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Job Description Job Title:Voice Actors Prompt Writer Job Type:Contractor Location:Remote Job Summary: Join our customer team as a Voice Actors Prompt Writer and play a pivotal role in shaping the future of AI voice technology. In this expert-level, fully remote position, you'll craft engaging and effective prompts that guide voice actors, fueling the next generation of AI agents. This is an exciting opportunity to blend creativity, technical accuracy, and linguistic expertise in a fast-evolving field. Key Responsibilities: • Develop, write, and refine high-quality prompts tailored for voice actor interpretation within AI agent projects., • Collaborate closely with AI engineers, project managers, and voice actors to ensure clear, expressive, and purposeful scriptwriting., • Research and analyze various voice acting styles to design prompts optimized for diverse character and emotion delivery., • Iterate on prompt effectiveness based on feedback and performance metrics to hone the overall AI voice experience., • Uphold best practices for voice prompt clarity, tone, and engagement across a wide range of scenarios., • Document processes, revisions, and linguistic choices for knowledge sharing within the customer's team., • Exceptional command of written and spoken English, with an ability to craft precise and lively scripts., • Proven experience in scriptwriting for voice actors, audio production, or AI-driven applications., • Outstanding writing and editing skills with sharp attention to detail and narrative flow., • Strong verbal communication and proactive collaboration abilities in remote, cross-functional environments., • Demonstrated initiative and adaptability in fast-paced, iterative projects., • Passion for AI technologies and their applications in natural language and voice., • Background in linguistics, creative writing, journalism, or related fields., • Experience working with AI or machine learning teams in content development., • Familiarity with diverse voice acting genres or multilingual scripting.

Job Description Philo: a streaming service for TV and movie lovers At Philo, we're a group of technology and product people who set out to build the future of television, marrying the best in modern technology with the most compelling medium ever invented — in short, we're building the TV experience that we've always wanted for ourselves. In practice this means leveraging cloud delivery, modern tech stacks, machine learning, and hand-crafted native app experiences on all of our platforms. We aim to deliver a rock solid experience on the streaming basics, while cooking up next generation multi-screen and multi-user playback experiences. Data at Philo Data underpins everything we do at Philo: making informed business decisions; analyzing and improving the quality of our streaming experience; running product experiments to optimize our signup flows and improve user journeys; and making it effortless for our users to find the perfect thing to watch. Philo serves over a billion streams to its users every year, generating a wealth of data that we leverage at all levels of the organization. Philo's data platform operates at very large scale, processing trillions of events annually in a petabyte-scale data lake and supporting thousands of data workflows and analytical queries that power decision-making across the company. Philo's Data Engineering team encompasses both data engineering and analytics engineering, and we're looking for people who are comfortable working on complex data infrastructure and modeling challenges that support critical business functions across our streaming services. You'll be working closely with other data scientists, analysts, and engineers to build and deploy solutions directly for our service – this work spans both foundational data platform work like data warehouse architecture, metric governance, and semantic consistency across our entire data stack. In addition, you'll work with departments across the organization to understand their data needs and deliver high-performance, reliable data systems to help the entire team thrive. We are passionate about building robust, scalable data infrastructure and providing a high-quality data platform for the entire company, using both cutting-edge technologies and proven engineering practices in close collaboration with every department. To complete our work, we build on modern tools including AWS-native services, dbt, Segment, Snowflake, AWS SageMaker, Spark, Avo, BigEye and more. Some of the recent projects that data and analytics engineers at Philo have worked on include building new models for key financial data, dbt model design, data warehouse cluster upgrades and maintenance, per-query infra cost optimization, implementation of Apache Iceberg data storage, benchmarking & improving data warehouse performance, and evaluating alternative data warehouse technologies. The Role We're seeking a senior technical and foundational leader to own and drive the vision, strategy, and execution of our Data Engineering team, encompassing both the data engineering and analytics engineering functions at Philo. This is a strategic and high-impact role: you'll set the long-term direction for our entire data platform, lead and grow a team of data and analytics engineers, and roll up your sleeves to architect and build alongside them. The ideal candidate has owned both disciplines before — data infrastructure and analytics engineering — and brings strong opinions on how to structure a high-velocity, high-trust data organization. Responsibilities: • Own the vision and technical strategy for data engineering and analytics engineering at Philo, setting the direction for how data is ingested, modeled, and delivered across the organization, • Own the team's roadmap, balancing strategic long-term investments with near-term stakeholder needs, • Lead and grow the Data Engineering team, including hiring, career development, performance management, and supporting the team in generally thriving, • Lead the design and implementation of Philo's data platform architecture, including setting technical standards and best practices for data engineering and analytics engineering work, • Collaborate with cross-functional teams to understand data platform needs and translate business requirements into technical solutions, • Build and maintain stakeholder trust in data and reporting — ensuring that business teams have reliable, well-documented, and well-understood data products, • Design scalable data pipelines and infrastructure; drive technical decisions with a focus on long-term sustainability, • Implement data governance, security, and quality control processes as needed, • 10+ years of professional experience spanning data engineering and analytics engineering, ideally with a few years working on high-volume data platforms, • 4+ years of experience managing and leading data teams, with demonstrated experience owning both data engineering and analytics engineering functions at a prior organization, • Deep expertise in modern data stack technologies, particularly AWS data services, Snowflake, dbt, Airflow, Airbyte, Python, and SQL, • Deep expertise in analytics engineering, including dbt model design, dimensional modeling, and delivering trusted, business-facing data products, • Strong people management skills with experience providing coaching, performance feedback, and career development guidance to direct reports., • Track record of improving stakeholder trust in reporting and data quality across an organization, • Strong track record of designing and implementing data platforms, • Experience in media/streaming industry with understanding of video delivery analytics and metrics, • Demonstrated experience driving organizational alignment around data definitions, metrics, and a single source of truth, • Experience with data governance and compliance requirements At Philo, we're a company that puts people first—both our subscribers and our team. We empower our colleagues to do their best work while supporting one another in pursuing shared goals. We value pragmatism, pride in our work, and passion, with transparency and openness as fundamental parts of our culture. We're committed to diversity, equity, inclusion, and accessibility as we grow the Philo team and shape the future of TV. We believe that a diverse range of voices and perspectives enables us to innovate faster and create the best experiences for our subscribers. Philo is proud to be an Equal Opportunity Employer. We're committed to supporting every candidate and employee. If you need an accommodation at any stage of the process, please email and we'll work with you to meet your needs. Philo offers 70+ top-rated networks streaming live and on-demand, including AMC, BET, CMT, Comedy Central, Discovery Channel, Food Network, Hallmark Channel, HGTV, HISTORY, Investigation Discovery, Lifetime, MTV, Nickelodeon, OWN, VH1, We TV, and more. It also includes all the groundbreaking originals and blockbuster movies available with AMC+ and access to HBO Max Basic With Ads and discovery+. Our service also includes 100+ free channels and premium add-ons like STARZ and MGM+. Our extensive library boasts over 85,000 titles, and our unlimited DVR allows users to save their favorite shows and movies for up to a year, skipping ads for a seamless viewing experience. Stream on up to three devices simultaneously, whether on your phone, tablet, laptop, or TV using Roku, Apple TV, Fire TV, Samsung TV, Android TV, Vizio TV, or Chromecast. Philo is headquartered in San Francisco, with offices in New York City and Cambridge, MA. Our leadership team includes alums from HBO, Tubi, and Meraki, and is backed by NEA and industry partners like Warner Brothers Discovery, Viacom, AMC, and A&E. Join us at Philo and be part of a team that's shaping the future of TV! Status: Full-time Location: San Francisco, CA, Brooklyn, NY, Cambridge, MA, or remote within the U.S. Compensation: Includes annual salary, company stock options, and health benefits. Salary is determined by experience and location: • San Francisco, New York City: $240K - $275K, • Boston, DC Metro, Los Angeles, Seattle: $225K - $260K, • Denver, Atlanta, Austin, Las Vegas, Sacramento, Chicago: $215K - $250K, • Full health, dental and vision coverage for you and your family, • 401(k) plan with employer contributions (we match 100% of deferrals up to 3% of pay and 50% of the next 2% of pay), • Flexible working hours, • Up to 20 weeks of fully paid parental leave, • Unlimited paid time off for vacation and sick leave, • $2,000 annual vacation bonus (we pay you to take a two week vacation), • $5,250 annually for professional development and educational assistance, • $1,250 annual home office + TV stipend during first year of employment ($250 annually thereafter), • $500/month ($6,000/year) bonus for employees who commit to working at least 3 days per week in our offices, plus generous commuter benefits ($315/month towards transit, rideshare, bike rental, or parking at our HQ office in San Francisco), • Free Gympass subscription — an all-in-one corporate benefit that gives employees the largest selection of gyms, studios, classes, training and wellness apps, • Dog-friendly office Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Job Description Work includes: • Applied research in AI, • Transforming applied research into solutions, • Scaling AI solutions to large end-user population, • Development across a wide range of software engineering disciplines, • Development of graphical AI modeling languages and IDE's, • Work with speech and natural language recognition technologies, • Communication with customers and experts in a range of disciplines, • Development of innovative AI and software solutions to direct and support company vision., • Occasional travel based on role and project, • Serious Game / Training Simulation development, • Apply AI engineering best practices to develop solutions for the DoD, • Create AI behavior models for deployment in a variety of domains, • Employ cutting edge AI research to create realistic characters and entities to enhance training experiences, • Develop and enhance speech recognition and natural language technologies, • Develop and enhance a graphical behavior and device modeling technology, • Work with Subject Matter Experts to capture knowledge about a variety of training domains, • Analyze user needs and develop software solutions, • Collaborate with a small team of talented engineers to design and optimize code, • Create design documents for complex software systems, • Create new software designs and system architectures, • Lead software design efforts of other engineers, • Participate in code, model reviews, and test to ensure quality products and services for our customers, • Brainstorm and contribute ideas to overcome barriers to innovation, • Mentor younger team members on Discovery Machine best practices and culture, • Collaborate with others; being team-oriented and proactively engaging to meet shared objectives, • Must be a U.S. Citizen; Work Visa is not eligible, • Wide range of experience considered, • Strong analytical and critical thinking skills, • Must enjoy learning, • Bachelor’s degree in Computer Science or a related field, • Background in AI is a plus, • User Interface Design experience is a plus, • Previous experience in software development, computer engineering, or other related fields, • Knowledge of Java, C#, Python, or other programming languages, • Innovative products & services, • Competitive salary, • Full benefits partially subsidized by company, • Company matched simple retirement account (SRA), • Generous paid time off (holidays, vacation, and sick time), • Short-term and long-term disability insurance provided, • Merit raises and performance bonuses available, • Small company environment, • Snack bar, • Casual dress code Made of a small, tight-knit team of talented engineers, Discovery Machine develops and deploys a set of software solutions that push the boundaries of AI technology. From advanced research into completely novel AI technologies, to the utilization of cutting-edge natural language processing applications, work at Discovery Machine constantly exposes our employees to new and interesting engineering challenges.At Discovery Machine® Inc., we are revolutionizing the future of technology with our pioneering Artificial Intelligence (AI) solutions. We are scaling cutting edge AI solutions throughout the Department of Defense (DoD). If you are passionate about technology; if you love finding ground-breaking solutions to complex, cutting-edge technical problems; if you are determined to work at a small company, with a team of mentors and colleagues dedicated to helping you grow; then look no further, we want you to apply!\r\n\r\nMade of a small, tight-knit team of talented engineers, Discovery Machine develops and deploys a set of software solutions that push the boundaries of AI technology. From advanced research into completely novel AI technologies, to the utilization of cutting-edge natural language processing applications, work at Discovery Machine constantly exposes our employees to new and interesting engineering challenges.

Job DescriptionAbout Quizlet: At Quizlet, our mission is to help every learner achieve their outcomes in the most effective and delightful way. Our $1B+ learning platform serves tens of millions of students every month, including two-thirds of U.S. high schoolers and half of U.S. college students, powering over 2 billion learning interactions monthly. We blend cognitive science with machine learning to personalize and enhance the learning experience for students, professionals, and lifelong learners alike. We’re energized by the potential to power more learners through multiple approaches and various tools. Let’s Build the Future of LearningJoin us to design and deliver AI-powered learning tools that scale across the world and unlock human potential. About the Team: The AI & Data Platform team builds the foundation that powers applied AI across Quizlet: personalization and recommendations, retrieval and ranking, AI Coach, generative content, and emerging agentic experiences. We own the systems that make model development fast, reliable, observable, and safe, from data and features through training, evaluation, deployment, and inference. This team is pragmatic about build versus buy. We aggressively use the right mix of managed Google Cloud services, best-in-class vendor tooling, open-source infrastructure, and internal platform abstractions when that gives Quizlet the best combination of speed, reliability, and leverage. About the Role: As a Senior Staff Engineer on the AI Platform team, you will define the technical direction for Quizlet’s next generation of ML and LLM infrastructure. This is a deeply hands-on, org-level individual contributor role. You will architect critical platform systems, drive build-versus-buy decisions, partner with leaders across Applied AI, Data Science, Product Engineering, and Infrastructure, and raise the bar for how models and LLM-powered systems are trained, evaluated, shipped, served, and governed across the company. This role is ideal for an engineer who can operate at senior-staff scope in a large company, but wants the speed, ownership, and breadth of impact that come with a smaller, cloud-native environment. At Quizlet, the role spans the real stack rather than a narrow subsystem: Google Cloud, Kubernetes and GKE, distributed training, MLflow-centered workflows, data and feature foundations, online and asynchronous inference, and the evaluation and observability needed to run predictive ML and LLM systems safely at scale. We’re happy to share that this is an onsite position in our San Francisco office. To help foster team collaboration, we require that employees be in the office a minimum of three days per week: Monday, Wednesday, and Thursday and as needed by your manager or the company. We believe this work environment enhances efficiency, fosters collaboration, and supports growth for both employees and the organization. In this role, you will: • Set the multi-year architecture and technical roadmap for Quizlet’s AI platform across data, features, model development, evaluation, deployment, and serving, • Standardize MLflow-based workflows for experiment tracking, model packaging, artifact lineage, model registry, promotion, rollback, and inference deployment patterns, • Build and evolve the training foundation for both batch and distributed workloads on Google Cloud, with strong reproducibility, dataset versioning, and clear contracts between code, data, and models, • Design and scale reliable model-serving infrastructure for both classic ML and GenAI workloads, including low-latency APIs, asynchronous inference, GPU-backed services, autoscaling, canary and shadow rollout patterns, rollback safety, and cost-performance optimization, • Define Quizlet’s LLM platform patterns, including model gateways, prompt and version management, caching, batching, traffic routing, retrieval-augmented generation, evaluation harnesses, and safety guardrails, • Drive training-serving consistency and strong online-offline contracts across data pipelines, feature definitions, model packaging, and serving interfaces, • Improve platform reliability and observability with clear SLOs for critical pipelines and model services, plus strong visibility into latency, freshness, availability, drift, and cost., • Guide build-versus-buy decisions across Google Cloud services, vendor tooling, open-source components, and internal platform abstractions, • Partner closely with Applied AI, Data Science, Product, Security, and Infrastructure teams to turn platform investments into faster iteration, safer launches, and measurable learner and business impact, • Mentor senior engineers and act as a technical force multiplier across the organization What Success Looks Like in 12 Months: • AI teams move materially faster from idea to experiment to production, • A consistent MLflow-centered lifecycle exists for training, lineage, registry, promotion, rollback, and auditability, • Quizlet has a durable foundation for both predictive ML and LLM serving, with stronger latency, safety, reliability, and cost controls, • Platform adoption grows because the developer experience is simpler, more reliable, and clearly better than ad hoc solutions, • The company has a clear technical north star for AI platform investments across data, training, inference, evaluation, and governanceWhat you bring to the table:, • 10+ years of experience building large-scale ML, data, or inference platforms in production environments, • Proven track record operating as a staff or senior-staff IC, setting technical direction across multiple teams or an entire engineering organization, • Deep expertise in distributed systems and cloud infrastructure, preferably on Google Cloud, including containerized workloads on Kubernetes and GKE, • Strong familiarity with MLflow for model training and inference workflows, including experiment tracking, reproducibility, model registry, packaging, promotion, and deployment patterns, • Experience building platforms for model training, feature management, dataset lineage, online and batch inference, and model observability, • Hands-on experience with LLM and GenAI infrastructure, such as model serving, retrieval-augmented generation, vector retrieval, evaluation frameworks, prompt and version management, and safety or quality guardrails, • Strong engineering skills in Python plus one or more backend or systems languages such as Go, Java, or Scala, • Strong judgment in system design, reliability, security, privacy, and cost-performance tradeoffs, • Exceptional communication and stakeholder leadership skills, with a record of mentoring senior engineers and driving alignment in ambiguous environmentsBonus points if you have:, • Experience with Ray, Vertex AI, BigQuery, Pub/Sub, Spark, Flink, dbt, feature stores, Triton, vLLM, or similar platform technologies, • Experience supporting ranking, retrieval, search, recommendation, personalization, or other consumer-facing ML systems, • Experience building evaluation and observability tooling for both predictive models and LLM-based systems, • Experience in EdTech, consumer learning products, or domains where trust, quality, and safety matter deeplyCompensation, Benefits & Perks:, • Quizlet is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Salary transparency helps to mitigate unfair hiring practices when it comes to discrimination and pay gaps. Total compensation for this role is market competitive, including a starting base salary of $245,000 - $320,000, depending on location and experience, as well as company stock options, • Collaborate with your manager and team to create a healthy work-life balance, • 20 vacation days that we expect you to take!, • Competitive health, dental, and vision insurance (100% employee and 75% dependent PPO, Dental, VSP Choice), • Employer-sponsored 401k plan with company match, • Access to LinkedIn Learning and other resources to support professional growth, • Paid Family Leave, FSA, HSA, Commuter benefits, and Wellness benefits We strive to make everyone feel comfortable and welcome!We work to create a holistic interview process, where both Quizlet and candidates have an opportunity to view what it would be like to work together, in exploring a mutually beneficial partnership. We provide a transparent setting that gives a comprehensive view of who we are! In Closing: At Quizlet, we’re excited about passionate people joining our team—even if you don’t check every box on the requirements list. We value unique perspectives and believe everyone has something meaningful to contribute. Our culture is all about taking initiative, learning through challenges, and striving for high-quality work while staying curious and open to new ideas. We believe in honest, respectful communication, thoughtful collaboration, and creating a supportive space where everyone can grow and succeed together.” Quizlet’s success as an online learning community depends on a strong commitment to diversity, equity, and inclusion. As an equal opportunity employer and a tech company committed to societal change, we welcome applicants from all backgrounds. Women, people of color, members of the LGBTQ+ community, individuals with disabilities, and veterans are strongly encouraged to apply. Come join us! To All Recruiters and Placement Agencies: At this time, Quizlet does not accept unsolicited agency resumes and/or profiles. Please do not forward unsolicited agency resumes to our website or to any Quizlet employee. Quizlet will not pay fees to any third-party agency or firm nor will it be responsible for any agency fees associated with unsolicited resumes. All unsolicited resumes received will be considered the property of Quizlet.#LI-onsite We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionJob Title: Machine Learning Engineer, Training Infrastructure Position Type: Full time Location: San Francisco, CA, USA Salary Range: $150,000 - $250, 000 (USD) Job ID#: 158135 Job Description: We are looking for an ML Engineer with 3+ YOE in high-performance computing systems to manage and optimize our computational infrastructure for training and deploying our machine learning models. The ideal candidate has diverse experience managing ML workloads at scale, supporting our 3DVAE and video diffusion models. We encourage you to apply even if you don't meet every requirement — we value curiosity, creativity, and the drive to solve hard problems. Responsibilities * Design, implement, and maintain scalable computing solutions for training and deploying ML models, ensuring infrastructure can handle large video datasets. * Manage and optimize the performance of our computing clusters or cloud instances, such as AWS or Google Cloud, to support distributed training. * Ensure that our infrastructure can handle the resource-intensive tasks associated with training large generative models. * Monitor system performance and implement improvements to maximize efficiency and utilization, using tools like Airflow for orchestration. * Collaborate across research teams to understand their computational needs and provide appropriate solutions, facilitating seamless model deployment. Requirements: * Bachelor’s degree in Computer Science, Information Technology, or a related field, with a focus on system administration. * Experience with cloud computing platforms such as Amazon Web Services, Google Cloud, or Microsoft Azure, essential for managing large-scale ML workloads. * This role is vital for ensuring the computational backbone supports the company’s ML efforts, focusing on deployment and scalability. * Values engineering processes and version control (CI/CD). * Knowledge of containerization technologies like Docker and Kubernetes required for deployments at scale. * Understanding of distributed training techniques and how to scale models across multi-node clusters aligning with video generation needs. * Strong problem-solving and communication skills, given the need to collaborate with diverse teams. About Us: Founded in 2009, IntelliPro is a global leader in talent acquisition and HR solutions. Our commitment to delivering unparalleled service to clients, fostering employee growth, and building enduring partnerships sets us apart. We continue leading global talent solutions with a dynamic presence in over 160 countries, including the USA, China, Canada, Singapore, Japan, Philippines, UK, India, Netherlands, and the EU. IntelliPro, a global leader connecting individuals with rewarding employment opportunities, is dedicated to understanding your career aspirations. As an Equal Opportunity Employer, IntelliPro values diversity and does not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, disability, or any other legally protected group status. Moreover, our Inclusivity Commitment emphasizes embracing candidates of all abilities and ensures that our hiring and interview processes accommodate the needs of all applicants. Learn more about our commitment to diversity and inclusivity at . Compensation: The pay offered to a successful candidate will be determined by various factors, including education, work experience, location, job responsibilities, certifications, and more. Additionally, IntelliPro provides a comprehensive benefits package, all subject to eligibility. Powered by JazzHR PCOFjlVbHN

Job DescriptionWaabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: As a Software Engineer in High-Performance Onboard Algorithms, you will be a key contributor to the development and optimization of our real-time signal processing pipeline for autonomous driving. You will collaborate with our team of world-renowned scientists and engineers to build innovative, practical, and scalable solutions that handle massive amounts of sensor data (camera, LiDAR, radar, and others) with low latency and high reliability. We value original, high-impact ideas and rigorous experimental validation. You will… • Be part of a multidisciplinary team of Engineers and Scientists working on building a best-in-class, high-performance sensor processing stack., • Design, implement, and optimize highly efficient algorithms for sensor data acquisition, processing, fusion, and filtering, ensuring real-time performance on target hardware., • Work on shipping next-generation signal processing software, leveraging parallel computing architectures (e.g., CPU, GPU, specialized accelerators) and low-level system programming., • Fundamentals of computer architecture. You have a deep understanding of how modern computer systems work (multi-core, vector units, cache management, memory hierarchy, networking)., • Data-parallel algorithms. You have experience implementing data-parallel and compute-intensive algorithms in domains such as image/video processing, compression, and optimizing modern neural networks., • Heterogeneous computing and systems programming. You are comfortable with balancing workloads across multiple different processors, managing the ownership and movement of data buffers, and optimizing for overall system performance., • Performance profiling and optimization. You know how to identify bottlenecks in a complex codebase and make optimization decisions that have lasting impact., • Experience with accelerated computing like CUDA, Vulkan, and OpenCL., • Experience with domain specific languages such as Halide, Taichi, Mojo, or Warp., • Experience with CPU intrinsics (SSE/AVX, NEON/SVE)., • Experience with embedded systems., • Shipped production software in one or more of the following areas: image and video processing, compression, streaming algorithms, deep learning, geometry processing.

Job DescriptionJoin the Future of Robotic Biomanufacturing! Multiply Labs is a robotics company on a mission to solve a significant bottleneck in modern medicine: the manufacturing of life-saving advanced biologics, from gene and cell therapies to antibodies and more. Today, these therapies are produced through manual, labor-intensive processes. Costs are extremely high—often $500K–$2M per patient—limiting access to only a small fraction of those who need them. As product complexity increases and the cost of failure and scientific labor rises, the industry is shifting toward automation. Robotics and AI are making automated biologics manufacturing feasible, reliable, and economically scalable. We believe the future of biomanufacturing is robotic—closed, automated, and scalable—ensuring critical therapeutics are accessible to every patient who needs them. Why This Matters We don’t just build robots; we build the infrastructure for the next generation of biologics manufacturing. Our technology allows biopharma companies to scale production without redesigning their science, drastically lowering regulatory hurdles and bringing costs down to a level where these treatments can actually reach patients. The Stack & The Scale The Mission: Build the world’s best robots to make life-saving therapies accessible to all.The Technology: Advanced robotic orchestration, high-precision automation, cloud-integrated hardware-software systems, dextrous manipulation, and imitation learning.The Location: Headquartered in San Francisco, CA.The Backing: Supported by premier investors, including Casdin Capital, Lux Capital, and Y Combinator. To learn more and to view a video of our robots in action, visit us at and follow us on LinkedIn. About the Role As a senior member of our Robotics Software Engineering Team, you will be a key technical leader responsible for the intelligent software that powers our automated manufacturing systems. Working at the intersection of robotics and biopharma, you'll collaborate with a world-class team to solve complex challenges. This role is for a passionate, hands-on engineer dedicated to building robust systems that have a direct impact on patient lives.Responsibilities include: • System Design & Architecture: Designing and implementing production-ready software for our robotic platforms, spanning from low-level hardware communication to high-level robotic logic and system behaviors., • Core Algorithm Development: Implementing and optimizing sophisticated algorithms for trajectory planning, robotic interaction, motion control, and integrating data from various sensors., • Simulation & Testing: Building and maintaining high-fidelity simulations for validation and contributing to our automated test suites (CI/CD) to ensure software robustness., • Cross-Functional Collaboration: Working closely with mechanical and system software teams to integrate and troubleshoot complex, system-level robotics challenges., • Mentorship & Best Practices: Mentoring other engineers and championing software best practices to elevate the entire team.Qualifications, • Bachelor’s or Master’s degree in Computer Science, Robotics, Engineering, or a related discipline., • 5+ years of professional experience developing software for robotic or complex electromechanical systems., • Expertise in Python and a strong command of software engineering fundamentals (e.g., version control with Git, automated testing, CI/CD)., • Deep understanding of robotics principles, including kinematics, dynamics, motion planning, and control theory., • Experience leading cross-functional projects and a demonstrated ability to deliver on technical roadmaps., • Excellent communication, collaboration, and problem-solving skills, with comfort in a fast-paced startup environment.Nice to Haves, • Hands-on experience with robotics simulation environments (e.g., Isaac Sim, Gazebo, PyBullet)., • Familiarity with machine learning frameworks (e.g., PyTorch, TensorFlow) and their application to robotics (e.g., computer vision, imitation learning)., • Experience working in a regulated industry (e.g., GxP, ISO standards).Total Rewards & Life at Multiply Labs, • Competitive Compensation: Salary range of $160,000 - $250,000 a year plus meaningful early-stage equity. We want our team to have a real stake in the future we’re building., • Premium Health: Premium Medical, Dental, and Vision plans with subsidies for child dependents., • Wealth Building: 401(k) with a 4% company match to help you plan for the long term., • Pre-Tax Commuter Benefit: Pay for eligible transit and parking with pre-tax dollars to save on commuting costs., • Parental Support: Robust Paid Parental Leave to support your family’s newest additions., • True Flexibility: We offer Flexible PTO and 12 Paid Holidays, trusting you to manage your time and recharge when you need it., • No Set Hours: Set your own schedule in alignment with your manager and team. We hold a high bar, measuring success by impact and outcomes – not hours logged., • Office Perks: A vibrant SF office culture featuring catered team lunches, stocked kitchen, and frequent team events., • H-1B and Green Card sponsorship available for exceptional talent., • Referral bonuses for helping us build a world-class team., • Great people, meaningful work, and a team that genuinely believes in what we're building. Come build the world’s best robots—and help make life-saving therapies accessible to all.Multiply Labs is an early-stage startup where equity is a major part of the compensation package. Our job titles may span multiple career levels. Actual base pay is determined by several factors including: education, training, transferable skills, work experience, business needs, and location. We actively seek candidates with diverse perspectives and lived experiences. We’re committed to building a team where everyone feels valued, respected, and empowered to do their best work. Multiply Labs encourages candidates from all backgrounds to apply — even if you don’t meet every qualification. If you’re excited about our mission and think you can contribute, we’d love to hear from you. Our headquarters is located in San Francisco’s vibrant Dogpatch neighborhood. Some roles may require 5-10% of domestic and international travel.

Job DescriptionAbout Collate Collate is an AI document generation platform for life sciences. We automate paperwork with AI, helping our customers get life-saving innovations to patients years faster. Collate is an end-to-end solution, powering every step of drug, diagnostic, and medical device development—from concept to market. Our CEO Surbhi Sarna is a former General Partner at Y Combinator. Surbhi founded nVision Medical, which developed a new method to detect ovarian cancer and was acquired by Boston Scientific. Our CTO Nate Smith is a former Visiting Partner at Y Combinator and founder of Lever. Our AI researchers, engineers, and designers have worked at Google, Nvidia, Meta, Netflix, Amazon, AirBnB, Hippocratic AI, and Grail, and 40% of our team are former founders. We’re a small, elite team, with over $30M in seed funding from top investors (Redpoint, First Round Capital, Conviction, and Y Combinator) and leaders in healthcare and AI. This is a rare chance to join at the ground floor of a company with world-changing potential, experienced founders, and resources to execute at scale. About the Role We’re looking for an AI Engineer to help build and productionize the models and systems that power Collate’s products. You’ll work at the intersection of machine learning, software engineering, and product — turning cutting-edge research into reliable, user-facing capabilities. This is an opportunity to shape how advanced AI is applied in Life sciences — a space where performance, safety, and trust matter as much as innovation. As one of the first AI-focused engineers at Collate, you’ll define the standards for how we evaluate, and deploy models that directly impact drug and medical device development.What You’ll Do • Prompt optimization, red-teaming, and improving robustness of LLMs for life-science NLP applications within Collate’s products., • Build pipelines and infrastructure to deploy AI systems reliably, safely, and at scale., • Collaborate with product, design, and engineering teams to translate user needs into AI-driven features., • Develop evaluation frameworks to ensure models are accurate, fair, and trustworthy in real-world life science settings., • Experiment rapidly, while balancing iteration speed with the rigor required for high-stakes applications., • Create tools and workflows that make AI development more efficient across the team.What We’re Looking For, • Hands-on experience building and deploying ML/AI systems in production., • Strong foundation in deploying search and retrieval systems and NLP applications., • Ability to bridge research and engineering — from prototyping models to shipping them in user-facing products., • Comfort working in an early-stage startup where ambiguity is high and ownership is expected.

Job DescriptionZyphra is an artificial intelligence company based in San Francisco, California. The Role: As a Principal Solutions Architect, you will serve as the primary technical authority in all partner and customer-facing engagements across Zyphra’s full model portfolio and AI agent. You will articulate the technical value and differentiation of each of Zyphra’s AI models and agentic systems, guide partners and customers from initial evaluation through successful integration, and act as the face of our research. This is not a support role. You will own the full technical GTM motion: building the narratives, converting strategic relationships, and supporting commercial outcomes. You will also be a critical voice feeding partner and customer intelligence back into Zyphra’s research and product roadmap. The best candidates for this role think like researchers, communicate like an industry expert and have the credibility to operate at the highest levels of technical and executive conversation. You’ll Work Across: * Serving as the primary technical advisor to strategic partners and customers across Zyphra’s full AI model portfolio: including language, vision, audio, brain computer interface and agentic systems from initial discovery through deployment and expansion * Developing and delivering compelling technical narratives, demos, and evaluation frameworks that articulate the differentiation of each Zyphra model to audiences ranging from research teams and engineers to executives and business decision-makers * Leading technical discovery conversations with partners and customers to deeply understand their needs, use cases, and integration requirements, and translating those needs into actionable steps * Driving strategic partnership development and customer conversion, owning the technical relationship through the full commercial lifecycle * Synthesizing partner and customer intelligence into emerging use cases, unmet needs, deployment patterns, and competitive signals and delivering structured feedback that directly influences Zyphra’s research and product priorities * Building and maintaining a library of reusable technical assets: model evaluation frameworks, fine-tuning guides, deployment architectures, API integration playbooks, and use-case demos that accelerate how partners and customers adopt Zyphra's models * Representing Zyphra at industry conferences, technical workshops, academic forums, and partner events to build credibility and expand Zyphra’s technical presence * Collaborating closely with the GTM team, researchers, and engineers to align external technical positioning with internal capability and roadmap What We're Looking For / Requirements: * Deep technical fluency across one or more of Zyphra’s core domains: large language models and model architecture, multimodal AI, speech and audio synthesis, brain-computer interfaces and neural signal processing, or agentic AI systems * A PhD in machine learning, computer science, neuroscience or a closely related field is strongly preferred; exceptional candidates with a Master’s degree and demonstrated research depth will be considered * Demonstrated ability to communicate highly technical concepts clearly and compellingly to diverse audiences from key engineers to executives without sacrificing accuracy or depth * Prior experience in a customer-facing, partner-facing, or commercially-oriented technical role, solutions architecture, applied research, developer relations, technical business development, or equivalent * Strong instincts for identifying where AI technology creates differentiated commercial value, and the ability to build a persuasive case around that value in competitive contexts * Comfort operating in ambiguous, fast-moving environments where the product is evolving, the market is forming, and the playbook is still being written * Excellent collaboration skills across research, engineering, and GTM teams Qualifications / Additional Skills: * Research publications or contributions in AI, ML, audio synthesis, BCI, or related fields that demonstrate technical credibility with external scientific and engineering communities * Familiarity with model evaluation frameworks, benchmarking methodologies, and the ability to design and run rigorous technical assessments for partner or customer use cases * Experience developing integration architectures or deployment strategies for AI models in production environments, including API-based and on-premises configurations * Background in or exposure to developer-facing GTM motions: open-source community engagement, developer advocacy, or technical content creation * Understanding of enterprise AI adoption patterns, including the technical, organizational, and procurement dynamics that shape how large organizations evaluate and deploy AI systems * Comfort using AI tools (Claude, Cursor, etc.) to accelerate your own research, documentation, and technical communication work Why Work at Zyphra: * Zyphra is building at the frontier of AI and this role sits at the center of how that work gets seen * You will build and help define the function, not inherit it; there is no legacy playbook to maintain * We move with the urgency of a startup and the rigor of a research lab, speed and quality are not in tension here, they're expected together * You will work directly alongside researchers, engineers, and founders, not through layers of management, which means your work gets seen, challenged, and improved fast * We believe GTM can be a demonstration of what AI can do; you will be empowered to prove that Benefits and Perks: * Comprehensive medical, dental, vision, and FSA plans * Competitive compensation and 401(k) plan * Relocation and immigration support on a case-by-case basis * In-office snacks and meals provided * Unlimited PTO and company holidays * In-person team in San Francisco with a collaborative, high-energy environment

Job Description About Nudge At Nudge, our mission is to develop the best technology for interfacing with the brain to improve people's lives. We're starting with an approach that we believe can help the most people the fastest, and also allow us to learn as much about the brain as possible: developing a non-invasive, ultrasound-based device that can stimulate and image the brain at high resolution and depth. This is a vertically integrated effort building cutting-edge hardware, software, and research capabilities to create products that can benefit millions — and eventually billions — of people. To succeed, we need to assemble world-class teams across everything we do. We hire people who are exceptional at their craft, believe hard things are worth doing, and execute relentlessly — people who expect the highest levels of both rigor and integrity from each other. About the role As a machine learning engineer at Nudge, you will: * Design imaging algorithms that use in-house ultrasound transducers and high-performance compute to image the brain and skull * Build high-resolution acoustic simulations to model the scattering of sound energy in the skull and precisely predict the dose delivered * Develop computer vision systems to track the motion of a brain target in real time and dynamically adapt drive parameters to maintain consistent targeting * Work closely with mechanical engineers, electrical engineers, ultrasound engineers, transducer designers, and neuroscientists About you We are looking for engineers of all levels, with a preference for at least 3 years of industry experience. Regardless of your career level, you should have: * Strong first-principles understanding of engineering, physics, and signal processing. * Experience writing production-level code (Python preferred) * Degree in Computer Science or similar engineering discipline * You do not need prior experience with ultrasound or neuroscience * Shipped products that deliver value in the real world; ideally, you will have solved problems involving messy real-world sensors * High integrity and strong professional judgement

Job Description Fictiv Exists to Enable Hardware Innovators to Build Better Products, Faster Fictiv exists to help product innovators create. Fictiv is a global manufacturing and supply chain company that enables organizations to scale globally across Fictiv's four global manufacturing centers in India, Mexico, China, and the U.S.. Companies use Fictiv to access high-quality production, optimize supply chain logistics, and mitigate supply chain risk—ensuring they can move from prototype to full-scale manufacturing with speed and confidence. To date, Fictiv has delivered more than 35 million commercial and prototype parts for industries such as aerospace, robotics, automotive, climate tech, and more, helping them innovate faster, free up precious resources, and drive profitable growth. Impact In This Role As our Principal Product Manager - AI & Intelligent Manufacturing Systems, you'll serve as a strategic and technical thought leader driving the vision, roadmap, and execution of AI-powered capabilities across Fictiv's Manufacturing Quoting and Fulfillment Platform. This is a highly visible, high-leverage role — one that shapes how AI and automation become foundational to Fictiv's operating system for new product development (NPD). You'll partner directly with our AI R&D, data science, and platform architecture teams to define the core intelligence layer that powers quoting, supply orchestration, and manufacturing decision-making at scale. You will own and evolve the product strategy that fuses advanced AI models, data-driven automation, and manufacturing domain intelligence into a cohesive system that sets new standards for operational efficiency, precision, and speed. This role is ideal for a seasoned product leader with experience bringing AI-first enterprise platforms to life — someone equally comfortable discussing model architectures and data pipelines as they are business value and market differentiation. You will report to the VP, Product Management. Areas of Responsibility: 1. AI Technology Strategy & Product Vision • Define the long-term AI technology strategy for Fictiv's digital manufacturing platform — including where and how to leverage LLMs, machine learning, computer vision, and reinforcement learning, • Partner with AI research and engineering leadership to translate R&D advances into scalable, customer-facing capabilities, • Identify and prioritize core AI product opportunities — from intelligent quoting and auto-classification of 3D models to predictive supplier matching and adaptive routing engines, • Drive the architectural vision for Fictiv's AI intelligence layer, ensuring alignment between data infrastructure, ML systems, and platform integration, • Evangelize the role of AI within the organization — educating teams on capabilities, limitations, and ethical deployment of intelligent systems2. Deep Technical Product Leadership, • Serve as the product owner for AI infrastructure and model lifecycle management, including data acquisition, training, deployment, monitoring, and feedback loops, • Partner with ML engineers and data scientists to design human-in-the-loop workflows that continuously improve system accuracy and explainability, • Own the AI feature pipeline: define use cases, establish model performance metrics (precision, recall, latency, cost), and measure impact on business KPIs (quote accuracy, margin, lead time), • Collaborate with platform engineering to ensure scalability, modularity, and compliance in AI integrations, • Drive responsible AI practices, including fairness, transparency, and auditability in model-driven decision systems3. Solutions Integration & Application Development, • Lead the development of AI-driven application modules — such as automated quoting, manufacturability assessment, supplier recommendation, and production forecasting, • Work with product teams across quoting, fulfillment, and partner management to identify where intelligence adds differentiated value, • Ensure AI and automation capabilities are embedded seamlessly into Fictiv's core user experiences and operational workflows, • Act as a bridge between AI technology development and solution commercialization, ensuring innovations move efficiently from lab to production4. Metrics, Experimentation, and Validation, • Define the performance framework for all AI-enabled systems, including model metrics (accuracy, throughput, latency), business KPIs (margin improvement, cycle time reduction), and adoption metrics, • Lead data-informed experimentation programs to validate new model capabilities and measure real-world impact before scaling, • Champion continuous learning loops between R&D, product, and operations teams5. Cross-Functional & Executive Influence, • Partner with senior leadership across Product, Engineering, Data, and Operations to align AI investments with strategic business outcomes, • Influence architecture, resource allocation, and data strategy decisions that affect Fictiv's AI roadmap, • Mentor and guide other product managers in the organization on AI-first thinking and technical product management best practices, • 10+ years of product management experience, including 4+ years leading AI or ML-driven products from research to production, • Proven track record building AI-first SaaS or enterprise systems, ideally in manufacturing, supply chain, logistics, or industrial automation, • Deep understanding of AI technologies, including LLMs, supervised/unsupervised ML, computer vision, or predictive analytics pipelines, • Demonstrated success collaborating with AI research teams and data engineering to operationalize models into scalable, production-grade systems, • Fluency in data infrastructure concepts (feature stores, inference APIs, model retraining, observability), • Strong technical intuition and ability to engage deeply with engineers and data scientists on architecture, experimentation, and trade-offs., • Analytical rigor and comfort with experimentation frameworks, A/B testing, and quantitative product measurement, • Exceptional communication and influence skills — able to connect technical complexity to business impact and inspire alignment across functionsPreferred, • Domain experience in manufacturing, supply chain, or CAD/CAM ecosystems, • Experience designing or managing systems with human-in-the-loop AI, active learning, or automated decision-support models, • Working knowledge of product data ontologies, graph databases, or knowledge modeling for industrial applications The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee routinely is required to sit; walk; talk and hear; use hands to keyboard, fingers, handle, and feel; stoop, kneel, crouch, twist, crawl, reach, and stretch. Perks and Benefits • Competitive medical, dental, and vision insurance, • 401K plan, • Monthly Virtual Work stipend for things like food, internet, travel, pet care, health and wellness, • Annual Education stipend, • Parental leave programs, • Paid volunteer days, • Onboarding setup, including: standing desk, laptop, monitor, and chair, and a stipend for additional items such as headphones, blue light glasses, or any other ergonomic supplies you may want or need Arizona (AZ), California (CA), District of Columbia, (DC), Delaware (DE), Florida (FL), Georgia (GA), Hawaii (HI), Iowa (IA), Illinois (IL), Indiana (IN), Kansas (KS), Massachusetts (MA), Maryland (MD), Michigan (MI), Minnesota (MN), Missouri (MO), North Carolina (NC), New Hampshire (NH), New Jersey (NJ), New York (NY), Nevada (NV), Ohio (OH), Oregon (OR), South Carolina (SC), Texas (TX), Tennessee (TN), Utah (UT), Virginia (VA), Washington (WA), West Virginia (WV), Wisconsin (WI), Wyoming (WY) Salary Range: $210,000 to $230,000 per year, based upon experience Interested in learning more? We look forward to hearing from you soon. About Fictiv Fictiv is transforming how the next rockets, self-driving cars, and life-saving robots are designed, developed, and delivered to customers around the world. People who succeed at Fictiv are talented, creative, and driven to achieve professional excellence and support our vision to help product innovators create. We're actively seeking teammates who: • Bring diverse perspectives and experience to our culture and company., • Excel at being part of a strong, empathetic team., • Thrive in an environment emphasizing respect, honesty, collaboration, and growth., • Have an 'always learning' mindset that celebrates learning, not just wins.

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Network Engineer - Data for Autonomous Systems annotation Type: Contract Compensation: $50–$70/hour Location: Remote Commitment: 30–40 hours/week Role Responsibilities • Review real-world data from deployed networks, including logs, configs, telemetry, and event streams., • Label and classify key behaviors, issues, and anomalies in network data., • Help define schemas and structure for large-scale data pipelines., • Interface directly with the client team to ensure data quality and relevance. Must-Have • Experience working as a network engineer, ideally with enterprise networks (switches, APs, firewalls, etc.)., • Comfort with interpreting logs, events, and time-series metrics., • Upload resume, • AI interview based on your resume

Job DescriptionCareer Renew is recruiting for one of its clients a Growth Account Executive - Finance - this is a fully remote role for US based candidates. Salary range: 100-125K USD base (200-250K OTE) plus benefits plus equity and uncapped commissions.We are the leading provider of innovative identity and risk solutions, empowers institutions and individuals to transact confidently with one another by preventing synthetic fraud, identity theft, and emerging forms of first party fraud at the point of account application. Its solutions enable these secure transactions by leveraging a deep understanding of identity and risk, and are informed by machine learning models and insights from a team of top risk analysts. We proudly serve a broad array of financial institutions, from the largest U.S. banks to leading credit unions and fintech unicorns to help stop fraud at account opening and beyond. Headquartered in San Francisco, the company was founded in 2017 and it has raised $85M to date from investors including Andreessen Horowitz, Craft Ventures, and NYCA Partners, among others. We are looking for a Growth Account Executive with 3+ years of experience to expand our market share in the Fintech space. You'll be a great fit if you're a strong seller with a deep understanding of the fraud and identity domain and a proven track record of selling technical products to financial institutions. What will you be doing? • Take on a ready-made book of warm leads to manage and close., • Own the full 3-6 month sales cycle, from leading meetings and building relationships to closing commercial agreements., • Sell a technical, score-based product to solve complex fraud and identity problems for top Fintechs., • Navigate complex organizations to build champions and align with key decision-makers., • 3+ years of successful experience as an Account Executive., • Must have experience selling into financial institutions; Fintech experience is strongly preferred., • Domain experience in fraud, identity, or a closely related technical field is a hard requirement., • Strong tenure, with an average of at least 2.5 years per role., • Experience selling a complex, technical product.Why you should join, • $85M raised from top-tier investors including Andreessen Horowitz, Craft Ventures, and NYCA Partners - we're well-funded with strong backing., • Named to Forbes Fintech 50 every year since 2023 and featured in TechCrunch, CNBC, Bloomberg, and Forbes., • $200K-$250K OTE + equity with 50/50 split, uncapped commission, and full health coverage for you and your family., • Clear growth path to Enterprise or Strategic teams - this role is designed as a stepping stone to higher-level positions., • Real-time APIs have verified hundreds of millions of identities - we're solving massive fraud problems for major banks and fintech unicorns.

Job DescriptionAt Windfall, data isn't just a resource—it’s our product. We are on a mission to democratize access to sophisticated people insights, transforming how organizations understand and engage with their audiences. By leveraging a vast and proprietary data ecosystem, we empower non-profits to exceed their fundraising goals and commercial enterprises to maximize their marketing ROI through precision and intelligence. We’re looking for a Data Analyst to help us unlock the full potential of our unique data assets. In this role, you’ll collaborate with a talented cross-functional team of engineers and scientists to solve complex problems, advance your analytical toolkit, and deliver measurable impact for our customers. We’re on a mission to change how organizations perceive and use people data. And we hold true to our core values of: (1) Be an excellent communicator; (2) Operate with transparency; (3) Provide leverage, not optimization; (4) Make a difference every day; and (5) Act with integrity and trust.Responsibilities: • Aggregate data from several sources and conduct data research to generate accurate analysis to support our product development., • Generate visualizations leveraging different technologies to be included in slide decks and dashboards., • Influence internal stakeholders by constructing slide decks from inception and effectively communicate results., • Deeply understand and document structures and processes that make up our data pipeline., • Investigate the quality and relationships of new and existing data sources., • Perform analyses, extract insights, and make recommendations on next steps.Requirements:, • Bachelor’s degree, • 2-4 years of professional work experience (including internships) in an Analyst role, • Proficient in SQL, • Collaborative team-focused attitude with a strong desire and learn new things and support the business, • A fierce sense of ownership and responsibility in one’s work, • Ability to translate a business problem into technical steps, and data-driven insights into recommendations, • Demonstrates attention to detailPreferred Qualifications:, • Demonstrated experience building dashboards

Job DescriptionData Science & Analysis - AI TrainingAbout Prolific Prolific is not just another player in the AI space – we are building the biggest pool of quality human data in the world. Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills. The role We're looking for Data Scientists and Data Analysts to join our Expert Network to help train and evaluate cutting-edge AI models using real technical expertise. If you have the necessary experience, we'll send you a quick 10- to 15-minute test to assess your skills and suitability for AI tasks. If successful, you'll be invited to join Prolific as a participant, where you'll get paid to train and evaluate powerful AI models. Researchers looking for your skills tend to pay up to $80 per hour. You must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter. What you'll bring • Education: a BS, MS, or PhD in Data Science, Statistics, Mathematics, or a closely related quantitative field., • Professional Experience: real-world experience in data analysis, predictive modeling, or machine learning engineering., • Technical Rigor: the ability to solve complex statistical problems and interpret high-level data visualizations independently., • Analytical Mindset: strong attention to detail with the ability to identify subtle logical fallacies in statistical reasoning or data interpretations., • LLM Fluency: significant experience using LLMs to assist with data workflows, with a clear understanding of where these models typically hallucinate or fail., • Communication: the ability to explain complex mathematical concepts or data insights clearly and concisely., • A PayPal account to receive payment from our clients What you'll be doing in the role • Evaluate LLM Responses: review AI-generated data insights and statistical analysis for accuracy, clarity, and completeness., • Fact-Check Technical Claims: use authoritative references to validate mathematical proofs, statistical formulas, and data-driven conclusions., • Validate Code & Outputs: execute data-related scripts (e.g., Python/R) to ensure they produce correct results and handle edge cases properly., • Annotate Model Performance: identify strengths and weaknesses in how a model reasons through data problems or builds predictive models., • Ensure Alignment: verify that model responses follow specific system guidelines and maintain a high standard of professional technical behavior. Key Technologies • Programming: proficiency in Python (Pandas, NumPy, Scikit-learn) or R., • Data Querying: advanced SQL for complex data extraction and manipulation., • Visualization: experience with tools like Tableau, PowerBI, or Matplotlib/Seaborn. We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems. We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviours into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation – one that reflects the breadth and the best of humanity. Links to more information on Prolific Website Youtube Privacy Statement By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific's Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal personal information.

Job Description About us Symbolica was founded on a simple idea: intelligence is about structure and reasoning, not just pattern matching. For decades, AI has been split between symbolic systems that are reliable but brittle and neural systems that are flexible but unpredictable. We're building a bridge between the two. We're an AI research lab combining deep mathematics and machine learning to create systems that truly reason. Using category and type theory as a unifying framework, we develop interpretable, reliable and scalable foundations for intelligence and turn them into real products, working in a tight feedback loop where research directly shapes application. Agentica is the latest expression of this vision: an agent framework for tool use and multi-agent orchestration through arbitrary code execution. It recently achieved 85.28% on ARC-AGI-2, setting a new public SOTA. Founded in 2022, we've raised over $30M from investors including Khosla Ventures, General Catalyst, Abstract Ventures and Buckley Ventures, backing us to rethink the mathematical foundations of machine learning. If you've ever been kept awake wondering what comes after deep learning, you'll fit right in. About this role You will own Symbolica's external narrative end to end, with a bias toward shipping: clear messaging, crisp writing, and a steady drumbeat of visibility that makes Agentica unavoidable in the right circles. You will translate research into product relevance, turn product reality into market pull, and build a repeatable comms and marketing engine that earns high-quality media and conference presence for our brand and CEO while also driving adoption through customer-facing channels. This is a hands-on role based onsite, designed for someone who has operated inside a real tech company and knows how to move fast without sounding like a campaign or agency. 📍 This is an onsite role based in our San Francisco office (345 California St). Your focus • Own Symbolica's positioning and messaging across every surface area: website, product, docs, blogs, emails, decks, social, partner materials, and founder narratives, collaborating closely with our Brand and Design Lead, • Build and run launch and ongoing programs that create sustained awareness and adoption: announcements, blogs, content series, community and developer campaigns, partner pushes, and moment-making., • Lead PR and earned media: manage journalist relationships, drive a consistent cadence of high-quality interviews, speaking opportunities, and features, and ensure every story lands with precision., • Build our executive's external presence: speaker strategy, pipeline, event targeting, talk abstracts, support, and amplification to convert attention into inbound., • Run customer-facing comms ops: product announcements, lifecycle emails, newsroom updates, website refresh cadence, and narrative consistency across all customer touchpoints. About you • You have shipped marketing and comms inside a high-performing tech company, ideally developer or infrastructure adjacent, and you can show work that changed outcomes., • You are an exceptional writer and editor who can sound technical without being dense, and who can create crisp narrative frameworks that other teams can actually use., • You have strong PR instincts and operator chops: you can build a media plan, manage relationships, pitch effectively, and turn coverage into a compounding program., • You have taste and judgment: you know what is credible, what is hype, what is premature, and how to make ambitious work feel inevitable without overclaiming., • You are low ego, high ownership, fast, and calm under pressure. You collaborate tightly with founders, push for clarity, and handle sensitive narrative decisions with discretion. We offer competitive compensation, including an attractive equity package, with salary and equity levels aligned to your experience and expertise.

Job Description At Serve Robotics, we’re reimagining how things move in cities. Our personable sidewalk robot is our vision for the future. It’s designed to take deliveries away from congested streets, make deliveries available to more people, and benefit local businesses. The Serve fleet has been delighting merchants, customers, and pedestrians along the way in Los Angeles, Miami, Dallas, Atlanta and Chicago while doing commercial deliveries. We’re looking for talented individuals who will grow robotic deliveries from surprising novelty to efficient ubiquity. Who We Are We are tech industry veterans in software, hardware, and design who are pooling our skills to build the future we want to live in. We are solving real-world problems leveraging robotics, machine learning and computer vision, among other disciplines, with a mindful eye towards the end-to-end user experience. Our team is agile, diverse, and driven. We believe that the best way to solve complicated dynamic problems is collaboratively and respectfully. The Senior Systems Verification & Validation Engineer is responsible for demonstrating and ensuring robots are safe, robust, performant, and satisfy market/customer needs. This position owns the verification & validation of requirements for autonomous last-mile delivery robots, both building out the high-level test campaigns through to defining the individual test cases and execution. This role partners cross-functionally to define and orchestrate the test and evaluation of complex systems by breaking high-level product goals and system requirements down into actionable strategies and methods for evaluation. Responsibilities * Lead verification & validation test campaigns that ensure all requirements are satisfied and the delivery of a safe and responsible autonomous product * Work cross-functionally to develop novel strategies and methods to verify and validate both the hardware and software of an autonomous sidewalk delivery robot, drawing on analysis, simulation, HIL testing, and vehicle testing * Execute the technical and logistical planning of vehicle tests including cross-functional coordination with other teams, such as hardware, firmware, and autonomy * Maintain traceability between requirements, test cases, and results * Work cross-functionally to develop detailed simulations and structured test plans and procedures * Troubleshoot and debug issues in the field, and trace failures to correct subsystems * Perform test data analysis and report test results. Define and develop automated data extraction tools to streamline analysis and reporting Qualifications * B.S. in Mechanical, Electrical, Software or equivalent engineering field * 8+ years of experience in the design and test of complex electromechanical and/or robotic systems * Experience and willingness to be hands-on with developing and building test infrastructure, executing tests and debugging of electromechanical systems * Experience with test scripting and data analysis languages (e.g. Python and SQL) * Fundamental knowledge of mechanical, electrical, and software engineering * Experience in data analysis of test results including probability and statistical analysis techniques * Experience with systems engineering fundamentals, particularly verification & validation methods * Excellent written and verbal communication skills for audiences ranging from technicians to senior executives What Makes You Stand Out * M.S., or Ph.D in Mechanical, Electrical, Software or equivalent engineering field * Experience in autonomous systems and/or mobile robotics * Experience in one or more of the following industries: automotive, medical, aerospace, robotics * Experience working in Unix/Linux environments Compensation Range: $185K - $205K

Job Description About Paradromics Brain-related illness is one of the last great frontiers in medicine, not because the brain is unknowable, but because it has been inaccessible. Paradromics is building a brain-computer interface (BCI) platform that records brain activity at the highest possible resolution: the individual neuron. AI algorithms then decode this massive amount of brain-data, enabling the seamless translation of thought into treatments. Our first clinical application, the Connexus® BCI, will help people who are unable to speak, due to ALS, spinal cord injuries, and stroke, to communicate independently through digital devices. However, the capabilities of our BCI platform go far beyond our first application. With the brain in direct communication with digital devices, we can leverage technology to transform how we treat conditions ranging from sensory and motor deficits to untreatable mental illness. The Role As a Research Engineer at Paradromics, you’ll work closely with our team of Scientists and Engineers to develop software that enables our clinical applications. You will help design software to restore communication ability for our BCI users, enabling successful clinical studies of the Connexus System. Responsibilities • Develop data curation strategies for user interaction and BCI data, • Realize BCI decoding algorithms as performant software, • Evaluate software with simulated and real neural data, as well as with our BCI hardware in the loop, • Participate in code reviews and contribute to the development of new features and tools, • Work closely with our engineering, neuroscience, and quality teams to identify and capture needs and requirements, • Regularly travel between our Austin and Oakland offices Required Education • Bachelor's degree in Computer Science, Computer Engineering, or a related field; or equivalent real world experience, • 3+ years of professional experience relevant to this role Required Qualifications • Highly proficient in Python, • Experience with Rust, C++, or Go, • Familiarity with machine learning concepts and experience collaborating with machine learning practitioners, • Demonstrated prior professional experience with multiple programming languages Preferred Qualifications • Working knowledge of operating systems concepts and performant software, • Familiarity with signal processing / time series data processing concepts and algorithms. Salary: $120,000-150,000 base Powered by JazzHR OabbHPpqBb

Job DescriptionWaabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: The Behaviors team at Waabi develops cutting-edge simulation agents and scenario generation algorithms for Waabi World, our simulation platform. As a Senior/Staff Research Engineer on our Behaviors team, you will create the next generation of simulation software for autonomous driving. You will work closely with our multidisciplinary team of research scientists and software engineers to build innovative, practical, and scalable solutions to challenging problems as part of our next-generation self-driving solution. You will...- Architect robust and scalable training and evaluation frameworks for IL/RL-based traffic agents.- Design and implement scalable data pipelines for generating large-scale training datasets.- Productionize cutting-edge research into robust, scalable systems in Waabi World, our simulation platform.- Contribute to technical direction and strategy for realistic traffic agents and scenario generation. Qualifications:- Experience with imitation learning, reinforcement learning, planning, and/or robotics.- Expertise with ML frameworks such as PyTorch, TensorFlow, or Jax.- Proven ability to take research from prototype to production systems.- Excellent software engineering skills with experience building scalable ML systems.- Open-minded and collaborative team player with willingness to help others. Bonus/nice to have:- Masters/PhD in machine learning, computer science, engineering, or a related field.- Publications in top-tier conferences or journals related to machine learning or robotics.- Experience in self-driving, traffic simulation, or a related field.- Expertise coding in Rust/C++. The US yearly salary range for this role is: $158,000 - $269,000 USD in addition to competitive perks & benefits. Waabi US Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.Perks/Benefits:- Competitive compensation and equity awards.- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).- Unlimited Vacation.- Flexible hours and Work from Home support.- Daily drinks, snacks and catered meals (when in office).- Regularly scheduled team building activities and social events both on-site, off-site & virtually.- As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionRETHINK MANUFACTURING The only way to ignite change is to build the best team. At Bright Machines®, we’re innovators and experts in our craft who have joined together to create a new category of manufacturing that will help transform the industry. We believe software and data are the answer, thoughtfully applied to solve our customers’ unique challenges. Through intelligent automation, we give factories newfound flexibility, scalability, and resilience. We deliver products to meet the demands of today while building a platform to take advantage of what comes next. Working with us means you’ll have the opportunity to make lasting, impactful changes for our company and our customers. If you’re ready to apply your exceptional skills to create the factory of the future, we’d love to speak with you. ABOUT THE ROLE As a senior Robot Perception Engineer on the Smart Robotics team at Bright Machines, you will be a hands-on senior contributor responsible for productizing visual inspection solutions for our automation platform. You will own the full pipeline—from algorithm development to production deployment—turning prototype inspection capabilities into reliable, high-throughput features that operate at scale across our automation lines. In this role, you will develop and optimize computer vision and deep learning models for defect detection, classification, and visual validation. You will collaborate closely with cross-functional teams, including Mechanical Engineering and Manufacturing Operations, to design end-to-end inspection solutions that deliver consistent, accurate results under real-world factory conditions. Additionally, you will have the opportunity to shape the inspection product roadmap and drive the adoption of cutting-edge machine learning techniques in an industrial setting. WHAT YOU WILL BE DOING * Develop and optimize visual inspection algorithms for defect detection, anomaly detection, classification, and quality validation using deep learning * Optimize model inference for GPU deployment, leveraging CUDA, TensorRT, and related acceleration frameworks * Collaborate with Mechanical engineers to design illumination setups that maximize inspection accuracy and robustness * Build and maintain data pipelines for model training, evaluation, and continuous improvement * Partner with platform team to establish MLOps practices for model versioning, experiment tracking, automated retraining, and production model monitoring * Harden inspection solutions for production reliability, including monitoring, alerting, and graceful degradation * Work with service engineering and field teams to deploy inspection solutions and support customer rollouts * Define metrics and benchmarks to measure inspection accuracy, throughput, and reliability WHAT YOU WILL BRING * MS or PhD in Computer Science, Electrical Engineering, or a related field, or the equivalent in experience with evidence of exceptional ability. * 5+ years of relevant experience in computer vision and/or machine learning * Strong programming skills in Python * Deep experience with PyTorch for model development and training * Experience optimizing ML models for GPU inference in production environments * Track record of shipping ML/CV models from prototype to production * Experience with image acquisition, camera systems, and sensor integration IT WOULD BE GREAT IF YOU HAD • Knowledge of lighting and optics for machine vision (diffuse/directional illumination, lens and filters) Experience with industrial camera systems and standards (GigE Vision, GenICam, CoaXPress) * C/C++ experience for performance-critical components * Experience with MLOps tooling (MLflow, Weights & Biases, Kubeflow, or similar) * Experience with data annotation, labeling workflows, and active learning strategies * Experience with ROS2 * Understanding of manufacturing processes and quality control methodologies * Publications or patents in computer vision, deep learning, or related fields BE EMPOWERED TO CHANGE AN INDUSTRY Bright Machines is a next-generation, AI-enabled manufacturer focused on data center infrastructure assembly operations. Bright Machines uses its proprietary AI-based robotics and software to assemble AI infrastructure hardware products (i.e., data center servers) for hyperscalers and leading Original Equipment Manufacturers (OEMs). With its new AI factory, Bright Machines addresses increasing market demands for computing power due to the surge of AI and the U.S. national mandate to reshore manufacturing by building data center infrastructure at scale with higher quality and shorter time-to-market. Bright Machines is headquartered in San Francisco, California, with an integration center in Guadalajara, Mexico. The company has been recognized as one of Forbes’ AI 50, awarded “Best AI-based Solution for Manufacturing” by AI Breakthrough, named a “Technology Pioneer” by the World Economic Forum, and highlighted by several other leading technology and innovation organizations. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionWaabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: The Behaviors team at Waabi develops cutting-edge simulation agents and scenario generation algorithms for Waabi World, our simulation platform. As a Research Scientist on the Behaviors team, you will work closely with our multidisciplinary team of research scientists and engineers to invent the next generation of models and algorithms that power Waabi World. Your work will define the scenarios that push our self-driving system to its limits, generate the training signal that makes them better, and form a core pillar of our scientific safety case to put them on the road. You will...- Own and pursue a research agenda to develop realistic and controllable simulation agents.- Advance the state-of-the-art in imitation learning, reinforcement learning, generative models, foundation models, planning and search, and other related areas for simulation agents.- Collaborate with our simulation, autonomy, and safety teams to define high-impact research problems, ship solutions into production, and drive progress towards Waabi’s milestones.- Mentor junior scientists and interns; foster a culture of scientific rigor and rapid experimentation.- Publish high-impact research at top-tier conferences in machine learning or robotics. Qualifications:- Masters/PhD in machine learning, computer science, engineering, or a related field.- Strong background in imitation learning and/or reinforcement learning.- Publications in top-tier conferences or journals related to machine learning or robotics.- Proficiency with modern ML frameworks such as PyTorch, TensorFlow, or Jax. Bonus:- Experience in self-driving, traffic simulation, or a related field.- Proven ability to take research from prototype to production systems.- Strong software engineering skills, including experience with large-scale training or simulation. The US yearly salary range for this role is: $158,000 - $269,000 USD in addition to competitive perks & benefits. Waabi US Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus. Perks/Benefits:- Competitive compensation and equity awards.- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).- Unlimited Vacation.- Flexible hours and Work from Home support.- Daily drinks, snacks and catered meals (when in office).- Regularly scheduled team building activities and social events both on-site, off-site & virtually.- As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionWaabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: You will...- Collaborate with cross functional teams - including Maps, Data, and Simulation - to curate and generate high-quality datasets essential for training and evaluating our online mapping system. - Work closely with the Perception and Motion Forecasting teams to design, evaluate, and iterate on robust online mapping algorithms that dynamically adapt to real-world changes—such as road closures, construction, or shifting traffic patterns—ensuring accurate and safe navigation for our autonomous vehicles.- Partner with platform teams to ensure seamless integration, deployment and continuous operation of the online mapping system within our self-driving vehicles. - Champion engineering excellence, ensuring high-quality, well structured and tested code.- Contribute to the broader research community by publishing findings at top conferences and sharing insights on Waabi’s blog, helping establish Waabi as a leader in online mapping research. Qualifications:- MS/PhD or Bachelors degree with a minimum of 2 years of industry experience in Computer Science, Machine Learning and/or similar technical field(s) of study.- Experience working on applied research projects in ML/Autonomous driving. - Passion for taking research ideas and turning them into practical solutions for real-world applications.- Solid understanding of computing fundamentals, including code efficiency.- Strong grasp of machine learning and computer vision literature, including current trends and state-of-the-art techniques.- Proficient in Python programming with a focus on writing high-quality, well-structured, and tested code.- Comfortable working with large datasets for machine learning applications.- Open-minded and collaborative team player with the willingness to help others.- Experience and excitement in supporting a fast-paced high-growth environment.- Passionate about being part of an organization solving self-driving technologies. Bonus/nice to have:- Experience in shipping machine learning features/models into production.- Previous experience in perception and/or online mapping systems. - Previous experience in self-driving technology or related fields.- Publications in top-tier conferences or journals related to computer vision, machine learning, or robotics.- Experience in working with platform teams and collaborating with research teams to implement and validate deep learning models.- Proficiency in Pytorch, Rust, C++ and/or CUDA. The US yearly salary range for this role is: $155,000 - $213,000 USD in addition to competitive perks & benefits. Waabi US Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus. Perks/Benefits:- Competitive compensation and equity awards.- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).- Unlimited Vacation.- Flexible hours and Work from Home support.- Daily drinks, snacks and catered meals (when in office).- Regularly scheduled team building activities and social events both on-site, off-site & virtually.- As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionWaabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: Simulation is at the core of Waabi’s approach to autonomous vehicle development. Our closed-loop simulation engine built with the latest in generative AI technologies, Waabi World, provides an extremely realistic environment for training and evaluating self-driving systems. The Simulation Platform team is responsible for delivering a modular and scalable platform which integrates the onboard autonomy system, intelligent actor models, and sensor simulation. You will...- Contribute to and improve our state of the art self-driving simulator Waabi World to accelerate autonomous vehicle (AV) development. - Improve the scalability and performance of the simulation platform to run simulations efficiently at an extremely large scale. - Design and implement orchestration software between simulation subcomponents including the autonomy system, data-driven actor models, and sensor simulation powered by generative AI. - Participate and share ideas in technical and architecture discussions, collaborating with researchers and engineers.- Work closely with internal users to understand their requirements and workflows and propose new features to streamline and improve their experience using the simulator.- Advocate and set patterns for software development.- Drive complex cross-functional technical projects with impact across Waabi’s systems and company-wide impact. Qualifications:- MS/PhD or Bachelors degree with a minimum of 5 years of industry experience in Computer Science, Robotics and/or similar technical field(s) of study.- Experience with a variety of backend technologies and languages. Examples: Rust (Preferred), C++, Python.- Experience developing and maintaining production quality software, versus only creating prototypes/proof of concepts.- Linux/Unix experience- Understanding of test-driven and API-driven development methodologies.- Experience designing interfaces between systems.- Experience with multi-threaded system design/architecture, algorithms, data structure design, and systems-level programming.- Experience working with cross-functional partners/stakeholders when building software frameworks.- Experience with software performance, optimization, and profiling.- Experience with concurrency and determinism.- Open-minded and collaborative team player with willingness to help others.- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions. Bonus/nice to have:- Experience with game engine development, simulation, or other similar application runtime development. - Experience in autonomous systems, robotics or machine learning.- Experience working in distributed systems or emulation at scale.- Docker & Bazel experience- Experience building software systems from scratch.- Experience working in an Agile/Scrum environment.- Experience working with accelerators.- Experience with sensor data processing.The US yearly salary range for this role is: $159,000 - $268,000 USD in addition to competitive perks & benefits. Waabi (US) Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus. Perks/Benefits:- Competitive compensation and equity awards.- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).- Unlimited Vacation.- Flexible hours and Work from Home support.- Daily drinks, snacks and catered meals (when in office).- Regularly scheduled team building activities and social events both on-site, off-site & virtually.- As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionAbout us Encord is the universal data layer for AI that helps 300+ AI teams train and run models on the right data. Our platform indexes, curates, annotates, and evaluates data across the full AI lifecycle, from development through production. Trusted by Woven by Toyota, AXA, UiPath, Zipline, and more. We're an ambitious team of 100+ working at the frontier of AI and have raised $60M in Series C funding from Wellington Management, CRV, Next47 and Y Combinator. The role As a Human Data Operations Strategist, you will play a critical role in managing and optimising data annotation and machine learning workflows for our clients. You will work closely with cross-functional teams, including clients, annotation specialists, and machine learning engineers, to ensure high-quality data is available for AI models.What you'll do • Oversee data annotation projects, translating complex AI and machine learning requirements into clear workflows and instructions for data annotation teams, • Ensure the highest standards of data quality by designing and refining annotation processes, auditing results, and implementing feedback loops, • Act as a trusted advisor to clients, helping them design and implement the best data annotation workflow for their human annotation process, • Provide guidance and feedback to the annotation team, ensuring team members are equipped with the context and skills needed to perform high-quality work aligned with project requirements and best practices, • Work closely with product and engineering teams to drive improvements in AI training data processes, tools, and methodologiesWho we're looking for, • A sharp, execution-oriented operator with a consulting or AI company pedigree — you bring structured thinking, strong project management instincts, and a bias for getting things done, • Analytically rigorous and comfortable with ambiguity — you break down complex operational challenges from first principles and build clear, actionable plans to solve them, • Technically fluent enough to get hands-on with data — whether that's querying a database, auditing annotation outputs, or automating a workflow in Python, • Passionate about AI and machine learning, with genuine curiosity about how data quality and operations underpin model performance, • A natural communicator who can translate fluidly between ML engineers and non-technical clients, keeping complex multi-stakeholder projects on track, • Entrepreneurial and collaborative — you thrive in fast-paced environments and take ownership without waiting to be told what to doExperience requirements, • 3–7 years of professional experience, with a strong preference for backgrounds in top-tier strategy consulting and/or operations or data roles at leading AI or technology companies, • Proven ability to own complex, multi-stakeholder workflows end-to-end — from scoping and planning through execution, quality assurance, and iteration, • Working proficiency in Python or SQL, with the ability to query data, automate workflows, or audit annotation outputs; broader familiarity with relational databases or data annotation tooling equally valued, • Experience designing or optimising data operations processes with a strong eye for quality, consistency, and scalability — ideally in a context involving human-in-the-loop workflows or structured labelling tasks, • Demonstrated ability to engage effectively with both technical stakeholders (ML engineers, data scientists) and non-technical clients, translating requirements clearly in both directions, • Bonus: hands-on experience with computer vision, generative AI, or multimodal data workflows; prior exposure to data annotation platforms or quality management frameworks; experience coaching or managing operational teamsWhy Encord, • Competitive salary, commission, and meaningful equity in a high-growth start-up, • Clear, accelerated growth opportunities as the company scales rapidly, • Strong in-person culture: 3–5 days/week in our newly launched North Beach loft office, • Flexible PTO to fully recharge, • 18 paid vacation days in the U.S. plus federal holidays, • Annual learning & development budget, • Comprehensive health, dental, and vision coverage, • Frequent travel opportunities across the U.S., London, and Europe

Job DescriptionWaabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: As a Senior/Staff Software Engineer embedded within our Autonomy & Algorithms team, you will build the scalable ML data pipelines necessary to train and evaluate Waabi’s autonomous driving platform. Working closely with world-renowned scientists and engineers, you will solve complex data challenges to accelerate our launch of fully driverless vehicles. You Will.. • Design and implement data pipelines using real-world driving data and Waabi World (our high-fidelity simulator) to train and evaluate deep learning models., • Optimize data formats, caching, and dataloading to drive highly efficient ML training and evaluation at scale., • Improve data sampling and composition for deep data introspection to track model performance and uncover critical edge-case scenarios., • Champion engineering excellence by writing high-quality, well-structured, and rigorously tested code., • Help drive project roadmap planning, prioritization, and delivery. Qualifications: • BS or MS in Computer Science, Machine Learning, or a related technical field, with 4+ years of industry experience., • Proficiency in Python and strong software engineering fundamentals, including experience with deep learning frameworks such as PyTorch, TensorFlow, or JAX., • Hands-on experience building distributed ETL and data processing pipelines., • Direct experience managing ML pipelines, including dataset management, dataloading, and optimization., • Strong understanding of cloud job orchestration, monitoring, and instrumentation best practices., • A collaborative, open-minded approach with a passion for tackling hard problems in autonomous technology and a strong willingness to mentor others. Bonus Points: • Experience with optimizing large scale distributed training pipelines and/or highly optimized ML inference pipelines., • Experience with MapReduce (Apache Hadoop/Spark) or orchestration frameworks (Apache Airflow, Apache Beam, Google Cloud Dataflow, AWS Step Functions)., • Experience solving data challenges specific to autonomous driving., • Familiarity with linear algebra (projections, transforms) and 3D geometry., • Experience working with multimodal sensor data (e.g., LiDAR, RADAR, camera). The US yearly salary range for this role is: $148,000 - $260,000 USD in addition to competitive perks & benefits. Waabi (US) Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus. Perks/Benefits:- Competitive compensation and equity awards.- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).- Unlimited Vacation.- Flexible hours and Work from Home support.- Daily drinks, snacks and catered meals (when in office).- Regularly scheduled team building activities and social events both on-site, off-site & virtually.- As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Enterprise Account Director- West Coast Remote [within the US] ABOUT THE ROLE: We are seeking a highly motivated and experienced Enterprise Account Director to join our dynamic team. As a pivotal member of our sales force, you will be responsible for driving revenue growth through strategic sales initiatives focused on our security for AI products and services. You will collaborate closely with cross-functional teams including marketing, product development, and customer success to ensure the delivery of comprehensive solutions that meet and exceed customer expectations. WHO WE ARE: HiddenLayer protects the world's most valuable technologies from adversarial AI attacks. We were founded by AI professionals and security specialists with first-hand experience of how insidious adversarial AI attacks can be to detect and defend against. Determined to prove that these attacks were preventable, the team developed a unique, patent-pending, productized solution to support organizations in accelerating their adoption of AI securely. Our dedication to innovation has been recognized by prestigious awards such as RSA's Innovation Sandbox Winner, CB Insights AI 100, CyberTech 100, and SC's Most Promising Early-Stage Start-up. WHAT YOU'LL DO: • Develop and execute a strategic sales plan to achieve sales targets and expand the customer base within the security for AI market segment., • Build strong, long-lasting relationships with key stakeholders, including C-level executives and decision-makers, to understand their business needs and position our solutions effectively., • Lead complex negotiations and contract discussions, ensuring favorable terms that align with company objectives and customer requirements., • Collaborate with internal teams to develop customized proposals, presentations, and demonstrations that showcase the value proposition of our security for AI solutions., • Track and report on sales performance metrics, forecasting accuracy, and pipeline management using CRM tools to drive informed business decisions., • Bachelor's degree in Business Administration, Marketing, Computer Science, or a related field; MBA preferred., • Proven track record of success in enterprise sales within the cybersecurity or AI technology industry, with a minimum of 7 years of experience., • Deep understanding of AI security concepts, including machine learning, threat detection, anomaly detection, and data protection., • Strong business acumen and strategic thinking skills, with the ability to translate complex technical solutions into tangible business benefits for customers., • Excellent communication, presentation, and negotiation skills, with the ability to influence and persuade at all levels of an organization., • Self-motivated and results-oriented, with a demonstrated ability to work independently and as part of a team in a fast-paced, entrepreneurial environment. We're moving at (what feels like) the speed of light. HiddenLayer is a venture-backed company and recently closed a $50M funding round led by M12, Microsoft's Venture Fund, and Moore Strategic Ventures. Attracting and retaining the very best people is our #1 priority. That's why we offer our team best-in-class benefits, including: • Fully Remote: We are a completely remote global team. Though we're distributed, we are intentional about getting the team together a couple of times a year. We offer a generous stipend for your home office setup, annual upgrades to ensure you have a comfortable workspace and a monthly stipend for internet/phone expenses., • Comprehensive Health & Wellness Benefits: Better than your average startup healthcare benefits. With five options to choose from, of which are fully subsidized by HiddenLayer, we offer a variety of options to fit each person's needs. We also offer vision, dental, and 401k offerings., • Flexible Time Off: Enjoy unlimited and flexible time off for all salaried employees, in addition to 15 paid company holidays., • Commitment to Learning and Development: We support personal growth and education through a dedicated L&D fund that can be used for training, conferences, certifications and industry events. HiddenLayer is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, race, color, religion, national origin, age, marital status, political affiliation, sexual orientation, gender identity, genetic information, disability or protected veteran status. We are committed to providing a workplace free of any discrimination or harassment.

Job Description Kodiak Robotics, Inc. was founded in 2018 and has become a leader in autonomous ground transportation committed to a safer and more efficient future for all. The company has developed an artificial intelligence (AI) powered technology stack purpose-built for commercial trucking and the public sector. The company delivers freight daily for its customers across the southern United States using its autonomous technology. In 2024, Kodiak became the first known company to publicly announce delivering a driverless semi-truck to a customer. Kodiak is also leveraging its commercial self-driving software to develop, test and deploy autonomous capabilities for the U.S. Department of Defense. We are looking for an Autonomy Software Systems Engineer who can derive requirements from first-principles for safe driving behavior for a self-driving vehicle. An ideal candidate will have background developing algorithms commonly used in autonomy or robotics applications in aerospace, automotive, or other domains. This will be used to support our safety claims about safe perception, motion planning, and control for autonomous robots so that we can ethically and safely deploy autonomous trucks to save lives and transform the freight industry. In this role, you will: • Collaborate closely with Autonomy Software teams by using first-principles analysis to develop requirements for safe perception, localization, prediction, motion planning, and/or control algorithms., • Identify edge cases that could help us expose weaknesses in our system prior to encountering them in on-road environments., • Provide analysis to support complex autonomy system design trade-offs to inform system design decisions affecting safety and performance., • Deep understanding of kinematics, dynamics, and system modeling, • Strong programming skills in Python, MATLAB, C++, or C, • Hands-on work across multiple of the following areas:, • Sensor fusion and object tracking (e.g., Kalman filtering, particle filters, least squares estimation), • Machine learning methods (e.g., neural networks, SVMs, kNN, regression models, decision trees), • Classical computer vision (e.g., edge/corner detection, camera calibration, optics), • Motion planning (e.g., A*, RRT, potential fields), • Control systems (e.g., PID, nonlinear control, model predictive control), • Strong foundation in probability and statistics, including appropriate application of distributions (e.g., Gaussian, Poisson, binomial), • Working knowledge of autonomy system architectures and system-level design, • Background in one or more of the following:, • Bayesian inference (e.g., beta and gamma distributions), • Markov models and probabilistic system modeling, • Simulation development and validation environments, • System reliability analysis, • Exposure to safety-critical standards such as ISO 26262, DO-178, or IEC 61508 (e.g., ASIL-D, DAL A, SIL 4), • Experience with safety analysis methodologies (e.g., FTA, FMEA, HARA), • Understanding of redundancy strategies and fault-tolerant system design, • Familiarity with SOTIF, UL 4600, and safety case development (e.g., Goal Structuring Notation), • Knowledge of real-time, safety-critical systems, • Competitive compensation package including equity and annual bonuses, • Excellent Medical, Dental, and Vision plans through Kaiser Permanente, Cigna, and MetLife (including a medical plan with infertility benefits), • MetLife Legal Services, Identity & Fraud Protection, Hospital Indemnity Insurance, Accident Insurance, & Critical Illness Insurance, • Flexible PTO, 10 paid holidays, and generous parental leave policies, • Our office is centrally located in Mountain View, CA, • Office perks: dog-friendly, free catered lunch, a fully stocked kitchen, and free EV charging, • Long Term Disability, Short Term Disability, Life Insurance, • Wellbeing Benefits - Headspace through Cigna, Calm through Kaiser, One Medical, Gympass, Spring Health through Cigna, Rula (mental health navigation), • Fidelity 401(k), • Commuter, FSA, Dependent Care FSA, HSA

Job Description About Paradromics Brain-related illness is one of the last great frontiers in medicine, not because the brain is unknowable, but because it has been inaccessible. Paradromics is building a brain-computer interface (BCI) platform that records brain activity at the highest possible resolution: the individual neuron. AI algorithms then decode this massive amount of brain-data, enabling the seamless translation of thought into treatments. Our first clinical application, the Connexus® BCI, will help people who are unable to speak, due to ALS, spinal cord injuries, and stroke, to communicate independently through digital devices. However, the capabilities of our BCI platform go far beyond our first application. With the brain in direct communication with digital devices, we can leverage technology to transform how we treat conditions ranging from sensory and motor deficits to untreatable mental illness. The Role As a Software Engineer at Paradromics, you’ll work closely with our team of Scientists and Engineers to develop software that enables our clinical applications. You will help design software to restore communication ability for our BCI users, enabling successful clinical studies of the Connexus System. Responsibilities • Develop data curation strategies for user interaction and BCI data, • Realize BCI decoding algorithms as performant software, • Evaluate software with simulated and real neural data, as well as with our BCI hardware in the loop, • Participate in code reviews and contribute to the development of new features and tools, • Work closely with our engineering, neuroscience, and quality teams to identify and capture needs and requirements, • Regularly travel between our Austin and Oakland offices Required Education • Bachelor's degree in Computer Science, Computer Engineering, or a related field; or equivalent real world experience, • 3+ years of professional experience relevant to this role Required Qualifications • Highly proficient in Python, • Experience with Rust, C++, or Go, • Familiarity with machine learning concepts and experience collaborating with machine learning practitioners, • Demonstrated prior professional experience with multiple programming languages Preferred Qualifications • Working knowledge of operating systems concepts and performant software, • Familiarity with signal processing / time series data processing concepts and algorithms. Salary: $120,000-150,000 base Powered by JazzHR r7CgYCDBNk

Job DescriptionAbout the Company: Octave is a modern behavioral health practice creating a new standard for care delivery that's both high-quality and accessible. With in-person and virtual clinics in multiple states, the company offers evidence-based individual, couples, and family therapy, while pioneering relationships with payers to make care more affordable through insurance. By raising the bar on how care is delivered and how providers are supported, we are building a sustainable system that values equity, affordability, and effectiveness. About the Role: We're looking for a Sr. Data Engineer with strong data platform experience to help evolve our modern data stack and contribute to the foundation of our emerging AI and ML platform. This role sits at the intersection of data engineering, platform architecture and machine learning enablement and will bring high-quality, scalable, and ethical AI into real-world use. You will partner closely with data scientists, analysts, and product managers to ensure our platform supports reliable data pipelines, scalable analytics, and production ready machine learning systems in addition to defining new architecture, best practices, and patterns for fellow engineers to inherit. The ideal candidate is both a systems thinker and a hands-on builder who thrives in evolving environments and is passionate about creating reliable data infrastructure that enables peers and partner teams to move faster with data. Responsibilities Include: • Design, build, and maintain scalable systems for ingestion, transformation, and storage of data, with a focus on testing and observability., • Implement frameworks, tooling, and automation to safely increase development velocity., • Develop foundational end-to-end AI/ML workflows from (1) source ingestion and preparation, (2) training and tuning, (3) experimentation and productionization, and (4) downstream systems integration (EHR modules, micro-services, dashboards)., • Support iterative model development and production operations and observability (accuracy, drift, bias, fairness, reproducibility)., • Contribute to a culture of continuous improvement, knowledge-sharing and mentoring of peer engineers.Preferred Qualifications:, • Bachelor's degree (or equivalent) in Computer Science, Data Science, Statistics, Engineering or a related field., • 5+ years of experience in data engineering, platform engineering, or ML engineering., • Experience working with major cloud data platforms and tools:, • Preferred experience:, • Healthcare, behavioral health, EHR systems, and/or regulated industries., • Specific expertise with: AWS/GCP, dbt, AirflowAirbyte, Redshift/BigQuery., • Proficiency in SQL and Python with strong familiarity towards modern data engineering frameworks, infrastructure, and tooling., • Proficiency with data ops best practices, monitoring, pipeline automation, and CI/CD., • Knowledge of modern compute and ML frameworks/libraries (i.e., Spark, TensorFlow, PyTorch, scikit-learn)., • Ability to build production APIs and services, inclusive of MCP servers that expose internal data/services to LLMs., • We're human beings first. We operate with empathy and kindness – with our clients, with our collaborators, and with ourselves., • People deserve better than status quo. We're willing to tackle the intractable problems, no matter how big, because someone should. We ask big questions, we craft big solutions, and we challenge ourselves and others to make it happen., • No bystanders. No stars. No tourists. Each person has been selected to be here, and with that comes a responsibility to bring your expertise, share your ideas, and help make this company better., • Partnership paves the path ahead. We don't operate in a silo, internally or externally. To transform the system, we believe in working with others to create something bigger, better, and stronger., • Quality is crucial at scale. Quality is core to our business, and we refuse to sacrifice it as we grow., • Progress is a process. In the pursuit of progress, we iterate, reflect, learn, adjust – and always leave things better than we found them., • There are people behind every data point. We recognize that numbers tell only one part of the story, and we also do the work to understand impacts at the individual level.Physical Requirements:, • Prolonged periods sitting at a desk and working on a computer., • Must be able to frequently communicate with others through virtual meeting applications such as Zoom and Google Meet., • Must be able to observe and communicate information on company provided laptop., • Move up to 10 pounds on occasion. Octave will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with Octave's legal duty to furnish information. Starting pay for qualified applicants will depend on a combination of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected salary range for this role is set forth below and this range may be modified in the future. The salary range for Geo 1 (all states, excluding those in Geo 2 or Geo 3, and D.C.) is $142,600 - $153,100. The salary range for Geo 2 (CO, HI, MD, RI) is $156,900 - $168,400. The salary range for Geo 3 (AK, CA, CT, MA, NJ, NY, WA) is $164,000 - $176,000. All Geos are eligible for equity in the form of stock options. Additionally, this position is eligible for the following benefits: company sponsored life insurance, disability and AD&D plans. Voluntary benefits such as 401k retirement, medical, dental, vision, FSA, HSA, dependent care and commuter/parking options are also available. Octave offers generous Paid Time Off as well as paid parental leave benefits. This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice. How We Use Technology in Hiring: As part of our hiring process, we may use technology tools, including AI-supported systems, to assist with reviewing applications or documenting interviews. These tools are designed to support our team, not replace human judgment, and final hiring decisions are always made by our team. This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice. Application Instructions: Please complete the following application. Please note that the U.S. Equal Opportunity Employment Information questions below are used for the purposes of EEOC reporting and are optional to complete. Octave is unable to change these questions and we acknowledge that many of the U.S. Equal Opportunity Employment Information questions are not inclusive or affirming of all aspects of cultural identity. Octave is committed to an inclusive workplace environment, and this information will not inform how we approach hiring or employment.

Job DescriptionWHO WE ARE Consumer Reports is an independent, nonprofit organization dedicated to a fair and just marketplace for all. CR is known for our rigorous testing and trusted ratings on thousands of products and services. We report extensively on consumer trends and challenges, and survey millions of people in the U.S. each year. We leverage our evidence-based approach to advocate for consumer rights, working with policymakers and companies to find solutions for safer products and fair practices. Our mission starts with you. We offer medical benefits that start on your first day as a CR employee that include behavioral health coverage, family planning and a generous 401K match. Learn more about how CR advocates on behalf of our employees. OVERVIEW We're hiring a Senior Full-Stack Engineer to turn our AI and machine learning capabilities into real products used by millions of consumers and internal teams. This is a product engineering role,not model training. You'll focus on delivering AI through scalable, intuitive applications. You'll report to the Associate Director, AI/ML & Data Science and work closely with AI/ML engineers and data scientists to bring models, APIs, and data pipelines into production-ready experiences. You'll own the full stack, from frontend to backend to cloud—ensuring performance, reliability, and usability at every layer. You'll also partner with product and design to create AI experiences that are clear, trustworthy, and impactful. If you enjoy turning complex technology into products people actually use, this is your role. This is a hybrid position; it is not eligible for sponsorship or relocation assistance. How You'll Make An Impact You'll help power a multi-year AI strategy focused on consumer value, employee tools, and responsible AI. In this role, you will: • Build full-stack applications, data APIs, and AI-powered dashboards, • Develop backend services (Python: FastAPI/Django, Node.js), • Integrate with Databricks and AWS SageMaker, • Create responsive frontends (React, Next.js, TailwindCSS), • Deploy cloud-native apps (AWS, GCP, or Azure), • Connect RAG pipelines, vector databases, and model endpoints, • Implement authentication, data access, and API management, • Build CI/CD pipelines, testing, and performance optimization You'll Be Highly Rated If: • You have the experience. 5+ years building production full-stack applications with Python, JavaScript, and SQL/NoSQL systems., • You've earned the degree. Bachelor's in Computer Science, Engineering, or a related field., • You've integrated software with AI/ML services, data APIs, or model endpoints — as a consumer of those services., • You love turning complex AI models into products people actually use., • You move fluently across frontend, backend, and cloud. At Consumer Reports, we are committed to fair, transparent pay and we strive to provide competitive, market-informed compensation.The target salary range for this position is $100K-$140K. It is anticipated that most qualified candidates will fall near the middle of this range. Compensation for the successful candidate will be informed by the candidate's particular combination of knowledge, skills, competencies, and experience. We have three locations: Yonkers, NY, Washington, DC and Colchester, CT. We are registered to do business in and can only hire from the following states and federal district: Arizona, California, Connecticut, Illinois, Maryland, Massachusetts, Michigan, New Hampshire, New Jersey, New York, Texas, Vermont, Virginia and Washington, DC. Salary ranges • NY/California: $120K-$140K annually, • DMV/Massachusetts: $115K-$135K annually, • Colchester, CT and additional approved CR locations: $100K-$120K annually Consumer Reports is an equal opportunity employer and does not discriminate in employment on the basis of actual or perceived race, color, creed, religion, age, national origin, ancestry, citizenship status, sex or gender (including pregnancy, childbirth, related medical conditions or lactation), gender identity and expression (including transgender status), sexual orientation, marital status, military service or veteran status, protected medical condition as defined by applicable state or local law, disability, genetic information, or any other basis protected by applicable federal, state or local laws. Consumer Reports will provide you with any reasonable assistance or accommodation for any part of the application and hiring process.

Job Description Orchard Robotics is a Series A startup backed by top VCs like Quiet Capital, Shine Capital, and General Catalyst. We're securing America’s food supply by building the AI farmer that automates our nation’s farms. We've raised over $25M in pursuit of our mission to help farmers farm more profitably and sustainably than ever before. What We Do: We start by building AI-powered camera systems that collect the most valuable data for farmers, telling them everything about what is growing on their millions of trees, vines, and plants, across thousands of acres of farmland. Our state-of-the-art AI analyzes every one of the billions of fruit across a farm. We provide accurate yield estimates, fruit counts, size projections, disease detection, inventories, bloom maps, and more! All this data lives in our cloud platform, FruitScope OS, that we've developed from the ground up to enable farmers to manage their crop with precision. Today, our technology is trusted by some of the largest farms in the nation. We are growing fast, and have the industry-leading product. Farmers use our software every day to make critical decisions and run more efficient, profitable operations. The Role: In order to analyze billions of fruit on farms all year long, our advanced, tractor-mounted camera systems have to know a.) precisely where they are, and b.) everything about the fruit they are seeing. We are looking for a Machine Learning Engineer to build creative, practical, and robust solutions to ML/CV software and infrastructure problems, relating to training edge ML models on massive amounts of real-world farm image data collected by our camera systems. About the role: * Full-time, in-person role at our San Francisco or Seattle office. * As an early engineer, you'll receive generous equity compensation * Comprehensive Health, Vision, and Dental coverage, and we cover 100% of the premium * We move fast, and sometimes this means staying late or working weekends * Our team is close-knit & highly driven, you’ll work directly with our CEO and entire team * We’re deeply motivated by the impact we’re making – every line of code written or new system built means less food that goes to waste, and more people who are fed. What you’ll do: * Build and maintain scalable ETL pipelines for processing large, diverse image datasets collected from our tractor-mounted camera systems in farms. * Develop and deploy infrastructure for model training, evaluation, and inference, both in the cloud and on edge devices. * Design and implement intelligent active sampling infrastructure to optimize data collection and improve model performance. * Stay up-to-date with current literature in computer vision models and architectures, and apply relevant advancements to our systems. * Collaborate with a multidisciplinary team to integrate ML solutions into production robotics systems. * Work closely with agronomists and farmers to understand crop biology and translate domain knowledge into actionable ML features. * Be a generalist, supporting different parts of our software stack as needed. What makes you a good fit: * 2+ years of real-world, industry experience building production-grade data pipelines and ML infrastructure. * Proficiency in Python and experience with ML frameworks (e.g., PyTorch). * Strong experience with data engineering tools (e.g., Pandas, SQL, MLFlow, WandB). * Familiarity with cloud platforms (AWS, GCP) and containerization (Docker, Kubernetes). * Experience working with massive amounts of real-world training data. * Familiarity with MLops software and data engineering to ensure consistent deployment of ML models. * Ability to work independently, learn quickly, and operate in a dynamic environment * Enthusiasm for taking on multiple roles and responsibilities as our company grows. Bonus Points: * Experience deploying & optimizing ML models to run fast on embedded compute like NVIDIA Jetson * Experience prototyping, evaluating, or deploying new ML/CV models on the edge. If you're looking to help make a positive impact in the world by building the future of farming, come join us! Compensation Range: $135K - $210K

Job Description Mission Summary: At Motional, we're transforming how autonomous vehicles discover critical intelligence hidden within petabytes of multimodal sensor data. Our next-generation autonomous driving stack depends on finding the rare edge cases, long-tail scenarios, and model errors that matter most. Omnitag, our ML-powered multimodal data mining framework, is the engine that powers this discovery. As a Machine Learning Engineer on the Data Mining team, your mission is to help build the "Brain" of this engine. You will work with state-of-the-art foundation models to extract insights from Motional's driving data, working at the intersection of large-scale representation learning and data retrieval. By building smarter mining tools and efficient data pipelines, you will accelerate the model improvement lifecycle for teams working on post-training analysis, error diagnosis, and dataset curation. What You'll Do: • Build and Train ML Pipelines: Develop, train, and fine-tune machine learning models for multimodal sensor data (e.g., vision, LiDAR). Focus on implementing supervised and self-supervised learning approaches to improve data search and retrieval., • Support Model Deployment: Implement scalable data preprocessing and augmentation pipelines. Assist in applying standard optimization techniques (e.g., batch inference, quantization) to ensure models run efficiently in production environments., • Data Mining & Analysis: Help develop embedding-based search tools and "active learning" workflows to identify critical driving scenarios., • Monitor Production Performance: Help build and maintain dashboards to monitor model health, data drift, and system performance. Identify regressions and assist in the operational support of our data mining services., • Learn and Apply Best Practices: Follow software engineering standards (version control, CI/CD, unit testing) for ML code. Participate in code reviews and contribute to technical documentation., • Collaborate Across Teams: Work closely with senior engineers and machine learning engineers to translate model prototypes into maintainable, scalable engineering solutions. What We're Looking For (Must-Haves): • BS or MS in Computer Science, Machine Learning, or a related field., • Hands-on experience with PyTorch (preferred) or TensorFlow/JAX. You should be comfortable training models and evaluating them using standard metrics., • Strong proficiency in Python with the ability to write clean, modular, and well-documented code., • Working knowledge of version control, unit testing, and basic software design patterns., • Experience working with large datasets, including proficiency in SQL and data libraries like Pandas and NumPy., • A solid grasp of the full ML lifecycle, from data cleaning and feature engineering to validation and deployment basics., • A proactive learner who thrives on constructive feedback and is eager to grow within a high-stakes engineering environment. Bonus Points (Nice-to-Haves): • MS/PhD in Computer Science, Machine Learning, or related field., • Experience with agentic systems, autonomous reasoning, chain-of-thought models, or LLM-based planning., • Background in autonomous driving, robotics, or real-time decision-making systems., • Familiarity with multimodal learning, sensor fusion, or embodied AI., • Experience building active learning loops, using the model to find the data that breaks the model., • Experience with ML-based data mining, active learning, or contrastive learning., • Knowledge of model serving tools (TF Serving, Triton, TorchServe) and MLOps platforms., • Publication in top-tier conferences (e.g., ICCV, CVPR, ECCV) We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote. The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. Candidates for certain positions are eligible to participate in Motional's benefits program. Motional's benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more. Salary Range$144,000—$192,000 USD Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more. Our journey is always people first. We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move. Higher purpose, greater impact. We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do. Scale up, not starting up. Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges. Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit and follow us on Twitter, LinkedIn, Instagram and YouTube. Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.

Job DescriptionAbout Lumafield: Founded in 2019, Lumafield has developed the world's first accessible X-Ray CT scanner for engineers. Our easy-to-use scanner and cloud-based software give engineers the ability to see their work clearly, inside and out, at an extremely affordable price. Engineers make million-dollar decisions every day, and they need tools that give them the greatest possible insight into their products. By offering unprecedented visibility into products, as well as AI-driven tools that highlight problems and generate quantitative data, Lumafield promises to revolutionize the way complex products are created, manufactured, and used across industries. We are an impact driven company obsessed with providing the best value to our customers keeping their needs at the center of our evolution. Our team today includes world-class researchers and industrial designers, PhDs, creators, founders of successful startups, and zero egos. We are backed by top venture capital funds like Kleiner Perkins, Lux Capital, DCVC, Spark Capital, and others. The company is headquartered in Cambridge, MA and has an office in San Francisco, CA. About the role: As a Senior Systems Software Engineer at Lumafield, you will work on the software that powers our next-generation, manufacturing in-line CT scanning products. You’ll work on the bleeding edge of X-ray physics, high-speed detectors, image processing, and embedded systems. On a small team working on our newest hardware, you’ll bring the skill to extract the maximum performance out of the system and achieve great outcomes for our customers. This role is ideal for candidates who are looking for an opportunity to own the embedded system, firmware and software design on an early-stage new product. This role is located in Lumafield’s San Francisco, CA office. You may be required to travel occasionally to Lumafield’s Cambridge, MA office.What You'll Do: • Direct the architectural design, software development, integration, and initial setup of our cutting-edge in-line manufacturing products Write performance-critical edge software to acquire, process, and stream data with real-time processing deadlines * Ship production critical Linux-based applications * Collaborate closely with our product, research, hardware, and software development teams to understand requirements and architect solutions About You: • 3+ years of experience writing low-level, performance-critical image processing software in C, C++, or Rust 3+ years of experience developing software for embedded Linux in C, C++, or Rust * Experience building & shipping high performance hardware-accelerated image processing edge solutions using NVIDIA CUDA and/or Jetson platform * Familiarity with Python for scripting, testing and automation * Basic familiarity with electrical engineering concepts including schematic layout, PCBA design, bring-up, testing * Able to design, integrate, and test systems by interpreting component and product datasheets. * Bachelor's degree in Engineering or related field Bonus Points For: • Experience with classical computer vision techniques and machine learning CV algorithms Experience with managing the software release lifecycle of a fleet of edge devices * Experience with with CameraLink, GigE Vision, or X-ray image acquisition The salary range listed here represents the anticipated low and high ends of the base salary. Actual salaries may vary and may be above or below the range based on various factors, including but not limited to work location, experience, and performance. All full-time employees receive an equity grant.We are unable to sponsor or take over sponsorship of employment visas at this time. All applicants must be legally authorized to work in the United States without current or future sponsorship. Lumafield offers both competitive cash and equity compensation, as well as a health & wellness stipend, 401k, parental leave, flexible PTO, commuter benefits, company wide events and more! Lumafield is committed to building a team that represents a variety of backgrounds, perspectives, and skills, because the more inclusive we are, the better our work will be. Do you feel like your skills don’t meet every single requirement listed? We encourage you to apply anyway – If you’re excited about our technology, the opportunity, and are eager to learn more we’d love to hear from you! In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital domestic partner status, sexual orientation, gender identity, disability, genetic information or veteran status. Reach out if you want to be a part of what we are building. San Francisco Applicants: Review the San Francisco Fair Chance Ordinance guidelines applicable in your area. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionWaabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: The Evaluation Algorithms team is responsible for building the algorithms & tooling required to comprehensively evaluate our autonomy system’s performance across all development stages. In this role, you will work closely with the systems & safety teams, responsible for defining the requirements & evaluation criteria, and simulation teams to leverage Waabi World, our highly realistic closed-loop simulation engine built with the latest in generative AI technologies to deliver the evaluation capabilities needed to support the safe development of the next generation of autonomous vehicles! You will… • Develop the tooling, infrastructure, and pipelines to support complex statistical analyses of driving performance scale., • Implement metrics and tags to provide a holistic understanding of model performance and enable the discovery of interesting scenarios for training and evaluation., • Develop and maintain a high availability query service to enable low-latency analysis and curation over large volumes of metric and tag data, • Work with large datasets from various sources including real world driving as well as Waabi World, our high-fidelity simulator., • Champion engineering excellence, ensuring high-quality, well structured and tested code., • Assist in project roadmap planning, prioritisation, and delivery. Qualifications: • MS/Bachelors degree with 2+ years of industry experience in Computer Science, Machine Learning and/or similar technical field(s) of study., • Proficient in Python programming and strong software engineering fundamentals with real-world experience writing high quality, well-structured, and well-tested code., • Open-minded and collaborative team player with the willingness to help others., • Passionate about self-driving technologies, solving hard problems, and creating innovative solutions. Bonus Points: • Experience in data processing pipelines, ETL pipelines, distributed computing., • Experience in building highly reliable and scalable web services, • Understanding of cloud job orchestration, monitoring, and instrumentation best-practices., • Experience in evaluating complex ML models or self-driving software stacks. The US yearly salary range for this role is: $127,000 - $223,000 USD in addition to competitive perks & benefits. Waabi (US) Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus. Perks/Benefits:- Competitive compensation and equity awards.- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).- Unlimited Vacation.- Flexible hours and Work from Home support.- Daily drinks, snacks and catered meals (when in office).- Regularly scheduled team building activities and social events both on-site, off-site & virtually.- As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description #TeamNextdoor Nextdoor (NYSE: NXDR) is the essential neighborhood network. Neighbors, public agencies, and businesses use Nextdoor to connect around local information that matters in more than 340,000 neighborhoods across 11 countries. Nextdoor builds innovative technology to foster local community, share important news, and create neighborhood connections at scale. Download the app and join the neighborhood at nextdoor.com. Meet Your Future Neighbors The Fraud Prevention organization at Nextdoor is dedicated to protecting neighbors from harmful content, fraud, and abuse, and ensuring that neighbors can safely build and participate in local communities on our platform. The team - which consists of Product, Engineering, Design, and Neighborhood Operations (NOPS) - helps develop policies, build detection systems, and deliver moderation tools at scale to keep our platform safe. We are seeking a Senior Data Scientist, Fraud Prevention, to help protect our users, platform integrity, and community experience by developing strong data foundations, robust metrics and measurement frameworks, and advanced analytics and modeling that improve harm prevention and detection and moderation effectiveness. In essence, this role is integral to high-impact, cross-functional initiatives that help inform and shape our strategy and execution. At Nextdoor, we offer a warm and inclusive work environment that embraces a hybrid employment experience, providing a flexible experience for our valued employees.The hiring team will go over these expectations with you if you are being considered for a role near one of our offices in San Francisco, Los Angeles, Chicago, Dallas, New York, and London. The Impact You'll Make Design and Lead Key Analyses and Metric Evolution • Analyze large, complex datasets to identify abuse patterns, fraud signals, and harmful behavior trends., • Conduct root cause analysis to diagnose safety incidents and emerging risks., • Evaluate new tool effectiveness (including AI), and impact on agent efficiency and user satisfaction., • Define and track core metrics (e.g., harm prevalence, violation rates, detection accuracy)., • Navigate the tradeoff between operational efficiency, safety, and user growth/experience., • Develop heuristics, statistical models, and machine learning solutions for proactive detection of abuse, fraud, or harmful content, • Build prediction systems (e.g., anomaly detection, risk scoring, behavioral profiling)., • Improve automated enforcement and moderation workflows., • Design and analyze experiments (A/B tests, causal inference) to measure safety feature impact (e.g., login & verification, AI moderation support). Clearly communicate findings to technical and non‑technical stakeholders., • Partner with Product, Engineering, Operations, Policy, and Legal teams to define safety strategy., • Influence decision-making through data storytelling and insights., • Bachelor's or Master's degree in Statistics, Computer Science, Mathematics, Economics, or a related quantitative field., • 5+ years of Data Science experience working with large-scale data and statistical analysis, including 1+ year of data science experience in fraud prevention, moderation, or risk., • Strong analytical and problem‑solving skills, with a track record to lead projects from concept to impact., • Proficiency in SQL and at least one scripting language (e.g., Python or R)., • Expertise in experimentation and causal inference (A/B testing, cohort analysis, pre/post analysis) to evaluate product or policy changes in production environments., • Hands-on experience with standard Machine Learning and statistical methods (e.g., prediction, classification, anomaly detection, time series), ideally in risk or fraud prevention contexts., • Ability to collaborate cross‑functionally with Product, Engineering, Operations, and Legal/Policy partners; comfortable influencing without direct authority., • 2+ years of experience in fraud prevention, moderation, or risk in a social platform context., • Strong experience with anomaly detection and building/deploying machine learning models. Compensation, benefits, perks, and recognition programs at Nextdoor come together to create one overall rewards package. The starting base salary for this role for the San Francisco, CA area is expected to range from $175,000 to $234,000 on an annualized basis, or potentially greater in the event that your 'level' of proficiency exceeds the level expected for the role. The salary range will be determined by the candidate's geographic location. We also expect to award a meaningful equity grant for this role. With quarterly vesting, your first vest date would be within the first 3 months of your start date. Overall, total compensation will vary depending on your relevant skills, experience, and qualifications. We have you covered! Nextdoor employees can choose between a variety of great health plans. At Nextdoor, we empower our employees to build stronger local communities. To create a platform where all feel welcome, we want our workforce to reflect the diversity of the neighbors we serve. We encourage everyone interested in our mission to apply. We do not discriminate on the basis of race, gender, religion, sexual orientation, age, or any other trait that unfairly targets a group of people. In accordance with the San Francisco Fair Chance Ordinance, we always consider qualified applicants with arrest and conviction records. For information about our collection and use of applicants' personal information, please see Nextdoor's Personnel Privacy Notice, found here.

Job DescriptionDescription: About Veryon Veryon is the leading global provider of aviation software and information services, trusted by over 5000+ customers, 75,000 maintenance professionals, and 100+ OEMs across nearly 150 countries. Our mission is to deliver smarter, predictive technology solutions, including our AI platform, Veryon AIRE that maximizes aircraft uptime and operational efficiency for the world’s most demanding aviation organizations. At Veryon, we are an AI-forward company focused on driving innovation and efficiency through emerging technologies. We prioritize hiring individuals who embrace AI, think creatively about its application, and are excited to continuously evolve alongside it. About the Role Veryon is seeking a Senior Software Engineer (AI/ML) to lead the design, development, and scaling of intelligent systems that enhance aviation maintenance, diagnostics, and operational insights. This role focuses on advancing AI-driven capabilities across Veryon’s product suite, including NLP clustering, anomaly detection, and aircraft telemetry analysis. You will work at the intersection of machine learning, aviation data, and distributed systems—building production-grade AI solutions that combine generative AI, telemetry data, and domain expertise. As a senior engineer, you will also mentor team members, influence technical direction, and ensure best practices in building scalable AI systems. Key Responsibilities AI/ML Development & Innovation • Enhance NLP clustering algorithms using Generative AI (LLMs, embeddings, semantic clustering), • Design and implement text embedding pipelines for PDFs and maintenance logs, • Build statistical and ML models for pattern recognition and anomaly detection, • Correlate pilot and maintenance defect reports with aircraft sensor data, • Correlate defect data to find re-occurring problems and drive actionable prescriptive insights, • Support predictive maintenance and diagnostics model development Product Engineering & Scalability • Build and maintain Python-based AI systems supporting 1000+ concurrent users, • Develop scalable APIs and microservices for AI capabilities, • Ensure high performance, reliability, and observability of AI systems, • Collaborate with product and engineering teams to integrate AI features Leadership & Collaboration • Mentor junior engineers and contribute to technical leadership, • Drive best practices in code quality, testing, and deployment, • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field, • 5+ years of software engineering experience with strong AI/ML focus, • Advanced proficiency in Python and building production systems, • Experience with NLP, embeddings, and machine learning models, • Experience working with both structured and unstructured data, • Strong understanding of scalable systems and cloud environments, • Proven experience supporting high-concurrency applications, • Hands-on experience with Generative AI and LLMs, • Knowledge of aviation systems, telemetry, or maintenance workflows, • Experience with anomaly detection and statistical modeling, • Familiarity with MLOps (deployment, monitoring, model lifecycle), • Experience with vector databases and semantic search, • Background in processing technical documents (PDFs, logs), • Generative AI: Deep understanding of LLMs, embeddings, and agentic workflows, • NLP Expertise: Strong capabilities in clustering, semantic search, and text processing, • Machine Learning: Advanced understanding of model development and evaluation, • Anomaly Detection: Ability to identify patterns and outliers in complex datasets, • Data Fusion: Experience combining telemetry, logs, and documents into AI systems, • Fueled by Customers: Customers are at the core of every decision., • Win Together: Collaboration is our competitive edge., • Make It Happen: No excuses. Just outcomes., • Innovate to Elevate: We boldly challenge what’s standard and lift what’s possible.

Job DescriptionAbout Quizlet: At Quizlet, our mission is to help every learner achieve their outcomes in the most effective and delightful way. Our $1B+ learning platform serves tens of millions of students every month, including two-thirds of U.S. high schoolers and half of U.S. college students, powering over 2 billion learning interactions monthly. We blend cognitive science with machine learning to personalize and enhance the learning experience for students, professionals, and lifelong learners alike. We’re energized by the potential to power more learners through multiple approaches and various tools. Let’s Build the Future of LearningJoin us to design and deliver AI-powered learning tools that scale across the world and unlock human potential. About the Team: You will be joining a fast-moving and rapidly growing team dedicated to reimagining how students interact with Quizlet and its products. Our primary goal is to encourage users to return more frequently for longer study sessions, ultimately helping them achieve academic success. To meet these objectives, you'll collaborate closely with a cutting-edge engineering team that leverages the latest AI methodologies for Quizlet’s search and recommendations system. Our team is dynamic and agile, designed to quickly adapt to user feedback as we push forward with major product innovations. Together, we are committed to delivering a transformative learning experience for students everywhere. About the Role: As a key member of our team, you will design and refine the content system that powers recommendations, search, and engagement across Quizlet. You’ll work closely with product managers to ensure the content delivered to users aligns with their specific context, learning goals, and subject mastery. To achieve this, you’ll collaborate with machine learning engineers, data scientists, subject matter experts, and data engineers. We’re happy to share that this is an onsite position. To help foster team collaboration, we require that employees be in the office at a minimum of three days a week: Monday, Wednesday, and Thursday and as needed by your manager or the company. We believe that this working environment facilitates increased work efficiency, team partnership, and supports growth as an employee and organization.In this role, you will: • Develop and articulate a data-driven product strategy that ensures Quizlet leverages the latest advancements to support new use cases and serve our students effectively, • Partner with user research and design teams to conduct user interviews, synthesize insights, and inform the product roadmap. Work with the data science & analytics team to quantify user behavior & product gaps, • Break down large, ambiguous problem spaces, prioritize them, and focus the team on key hypotheses, • Work closely with cross-functional teams to define product requirements, prioritize features, and deliver high-quality, impactful study-enhancing features, • Collaborate with marketing and subscription teams to ensure features reach the right users at the optimal time in their learning journey, • Advocate for the role of user-centric design and UX in the overall Quizlet product roadmapWhat you bring to the table:, • 7+ years of product management experience with a focus on personalized recommendations, • Proven track record of building and testing delightful user experiences and delivering quantifiable results, • Enthusiasm for being involved in every step of the product development process, from understanding user needs to analyzing metrics and building roadmaps, • Ability to thrive in a fast-paced startup environment with imperfect information and limited resources, • Excitement about enhancing learning experiences for millions of students worldwide through innovative online study toolsBonus points if you have:, • You have experience working in EdTech or an educational background in learning science, • Moderate SQL experience: Able to self-serve on basic analysis and read SQL written by an analystCompensation, Benefits & Perks:, • Quizlet is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Salary transparency helps to mitigate unfair hiring practices when it comes to discrimination and pay gaps. Total compensation for this role is market competitive, including a starting base salary of $180,000 - $225,000, depending on location and experience, as well as company stock options, • Collaborate with your manager and team to create a healthy work-life balance, • 20 vacation days (and we expect you to take them!), • Competitive health, dental, and vision insurance (100% employee and 75% dependent PPO, HMO, VSP Choice), • Employer-sponsored 401k plan with company match, • Access to LinkedIn Learning and other resources to support professional growth, • Paid Family Leave, FSA, HSA, Commuter benefits, Wellness benefits We strive to make everyone feel comfortable and welcome!We work to create a holistic interview process, where both Quizlet and candidates have an opportunity to view what it would be like to work together, in exploring a mutually beneficial partnership. We provide a transparent setting that gives a comprehensive view of who we are! In Closing: At Quizlet, we’re excited about passionate people joining our team—even if you don’t check every box on the requirements list. We value unique perspectives and believe everyone has something meaningful to contribute. Our culture is all about taking initiative, learning through challenges, and striving for high-quality work while staying curious and open to new ideas. We believe in honest, respectful communication, thoughtful collaboration, and creating a supportive space where everyone can grow and succeed together.” Quizlet’s success as an online learning community depends on a strong commitment to diversity, equity, and inclusion. As an equal opportunity employer and a tech company committed to societal change, we welcome applicants from all backgrounds. Women, people of color, members of the LGBTQ+ community, individuals with disabilities, and veterans are strongly encouraged to apply. Come join us! To All Recruiters and Placement Agencies: At this time, Quizlet does not accept unsolicited agency resumes and/or profiles. Please do not forward unsolicited agency resumes to our website or to any Quizlet employee. Quizlet will not pay fees to any third-party agency or firm nor will it be responsible for any agency fees associated with unsolicited resumes. All unsolicited resumes received will be considered the property of Quizlet.#LI-onsite We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Privacy Manager Responsibilities: • As a Privacy Manager, your role will be to complete privacy impact assessments and ML privacy reviews, working with stakeholders to document relevant details of features and services being launched at our company., • Collaborate with cross-functional teams (e.g., Legal, IT, Security, Risk) to gather information on data flows, processing activities, and technical safeguards., • Conduct privacy and machine learning (ML) reviews of submitted information, partnering with privacy subject matter experts to identify and assess privacy risks and ensure appropriate mitigation strategies., • Support the development and refinement of compliance documentation under the guidance of privacy experts, preparing it for formal review and approval cycles., • Manage multiple documents in various stages of review, tracking progress, and driving timely completion., • Partner with business stakeholders and privacy teams to finalize and deliver required privacy documentation., • Monitor for and identify compliance and operational risks throughout the assessment process., • Coordinate with the privacy incident response team to triage and escalate privacy-related tickets submitted by internal partners as needed.Skills:, • Minimum 5 years of hands-on experience in a privacy operations, compliance, or data governance role within a technology or enterprise environment., • Strong knowledge of global data protection laws and frameworks (e.g., GDPR, CCPA, CPRA, LGPD, PIPEDA), and their application in enterprise settings., • Proven track record conducting Privacy Impact Assessments (PIAs), Data Protection Impact Assessments (DPIAs), and supporting privacy-by-design initiatives., • Experience collaborating with legal, product, engineering, and security teams to operationalize privacy requirements throughout the product life cycle., • Demonstrated ability to interpret technical and business processes to identify privacy risks and recommend practical, scalable mitigation strategies., • Strong program management skills, with 5+ years leading initiatives from planning through execution, including stakeholder reporting and risk tracking., • Exceptional communication skills (both written and verbal), with the ability to translate complex privacy and technical concepts to diverse audiences, including global product teams, legal, and executive stakeholders., • Skilled at influencing without authority and driving consensus across cross-functional teams in a global, fast-paced environment., • Experience managing multiple workstreams and documentation efforts simultaneously, with strong organizational and prioritization abilities., • Familiarity with privacy management tools (e.g., OneTrust, TrustArc, BigID) and collaboration platforms (e.g., Jira, Confluence, Asana) is a plus., • Professional certifications such as CIPP/E, CIPP/US, CIPM, or CIPT are strongly preferred.Compensation:, • $70.21 – 75.86/hr W-2Req ID:, • 36458814

Job Description Are you passionate about the future of AI and its potential to transform business operations? Join ChatBotz.ai, an innovative company at the forefront of developing intelligent chatbot solutions. We are seeking a highly skilled and motivated Product Manager to lead our Conversational AI team. As a Product Manager - Conversational AI at ChatBotz.ai, you will play a pivotal role in driving the development and success of our cutting-edge chatbot technology. You will be responsible for overseeing the entire product lifecycle, from ideation to launch and beyond. Your expertise in Conversational AI will shape the future of our chatbot solutions, enabling us to provide personalized and interactive experiences for users. Responsibilities: • Lead the product strategy and vision for our Conversational AI solutions, ensuring alignment with the company's overall goals and objectives., • Conduct market research and analysis to identify customer needs, trends, and opportunities in the Conversational AI space., • Collaborate with cross-functional teams including engineering, design, and business development to define product requirements and specifications., • Drive the product roadmap, making data-driven decisions and prioritizing features and enhancements based on customer feedback and market demand., • Work closely with the engineering team to define technical requirements and ensure successful implementation of new features and functionalities., • Monitor product performance, conduct user testing, and gather feedback to continuously improve the user experience and optimize product performance., • Bachelor's degree in Computer Science, Engineering, or a related field. A Master's degree is a plus., • Proven experience as a Product Manager in the AI or Conversational AI industry., • Strong knowledge of Conversational AI technologies, including Natural Language Processing (NLP) and Machine Learning (ML)., • Familiarity with chatbot platforms, frameworks, and tools., • Excellent analytical skills with the ability to translate complex technical concepts into clear product requirements., • Strong leadership and communication skills to effectively collaborate with cross-functional teams., • Experience in Agile software development methodologies.

Job Description We're Jiffy a fast-growing and profitable startup building the defining company at the intersection of AI, apparel, and culture. We move at a blinding pace, operate in one-week release cycles, and are looking for a builder with a founder's mentality to join our core team. We are not iterating; we are inventing. If you're tired of big-tech bureaucracy and want to build a rocketship from the ground up, this is your call. This is not a typical Product Manager role. The Product Manager – Generalist will own product strategy, vision, and execution for critical initiatives spanning operational systems and core technology platforms. You’ll define roadmaps, drive product decisions, influence stakeholders, and build scalable solutions that impact multiple product lines and business functions. This role is ideal for a strategic thinker with strong technical fluency, operational experience, and curiosity for emerging technologies like machine learning and large-scale systems. You’ll balance short-term delivery with long-term platform evolution, and work with cross-functional teams including engineering, operations, data science, and executive leadership. This role follows a hybrid work model with a requirement of a minimum of three (3) days per week onsite. Employees should expect to work regularly from the office to support collaboration and business needs. The base compensation for this role is expected to range from $150,000 to $200,000 per year. Actual compensation will be based on a variety of factors, including skills, experience, qualifications, and overall fit for the role. Requirements Basic Qualifications • Bachelors Degree Required in Computer Science or related field., • 3-6+ years of product management experience with cross-functional ownership and measurable delivery outcomes., • Strong strategic thinking and execution skills with a track record of taking complex problems to production., • Ability to define, track, and act on meaningful KPIs and product metrics., • Demonstrated experience working with engineering teams (APIs, architecture, data systems)., • Excellent communication skills with the ability to influence at all levels., • Background in AI/ML products, platforms, or applied data systems., • Experience with supply chain, logistics, or e-commerce operations., • Technical experience reading and interpreting system architecture / model design., • Experience in fast-paced, startup or high-growth environments. Preferred Qualifications • Startup DNA: You've worked at a seed or Series A-C startup or have tried to build on your own., • E-commerce experience, • Research Contributions: You have published papers at top AI conferences (e.g., NeurIPS, ICML) or have made significant contributions to major open-source AI projects., • You have a strong and nuanced understanding of the risks and ethical considerations of building powerful AI systems Why You Will Love Working At Jiffy • Opportunity to grow company market share through innovation in the rapidly evolving e-commerce, AI, and image processing space., • Thrive in a collaborative, high-growth environment where your ideas directly influence how Jiffy evolves as a leading e-commerce destination., • High visibility and influence in solving complex problems and delivering cutting edge solutions resulting in direct impact on Jiffy’s seamless customer experience. What We Offer • Compensation & Growth: Competitive salary, equity opportunities, and performance-based bonuses., • Comprehensive Benefits: Full medical, dental, and vision coverage, with a portion of premiums paid by Jiffy., • Retirement Planning: 401(k), • Wellness Support: Annual wellness benefits to help you stay healthy and balanced., • Tools for Success: Choice of MacBook or PC laptop, plus equipment for your home office setup., • Perks & Extras: Annual credit of $200 to use on our website plus more team merch drops than you will know what to do with!, • Professional Development: Annual stipend to support your learning and career growth. This range is provided in accordance with California pay transparency requirements EEO Jiffy is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristics. Jiffy considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Jiffy is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures.

Job Description Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster. We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI. We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe. About the Role: Crusoe Cloud is revolutionizing high-performance computing by offering sustainable, low-cost GPU compute power. As a Customer Support Engineering Manager, you'll play a crucial role in empowering our customers to leverage this technology for groundbreaking advancements in fields like AI/ML, physics simulations, and computational biology. You will be the primary point of contact for technical support, ensuring our customers can seamlessly utilize Crusoe Cloud to achieve their goals. This role directly impacts Crusoe's mission by enabling our customers to accelerate their research and development, contributing to a more sustainable future. You will be involved in exciting projects, working with cutting-edge technologies and collaborating with a talented team to solve complex challenges. The ideal candidate is a highly motivated and experienced technical professional with a passion for customer success, a deep understanding of cloud technologies, and a commitment to Crusoe's values. This is a full-time position. You are invited to join and lead the Crusoe Customer Support Team full of highly talented, driven team members who care deeply about the success of our customers. One of our key priorities is to scale our Support Team’s ability to resolve deeply technical issues and support complex customers and workflows. That’s why we’re searching for a Support Engineering Manager to grow and shape the future of Support Engineering at Crusoe. This role is not a traditional Support Manager position. We’re looking for someone who has technical depth, is confident diving into complex systems, and can mentor others on complex problem solving. What You'll Be Working On: * Hire, lead and develop a team of Support Engineers focused on technical depth, problem-solving serving Crusoe’s enterprise customers * Provide thoughtful coaching and feedback to your direct reports, and partner with them on their career development goals and growth * Build scalable, repeatable processes for diagnosing and resolving complex issues related to integrations, APIs, analytics, and product performance. * Create internal tools and workflows that help the team operate with efficiency and consistency * Use data from escalations and customer feedback to recommend changes that improve team effectiveness and customer outcomes * Collaborate across functions, working closely with leaders in Solutions Engineering, Customer Success and Reliability, Sales, and Product Engineering to elevate and enhance the Crusoe customer experience * Directly engage and collaborate with key customers to understand their AI workloads, pain points, and future requirements to continuously improve our service offerings * Define and monitor key performance indicators (KPIs) to evaluate team performance and effectiveness through leveraging multiple insights * Communicate clearly and effectively with your team, stakeholders, and external customers What You'll Bring to the Team: * B.S. in Computer Science or a related technical discipline, or equivalent experience with an advanced degree in a related field * 6+ years of experience in Software Engineering, Technical Support Engineering, DevOps, Systems engineering, Solutions architecture or similar highly technical customer-facing roles * 2+ years in a leadership role within a high-growth environment * Deep understanding of the cloud infrastructure landscape, including fundamentals of Kubernetes, GPU compute, AI/ML, and high-performance computing * Proven track record of successfully organizing and coordinating the efforts of multiple teams to deliver long-running, complex projects with visibility to senior stakeholders * Passionate about improving the customer experience through well-designed, technically sound solutions. * Comfortable representing customer needs in Engineering discussions and advocating for supportability. * Expert leadership skills with the ability to influence and engage stakeholders at all levels. * Excellent verbal and written communication skills, with a strong capacity to clearly present complex technical information * Demonstrated experience within a fast-paced, dynamic organization experiencing hypergrowth. * Experience working with global teams Bonus Points * Certifications: CKA, CKAD, CKS, KCNA, AWS Machine Learning - Specialty, Data Analytics - Specialty, Solutions Architect - Professional, Developer - Associate, NVIDIA AI Infrastructure and Operations, Generative AI and LLMs, Generative AI Multi-modal, Infiniband, Linux Foundation IT Associate, System Administrator. * Cloud Expertise: Deep understanding of specific cloud platforms and services. * Automation Skills: Experience with automation tools and scripting languages. * Problem-Solving Abilities: Demonstrated ability to analyze complex technical issues and develop effective solutions. * Collaboration and Mentorship: Proven ability to mentor, train, and onboard colleagues. * Passion for Sustainability: A strong interest in contributing to a more sustainable future through technology. Benefits: * Competitive compensation and equity packages * Restricted Stock Units * Paid time off, paid holidays & leave of absence programs * Comprehensive health, dental & vision insurance * Employer contributions to HSA account * Paid parental leave * Paid life insurance, short-term and long-term disability * Professional development & tuition reimbursement * Mental health & wellness support * Commuter benefits (parking & transit) * Cell phone stipend * 401(k) Retirement plan with company match up to 4% of salary * Volunteer time off * Global travel insurance & emergency assistance * Daily meals allowance * Additional perks & programs specific to location Compensation Range Compensation will be paid in the range of up to $144,000 -$165,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicants knowledge, education, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at You'll Do: The Account Manager owns the commercial and relationship aspects of the post-sales journey across a portfolio of Digital Native and select Enterprise customers. You will drive renewals, identify and close upsell and cross-sell opportunities, and ensure customers achieve measurable adoption outcomes with Weights & Biases (W&B). You'll partner closely with Field Engineering (FE)—who leads technical success—while you lead the commercial motions including renewal execution, usage-to-value alignment, growth pipeline creation, and multi-threaded stakeholder engagement. About the role: You will own renewals and lead commercial execution across your assigned accounts, including identifying and closing upsell and cross-sell opportunities. You will partner closely with Field Engineering (FE) while running the commercial motions: renewal execution, usage-to-value alignment, growth pipeline creation, and multi-threaded stakeholder engagement. You will maintain detailed account plans (account maps, whitespace, usage trends, risks, and growth opportunities) and maintain weekly forecasting accuracy and CRM hygiene across renewals and growth motions. This role requires comfort engaging highly technical personas (ML engineers, researchers, PhDs) and operating with autonomy in a rapidly evolving AI ecosystem; it is not a playbook-driven role. • Own renewals, upsells, and cross-sells across your assigned accounts., • Build and maintain detailed account plans including account maps, whitespace, usage trends, risks, and growth opportunities., • Generate growth pipeline by identifying new use cases, teams, and product opportunities within existing accounts.Who You Are:, • Based in the Bay Area (San Francisco, Peninsula, South Bay) strongly preferred; secondary options: New York City or Northern NJ., • 6+ years in B2B/SaaS customer-facing roles commercializing technical products., • 3+ years in a quota-carrying Account Management, Sales, or Renewals role owning post-sales outcomes., • Strong, genuine interest in AI/ML and the evolving machine learning ecosystem., • High technical and product curiosity; comfortable speaking with developers, ML engineers, and researchers., • Proven ability to drive growth motions (upsells, cross-sells) and manage retention in technical accounts., • Strong operational discipline: forecasting accuracy, CRM hygiene, renewal cadence management., • Thrives in ambiguity; able to self-direct and operate independently without detailed playbooks.Preferred:, • Experience working with ML, MLOps, DevOps, or data infrastructure teams., • Familiarity with Git, Jupyter, Python, PyTorch, or cloud platforms (AWS, GCP, Azure)., • Experience designing or executing account activation or expansion strategies., • You love owning renewals and growth motions while building multi-threaded stakeholder relationships., • You're curious about AI/ML and enjoy learning quickly in a rapidly evolving ecosystem. What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration. California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job DescriptionAbout us Encord is the universal data layer for AI that helps 300+ AI teams train and run models on the right data. Our platform indexes, curates, annotates, and evaluates data across the full AI lifecycle, from development through production. Trusted by Woven by Toyota, AXA, UiPath, Zipline, and more. We're an ambitious team of 100+ working at the frontier of AI and have raised $60M in Series C funding from Wellington Management, CRV, Next47 and Y Combinator. Who we are looking for We're looking for an outstanding engineer to push our platform to the next level. You'll join us at a crucial stage of accelerated development for the company, product and team. As part of a small, highly collaborative group, you'll drive our product and team to new heights. Encord is growing rapidly, with our product as the key driver of that growth. A year ago, we were a team of 25; now, we’re 60 and continuing to accelerate. What to expect - High performing team: You'll join the small team that has built a product that our customers love and consistently rate as the best in the market. Members of the team are veterans of both Big Tech and successful startups. While the team is more than a sum of its parts, every member on the team is impressive on their own.- Impact: Your work will have direct and tangible impact for customers and in turn noticeably affect the trajectory of the company.- End-to-end ownership: You will be entrusted with end-to-end ownership of your projects. From product, design and architectural decisions, all the way to deployment, monitoring and measuring impact on users. You will work across the stack, covering everything from deployment to styling. We expect each other to take initiative, be proactive in problem-solving, and continuously seek improvements.- Autonomy and collaboration: You will often work autonomously to take charge of your projects, make decisions, and drive your work forward. But as a lean and high trust team, we remain quick to collaborate and support each other with challenging problems together.- Scale and simplicity: You will tackle complex domains and immense scale with simple solutions. You'll leverage your expertise to solve challenging problems in simple ways. About You - Are experienced: You have seen a lot and built a lot compared to your peers. You have personally developed and maintained multiple systems from scratch and you know what trade offs are involved in building reliable, performant software at speed. - Seek high impact: You want your work to have a tangible outcome for people. You're not satisfied when building products that do not see the light of day or move a number by a tenth of a percent.- Are a builder: You enjoy all aspects of building not only software but a complete product and are comfortable moving across the stack when necessary. You enjoy problem solving and thinking from first principles. You’re ready to pick up new skills and build quickly.- Are comfortable with uncertainty: You're happy to tackle problems without a predefined clear definition or obvious solution, and are excited to have autonomy to make decisions as you go.- Are a team player: You understand that being a member of a high-performing team requires two things. You contribute your best work. You also help others contribute their best. You enjoy lending a helping hand when needed and levelling up those around you. Tech stack We are technology agnostic at Encord. We are not looking for you to have experience in all these technologies. As long as you're open to learning, please apply. We currently use Python and Typescript across our codebase. Prior experience is appreciated but not required. Below is a detailed breakdown of all the technologies we use.- Backend: Python- Frontend: Typescript and React- Kubernetes for deployment- GCP for underlying infrastructure- Machine Learning: PyTorch, CUDA, Ray We encourage people from all backgrounds, cultures and skill levels to apply. It is okay to not meet all requirements listed as we are looking for individuals who are passionate, eager to learn. What We Offer - Competitive salary and equity in a hyper growth startup.- Real opportunities to grow. We’re growing insanely fast and you’ll have all the opportunities for growth that you can handle.- Strong in person culture. We're 4-5 days a week in our newly-launched loft office in North Beach. - Flexible PTO to recharge. - Annual learning and development budget. - 18 paid vacation days + federal holidays. - Lots of opportunities for travel (all around the US, to London & Europe).- Bi-annual off-sites and monthly socials. - Health, dental and vision insurance. Encord offers a unique opportunity to be part of a startup with a clear mission and vision. You will get to explore and build services enterprise AI use cases across many different industry verticals such as healthcare, surveillance, retail, agriculture, and many more. Our work is at the cutting edge of computer vision and deep learning, which also includes working on solving unsolved problems within those fields. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Our Story: Short Story is an award winning, technology-powered retailer dedicated to petite women 5'4" and under. Our mission is to create a seamless shopping experience for millions of petite women so they can dress with effortless confidence. As a fast-growing startup, we're revolutionizing retail with a data-driven learning system that leverages customer feedback to create tailored products. We've been recognized by top publications like Forbes, Fortune and are backed by top investors who share our vision of building the world's next great consumer brand. Our Values: We're building a company with intention and purpose. Our culture thrives on data insights, exceptional commitment to fit, and the urgency to move quickly on what matters. * ✨ Transform Lives. We're customer-first. Everything we create exists to give her confidence. * ⚡️ Demand Excellence. We deliver only our best work, in Fit and Finish. We obsess about details others overlook. * 💪 Embrace Challenges. We see obstacles as opportunities to invent better solutions. * 💡 Think Differently. We get a thrill from finding better solutions others haven't seen. Short Story is seeking a Warehouse General Manager (GM) to manage operations within our fulfillment center in South San Francisco. Your mission is to help us build a well-oiled machine, driven by a customer-centric mentality. You'll lead the charge on assembling a team of exceptionally talented, bright, and committed people. As Warehouse Manager, you will help us deliver our promise to our customers. You will oversee the receiving, handling, storing, picking, and packing activities within the warehouse, ensuring quality standards are met at every turn. You must be an exceptional people manager and operationally savvy. You will lead a team of 70+ associates and several functional Team Leads. You must have the ability and vision to help us scale rapidly. Our ideal candidate is exceptionally detail-oriented, and able to track multiple facets of the warehouse at any given time. In this role, you will own execution of our daily, weekly, and monthly operational goals. Your primary responsibilities will be: * Ensure the warehouse operates at peak efficiency, with customer satisfaction being the primary goal, by supervising, organizing, directing, and training warehouse employees and establishing, monitoring, and managing operational goals * Develop warehouse operations systems by determining product handling and storage requirements, equipment utilization, inventory management, gate processes, and shipping * Review and prepare workflow, manning and space requirements, equipment layout, and action plans while ensuring productivity, quality and customer service standards are met * Inspire, develop, and support your direct reports and warehouse associates * Connect your team to our vision and bring focus & intention to delivering on our stated goals * Recruit, interview, and onboard new team members to build an exceptional team * Manage the labor planning needs for your team to meet weekly goals through accurate planning for current and future hiring needs * Continuously find ways to do things more effectively, ask client-centric questions, share their learnings with others, and work through challenges and obstacles * Review daily performance data and analyze for trends and opportunities. Make informed decisions and respond to changing operational needs effectively e.g. staffing and process changes. You will oversee four functional areas: * Outbound: manage every aspect of the outbound shipping process, including picking, folding, and shipping orders. You will ensure that every detail is perfect in our Short Story curations. This team is also responsible for processing Client exchanges. * Returns: ensure that all returned items are of highest quality before being placed back into inventory to delight another Client. * New Merch: receive new inventory from our vendor partners by tagging, categorizing, and binning 100% of our new inventory. * Support: enable a successful operation overall by solving fulfillment issues, repairing and restoring inventory, and keeping equipment running smoothly. Minimum Qualifications: * You are proficient in Microsoft Office (Excel, Word, PowerPoint) or G Suite (Google Sheets, Docs, Slide) and love learning new systems * You have a four-year degree or equivalent professional experience * You are an exceptional people manager with 8+ years leading other people managers of large teams (30-250) * This is an 100% in person role. You must be able to work in our South San Francisco warehouse. * Comfortable delivering frequent written and oral feedback * Eligible to work in the United States Other Qualifications * You thrive in fast-moving environments where you will move quickly * You are energetic and ready to be on-the-go -- leading your team from the floor for 8 or more hours per day * Strong problem-solving skills with the ability to think analytically while working in a fast-paced startup environment * Expert in navigating, utilizing, and teaching various platforms including Front, Zendesk, Airtable, and Stripe * Entrepreneurial mindset: You must be comfortable and confident leading a small team where your ideas and efforts will have a direct impact on company processes * Expertise in verbal and written communication with internal and external stakeholders * Previous experience working in ecommerce or a tech startup is a plus * Must be able to wear many hats with a hands-on, ready-to-go attitude * Must be flexible and accept change readily with a driven and positive mindset * Eager to learn and excited to help build a company from the ground up * Able to translate client experience communications into recommendations and actionable items Why You'll Love Working at Short Story: * You'll get to work at an early-stage start-up, to build the culture, and to have an outsized impact on our company and society * You'll be a key part of the company with the ability to make high-impact decisions * You'll get the opportunity to try your hand at new things. We deeply believe in giving people opportunity to venture into new areas * We are a successful, fast-growing startup solving problems that have not been solved before and reinventing fashion for an underserved segment * We are a group of smart, passionate, hustlers with a wealth of diverse experiences * We are motivated by unique challenges and opportunities * We are our own customers; many of us on the team are petite women who love our products * We are driven by the mission of helping petite women find their perfect fit so they can dress with total confidence Compensation & Benefits * Attractive early stage compensation package including equity * Medical, dental, and vision benefits * 401k with company match * Flexible PTO policy * Catered lunch on Fridays and company events * Employee discount on merchandise * Opportunity to work at a Y-Combinator-backed startup alongside a dedicated and experienced founding team Short Story is committed to providing equal employment opportunity and a work environment free of discrimination and harassment for all employees and applicants. We work diligently to ensure equal opportunity for all applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, Veteran status, or other legally protected characteristics. Short Story is committed to providing equal employment opportunity and a work environment free of discrimination and harassment for all employees and applicants. We work diligently to ensure equal opportunity for all applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, Veteran status, or other legally protected characteristics. Compensation Range: $125K - $170K

Job DescriptionAs a Senior Product Operations Analyst, you will report directly to Windfall’s VP of Product at the San Francisco headquarters. You will work closely with our engineering, data science, and customer success teams. You will play a key role in streamlining internal processes, creating analyses, and communicating findings to both internal and external stakeholders in slide decks that you construct. This role will give you an opportunity to advance your analytical skills. Working alongside an incredibly talented team of Analysts, Data Scientists, and Engineers, you’ll work on projects to provide impactful insights to the most advanced non-profit and commercial companies in the US. Your insights will help non-profits exceed their donation goals and commercial companies achieve higher ROI on their marketing spend. We’re on a mission to change how organizations perceive and use people data. And we hold true to our core values of: (1) Be an excellent communicator; (2) Operate with transparency; (3) Provide leverage, not optimization; (4) Make a difference every day; and (5) Act with integrity and trust.Responsibilities: • Aggregating data from several sources to generate accurate analysis, • Generating visualizations leveraging different technologies to be included in slide decks and dashboards, • Constructing slide decks from inception to effectively communicate results to various internal & external stakeholders, • Perform focused research on US households to help validate our model and dataset, • Gathering training data that will help us improve Windfall’s data asset, • Creating custom segments for our customers based on different heuristics, • Standardizing and transforming customer data in numerous formats for internal processingRequirements:, • Bachelor's degree in Computer Science, Data Analysis, Engineering, or a similar field, • 2+ years of professional work experience in an analytical role, • Collaborative team-focused attitude with a strong desire to advance the product and learn new things, • Beginner to Intermediate experience with SQL and Python, • Hands-on experience working with large data files via command line, • A fierce sense of ownership and responsibility in one’s work, • You are a self-starter that anticipates requests and doesn’t need a lot of oversight, • Impeccable attention to detail - we take pride in the details!Preferred Qualifications:, • 2+ years working experience with SQL and Python preferred About WindfallWindfall is a people intelligence and AI company that gives go-to-market teams actionable insights. By democratizing access to people data, organizations can intelligently prioritize go-to-market resources to drive greater business outcomes. Powered by best-in-class machine learning and artificial intelligence, Windfall activates insights into workflows that engage the right people for each respective organization. More than 1,500 data-driven organizations use Windfall to power their business. For more information, please visit . We comply with CCPA. For more information on how we comply, review our privacy notice.

Job Description Our Story: Short Story is an award winning, technology-powered retailer dedicated to petite women 5'4" and under. Our mission is to create a seamless shopping experience for millions of petite women so they can dress with effortless confidence. As a fast-growing startup, we're revolutionizing retail with a data-driven learning system that leverages customer feedback to create tailored products. We've been recognized by top publications like Forbes, Fortune and are backed by top investors who share our vision of building the world's next great consumer brand. Our Values: We're building a company with intention and purpose. Our culture thrives on data insights, exceptional commitment to fit, and the urgency to move quickly on what matters. * ✨ Transform Lives. We're customer-first. Everything we create exists to give her confidence. * ⚡️ Demand Excellence. We deliver only our best work, in Fit and Finish. We obsess about details others overlook. * 💪 Embrace Challenges. We see obstacles as opportunities to invent better solutions. * 💡 Think Differently. We get a thrill from finding better solutions others haven't seen. Short Story is seeking a Warehouse Supervisor to lead teams within our fulfillment center in San Francisco. Your mission is to help us build a well-oiled machine, driven by a customer-centric mentality. You'll lead the charge on managing a team of exceptionally talented, bright, and committed people. As Warehouse Supervisor, you will help us deliver our promise to our customers. You will oversee the receiving, handling, storing, picking, and packing activities within the warehouse, ensuring quality standards are met at every turn. You must be an exceptional people manager and operationally savvy. You will lead a large team of associates and several functional Team Leads. You must have the ability and vision to help us scale rapidly. Our ideal candidate is exceptionally detail oriented, and able to track multiple facets of the warehouse at any given time. Your primary responsibilities will be: * Ensure the warehouse operates at peak efficiency, with customer satisfaction being the primary goal, by supervising, organizing, directing, and training warehouse employees and establishing, monitoring, and managing operation goals * Support development of warehouse operations systems by determining product handling and storage requirements, equipment utilization, inventory management, gate processes, and shipping * Review and prepare workflow, manning and space requirements, equipment layout, and action plans while ensuring productivity, quality and customer service standards are met * Inspire, develop, and support your direct reports and warehouse associates * Connect your team to our vision and bring focus & intention to delivering on our stated goals * Manage the labor planning needs for your team to meet weekly goals through accurate planning for current and future hiring needs * Review daily performance data and analyze for trends and opportunities. Make informed decisions and respond to changing operational needs effectively e.g. staffing and process changes. You will support some of these functional areas: * Outbound: manage every aspect of the outbound shipping process including picking, folding, and shipping orders. You will ensure that every detail is perfect in our Short Story curations. This team is also responsible for processing Client exchanges. * Returns: ensure that all returned items are of highest quality before being placed back into inventory to delight another Client. * New Merch: receive new inventory from our vendor partners by tagging, categorizing, and binning 100% of our new inventory. * Support: enable a successful operation overall by solving fulfillment issues, repairing and restoring inventory, and keeping equipment running smoothly. Minimum Qualifications: * You have a four-year degree or equivalent professional experience * You are an exceptional people manager with 3+ years leading large teams * You are proficient in Microsoft Office (Excel, Word, PowerPoint) or G Suite (Google Sheets, Docs, Slides) * This is an 100% in person role. You must be able to work in our warehouse in South San Francisco * Comfortable delivering frequent written and oral feedback * Eligible to work in the United States Other Qualifications * Bilingual English & Spanish - bonus * You thrive in fast-moving environments where you will move quickly * You are energetic and ready to be on-the-go -- leading your team from the floor for 8 or more hours per day * Strong problem-solving skills with the ability to think analytically while working in a fast-paced startup environment * Entrepreneurial mindset: You must be comfortable and confident leading a small team where your ideas and efforts will have a direct impact on company processes * Expertise in verbal and written communication with internal and external stakeholders * Previous experience working in ecommerce or a tech startup is a plus * Must be able to wear many hats with a hands-on, ready to go attitude * Must be flexible and accept change readily with a driven and positive mindset * Eager to learn and excited to help build a company from the ground up Why You'll Love Working at Short Story: * You'll get to work at an early stage start-up, to build the culture, and to have an outsized impact on our company and society * You'll be a key part of the company with the ability to make high impact decisions * You'll get the opportunity to try your hand at new things. We deeply believe in giving people opportunity to venture into new areas * We are a successful, fast-growing startup solving problems that have not been solved before and reinventing fashion for an underserved segment * We are a group of smart, passionate, hustlers with a wealth of diverse experiences * We are motivated by unique challenges and opportunities * We are our own customers; many of us on the team are petite women who love our products * We are driven by the mission of helping petite women find their perfect fit so they can dress with total confidence Benefits * Medical, dental, and vision benefits * 401k with company match * Flexible PTO policy * Catered lunch on Fridays and company events * Employee discount on merchandise * Opportunity to work at a Y-Combinator backed startup alongside a dedicated and experienced founding team Short Story is committed to providing equal employment opportunity and a work environment free of discrimination and harassment for all employees and applicants. We work diligently to ensure equal opportunity for all applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, Veteran status, or other legally protected characteristics. Compensation Range: $65K - $90K

Job DescriptionOverview Welo Data is looking for detail-oriented and reliable individuals to join our team as Data Labeling Analysts, supporting speech and voice AI systems. This is a high-impact production role focused on building the datasets that power real-world AI systems. You’ll be working with audio, speech, and language data — helping ensure models are trained on accurate, well-structured, and representative inputs. While this role is more execution-focused than evaluation-heavy roles, it still requires strong judgment, attention to detail, and consistency. The work sits at the intersection of language, data, and AI systems — where precision and discipline matter at scale. We’re looking for people who are dependable, focused, and take pride in producing high-quality work, even across repetitive workflows. Project Details • Job Title: Data Labeling Analyst, • Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent), • Hours: Full-time, 40 hours per week, • Employment Type: W2 Full-Time Employee, • Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship), • Pay Rate: $26 - $28/hourImportant: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: New York City, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, or Burlingame. Please only apply if you meet this location requirement.What You’ll Do, • Execute high-volume data labeling and annotation tasks across speech and voice datasets, • Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale, • Work with audio and language data, including transcription, categorization, and tagging, • Maintain strong throughput while meeting quality expectations, • Escalate unclear or ambiguous cases appropriately, • Adapt to evolving guidelines and workflows as systems and requirements change, • Support baseline data production needs for AI training pipelines, • Contribute to team calibrations and quality alignment sessions What We’re Looking For, • Native-level fluency in Greek, • Strong written communication skills and language fundamentals, • 1–2 years of experience in data labeling, annotation, or content-focused work, • Ability to follow detailed instructions and apply guidelines consistently, • High attention to detail and ability to maintain accuracy in repetitive tasks, • Comfort working in structured, process-driven environments, • Ability to manage time effectively and maintain steady output, • Willingness to ask questions and escalate when needed, • Basic familiarity with AI, speech technology, or language data is a plus Benefits, • Paid Sick Time & Paid Holiday (combined): 15 days, • Paid Holidays: Memorial Day and Labor Day, • Medical, Dental, and Vision Insurance (eligibility applies), • Health Savings Account (HSA), • 401(k) Retirement Plan, • Employee Assistance Program It’s a great entry point into AI operations, offering exposure to large-scale systems and the opportunity to build foundational experience in data, language, and AI workflows. Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment. To know more details (Click here) In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program. As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionAs a Sr. Product Manager on the Application team, you will partner closely with fellow leaders in engineering, marketing, sales, and customer success to deliver a best-in-class analytics product. You will report to the Head of Product. As a critical member of the product team, you need to be comfortable with complex technical domains and shepherding an early-stage product to market. We’re on a mission to change how organizations perceive and use people data. And we hold true to our core values of: (1) Be an excellent communicator; (2) Operate with transparency; (3) Provide leverage, not optimization; (4) Make a difference every day; and (5) Act with integrity and trust.Responsibilities: • Set the goals, roadmap, and success criteria for your product area organized around short-term delivery and long-term strategy., • Actively contribute to the growth of the PM discipline and craft, mentor and empower our junior team members to excel in their roles., • Ensure successful product launch and lifecycle, with success defined as achieving desired business outcomes and product KPIs., • Engage directly with customers and prospects to understand core problems and translate them into customer needs that empower designers, data scientists, and engineers., • Work closely with cross-functional teams (sales, customer success, and product marketing) to understand the industry, competitor trends, and market dynamics., • Measure the impact of features shipped, solicit customer feedback, and iterate with design and engineering on new learnings., • Collaborate closely with our leadership team to ensure your team’s execution aligns with Windfall’s company vision and product strategy., • Communicate business impact to stakeholders, including progress on product-market and market-motion fit.Requirements:, • 6+ years as a Product Manager building SaaS products, with proven success driving customer adoption and retention., • Expertise with at least one digital analytics tool, such as Amplitude, Adobe Analytics, Google Analytics, etc., • A successful track record of leading cross-functional teams to deliver great product experiences., • Ability to support sales by accelerating deal cycles, increasing average deal sizes, and driving upsells., • Comfort with ambiguity and working in a quickly evolving industry., • Design sense and customer empathy; you advocate for the customer and look for ways to simplify the complex., • Demonstrated ability to understand, discuss, and challenge architectural concepts, trade-offs, and new opportunities with technical team members., • Experience in simplifying complex technical workflows into streamlined user experiences across any of the following industries: ML/data science, eCommerce, retail, travel, digital media, healthcare, or financial services., • Demonstrated ability to make smart features versus time-to-market trade-offs.Preferred Qualifications:, • Domain expertise in marketing analytics, including audience segmentation, channel management, and campaign analysis., • Domain expertise and viewpoint of the modern data stack., • Experienced with Jira, Figma, Pendo, Fullstory, and similar tools.