AI Creative & Design Jobs

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About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping large enterprises understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability. Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems. Responsibilities: Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams & stakeholders to drive customer success Support customers building with both the Claude API and Claude for Work Create and deliver compelling technical content tailored to different audiences. You will need to be able to spread the gamut from technical deep dives for engineering & development teams up to business value focused conversations with executives Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases Identify common integration patterns and contribute insights back to our Product and Engineering teams Travel occasionally to customer sites for workshops, technical deep dives, and relationship building Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns You may be a good fit if you have: 5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager Experience working with enterprise customers, navigating complex buying cycles involving multiple stakeholders Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders Experience designing scalable cloud architectures and integrating with enterprise systems Comfortable with python Familiarity with common LLM frameworks and tools or a background in machine learning or data science Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities A love of teaching, mentoring, and helping others succeed Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems Deadline to apply: None. Applications will be reviewed on a rolling basis. The expected salary range for this position is:Annual Salary:£105,000—£160,000 GBPLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process

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About Brain Co.Brain Co. is at the leading edge of productionizing artificial intelligence for real world problems, propelling advancements and shaping the future with pioneering work. Our mission is to ensure that the transformative powers and automation of AI are applied to real world problems in various governments where manual work is still dominant. We are seeking visionary AI/ML Engineers with experience in GenAI and ML modeling, where you will convert groundbreaking research into real-world applications that revolutionize industries, boost human creativity, and address complex challenges.About The RoleAs an AI/ML Engineer at Brain Co., you will play a crucial role in deploying state-of-the-art models to automate various real world problems in sectors such as healthcare, government and energy. Part of the role will involve turning research breakthroughs into practical solutions for various nation states. This role is your opportunity to make a significant impact by making AI technology both accessible and influential.In This Role, You Will:Innovate and Deploy: Design and deploy advanced LLM models to tackle real-world problems, particularly in automating complex, manual processes in a range of real-world verticals.Optimize and Scale: Build scalable data pipelines, optimize models for performance and accuracy, and prepare them for production. Monitor and maintain deployed models to ensure they continue delivering value across various governments worldwide.Make a Difference: Engage in projects including but not limited to optimizing the world's most advanced energy production systems, modernizing core government workflows, or improving patient outcomes in advanced public healthcare systems. Your work will directly impact how AI benefits individuals, businesses, and society at large.Engage with Leaders: interact directly with government officials in various countries and apply the first of its kind AI solutions while working alongside experienced ex. Founders, AI researchers, and software engineers to understand complex business challenges and deliver AI-powered solutions. Join a dynamic team where ideas are exchanged freely and creativity flourishes. You will be able to wear many hats: software building, product management, sales, interpersonal skills.Learn and Lead: Keep abreast of the latest developments in machine learning and AI. Participate in code reviews, share knowledge, and set an example with high-quality engineering practices.You Might Thrive In This Role If You:Hold a BSc/Master’s/PhD degree in Computer Science, Machine Learning, Data Science, or a related field.Have experience building GenAI-focused applications with the latest technologies, including but not limited to Agents, reasoning models and RAG.Have at least a high level familiarity with the architecture and operation of large language models.Have personally implemented models in common ML frameworks such as PyTorch, Jax or TensorFlow.Possess a strong foundation in data structures, algorithms, and software engineering principles.Exhibit excellent problem-solving and analytical skills, with a proactive approach to challenges.Can work collaboratively with cross-functional teams.Thrive in fast-paced environments where priorities or deadlines may compete.Are eager to own problems end-to-end and willing to acquire any necessary knowledge to get the job done.BenefitsCompetitive salary plus equityDaily lunchesCommuter benefits401(k)Medical, Dental and VisionUnlimited PTOCompensationThe salary range for this role is $155,000 to $265,500 for this position. Actual salaries will vary depending on factors including but not limited to location, experience, and performance. The range listed is just one component of Brain Co.'s total compensation package for employees. Other benefits may include stock options, an unlimited paid time off policy, and coverage on medical, vision and dental insurance.

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About Us:We are establishing the first distributed Al infrastructure dedicated to personalized Al. The evolving needs of a data-driven society are demanding scalability and flexibility. We believe that the future of Al is distributed and enables real-time data processing at the edge, closer to where data is generated. We are building a future where a company's data and IP remains private and it's possible to bring large models directly to consumer hardware without removing information from the model.Role Overview: As a Staff R&D Software Engineer specializing in Simulation, you will lead the development of cutting-edge photo-realistic training environments for robotics applications and synthetic data generation pipelines for computer vision model training. You'll architect and build advanced simulation systems using XR/AR/VR technologies, physics engines, and optimized rendering pipelines that bridge the gap between virtual training and real-world robotics deployment. This role combines deep technical expertise in game engines, computer graphics, and simulation with research-driven innovation to create breakthrough solutions in robotics simulation. Key Responsibilities:Design and architect photo-realistic simulation environments for robotics training scenarios using Unreal Engine, Unity 3D, or similar platformsDevelop advanced rendering pipelines optimized for synthetic data generation and real-time robotics simulationBuild robust physics simulation frameworks that accurately model real-world robotics use cases and sensor interactionsCreate scalable synthetic data generation systems for training computer vision models with domain randomization techniquesImplement cutting-edge rendering techniques including ray tracing, PBR materials, and advanced lighting systemsOptimize simulation performance across diverse hardware platforms and deployment environmentsResearch and prototype novel simulation methodologies for robotics training applicationsCollaborate with robotics and ML/CV teams to define simulation requirements and validate training effectivenessMentor junior engineers and contribute to technical standards and best practices across the R&D teamPresent research findings and technical solutions to leadership and external stakeholdersStay current with academic research in simulation, computer graphics, and robotics to drive innovation Qualifications & Skills:7+ years of professional software development experience with 4+ years specializing in simulation, game engines, or XR technologiesExpert-level proficiency in C++ and/or C# with demonstrated experience in performance optimization and debuggingExtensive hands-on experience with Unreal Engine and/or, Unity 3D including custom shader development and rendering pipeline optimizationStrong foundation in 3D mathematics, linear algebra, computer graphics fundamentals, and physics simulationProven track record developing and optimizing VR/AR/XR applications across multiple platformsExperience with robotics simulation frameworks (Webots, Gazebo, Isaac Sim, AirSim, or similar) or willingness to quickly learnUnderstanding of synthetic data generation techniques and computer vision model training requirementsStrong software engineering practices including version control, code reviews, and collaborative developmentExcellent problem-solving skills and ability to work independently on complex technical challengesStrong communication skills with ability to explain complex technical concepts to diverse audiencesPreferred Qualifications:Startup experience with ability to thrive in fast-paced, resource-constrained environmentsPrevious work in robotics, autonomous systems, manufacturing, or industrial automationExperience with advanced rendering techniques such as ray tracing, global illumination, and GPU programming (CUDA, compute shaders)Knowledge of cloud computing platforms and distributed simulation systemsExperience with procedural content generation and algorithmic asset creationBackground with AR/VR hardware platforms (HTC Vive, Oculus, HoloLens, etc.)Published research, patents, or open-source contributions in simulation, computer graphics, or roboticsExperience with digital twins or industrial simulation applicationsLeadership experience mentoring technical teams and driving cross-functional collaborationFamiliarity with robotics kinematics, dynamics, and sensor modeling principlesWe at webAI are committed to living out the core values we have put in place as the foundation on which we operate as a team. We seek individuals who exemplify the following:Truth - Emphasizing transparency and honesty in every interaction and decision.Ownership - Taking full responsibility for one’s actions and decisions, demonstrating commitment to the success of our clients. Tenacity - Persisting in the face of challenges and setbacks, continually striving for excellence and improvement.Humility - Maintaining a respectful and learning-oriented mindset, acknowledging the strengths and contributions of others.Benefits:Competitive salary and performance-based incentives.Comprehensive health, dental, and vision benefits package.$200/mos Health and Wellness Stipend$400/year Continuing Education CreditFlexible work weekFree parking, for in-office employeesUnlimited PTOParental, Bereavement LeaveSupplemental Life InsurancewebAI is an Equal Opportunity Employer and does not discriminate against any employee or applicant on the basis of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We adhere to these principles in all aspects of employment, including recruitment, hiring, training, compensation, promotion, benefits, social and recreational programs, and discipline. In addition, it is the policy of webAI to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works.

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Jasper is the leading AI marketing platform, enabling the world's most innovative companies to reimagine their end-to-end marketing workflows and drive higher ROI through increased brand consistency, efficiency, and personalization at scale. Jasper has been recognized as "one of the Top 15 Most Innovative AI Companies of 2024" by Fast Company and is trusted by nearly 20% of the Fortune 500 – including Prudential, Ulta Beauty, and Wayfair. Founded in 2021, Jasper is a remote-first organization with team members across the US, France, and Australia.About The RoleWe are looking for a visionary VP of Revenue Operations to lead and optimize our revenue operations across sales, marketing, and customer success. In this role, you’ll collaborate with our executive team to align go-to-market strategies with operational execution, ensuring seamless processes that drive sustainable growth in the fast-evolving AI landscape.As a strategic and results-driven entrepreneurial leader, you’ll design scalable systems, enhance existing processes, and cultivate a high-performing, data-driven culture. This role is ideal for someone who excels in fast-paced environments, is passionate about leveraging AI to transform traditional methods, and inspires operational excellence while fostering alignment across teams.This fully remote role reports to the Chief Revenue Officer and is open to candidates located anywhere in the continental US. What you will do at JasperBuild and execute a data-driven revenue operations strategy across our GTM organization.Collaborate across departments to ensure seamless communication, alignment, and execution of revenue-generating initiatives.Design and refine pipeline models to effectively manage opportunities through the funnel, providing actionable insights to the sales leadership team.Implement robust systems that can seamlessly scale with Jasper’s rapid growth trajectory, setting new operational benchmarks.Own sales and partner forecasting models, delivering accurate predictions that inform Jasper’s business decisions.Provide executive-level reporting on pipeline health, forecast accuracy, and growth opportunities, turning complex data into actionable insights.Develop and execute sales-led pricing strategies that drive customer value and maximize revenue growth for Jasper.Oversee the creation and implementation of impactful sales compensation frameworks that align with company objectives, while motivating teams around the right behaviors.Build, lead, and mentor a team of revenue operations professionals.Stay ahead of emerging technologies, applying AI to solve challenges in pipeline management, forecasting, and revenue visualization.What you will bring to Jasper 15+ years of experience in revenue operations or related disciplines, with at least 5 years in leadership roles at high-growth startups or SaaS organizations.Demonstrated success in building scalable revenue systems, including experience with sales pipeline optimization, forecasting, consumption pricing, and compensation models.A self-starter who thrives in dynamic environments, making thoughtful, data-driven decisions with speed and precision.Hands-on, resourceful, and passionate about solving complex challenges in real-time.A deep knowledge of SaaS business models and familiarity with sales and marketing metrics, CRMs (Salesforce, HubSpot), and analytics tools.An eagerness to explore how AI-driven solutions can redefine traditional approaches and drive efficiencies in revenue operations.Exceptional communication skills, with the ability to engage and influence diverse stakeholders across technical, financial, and operational roles.Strong leadership background that promotes inclusivity, inspires teams, and drives consistent performance improvements.Deep expertise in data analysis, with a proven ability to translate raw numbers into actionable strategies that impact revenue performance.Compensation Range At Jasper, we believe in pay transparency and are committed to providing our employees and candidates with access to information about our compensation practices. The expected base salary range offered for this role is $280,000-$310,000. Compensation may vary based on relevant experience, skills, competencies, and certifications.Benefits & PerksComprehensive Health, Dental, and Vision coverage beginning on the first day for employees and their families401(k) program with up to 2% company matchingEquity grant participationFlexible PTO with a FlexExperience budget ($900 annually) to help you make the most of your time away from workFlexWellness program ($1,800 annually) to help support your personal health goalsGenerous budget for home office set up $1,500 annual learning and development stipend 16 weeks of paid parental leaveOur goal is to be a diverse workforce that is representative at all job levels as we know the more inclusive we are, the better our product will be. We are committed to celebrating and supporting our differences and that diversity is essential to innovation and makes us better able to serve our customers. We hire people of all levels and backgrounds who are excited to learn and develop their skills. We are an equal opportunity employer. Applicants will not be discriminated against because of race, color, creed, sex, sexual orientation, gender identity or expression, age, religion, national origin, citizenship status, disability, ancestry, marital status, veteran status, medical condition, or any protected category prohibited by local, state or federal laws.By submitting this application, you acknowledge that you have reviewed and agree to Jasper's CCPA Notice to Candidates, available at legal.jasper.ai/#ccpa.

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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 AI search team aims to make Grok the best AI system for research, information retrieval and gathering real-time information from various sources. The team is responsible for curating high quality data and hard problems for RL training, making evaluations to benchmark AI systems and capture product issues, and building tools to unleash the capabilities of reasoning models. About the Role In this role you might: Build evaluation benchmarks to the next generation of search/research agents. Innovate and curate challenging RL data with scalable synthetic/human data pipeline Innovate data, verification and RL algorithms to build the best open-ended research system. Build various tools to help model exploring seamlessly on the internet. Exceptional candidates may have: Experience with LLM and information retrieval evaluation data curation Experiences with human/synthetic data generation for RL Experience with AI search or Agentic search systems Strong engineering abilities Location The role is based in Palo Alto. Our team usually works from the office 5 days a week but allow work-from-home days when required. Candidates are expected to be located near Palo Alto or open to relocation. 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 questions. If you clear the initial phone interview, you will enter the main process, which consists of four technical interviews: Coding assessment in a language of your choice. Researcher technical sessions (2): These sessions will be testing your ability to formulate, design and solve concrete problems in real world with LLM. It can be research or engineering, depending on background/experience. Meet the Team: Present your past exceptional work and your vision with xAI to a small audience. Our goal is to finish the main process within one week. All interviews will be conducted via Google Meet. Annual Salary Range $180,000 - $440,000 USDxAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

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Who we are:Our mission is to make the internet safer and more enjoyable for everyone. We combine state of the art AI technology and human judgment for best in class content detection, harm mitigation and safety monitoring. We are a VC-backed startup, founded by senior Google, YouTube, TikTok and Reddit executives, working with some of the world’s largest online platforms, and fast-moving startups. If you are looking for an opportunity to apply AI technology to real-world business use cases at a significant scale, and an opportunity to shape the future of how we can safely enjoy user generated online content, we’d love to hear from you.About the Role: We are seeking a Backend / Systems Engineer to help build a flexible, robust, and high-performance backend architecture that serves diverse use cases across customers and product lines. Your work will be critical in enabling our AI engineers, analysts, and data scientists to rapidly prototype, iterate, and deploy workflows, services and data pipelines that leverage large language models (LLMs).This is a high-impact role that blends backend engineering with thoughtful system design to accelerate product development and real-world impact.What You'll Do:Design and build extensible backend systems that support flexible configurations for different customers and content types.Develop infrastructure that interfaces cleanly with LLMs—enabling prompt engineering, context injection, and modular evaluation workflows.Build tooling and platforms that enable fast iteration by AI engineers and analysts, including declarative pipelines, parameterized jobs, and reproducible experiments.Prioritize ease of deployment, integration, and testing—both for internal teams and external partners.Collaborate closely with product, data, and policy teams to translate nuanced safety needs into scalable, maintainable software systems.What We’re Looking For:3+ years of experience in backend systems or infrastructure engineering.Strong software engineering skills in Python, Go, Java, or equivalent.Experience designing scalable APIs, backend systems and data pipelines.Familiarity with LLM-based systems (e.g., prompt management, context formatting, batch inference, prompt-tuning workflows).Strong understanding of cloud-native infrastructure (e.g., AWS, Lambda, Kubernetes, CI/CD pipelines).Passion for building systems that unlock velocity and experimentation for cross-functional teams.Nice to Have:Background in trust & safety, or content moderation.Familiarity with Django, Snowflake, React, Step functions.Experience with LLM-Ops and DevOps.Why Join Us?Work with a group of renown industry leaders in AI and Online Safety to shape the future of the industry.Ample opportunity and support for growth, as a technical individual contributor, or manager. Apply AI technology to real-world business use cases at a significant scale, with blue chip customersWork as part of a team where you can know everyone, but don’t have to do everyone’s job.Competitive compensation, comprehensive benefits, and hybrid in-office policy.Pay range is specific to the U.S. – Bay Area; compensation may differ by region.The pay range for this role is:150,000.00 - 250,000.00 USD per year (Palo Alto)

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About the roleWe’re looking for a talented and creative Software Engineer to join our Safety Engineering team at Character.AI! In this role, you will be at the forefront of designing, developing, and scaling robust backend systems and leveraging applied machine learning to tackle critical integrity and safety challenges. You will be architecting and implementing innovative solutions in a key role in addressing the unique safety challenges that come with human-to-AI interaction—bringing your technical expertise to the table as we define industry best practices in this emerging space. This is a high-impact role where you will provide technical leadership, drive innovation, and contribute to the core of our platform's trustworthiness. What you'll doArchitect & Build: Design, develop, and maintain highly scalable, resilient, and performant backend systems that power our integrity and safety features.Lead Complex Solutions: Lead the technical design and implementation of sophisticated backend solutions for detecting, preventing, and mitigating a wide array of integrity risks. This includes traditional issues (e.g., content classification, spam, etc.) as well as emerging threats related to Generative AI (e.g., misuse of generative models, generation of harmful or biased content, etc).Apply Machine Learning: Conceptualize, develop, deploy, and iterate on machine learning models and algorithms to address complex integrity challenges. This includes areas like content classification (including AI-generated content), anomaly detection, risk scoring, behavior analysis, and developing safeguards for Generative AI systems (e.g., robust content filtering, bias mitigation techniques, and output monitoring).Cross-Functional Collaboration: Work closely with product managers, data scientists, AI researchers, security teams, and operations to define requirements, design innovative solutions, and deliver impactful integrity systems, especially for Generative AI products.Technical Strategy & Roadmap: Drive the long-term technical vision and roadmap for backend integrity systems and applied ML capabilities, with a keen eye on addressing Generative AI safety concerns with an alignment with company objectives.Mentorship & Leadership: Provide technical guidance and mentorship to other engineers on the team and across the organization, fostering a culture of engineering excellence.Champion Best Practices: Advocate for and implement best practices in software engineering, distributed systems design, data engineering, and the full lifecycle of ML model development, including specific considerations for the safety and ethics of Generative AI.System Optimization: Continuously analyze and improve the performance, scalability, reliability, and cost-effectiveness of existing integrity platforms and ML models.Stay Current: Keep abreast of emerging threats, new technologies, and advancements in backend engineering, distributed systems, the application of machine learning to trust and safety, and the evolving landscape of Generative AI safety research and mitigation techniques. Who you are8+ years of professional software engineering experience, with a strong emphasis on backend systems development.Bachelor's, Master's, or PhD degree in Computer Science, Engineering, or a related technical field.Proven track record of designing, building, and operating complex, large-scale, and highly available distributed systems.Expertise in one or more backend programming languages such as Python, Go, Java, or C++.Hands-on experience in applying machine learning techniques to solve real-world problems, specifically with demonstrable experience in addressing integrity, trust, or safety challenges.Solid understanding of the machine learning lifecycle, including data gathering and cleaning, feature engineering, model selection, training, validation, A/B testing, deployment, and operational monitoring.Exceptional problem-solving abilities, with a knack for tackling ambiguous and technically challenging problems.Proven ability to work in a fast-paced development environment and deliver timely results.Strong communication, interpersonal, and leadership skills, with the ability to articulate complex technical concepts to diverse audiences. You will be a great fit if:You care deeply about Trust & Safety and see it as a value-add to the business Prior experience in a dedicated Trust & Safety, Integrity, or Risk engineering team.Contributions to open-source projects or publications in relevant fields.Experience leading large, cross-cutting technical projects.About Character.AICharacter.AI empowers people to connect, learn and tell stories through interactive entertainment. Over 20 million people visit Character.AI every month, using our technology to supercharge their creativity and imagination. Our platform lets users engage with tens of millions of characters, enjoy unlimited conversations, and embark on infinite adventures. In just two years, we achieved unicorn status and were honored as Google Play's AI App of the Year—a testament to our innovative technology and visionary approach. Join us and be a part of establishing this new entertainment paradigm while shaping the future of Consumer AI! At Character, we value diversity and welcome applicants from all backgrounds. As an equal opportunity employer, we firmly uphold a non-discrimination policy based on race, religion, national origin, gender, sexual orientation, age, veteran status, or disability. Your unique perspectives are vital to our success.

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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 Reasoning Efficiency team at xAI focuses on pushing the boundaries of cost-efficient intelligence.   About the Role In this role you will: Build the next generation of Multimodal Grok that excels at reasoning, tool usage to solve challenging problems Work across the LLM stack (pre-training, SFT, RL) to deliver the strongest model for end users Exceptional candidates may have: Experience or publications in (multimodal) large language models (data / training algorithm / architecture) Exceptional engineering skills to iterate quickly on the data processing and training pipelines Strong understanding of large language model and data Deep knowledge of reinforcement learning techniques Location We hire engineers in Palo Alto. Our team usually works from the office 5 days a week but allow work-from-home days when required. Candidates are expected to be located near Palo Alto or open to relocation. 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 questions. If you clear the initial phone interview, you will enter the main process, which consists of four technical interviews: Coding assessment in a language of your choice. 2x post-training technical sessions: These sessions will be testing your ability to formulate, design and solve concrete problems in training data for post-training. Meet the Team: Present your past exceptional work and your vision with xAI to a small audience. Our goal is to finish the main process within one week. All interviews will be conducted via Google Meet. Annual Salary Range $180,000 - $440,000 USDxAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

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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 AI Expert team strives to make AI models excellent in scientific and professional domains, such as math, engineering, biology, medicine, and finance. This team will build AI experts in an end-to-end manner, including building model evaluation, curating training data, and developing training recipes. About the Role In this role you might: Innovate next-generation RL algorithms to unleash AI abilities in open-ended science research and real-world professional work. Build evaluation for AI models in expert domains Build RL data infrastructure and generate training data. Exceptional candidates may have: Strong engineering abilities Experience with data collection and data generation for LLMs Optional: Experiences with cross-domain experiences Location We hire engineers in Palo Alto. Our team usually works from the office 5 days a week but allow work-from-home days when required. Candidates are expected to be located near Palo Alto or open to relocation. 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 questions. If you clear the initial phone interview, you will enter the main process, which consists of four technical interviews: Coding assessment in a language of your choice. 2x post-training technical sessions: These sessions will be testing your ability to formulate, design and solve concrete problems in training data for post-training. Meet the Team: Present your past exceptional work and your vision with xAI to a small audience. Our goal is to finish the main process within one week. All interviews will be conducted via Google Meet. Annual Salary Range $180,000 - $440,000 USDxAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

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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 Grok Code Team at xAI focuses on pushing the boundaries of Software Engineering where AI is in the front and centre of the full developer loop. About the Role In this role you will: You will build the best in class Coding Agents focussing on building the best in class Software Engineering stack which is AI first and AI native. Work across the LLM stack (reasoning RL, product building, dataset generation, evals) to deliver the best product experience for users. Work closely with the research team and help drive model development and feedback loops to optimise both the model behavior and user experience and satisfaction Exceptional candidates may have: Experience in developer tooling with AI first mindset for the changing world. Exceptional engineering skills to iterate quickly on the data processing and product features Strong understanding of large language model and how to best leverage them for AI assisted software development Deep knowledge and “taste” in software developer tooling Location We hire engineers in Palo Alto. Our team usually works from the office 5 days a week but allow work-from-home days when required. Candidates are expected to be located near Palo Alto or open to relocation. 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 questions. If you clear the initial phone interview, you will enter the main process, which consists of four technical interviews: Coding assessment in a language of your choice. 2x post-training technical sessions: These sessions will be testing your ability to formulate, design and solve concrete problems in training data for post-training. Meet the Team: Present your past exceptional work and your vision with xAI to a small audience. Our goal is to finish the main process within one week. All interviews will be conducted via Google Meet. Annual Salary Range $180,000 - $440,000 USDxAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

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Figure is an AI robotics company based in San Jose, CA, developing a general-purpose humanoid robot to address labor shortages and perform undesirable or unsafe tasks. We require 5 days/week in-office collaboration. Join our team as a Battery Design Validation Test Engineer develop and test advanced battery packs for humanoid robots, working closely with cross-functional teams to ensure performance, safety, and reliability. Responsibilities Design and develop test plans and validation assessments for humanoid battery systems and components. Validate battery performance, lifespan, safety, and reliability under various conditions (e.g., temperature, humidity, vibration, shock). Create test documentation, including protocols, DUT specifications, equipment specs, and instrumentation details. Conduct mechanical, thermal, and electrical tests on battery cells and packs, both in-house and with external labs. Design and modify test fixtures and instrumentation for battery testing. Analyze test data and provide detailed reports and insights. Identify and communicate battery failure modes to designers, validation, and manufacturing engineers. Collaborate with vendors to source, install, and commission test equipment. Instrument battery packs with sensors (e.g., thermocouples, pressure sensors, strain gauges, accelerometers). Manage data acquisition, logging, and post-processing. Work with technicians to facilitate instrumentation, build and test execution. Write scripts for manual and automated testing using cyclers and chambers. Develop and enforce strict safety protocols during testing. Maintain lab equipment, perform calibrations, and troubleshooting issues. Requirements Minimum 2 years of experience in battery or related industrial fields. Expertise in high-voltage battery testing, including cycling and electrical/thermal performance, particularly with Li-ion chemistry. Proficiency in instrumenting battery packs and managing data acquisition systems. Strong skills in writing/validating test scripts, analyzing data, and presenting results. Experience with programming/scripting languages (e.g., MATLAB, Simulink, Python, SQL, LabVIEW). Bachelor’s or Master’s degree in Mechanical, Electrical, Materials Science, or a related field. Willingness to travel up to ~35% domestically and/or internationally. Bonus Qualifications Knowledge of battery management systems. Familiarity with CAN bus communication systems. Understanding of battery safety and compliance standards (e.g., UL, IEC, SAE). Expertise in measuring cell properties and electrochemical performance. Experience developing and executing battery safety and abuse testing including multi-cell thermal runaway, short-circuit, puncture and drop. Experience with cell teardown, CT scans, and other lithium-ion battery analysis tools. Proficiency in 3D CAD (e.g., CATIA V6) for designing test fixtures. The US base salary range for this full-time position is between $120,000 - $160,000 annually. 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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About ElevenLabs At ElevenLabs, we are pioneering voice technology with our cutting-edge research and products. We launched in January 2023 and have since reached over 1 million users globally and have partnered with the world’s biggest names (see customer stories). We closed our Series-C funding at a 3.3B valuation at the beginning of this year and are backed by the leading names in tech and AI (a16z, ICONIQ, NEA, Sequoia, NFDG, Salesforce, and many others).We are at an exciting phase of our growth and innovation and are looking for ambitious people to help us further push the boundaries of voice AI. This is a rare chance to be an early member of a company on the rise. If this excites you, we want to meet you! Who we areA global team of passionate and innovative individuals united by curiosity and a shared goal: to be the first choice for AI audio solutions. Together, we are shaping a new technology and market from the ground up. We innovate quickly and take pride in getting things right, from the big picture initiatives to the details that keep us moving smoothly every day. We work with high autonomy and accountability where the best idea wins at any time and from anyone. About the roleWe care deeply about SEO. It drives 1+ million users per month to our site, millions of dollars in revenue, and we have an authority score of 69 on SEMRush. However, we're in a huge market that's expanding rapidly, and we've only scratched the surface of what's possible. Now is a critical time for us to scale our content creation efforts to capture more of this opportunity.We're hiring an SEO Content Creator to establish ElevenLabs as the thought leader in AI Audio through strategic, SEO-optimized content creation. You'll create compelling blog posts, use cases, case studies, and landing page copy that not only educates and engages our diverse user base but also drives organic search visibility and traffic growth.Each new product we launch or foundational model we release unlocks thousands more content opportunities. For example, with our Text to Speech models, we need content covering user journeys, use case deep-dives, and educational blog posts that rank for competitive keywords. Now expand this to Voice Changers, Dubbing, Speech to Text, and many more products on our roadmap.You'll work closely with our SEO & Growth team to understand keyword opportunities, search intent, and content gaps. This role combines excellent writing skills with SEO strategy to create content that performs both for users and search engines.Who you areWe're looking for exceptional individuals who combine technical excellence with ethical awareness, who are excited by hard problems and motivated by human impact. You’ll thrive with us if you: Are passionate about audio AI driven by a desire to make content universally accessible and breaking the frontiers of new tech.  Are a highly motivated and driven individual with a strong work ethic. Our team is aware of this critical moment of audio AI evolution and is committed to going the extra mile to lead. Are analytical, efficient, and strive on solving complex challenges with a first principles mindset. Consistently strive for excellence, delivering high-quality work quickly and exceeding expectations.Take initiative and work autonomously from day one, prioritizing learning and contribution while leaving ego aside.What you bringMust have:Excellent copywriting skills with a portfolio demonstrating content that has driven measurable SEO resultsStrong understanding of SEO fundamentals: keyword research, search intent, on-page optimization, and content strategyExperience creating content that ranks for competitive keywords and drives organic traffic growthProven ability to write for different audiences and content types (blog posts, case studies, landing pages, use cases)Experience using AI tools and LLMs to scale content creation while maintaining quality and brand voiceStrong analytics/data sense to track content performance and iterate based on resultsAn interest and understanding of the latest happenings in AI and techNice to have:Experience scaling content creation at a high-growth tech companyFamiliarity with SEO tools (SEMRush, Ahrefs, etc.) and content management systemsBackground in B2B SaaS or AI/ML content creationAbility to conduct investigative interviews with team members and customers for case studies and insightsBasic understanding of programmatic content and how to work with technical teamsWhat we offerHigh-velocity innovation: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.A truly global team: Collaboration with teammates across 30+ countries, a global customer footprint and office hubs in New York, London and Warsaw. Annual company offsite for the whole team to get together (the last one in Croatia!) Remote first: We prioritize your talent, not your location, with structured asynchronous workflows for maximum impact and minimal meetings.Continuous growth: Collaborate with AI leaders, shape your path, and contribute where you excel most.#LI-Remote

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About Rad AIAt Rad AI, we’re on a mission to transform healthcare with artificial intelligence. Founded by a radiologist, our AI-driven solutions are revolutionizing radiology—saving time, reducing burnout, and improving patient care. With one of the largest proprietary radiology report datasets in the world, our AI has helped uncover hundreds of new cancer diagnoses and reduced error rates in tens of millions of radiology reports by nearly 50%.Rad AI has secured over $140M in funding, including a recently oversubscribed Series C ($68M round) led by Transformation Capital, bringing our valuation to $528M. Our investors include Khosla Ventures, World Innovation Lab, Gradient Ventures, Cone Health Ventures, and others—all backing our mission to empower physicians with cutting-edge AI.Our latest advancements in generative AI are used by thousands of radiologists daily, supporting more than one-third of radiology groups and healthcare systems and nearly 50% of all medical imaging in the U.S. at partners including Cone Health, Jefferson Einstein Health, Geisinger, Guthrie Healthcare System, and Henry Ford Health.Recognized as one of the most promising healthcare AI companies by CB Insights and AuntMinnie, and ranked by Deloitte as the 19th fastest-growing company in North America, we are building AI-powered solutions that make a real impact. Most recently, Rad AI was named to CNBC’s Disruptor 50 list, highlighting the innovation and momentum behind our mission.If you’re ready to shape the future of healthcare, we’d love to have you on our team!Why Join Us:Comprising both radiology and AI expertise, Rad AI's stellar team builds products that maximize radiologist productivity, ultimately making healthcare more widely accessible and improving patient outcomes. Join our team and help us make a positive impact on radiology, patient lives, and healthcare around the world.We’re looking for an Implementation Manager with experience leading software implementation projects. Rad AI’s award-winning software has experienced tremendous market growth. We are looking for a teammate with a “can do'' attitude that is adaptable in a fast-paced, high-growth team.  This role will report up through the Vice President of Implementation.What You’ll Be Doing:Work independently to plan, monitor, and manage multiple complex customer-facing projectsLead the end-to-end delivery of Rad AI’s products to radiology practices and health systems, from kick-off to go-live and transition to supportFacilitate Discovery sessions to understand client workflows, requirements, and success criteriaDevelop detailed project plans, including timelines, milestones, and resource needsCoordinate cross-functional teams, including Product, Engineering, and Integration resources, to meet project objectives and deadlinesServe as the primary client-facing contact throughout the implementationEnsure a smooth onboarding process by managing project timelines, dependencies, and communications with executive, clinical, and IT stakeholdersTrack and manage feature requests, ensuring clear communication, documentation, and prioritizationMonitor project health, proactively identify risks, and escalate blockers, as neededIssue resolution and mitigation strategies based on data-driven decision makingConduct weekly status meetings with internal and external stakeholdersCollaborate and coordinate with Rad AI’s product, engineering, and customer success teams for project goal setting, data integration, testing, and product feedbackProvide ongoing updates to leadership throughout the project, via dashboards and reportsPartner with cross-functional teams, including Support and Client Success, to ensure customers are prepared for go-live and long-term successSuggest process improvements and help with maintaining onboarding templates, documentation, and best practicesContribute to building a world-class implementation organization that aims to exceed customer expectations with attentive, responsive, and knowledgeable serviceWho We’re Looking For:At least 2 plus years of relevant project management, implementation management, technical project management, or similar client-facing experience, preferably within a healthcare/healthcare IT environmentStrong project planning and execution skills, including timeline, scope, and risk managementExcellent people/relationship management and communication skills, with the ability to hold others accountablePractical working knowledge of SaaS solutions, implementations, and technical conceptsEagerness to continuously learn, adapt, improve, and help others do so in a fast-paced, ever-changing environmentAbility to build and maintain relationships with all functions and areas of the company to share in challenges and successes, and work collaboratively towards common goalsProficiency with project management toolsNice to Haves:Bachelor’s degree or abovePrior experience or familiarity with radiology workflows and/or radiology-specific healthcare ITGrowth stage scale startup experiencePrior professional consulting or healthcare software implementation experiencePrior experience or familiarity with radiology workflowsPrior experience or familiarity with HL7, FHIR, and EHRsJoin our world-class team as we build and deploy AI solutions that empower physicians and transform patient care—making a meaningful impact on millions of lives. Driven by our mission,  we prioritize transparency, inclusion, and close collaboration, bringing together exceptional people to revolutionize healthcare. If you're passionate about driving innovation and delivering impactful healthcare solutions, we'd love to hear from you!For US-Based Full-Time Roles, Rad AI offers a variety of benefits, including:Comprehensive Medical, Dental, Vision & Life insuranceHSA (with employer match), FSA, & DCFSA 401(k)11 Paid Company HolidaysLocation Flexibility (Remote-first company!)Flexible PTO policyAnnual company-wide offsitePeriodic team offsitesAnnual equipment stipendFor roles based outside the US, your recruiter can share more detailsAt Rad AI, we value diversity and provide equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. Please be vigilant regarding job scams. We advise all candidates to apply directly through our official careers page. Our recruiters will use email addresses with the domain @radai.com or no-reply@ashbyhq.com.

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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 Reasoning Efficiency team at xAI focuses on pushing the boundaries of cost-efficient intelligence. About the Role In this role you will: Build the next generation of Grok Mini - highly efficient reasoning models with frontier-level performance  Innovate scalable techniques to maximize intelligence per dollar Work across the LLM stack (reasoning RL, pretraining, serving) to deliver the strongest model for end users Exceptional candidates may have: Experience or publications in efficient algorithms for large language models (data / training algorithm / architecture) Exceptional engineering skills to iterate quickly on the data processing and training pipelines Strong understanding of large language model scaling laws  Deep knowledge of reinforcement learning techniques Location We hire engineers in Palo Alto. Our team usually works from the office 5 days a week but allow work-from-home days when required. Candidates are expected to be located near Palo Alto or open to relocation. 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 questions. If you clear the initial phone interview, you will enter the main process, which consists of four technical interviews: Coding assessment in a language of your choice. 2x post-training technical sessions: These sessions will be testing your ability to formulate, design and solve concrete problems in training data for post-training. Meet the Team: Present your past exceptional work and your vision with xAI to a small audience. Our goal is to finish the main process within one week. All interviews will be conducted via Google Meet. Annual Salary Range $180,000 - $440,000 USDxAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

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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 Role As an AI Engineer & Researcher - Product Analytics & Experimentation Design at xAI, you will be at the forefront of transforming user feedback and behavioral data into actionable insights that drive rapid product evolution. This role combines deep expertise in mathematics, statistics, and creative problem-solving to dissect complex, noisy signals from our AI systems—such as production logs, user interactions, and engagement metrics—without directly training models. You'll design clever experiments to test hypotheses, quantify what users love or loathe about our products, and recommend precise course corrections to enhance satisfaction and performance. By accelerating iteration cycles through smart experimentation, you'll empower our teams to make data-informed decisions that keep our AI at the cutting edge of user delight. Focus User Insight Extraction: Dive into production logs and behavioral data to identify patterns of dissatisfaction, using mathematical and statistical tools to distill why users may not engage with or appreciate aspects of our AI models. Experimentation Design: Craft and execute fast-paced experiments, such as A/B tests or multivariate trials, to validate hypotheses on product features and measure their impact on user experience. Noisy Signal Analysis: Apply advanced stats and creative analytical techniques to interpret ambiguous data streams, uncovering hidden correlations and causal factors that inform product improvements. Actionable Recommendations: Synthesize findings into clear, evidence-based strategies for product decisions, prioritizing quick wins and long-term enhancements to boost model usability and appeal. Rapid Iteration: Optimize experimentation pipelines for speed, enabling frequent testing and refinement cycles that allow the team to pivot based on real-time user signals and evolving needs. Ideal Experience Mathematical and Statistical Mastery: Profound skills in math, probability, statistics, and inference, with a proven ability to apply them creatively to real-world problems in dynamic tech environments. Experimentation Expertise: Hands-on experience designing and analyzing product experiments (e.g., A/B testing, causal inference), with a track record of accelerating iteration in AI or software products. Analytical Creativity: Demonstrated talent for teasing insights from noisy, high-volume data sources like logs and metrics, leading to innovative solutions that address user pain points without model training. Product Decision Support: Background in using data-driven methods to guide strategic choices, such as identifying suboptimal features and proposing fixes in fast-paced settings. Collaborative Agility: 3+ years in AI engineering or research roles at innovative companies, where you've balanced technical rigor with creative thinking to deliver quick, impactful iterations. Location We hire engineers in Palo Alto. Our team usually works from the office 5 days a week but allow work-from-home days when required. Candidates are expected to be located near Palo Alto or open to relocation. 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 questions. If you clear the initial phone interview, you will enter the main process, which consists of four technical interviews: Coding assessment in a language of your choice. 2x post-training technical sessions: These sessions will be testing your ability to formulate, design and solve concrete problems in training data for post-training. Meet the Team: Present your past exceptional work and your vision with xAI to a small audience. Our goal is to finish the main process within one week. All interviews will be conducted via Google Meet. Annual Salary Range $180,000 - $440,000 USDxAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

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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 Role As an AI Engineer & Researcher - HCI / Model Designer at xAI, you will play a pivotal role in bridging the gap between cutting-edge AI models and exceptional user experiences. This position sits at the intersection of human-computer interaction (HCI), AI engineering, and model design, where you'll collaborate with cross-functional teams to reimagine how users engage with our AI systems. Your work will focus on elevating the intuitiveness, clarity, and delight of interactions, ensuring that complex AI capabilities are presented in ways that feel natural, insightful, and empowering. With a keen eye for user-centric design, you'll iterate on interfaces, information architectures, and visualization techniques to make our models more accessible and transparent—ultimately helping users unlock the full potential of AI in their daily lives. Focus Enhance User Interactions: Design and implement intuitive interfaces that improve how users query, receive, and iterate on responses from our AI models, prioritizing seamless and engaging experiences. Information Organization and Display: Develop strategies for structuring and presenting AI-generated content, ensuring clarity, hierarchy, and relevance to help users quickly grasp key insights without overwhelm. Innovate on Agent Transparency: Create novel ways to visualize and convey the internal reasoning processes of AI agents, such as step-by-step thought traces or dynamic feedback loops, to build trust and understanding. Prototyping and Iteration: Rapidly prototype new HCI features for AI interfaces, incorporating user feedback and A/B testing to refine how models deliver value in real-world scenarios. Cross-Disciplinary Collaboration: Work closely with AI researchers, engineers, and product teams to integrate HCI principles into model training and deployment, fostering innovations that align technical capabilities with human needs. Ideal Experience HCI and UX Expertise: Proven track record in human-computer interaction, user experience design, or related fields, with a portfolio demonstrating high-taste designs for complex systems—ideally in AI or tech products. AI/ML Engineering Background: Hands-on experience building or fine-tuning AI models (e.g., LLMs, agents), combined with skills in software engineering (Python, frontend frameworks like React) to prototype and deploy interactive AI features. Research Acumen: Experience conducting user studies, A/B experiments, or HCI research, with publications or projects in areas like AI explainability, information visualization, or conversational interfaces. Creative Problem-Solving: Demonstrated ability to innovate on information display and agent transparency, such as designing tools for reasoning visualization or adaptive UIs, with a strong aesthetic sense for what "feels right" to users. Collaborative Mindset: 3+ years in fast-paced environments, preferably at AI startups or tech companies, where you've balanced technical depth with user empathy to deliver impactful solutions. Location We hire engineers in Palo Alto. Our team usually works from the office 5 days a week but allow work-from-home days when required. Candidates are expected to be located near Palo Alto or open to relocation. 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 questions. If you clear the initial phone interview, you will enter the main process, which consists of four technical interviews: Coding assessment in a language of your choice. 2x post-training technical sessions: These sessions will be testing your ability to formulate, design and solve concrete problems in training data for post-training. Meet the Team: Present your past exceptional work and your vision with xAI to a small audience. Our goal is to finish the main process within one week. All interviews will be conducted via Google Meet. Annual Salary Range $180,000 - $440,000 USDxAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

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YOUR MISSION: As a Senior Backend Engineer at Parloa, you will have a crucial role in helping us build the leading enterprise solution for automated dialogs. You will be actively involved in improving our tools and processes to support collaboration and productivity as well as in cultivating an environment where we can all learn and grow. IN THIS ROLE YOU WILL: Design and develop efficient backend solutions based on Node.js/Typescript running containerized as highly scalable applications in Kubernetes clusters. Evaluate new technologies and their integration into our current codebase in the form of research sprints. Share your technical knowledge with your peers, so the whole team can benefit from each other’s experiences. Actively exchange code review feedbacks with other software engineers, considering both style and implementation.   Our Tech stack: React/Redux, TypeScript, NodeJS, Inversify, NestJS, Lerna, Koa, Jest, Kubernetes, Docker, MongoDB, Redis   WHAT YOU BRING TO THE TABLE: Proficiency in backend engineering that you have mastered during your 7+ years of work experience. Passion for writing clean and modular code that is easy to maintain, update, test and scale. Solid work experience with OOP-Typescript, NodeJS, MongoDB, and Docker. Eagerness to take ownership of a task from inception to completion without losing focus of the business context. WHAT'S IN IT FOR YOU? Join a diverse team of 40+ nationalities with flat hierarchies and a collaborative company culture. Opportunity to build and scale your career at the intersection of customer-facing roles and engineering in a dynamic startup on its journey to become an international leader in SaaS platforms for Conversational AI. Deutschland ticket, Urban Sports Club, Job Rad, Nilo Health, weekly sponsored office lunches Competitive compensation and equity package. Flexible working hours, 28 vacation days and workation opportunities. Access to a training and development budget for continuous professional growth. Regular team events, game nights, and other social activities. Hybrid work environment. However, we love to build real connections and want to welcome everyone in our beautiful Berlin office on certain days. Your recruiting process at Parloa: Recruiter video call → Engineering Manager Interview → Live Coding Interview → Architecture interview → Bar Raiser Interview    Why Parloa?  Parloa is one of the fastest growing startups in the world of Generative AI and customer service. Parloa’s voice-first GenAI platform for contact centers is built on the best AI technology to automate customer service with natural-sounding conversations for outstanding experiences on all communication channels. Leveraging natural language processing (NLP) and machine learning, Parloa creates intelligent phone and chat solutions for businesses that turn contact centers into value centers by boosting customer service efficiency. The Parloa platform resolves the majority of customer queries quickly and automatically, allowing human agents to focus on complex issues and relationships. Parloa was founded in 2018 by Malte Kosub and Stefan Ostwald and today employs over 400+ people in Berlin, Munich, and New York. When you join Parloa, you become part of a dynamic and innovative team made up of over 34 nationalities that’s revolutionizing an entire industry. We’re passionate about growing together and creating opportunities for personal and professional development. With our recent $120 million Series C investment, we’re expanding globally and looking for talented individuals to join us on this exciting journey. Do you have questions about Parloa, the role, or our team before you apply? Please feel free to get in touch with our Hiring Team. Parloa is committed to upholding the highest data protection standards for our clients' and employees' data. All our employees are instrumental in ensuring the utmost care, GDPR, and ISO compliance, including ISO 27001, in handling sensitive information. * We provide equal opportunities to all qualified applicants regardless race, gender, sexual orientation, age, religion, national origin, disability status, socioeconomic background and other characteristics.

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YOUR MISSION: As a Senior Backend Engineer (f/m/d)* on the Evaluations Platform team you will collaborate with Engineers, Scientists, and Product, building Parloa’s Evaluations Platform - enabling our customers to simulate agent behavior in custom scenarios and evaluate and monitor AI Agent behavior and performance both in simulations and production. You will be actively involved in improving our tools and processes to support collaboration and productivity as well as in cultivating an environment where we can all learn and grow. Parloa has an office first hybrid in-office policy. Our team is usually in the office 2 to 3 days a week.  IN THIS ROLE YOU WILL: Work on our brand new LLM functionality to improve the customer service experience for millions of customers. Execute and lead projects end-to-end, including: collaborating with a product manager to understand user-facing requirements, leading architecture and system design, and non-functional requirements such as security, monitoring, & logging. Design, build, and maintain secure and scalable backend services in Python. Optimize system performance for low latency, high throughput, and reliability. Collaborate across teams to integrate machine learning components into production systems. Lead technical initiatives - design, planning, implementation, and maintenance (3-9 months horizon). Drive initiatives to improve operational excellence. Contribute to the evolution of our architecture and engineering culture. Our Tech stack: LLMs: OpenAI and other LLM-as-a-Service providers, Prompt engineering, LLM finetuning FastAPI, MongoDB, MySQL, Redis, Kafka, Terraform Docker, Helm, ArgoCD, Kubernetes Python, TensorFlow, PyTorch, scikit-learn for efficient implementation WHAT YOU BRING TO THE TABLE: 7+ years of experience as a backend engineer Experience with highly scalable real-time micro-service architecture.  Passion for writing clean and modular code that is easy to maintain, update, test and scale. Experience with version control systems, code review processes, and CI/CD pipelines. Experience with owning the Backend service development process end-to-end: from gathering requirements to design to support and continuous improvement, monitoring and maintenance. Experience in leading medium-sized technical projects (3-9 months roadmap) Proficiency in Python. Strong spoken and written communication skills in English. NICE TO HAVE: Some ML experience and a grasp of popular ML libraries and frameworks WHAT'S IN IT FOR YOU? Join a diverse team of 40+ nationalities with flat hierarchies and a collaborative company culture. Opportunity to build and scale your career at the intersection of customer-facing roles and engineering in a dynamic startup on its journey to become an international leader in SaaS platforms for Conversational AI. Deutschland ticket, Urban Sports Club, Job Rad, Nilo Health and other benefits. Competitive compensation and equity package. Flexible working hours, 28 vacation days and workation opportunities. Access to a training and development budget for continuous professional growth. Regular team events, game nights, and other social activities. Work from home and/or our beautiful office in the heart of Berlin with adjustable desks, social areas, fresh fruits, cereals, and drinks. Hybrid work environment. However, we love to build real connections and want to welcome everyone in our beautiful Berlin office on certain days. Your recruiting process at Parloa: Recruiter video call → Engineering Manager Interview → Live Coding Challenge → Architecture Interview → Bar Raiser Interview    Why Parloa?  Parloa is one of the fastest growing startups in the world of Generative AI and customer service. Parloa’s voice-first GenAI platform for contact centers is built on the best AI technology to automate customer service with natural-sounding conversations for outstanding experiences on all communication channels. Leveraging natural language processing (NLP) and machine learning, Parloa creates intelligent phone and chat solutions for businesses that turn contact centers into value centers by boosting customer service efficiency. The Parloa platform resolves the majority of customer queries quickly and automatically, allowing human agents to focus on complex issues and relationships. Parloa was founded in 2018 by Malte Kosub and Stefan Ostwald and today employs over 400+ people in Berlin, Munich, and New York. When you join Parloa, you become part of a dynamic and innovative team made up of over 34 nationalities that’s revolutionizing an entire industry. We’re passionate about growing together and creating opportunities for personal and professional development. With our recent $120 million Series C investment, we’re expanding globally and looking for talented individuals to join us on this exciting journey. Do you have questions about Parloa, the role, or our team before you apply? Please feel free to get in touch with our Hiring Team. Parloa is committed to upholding the highest data protection standards for our clients' and employees' data. All our employees are instrumental in ensuring the utmost care, GDPR, and ISO compliance, including ISO 27001, in handling sensitive information. * We provide equal opportunities to all qualified applicants regardless race, gender, sexual orientation, age, religion, national origin, disability status, socioeconomic background and other characteristics.

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YOUR MISSION: At Parloa, we’re on a mission to transform real-time customer interactions through a new generation of agentic AI. Our platform powers intelligent agents that automate complex voice and chat conversations at scale. As an engineer, you’ll take on meaningful challenges — from distributed systems to low-latency pipelines — and help solve problems the industry hasn’t cracked yet. Join us to build AI that doesn’t just respond — it understands, decides, and acts. As a Senior Backend Engineer (f/m/d)* on the Skills team you will work on a marketplace of tools and integrations which Parloa's agents leverage via MCP. Managed access to business systems dramatically increases their value while controlling for security and risk. You haven't worked with our stack? That's fine! We would love to get in touch as long as you are open to learn and code in Typescript. Parloa has an office-first approach. Our team is usually in the office 2-3 days a week.  IN THIS ROLE YOU WILL: Design, build, and maintain secure and scalable backend services Optimize system performance for low latency, high throughput, and reliability Collaborate across teams to integrate machine learning components into production systems Lead technical initiatives - design, planning, implementation, and maintenance (3-9 months horizon) Drive initiatives to improve operational excellence Contribute to the evolution of our architecture and engineering culture Our Tech stack: Typescript, NodeJS, OpenAI, Microsoft Azure, Kubernetes, Docker, Terraform, MongoDB, MySQL, Redis, Kafka, MCP   WHAT YOU BRING TO THE TABLE: 7+ years of experience as a software engineer Experience in Typescript, Node (ideally NestJS); or experience with comparable frameworks in other languages, and a willingness to learn and code in Typescript Experience with developing and maintaining highly scalable and reliable microservices Deep understanding of distributed systems, event-driven architectures, and APIs Experience with cloud-native infrastructure (e.g., Kubernetes, GCP/AWS) A bias for action, strong ownership, and a passion for clean, pragmatic code Experience in leading technical projects  (3-9 months horizon) Strong spoken and written communication skills in English Curiosity and openness to work with AI-assisted coding tools WHAT'S IN IT FOR YOU? Join a diverse team of 40+ nationalities with flat hierarchies and a collaborative company culture. Opportunity to build and scale your career at the intersection of customer-facing roles and engineering in a dynamic startup on its journey to become an international leader in SaaS platforms for Conversational AI. Deutschland ticket, Urban Sports Club, Job Rad, Nilo Health, weekly sponsored office lunches Competitive compensation and equity package. Flexible working hours, 28 vacation days and workation opportunities. Access to a training and development budget for continuous professional growth. Regular team events, game nights, and other social activities. Hybrid work environment. However, we love to build real connections and want to welcome everyone in our beautiful Berlin office on certain days. Your recruiting process at Parloa: Recruiter video call → Engineering Manager Interview → Live Coding Interview → Architecture Interview → Bar Raiser Interview    Why Parloa?  Parloa is one of the fastest growing startups in the world of Generative AI and customer service. Parloa’s voice-first GenAI platform for contact centers is built on the best AI technology to automate customer service with natural-sounding conversations for outstanding experiences on all communication channels. Leveraging natural language processing (NLP) and machine learning, Parloa creates intelligent phone and chat solutions for businesses that turn contact centers into value centers by boosting customer service efficiency. The Parloa platform resolves the majority of customer queries quickly and automatically, allowing human agents to focus on complex issues and relationships. Parloa was founded in 2018 by Malte Kosub and Stefan Ostwald and today employs over 400+ people in Berlin, Munich, and New York. When you join Parloa, you become part of a dynamic and innovative team made up of over 34 nationalities that’s revolutionizing an entire industry. We’re passionate about growing together and creating opportunities for personal and professional development. With our recent $120 million Series C investment, we’re expanding globally and looking for talented individuals to join us on this exciting journey. Do you have questions about Parloa, the role, or our team before you apply? Please feel free to get in touch with our Hiring Team. Parloa is committed to upholding the highest data protection standards for our clients' and employees' data. All our employees are instrumental in ensuring the utmost care, GDPR, and ISO compliance, including ISO 27001, in handling sensitive information. * We provide equal opportunities to all qualified applicants regardless race, gender, sexual orientation, age, religion, national origin, disability status, socioeconomic background and other characteristics.

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YOUR MISSION: At Parloa, we’re on a mission to transform real-time customer interactions through a new generation of agentic AI. Our platform powers intelligent agents that automate complex voice and chat conversations at scale. As an engineer, you’ll take on meaningful challenges — from distributed systems to low-latency pipelines — and help solve problems the industry hasn’t cracked yet. Join us to build AI that doesn’t just respond — it understands, decides, and acts. As a Backend Engineer (f/m/d)* on the Real-Time Communications team, you will be enabling our users to interact with our AI agents in their device of choice, using their preferred communications medium in a self-service fashion, with the highest standards of reliability and security. You haven't worked with our stack? That's fine! We would love to get in touch as long as you are open to learn and code in Typescript. Parloa has an office-first approach. Our team is usually in the office 2-3 days a week.  IN THIS ROLE YOU WILL: Design, build, and maintain secure and scalable backend services Optimize system performance for low latency, high throughput, and reliability Collaborate across teams to integrate machine learning components into production systems Lead technical initiatives - design, planning, implementation, and maintenance (3-9 months horizon) Drive initiatives to improve operational excellence Contribute to the evolution of our architecture and engineering culture Our Tech stack: Python, Typescript, NodeJS, OpenAI, Microsoft Azure, Kubernetes, Docker, Terraform, MongoDB, MySQL, Redis, Kafka, NATS, Kamailio, RTPengine, Janus, FreeSwitch   WHAT YOU BRING TO THE TABLE: 7+ years of experience as a software engineer Solid understanding of real-time communication protocols Willingness to learn and code in Typescript Experience with developing and maintaining highly scalable and reliable microservices Deep understanding of distributed systems, event-driven architectures, and APIs Experience with cloud-native infrastructure (e.g., Kubernetes, GCP/AWS) A bias for action, strong ownership, and a passion for clean, pragmatic code Experience in leading technical projects  (3-9 months horizon) Strong spoken and written communication skills in English Curiosity and openness to work with AI-assisted coding tools WHAT'S IN IT FOR YOU? Join a diverse team of 40+ nationalities with flat hierarchies and a collaborative company culture. Opportunity to build and scale your career at the intersection of customer-facing roles and engineering in a dynamic startup on its journey to become an international leader in SaaS platforms for Conversational AI. Deutschland ticket, Urban Sports Club, Job Rad, Nilo Health, weekly sponsored office lunches Competitive compensation and equity package. Flexible working hours, 28 vacation days and workation opportunities. Access to a training and development budget for continuous professional growth. Regular team events, game nights, and other social activities. Hybrid work environment. However, we love to build real connections and want to welcome everyone in our beautiful Berlin office on certain days. Your recruiting process at Parloa: Recruiter video call → Engineering Manager Interview → Live Coding Interview → Architecture Interview → Bar Raiser Interview    Why Parloa?  Parloa is one of the fastest growing startups in the world of Generative AI and customer service. Parloa’s voice-first GenAI platform for contact centers is built on the best AI technology to automate customer service with natural-sounding conversations for outstanding experiences on all communication channels. Leveraging natural language processing (NLP) and machine learning, Parloa creates intelligent phone and chat solutions for businesses that turn contact centers into value centers by boosting customer service efficiency. The Parloa platform resolves the majority of customer queries quickly and automatically, allowing human agents to focus on complex issues and relationships. Parloa was founded in 2018 by Malte Kosub and Stefan Ostwald and today employs over 400+ people in Berlin, Munich, and New York. When you join Parloa, you become part of a dynamic and innovative team made up of over 34 nationalities that’s revolutionizing an entire industry. We’re passionate about growing together and creating opportunities for personal and professional development. With our recent $120 million Series C investment, we’re expanding globally and looking for talented individuals to join us on this exciting journey. Do you have questions about Parloa, the role, or our team before you apply? Please feel free to get in touch with our Hiring Team. Parloa is committed to upholding the highest data protection standards for our clients' and employees' data. All our employees are instrumental in ensuring the utmost care, GDPR, and ISO compliance, including ISO 27001, in handling sensitive information. * We provide equal opportunities to all qualified applicants regardless race, gender, sexual orientation, age, religion, national origin, disability status, socioeconomic background and other characteristics.