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The Company Metropolis is an artificial intelligence company that uses computer vision technology to enable frictionless, checkout-free experiences in the real world. Today, we are reimagining parking to enable millions of consumers to just "drive in and drive out." We envision a future where people transact in the real world with a speed, ease and convenience that is unparalleled, even online. Tomorrow, we will power checkout-free experiences anywhere you go to make the everyday experiences of living, working and playing remarkable - giving us back our most valuable asset, time.   The Role  We are seeking a Senior Computer Vision Test Engineer with a passion for quality, automation, and real-world impact. In this role, you will be responsible for designing, developing, and executing robust test strategies for cutting-edge perception systems.  At Metropolis, we build complex, distributed computer vision systems that span a wide range of platforms, from cameras and embedded edge devices to large-scale cloud infrastructures. These systems power, critical, real-time decisions across parking and new verticals. As a Senior Test Engineer, you will play a pivotal role in verifying that each component in this ecosystem functions correctly in isolation and as part of an integrated system. You’ll collaborate closely with engineers across software, hardware, and machine learning teams to define test coverage, develop test harnesses, and identify edge cases that impact performance in production. You will also help shape and improve our continuous integration pipelines and automated validation frameworks to support fast iteration and robust releases. Responsibilities Design and implement test plans, test cases, and test automation frameworks for computer vision and machine learning pipelines. Validate the end-to-end performance of CV applications such as object detection, classification, and tracking under diverse scenarios and edge cases. Analyze system-level behavior and KPIs (latency, accuracy, robustness) using metrics-driven methodologies. Develop tools for test data generation, synthetic validation, and visualization of perception outputs. Collaborate with software, ML, hardware, and QA teams to ensure end-to-end system validation and release readiness. Investigate, root-cause, and document bugs and issues across the perception stack. Drive continuous improvement in test coverage, test automation, and system reliability.   Qualifications  Bachelor's or Master's degree in Computer Science, Electrical Engineering, Robotics, or a related field. 5+ years of hands-on experience in software or system testing, with at least 2 years focused on computer vision (CV), perception, or machine learning systems in production. Proficiency in Python and C++ for test automation and strong experience with unit testing frameworks like GTest or PyTest. Experience designing and implementing end-to-end test strategies for distributed systems, including using version control like Git and CI/CD pipelines like Jenkins or GitHub Actions. Solid understanding of computer vision concepts such as detection, tracking, segmentation, and 2D/3D geometry. Demonstrated experience testing perception or computer vision systems in real-world or hardware-in-the-loop (HIL) environments. Familiarity with common ML frameworks like PyTorch and TensorFlow, and CV libraries like OpenCV. Strong debugging, profiling, and log analysis skills, especially in embedded or real-world deployment environments. Experience with containerization tools like Docker and simulation platforms such as CARLA or NVIDIA Drive Sim. Excellent communication skills with a strong ownership mindset and the ability to work independently.   When you join Metropolis, you’ll join a team of world-class product leaders and engineers, building an ecosystem of technologies at the intersection of parking, mobility, and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $150,000.00 to $180,000.00 annually. The actual base salary offered is determined by a number of variables, including, as appropriate, the applicant's qualifications for the position, years of relevant experience, distinctive skills, level of education attained, certifications or other professional licenses held, and the location of residence and/or place of employment. Base salary is one component of Metropolis’s total compensation package, which may also include access to or eligibility for healthcare benefits, a 401(k) plan, short-term and long-term disability coverage, basic life insurance, a lucrative stock option plan, bonus plans and more.  #LI-NM1 #LI-Onsite Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs, without regard to race, color, religion, sex (including gender identity, sexual orientation, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.  

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Figure is an AI Robotics company developing a general purpose humanoid. Our humanoid robot, Figure 02, is designed for commercial tasks and the home. We are based in San Jose, CA and require 5 days/week in-office collaboration. It’s time to build. We’re hiring Helix Operators to support our humanoid robot development efforts. This role begins as a hands-on, full-time one-month contract as a Data Collector, where you’ll wear sensors provided by Figure to guide and collect motion data that trains our robots. It’s a great opportunity for anyone excited to get into robotics and grow from within. Depending on your performance, skills, and interests, you may grow into longer-term roles like Robot Operator, Pilot Support, or even a full Humanoid Pilot role. Shift: 8:30 AM – 5:00 PM (Monday to Friday)   Responsibilities:  Wear sensor equipment to guide the robot through human-like motions Collect high-quality motion data used to train AI models Flag any issues or bugs during collection and share daily feedback with the team Follow proper equipment and robot maintenance procedures, including setup and shutdown Maintain a safe and organized workspace during all operations Requirements:  Excellent physical coordination, spatial awareness, and focus Stay on your feet for 8+ hours a day and be engaged for extended periods during data collection Master new physical tasks quickly and find the optimal way to perform them Embrace constructive feedback and strive for constant improvement Thrive in a fast paced environment Bonus Qualifications: Experience working with robots or troubleshooting mechanical systems A passion for helping scale the deployment of learning humanoid robots This is a one-month contract-to-hire position, with potential for longer-term opportunities depending on your contributions and interests. We’re looking for motivated people who want to support real-world robot development—and grow with us. The US base salary range for this full-time position starts at $30/hr.  The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.

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The Opportunity We are seeking an experienced Cloud Security Engineer to join our team. The successful candidate will be responsible for designing, implementing, and maintaining the security of our cloud infrastructure and applications. This includes ensuring compliance with regulatory requirements, identifying and mitigating security risks, and collaborating with DevOps teams to ensure secure cloud deployments.  Your Impact Design and implement secure cloud architectures and configurations Conduct cloud security assessments and risk analyses Implement and manage cloud security controls, such as firewalls, access controls, and encryption technologies Monitor cloud security logs and investigate security alerts Respond to security incidents and develop incident response plans Ensure cloud compliance with regulatory requirements, such as HIPAA, PCI-DSS, and GDPR Collaborate with DevOps teams to ensure secure cloud deployments Develop and deliver security awareness training programs Stay up-to-date with emerging cloud security threats and technologies We're looking for someone who 4+ years of experience in cloud security engineering Strong knowledge of cloud security architectures, controls, and compliance requirements Expertise in the security of public cloud platforms (e.g. AWS, Microsoft Azure), especially securing multi-cloud networks and infrastructure, and designing cloud agnostic systems. Understand container security, network security, and cloud security services Experience building cloud security infrastructure (e.g. logging, monitoring vuln management, DLP)   Strong understanding of security frameworks, such as NIST and ISO 27001 Excellent problem-solving and analytical skills Strong communication and collaboration skills Bachelor's degree in Computer Science, Cybersecurity, or related field About Otter.ai  We are in the business of shaping the future of work. Our mission is to make conversations more valuable. With over 1B meetings transcribed, Otter.ai is the world’s leading tool for meeting transcription, summarization, and collaboration. Using artificial intelligence, Otter generates real-time automated meeting notes, summaries, and other insights from in-person and virtual meetings - turning meetings into accessible, collaborative, and actionable data that can be shared across teams and organizations. The company is backed by early investors in Google, DeepMind, Zoom, and Tesla. Otter.ai is an equal opportunity employer. We proudly celebrate diversity and are dedicated to inclusivity. *Otter.ai does not accept unsolicited resumes from 3rd party recruitment agencies without a written agreement in place for permanent placements. Any resume or other candidate information submitted outside of established candidate submission guidelines (including through our website or via email to any Otter.ai employee) and without a written agreement otherwise will be deemed to be our sole property, and no fee will be paid should we hire the candidate. Salary range Salary Range: $185,000 to $210,000 USD per year This salary range represents the low and high end of the estimated salary range for this position. The actual base salary offered for the role is dependent based on several factors. Our base salary is just one component of our comprehensive total rewards package.

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About UsZeromark builds AI-driven counter-drone systems that actually work in combat. No PowerPoints. No hype. Just field-proven technology that saves lives.We've doubled year-over-year for two straight years, winning contracts that prove what we've always known: real innovation happens in the dirt, not in conference rooms. Our systems transform standard weapons into AI-powered platforms that detect, track, and neutralize drone threats—because a $200 drone shouldn't require a million-dollar countermeasure.Here's what makes us different: ZeroMark operators don't build from behind screens. You'll validate tech from Blackhawk helicopters, train alongside Tier-1 units (who happen to be our coworkers), and test at legendary ranges from White Sands to the cliffs of Hawaii. When we say field-tested, we mean you'll shoot it, fly with it, and push it to failure. We don't tweet about changing the world—we're too busy actually doing it. Dark humor required, thick skin recommended.If you want to make an actual impact—and have some unforgettable Tuesday afternoons along the way—let's talk. We're all about delivering practical, field-tested tech, not just theories.The RoleWe are seeking a highly skilled and experienced Senior Machine Learning Generalist to join our talented team. This individual will play a crucial role in designing, developing, and deploying machine learning models across various defense applications. You will work closely with both our general software engineering team and our computer vision engineering team, bridging the gap between foundational software development and advanced computer vision applications. This role requires a strong understanding of diverse ML techniques, excellent problem-solving abilities, and the capacity to adapt to evolving project needs.ResponsibilitiesDesign, develop, and implement end-to-end machine learning pipelines, from data ingestion and preprocessing to model training, evaluation, and deployment.Collaborate with the general software engineering team to integrate ML models into existing software systems and ensure scalability and maintainability.Work in conjunction with computer vision specialists to apply and optimize ML techniques for image and video analysis, object detection, tracking, and recognition in defense contexts.Research and evaluate new machine learning algorithms, tools, and technologies to enhance our capabilities and solve challenging problems.Perform rigorous model testing, validation, and performance tuning to ensure robustness and accuracy in real-world scenarios.Contribute to the development of best practices for ML engineering, including MLOps, version control, and reproducible research.Mentor junior engineers and contribute to a culture of continuous learning and knowledge sharing.Communicate technical concepts effectively to both technical and non-technical stakeholders.QualificationsEducation: Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related quantitative field.Experience: 5+ years of experience in machine learning engineering, with a proven track record of deploying ML models in production environments.Technical Skills:Strong proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).Solid understanding of core machine learning concepts, including supervised, unsupervised, and reinforcement learning.Experience with various machine learning model architectures and their application (e.g., CNNs, RNNs, Transformers, decision trees, support vector machines).Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes).Experience with MLOps tools and practices.Experience deploying a variety of edge systems.Experience with TensorRT and other similar technologies.Deep knowledge of C++ and Python.Domain Knowledge:Experience or strong interest in defense, aerospace, or related industries is highly desirable.Understanding of the unique challenges and considerations for deploying ML in defense applications (e.g., adversarial robustness, real-time constraints, data security).Collaboration & Communication:Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.Ability to translate complex technical concepts into clear and concise language.Problem-Solving:Strong analytical and problem-solving skills, with a proactive and innovative approach.Ability to work independently and manage multiple priorities in a fast-paced environment.Preferred QualificationsExperience with specific computer vision tasks such as object detection, segmentation, or tracking.Familiarity with real-time ML systems and embedded systems.Contributions to open-source projects or publications in relevant fields.

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About UsZeromark builds AI-driven counter-drone systems that actually work in combat. No PowerPoints. No hype. Just field-proven technology that saves lives.We've doubled year-over-year for two straight years, winning contracts that prove what we've always known: real innovation happens in the dirt, not in conference rooms. Our systems transform standard weapons into AI-powered platforms that detect, track, and neutralize drone threats—because a $200 drone shouldn't require a million-dollar countermeasure.Here's what makes us different: ZeroMark operators don't build from behind screens. You'll validate tech from Blackhawk helicopters, train alongside Tier-1 units (who happen to be our coworkers), and test at legendary ranges from White Sands to the cliffs of Hawaii. When we say field-tested, we mean you'll shoot it, fly with it, and push it to failure. We don't tweet about changing the world—we're too busy actually doing it. Dark humor required, thick skin recommended.If you want to make an actual impact—and have some unforgettable Tuesday afternoons along the way—let's talk. We're all about delivering practical, field-tested tech, not just theories.What You'll Do:As an Electrical Design Engineer, you'll be instrumental in designing, developing, and testing the core electronic systems for our next-generation counter-drone platforms. Your responsibilities will include:Circuit Design: Architecting and implementing complex analog and digital circuits for RF, power management, signal processing, and control systems.PCB Layout: Designing multi-layer printed circuit boards (PCBs) with a focus on signal integrity, power delivery, and manufacturability.Component Selection: Identifying and evaluating electronic components, ensuring optimal performance, reliability, and cost-effectiveness.Prototyping & Testing: Building and testing prototypes, performing rigorous validation and verification to ensure designs meet stringent performance and reliability requirements.Firmware & Software Collaboration: Working closely with firmware and software engineers to integrate hardware and ensure seamless system functionality.Troubleshooting & Optimization: Diagnosing and resolving hardware issues, and continuously optimizing designs for performance, efficiency, and robustness.Documentation: Creating comprehensive design documentation, schematics, layouts, and test procedures.What You’ll Need:We're seeking a highly motivated and skilled Electrical Design Engineer with:Education: Bachelor's or Master's degree in Electrical Engineering or a related field.Experience: 5+ years of experience in electrical hardware design, preferably in the defense, aerospace, or related high-tech industries.Technical Expertise:Strong proficiency in analog and digital circuit design.Hands-on experience with PCB design tools (e.g., Altium Designer, OrCAD, Eagle).Knowledge of RF principles and high-speed digital design.Experience with microcontrollers, FPGAs, and embedded systems.Familiarity with various communication protocols (e.g., I2C, SPI, UART, Ethernet).Proficiency in using lab equipment (oscilloscopes, spectrum analyzers, network analyzers).Problem-Solving Skills: Excellent analytical and problem-solving abilities with a keen eye for detail.Team Player: Ability to collaborate effectively in a dynamic, cross-functional team environment.Innovation: A passion for innovation and a desire to contribute to cutting-edge technology.Security Clearance: Ability to obtain and maintain a U.S. security clearance (U.S. citizenship required).Bonus Points For:Experience with counter-drone systems or related defense technologies.Familiarity with DFM (Design for Manufacturability) and DFT (Design for Testability).Knowledge of electromagnetic compatibility (EMC) and electromagnetic interference (EMI) principles.Why Join Us?Impactful Work: Contribute to critical national security initiatives and make a real difference in protecting lives and assets.Cutting-Edge Technology: Work on groundbreaking technologies in a rapidly evolving field.Dynamic Environment: Thrive in a fast-paced, agile startup culture where your ideas are valued.Growth Opportunities: Grow your career alongside a rapidly expanding company.Competitive Compensation: Receive a competitive salary and benefits package.If you're ready to take on exciting challenges and be a part of a team that's shaping the future of defense technology, apply now!

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About the Role We’re seeking a top tier Program Manager – AI Solutions to support end-to-end implementation of AI solutions at enterprise customer organizations. You will establish and maintain robust project management infrastructure, coordinate cross-functional teams, and ensure timely delivery of AI solutions that deliver against customer expectations. This is an exciting opportunity to work on the forefront of Generative AI with some of the leading brands in the world. This is a fully remote role based in the United States or Canada. Key Responsibilities Program Leadership: Own the full lifecycle of AI solutions projects—from requirements gathering through development, deployment, and post-launch optimization. Project Management Infrastructure: Design and implement standardized processes, tools, and templates (e.g., status dashboards, delivery templates) to support consistent, scalable AI solution delivery. Cross-Functional Collaboration: Coordinate with Sales, Applied AI, Research, Product, and Engineering to drive alignment and remove roadblocks. Stakeholder Communication: Provide regular updates to senior leadership on customer project status, milestones, and risks. Risk & Issue Management: Proactively identify, assess, and mitigate risks; escalate issues appropriately, and document resolutions to continuously improve delivery processes. Resource & Budget Planning: Define resource requirements, track team and project utilization, and optimize allocation across multiple concurrent AI initiatives. Change Management: Develop and execute change-management plans (training materials, user guides, rollout schedules) to drive adoption of AI-powered solutions within the business. Continuous Improvement: Gather and analyze post-implementation metrics, collect stakeholder feedback, and drive lessons-learned sessions to refine methodologies and accelerate future deployments. Qualifications 5+ years of program or project management experience at a technology or consulting/services company focused on technology implementation and delivery. Demonstrated ability to manage a high volume of complex, multi-stakeholder technology delivery projects end-to-end. Proficiency with project-management tools (e.g., Jira, Asana, MS Project) and familiarity with Agile/Scrum and Waterfall methodologies. Exceptional organizational skills with a proven track record of building and scaling PM infrastructures. Outstanding verbal and written communication skills; experience presenting to C-level executives. Bachelor’s degree in Computer Science, Engineering, Business, or a related field; MBA or advanced degree a plus. PMP, PgMP, or Scrum Master certification preferred. Compensation The salary range for this role is between $130,000-$150,000 USD if based in the US and between $100,000-$120,000 CAD if based in Canada. Individual pay within the range is based on factors like job-related skills and experience. Total compensation also includes stock options and benefits. Equal Employment Opportunity: We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses. 

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Appier is a technology company which aims to provide artificial intelligence platforms to help enterprises solve their most challenging business problems. Appier was established in 2012 by a passionate team of computer scientists and engineers with expertise in AI, data analysis, distributed systems, and marketing. About the Role: We are looking for a highly strategic, entrepreneurial, and impact-driven Investment Partner to join Appier's Strategy Team. This high-impact leadership role is responsible for driving Appier's strategic investments in early-stage startups (Seed to Series A), focusing on companies with innovative technologies especially around the theme of agentic AI. You will lead the end-to-end investment process, from sourcing and due diligence to deal execution and portfolio management, working closely with C-level leadership. This role combines deep market insight, rigorous financial analysis, and a strong ability to build relationships with founders and the broader startup community to unlock strategic growth opportunities for Appier.   Responsibilities Lead and build the end-to-end process of sourcing, evaluation, and execution of new investment opportunities in early-stage startups (Seed to Series A). Conduct comprehensive due diligence, including market analysis, competitive landscape, technology assessment, financial modeling, and team evaluation. Present investment recommendations to Appier's leadership and investment committee, articulating strategic fit and potential returns. Negotiate investment terms and structures to align with Appier's strategic and financial objectives. Support portfolio companies post-investment, providing strategic guidance, fostering synergies with Appier's products and teams, and assisting with follow-on funding rounds. Build and maintain strong relationships with founders, venture capitalists, incubators, and other key players in the startup ecosystem. Collaborate with Appier's product, engineering, and business development teams to identify and evaluate potential strategic partnerships arising from the investment pipeline. Develop and refine Appier's investment thesis and strategy in alignment with overall corporate objectives   About you 10+ years of experience in venture capital, corporate venture capital, private equity, or strategic investment roles, with a proven track record of successful investments in early-stage technology companies. Strong analytical, financial modeling, and business case development skills, particularly in early-stage valuations. Deep understanding of the AI, advertising technology, and marketing technology landscapes. Proven ability to identify, evaluate, and lead complex investment deals. Excellent written and oral communication skills in English and Mandarin. Established network within the global startup and venture capital communities. Entrepreneurial mindset with a bias for action and execution, comfortable working independently and as part of a lean, high-performing team.   #LI-JP1  

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Shape the Future of AI At Labelbox, we're building the critical infrastructure that powers breakthrough AI models at leading research labs and enterprises. Since 2018, we've been pioneering data-centric approaches that are fundamental to AI development, and our work becomes even more essential as AI capabilities expand exponentially. About Labelbox We're the only company offering three integrated solutions for frontier AI development: Enterprise Platform & Tools: Advanced annotation tools, workflow automation, and quality control systems that enable teams to produce high-quality training data at scale Frontier Data Labeling Service: Specialized data labeling through Alignerr, leveraging subject matter experts for next-generation AI models Expert Marketplace: Connecting AI teams with highly skilled annotators and domain experts for flexible scaling Why Join Us High-Impact Environment: We operate like an early-stage startup, focusing on impact over process. You'll take on expanded responsibilities quickly, with career growth directly tied to your contributions. Technical Excellence: Work at the cutting edge of AI development, collaborating with industry leaders and shaping the future of artificial intelligence. Innovation at Speed: We celebrate those who take ownership, move fast, and deliver impact. Our environment rewards high agency and rapid execution. Continuous Growth: Every role requires continuous learning and evolution. You'll be surrounded by curious minds solving complex problems at the frontier of AI. Clear Ownership: You'll know exactly what you're responsible for and have the autonomy to execute. We empower people to drive results through clear ownership and metrics. Role Overview As an Applied Research intern at Labelbox, you will design, build, and productionize evaluation and post‑training systems for frontier LLMs and multimodal models. You’ll own continuous, high-quality evals and benchmarks (reasoning, code, agent/tool‑use, long‑context, vision‑language, et al.), create and curate post‑training datasets (human + synthetic), and prototype RLHF/RLAIF/RLVR/RM/DPO‑style training loops to measure and improve real‑world task and agent performance. Your Impact Build and own evaluation and benchmark suites for reasoning, code, agents, long‑context, and V/LLMs. Create post‑training datasets at scale: design preference/critique pipelines (human + synthetic), and target hard failures surfaced by evals. Experiment and prototype RLHF/RLAIF/RLVR/RM/DPO‑style training loops to improve real-world task and agent performance. Land research in product: ship improvements into Labelbox workflows, services, and customer‑facing evaluation/quality features; quantify impact with customer and internal metrics. Engage with customer research teams: run pilots, co‑design benchmarks, and share practical findings through internal research reports, blog posts, talks, and published papers. What You Bring A strong foundation in AI and machine learning, backed by a Ph.D. or Master’s degree in Computer Science, Machine Learning, AI, or a related field (in progress degrees are acceptable for intern positions). A deep understanding of frontier autoregressive and diffusion multimodal models, along with the human and synthetic data strategies needed to optimize them. Passion and experience for LLM evaluation and benchmarking. Expertise in training data quality construction, measurement and refinement. The ability to bridge research and application by interpreting new findings and translating them into functional prototypes. A track record of publishing in top-tier AI/ML conferences (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL) and contributing to the broader research community. Proficiency in Python and experience with deep learning frameworks like PyTorch, JAX, or TensorFlow. Exceptional communication and collaboration skills. Applied Research at Labelbox At Labelbox Applied Research, we're committed to pushing the boundaries of AI and data-centric machine learning, with a particular focus on advancing human-AI interaction techniques. We believe that high-quality human data and sophisticated human feedback integration methods are key to unlocking the next generation of AI capabilities. Our research team works at the intersection of machine learning, human-computer interaction, and AI ethics to develop innovative solutions that can be practically applied in real-world scenarios.Labelbox strives to ensure pay parity across the organization and discuss compensation transparently.  The expected annual base salary range for United States-based candidates is below. This range is not inclusive of any potential equity packages or additional benefits. Exact compensation varies based on a variety of factors, including skills and competencies, experience, and geographical location.Annual base salary range$35—$45 USDLife at Labelbox Location: Join our dedicated tech hubs in San Francisco or Wrocław, Poland Work Style: Hybrid model with 2 days per week in office, combining collaboration and flexibility Environment: Fast-paced and high-intensity, perfect for ambitious individuals who thrive on ownership and quick decision-making Growth: Career advancement opportunities directly tied to your impact Vision: Be part of building the foundation for humanity's most transformative technology Our Vision We believe data will remain crucial in achieving artificial general intelligence. As AI models become more sophisticated, the need for high-quality, specialized training data will only grow. Join us in developing new products and services that enable the next generation of AI breakthroughs. Labelbox is backed by leading investors including SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures, Databricks Ventures, and Kleiner Perkins. Our customers include Fortune 500 enterprises and leading AI labs. Your Personal Data Privacy: Any personal information you provide Labelbox as a part of your application will be processed in accordance with Labelbox’s Job Applicant Privacy notice. Any emails from Labelbox team members will originate from a @labelbox.com email address. If you encounter anything that raises suspicions during your interactions, we encourage you to exercise caution and suspend or discontinue communications.

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About Retell AIAt Retell AI, we're not just automating calls—we’re transforming how the world communicates. Our AI voice agents are reshaping sales, support, and customer engagement for leading brands. Backed by Alt Capital, Y Combinator, and top-tier investors, we've raised $4.7M in seed funding and hit $14M ARR with just 12 people.We’re one of the fastest-growing Voice AI startups and we're on a mission to become the standard for voice automation at scale. We're also one of the top ranking startups at https://leanaileaderboard.com/.About the RoleAs a Founding DevOps Engineer, you’ll be the owner of our build, release, and runtime foundations. You’ll design and automate deployment pipelines for both cloud SaaS and on-prem environments, orchestrate containers at scale, and ship reliable releases that meet compliance requirements. You’ll work cross-functionally with product, security, and customer teams—then turn what you learn in the field into reusable platform capabilities.Key ResponsibilitiesOwn CI/CD end-to-end: design, implement, and operate pipelines with blue/green, canary, and phased rollouts; define graceful draining for HA systems.Architect, maintain, and harden Kubernetes-based runtime (Docker, Kubernetes, Helm), including multi-cluster and multi-tenant concerns.Manage cloud deployments across AWS/Azure/GCP and coordinate with on-prem infrastructure teams; standardize with IaC (e.g., Terraform).Implement robust observability (metrics, logs, traces), SLOs/error budgets, and automated rollback/one-click restore.Partner with compliance to integrate SOC 2 / ISO 27001 / HIPAA controls into pipelines (artifact signing, SBOMs, change management, access/keys).Deploy at customer sites (cloud or on-prem), collaborating with client teams for integration, runbooks, and handover.Lead incident response & postmortems; drive resilience, cost, and performance improvements.Document release processes and platform conventions; codify best practices into tooling and templates.You Might Thrive If YouHave deep hands-on experience with a major cloud (AWS, Azure, or GCP) and container orchestration (Kubernetes, Helm).Build production-grade CI/CD with GitHub Actions / GitLab CI / Jenkins (or similar), including complex rollout strategies.Have shipped both SaaS and on-prem solutions, navigating networking, security, and environment drift.Can integrate compliance and security into delivery (secret management, image signing, policy-as-code).Are comfortable with networking fundamentals, security hardening, and performance tuning.Communicate clearly, move fast in ambiguity, and enjoy being the responsible adult in prod.Job DetailsJob Type: Full-time, 70 hr/week (50 hr/week onsite with flexible hours + 20 hr/week work from home)Cash: 215k - 290kEquity: 0.3 - 0.6%Location: Redwood City, CA, USUS Visas: Sponsors Visa & Green CardOther Benefits100% medical, dental, vision insurance coverageUnlimited breakfast, lunch, dinner, and snacksGym and daily commute fee reimbursementInternet and phone bill coveredCompensation PhilosophyBest Offer Upfront: Choose from three cash-equity balance options, no negotiation needed.Top 1% Talent: Above-market pay (top 5 percentile) to attract high performers.High Ownership: Small teams, >$1M revenue/employee, and significant equity.Performance-Based: Offers tied to interview performance, not experience or past salaries.Interview ProcessOnline Assessment (25–30 min): One HackerRank coding questions on practical problem-solving (7 days to complete).Technical Phone Interview 1 (30 min): Live coding on CoderPad, focusing on data structures and algorithms.Technical Phone Interview 2 (30–45 min): Full-stack development with JavaScript, TypeScript, React, and Node.js in a local environment.Onsite/Virtual Interviews (2-3 hrs): Hosted in our office if located in the Bay Area or virtual, with three rounds:DevOps Build & Run: Design a Kubernetes deployment with blue/green, draining, and a 2-hour instance lifetime constraint; walk through rollout/rollback.Communication (FDE-style): Partner exercise on explaining trade-offs and aligning stakeholders.Systems Design (DevOps): Architect a generalized on-prem solution deployable across multiple clouds with different data stores, key vaults, encryption, availability/failover, monitoring, upgrades, and maintenance.Learn MoreRetell AI - API That Turns Your LLM Into A Human-Like Voice AgentRetell AI Basics: Everything You Need to Start Building Voice AgentsJoin Retell AI to shape the future of voice automation, building scalable, impactful full-stack systems that redefine AI-driven communication.

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About Appier  Appier is a software-as-a-service (SaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information. About the role Software engineers at Appier build a wide range of platforms and services that interconnect data and AI with our customers and users. As a Senior Software Engineer, Backend Development at Ad Cloud Platform Team, you will design and build scalable and performant backend architecture, own and drive the technical roadmap for sizable projects or services, mentor junior engineers, and facilitate high performance agile teams collaborating with cross-functional teams.   About you  [Minimum Qualifications] 3+ years of hands-on experience in backend software development, particularly with high-performance, high-concurrency systems. Proficient in one or more of the following languages, Python is preferred. Strong experience in system design and architecture for scalable and distributed systems, especially within a Linux environment. Good understanding of Network API Design (e.g., RESTful APIs, gRPC, GraphQL) and experience with message queues (e.g., Kafka, Pub/Sub) for data pipelines. Solid knowledge of SQL/NoSQL databases (e.g., MySQL, MongoDB, Redis, ClickHouse, PostgreSQL) and experience with database optimization and scaling strategies. Familiarity with DevOps practices, including CI/CD pipelines, Docker, Kubernetes, and cloud platforms (AWS, GCP, or Azure). Experience with observability tools (e.g., Prometheus, Grafana) and robust monitoring and alerting implementation. Proactive, excellent problem-solving skills, and strong communication in a cross-functional team setting.   [Preferred Qualifications] BS/MS degree in Computer Science or a related field. Demonstrated ability to develop complex business features with PM, QA, and front-end engineers.. Experienced in promoting backend architecture upgrades or improving development processes.   #LI-AK1

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Who We Are PathAI's mission is to improve patient outcomes with AI-powered pathology. Our platform promises substantial improvements to the accuracy of diagnosis and the efficacy of treatment of diseases like cancer, leveraging modern approaches in machine learning. Our team, comprising diverse employees with a wide range of backgrounds and experiences, is passionate about solving challenging problems and making a huge impact. Where You Fit We're looking for an Implementation Engineer to join our team and help support our digital diagnostics customers, including our commercially deployed AI product portfolio and Digital Pathology Image Management System, AISight.  Although experience is important, we weigh a heavy emphasis on cultural fit within the organization, a hunger to learn both our business and customers, and a drive to move us forward in this rapidly evolving industry. We are looking for someone that is well versed in SaaS Implementations, Lab/IT Connectivity Integrations and is well organized, has a sense of drive and an aptitude for learning quickly in a complex space. What You’ll Do Build and maintain strong relationships with our DDx customers (Anatomic Pathology labs, Academic Medical Centers, Hospital Systems)  acting as their primary point of contact during the technical implementation phase of the project Provide hands-on technical implementation support, working with customer IT and internal development teams as needed Provide project management of all implementation tasks, providing schedule updates, resolving risks and issues, and communicating with the customer on a regular basis On-Call Support: Support external clients as an application expert/escalation point for our support team. (Including an on-call rotation)  What You Bring 3+ years of experience in a client-facing, SaaS implementation roles Fluent in English and Portuguese; ideally Spanish proficiency as well Based in Brazil Strong analytical skills and operating rigor Experience handling difficult customers or situations and can demonstrate resolutions A strong understanding of our business and products, and an ability to research/self-start in areas that require learning Familiarity with HL7 interface implementation and hands-on experience with market-leading laboratory information systems (Epic Beaker, Novopath, Cerner Millenium etc) is preferred Willingness to travel 20% of the time (primarily in Brazil; occasionally to the US) Please submit your resume in English Want To Hear From You At PathAI, we are looking for individuals who are team players, are willing to do the work no matter how big or small it may be, and who are passionate about everything they do. If this sounds like you, even if you may not match the job description to a tee, we encourage you to apply. You could be exactly what we're looking for.  PathAI is an equal opportunity employer, dedicated to creating a workplace that is free of harassment and discrimination. We base our employment decisions on business needs, job requirements, and qualifications — that's all. We do not discriminate based on race, gender, religion, health, personal beliefs, age, family or parental status, or any other status. We don't tolerate any kind of discrimination or bias, and we are looking for teammates who feel the same way.  #LI-Remote  

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Who We Are PathAI is on a mission to improve patient outcomes with AI-powered pathology. We are transforming traditional pathology methods into powerful, new technologies. These innovations in pathology can help accelerate drug development, improve confidence in the accuracy of diagnosis, and get life-saving therapies to patients more quickly. At PathAI, you'll work with a diverse and talented team of people, who are dedicated to solving complex problems and making a huge impact. Where You Fit We are looking for a dynamic clinical project manager who will report to the Head of Clinical Operations to drive our clinical study roadmaps by partnering with internal and external stakeholders. Scientific and project management skills will be key to success in driving the necessary studies for pre- and post-market assessment of our products, as well as clinical trial services.  What You'll Do Responsible for, and must have a demonstrated ability to successfully develop, implement, manage, and complete clinical trials operationally within designated programs and timelines. Lead the development and communication of presentations to keep internal and external teams informed  of progress, timelines, and risks- ensuring alignment and successful completion of projects. Generate high quality trial documentation that accurately captures trial activities and workflows, with high attention to detail. Manage day to day monitoring of study activities and proactively address any issues that may arise. Partner with cross functional internal teams (Engineering, Clinical Science, BioPharma Laboratory, etc.) and external stakeholders to manage, adjust, and revise project timelines/budgets as necessary. Must be able to resolve problems using FDA and other regulations, adherence to GCP requirements, and through regular site interactions. Demonstrate excellent interpersonal skills, ability to bring teams together to successfully plan and execute PathAI clinical trials, and ability to prioritize with multiple competing priorities. Manage external vendors, as needed. What You Bring 3+ years of project management experience in medical device and/or drug development clinical trials and a BS or BA in a relevant scientific discipline, or 1-2+ years of experience with an M.S. or PhD in a relevant scientific discipline. Robust understanding of clinical trial regulations, GCP and GCLP. Experience in digital pathology, radiology or other imaging technology-based clinical trials is highly preferred. Good organizational skills, attentive to details, and able to multitask. Project Management Certification is a plus. Strong understanding of laboratory practices, histology, and pathology preferred. Experience in MASH, IBD, and Oncology preferred. We Want To Hear From You At PathAI, we are looking for individuals who are team players, are willing to do the work no matter how big or small it may be, and who are passionate about everything they do. If this sounds like you, even if you may not match the job description to a tee, we encourage you to apply. You could be exactly what we're looking for.  PathAI is an equal opportunity employer, dedicated to creating a workplace that is free of harassment and discrimination. We base our employment decisions on business needs, job requirements, and qualifications — that's all. We do not discriminate based on race, gender, religion, health, personal beliefs, age, family or parental status, or any other status. We don't tolerate any kind of discrimination or bias, and we are looking for teammates who feel the same way.  

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About Appier  Appier is a software-as-a-service (SaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange. Job Title: RTB Advertising Optimization & GTM PM Location: Preferred: Tokyo Japan (or available to travel to Japan frequently) About the Role: We are looking for a data-driven and collaborative individual to join our team as an RTB Advertising Optimization PM. In this role, you will work closely with data scientists, campaign managers, and Japan-based business teams to improve RTB (Real-Time Bidding) campaign performance through model enhancements, market insights, and cross-functional collaboration. You will also support local business development and sales teams in identifying key market challenges and shaping the go-to-market strategy. This role offers the opportunity to work with large-scale A/B experiments across billions of ad requests daily and to directly influence product optimization efforts in the Japan market. Key Responsibilities: Partner with data scientists and campaign managers to improve RTB model and algorithm performance. Collaborate closely with Japan-based Sales teams to identify business challenges, define product solutions, and support go-to-market strategies. Analyze competitor strategies and market trends to uncover optimization opportunities. Drive data-informed decision-making to improve campaign outcomes. Design and evaluate A/B experiments at scale using billions of daily auction requests. Research and test end-to-end RTB ad serving behaviors to uncover areas for improvement. Explore and evaluate potential new signals to enhance model effectiveness. Work with the SSP partnership team to optimize traffic quality and supply-side performance. Coordinate cross-functional requirements with strong communication and alignment across regional and global teams. Language Skills: Proficient in Japanese ///  Business-level English or Mandarin is a plus. Able to clearly communicate ideas and technical findings across both local and global stakeholders. Bonus: Experience in digital advertising campaign operations, media buying, or performance optimization—especially within RTB environments—is a strong plus. Experience working directly with Japanese clients or stakeholders is a strong advantage.  

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Why HarveyHarvey is a secure AI platform for legal and professional services that augments productivity and automates complex workflows. Harvey uses algorithms with reasoning-adept LLMs that have been customized and developed by our expert team of lawyers, engineers and research scientists. We’ve found product market fit and are scaling our team very quickly. Some reasons to join Harvey are:Exceptional product market fit: We have partnered with the largest law firms and professional service providers in the world, including Paul Weiss, A&O Shearman, Ashurst, O'Melveny & Myers, PwC, KKR, and many others.Strategic investors: Raised over $500 million from strategic investors including Sequoia, Google Ventures, Kleiner Perkins, and OpenAI.World-class team: Harvey is hiring the best talent from DeepMind, Google Brain, Stripe, FAIR, Tesla Autopilot, Glean, Superhuman, Figma, and more.Partnerships: Our engineers and researchers work directly with OpenAI to build the future of generative AI and redefine professional services.Performance: 4x ARR in 2024.Competitive compensation.Role OverviewAs a Staff Backend Software Engineer at Harvey, you’ll play a pivotal role in shaping the foundation of our product platform while directly building user-facing features for some of the world’s leading law firms and enterprise customers. This team owns and operates the platform layer that enables secure, reliable, and flexible experiences for our customers including notifications, permissions and feature flag infrastructure. We also build enterprise-grade collaboration experiences for law firms.You will design and own systems that not only serve as critical infrastructure for the rest of the company, but also directly impact how our users engage with Harvey’s AI-powered legal tools. This role is ideal for engineers who are excited by the opportunity to move between deep platform thinking and hands-on product iteration.This role is based in Toronto, Canada. We use an in-person work model and offer relocation assistance to new employees.What You’ll DoDesign and build foundational backend infrastructure including authentication, permissions, feature flagging, notifications, and document management integrationsBuild and evolve Harvey’s internal product platform, accelerating development across multiple product lines and engineering teamsLead development of enterprise-facing features, such as secure multi-party collaboration, cross-organization workflows, and robust admin controlsMaintain high standards for security, privacy, and system reliability, particularly in handling sensitive legal dataCollaborate cross-functionally with product, AI, design, and GTM teams to deliver delightful, enterprise-ready experiencesWhat You Have5+ years (post-BS/MS) of backend-focused software engineering experience on platform and/or product-oriented teamsExperience working across the stack to ship user-facing features with measurable impactStrong knowledge of distributed systems, REST/gRPC APIs, databases, and scalable service architecturesFamiliarity with or interest in enterprise SaaS patterns, such as role-based access control (RBAC), feature flag systems, and third-party integrationsTrack record of shipping highly intuitive products, strong attention to detailExperience building backend platforms that can support multiple product linesStrong programming skills and general Computer Science knowledgeWhat We OfferBe part of building something special as a founding member of our Toronto teamStructured hybrid working arrangement: 3 days in our Toronto office, 2 days working from homeAdditional Information Location: Toronto, Ontario (Hybrid with flexibility)Work eligibility: Must have valid Canadian work rights; Harvey does not currently offer visa sponsorship for this roleWe are an AI company and we use AI to improve all of our processes, including in the recruitment process. Whilst we do use AI to help improve efficiency in our recruitment process, we do not rely on AI to make any automated decisions and ensure that a human reviews AI output.Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing interview-help@harvey.ai.

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PLEASE APPLY THROUGH THIS LINK: https://job-boards.greenhouse.io/speechify/jobs/5287658004  DO NOT APPLY BELOW The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its App of the Day. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, passionate about making product decisions, and has experience building great user experiences that delight users. We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount.  Our interview process involves several technical interviews and we aim to complete them within 1 week.  What You’ll Do Work alongside machine learning researchers, engineers, and product managers to bring our AI Voices to their customers for a diverse range of use cases Deploy and operate the core ML inference workloads for our AI Voices serving pipeline Introduce new techniques, tools, and architecture that improve the performance, latency, throughput, and efficiency of our deployed models Build tools to give us visibility into our bottlenecks and sources of instability and then design and implement solutions to address the highest priority issues An Ideal Candidate Should Have Experience shipping Python-based services Experience being responsible for the successful operation of a critical production service Experience with public cloud environments, GCP preferred Experience with Infrastructure such as Code, Docker, and containerized deployments. Preferred: Experience deploying high-availability applications on Kubernetes. Preferred: Experience deploying ML models to production What We Offer A dynamic environment where your contributions shape the company and its products A team that values innovation, intuition, and drive Autonomy, fostering focus and creativity The opportunity to have a significant impact in a revolutionary industry Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain Think you’re a good fit for this job?  Tell us more about yourself and why you're interested in the role when you apply. And don’t forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit?  Refer them!  Speechify is committed to a diverse and inclusive workplace.  Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

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About the team: Scale is growing rapidly, and joining the International Public Sector team is an opportunity to work on one of the most rapidly expanding teams at Scale. This team is responsible for generating, executing, and fostering Scale’s work outside of the United States. There are three core types of work involved: Building custom AI applications for government  Providing high-quality training data for research institutions building LLMs from scratch Partnerships, upskilling, and advisory About the role: As the Engagement Manager, you will be responsible for establishing deep customer and prospect relationships, proactively identifying opportunities where Scale can build custom AI applications  to improve lives for citizens and residents, overseeing the execution to ensure timelines are met and/or communicated effectively,  interfacing with premier research institutions to discuss how Scale can best support them, and partnering with organizations who are looking to train and educate people on how to use AI, AI safety, and more. You and your team will work closely with the business development and go-to-market team, the product  and engineering execution teams, and various customers and prospects to ensure success.  The ideal candidate has a nose for value and opportunity, is highly personable and can build relationships with all types of stakeholders, is an excellent communicator, is highly organized, and has a demonstrated track record of high-achievement. They are naturally empathetic and excel at building long-term relationships through diligent problem-solving and thoughtful, strategic discussions. The blend of customer engagement, operations, and business development to drive our most important outcomes makes this a unique and exciting role at the heart of one of Scale's most exciting growth businesses.  In the near term, the team will be based out of the Middle East and looking to meaningfully grow its presence in the region. You will: Drive the process of identifying high-value use cases for custom LLMs that Scale can build within government entities Partner with clients to understand their most pressing problems and brainstorm how Scale can best help Manage the long-term health of clients by identifying and preempting areas of risk or concern Be the main point-of-contact for clients if they have any questions, issues, or concerns and triage accordingly Collaborate with the operational and engineering execution teams to track delivery and timelines Review, track and improve operational performances and be obsessed with continuous improvement Brainstorm with premier research institutions building Arabic LLMs how Scale can best support and/or ideas they should consider testing Have proficiency in reading, writing, and speaking in Arabic  Ideally you'd have: 4+ years of total work experience, with experience in consulting or as a technical program management role in industry  Experience at a Big 3 Consulting Firm or a leading tech company A proven track record in B2B client facing roles and expanding client relationships Ability to understand APIs and the ML training lifecycle and build great relationships with technical customers Great cross-functional experience and collaborative ability Excellent verbal and written communications A track record of structured, analytics-driven problem solving A history of diligence and organization across multiple work streams An action-oriented mindset that balances creative problem solving with the scrappiness to ultimately deliver results Analytical, planning, and process improvement capability PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI.  Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.  We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision.  PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

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Who We Are HP IQ is HP’s new AI innovation lab. Combining startup agility with HP’s global scale, we’re building intelligent technologies that redefine how the world works, creates, and collaborates. We’re assembling a diverse, world-class team—engineers, designers, researchers, and product minds—focused on creating an intelligent ecosystem across HP’s portfolio. Together, we’re developing intuitive, adaptive solutions that spark creativity, boost productivity, and make collaboration seamless. We create breakthrough solutions that make complex tasks feel effortless, teamwork more natural, and ideas more impactful—always with a human-centric mindset. By embedding AI advancements into every HP product and service, we’re expanding what’s possible for individuals, organisations, and the future of work. Join us as we reinvent work, so people everywhere can do their best work.About The Role We are seeking a strategic, detail-oriented Senior Information Architect with UX design experience to shape the structure and flow of AI-powered products and systems. In this hybrid role, you will work at the intersection of AI model capabilities, user experience, and content architecture to ensure our intelligent systems are intuitive, scalable, and user-friendly. You’ll collaborate with cross-functional teams—product managers, engineers, and designers—to develop frameworks that support human-centered AI interactions. Your work will define how users navigate and make sense of complex data, natural language responses, and predictive features. What You Might Do Design intuitive information architectures for AI-driven interfaces and tools. Create sitemaps, user flows, taxonomies, metadata frameworks, and content models. Develop guidelines for content hierarchy and interaction design across conversational interfaces and generative AI features. Advocate for scalable design systems that support personalization, accessibility, and data privacy in AI-powered environments. Define and document structural standards, templates, and navigation strategies to ensure consistency across platforms. Analyze and refine user journey maps for complex, multi-modal AI experiences. Essential Qualifications  3+ years of experience in Information Architecture, UX Design, or Interaction Design. Experience working in the AI space. Proficiency with UX tools (Figma, Miro,, etc.) and IA methodologies. Deep understanding of UX heuristics, human-centered design, and cognitive load principles. Ability to visualize and communicate complex information structures clearly. Strong collaboration and communication skills—comfortable presenting to stakeholders and guiding cross-disciplinary teams. Preferred Skills Experience with conversational UI, voice UX, or LLM-based experiences. Familiarity with content design and structured content management. Background in psychology, cognitive science, or human-computer interaction (HCI). Experience working in agile and design-led development environments. Salary: $132,000- $187,000Compensation & Benefits (Full-Time Employees) The salary range for this role is listed above. Final salary offered is based upon multiple factors including individual job-related qualifications, education, experience, knowledge and skills. At HP IQ, we offer a competitive and comprehensive benefits package, including: Health insurance Dental insurance Vision insurance Long term/short term disability insurance Employee assistance program Flexible spending account Life insurance Generous time off policies, including;  4-12 weeks fully paid parental leave based on tenure 11 paid holidays Additional flexible paid vacation and sick leave (US benefits overview) Why HP IQ? HP IQ is HP’s new AI innovation lab, building the intelligence to empower humanity—reimagining how we work, create, and connect to shape the future of work. Innovative Work Help shape the future of intelligent computing and workplace transformation. Autonomy and Agility Work with the speed and focus of a startup, backed by HP’s scale. Meaningful Impact Build AI-powered solutions that help people and organisations thrive. Flexible Work Environment Freedom and flexibility to do your best work. Forward-Thinking Culture We learn fast, stay future-focused, and imagine what comes next—together. Equal Opportunity Employer (EEO) Statement HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence. If you’d like more information about HP’s EEO Policy or your EEO rights as an applicant under the law, please click here: Equal Employment Opportunity is the Law Equal Employment Opportunity is the Law – Supplement

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PLEASE APPLY THROUGH THIS LINK: https://job-boards.greenhouse.io/speechify/jobs/4510121004  DO NOT APPLY BELOW The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its App of the Day. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, passionate about making product decisions, and has experience building great user experiences that delight users. We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount.  Our interview process involves several technical interviews and we aim to complete them within 1 week.  What You’ll Do Researching and implementing state-of-the-art in NLP and TTS or CV with a focus on image generation Work on building the most human sounding AI speech model in the world An Ideal Candidate Should Have Experience with research and development in NLP or TTS or CV with a focus on image generation. Experience in ML Preferred: Experience deploying NLP or TTS models to production at a large scale Experience managing engineers and growing a research & development team Experience programming in Python: Tensorflow and PyTorch frameworks specifically. What We Offer A fast-growing environment where you can help shape the culture An entrepreneurial crew that supports risk, intuition, and hustle A hands-off approach so you can focus and do your best work The opportunity to make an impact in a transformative industry A competitive salary, a collegiate atmosphere, and a commitment to building a great asynchronous culture Think you’re a good fit for this job?  Tell us more about yourself and why you're interested in the role when you apply. And don’t forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit?  Refer them!  Speechify is committed to a diverse and inclusive workplace.  Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

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PLEASE APPLY THROUGH THIS LINK: https://job-boards.greenhouse.io/speechify/jobs/5287658004  DO NOT APPLY BELOW The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its App of the Day. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, passionate about making product decisions, and has experience building great user experiences that delight users. We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount.  Our interview process involves several technical interviews and we aim to complete them within 1 week.  What You’ll Do Work alongside machine learning researchers, engineers, and product managers to bring our AI Voices to their customers for a diverse range of use cases Deploy and operate the core ML inference workloads for our AI Voices serving pipeline Introduce new techniques, tools, and architecture that improve the performance, latency, throughput, and efficiency of our deployed models Build tools to give us visibility into our bottlenecks and sources of instability and then design and implement solutions to address the highest priority issues An Ideal Candidate Should Have Experience shipping Python-based services Experience being responsible for the successful operation of a critical production service Experience with public cloud environments, GCP preferred Experience with Infrastructure such as Code, Docker, and containerized deployments. Preferred: Experience deploying high-availability applications on Kubernetes. Preferred: Experience deploying ML models to production What We Offer A dynamic environment where your contributions shape the company and its products A team that values innovation, intuition, and drive Autonomy, fostering focus and creativity The opportunity to have a significant impact in a revolutionary industry Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain Think you’re a good fit for this job?  Tell us more about yourself and why you're interested in the role when you apply. And don’t forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit?  Refer them!  Speechify is committed to a diverse and inclusive workplace.  Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

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PLEASE APPLY THROUGH THIS LINK: https://job-boards.greenhouse.io/speechify/jobs/5568049004  DO NOT APPLY BELOW The mission of Speechify is to make sure that reading is never a barrier to learning. Over 30 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its App of the Day. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. Overview We’re looking for a fast, product-minded engineer to own and ship onboarding flows, in-app guidance, product documentation, “what’s new” surfaces, and integrated support that makes Speechify Studio intuitive from day one. You’ll operate at the intersection of UX, frontend, growth, and customer success. You’ll build React + Tailwind components, wire up tools like Intercom, Amplitude, and OpenAI APIs, and drive a seamless experience for both new and returning users. You’ll also connect analytics to our lifecycle and customer engagement tools—email, in-app messages, advertising—working closely with marketing to close the loop between product and growth. Expect to own both the interface and the language inside it, ship fast, and iterate constantly. What You’ll Do Build and maintain user onboarding, in-app tours, and changelogs Create and keep up-to-date tutorials and product documentation Integrate support tools (Intercom bots, contextual FAQs, help surfaces) Connect analytics (Amplitude) to lifecycle tools (email, ads, CRM) Use OpenAI APIs to power dynamic product tips and smart helpers Polish UI with Tailwind, always aiming for clarity, speed, and brand alignment An Ideal Candidate Should Have 5+ years with React, TypeScript, and Tailwind Excellent written English—you’re as confident writing copy as writing code Hands-on experience building onboarding, documentation, or growth loops Comfort with Amplitude, Intercom, OpenAI APIs, and email/CRM integration You ship fast, iterate constantly, and thrive with full ownership What We Offer A dynamic environment where your contributions shape the company and its products A team that values innovation, intuition, and drive Autonomy, fostering focus and creativity The opportunity to have a significant impact in a revolutionary industry Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain Why Join:  You’ll own critical surfaces that shape how users experience Speechify from day one. You’ll ship often, work across product and marketing, and play a key role in helping us scale user satisfaction, retention, and growth. Salary The United States base salary range for this full-time position is $140,000-$200,000 + bonus + equity depending on experience Think you’re a good fit for this job?  Tell us more about yourself and why you're interested in the role when you apply. And don’t forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit?  Refer them!  Speechify is committed to a diverse and inclusive workplace.  Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.