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The Software Applications Engineer will provide technical expertise and support to customers during the implementation and use of Shield AI enterprise software products. This role involves working closely with customers to understand their requirements and ensuring successful product integration for AI & Autonomy development. 

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Persona AI is developing and commercializing rugged, multi-purpose humanoid robots that perform real work. Persona’s founding team has a decades-long history in humanoid robotics, bionics, and product development delivering robust hardware that has touched the stars, worked miles below the surface of the ocean, roamed Disney Parks, and has even been featured on a US postage stamp. Our mission is focused squarely on shipping beautiful, reliable products at massive scale, while building a customer-focused team to achieve these aims.We're seeking a Software Engineering Intern to join our team in Houston, TX or Pensacola, FL and contribute to the software systems that bring our humanoid robots to life. You'll work on cutting-edge robotics software including perception, locomotion, manipulation, and machine learning systems.Based on team needs, you may work on things such as:Humanoid Locomotion: Develop algorithms for walking, balance, and bipedal movement control systemsPerception Systems: Work on computer vision, sensor fusion, and environmental understanding capabilitiesManipulation Software: Contribute to robotic arm and hand control systems for grasping and dexterous manipulationMachine Learning: Implement learning algorithms, training pipelines, and model optimization for robotic applicationsControl Systems: Develop real-time control software for actuators, sensors, and robot coordinationTesting & Validation: Create automated testing frameworks and validation systems for robot softwareWhat You'll LearnHands-on experience with humanoid robotics software developmentAdvanced robotics algorithms including SLAM, path planning, and control theoryMachine learning applications in robotics and autonomous systemsReal-time software development and embedded systems programmingCollaborative software development in a fast-paced startup environmentQualificationsCurrently pursuing Bachelor's or Master's degree in Computer Science, Robotics, Software Engineering, or related fieldGenuine curiosity and passion for robotics, AI, or autonomous systemsEagerness to learn and tackle complex technical challengesBasic programming experience in any language (Python, C++, Java, etc. from coursework or personal projects)Willingness to dive into new technologies and frameworksStrong problem-solving mindset with persistence when debugging codeCollaborative approach with excellent communication and teamwork abilitiesPreferred ExperienceAny coursework, personal projects, or hackathons involving programming or software developmentBasic exposure to robotics concepts, machine learning, or computer vision (through classes or personal interest)Familiarity with version control systems (Git) or software development practicesPrevious internship, co-op, or project experience in any technical fieldParticipation in coding clubs, programming competitions, or open-source projectsTechnical Areas of InterestPerception: Computer vision, sensor fusion, SLAMLocomotion: Bipedal walking, balance, gait planningManipulation: Arm control, grasping, dexterous manipulationMachine Learning: Reinforcement learning, computer vision, planningSystems: Real-time control, embedded software, robotics middlewareProgram DetailsFall Program: September 1 – November 30Application Deadline: July 15Final Selections by: July 31Location: Houston, TX or Pensacola, FL (onsite)Compensation: Competitive hourly ratePersona AI embraces diversity and equal opportunity in a serious way. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. We believe the more inclusive we are, the better our work will be.Location: Houston, TXWhy join Persona AI?You'll shape technology that's redefining the possibilities of robotics and human interaction.Work alongside passionate teammates who value diversity, creativity, and continuous learning.Enjoy full access to advanced prototyping tools, labs, and the freedom to experiment and innovate.We offer competitive compensation, excellent benefits, flexible work environment, and equity opportunities.Not sure if you meet all the listed qualifications? That’s okay! We encourage you to apply anyway. Our needs are constantly evolving, and we're always looking for talented individuals who can grow with us. You might be exactly who we’re looking for — even if it’s for a role we haven’t thought of yet. Persona AI embraces diversity and equal opportunity in a serious way. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. We believe the more inclusive we are, the better our work will be.

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Join our client's team as a Film and Video Editor - AI Trainer and utilize your industry expertise to shape the future of AI-driven editing. In this role, you will empower artificial intelligence to grasp the artistry of storytelling through editing, pacing, and post-production workflows, ensuring intelligent systems capture the nuance and creativity that human editors bring. Key Responsibilities:- Train AI models on film and video editing principles, focusing on storytelling, shot selection, and visual narratives.- Collaborate with technical teams to provide annotated examples, feedback, and guidance for editing tasks.- Curate and organize video assets, working alongside producers or directors to optimize workflows for final production.- Edit or synchronize soundtracks with visuals to achieve seamless audio-visual integration.- Evaluate and refine AI-generated edits, offering detailed written and verbal feedback to enhance learning.- Advocate for best practices in pacing, synchronization, and visual clarity within the AI editing process.- Maintain clear communication with cross-functional teams, ensuring alignment on project goals and deliverables. Qualifications:- Proven expertise in editing moving images on film, video, or digital media platforms.- Strong proficiency in industry-standard editing software (e.g., Adobe Premiere Pro, Final Cut Pro, DaVinci Resolve).- Exceptional written and verbal communication skills, with great attention to clarity and detail.- Experience working with producers or directors to achieve a creative vision in post-production.- Solid understanding of synchronization, pacing, and visual storytelling techniques.- Ability to provide structured, actionable feedback and effectively document processes.- Self-motivated, proactive, and comfortable working remotely in a collaborative setting. Preferred Qualifications:- Experience in training AI or working closely with machine learning teams in a creative context.- Background in teaching, creative mentorship, or editorial leadership roles.- Familiarity with workflows that integrate both sound and image editing (excluding specialized sound engineering technicians). About RYZ Labs:RYZ Labs is a startup studio built in 2021 by two lifelong entrepreneurs. The founders of RYZ have worked at some of the world's largest tech companies and some of the most iconic consumer brands. They have lived and worked in Argentina for many years and have decades of experience in Latam. What brought them together is the passion for the early phases of company creation and the idea of attracting the brightest talents in order to build industry-defining companies in a post-pandemic world. Our teams are remote and distributed throughout the US and Latam. They use the latest cutting-edge technologies in cloud computing to create applications that are scalable and resilient. We aim to provide diverse product solutions for different industries, planning to build a large number of startups in the upcoming years. At RYZ, you will find yourself working with autonomy and efficiency, owning every step of your development. We provide an environment of opportunities, learning, growth, expansion, and challenging projects. You will deepen your experience while sharing and learning from a team of great professionals and specialists. Our values and what to expect:- Customer First Mentality - every decision we make should be made through the lens of the customer.- Bias for Action - urgency is critical, expect that the timeline to get something done is accelerated.- Ownership -  step up if you see an opportunity to help, even if not your core responsibility. - Humility and Respect - be willing to learn, be vulnerable, and treat everyone who interacts with RYZ with respect.- Frugality - being frugal and cost-conscious helps us do more with less- Deliver Impact - get things done in the most efficient way. - Raise our Standards - always be looking to improve our processes, our team, and our expectations. The status quo is not good enough and never should be.

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Your impactHandshake is building the future of human data for AI.We partner directly with top AI labs to power large language model (LLM) training and evaluation with high-quality, expert-generated data. As AI models become more sophisticated, the demand for specialized human input continues to grow—and Handshake is uniquely positioned to meet it. We power career platforms at 92% of the top U.S. universities, giving us direct access to verified expert talent across a wide range of domains.Our AI team is rapidly building a new generation of human data products—from expert annotation platforms to AI interviewers and seamless payout infrastructure—all designed to accelerate research and improve model performance.We’ve assembled a world-class team from YC, Notion, Scale, Coinbase, Palantir, and more, and we’re working directly with many of the world’s leading AI research labs. This is a unique opportunity to join a fast-growing team shaping the future of AI through better data, better tools, and better systems—for experts, by experts.We’re seeking Research Scientists to join our Handshake AI Research team, where you’ll conduct pioneering research that pushes the boundaries of LLM understanding and evaluation. You’ll work at the frontiers of model comprehension, advanced evaluation methodologies, and the intersection of human and AI knowledge systems, with the goal of building the future of how we understand and measure AI capabilities.As a Research Scientist, you’ll collaborate closely with engineers and cross-functional teams to transform fundamental insights into breakthrough evaluation frameworks and understanding paradigms. Whether you’re developing novel approaches to probe model understanding, creating sophisticated benchmarks that reveal emergent capabilities, or establishing new methodologies for measuring AI-human knowledge alignment; you’ll help define how we comprehend and assess the next generation of AI systems.Location: San Francisco or New York CityYour roleDesign and conduct original research in LLM understanding, evaluation methodologies, and the dynamics of human-AI knowledge interactionDevelop novel evaluation frameworks and assessment techniques that reveal deep insights into model capabilities and limitationsCollaborate with engineers to transform research breakthroughs into scalable benchmarks and evaluation systemsPioneer new approaches to measuring model understanding, reasoning capabilities, and alignment with human knowledgeWrite high-quality code to support large-scale experimentation, evaluation, and knowledge assessment workflowsPublish findings in top-tier conferences and contribute to advancing the field’s understanding of AI capabilitiesWork with cross-functional teams to establish new standards for responsible AI evaluation and knowledge alignmentYour experiencePhD or equivalent research experience in machine learning, computer science, cognitive science, or a related field with focus on AI evaluation or understandingStrong background in LLM research, model evaluation methodologies, interpretability, or foundational AI assessment techniquesDemonstrated ability to independently lead post training and evaluation research projects from theoretical framework to empirical validationProficiency in Python and deep experience with PyTorch for large-scale model analysis and evaluationExperience designing and conducting experiments with large language models, benchmark development, or systematic model assessmentStrong publication record in post training, AI evaluation, model understanding, interpretability, or related areas that advance our comprehension of AI capabilitiesAbility to clearly communicate complex insights about model behavior, evaluation methodologies, and their implications for AI developmentNice to HaveExperience with RL, agent modeling, or AI alignmentFamiliarity with data-centric AI approaches, synthetic data generation, or human-in-the-loop systemsUnderstanding of the challenges in scaling foundation models (e.g., training stability, safety, inference efficiency)Contributions to open-source AI libraries or research toolingInterest in shaping the societal impact, deployment ethics, and governance of frontier modelsWhy Join UsThis is a rare opportunity to help define how the world’s top labs build, test, and evaluate cutting-edge AI systems. You’ll be working with a uniquely high-talent team, tapping into a network of 18 million students and 500K+ PhDs, and shaping foundational infrastructure at a critical moment in the field. If you're excited to build from first principles—and want your work to directly accelerate frontier AI—we'd love to talk.What we offerAt Handshake, we'll give you the tools to feel healthy, happy and secure.Benefits below apply to US employees in full-time positions.💰 Equity and ownership in a fast-growing company.🍼 16 Weeks of paid parental leave for birth giving parents & 10 weeks of paid parental leave for non-birth giving parents.💝 Comprehensive medical, dental, and vision policies including LGTBQ+ Coverage. We also provide resources for Mental Health Assistance, Employee Assistance Programs and counseling support.📚 Generous learning & development opportunities and an annual $2,000 stipend for you to grow your skills and career.💰 Financial coaching through Origin to help you through your financial journey.🛜 Monthly internet stipend and a brand new MacBook to allow you to do your best work.🚃 Monthly commuter stipend for you to expense your travel to the office (for office-based employees).🥗 Free lunch provided 5x a week in office.🏋️ Free gym access in San Francisco office building.🤝 Referral bonus to reward you when you bring great talent to Handshake.🧗🏼Team outings throughout the year to stay connected to each other.🏦 401k Match: Handshake offers a dollar-for-dollar match on 1% of deferred salary, up to a maximum of $1,200 per year.🏝 All full-time US-based Handshakers are eligible for our flexible time off policy to get out and see the world. In addition, we offer 13 standardized holidays, and 2 additional days of flexible holiday time off. Lastly, we have a Winter #ShakeBreak, a one-week period of Collective Time Off.💻 Handshake offers $500 home office stipend for you to spend during your first 3 months to create a productive and comfortable workspace at home.🍼 Family support: Parental leave coaching and support provided by Parentaly. We partner with Maven Clinic to provide a lifetime coverage up to $15K for expenses related to fertility and family forming!💰 Lifestyle Savings Account: We offer you an annual stipend of $500 to use for purchases such as fitness classes, gym memberships, work-from-home setup, and more.Looking for more? Explore our mission, values and comprehensive US benefits at joinhandshake.com/careers.Handshake is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or reasonable accommodation, please let your recruiter know during initial communications.

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Seeking a Program Manager to lead a Direct Commercial Sale program for an international customer which will deliver transformative unmanned aerial vehicle (UAV) systems.  

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The Chief Engineer at Shield AI is responsible for solving complex technical challenges in deploying advanced autonomy solutions on Unmanned Aircraft Systems (UAS). As the chief authority on system architecture, design, development, risk mitigation, and product quality the Chief Engineer ensures the successful integration of Hivemind Autonomy across a range of aircraft, from small UAS to large autonomous collaborative platforms. This role is part of the Hivemind Solutions organization and leads a team of team of engineers to deliver cutting-edge autonomous capabilities for business-to-business and defense contracts. The ideal candidate has defense industry experience as a Chief Engineer and a proven track record of leading technical teams to develop and deploy autonomous systems.

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About Mistral  At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work. We are a dynamic, collaborative team passionate about AI and its potential to transform society.Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers. Role Summary  • You'll be the catalyst driving the adoption and scaling of cutting-edge AI solutions. It's a purely individual contributor role.• You'll work at the intersection of innovation and impact, empowering businesses to leverage GenAI for transformative results.• You'll guide companies in integrating GenAI solutions, making AI a tangible part of their operations.• You'll drive the scaling of GenAI technologies, ensuring seamless transitions from concept to production.• You'll partner closely with our product and science teams to deliver state-of-the-art AI solutions tailored to client needs.• You'll tackle complex business problems with AI, delivering measurable outcomes and strategic advantages.• You'll contribute to the evolution of AI technology, influencing how businesses operate and compete in the modern world.• You will travel approximately 30 to 60% of your time.• Your role will involve spending time at the client’s office. What you will do Delivering value to the customers• Execute on effective technical discovery to understand potential clients' needs, challenges, and desired outcomes in collaboration with Account Executives.• Contribute to effectively identifying, qualifying, and disqualifying opportunities where Mistral solutions can unlock the most value for the customer. • On the project, Influence evaluation criteria and gain control of evaluations and the evaluation process• Create a strategic vision for the customer on the project, based on a deep understanding of their strategy, desired positive business outcomes, and required capabilities.   Product deployment• Guide and support customers in deploying our models and products into their infrastructure.• Work closely with customers to deploy relevant solutions according to their specific requirements.• Regularly liaise with the product and technical teams to relay feedback and suggest improvements.• Develop custom features for customers as needed. Customer Onboarding• Responsible for onboarding customers on our products, providing guidance on deployment and integration• Ensuring the best production setup from the low-level GPU stack, up to infrastructure, back-end and front-end interfaces Project management• Define and track success metrics of the POC being rolled out at customers.• Operate as a program leader, leveraging internal Mistral teams (Applied Engineers) as well as teams on the customer side to make sure project moves forward. About you • You hold a degree in a relevant scientific field (e.g., Computer Science, Data Science, Engineering, etc.)• You have experience working as a DevOps, Site Reliability Engineer or Cloud Solution Architect• You're experienced with deploying and managing AI-based products in production environments• You are fluent in Python• You have experience with containerization technologies (Docker, Kubernetes), as well as CI/CD pipelines and automated deployment tools • You have a deep understanding of cloud platforms (AWS, Azure, GCP) and on-premise infrastructure• You have been involved in a customer facing role• You have strong project & stakeholder management skills• You have foundational knowledge in AI/ML/Data science• You have ability to connect technology and business value • You are result driven and resilient• Being familiar with sales qualification concepts is a strong plus We are looking for adaptable team players who excel in a fast-paced environment and are ready to support pre-sales as well as deployment tasks, contributing to our shared goals and success. Hiring Process (optional) • Talent Acquisition screening call• 30min Hiring Manager Interview• 45min Business Acumen Interview • 60min System Design• Panel (Home Prep & Restitution)• 30min Value Talk• Reference check Benefits France 💰 Competitive cash salary and equity🥕 Daily lunch vouchers : Swile meal vouchers with 10,83€ per worked day, incl 60% offered by company🥎 Sport : Enjoy discounted access to gyms and fitness studios through our Wellpass partnership🚴 Transportation : Monthly contribution to a mobility pass via Betterway🧑‍⚕️ Health : Full health insurance for you and your family🍼 Parental : Generous parental leave policy🌎 Visa sponsorship🤝 Coaching: we offer BetterUp coaching on a voluntary basis

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Gauss Labs is looking for a passionate and talented AI Engineer for developing cutting-edge Industrial AI solutions that will normalize the standard of AI for manufacturing. We are working with the world's best manufacturing customers while accessing the vast amount of real data from their manufacturing processes. We apply state-of-the-art AI technologies to the data and develop unprecedented AI/ML solutions to transform manufacturing to the next level.As an AI Engineer, you will be responsible for translating cutting-edge AI and machine learning research into robust, scalable software solutions. Your work will ensure the seamless integration of models into production environments and contribute to the broader success of AI initiatives across the company. You will develop AI software by working with seasoned Applied Scientists, Software Engineers, and Program Managers located in Palo Alto, California, USA and Seoul, South Korea.

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About Mistral  At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work. We are a dynamic, collaborative team passionate about AI and its potential to transform society.Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers. Role Summary  We are building one of Europe’s largest AI infrastructure offering that will provide our customers a private and integrated stack in every form factor they may need — from bare-metal servers to fully-managed PaaS. As a DevOps Engineer, you will join a fast growing team to help building, scaling and automating our computing management stack. You will be responsible for building fault-tolerant and reliable infrastructure to support both our internal processes and customer platform. Location: France 🇫🇷 and UK 🇬🇧 as primary location, or remote under conditions (see below)Reporting line: Software Architect, HPC What you will do As a DevOps Engineer in the HPC services team, your primary responsibility will be to engineer robust and dependable infrastructure that supports both our internal operations and customer-facing platforms. Key Responsibilities: • Design, build and maintain scalable, highly available and fault-tolerant infrastructures• Build, scale and automate the full lifecycle of compute nodes, from bootstrapping to decommissioning• Design and develop new workflows and tooling to improve to the reliability, availability and performance of our systems (automation scripts, API-based features, web apps, dashboards, etc.)• Drive continuous improvement in infrastructure automation, deployment, and orchestration (CI/CD, containerization, orchestration, monitoring, logging and alerting systems...)• Operate systems and troubleshoot issues in production environments (interrupts, on-call responses, users admin, data extraction, infrastructure scaling, etc.)• Participate occasionally in on-call rotations to respond to incidents and perform root cause analysis to prevent future occurrences• Collaborate closely with R&D to streamline build systems, scale testing workflows and make sure our inference and model training environments are always highly available and seamlessly replicable across several HPC clusters• Collaborate with the security team to ensure infrastructure adheres to best security practices and compliance requirements About you • 7+ years of experience in a DevOps/SRE role• Exposure to highly available distributed systems and site reliability issues in critical environments (issue root cause analysis, in-production troubleshooting, on-call rotations...)• Proficiency in scripting languages (Python, Go, Bash...) and knowledge of software development best practices• Hands-on experience with CI/CD, containerization and orchestration tools (Docker, Kubernetes..)• Proven experience troubleshooting complex K8s cluster issues and performing system upgrades• Familiarity with infrastructure-as-code tools like Terraform or CloudFormation• Knowledge of monitoring, logging, alerting and observability tools (Prometheus, Grafana, ELK Stack, Datadog...)• Experience working against reliability KPIs (observability, alerting, SLAs)• Strong understanding of networking, security, and system administration concepts• Excellent problem-solving and communication skills• Self-motivated and able to work well in a fast-paced startup environment Now, it would be ideal if you also had experience with:• HPC workload managers (Slurm)• Distributed storage systems (Lustre, Ceph)

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About P-1 AI:We are building an engineering AGI. We founded P-1 AI with the conviction that the greatest impact of artificial intelligence will be on the built world—helping mankind conquer nature and bend it to our will. Our first product is Archie, an AI engineer capable of quantitative and spatial reasoning over physical product domains that performs at the level of an entry-level design engineer. We aim to put an Archie on every engineering team at every industrial company on earth.Our founding team includes the top minds in deep learning, model-based engineering, and industries that are our customers. We just closed a $23 million seed round led by Radical Ventures that includes a number of other AI and industrial luminaries (from OpenAI, DeepMind, etc.).About the Role:We’re looking for an experienced engineer to take ownership of LLM training operations across our applied research team. Your focus will be on making large-scale GPU training run reliably, efficiently, and fast on a dedicated mid-size GPU cluster and possibly on cloud platforms as well.You’ll work closely with researchers and ML engineers developing new models and agentic systems, ensuring their experiments scale smoothly across multi-node GPU clusters. From debugging NCCL deadlocks to optimizing FSDP configs, you’ll be the go-to person for training infrastructure and performance.What You’ll Do:Own the training pipeline for large-scale LLM fine-tuning and post-training workflowsConfigure, launch, monitor, and debug multi-node distributed training jobs using FSDP, DeepSpeed, or custom wrappersContribute to upstream and internal forks of training frameworks like TorchTune, TRL, and Hugging Face TransformersTune training parameters, memory footprints, and sharding strategies for optimal throughputWork closely with infra and systems teams to maintain the health and utilization of our GPU clusters (e.g., Infiniband, NCCL, Slurm, Kubernetes)Implement features or fixes to unblock novel use cases in our LLM training stack About you:3+ years working with large-scale ML systems or training pipelinesDeep familiarity with PyTorch, especially distributed training via FSDP, DeepSpeed, or DDPComfortable navigating training libraries like TorchTune, Accelerate, or Trainer APIsPractical experience with multi-node GPU training, including profiling, debugging, and optimizing jobsUnderstanding of low-level components like NCCL, Infiniband, CUDA memory, and model partitioning strategiesYou enjoy bridging research and engineering—making messy ideas actually run on hardware Nice to Have:Experience maintaining Slurm, Ray, or Kubernetes clustersPast contributions to open-source ML training frameworksExposure to model scaling laws, checkpointing formats (e.g., HF sharded safetensors vs. distcp), or mixed precision trainingFamiliarity with on-policy reinforcement learning setups with inference (policy rollouts) as part of the training loop, such as GRPO, PPO, or A2CExperience working at a startup Interview process:Initial screening - Head of Talent (30 mins)Hiring manager interview - Head of AI (45 mins)Technical Interview - AI Chief Scientist and/or Head of AI (45 mins)Culture fit / Q&A (maybe in person) - with co-founder & CEO (45 mins)

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We are looking for a highly skilled Member of Technical Staff to lead the development of cutting-edge workflows. You will build autonomous systems that can navigate complex scientific tasks entirely through natural language conversation. In your role, you will architect and deploy reasoning systems that democratise access to breakthrough synthetic biology tools, enabling researchers worldwide to leverage our frontier models through intuitive chat interfaces.Who we are:At Latent Labs, we are building frontier models that learn the fundamentals of biology. We pursue ambitious goals with curiosity and are committed to scientific excellence. Before building Latent Labs, our team co-developed DeepMind's Nobel-prize winning AlphaFold, invented latent diffusion, and built pioneering lab data management systems as well as high throughput protein screening platforms. At Latent Labs you will be working with some of the brightest minds in generative AI and biology.Our team is committed to interdisciplinary exchange, continuous learning and collaboration. Team offsites help us foster a culture of trust across our London and San Francisco sites.We're looking for innovators passionate about tackling complex challenges and maximising positive global impact. Join us on our moonshot mission.Who You Are:You are a strong software engineer with deep experience in Python, API design, and distributed systems architecture.You are an expert in LLM orchestration. You have hands-on experience with LLM APIs (OpenAI, Anthropic, etc.) and orchestration frameworks like LangChain, LlamaIndex, or have built custom agent frameworks from scratch.You understand intelligent information retrieval. You have experience with RAG (Retrieval-Augmented Generation) systems, vector databases, and embedding models for knowledge extraction.You can architect complex workflows. You have experience with workflow orchestration tools (Airflow, Prefect, Temporal) or have built custom pipeline systems for multi-step autonomous processes.You bridge science and engineering. You are comfortable with scientific computing libraries (NumPy, SciPy, pandas) and understand scientific literature formats, databases (PubMed, arXiv), and academic data processing.What Sets You Apart:You have a research background. You are a former academic researcher who transitioned to industry ML/AI roles, or a research software engineer with deep ML/AI experience.You're passionate about scientific automation. You have experience with document processing, OCR, text extraction from academic papers, and scientific data formats.You understand the research ecosystem. You have worked in academic or pharmaceutical research environments and understand research workflows and publishing processes.You're a multimodal specialist. You have a background in natural language processing, particularly for scientific text processing and citation networks.Your Responsibilities:Build autonomous scientific agents that can execute complex research workflows through natural language interaction—from protein structure analysis to experimental design.Architect end-to-end reasoning systems that integrate our platform capabilities with intelligent decision-making, enabling users to accomplish sophisticated tasks through simple chat interfaces.Develop knowledge discovery pipelines that can autonomously mine scientific literature, identify undrugged disease pathways, and propose novel therapeutic targets.Create scientific content at scale by building agents that can design experiments, generate hypotheses, and produce research-grade articles and blog posts.Pioneer autonomous lab workflows by developing agents that can design complex biological systems (like protein-based logic gates) and orchestrate their validation.Collaborate with scientists to understand research pain points and translate them into intelligent automation solutions.Publish and evangelise breakthrough applications of agentic workflows in synthetic biology through articles, blog posts, and scientific demonstrations.Apply:We offer strongly competitive compensation and benefits packages, including:Private health insurancePension/401(K) contributionsGenerous leave policies (including gender neutral parental leave)Hybrid workingTravel opportunities and moreWe also offer a stimulating work environment, and the opportunity to shape the future of synthetic biology through the application of breakthrough generative models.We welcome applicants from all backgrounds and we are committed to building a team that represents a variety of backgrounds, perspectives, and skills.

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ABOUT US:At Brisk Teaching, we aim to lighten the workload for teachers with AI powered tools that take care of administrative tasks so that teachers can spend more time doing what they love - teaching. Brisk is an AI-powered Chrome extension that simplifies teaching by integrating seamlessly with tools teachers already use like Google Classroom, Docs, Slides, YouTube, and articles. In seconds, teachers can create instructional materials, provide feedback, and evaluate student work - right from where they're already working.We are a diverse group of technologists, educators, and parents, all united by a passion to improve the lives of educators. With over a decade of collective teaching experience and roles at leading education technology companies like the Chan Zuckerberg Institute, Seesaw Learning, PBS Kids, Clever, NoRedInk, Panorama Education, GoGuardian, and Edulastic, we deeply understand what educators need.THE OPPORTUNITY:We are looking for a Senior or Staff Frontend-Leaning Full-Stack Engineer to help us build and scale the next generation of Brisk's AI-powered tools. You will play a critical role in building our web application, contributing both to the user-facing features (frontend) and the server-side logic (backend). As part of a small team, you’ll have the opportunity to drive impactful features, influence the direction of our platform, and contribute to the development of educational tools that have a direct impact on the teaching community.YOU WILL:Product Development: Contribute to both the design and development of Brisk’s platform, ensuring high-quality software that meets the needs of teachers and students.Frontend Development: Lead the development of rich, responsive, and intuitive user interfaces using React and TypeScript. You should understand how React works, how to manage application state, and how to efficiently use its tools for rendering and updating UI. You'll be responsible for creating seamless interactions, delightful experiences, and ensuring that our UI is both functional and aesthetically pleasing.Backend Development: Build and maintain scalable backend services using Python, Flask, and other relevant frameworks to support the frontend features. You’ll also be tasked with working on APIs that integrate with the frontend, ensuring clear and efficient communication between client and server.User Experience: Develop a keen attention to detail when it comes to user experience, making sure that interactions are not only functional but delightful. You will contribute to making sure the user interface is intuitive, performant, and easy to use.Performance Optimization: Optimize the performance of the platform by understanding the browser's behavior, how it renders elements, and optimizing CSS, layout models, and positioning. You'll be responsible for ensuring our app is performant across all devices and browsers.Cross-Functional Collaboration: Work closely with other engineers, the founding team, and designers to iterate and ship new features and improvements.Cloud Infrastructure: Help manage our AWS infrastructure to ensure reliability, security, and scalability of our services.Technical Leadership: As a senior engineer, you'll contribute to defining and enforcing best engineering practices, conducting code reviews, and mentoring other team members in both frontend and full-stack development.YOU HAVE:React Expertise: Solid understanding of how React works, including component lifecycles, hooks, and state management. You should be comfortable building complex UI and managing application state effectively.CSS and Layout Skills: Deep understanding of CSS, layout models (Flexbox, Grid), and the positioning model. You'll need to ensure that the UI is visually appealing and works well across different screen sizes and devices.Performance and Accessibility Focus: Prioritization of performance and accessibility in every aspect of development. This includes ensuring that the application loads quickly, interactions are smooth, and the app is usable by people with a range of abilities.API Knowledge: Experience in building and consuming APIs to support the frontend and backend integration. You’ll need to understand how APIs work and be comfortable making asynchronous requests from the frontend.User-Centered Mindset: A passion for building delightful user experiences. You'll need to constantly think about the user journey, interactions, and how you can make the product both enjoyable and efficient for educators to use.Attention to Detail: Pride on your attention to detail—whether it's fixing small UI issues, optimizing performance, or ensuring an interaction is as intuitive as possible.Cloud and Backend Experience: Proficiency in Python and experience with backend frameworks like Flask (or similar), as well as cloud infrastructure knowledge, particularly AWS.Experience: At least 5 years of professional software engineering experience, with a balanced focus on both frontend and backend development. Strong knowledge of state management, browser internals, and how the CSS rendering pipeline works will be critical.Team Collaboration: A proven track record of working collaboratively with other engineers and cross-functional teams to deliver high-quality software.WHAT WE OFFER:Competitive salaryStock options, vested over 4 yearsComprehensive benefits package, including health, dental, and vision insurance.Opportunities for professional growth and development.Collaborate with your teammates two times a week via our hybrid model in either our San Francisco or New York City offices.A supportive and collaborative work environment.The chance to make a meaningful impact on education through innovative technology.Equal Employment Opportunity & DiversityAt Brisk, we believe that diverse perspectives make better teams and stronger products. We are an equal opportunity employer and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, age, national origin, veteran status, disability, or any other legally protected status.

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About the RoleAnyscale is seeking a Senior Product Manager to lead Ray Data, our scalable data processing library for ML and AI workloads.This is a uniquely challenging role that requires balancing open source growth with commercial differentiation - driving rapid adoption in the open source Ray Data ecosystem while building compelling proprietary features for RayTurbo Data, our high-performance commercial engine.You'll own the entire Ray Data product roadmap in a competitive landscape, working closely with the engineering team, the field team, enterprise customers, and the open source community. Success requires:Deeply ingraining yourself into the end-user experience to understand the nature of the product and its gaps and tradeoffsWorking closely with customers and open source users to draw the subtle line between growth and commercializationStrategic thinking about which parts of the ML/Data lifecycle to focus on, identifying opportunities where our architectural strengths create the most value.Thinking deeply about and clearly articulating the product strategy to stakeholdersKey ResponsibilitiesDrive the Ray Data product roadmap - Balance open source Ray Data feature development with RayTurbo Data commercial differentiation to ensure that both Ray Data becomes the open source standard for AI data processing and RayTurbo remains sufficiently compelling.Drive open source Ray Data adoption - Focus on community growth, developer experience, and ecosystem integrationsMarket Positioning & Enablement - Work closely with Product Marketing on strategic market positioning, field enablement, and competitive analysis to maintain differentiation.Customer engagement - Drive key customer engagements assisting sales and field engineering teams.Required Qualifications3+ years of product management experience with technical productsStrong technical background in distributed systems, ML infrastructure, or data processingExperience working with developer and enterprise audiencesStrategic thinking with ability to balance competing priorities and stakeholder needsLocated in or willing to relocate to the Bay AreaPreferred QualificationsPrior experience with open source products and commercial monetization strategiesBackground in ML tooling, data infrastructure, or developer toolsAbout Ray DataRay Data is a scalable data processing library built on Ray Core that provides flexible and performant APIs for distributed data processing. It enables offline batch inference and data preprocessing for ML training, scaling data processing to large clusters while maintaining ease of use for developers.

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Join Our Mission to Revolutionize Healthcare Thoughtful is pioneering a new approach to automation for all healthcare providers! Our AI-powered Revenue Cycle Automation platform enables the healthcare industry to automate and improve its core business operations. We're looking for an Exceptional Full Stack Engineer for our Core Platform Engineering team. As a Sr. Engineer, you’ll be a technical anchor across the stack - shaping everything from scalable backend services to responsive, intuitive frontends. You’ll lead by example, building systems that are reliable, maintainable, and thoughtfully engineered for scale - avoiding premature complexity while leaving room for growth. Your work will directly support both internal teams and customer-facing products. Learn more about our Warrior culture. Join us to transform how leading healthcare companies operate. Your Role: Lead End-to-End Builds Own projects across the full development lifecycle - from greenfield prototypes to scaling out mature systems. You’ll take loosely defined problems and return well-architected, production-ready solutions. Design for Clarity and Change Build backend services and user interfaces that are modular, testable, and ready to evolve. You prioritize simplicity, knowing where abstraction helps - and where it just adds noise. Drive Pragmatic Scalability Design for growth without overengineering. You’ll apply best practices in schema design, API modeling, and state management with a clear sense of tradeoffs and long-term maintainability. Collaborate Closely Partner with product, design, and other stakeholders to understand real-world needs and shape the right technical solutions. You'll operate autonomously but never in isolation. Continuously Level Up Bring curiosity and humility. We’re a senior team that shares learnings freely and pushes each other to do our best work. Your Qualifications: Frontend Deep experience building complex, interactive UIs using React, Vue, or Angular. Strong grasp of state management patterns and reactive paradigms (e.g. refs, signals, RxJS, or similar). Proficiency in TypeScript and JavaScript, with clean, maintainable component architecture. Familiarity with frontend performance profiling, accessibility, and design system integration. Comfortable working with designers and PMs to turn wireframes and mockups into polished interfaces. Backend Proficiency in Python and TypeScript, with experience across modern backend frameworks (e.g. FastAPI, Next.js, Express). Skilled in API design, including versioning, pagination, and error modeling. Solid understanding of authentication and authorization protocols (OAuth, JWT, etc.). Experience with relational (PostgreSQL, MySQL) and NoSQL (MongoDB, DynamoDB) databases, including schema design, indexing strategies, and performance tuning. Familiarity with AWS and infrastructure concepts like CI/CD pipelines, containerization, and cloud deployments. Invested in setting up logging, monitoring, and alerting from day one. Builds with testability in mind - unit tests, integration tests, and end-to-end test frameworks. What Sets You Apart: You know how to ship fast without creating tech debt landmines. You balance product intuition with a strong technical foundation. You default to clarity and modularity, especially when designing for unknowns. You’ve worked at early-stage startups or launched new systems from scratch. You value peer collaboration and open sharing of technical learnings. You care just as much about why you're building something as how you build it.   Why Thoughtful? Competitive compensation Equity participation: Employee Stock Options. Health benefits: Comprehensive medical, dental, and vision insurance. Time off: Generous leave policies and paid company holidays. Required Technical Exercise - submissions without this component will not be considered: Please spend no more than 20 minutes completing a quick coding exercise by following the instructions here.  California Salary Range $170,000—$220,000 USD

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Who are we?Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.Join us on our mission and shape the future!Why the Cohere EPM role? As our Generative Machine Learning (GenML) organization continues to grow and tackle more ambitious ML programs, we are looking for an Engineering Program Manager (EPM) to join the team!At Cohere, EPMs are pivotal to our success, being seen as operational experts specializing in cross-functional efforts. Great EPMs at Cohere are well-rounded, executing with precision at the tactical level, while partnering with senior leaders and shaping the big picture at a strategic level, and the opportunities are endless in growing the scale and impact of their work. Cohere’s EPMs would often be described as organized, execution-oriented, pragmatic, and adaptable to the needs of the company and the programs they lead.As a reward for the depth and breadth of expertize that you bring to the table, you will get to work alongside some of the most talented AI researchers and industry experts in the world on building cutting edge AI technology. No day will be the same as the one before, and the dynamic high growth environment will be absolutely perfect for anyone excited about solving novel problems, bringing structure to oftentimes chaotic and fast-paced environments, and ambitious about scaling their own impact and growth alongside the company!Please note: While we are remote-first and accept candidates from all over the world, we are highly prioritizing hiring for people who are in the Eastern Time (ET) timezone, or 1-2 hours within British Standard Time (BST).As an Engineering Program Manager, you will: Establish, improve, and scale foundational team-level and program-level processes that allow the Generative Modeling teams to execute better and fasterPartner directly with Gen ML modeling leadership & Members of Technical Staff on efforts to design, train and improve our core generative modelsRun cross-functional, oftentimes company-wide programs, collaborating and coordinating with cross-functional teams including Product, Engineering, Legal, Design etc. on delivering generative models on time and within budget & scopeMap out dependencies and risks, and ensure that cross-functional execution across the program runs smoothly, communicating status with non-technical and technical stakeholders and senior managementCoordinate across internal partner teams like Data, Evaluation, Safety, Model Efficiency and Model Serving on cross-team planning and execution to deliver Generative modelsTroubleshoot cross-team challenges and build dependable partnerships both within and outside the Generative ML organizationBoth own and enable a useful communication flow of priorities, ideas, and knowledge throughout all layers of the tech organizationRespond quickly to program-level changes, clarifying new scope and marshaling resources in response to evolving priorities You may be a good fit if you: Have 3-5 years as an Engineering Program Manager or Technical Program Manager AND 2+ years of experience working directly on AI/ML-powered products. Bonus points for working directly on foundation models.Have in-depth knowledge of how machine learning works, particularly when it comes to NLP and Large Language Models (LLMs). Bonus points for experience with Multimodal AI.Have experience with working in a chaotic, fast paced, low structure environment. We need an EPM who is pragmatic, can roll up their sleeves when needed, and can function at the tactical and strategic level to do whatever it takes to make Cohere’s models succeedHave personal hands-on understanding of the unique challenges of managing projects and programs in the AI/ML development space (be prepared for us to ask you about your experiences in this area)(optional, but preferred) Have experience with any ML-adjacent projects and programs, in araeas such as Data & Evaluation, Capacity Planning, Model Serving / Efficiency etc.(optional, but preferred) Have technical experience in a hands-on capacity. We don’t necessarily need someone with hands on experience training models or a former engineer, but you need to feel comfortable sitting in the same rooms with some of the best researchers in the world, working on highly complex, cutting edge ML projects/programsIf some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you want to work really hard on a glorious mission with teammates that want the same thing, Cohere is the place for you.We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.Full-Time Employees at Cohere enjoy these Perks:🤝 An open and inclusive culture and work environment 🧑‍💻 Work closely with a team on the cutting edge of AI research 🍽 Weekly lunch stipend, in-office lunches & snacks🦷 Full health and dental benefits, including a separate budget to take care of your mental health 🐣 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement🏙 Remote-flexible, offices in Toronto, New York, San Francisco and London and co-working stipend✈️ 6 weeks of vacationNote: This post is co-authored by both Cohere humans and Cohere technology.

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Who are we?Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.Join us on our mission and shape the future!Why this role?Evaluation is critical to making progress in scaling intelligence. As models continue to become superhuman in many real-world use cases, we must continue to develop new techniques to accurately measure our models' performance on frontier capabilities. In this role, you are responsible for creating next-generation evaluation methods and scalable infrastructure to measure LLM progress.As a Senior Research Engineer, Model Evaluation, you will:Develop evaluation benchmarks, datasets, and environments for measuring the bleeding edge of model capabilitiesConduct research to push the state-of-the-art in LLM evaluation methods, including training LLM judges; improving evaluation efficiency; and scalably building high-quality datasetsBuild scalable tools for investigating and understanding evaluation results that are used by all members of technical staff at Cohere, as well as leadership and our CEOLearn from and work with the best researchers and engineers in the fieldYou may be a good fit if:You enjoy pushing the limits of what LLMs are capable of, and you have built high-quality evaluation resources to measure those capabilities (datasets, simulators, environments, etc.)You have a track record of developing new methods and/or data to evaluate LLMs, e.g. publications at top-tier conferences, popular benchmarks, etc.You have deep experience building with and around LLMs, and you have built tools for analyzing and understanding their performanceYou have strong software engineering skillsIf some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you want to work really hard on a glorious mission with teammates that want the same thing, Cohere is the place for you.We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.Full-Time Employees at Cohere enjoy these Perks:🤝 An open and inclusive culture and work environment 🧑‍💻 Work closely with a team on the cutting edge of AI research 🍽 Weekly lunch stipend, in-office lunches & snacks🦷 Full health and dental benefits, including a separate budget to take care of your mental health 🐣 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement🏙 Remote-flexible, offices in Toronto, New York, San Francisco and London and co-working stipend✈️ 6 weeks of vacationNote: This post is co-authored by both Cohere humans and Cohere technology.

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About the TeamSecurity is at the foundation of OpenAI’s mission to ensure that artificial general intelligence benefits all of humanity. The Security team protects OpenAI’s technology, people, and products. We are technical in what we build but are operational in how we do our work, and are committed to supporting all products and research at OpenAI. Our Security team tenets include: prioritizing for impact, enabling researchers, preparing for future transformative technologies, and engaging a robust security culture. About the RoleWe are seeking a highly experienced and strategic cybersecurity leader to join our team to lead our data center security efforts. This person will drive the overall vision and execution of cyber defense and security architecture efforts for OpenAI’s rapidly expanding datacenter footprint, spanning multiple, diverse environments. You will be directly responsible for leading a multidisciplinary team to ensure the security of these ambitious infrastructure programs, including key projects already in flight.This role is open to remote employees, or relocation assistance is available to one of our OpenAI offices in San Francisco, Seattle, or New York City.In this role, you will:Spearhead the overall security vision, architecture, execution, and sustained operations to protect data center infrastructure across a global footprint.Recruit, mentor, and lead a diverse, distributed, and multidisciplinary team of security professionals across multiple timezones to securely enable mission impact.Integrate hardware‑rooted trust, segmented enclaves, side‑channel mitigations, and insider‑risk countermeasures tuned for persistent, well‑resourced adversaries.Drive security design reviews, threat modeling, supply‑chain risk assessments, secure provisioning, runtime monitoring, incident response, and structured decommissioning.Deeply collaborate with engineering, operations, and security teams to define, implement, enforce, and evolve security best practices, including network segmentation, physical security, identity management, and access control policies.Engage with suppliers and partners to evaluate and mitigate risks associated with third-party hardware, firmware, and software dependencies.Prepare and deliver executive-level updates on risk posture, compliance, incident status, and program progress.Ensure our facilities meet the strictest compliance requirements.Continually evolve the security of our data centers alongside advances in cybersecurity controls, adversary activity, and commensurate with increased sophistication and risks of our frontier models.You might thrive in this role if you have:15+ years in security, including 10+ years leading large-scale infrastructure or datacenter programs with global scope.Proven track record protecting hyperscale, colocation, or hybrid environments against sophisticated adversaries, including insider threats and close-access attacks.Demonstrated success recruiting, developing, and retaining multidisciplinary security teams across time zones and cultures.Deep knowledge of security design and operations, including host-level hardening, network segmentation, IAM/PAM, secure provisioning, firmware and bare-metal security, and governance frameworks.Strong familiarity with control frameworks (e.g., NIST, ISO 27001, SOC 2) and experience driving compliance in regulated environments.About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you.About NICE and MPower Proactive AI Agents NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the 100 largest corporations in the world, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NICE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions. Innovation efforts in cloud-native open platforms, artificial intelligence and analytics is driving rapid growth of our software products with reported revenues of USD 1.7 billion in FY 2020.   MPower Proactive AI Agents has recently become a part of the NICE CXOne suite and is a market leader in proactive conversational AI.    MPower Proactive AI Agents is a cloud-hosted conversation platform. Proactive and omni-channel, MPower Proactive AI Agents leverages artificial intelligence, natural language understanding and machine learning so that global brands can transform their customer journeys. MPower Proactive AI Agents disrupts the traditional call-centres; just a fraction of the cost to deploy and run, but with three times the customer engagement rate of its manual call-centre predecessors. This means that as well as being lower cost, MPower Proactive AI Agents can drive corporate KPIs harder and faster, at the same time as improving the customer experience.  About the role As a rapidly growing business, we are building a professional services team here in Manila. In this new role, you will become a MPower Proactive AI Agents expert and advocate, delivering high-quality implementations, analysis, support, and many more to clients across the globe.   Working initially with both the EU and US teams you will provide implementation and support to our new and existing clients, then when MPower Proactive AI Agents expands into APAC, the Manila team will also lead the implementation, quality assurance, support, and delivery for local clients. Key Responsibilities Become an expert in MPower Proactive AI Agents solution design consultancy and implementation  Work with global teams to build, test and support customer journeys and conversations from specification using our internal tooling  Learn clients’ business processes to define and document requirements for automated transactions of proactive customer journeys  Document End-to-End Application Integration Specifications  Configure, perform E2E testing, debug, and deploy the SaaS platform based on client requirements  Define and implement MPower Proactive AI Agents customer journey optimization strategies by utilizing data analytics in conjunction with a deep understanding of the MPower Proactive AI Agents transactional data model  Write queries in SQL and build reports and dashboards  Write and debug code snippets (in JavaScript)  Design and test APIs  Assist with training of new implementation specialists  Provide on-call support to global customers  Basic Qualifications:  4+ years experience in an implementation / professional services / consulting role  Graduated with a degree in a Computer Science / Business Analytics / Data Analytics / STEM type degree  Knowledge of basic programming languages and data structures  Knowledge of data analysis and SQL  A keen problem solver with a passion for learning  Ability to successfully work in a team-oriented, highly collaborative environment  Amenable to work shifting schedules   Preferred Qualifications:  If you don't have these but are willing to learn, please apply:  Technical expertise in data structure extraction and summarization  Experience with JavaScript, C#, SQL, HTML, CSS, Python  Experience with integration tools  Application knowledge of Excel, Tableau (or similar BI tool)  Requisition ID: 7852 Reporting into: Manager, Professional Services Role Type: Individual Contributor  About NiCE NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions. Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries. NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.  

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About xAI xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers and researchers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.About the Team The Enterprise Agents Engineering Team at xAI is a team of builders solving the hardest problems in applied AI: integrating with messy systems, orchestrating complex workflows, and harnessing AI to transform business operations. We build full-stack solutions with ownership of end-to-end product execution from ideation to deployment, collaborating closely with our research team to incorporate cutting-edge AI advancements into robust and reliable user-centric solutions. Through an iterative development process, we work hand-in-hand with customers to gather feedback, refine features, and evolve products to address real-world challenges. About the Role An ideal candidate meets the following requirements: Expert knowledge of TypeScript and React, Expert knowledge of Tailwind, Expert knowledge of best practices regarding performance, accessibility, and frontend security. Additionally, any of the following qualifications may help a candidate stand out: Experience in advanced web technologies such as WebGL, WebSockets, WebAssembly, web workers, and PWAs, Experience in UI and UX design, Experience in implementing sophisticated CSS animations Experience with Kubernetes Track record of delivering user-facing software at scale. Interview Process After submitting your application, the team reviews your CV and statement of exceptional work. If your application passes this stage, you will be invited to a 15 minute interview (“phone interview”) during which a member of our team will ask some basic technical questions. If you clear the initial phone interview, you will enter the main process, which consists of at least two technical interviews: Coding interview in TypeScript: Write a small app in React HTML/CSS interview: Given a screenshot of a UI, implement it Annual Salary Range $180,000 - $440,000 USDxAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

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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 Ad Cloud  Serving Services Team At Appier's Ad Cloud Serving Services Team, we build and maintain the critical systems that power the core of Appier's advertising technology. These systems handle massive, high-concurrency, real-time requests, ensuring the stability, low latency, and high performance of our ad delivery. Our SRE professionals are crucial in guaranteeing these services remain reliable under extreme loads, continuously enhancing product availability and performance through innovation and automation. Responsibilities Lead the design and development of scalable, high-performance, and reliable backend services for real-time ad recommendation, data serving, and core ad tech infrastructure. Drive technical roadmap and ownership for sizable projects, ensuring the delivery of robust and efficient solutions within the Ad Cloud ecosystem. Optimize critical system components for latency, throughput, and resource utilization, including database interactions (e.g., MongoDB sharding, ClickHouse optimizations) and network architecture. Enhance system observability, incident management, and operational excellence by implementing comprehensive monitoring, alerting (e.g., Grafana, Prometheus), and refining production SOPs. Collaborate closely with product managers and scientists to translate business requirements into technical designs and ensure seamless integration. Champion code quality through rigorous code reviews and adherence to best practices in system design and implementation. Mentor and guide junior engineers, fostering their growth in backend development best practices, distributed systems, and agile methodologies. Actively participate in on-call rotation within the Backend team to maintain product reliability and scalability for critical serving services. Contribute to a culture of continuous improvement, initiating team-level technical discussions, process enhancements, and knowledge sharing. About You [Minimum Qualifications] 3-5+ 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: Go, Python. 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) 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 implementing robust monitoring and alerting. 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 refactor complex systems, improve performance metrics (e.g., latency, error rate, CPU usage), and optimize resource utilization. Familiarity with A/B testing frameworks and supporting customizable configurations for model iteration. Hands-on experience with deploying and serving machine learning models in production environments. Exposure to ad-tech or recommendation systems is a plus. #LI-SW1