to deliver smarter on-chain intelligence and trading experiences. Validate model effectiveness, fine-tune, and productionize. Onchain Data and Smart Contract Analysis: Conduct deep research on smart contracts, protocol mechanics, and on-chain behaviors. Translate protocol-level insights into algorithmic features, search signals, and product improvements. Quality & Delivery Excellence: Own end-to-end delivery quality — from spec, to dev, to QA, to launch, to post-launch metrics. Build robust evaluation, monitoring, and iteration loops to ensure long-term product health. What We Look For In You Education : Bachelor’s degree or above in Computer Science, Software Engineering, or a related field. Work Experience : 5+ years of Product Manager experience. Strong preference for candidates with hands-on experience in algorithm platforms, search/recommendation systems, or AI products. Web3 industry experience is a plus. Technical Skills : Solid understanding of algorithm platforms, ML model lifecycles, evaluation metrics, and offline/online experimentation. Hands-on experience with search systems (indexing, ranking, relevance, retrieval) is highly valued. Proficiency in AI technology, AI Agent, LLM, embedding / vector retrieval, and AI application experience. Experience with blockchain fundamentals, smart contracts, on-chain data analysis, consensus mechanisms, and cross-chain technologies. Familiar with onchain and Web3 ecosystems, with active engagement in the crypto community. Soft Skills : Strong execution discipline, attention to detail, and ownership over delivery quality. Strong problem-solving skills, with the ability to break down complex algorithmic / search problems into solvable pieces. Excellent communication and collaboration skills with engineering, data, and data science teams. Fluent in English and Chinese. Nice to Haves Knowledge of Web3-related products and deep technical understanding of blockchain, smart contracts, and related technologies. Experience with on-chain trading and an understanding of on-chain opportunity discovery processes. Familiarity with tokenomics and an understanding of economic incentive mechanisms in the Web3 space. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Please note that Hong Kong is a group-level service hub, and OKX does not carry on a business of operating a virtual asset trading platform in Hong Kong #LI-MX1 #LI-ONSITE Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Limassol, Cyprus Workplace: hybrid We are looking for a Passenger Incentives Economics Manager to join our Marketplace Efficiency team and own the day-to-day operations of passenger incentives across inDrive markets. You will manage incentive budgets, operate and optimize discount and reward mechanics, analyze their impact on passenger growth and marketplace economics, and work closely with Analytics, Tech, Finance and Marketinh teams to make incentive management increasingly data-driven and automated. This is a hands-on role with a direct impact on the passenger side of the marketplace, offering the opportunity to work across multiple countries and emerging markets and influence how incentives are designed, allocated and scaled. Key Responsibilities Manage the weekly passenger incentives budget across countries and incentive mechanics, ensuring effective budget allocation and pacing. Operate and optimize the portfolio of passenger discounts, rewards and other monetary incentive mechanics based on business objectives and performance. Monitor incentive performance using data and dashboards, analyze uplift, incrementality, CPAR and net revenue impact, and identify opportunities to stop, scale or adjust initiatives. Work with Analytics and Tech to develop and improve tools, models, monitoring and automation for incentive management and budget allocation. Translate business needs into clear requirements and drive their implementation with analysts, engineers and product teams. Prepare regular performance insights and recommendations based on data. Continuously improve operational processes and move incentive management from manual decisions towards automated, algorithm-driven solutions. Skills, Knowledge & Expertise Degree in Economics, Finance, Business, or a closely related field is required. 3+ years of experience in operations, revenue management, growth, strategy, analytics or consulting. Hands-on experience with pricing, incentives, promotions or revenue management — including setting up initiatives, testing them and measuring their impact. Strong analytical skills and experience working with large datasets; advanced Excel skills. Solid understanding of unit economics, incrementality and A/B testing, including the use of control groups to measure the true impact of incentives. Understanding of marketplace dynamics and how passenger-side incentives can affect supply, demand and the driver side of the marketplace. Experience translating business needs into requirements for Product, Analytics or Tech teams and driving initiatives through to delivery. Strong ownership and execution skills, with the ability to structure ambiguous problems and make data-driven decisions. Strong stakeholder management and communication skills. Fluency in English. Would be a plus: Experience working across multiple countries or regions. SQL, Python or experience with BI tools such as Tableau or Power BI. Experience with loyalty, cashback or points-based products. Experience working with ML-driven targeting or recommendation systems. Why join us Help us challenge injustice by creating fair choices for millions of people across 47 countries. Develop your professional skills with access to mentoring, career consulting, and learning programs. Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program. Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects. Work alongside people who take initiative, speak openly, and challenge themselves to grow. Improve your language skills through co-financed courses and internal speaking clubs. Annual salary starting from 64 700 EUR Gross. Final benefits may vary depending on the location.

Location: Almaty, Kazakhstan Workplace: hybrid We are seeking a Social Media Specialist to own inVision U's social media presence across all platforms, translating the university's academic programs, culture, and events into compelling content that resonates with prospective students, parents, and the broader education community. The role combines editorial thinking with hands-on SMM execution, creative production coordination, and PR support, and is critical to building the university's digital brand ahead of and following the first cohort launch. Key Responsibilities 1. Content Strategy & Editorial Execution Develop and maintain the content plan across Instagram, Telegram, TikTok, and YouTube. Translate complex information about academic programs, pedagogy, and university life into engaging social formats. Ensure all content aligns with the university's tone of voice, USPs, and messaging guidelines. 2. Social Media Management Create, schedule, and publish posts; manage event calendars and announcements (internal digests, RSVP events, pre-launch campaigns). Build funnels, UGC campaigns, and news hooks. Produce template-level visual content in Figma. 3. Creative Production Coordination Act as creative producer for outsourced video content. Define formats, draft scenarios (with the copywriter), brief production teams, and manage approvals. Maintain the media bank (photos, videos, assets). 4. PR Coordination Coordinate collaborative posts, influencer partnerships, and media activities. Liaise with the inDrive PR team on joint tasks. Define briefs and quality-control external outputs for tone and messaging consistency. 5. Student Content Coordination Manage student contributors who help produce content. Assign tasks, review outputs, and maintain quality standards. 6. Analytics & Reporting Track content performance using analytics tools (Looker Studio, native platform analytics, or equivalent). Analyze engagement data, identify high-performing formats, and adjust content strategy accordingly. Skills, Knowledge and Expertise Requirements Bachelor's degree in Marketing, Communications, Journalism, Digital Media, or a related field; relevant digital marketing/SMM certifications are a plus. 2–4 years of experience in social media management, content marketing, or digital communications; experience in education, EdTech, or mission-driven organizations is a plus. Experience coordinating freelancers, student teams, or external contractors is preferred. Expertise in social media platforms (Instagram, Telegram, TikTok, YouTube); content planning and editorial calendar management. Basic design skills (Figma, Canva); experience briefing and coordinating video production. Familiarity with analytics tools (Looker Studio, Google Analytics, or native platform insights). Copywriting and storytelling skills in Russian and English. Familiarity with funnel building, UGC strategies, and news hooks; media bank and asset management experience. Strong editorial judgment and ability to work with complex information. Ownership mentality and self-organization. Clear written and verbal communication in Russian and English (Kazakh is a plus). Coordination skills across multiple stakeholders (production teams, PR, students, copywriter). Attention to detail and quality standards; proactive problem-solving. Cultural sensitivity and understanding of the Central Asian youth audience. Nice to Have Understanding of content marketing principles and social media algorithms. Knowledge of the Central Asian digital media landscape. Familiarity with higher education or EdTech sector communications. Awareness of current trends in short-form video, Telegram channel management, and youth-oriented content formats.

Location: Toronto, ON, Canada Who We Are Advantage HQ is a tech-enabled growth firm helping leading brands scale profitably and predictably. We combine full-service performance marketing with proprietary tech, including: • A creator marketplace managing over 80,000 influencer partnerships monthly • An AI-powered platform to streamline discovery, outreach, and whitelisting • Proven playbooks in influencer marketing, paid media, performance creative, and CRO We’re trusted by 200+ high-growth DTC brands across beauty, wellness, lifestyle, and health. Our team of 100+ growth operators, analysts, and creatives manages over $500M in annual media spend and drives meaningful bottom-line impact for our partners. The Role We are looking for a Head of Growth who has been deep in the trenches of aggressive paid media scaling and knows what it actually takes to push Meta spend efficiently at volume. You understand how Meta's algorithm responds to creative velocity, cost control architecture, audience structure, and budget scaling - and you can translate that understanding into compounding, durable growth across a portfolio of DTC clients. You will own growth strategy across a book of business, lead a team of paid media analysts and creative strategists, and be the senior voice in the room when clients need someone who can look at an account and see not just what is happening, but what needs to happen next to unlock the next level of scale. What You Will Own Aggressive, efficient Meta scaling - scaling to six figures per day when the unit economics support it. You know the difference between scaling because the data says go and scaling because a client asked you to. You never confuse the two. Full-funnel paid media strategy across Meta, Google, and TikTok - with a clear hierarchy of where to push and where to protect margin. You can diagnose performance issues at the level of creative, audience, offer, landing page, or checkout - and you know which one to fix first. Creative strategy leadership alongside our creative team. You understand that at scale, creative is the primary lever, and you have a strong point of view on what makes a winning concept before the data comes back. Senior client relationships across a portfolio of high-growth DTC brands. You can walk a skeptical founder through a reset strategy, defend a scaling decision with data, and manage the tension between short-term efficiency and long-term growth - without losing the client's trust. Team development - building junior analysts and strategists into strong, independent operators. What We Are Looking For Demonstrable track record of scaling Meta accounts beyond $100k/day. You can walk through exactly how you did it, what broke, and how you fixed it. 6–10 years in paid digital advertising, with a meaningful portion managing large Meta budgets for DTC e-commerce brands. Deep structural understanding of Meta's algorithm - creative fatigue, cost control interactions, audience saturation, CPM dynamics, and campaign architecture that gives the algorithm what it needs to spend efficiently at scale. Analytically rigorous without being paralyzed by data. You make decisions, move fast, and take accountability for outcomes. Clear, direct communicator - with clients, leadership, and your team, especially when the news isn't what they want to hear. Compensation & Location $150,000 – $300,000 USD total annual compensation, including base salary, performance bonus, and equity Fully remote - we have built the infrastructure for high-performance distributed teams and trust our people to do their best work from wherever they work best

Location: Annapolis Junction, MD, United States Job Title Senior‑Level AI Engineer (Python) Why IDS? IDS believes in resolving conflict, building innovative approaches to do so. Combining operational expertise with an intimate understanding of today’s greatest challenges, we bring our customers the solutions required for success in a complex and multidimensional world. IDS tailors' solutions for a diverse range of government, military, nonprofit, and public‑sector clients. Locations Annapolis Junction, MD Shifts Available Please note, candidates must be flexible. Shift times are general hours; some projects may require earlier or later reporting based on customer requirements. Job Description IDS is seeking a Senior‑Level AI Engineer to support the AI and Emerging Technologies mission. The engineer will work closely with mission stakeholders to capture requirements, support structured planning, improve certification processes using AI/ML tooling, and develop AI‑enabled capabilities including fine‑tuning Large Language Models to enhance vulnerability identification and mitigation. Key Duties • Collaborate with technical leadership to design, develop, and maintain LLM orchestration frameworks • Integrate static analyzers, retrieval‑augmented generation (RAG) systems, and automated testing pipelines • Clean, transform, and vectorize documentation, source code, and test artifacts for LLM consumption • Design and implement database solutions to support RAG architectures, artifact storage, and audit trails • Work with systems engineers to architect and deploy networked AI tools within secure enclaves • Perform performance profiling, optimization, and scalability analysis of mission systems • Support security assessments and Authority to Operate (ATO) processes Requirements • Bachelor’s degree with eight (8) years of relevant experience, or Master’s degree with six (6) years, or Doctoral degree with four (4) years • Associate’s degree with ten (10) years of clearly related experience may be considered • Degree in Computer Science or a related field with substantial coursework in algorithms, data structures, programming languages, computer architecture, logic, and advanced mathematics • Proficiency in Python and AI/ML integration • Experience with LLMs, static analyzers, RAG frameworks, and relational and vector databases • Familiarity with Agile methodologies and tools such as Git, Jira, and Confluence • Relevant experience across the software development lifecycle • Active TS/SCI with Polygraph Compensation • Salary range: $155,000 – $175,000 • Benefits

Location: Annapolis Junction, MD, United States Job Title Mid‑Level AI Engineer (Python) Why IDS? IDS believes in resolving conflict, building innovative approaches to do so. Combining operational expertise with an intimate understanding of today’s greatest challenges, we bring our customers the solutions required for success in a complex and multidimensional world. IDS tailors solutions for a diverse range of government, military, nonprofit, and public‑sector clients. Locations Annapolis Junction, MD Shifts Available Please note, candidates must be flexible. Shift times are general hours; some projects may require earlier or later reporting based on customer requirements. Job Description IDS is seeking a Mid‑Level AI Engineer to support the AI and Emerging Technologies mission. The engineer will work closely with mission stakeholders to capture requirements, support structured planning, improve certification processes using AI/ML tooling, and develop AI‑enabled capabilities including fine‑tuning Large Language Models to enhance vulnerability identification and mitigation. Key Duties • Collaborate with technical leadership to design, develop, and maintain LLM orchestration frameworks • Integrate static analyzers, retrieval‑augmented generation (RAG) systems, and automated testing pipelines • Clean, transform, and vectorize documentation, source code, and test artifacts for LLM consumption • Design and implement database solutions supporting RAG architectures, artifact storage, and audit trails • Work with systems engineers to architect and deploy networked AI tools within secure enclaves • Perform performance profiling, optimization, and scalability analysis of mission systems • Support security assessments and Authority to Operate (ATO) activities Requirements • Bachelor’s degree with five (5) years of relevant experience, or Master’s degree with three (3) years, or Doctoral degree with no required experience • Associate’s degree with seven (7) years of clearly related experience may be considered • Degree in Computer Science or a related field with substantial coursework in algorithms, data structures, programming languages, computer architecture, and mathematics • Proficiency in Python and AI/ML integration • Experience with LLMs, static analyzers, RAG frameworks, and relational or vector databases • Familiarity with Agile development and tools such as Git, Jira, and Confluence • Relevant experience across the software development lifecycle • Active TS/SCI with Polygraph Compensation • Salary range: $105,000 – $125,000 • Benefits

Location: Colombia 🌐 Social Media Manager Location: Remote Department: Marketing & Communications Reports to: Head of Marketing / Brand Director 🧠 About the Role We’re looking for a dynamic Social Media Manager to lead our brand’s digital voice across platforms. You’ll be the architect behind our online presence—crafting compelling content, building community, and driving engagement that translates into real-world impact. If you live and breathe trends, analytics, and creative storytelling, we want to hear from you. 🎯 Key Responsibilities •     Develop and execute multi-platform social media strategies aligned with brand goals •     Create, curate, and schedule engaging content (text, image, video, stories, reels, etc.) •     Monitor, respond to, and grow community engagement across all channels •     Analyze performance metrics and adjust strategies for optimal reach and impact •     Collaborate with design, marketing, and product teams to align messaging •     Stay ahead of platform updates, algorithm changes, and emerging trends •     Manage influencer partnerships and user-generated content campaigns •     Prepare monthly reports with insights, wins, and recommendations 🛠️ Requirements •     Proven experience managing social media accounts for brands or organizations •     Strong writing, editing, and visual storytelling skills •     Proficiency in tools like Meta Business Suite, Hootsuite, Canva, or Adobe Creative Suite •     Familiarity with analytics platforms (Google Analytics, Sprout Social, etc.) •     Ability to adapt tone and messaging across different audiences and platforms •     Creative thinker with a strategic mindset and attention to detail •     Bonus: Experience with paid social campaigns and A/B testing 🌟 What We Offer •     A collaborative, creative work environment •     Opportunities for growth and professional development •     Flexible work arrangements •     A chance to shape the voice of a brand that values authenticity and innovation

Location: Remote - US Founded in 2012, Bugcrowd is the preemptive security platform that unifies exposure discovery and assessment, offensive testing, and intelligence shaped by AI and human insight to help organizations avoid, discover, and validate real-world risk. Bugcrowd helps security teams move faster by identifying the exposures that matter most so they can act first and stay ahead of attackers. By combining the power of humans and AI, teams can preempt attack paths and prevent breaches. Based in San Francisco and New Hampshire, Bugcrowd is supported by General Catalyst, Rally Ventures, Costanoa Ventures, and others. Visit www.bugcrowd.com . Job Summary The Bugcrowd RL and Reasoning Team focuses on pushing the boundaries of autonomous cybersecurity by building authentic, verifiable reinforcement learning environments for world-leading foundational AI companies. As a Reinforcement Learning Engineer specializing in Reinforcement Learning from Verifiable Rewards (RLVR), you will design and scale automated verification pipelines that transform real-world software vulnerabilities into deterministic reward functions. In this role, you will bridge the gap between low-level security analysis and modern LLM reasoning models, engineering environments where AI agents learn to discover, exploit, and remediate software vulnerabilities with mathematical certainty. Instead of relying on subjective human feedback, your work directly powers the rigorous, verifiable reward signals that teach next-generation frontier AI models how to master complex cybersecurity domain logic. You will work at the intersection of fuzzing, dynamic program analysis, system exploitation, and scalable ML infrastructure to shape the safety and offensive/defensive capabilities of future artificial intelligence. Essential Duties and Responsibilities Design, build, and deploy high-throughput RLVR (Reinforcement Learning from Verifiable Rewards) environments that evaluate LLM action sequences against deterministic execution outcomes. Develop automated test harnesses, sandboxes, and verification engines that convert complex vulnerability research (e.g., memory corruption, web security, logic bugs) into binary pass/fail reward signals. Integrate Bugcrowd’s Mayhem automated analysis platform and real-world vulnerability feeds into continuous, scalable RL environment generation pipelines. Architect safe, isolated, and highly reproducible execution environments (using Docker, BuildKit, or Nix) capable of running thousands of simultaneous agent-driven exploitation and patching trajectories. Collaborate directly with researchers at frontier AI labs including Anthropic, OpenAI, and Cohere to define standard benchmark formats, observation spaces, and verifiable evaluation metrics for cybersecurity tasks. Implement precise telemetry, ground-truth verification algorithms, and trajectory logging to analyze agent reasoning paths and prevent reward hacking or false positives. Build low-level instrumentation and debugging tools to monitor memory states, process executions, and network behaviors during agent interaction cycles. Optimize infrastructure performance and environment reset latency to support massive-scale parallel sampling and distributed RL training workflows. Benchmark and evaluate frontier AI model performance across diverse offensive and defensive security challenges, such as automated fuzzing, exploit payload generation, and patch validation. Education, Experience, Knowledge, Skills, and Abilities Understanding of RL training workflows used by modern LLM systems, specifically execution-based feedback or Reinforcement Learning from Verifiable Rewards (RLVR). Proficiency developing applications in Python and low-level systems programming in C, with Rust experience being a strong plus. Solid understanding of software vulnerabilities, binary exploitation, fuzzing methodologies, or program analysis. Experience with DevOps pipelines (e.g., GitHub Actions), reproducible builds (Docker, BuildKit, Nix), and comfort working with Linux systems and low-level debugging. Experience working with or building benchmark environments (e.g., CTFs, SWE-bench, security challenges, or execution sandboxes). Preferred Experience Experience designing custom reward functions, ground-truth verifiers, or automated grading engines for AI safety and reasoning models. Background in low-level program analysis tools, sanitizers (e.g., ASan/MSan), compiler instrumentation, or automated exploit generation tools. Proven track record of participating in or developing competitive cybersecurity benchmarks, CTFs, or open-source AI evaluation frameworks. Working Conditions and Physical Requirements The ideal candidate must be able to complete all physical requirements of the job with or without reasonable accommodation. Sitting and / or standing - Must be able to remain in a stationary position 50% of the time Carrying and / or lifting - Must be able to carry / move laptop as needed throughout the work day. Environment - remote, work-from-home 100% of the time. Pay Range Disclosure At Bugcrowd, we strive for fairness, equality and to create an environment that allows our people to perform at their very best. Our compensation philosophy is to foster a collaborative community that rewards, attracts and retains the best possible talent. The provided salary details are based on US national averages and we retain the flexibility to tailor to the needs of the business. The national estimate for the current base range for the position of $176,400 - $242,550. This position may also be eligible to participate in a discretionary bonus program or commission plan, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. Culture At Bugcrowd, we understand that diversity in the workplace is vital to a company’s success and growth. We strive to make sure that people are included and have a sense of being part of making Bugcrowd not only a great product but a great place to work. We regularly hear from both customers and researchers that Bugcrowd feels like a family, and we strive to maintain that internally as well. Our team consists of a broad range of people: musicians, adventure sports junkies, nature lovers, parents, cereal enthusiasts, night owls, cyclists, artists—you get the point. At Bugcrowd, we are solving security threats and vulnerabilities that are relevant to everyone, therefore we believe solving these problems takes all kinds of backgrounds. We value the perspectives and experiences people from underrepresented backgrounds bring. Disclaimer This position has access to highly confidential, sensitive information relating to the technologies of Bugcrowd. It is essential that the applicant possess the requisite integrity to maintain the information in the strictest confidence. The company is authorized to obtain background checks for employment purposes under state and federal law. Background checks will be conducted for positions that involve access to confidential or proprietary information (including trade secrets). Background checks may include Social Security verification, prior employment verification, personal and professional references, educational verification, and criminal history. Applicants with conviction histories will not be excluded from consideration to the extent required by law. Any personal data you submit in connection with your application will be processed in compliance with Bugcrowd's Privacy Policy, which you may review here: https://www.bugcrowd.com/privacy . Equal Employment Opportunity: Bugcrowd is EOE, Disability/Age Employer. Individuals seeking employment at Bugcrowd are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation. Bugcrowd is committed to the full inclusion of all qualified individuals. In keeping with our commitment, Bugcrowd will take the steps to assure that people with disabilities are provided reasonable accommodations. Accordingly, if reasonable accommodation is required to fully participate in the job application or interview process, to perform the essential functions of the position, and/or to receive all other benefits and privileges of employment, please contact HR at ADA at bugcrowd.com. Apply at: https://www.bugcrowd.com/about/careers/