Find AI Work That Works for You

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Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities.Tenstorrent is seeking a Foundry Technologist to drive the evaluation and enablement of cutting-edge process technologies (4nm and below) for our next-generation AI and CPU silicon. You'll be our strategic interface with leading foundries, ensuring optimal technology selection and qualification while collaborating with design teams to maximize PPA. If you're passionate about pushing the boundaries of semiconductor technology and want to shape the foundation of revolutionary AI hardware, join our team. This role is hybrid, based out of Austin, Santa Clara, or Fort Collins.  We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.   Who You Are A technology expert with deep understanding of advanced CMOS processes and foundry ecosystems. Strategic thinker who can evaluate complex trade-offs between PPA, cost, and time-to-market. Experienced collaborator who bridges foundry partners and internal design teams effectively. Detail-oriented professional who ensures technology readiness and drives optimal yield strategies.   What We Need Bachelor's/Master's in EE/CE with 5+ years of foundry technology and advanced node experience. Proven expertise working with foundries on technology qualification and Design Technology Co-Optimization (DTCO). Hands-on experience with PDK evaluation, library characterization, and PPA optimization. Strong background in synthesis, PnR flows, and understanding of deep sub-micron design challenges.   What You Will Learn How to shape technology strategy for industry-leading AI accelerators on the most advanced nodes. Cutting-edge DTCO techniques and early technology assessment methodologies. Strategies for optimizing yield and binning for high-volume AI hardware manufacturing. Direct influence on technology roadmaps through foundry partnerships and internal collaboration.   Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made. Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology.  Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2).   These requirements apply to persons located in the U.S. and all countries outside the U.S.  As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency.  If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.

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Lambda, The Superintelligence Cloud, builds Gigawatt-scale AI Factories for Training and Inference. Lambda’s mission is to make compute as ubiquitous as electricity and give every person access to artificial intelligence. One person, one GPU. If you'd like to build the world's best deep learning cloud, join us.  *Note: This position requires presence in our Chicago/Elk Grove Village Data Center location 5 days per week. The Operations team is at the heart of keeping our AI-IaaS infrastructure running smoothly from start to finish. They handle everything from sourcing the right hardware and components to keeping our data centers performing at their best day in and day out. The team also works closely across the company, making sure our operational capabilities stay in sync with product goals and overall strategy. By managing the entire lifecycle — from procurement through deployment and ongoing efficiency — the Operations team ensures our AI infrastructure stays reliable, scalable, and ready to support the business as it grows.What You’ll DoMake sure new servers, storage, and networking gear are racked, labeled, cabled, and configured the right way.Keep data center layouts and network topologies up to date in our DCIM software.Coordinate with supply chain and manufacturing teams so systems are deployed on time, especially for large-scale projects.Evaluate current and future data center needs based on growth and technology trends.Manage parts depot inventory and track equipment as it moves from delivery → storage → staging → deployment → handoff.Work closely with hardware support teams to get tickets resolved quickly.Create and manage RMA tickets when needed, making sure faulty parts are replaced and reinstalled without delay.Develop and maintain installation standards (placement, labeling, cabling) to ensure consistency across all data centers.Act as a subject matter expert on data center deployments, supporting sales engagements for major deployments in our facilities or at customer sites.YouSourcing & ProcurementResearching, evaluating, and securing the right hardware and infrastructure components.Building relationships with peers and supply chain to ensure cost-effective and timely supply.Data Center OperationsMonitoring day-to-day performance of data centers to maintain uptime and efficiency.Troubleshooting and resolving hardware or infrastructure issues quickly.Performing regular maintenance and upgrades to keep systems running at peak performance.Deployment & Lifecycle ManagementOverseeing the full lifecycle of infrastructure, from initial setup to ongoing optimization.Coordinating deployments of new hardware and ensuring seamless integration with existing systems.Managing capacity planning to make sure infrastructure can scale with business growth.Cross-Team CollaborationWorking with product management, support, and other teams to align operational capabilities with company goals.Translating business priorities into technical and operational requirements.Supporting cross-functional projects where infrastructure plays a critical role.Reliability & ScalabilityEnsuring infrastructure remains stable, secure, and scalable as demand increases.Continuously improving processes to boost efficiency and reduce downtime risks.Nice to HaveCertifications: Any Linux or project management.Military background.Experience in the machine learning or computer hardware industrySalary Range InformationThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description. About LambdaFounded in 2012, ~400 employees (2025) and growing fastWe offer generous cash & equity compensationOur investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove.We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitabilityOur research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOGHealth, dental, and vision coverage for you and your dependentsWellness and Commuter stipends for select roles401k Plan with 2% company match (USA employees)Flexible Paid Time Off Plan that we all actually useA Final Note:You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.Equal Opportunity EmployerLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

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Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of the company is to ship humanoid robots with human level intelligence. Its robots are engineered to perform a variety of tasks in the home and commercial markets. Figure is based in San Jose, CA and require 5 days/week in-office collaboration. We are seeking an Electrical Test Engineer to join the Test Infrastructure team responsible for developing and maintaining the electrical test systems that power integration, validation and HIL across Figure’s humanoid robot program. This role is highly hands-on and technical, combining electrical engineering, test automation, and hardware integration to ensure the performance, reliability, and scalability of Figure’s test infrastructure. Key Responsibilities: Design and develop electrical test systems, including schematics, wiring harnesses, PCBA interfaces, and safety interlocks. Build and maintain benchtop and rack-mounted test fixtures for subsystem and full-robot validation. Collaborate with Systems Integration and Validation teams to define test requirements and electrical coverage for bring-up and EOL workflows. Develop and execute test plans and procedures for electrical systems, focusing on power integrity, communication interfaces, and fault detection. Perform debug, diagnostics, and root cause analysis for electrical and system-level issues on test stands and prototypes. Create and maintain Python-based test automation scripts to enable automated data collection, logging, and verification. Specify and integrate instrumentation and measurement equipment, including oscilloscopes, power analyzers, load banks, DAQs, and PSU controllers. Document test system designs, calibration procedures, and test workflows to ensure repeatability and scalability. Contribute to continuous improvement of electrical test infrastructure and reliability processes across multiple robot programs. Requirements: Bachelor’s degree or equivalent experience in Electrical Engineering, Mechatronics, or a related field. 4–7 years of experience designing, testing, or validating electrical systems or test equipment. Strong understanding of power distribution, grounding, and safety standards. Proficiency with lab instrumentation (oscilloscopes, PSUs, DAQs, power analyzers, multimeters). Experience designing test fixtures, harnesses, or interface boards for validation or production testing. Familiarity with Python or similar scripting languages for automation and data analysis. Proven ability to debug complex electrical systems, interpret schematics, and work cross-functionally. Experience designing PCBAs Excellent attention to detail and documentation practices. Bonus Qualifications: Familiarity with hardware-in-the-loop (HIL) or continuous integration test environments. Background in robotics or embedded systems validation. Knowledge of AC/DC power electronics, load control, or high-voltage safety design. The US base salary range for this full-time position is between $130,000 and $250,000 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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AI Engineer (Full-time, Contractor)Title: AI Engineer Location: Remote (North America) Hours: Pacific Time Zone Compensation: $150k-$200k/year (DOE, location) Job Type: Contractor, 40 hr/week About the CompanyOur client is a neuroscience-based technology company that uses a simple, positive approach to health behavior change based on the science of habit formation. Dedicated to helping people feel better, we offer technology that leverages mindset, practice, and iteration—inviting people to test drive healthy, evidence-based habits, removing the guesswork and feelings of failure that often accompany lifestyle change. Our client empowers users to be unstoppable by iterating their way to better health. There is no "fail" — only practice and iteration.Empowering others to be unstoppable begins with fostering a sense of belonging both within and outside of our organization. Our leaders’ values of inclusivity create a workplace culture that encourages, supports, and celebrates diversity of all kinds, connecting us closer to the communities we serve.Our work culture is designed to encourage and support personal growth and development. Team members are challenged to contribute to a variety of initiatives with many opportunities to learn new skills, take on new projects, and embrace new roles. We measure our individual successes by how much we help others on the team, and we measure our impact by how we improve the lives of those we serve.We are a 100% remote team with headquarters on a 170-acre retreat in the Santa Cruz mountains in California. The company offers unlimited PTO, a highly flexible work schedule and an opportunity to work across many disciplines.About the RoleWe are looking for a driven and skilled AI Engineer to join our team. You'll play a key role in designing, building, and maintaining smart, scalable AI systems that directly impact our products and user experience. You’ll collaborate closely with product managers, software engineers, and data scientists to bring next-gen AI-driven features from prototype to production.Key ResponsibilitiesDesign & Development: Design, train, and validate machine learning models (e.g., classification, forecasting, recommendations) using real-world datasets.End-to-End Lifecycle Management (MLOps): Develop and maintain MLOps pipelines, integrating CI/CD, model monitoring, and version control to ensure reliability and scalability.Prototype & Deployment: Rapidly prototype AI features and deploy robust solutionsPerformance Optimization: Conduct hyperparameter tuning and efficiency testing to optimize for accuracy, latency, throughput, and resource utilization.Cross-Functional Collaboration: Work alongside product teams to translate business needs into practical AI solutions; clearly document and communicate methodologies and results.Ethics, Compliance & Monitoring: Ensure fairness, interpretability, and regulatory compliance in AI deployments. Implement monitoring strategies to detect model drift, bias, or performance degradation. Required QualificationsEducation: Bachelor’s degree in Computer Science, AI, Data Science, or related field; Master’s degree preferred.Experience: 2–4 years in machine learning, AI, or related engineering roles; demonstrated experience deploying models in production settings.Technical Skills:Familiarity with NLP, computer vision, or generative AI and LLMs (e.g. LangChain). Proficiency in Python (or Java/R)Hands-on with ML frameworks: TensorFlow, PyTorch, scikit-learn, Spark, etc.Cloud and DevOps tooling: Docker, AWS/GCP/Azure, Mlflow or equivalent MLOps toolsStrong in data engineering: ETL pipelines, SQL/NoSQL, data preprocessingSoft Skills: Excellent analytical thinking, communication skills, teamwork, adaptability, and attention to detail. Nice to HaveExperience contributing to open source AI projects or possessing industry-recognized certifications (e.g. Azure AI Engineer, Google ML Engineer, etc.).Domain expertise (e.g., AdTech, FinTech, Healthcare) that informs feature engineering and system design.Our client is an equal opportunity employer that condemns discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. We are committed to providing reasonable accommodations to qualified individuals.

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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. Open to overseas candidates/Visa Support This position is based in Tokyo, Japan. For international candidates, Appier's Japan office provides visa sponsorship to ensure a smooth transition to Japan. The Impact You’ll Make at Appier Appier is seeking a Senior Machine Learning Scientist to join our Advertising Cloud Optimization team, which leads the development of core machine learning algorithms driving campaign efficiency and advertiser ROI. Our programmatic advertising platform operates at a massive scale, handling over multi millions queries per second (QPS), all powered by our proprietary deep learning models for bidding, pricing, and personalized content delivery. In this role, you'll measure ads incrementality on different type of traffic, creative, users, and also improve campaign efficiency on combination having good incrementality by machine learning model and AI automation. What You’ll Work On Leverage scientific methods to improve ads measurement. Drive online experiments to continuously improve ads effectiveness. Own the project independently. Partner with product stakeholder, backend and frontend to provide measurement solution for our customers. What We’re Looking For Master’s or PhD’s degree in Computer Science, Machine Learning, Statistics, Econometrics, or related field. 3+ years of industry experience on causal inference, incrementality, marketing mix modeling or other measurement solutions on digital Ads related fields, and understand the assumption and difference across methods. Proficiency in Python and SQL experience with modern ML frameworks (PyTorch, TensorFlow, etc.). Strong ownership and collaboration skills. Language Fluent in English or Chinese. #LI-AK1  

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AI Engineer (Full-time, Contractor)Title: AI Engineer Location: Remote (North America) Hours: Pacific Time Zone Compensation: up to $150k/year (DOE) Job Type: Contractor, 40 hr/week About the CompanyOur client is a neuroscience-based technology company that uses a simple, positive approach to health behavior change based on the science of habit formation. Dedicated to helping people feel better, we offer technology that leverages mindset, practice, and iteration—inviting people to test drive healthy, evidence-based habits, removing the guesswork and feelings of failure that often accompany lifestyle change. Our client empowers users to be unstoppable by iterating their way to better health. There is no "fail" — only practice and iteration.Empowering others to be unstoppable begins with fostering a sense of belonging both within and outside of our organization. Our leaders’ values of inclusivity create a workplace culture that encourages, supports, and celebrates diversity of all kinds, connecting us closer to the communities we serve.Our work culture is designed to encourage and support personal growth and development. Team members are challenged to contribute to a variety of initiatives with many opportunities to learn new skills, take on new projects, and embrace new roles. We measure our individual successes by how much we help others on the team, and we measure our impact by how we improve the lives of those we serve.We are a 100% remote team with headquarters on a 170-acre retreat in the Santa Cruz mountains in California. The company offers unlimited PTO, a highly flexible work schedule and an opportunity to work across many disciplines.About the RoleWe are looking for a driven and skilled AI Engineer to join our team. You'll play a key role in designing, building, and maintaining smart, scalable AI systems that directly impact our products and user experience. You’ll collaborate closely with product managers, software engineers, and data scientists to bring next-gen AI-driven features from prototype to production.Key ResponsibilitiesDesign & Development: Design, train, and validate machine learning models (e.g., classification, forecasting, recommendations) using real-world datasets.End-to-End Lifecycle Management (MLOps): Develop and maintain MLOps pipelines, integrating CI/CD, model monitoring, and version control to ensure reliability and scalability.Prototype & Deployment: Rapidly prototype AI features and deploy robust solutionsPerformance Optimization: Conduct hyperparameter tuning and efficiency testing to optimize for accuracy, latency, throughput, and resource utilization.Cross-Functional Collaboration: Work alongside product teams to translate business needs into practical AI solutions; clearly document and communicate methodologies and results.Ethics, Compliance & Monitoring: Ensure fairness, interpretability, and regulatory compliance in AI deployments. Implement monitoring strategies to detect model drift, bias, or performance degradation. Required QualificationsEducation: Bachelor’s degree in Computer Science, AI, Data Science, or related field; Master’s degree preferred.Experience: 2–4 years in machine learning, AI, or related engineering roles; demonstrated experience deploying models in production settings.Technical Skills:Familiarity with NLP, computer vision, or generative AI and LLMs (e.g. LangChain). Proficiency in Python (or Java/R)Hands-on with ML frameworks: TensorFlow, PyTorch, scikit-learn, Spark, etc.Cloud and DevOps tooling: Docker, AWS/GCP/Azure, Mlflow or equivalent MLOps toolsStrong in data engineering: ETL pipelines, SQL/NoSQL, data preprocessingSoft Skills: Excellent analytical thinking, communication skills, teamwork, adaptability, and attention to detail. Nice to HaveExperience contributing to open source AI projects or possessing industry-recognized certifications (e.g. Azure AI Engineer, Google ML Engineer, etc.).Domain expertise (e.g., AdTech, FinTech, Healthcare) that informs feature engineering and system design.Our client is an equal opportunity employer that condemns discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. We are committed to providing reasonable accommodations to qualified individuals.

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About AbridgeAbridge was founded in 2018 with the mission of powering deeper understanding in healthcare. Our AI-powered platform was purpose-built for medical conversations, improving clinical documentation efficiencies while enabling clinicians to focus on what matters most—their patients.Our enterprise-grade technology transforms patient-clinician conversations into structured clinical notes in real-time, with deep EMR integrations. Powered by Linked Evidence and our purpose-built, auditable AI, we are the only company that maps AI-generated summaries to ground truth, helping providers quickly trust and verify the output. As pioneers in generative AI for healthcare, we are setting the industry standards for the responsible deployment of AI across health systems.We are a growing team of practicing MDs, AI scientists, PhDs, creatives, technologists, and engineers working together to empower people and make care make more sense. We have offices located in the Mission District in San Francisco, the SoHo neighborhood of New York, and East Liberty in Pittsburgh. The RoleOur generative AI-powered products are bringing joy back to the practice of medicine, and we’re looking for experienced backend software engineers to join our growing US-based engineering team. You’ll be an inaugural member of a new team forming to build the data + processing foundations we need to support our continued growth. You’ll work primarily in Typescript and Node, and you’ll deploy on platforms like Kubernetes and Temporal.What You'll DoDesign, build, and support the robust cloud-native applications, services, and APIs we need for our rapidly-growing business. Sample projects might include building a new processing pipeline or overhauling our data storage services to support increasing scale.Research commercial and open-source solutions, and make build vs buy recommendations to bring new capabilities into the technology organization.Enhance existing systems to add new functionality, and to improve performance, stability, quality, and security. Make quality-of-life improvements to the codebase, and help limit the growth of technical debt.Build deep user empathy and maintain a user-centric mindsetCommunicate regularly and effectively within and on behalf of our cross-functional product delivery teams. You’ll work with other disciplines including product, machine learning, and platform engineering, and will have opportunities to learn from and contribute to projects across the company.What You’ll Bring7+ years of software engineering experience with either: (1) Proven track record of rapidly mastering new technologies and languages - you're the engineer who can pick up TypeScript/Node and be productive quickly, or (2) Deep specialization in Node.js backend development - you've built complex, scalable Node-based systems and know the ecosystem inside and outExperience building and deploying a complex backend system utilizing TemporalPassion for engineering excellence, and a love for data and architecture Several years of experience building software for a regulated environment, and understand the tradeoffs that can be required to ensure compliance with regulations and frameworks such as HIPAA, SOC 2, and HITRUSTKnowledge of industry best-practices and trends, and an enjoyment of learning new thingsWilling to pitch in wherever needed - as a fast-moving startup we need to do good work, quicklyStrong plus for ability and desire to work in San Francisco or New York on a hybrid working basisMust be willing to work from our SF office at least 3x per weekThis position requires a commitment to a hybrid work model, with the expectation of coming into the office a minimum of (3) three times per week. Relocation assistance is available for candidates willing to move to San Francisco.We value people who want to learn new things, and we know that great team members might not perfectly match a job description. If you’re interested in the role but aren’t sure whether or not you’re a good fit, we’d still like to hear from you.Why Work at Abridge?At Abridge, we’re transforming healthcare delivery experiences with generative AI, enabling clinicians and patients to connect in deeper, more meaningful ways. Our mission is clear: to power deeper understanding in healthcare. We’re driving real, lasting change, with millions of medical conversations processed each month.Joining Abridge means stepping into a fast-paced, high-growth startup where your contributions truly make a difference. Our culture requires extreme ownership—every employee has the ability to (and is expected to) make an impact on our customers and our business.Beyond individual impact, you will have the opportunity to work alongside a team of curious, high-achieving people in a supportive environment where success is shared, growth is constant, and feedback fuels progress. At Abridge, it’s not just what we do—it’s how we do it. Every decision is rooted in empathy, always prioritizing the needs of clinicians and patients.We’re committed to supporting your growth, both professionally and personally. Whether it's flexible work hours, an inclusive culture, or ongoing learning opportunities, we are here to help you thrive and do the best work of your life.If you are ready to make a meaningful impact alongside passionate people who care deeply about what they do, Abridge is the place for you. How we take care of Abridgers:Generous Time Off: 13 paid holidays, flexible PTO for salaried employees, and accrued time off for hourly employees.Comprehensive Health Plans: Medical, Dental, and Vision plans for all full-time employees. Abridge covers 100% of the premium for you and 75% for dependents. If you choose a HSA-eligible plan, Abridge also makes monthly contributions to your HSA. Paid Parental Leave: 16 weeks paid parental leave for all full-time employees.401k and Matching: Contribution matching to help invest in your future.Pre-tax Benefits: Access to Flexible Spending Accounts (FSA) and Commuter Benefits.Learning and Development Budget: Yearly contributions for coaching, courses, workshops, conferences, and more.Sabbatical Leave: 30 days of paid Sabbatical Leave after 5 years of employment.Compensation and Equity: Competitive compensation and equity grants for full time employees.... and much more!Equal Opportunity EmployerAbridge is an equal opportunity employer and considers all qualified applicants equally without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability.Staying safe - Protect yourself from recruitment fraudWe are aware of individuals and entities fraudulently representing themselves as Abridge recruiters and/or hiring managers. Abridge will never ask for financial information or payment, or for personal information such as bank account number or social security number during the job application or interview process. Any emails from the Abridge recruiting team will come from an @abridge.com email address. You can learn more about how to protect yourself from these types of fraud by referring to this article. Please exercise caution and cease communications if something feels suspicious about your interactions. 

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About the Role We are seeking a highly motivated Creative Technologist to join our Applied Research team, reporting to the Head of Applied Research. The successful candidate will focus on advancing generative media research, with a primary emphasis on image models, while also contributing across video, audio, and 3D modalities. In addition to core research, this role will work directly with customers, alongside our Revenue and Sales teams, to design, fine-tune, and deploy custom models, workflows, and creative assets tailored to industries such as E-commerce, VFX, and other visual media. This is a hands-on position at the intersection of cutting-edge research and real-world application. Responsibilities Collaborate with the Applied Research team to develop state-of-the-art generative media solutions, with a strong emphasis on image models. Fine-tune and extend UNet and DiT architectures for generative tasks across multiple modalities (image, video, audio, 3D). Work directly with customers to research, design, and deliver customized models, workflows, and creative assets for applications in E-commerce, VFX, and other visual media sectors. Implement and adapt novel techniques from research papers and repositories into practical, high-quality code. Curate, preprocess, and design high-quality datasets for training and fine-tuning. Collaborate cross-functionally with Product, Engineering, and Commercial teams to ensure smooth integration of models into customer workflows. Stay at the cutting edge of generative modeling research, incorporating advancements into both internal pipelines and customer-facing solutions. Evaluate, benchmark, and optimize models for quality, diversity, and efficiency in generative media applications. Qualifications Proven experience with image models; knowledge of video, audio, or 3D generative models is a strong plus. Strong experience fine-tuning UNet and DiT architectures for generative tasks. Proficiency in Python, with the ability to implement and customize code from research repositories. Solid understanding of machine learning concepts (formal ML background preferred but not required). Experience with Linux, CUDA, and PyTorch in a research or production setting. Demonstrated ability to create customer-specific generative solutions and workflows. Experience managing fine-tuning processes to improve model quality and diversity. Portfolio, GitHub, or prior work showcasing generative media or applied ML research, particularly in E-commerce, VFX, or other visual media contexts, is highly desirable. Equal Employment Opportunity We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability, or other legally protected statuses.

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About Arize AI is rapidly transforming the world. As generative AI reshapes industries, teams need powerful ways to monitor, troubleshoot, and optimize their AI systems. That’s where we come in. Arize AI is the leading AI & Agent Engineering observability and evaluation platform, empowering AI engineers to ship high-performing, reliable agents and applications. From first prototype to production scale, Arize AX unifies build, test, and run in a single workspace—so teams can ship faster with confidence. We’re a Series C company backed by top-tier investors, with over $135M in funding and a rapidly growing customer base of 150+ leading enterprises and Fortune 500 companies. Customers like Booking.com, Uber, Siemens, and PepsiCo leverage Arize to deliver AI that works.Note: The nature of this role requires candidates to be based in the Buenos Aires area, though there isn't an in-office requirement. The Opportunity We’re looking for an Application Engineer who thrives on solving hard problems with code. In this role, you'll have the opportunity to work at the cutting edge of generative AI in a high-impact role with autonomy and ownership. What You’ll Do Debug and fix issues in our platform (and ship PRs with your fixes). Build internal tools and copilots powered by generative AI to supercharge our team. Rapidly prototype proof-of-concepts for customer use cases. Work across Engineering, Product, and Solutions to unblock customers and push the boundaries of AI adoption. What We’re Looking For You have 2-5 years of experience in software. Strong in Python and Golang; comfortable shipping fixes in production systems. Hands-on with generative AI (LLM APIs, frameworks, building copilots or automations) Hands-on with OpenTelimetry and deep familiarity with distributed tracing concepts. Familiarity with AI frameworks (CrewAI, Langchain, Langgraph, DiFy, LiteLLM, etc). Familiarity or eagerness to learn JavaScript/TypeScript. Great debugger, creative problem solver, and fast learner. Independent and resourceful. You create solutions, not dependencies. Bonus Points (but not required!) Experience in a customer-facing role Built copilots, plugins, or custom GenAI-powered applications. Open-sourced or contributed PRs to real codebases. Startup or fast-moving environment experience. Actual compensation is determined based upon a variety of job related factors that may include: transferable work experience, skill sets, and qualifications. Total compensation also includes unlimited paid time off, generous parental leave plan, and others for mental and wellness support.More About Arize Arize’s mission is to make the world’s AI work—and work for people. Our founders came together through a shared frustration: while investments in AI are growing rapidly across every industry, organizations face a critical challenge—understanding whether AI is performing and how to improve it at scale. Learn more about what we're doing here: https://techcrunch.com/2025/02/20/arize-ai-hopes-it-has-first-mover-advantage-in-ai-observability/ https://arize.com/blog/arize-ai-raises-70m-series-c-to-build-the-gold-standard-for-ai-evaluation-observability/ Diversity & Inclusion @ Arize Our company's mission is to make AI work and make AI work for the people, we hope to make an impact in bias industry-wide and that's a big motivator for people who work here. We actively hope that individuals contribute to a good culture Regularly have chats with industry experts, researchers, and ethicists across the ecosystem to advance the use of responsible AI Culturally conscious events such as LGBTQ trivia during pride month We have an active Lady Arizers subgroup

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About Durable: Our mission at Durable is to make owning a business easier than having a job. Durable builds AI that does the work for you. Our goal is to own the DIFY (Do It For You) small business category. What is DIFY? It is a new category of technology that is faster and more cost effective than a human, and much easier to use than software. It is an AI first approach to solving customer problems. You don't need to learn new software. You don't need to read help docs. You don't need to learn how to prompt. You provide business context and feedback, and the work is done for you. We believe in a world where everyone is a business owner. Whether it's a full-time, part-time, or side hustle - we want to make it frictionless to start and operate a business. Since launching in late 2022, over 10 million websites have been built with our AI powered website builder. We are generating significant revenue, well-funded by Silicon Valley investors, and growing extremely fast. Our vision is much bigger, and we're looking for incredible people to join our team and make an impact. What you’ll do: We're looking for a frontend engineer to craft high-performance, beautiful interfaces that bring durable’s ai-native experiences to life. you’ll own everything from our design system to pixel-perfect interactions, collaborating closely with design and product to deliver a best-in-class experience for small business owners. At Durable, every engineer is expected to build AI features end to end and use AI in their workflow every day. Key responsibilities: Build and maintain responsive, performant, and accessible web interfaces Implement elegant interaction design using animation, motion, and state management Collaborate with design to translate figma prototypes into production-ready code Own and evolve Durable’s component libraries, design system, and frontend architecture Work with product to create seamless end-to-end features Optimize for speed, maintainability, and developer experience in the browser Contribute to performance monitoring, testing, and tooling What you'll bring: 3–6+ years of experience building production-grade web applications Strong proficiency in React, Typescript, and modern frontend tooling Expertise in TailwindCSS and component-driven development (Storybook, RadixUI) Experience with TRPC, Tanstack Query, and state management patterns Eye for detail in ui/ux, animation, and design fidelity Track record of building performant, scalable, and maintainable frontend systems Collaborative and pragmatic mindset; thrive in a fast-paced startup environment Bonus: experience with Rive, Vercel, AI-driven products, and/or b2c/b2b2c platforms Why join us?  At Durable, we’re committed to creating an environment where you can thrive. Here’s what you can look forward to: Hybrid flexibility & Gastown HQ: Our well-stocked Vancouver office offers stunning views of the North Shore, and while we value in-person collaboration, you're free to work from home when you need to. Mondays and Thursdays are our in-office anchor day. Comprehensive benefits: Health and dental coverage to support your well-being. Home office stipend: Receive a stipend to create a comfortable and productive workspace. Professional development: We support your growth with opportunities like conferences, courses, and speaking engagements. Team events: Connect with your colleagues through retreats and team-building activities. Equipment: Start strong with a company-provided laptop and the tools you need to succeed. Commitment to engineering excellence: We care deeply about our craft and build using the most AI-native stack and tools available. Location Ideal candidates are based in Vancouver. We may consider those based remotely in Canada on a case-by-case basis.  Compensation Base salary range is $165,000-$225,000 CAD, plus equity. This range is relevant to candidates located in Vancouver, Canada. Actual compensation will be based on a combination of factors including experience and skill level. Recruitment process This is our typical recruitment process. It may vary a bit but generally this is what you can expect to take place over the span of several weeks. Recruiter screen (Online, 15-20mins) Hiring Manager screen (Online, 15-20mins) Behavioural (On-site, 30mins) Technical Interview (On-site, 90mins) Group Chat (Online or On-site, 25mins) References + Offer The behavioural, technical, and group portions are often completed at the same time at our office. Our tech stack Languages: TypeScript, SQL, Bash, HTML5, CSS3 Frameworks/Libraries: React, NextJS, Tanstack Query, React Native, Expo, TailwindCSS, RadixUI, DrizzleORM, TRPC, NodeJS, Zod, WebRTC, Rive Tooling: Storybook, Turborepo, ESLint, Prettier, Playwright, NPM/PNPM, Git, AI codegen Databases: Postgres (including PGVector and JSON), S3 compatible object stores, Clickhouse Infrastructure: Docker, Vercel, Trigger.dev, OTel, Groq, Hugging Face, , Langfuse AI engineering: Large Language Models, Multi-Modal Models, Image Generation, In-painting, Voice Models, Vercel AISDK AI concepts (learn over time): Generative UI, Streaming, ReAct, CoT, Multi-agent systems, Guardrails, Evals, Vector databases, RAG, Embeddings, Fine-tuning, Diffusion Models, MCP, and more.    

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About Arize AI is rapidly transforming the world. As generative AI reshapes industries, teams need powerful ways to monitor, troubleshoot, and optimize their AI systems. That’s where we come in. Arize AI is the leading AI & Agent Engineering observability and evaluation platform, empowering AI engineers to ship high-performing, reliable agents and applications. From first prototype to production scale, Arize AX unifies build, test, and run in a single workspace—so teams can ship faster with confidence. We’re a Series C company backed by top-tier investors, with over $135M in funding and a rapidly growing customer base of 150+ leading enterprises and Fortune 500 companies. Customers like Booking.com, Uber, Siemens, and PepsiCo leverage Arize to deliver AI that works.Note: The nature of this role requires candidates to be based in the Buenos Aires area, though there isn't an in-office requirement. The Opportunity We’re looking for an Application Engineer who thrives on solving hard problems with code. In this role, you'll have the opportunity to work at the cutting edge of generative AI in a high-impact role with autonomy and ownership. What You’ll Do Debug and fix issues in our platform (and ship PRs with your fixes). Build internal tools and copilots powered by generative AI to supercharge our team. Rapidly prototype proof-of-concepts for customer use cases. Work across Engineering, Product, and Solutions to unblock customers and push the boundaries of AI adoption. What We’re Looking For You have 2-5 years of experience in software. Strong in Python and Golang; comfortable shipping fixes in production systems. Hands-on with generative AI (LLM APIs, frameworks, building copilots or automations) Hands-on with OpenTelimetry and deep familiarity with distributed tracing concepts. Familiarity with AI frameworks (CrewAI, Langchain, Langgraph, DiFy, LiteLLM, etc). Familiarity or eagerness to learn JavaScript/TypeScript. Great debugger, creative problem solver, and fast learner. Independent and resourceful. You create solutions, not dependencies. Bonus Points (but not required!) Experience in a customer-facing role Built copilots, plugins, or custom GenAI-powered applications. Open-sourced or contributed PRs to real codebases. Startup or fast-moving environment experience. Actual compensation is determined based upon a variety of job related factors that may include: transferable work experience, skill sets, and qualifications. Total compensation also includes unlimited paid time off, generous parental leave plan, and others for mental and wellness support.More About Arize Arize’s mission is to make the world’s AI work—and work for people. Our founders came together through a shared frustration: while investments in AI are growing rapidly across every industry, organizations face a critical challenge—understanding whether AI is performing and how to improve it at scale. Learn more about what we're doing here: https://techcrunch.com/2025/02/20/arize-ai-hopes-it-has-first-mover-advantage-in-ai-observability/ https://arize.com/blog/arize-ai-raises-70m-series-c-to-build-the-gold-standard-for-ai-evaluation-observability/ Diversity & Inclusion @ Arize Our company's mission is to make AI work and make AI work for the people, we hope to make an impact in bias industry-wide and that's a big motivator for people who work here. We actively hope that individuals contribute to a good culture Regularly have chats with industry experts, researchers, and ethicists across the ecosystem to advance the use of responsible AI Culturally conscious events such as LGBTQ trivia during pride month We have an active Lady Arizers subgroup

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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 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 Tutor - Economics, you will be instrumental in enhancing the capabilities of our cutting-edge technologies by providing high-quality input and labels using specialized software. Your role involves collaborating closely with our technical team to support the training of new AI tasks, ensuring the implementation of innovative initiatives. You'll contribute to refining annotation tools and selecting complex problems from advanced economics domains, with a focus on macroeconomic forecasting, microeconomic incentives, and behavioral experiments. This position demands a dynamic approach to learning and adapting in a fast-paced environment, where your ability to interpret and execute tasks based on evolving instructions is crucial. AI Tutor’s Role in Advancing xAI’s Mission As an AI Tutor, you will play an essential role in advancing xAI's mission by supporting the training and refinement of xAI’s AI models. AI Tutors teach our AI models about how people interact and react, as well as how people approach issues and discussions in economics. To accomplish this, AI Tutors will actively participate in gathering or providing data, such as text, voice, and video data, sometimes providing annotations, recording audio, or participating in video sessions. We seek individuals who are comfortable and eager to engage in these activities as a fundamental part of the role, ensuring a strong alignment with xAI’s goals and objectives to innovate. Scope An AI Tutor will provide services that include labeling and annotating data in text, voice, and video formats to support AI model training. At times, this may involve recording audio or video sessions, and tutors are expected to be comfortable with these tasks as they are fundamental to the role. Such data is a job requirement to advance xAI’s mission, and AI Tutors acknowledge that all work is done for hire and owned by xAI. Responsibilities Use proprietary software applications to provide input/labels on defined projects. Support and ensure the delivery of high-quality curated data. Play a pivotal role in supporting and contributing to the training of new tasks, working closely with the technical staff to ensure the successful development and implementation of cutting-edge initiatives/technologies. Interact with the technical staff to help improve the design of efficient annotation tools. Choose problems from economics fields that align with your expertise, focusing on areas like macroeconomics, microeconomics, and behavioral economics.  Regularly interpret, analyze, and execute tasks based on given instructions. Key Qualifications Must possess a PhD in Economics or related field Proficiency in reading and writing, both in informal and professional English. Outstanding communication, interpersonal, analytical, and organizational capabilities. Solid reading comprehension skills combined with the capacity to exercise autonomous judgment even when presented with limited data/material. Strong passion for and commitment to technological advancements and innovation in economics. Preferred Qualifications Possesses experience with at least one publication in a reputable economics journal or outlet. Teaching experience as a professor. Location & Other Expectations This position is based in Palo Alto, CA, or fully remote. The Palo Alto option is an in-office role requiring 5 days per week; remote positions require strong self-motivation. If you are based in the US, please note we are unable to hire in the states of Wyoming and Illinois at this time. We are unable to provide visa sponsorship. Team members are expected to work from 9:00am - 5:30pm PST for the first two weeks of training and 9:00am - 5:30pm in their own timezone thereafter. For those who will be working from a personal device, please note your computer must be a Chromebook, Mac with MacOS 11.0 or later, or Windows 10 or later. You must own and have reliable access to a smartphone. Compensation $45/hour - $100/hour The posted pay range is intended for U.S.-based candidates and depends on factors including relevant experience, skills, education, geographic location, and qualifications. For international candidates, our recruiting team can provide an estimated pay range for your location. Benefits: Hourly pay is just one part of our total rewards package at xAI. Specific benefits vary by country, depending on your country of residence you may have access to medical benefits. We do not offer benefits for part-time roles.xAI 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 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 Tutor - Economics, you will be instrumental in enhancing the capabilities of our cutting-edge technologies by providing high-quality input and labels using specialized software. Your role involves collaborating closely with our technical team to support the training of new AI tasks, ensuring the implementation of innovative initiatives. You'll contribute to refining annotation tools and selecting complex problems from advanced economics domains, with a focus on macroeconomic forecasting, microeconomic incentives, and behavioral experiments. This position demands a dynamic approach to learning and adapting in a fast-paced environment, where your ability to interpret and execute tasks based on evolving instructions is crucial. AI Tutor’s Role in Advancing xAI’s Mission As an AI Tutor, you will play an essential role in advancing xAI's mission by supporting the training and refinement of xAI’s AI models. AI Tutors teach our AI models about how people interact and react, as well as how people approach issues and discussions in economics. To accomplish this, AI Tutors will actively participate in gathering or providing data, such as text, voice, and video data, sometimes providing annotations, recording audio, or participating in video sessions. We seek individuals who are comfortable and eager to engage in these activities as a fundamental part of the role, ensuring a strong alignment with xAI’s goals and objectives to innovate. Scope An AI Tutor will provide services that include labeling and annotating data in text, voice, and video formats to support AI model training. At times, this may involve recording audio or video sessions, and tutors are expected to be comfortable with these tasks as they are fundamental to the role. Such data is a job requirement to advance xAI’s mission, and AI Tutors acknowledge that all work is done for hire and owned by xAI. Responsibilities Use proprietary software applications to provide input/labels on defined projects. Support and ensure the delivery of high-quality curated data. Play a pivotal role in supporting and contributing to the training of new tasks, working closely with the technical staff to ensure the successful development and implementation of cutting-edge initiatives/technologies. Interact with the technical staff to help improve the design of efficient annotation tools. Choose problems from economics fields that align with your expertise, focusing on areas like macroeconomics, microeconomics, and behavioral economics.  Regularly interpret, analyze, and execute tasks based on given instructions. Key Qualifications Must possess a PhD in Economics or related field Proficiency in reading and writing, both in informal and professional English. Outstanding communication, interpersonal, analytical, and organizational capabilities. Solid reading comprehension skills combined with the capacity to exercise autonomous judgment even when presented with limited data/material. Strong passion for and commitment to technological advancements and innovation in economics. Preferred Qualifications Possesses experience with at least one publication in a reputable economics journal or outlet. Teaching experience as a professor. Location & Other Expectations This position is based in Palo Alto, CA, or fully remote. The Palo Alto option is an in-office role requiring 5 days per week; remote positions require strong self-motivation. If you are based in the US, please note we are unable to hire in the states of Wyoming and Illinois at this time. We are unable to provide visa sponsorship. Team members are expected to work from 9:00am - 5:30pm PST for the first two weeks of training and 9:00am - 5:30pm in their own timezone thereafter. For those who will be working from a personal device, please note your computer must be a Chromebook, Mac with MacOS 11.0 or later, or Windows 10 or later. You must own and have reliable access to a smartphone. Compensation $45/hour - $100/hour The posted pay range is intended for U.S.-based candidates and depends on factors including relevant experience, skills, education, geographic location, and qualifications. For international candidates, our recruiting team can provide an estimated pay range for your location. Benefits: Hourly pay is just one part of our total rewards package at xAI. Specific benefits vary by country, depending on your country of residence you may have access to medical benefits. We do not offer benefits for part-time roles.xAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

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Replicant is the industry leader in voice AI for customer service since it was founded in 2017. When you dial the customer service number of one of our customers–like AAA or Fanatics – our bot answers the phone. Over 50% of callers do not even need to talk to a human, and they rate the interaction higher than if they did so. We do this with AI that feels human, scales securely, and delivers real business results. We are backed by top tier Silicon Valley investors and growing rapidly. We are based mostly in the SF Bay Area, Toronto, and New York, and much of our team is distributed throughout other parts of the US and Canada.Joining Replicant means working on technology that makes customer service both better and cheaper, for a gigantic market of millions of potential customers. We solve huge challenges with a small team, so every improvement you will ship makes a huge difference.We’re looking for a Backend-Focused Full Stack Software Engineer to join the team! We need someone who excels at developing and optimizing backend services, can collaborate with team members to refactor code, debug issues, and support a production environment actively used by customers. Your primary focus will be on enhancing our backend capabilities while also supporting our existing platform and contributing to the frontend as needed. In this role, you'll support core product functions by designing and implementing scalable backend functionality, optimizing data structures, and refactoring business logic to improve performance and meet future needs. You’ll work closely with customers and our product and machine learning teams to create powerful tools that enable users to craft AI-powered conversations for callers. Our stack includes Python, TypeScript, Node.js, and React in Kubernetes on GCP.What You’ll DoBuild new features powering millions of daily conversations on Replicant’s core AI voice and chat products, focusing on scalable, reliable backend services and infrastructureRefractor, optimize, and debug production systems balancing latency, cost, and user delightContinuously improve systems based on performance metrics and customer feedbackThoughtfully review code and architecture to maintain quality and mentor peersChampion best practices and design patterns, shaping a fast-moving culture focused on engineering excellenceParticipate in regular on-call rotations, monitoring live production systems and quickly resolving issuesWhat You'll Bring5+ years of backend software engineering experience in a SaaS environmentProven experience owning and shipping elegant, maintainable, continuously improving solutions that scale to millions of usersHistory of raising the bar for great engineering in your teams, with strong collaboration skills favoring impact over processStrong communication skills that build trust with teammates and stakeholdersMastery of AI tools for writing, improving, debugging, and refactoring large code basesMastery of Node.Js or Python deployed on a cloud platform (AWS, GCP, or Azure)Expertise in one or more of the following:Relational databases such as MySQL or PostgreSQL, and ORM tools such as TypeORM or SequelizeData engineeringCI/CDLLM prompt engineering, integration of AI technology in production systemsEnthusiasm for AI, machine learning, or telephonyFor all full-time employees, we offer:🌴 In-person connection that counts: company-wide offsites and smaller team gatherings designed to make remote work feel personal🖥️ Tech & learning stipend: Conferences, books, courses — interested? We’ll fund them📍 Remote by design: We’re distributed — no guilt about life events, we trust you to manage your calendar🏋️ Health & wellness: Flexible vacations, paid sabbatical after 5 years, comprehensive benefits, plus a stipend to support your physical and mental well-being💸 Compensation that matches your impact: competitive salaries in the company you’re helping to build📈 Equity with upside: We believe in shared ownership—You’ll own a real piece of a fast-growing AI companyOur ValuesReplicant has three core values. It is critical that everyone who joins the team feels excited and moved by these values as every new team member makes an impact on our culture.Blade Runners: We take ownership and pride to influence the outcomes of our goals. We are successful, and like a Blade Runner, use the tools at our disposal to reach our objectives. We value open and honest communication and proactively seek feedback along the way. We are a company driven to grow and achieve both individually and as a team.Bread Makers: We are humble and strive toward an egalitarian culture. No task is too big or too small. We work together to achieve our goals and develop our company mission. We believe that the whole is greater than the sum of its parts in everything that we do.Självdistans (Self-Distance): Självdistans is Swedish for self-distance. It's the ability to critically reflect on oneself and one's relations from an external perspective. With this in mind, we act with objectivity and always remember that we are not our work. There's no perfect science to growing a team or business, but we trust everyone at Replicant to point out our blind spots and humbly admit their own.Replicant is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at talent@replicant.ai and we’ll work to meet your needs.

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Replicant is the industry leader in voice AI for customer service since it was founded in 2017. When you dial the customer service number of one of our customers–like AAA or Fanatics – our bot answers the phone. Over 50% of callers do not even need to talk to a human, and they rate the interaction higher than if they did so. We do this with AI that feels human, scales securely, and delivers real business results. We are backed by top tier Silicon Valley investors and growing rapidly. We are based mostly in the SF Bay Area, Toronto, and New York, and much of our team is distributed throughout other parts of the US and Canada.Joining Replicant means working on technology that makes customer service both better and cheaper, for a gigantic market of millions of potential customers. We solve huge challenges with a small team, so every improvement you will ship makes a huge difference.We’re looking for a frontend focused Full Stack Software Engineer to join the team! We need someone who excels at building rich and engaging user experiences and can collaborate effectively with team members to refactor code, debug issues, and support a production environment actively used by customers. Your primary focus will be on enhancing our frontend capabilities while also supporting our existing platform and contributing to the backend as needed. In this role, you'll drive the development of intuitive and visually appealing interfaces on a robust and scalable architecture. You’ll work closely with customers and our product and machine learning teams to create powerful tools that enable users to craft delightful AI-powered conversations for callers. Our stack includes TypeScript, React, and Node.js in Kubernetes on GCP.What You’ll DoBuild new features powering millions of daily conversations on Replicant’s core AI voice and chat products, focusing on frontend services and building industry-leading user experienceCollaborate closely with product managers, designers, and ML engineers in an agile, iterative environmentThoughtfully review code and architecture to maintain quality and mentor peersParticipate in regular on-call rotations, monitoring live production systems and quickly resolving issuesUse metrics and your team's collective experience to drive development decisionsChampion best practices and design patterns, shaping a fast-moving culture focused on engineering excellenceWhat You'll Bring5+ years of full-stack software engineering experience with demonstrated passion, judgement, and skill in building beautiful, delightful user featuresMastery of modern AI tools for building end-to-end complete features in days, not weeks or monthsHistory of raising the bar for great engineering in your teams, with strong collaboration skills favoring impact over processStrong communication skills that build trust with teammates and stakeholdersDemonstrated experience designing and implementing quality testing for systems you’ve built, including automated, manual, and AIMastery of modern JavaScript/TypeScript and frontend frameworks (React or similar).Demonstrated familiarity with all of the following:Design systems or component libraries, such as Material-UI or BootstrapCSS preprocessors, such as SASS or LESSFrontend testing frameworks, such as Vitest or JestAccessibility standards (WCAG, ARIA) and building inclusive applicationsBonus points for experience with LLM prompt engineering, Google Cloud Services, and KubernetesEnthusiasm for AI, machine learning, or telephonyFor all full-time employees, we offer:🌴 In-person connection that counts: company-wide offsites and smaller team gatherings designed to make remote work feel personal🖥️ Tech & learning stipend: Conferences, books, courses — interested? We’ll fund them📍 Remote by design: We’re distributed — no guilt about life events, we trust you to manage your calendar🏋️ Health & wellness: Flexible vacations, paid sabbatical after 5 years, comprehensive benefits, plus a stipend to support your physical and mental well-being💸 Compensation that matches your impact: competitive salaries in the company you’re helping to build📈 Equity with upside: We believe in shared ownership—You’ll own a real piece of a fast-growing AI companyOur ValuesReplicant has three core values. It is critical that everyone who joins the team feels excited and moved by these values as every new team member makes an impact on our culture.Blade Runners: We take ownership and pride to influence the outcomes of our goals. We are successful, and like a Blade Runner, use the tools at our disposal to reach our objectives. We value open and honest communication and proactively seek feedback along the way. We are a company driven to grow and achieve both individually and as a team.Bread Makers: We are humble and strive toward an egalitarian culture. No task is too big or too small. We work together to achieve our goals and develop our company mission. We believe that the whole is greater than the sum of its parts in everything that we do.Självdistans (Self-Distance): Självdistans is Swedish for self-distance. It's the ability to critically reflect on oneself and one's relations from an external perspective. With this in mind, we act with objectivity and always remember that we are not our work. There's no perfect science to growing a team or business, but we trust everyone at Replicant to point out our blind spots and humbly admit their own.Replicant is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at talent@replicant.ai and we’ll work to meet your needs.

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Who are we?Ema is building the next generation AI technology to empower every employee in the enterprise to be their most creative and productive. Our proprietary tech allows enterprises to delegate most repetitive tasks to Ema, the Universal AI employee. We are founded by ex-Google, Coinbase, Okta executives, and serial entrepreneurs. We’re well-funded by the top investors and angels in the world. Ema is based in Silicon Valley and Bangalore. This will be a hybrid role where we expect employees to work from office three days a week.Who are you?We are seeking an experienced Enterprise Software Engineer to join the Ema team in India. As an Enterprise Software Engineer, you will be responsible for designing, developing, and maintaining our enterprise software applications. You will work with a cross-functional team of product managers, designers, and developers to deliver high-quality software solutions that meet the needs of our enterprise clients. The ideal candidate has experience building products across the stack and a firm understanding of web frameworks, APIs, databases, and multiple back-end languages. Most importantly, you are excited to be part of a mission-oriented, fast-paced, high-growth startup that can create a lasting impact.You will:Develop and maintain enterprise software applications, including API, data, application, and service developmentWrite clean, efficient, and maintainable code by employing test-driven development process.Build scalable and reliable back-end systems using languages like Go and PythonDevelop and maintain APIs using REST, gRPC or GraphQLIntegrate multiple enterprise applications and services using a scalable framework like FastAPIBuild and maintain data schema using PostgreSQL, Redshift etc.Knowledge of front-end interfaces using HTML, CSS, and JavaScript frameworks such as React or AngularEnsure that applications are secure and adhere to industry best practicesContinuously improve software development processes and practicesIdeally, you'd have:Bachelor's degree in Computer Science or related field.At least 4 years of relevant work experience.Solid background in algorithms, data structures, and object-oriented programmingExperience in back-end development using languages like Python and GoKnowledge of database technologies like PostgreSQL, Elastic, Redis.Knowledge of designing and building API platforms and integration systems.Experience with cloud technologies like GCPExperience with containerization technologies like Docker and KubernetesExperience with integrating multiple enterprise applications, including frameworks and authentication.Understanding of security best practices and protocols for enterprise software applicationsExperience deploying software in multi-tenant SaaS environments.Knowledge of front-end technologies such as HTML, CSS, JavaScript, and front-end frameworks like React or AngularStrong problem-solving skills and attention to detailAbility to work independently and as part of a teamExperience working with global teamsEma Unlimited is an equal opportunity employer and is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or genetics.

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As a Senior Platform Engineer, you’ll be at the heart of our infrastructure - designing, building, and scaling the core platform that powers our AI-driven security products. You’ll collaborate closely with our AI, backend, and product teams to ensure our systems are performant, stable, reliable, and secure.You’ll own key pieces of our cloud and service platform, automate everything you can, and continuously improve how we deliver, monitor, and scale mission-critical applications. If you’re passionate about building scalable, reliable infrastructure and enabling teams to deliver faster and with confidence, this is the role for you.What You’ll DoDesign and build scalable, secure, and high-performance infrastructure for our AI-native platform.Own AWS region expansion, harden the system for compliance, and improve elasticity, disaster recovery, and high-availability features.Develop tooling, services, and automation, including runbook automation and AI-assisted developer workflows, to improve platform reliability and developer experience.Partner with AI and backend engineers to streamline deployment, CI/CD, observability, and performance optimization.Drive initiatives around infrastructure-as-code, container orchestration, and operational excellence to reduce toil and enhance incident response.What We’re Looking For5+ years of experience in Platform, DevOps, or Software Engineering roles.Experience working closely in and with development teams, and proven ability to change production code.Strong software development skills (Python, TypeScript, or similar).Deep experience with AWS cloud infrastructure.Expertise with Kubernetes, Docker, Terraform, and modern CI/CD systems such as GitHub Actions.Experience building observability and monitoring systems leveraging tools such as the full Grafana stack.Passion for developer experience, automation, and high-scale systems.Strong understanding of distributed systems, networking, and security fundamentals.Curiosity and drive to work at the intersection of AI and cybersecurity. Nice to HaveExperience with AI/ML platforms or data-intensive systems.Knowledge of agent frameworks, LLM orchestration, or event-driven architectures.Familiarity with SOC operations, threat detection, or security automation tools.

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At Vanta, our mission is to help businesses earn and prove trust. We believe that security should be monitored and verified continuously, and we empower companies to practice better security and prove it with ease. Vanta has a kind and talented team, and while some have prior security experience, many have been successful at Vanta without it. As Staff Product Manager for Upmarket Onboarding, you’ll own the vision, strategy, and execution for how Vanta onboards upmarket (mid-market and enterprise) customers. This highly strategic role sits at the center of Vanta’s upmarket motion, ensuring every customer experiences a tailored, intuitive, and fast path to seeing value in Vanta’s GRC platform. You’ll build AI-powered experiences to decrease onboarding time from months to days for our most sophisticated customers.What you’ll do as a Staff Product Manager at Vanta:Define and drive the vision for Vanta’s upmarket onboarding experience — helping organizations import, map, and configure, their security programs in VantaTranslate complexity into clarity — prioritize scalable solutions that deliver clarity and confidence throughout onboardingInnovate with AI — integrate AI into the core onboarding experience, making it proactive, intelligent, and scalableDeeply understand customers — partner directly with customers, prospects, and internal teams to uncover needs, test hypotheses and validate solutionsLead cross-functionally — partner with engineering, design, go-to-market and cross-functional product teams to drive alignment and execution across the customer journeyShape Vanta’s product culture — help define what great product management looks like as we scaleHow to be successful in this role:8+ years of product management experience, including building and scaling B2B SaaS productsExperience with leveraging AI/ML to solve customer problemsProven track record of driving large, cross-cutting initiatives successfullyDeep customer empathy and curiosity — you thrive on understanding complex workflows and simplifying them elegantlyExceptional written and verbal communication, including with executive stakeholdersLearner mindset - you have genuine excitement for building both AI and non-AI products, and the grit to experiment, iterate, and failBonus: Experience in B2B SaaS onboarding and activation and/or GRCWhat you can expect as a Vantan:Industry-competitive compensation100% covered medical, dental, and vision benefits with dependents coverage16 weeks fully-paid parental Leave for all new parentsHealth & wellness and remote workplace stipendsFamily planning benefits through Carrot Fertility401(k) matchingFlexible work hours and locationOpen PTO policy11 paid holidays in the USOffices in SF, NYC, London, Dublin, and SydneyTo provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar-stage growth companies. Final offer amounts are determined by multiple factors and may vary based on candidate location, skills, depth of work experience, and relevant licenses/credentials. #LI-remoteAt Vanta, we are committed to hiring diverse talent of different backgrounds and as such, it is important to us to provide an inclusive work environment for all. We do not discriminate on the basis of race, gender identity, age, religion, sexual orientation, veteran or disability status, or any other protected class. As an equal opportunity employer, we encourage and welcome people of all backgrounds to apply.About VantaWe started in 2018, in the wake of several high-profile data breaches. Online security was only becoming more important, but we knew firsthand how hard it could be for fast-growing companies to invest the time and manpower it takes to build a solid security foundation. Vanta was inspired by a vision to restore trust in internet businesses by enabling companies to improve and prove their security. From our early days automating security monitoring for compliance standards like SOC 2, HIPAA and ISO 27001 to creating the world's leading Trust Management Platform, our vision remains unchanged. Now more than ever, making security continuous—not just a point-in-time check— is essential. Thousands of companies rely on Vanta to build, maintain and demonstrate their trust— all in a way that's real-time and transparent.

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Distyl AI develops AI native technologies for humans & AI to collaborate to power the operations of the Global Fortune 1000.In just 24 months, we’ve rapidly grown to partner with some of the world’s largest enterprises—including F100 telecom, healthcare, manufacturing, insurance, and retail companies—delivering multiple AI deployments with $100M+ impact. Our platform, Distillery, along with our team of AI Engineers, Researchers, and Strategists, is pioneering AI-native systems of work, solving the most complex, high-stakes challenges at scale.Distyl is founded and led by proven leaders from companies like Palantir, Apple, and top national laboratories. We work in deep partnership with OpenAI, jointly going-to-market at the largest enterprises and collaborating, evaluating and testing the latest models. Backed by Lightspeed, Khosla, Coatue, industry leaders like Nat Friedman (former GitHub CEO), as well as board members of over 20+ F500s, Distyl is building the future of AI-powered enterprise operations.The RoleAs a Principal Advisor, you will partner directly with CXOs across telecom, insurance, financial services, healthcare, and retail to drive AI-led reinvention of customer operations. You’ll identify high-impact opportunities to improve service efficiency, customer satisfaction, and agent performance transforming contact centers into intelligent, AI-native experience hubs.This is a high-visibility role at the intersection of AI innovation and enterprise transformation. You will shape multi-million-dollar strategic initiatives, forge industry-defining partnerships, and influence how Fortune 1000 enterprises adopt AI to reimagine customer experience.Key ResponsibilitiesExecutive Advisory: Counsel CXOs on how AI can re-architect contact center and customer operations to drive measurable enterprise value (e.g., lower cost-to-serve, improved NPS, faster resolution times).Opportunity Creation: Identify and shape AI-led initiatives that deliver step-change impact across contact center automation, workforce orchestration, and real-time reasoning.CXO Engagement: Build and sustain deep, trusted relationships with customer experience, operations, and technology leaders.Strategic Deal-Making: Lead negotiations and close $XXmm+ partnerships that unlock $XXXmm+ in enterprise value through AI-native customer engagement.Account Development: Drive continued transformation efforts at key accounts to deepen Distyl’s impact and expand adoption.Market Presence: Be recognized as a thought leader in AI-driven CX transformation - tracking trends in conversational AI, automation, and intelligent customer experience systems.Technology & Culture Curiosity: Develop a deep understanding of Distyl’s AI capabilities, ethos, and mission and how they uniquely apply to customer experience transformation.Qualifications & ExperienceProven success leading large-scale customer experience or contact center transformation initiatives ($XXmm+ impact).Experience advising Fortune 1000 executives in CX, operations, or AI transformation.Deep understanding of contact center operations (e.g., workforce management, agent assist, case routing, QA, analytics).Exposure to AI-driven CX solutions such as generative AI assistants, intelligent automation, or reasoning-based decision systems.Exceptional communication and storytelling skills with both technical and non-technical audiences.Demonstrated resilience and adaptability in dynamic, high-stakes environments.Strong desire to work closely with technologists and continuously refine solutions based on enterprise feedback.Why Join Us?Redefine Customer Experience: Lead AI transformations that revolutionize how enterprises serve and engage millions of customers.Operate at the Highest Level: Engage directly with CEOs and CXOs to drive billion-dollar impact across industries.Shape Industry Standards: Partner with leading telecom, financial services, retail, and insurance enterprises to define the next generation of customer operations.High-Growth, High-Upside: Be a key leader in a hyper-growth AI company backed by the best in enterprise and AI.Mission-Driven, Elite Team: Join a culture of high ownership and deep impact, working alongside world-class AI engineers and strategists.

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About the TeamOpenAI’s mission is to build safe artificial general intelligence (AGI) which benefits all of humanity. This long-term undertaking brings the world’s best scientists, engineers, and business professionals into one lab together to accomplish this.In pursuit of this mission, our Go To Market (GTM) team is responsible for helping customers learn how to leverage and deploy our highly capable AI products across their business. The team is made of Sales, Solutions, Support, Marketing, and Partnership professionals that work together to create valuable solutions that will help bring AI to as many users as possible.About the RoleOur GTM team is uniquely positioned to help customers realize the transformative potential of advanced AI models for their businesses and end users. As part of the GTM Strategy & Operations team, you’ll play a critical role in guiding the GTM strategy and driving the operational efficiency to accomplish this mission.We’re seeking a Sales Strategy & Operations business partner role to support our Startups segment. In this role, you’ll serve as a trusted advisor to sales leadership, driving core operating cadences, delivering data-driven insights, and leading high-impact projects that accelerate growth across the startups motion. You’ll also collaborate cross-functionally with Finance, Enablement, Data and Growth Strategy teams to align efforts, drive efficiencies, and accelerate growth.This role is based in NYC. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.In this role, you'll:Drive core operating rhythms including forecasting, pipeline reviews, top account reviews, and monthly/quarterly business reviewsAnalyze performance data to identify trends, surface risks, and highlight growth opportunitiesPartner with sales leaders and cross-functional stakeholders to develop go-to market strategyManage planning efforts including territory design, resource allocation, and target settingLead initiatives that enhance seller productivity and optimize funnel performanceCollaborate with GTM Systems to assess, implement, and optimize sales processes and toolingWork closely with the data team to ensure data accuracy and availability for revenue-related activities.You might thrive in this role if you have:7+ years experience in revenue operations or strategy at a high-growth, technology companyProficiency in Salesforce.com and data analysis tools (e.g., SQL, Excel)Strong analytical skills with a focus on attention to detailExperience building territories, comp plans, and setting quotas for GTM teamsExceptional project management skills, with experience leading complex, cross-functional initiativesStrong communication skills and executive presenceAn understanding of the AI landscape, our applications, and the problems they solve for our customers.The ability to thrive in ambiguity and work autonomouslyExceptional organizational skillsThe ability to operate with high horsepower, be adept at frequent context switching and working on multiple projects at once with expansive ownership, and ruthless prioritizationAbout 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.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.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.