AI Software Engineer Jobs

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About UsAt Harmattan AI, we are a next-generation defense prime building autonomous and scalable defense systems. Driven by rigorous engineering developments of new defense products based on recent robotics and AI developments, we are on a steep growth trajectory. If you are interested in a career in a highly technical environment, thrive on pushing boundaries, and want to achieve ambitious goals, we would love to hear from you.About the RoleAs Operational Impact Manager, your mission is to ensure our defense solutions deliver maximum operational value in the field. You are the single point of accountability for operational adequacy: collecting feedback from users, identifying usage gaps, and translating insights into actionable products, new product areas and deployment improvements.Your work ensures that what we deliver is not just functional but mission-effective.ResponsibilitiesOperational Alignment: Ensure that Harmattan AI’s solutions are fully aligned with real-world operational requirements.Feedback Centralization: Act as the main point of contact for all feedback related to operational performance and impact.Impact Maximization: Identify and prioritize areas where improvements can significantly increase value for end-users.Cross-Team Liaison: Work closely with engineering, product managers, and deployment teams to channel field insights into system design and upgrades.Networking through forces: In close relation with Sales & Marketing, develop network with final users of Harmattan AI solutions to maximize feedback and lobbying.Sales & Marketing Interface: Collaborate with Sales/Marketing to ensure commercial narratives are rooted in operational reality and that field insights inform future positioning.Candidate Requirements5-10 years of military experience in field operations, systems integration, or user success roles, ideally in defense, aerospace, or robotics.Deep understanding of how high-tech systems are deployed and used in complex operational contexts, ability to identify areas for new products.Detail-oriented with excellent documentation and organizational skills.Strong communication and leadership skills, with the ability to motivate and guide teams toward success.We look forward to hearing how you can help shape the future of autonomous defense systems at Harmattan AI.

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About UsAt Harmattan AI, we are a next-generation defense prime building autonomous and scalable defense systems. Driven by rigorous engineering developments of new defense products based on recent robotics and AI developments, we are on a steep growth trajectory. If you are interested in a career in a highly technical environment, thrive on pushing boundaries, and want to achieve ambitious goals, we would love to hear from you.About the RoleAs a Product Manager at Harmattan AI, you will be at the heart of company strategy, as you will be in charge of product specification and roadmap based on market and technological analysis, as well as full scale development and industrialization of the product. You will be responsible for managing timelines, resources, and cross-functional collaboration to ensure market fit and successful delivery.ResponsibilitiesProduct Definition: Define product specification based on customer feedback, market analysis and technology; iterate and validate for technical, industrial and commercial feasibility.Project Management: Develop, maintain, and update project timelines, ensuring all deadlines are met during the whole lifecycle of the product.Technical Coordination: Oversee the architecture and the technical development of the system across R&D and industrialization phases, resolving challenges as they arise.Team Leadership: Inspire and manage the project team to maintain a high level of performance and quality.Cross-functional Collaboration: Act as the key interface between technical teams, the product team, and other stakeholders (especially customers, sales, marketing and program) to align efforts and ensure tenders and projects success.Resource Allocation: Manage the allocation of engineering and other resources to meet project goals effectively.Candidate RequirementsMaster’s degree or PhD in Electrical Engineering, Computer Science, or a related field, with at least 5 years of experience in technical roles.Experience and ecosystem knowledge in one of the following field is highly desirable: defense systems, UAV/UxV/robotics, aerospace, radars/RF/radio, optronics, PNT, AI, or related industries.Customer and product-oriented.Proven experience managing cross-functional, high-complexity aerospace, defense or robotics projects that have reached industrialization.Strong technical background with the ability to understand and resolve complex engineering challenges.Detail-oriented with excellent documentation and organizational skills.Strong communication and leadership skills, with the ability to motivate and guide teams toward success.We look forward to hearing how you can help shape the future of autonomous defense systems at Harmattan AI.

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About Together AI Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers and engineers in our journey in building the next generation AI infrastructure. As a Senior Developer Productivity Engineer at Together AI, you’ll own the systems and tooling that empower engineers to ship high-quality software faster. You’ll optimize workflows, enhance testing, enable reliable and reusable CI/CD, and work with developers to build out stable local environments. Your work will directly impact release velocity, developer happiness, and cross-cutting enablement ensuring engineers spend less time churning on infrastructure and more time building. Requirements Bachelor’s degree in Computer Science, Engineering, or related field or 5+ years of industry experience in DevOps/SRE, developer tooling, or infrastructure engineering. Proficiency in Python, Go, and JavaScript/TypeScript (for tooling, automation, and FE enablement). Strong experience with CI/CD tools (GitHub Actions, ArgoCD, Gitops methodology) for building scalable, reusable pipelines. Experience with local dev environment tooling (e.g., Skaffold) and containerized development workflows Experience with creating starter templates in coordination with engineering for enabling rapid spin up of new services  Strong ownership and a builder mindset, you love creating tools others rely on. Problem-solving rigor and attention to detail (e.g., diagnosing flaky tests, build latency). Nice to have Kubernetes expertise (EKS, K3s) and optimizing containerized builds. Infrastructure as Code (Terraform, Ansible, Pulumi). Front-end tooling familiarity (e.g., React, Next.js, Jest) to optimize FE dev workflows. Monitoring/observability (Prometheus, Grafana, Honeycomb) to debug bottlenecks. Responsibilities Automate CI/CD pipelines for zero-downtime deployments (e.g., Canary, Blue/Green). Create smart pipelines encouraging reusable workflows and simplicity Streamline build/test/deploy workflows. Build shared tooling (CLIs, codegen, IDE plugins) to accelerate teams. Reduce friction (e.g., faster builds, hot-reload, test tooling). Collaborate with developers to identify pain points and streamline workflows. Champion best practices through documentation.   Compensation We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $150,000 - $230,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. Equal Opportunity Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. Please see our privacy policy at https://www.together.ai/privacy

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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 the Head of Developer Relations at Anthropic, you will build and lead the team responsible for how developers discover, onboard, build, and scale applications using Claude and Anthropic's suite of AI technologies. This role will be pivotal in growing our developer ecosystem, gathering crucial feedback to inform product development, and ensuring our AI technologies are used responsibly across a diverse range of implementations. You'll set the vision and strategy for Anthropic's developer experience and community, including partners, customers, and independent developers. Your success in this role will directly shape Anthropic's growth trajectory and market position while ensuring our AI technologies are implemented responsibly across countless use cases. Building strong relationships between our developer community and internal teams will be essential as we advance our mission of creating reliable, interpretable AI that follows human intent. Responsibilities Set the Vision and Drive Strategic Impact  Own and develop the near and long-term strategy for how developers discover, onboard, build, and scale applications with Claude and Anthropic's APIs Pioneer the definition of what world-class AI developer relations looks like in this emerging field Create frameworks for measuring developer success that align with both business objectives and our mission of safe, beneficial AI Prioritize community building and growth initiatives based on data, feedback, and the needs of both developers and Anthropic's business objectives Collaborate with product and engineering leadership to ensure developer needs inform our roadmap Build and Lead a World-Class Global Team Recruit, inspire and scale a global high-impact developer relations organization with global reach and representation across key markets Foster a collaborative culture that embodies Anthropic's values while driving innovation in how we engage developers Partner with customers, partners, and internal stakeholders to execute on our developer experience strategy Create and implement scalable processes and organizational structures that evolve as both the team and developer ecosystem expand  Establish clear growth paths and professional development opportunities for team members that align personal advancement with delivering exceptional value  Drive Scaled Developer Adoption and Success Understand the diverse needs of customers, partners, and stakeholders across different segments, from individual developers to enterprise organizations Partner strategically with GTM, Sales, and Marketing teams to create unified developer-focused campaigns that drive adoption while reinforcing Anthropic's position in the market Organize and lead high-impact developer events, workshops, and community activities that introduce Claude to strategic developer communities Generate high-quality technical content including sample apps, tutorials, documentation, integration guides, and best practices that demonstrate how to use Claude responsibly and effectively Drive Alignment and Innovation Through Cross-Functional Leadership Act as the primary advocate for developer needs at the executive level, translating developer feedback into strategic initiatives Orchestrate complex cross-functional initiatives that require alignment across multiple teams, balancing differing priorities while maintaining focus on developer success Collaborate with Research to translate AI capabilities into accessible developer tools and educational resources Partner with Communications and Marketing teams to amplify developer success stories and shape Anthropic's narrative in the developer community Ensure best practices for responsible AI use are adopted by developers building with Claude You may be a good fit if you: Have 10+ years of experience building and leading developer relations, developer experience, or technical product teams, with a proven track record of measurably growing developer ecosystems Are technically credible—able to deeply understand AI/ML concepts and translate complex technical ideas for various audiences ranging from individual developers to enterprise executives Are passionate about AI's potential and deeply committed to ensuring it's developed responsibly, with a genuine interest in AI safety and ethical considerations Have deep insight into developer psychology and behavior—knowing how to reach developers through the right channels, build authentic affinity for products, and design education programs that drive meaningful adoption Have hands-on technical abilities—capable of creating your own code demos, critically reviewing developer samples for quality and best practices, and providing specific technical feedback that elevates the work of your team Are a collaborative leader who can influence across teams without direct authority, building strong relationships with stakeholders at all levels Have experience scaling teams in high-growth environments and can adapt quickly as priorities evolve Strong Candidates May Have: Experience working specifically with large language models or generative AI Background in AI safety, ethics, or responsible AI development Experience in building developer communities around emerging technologies Public speaking experience at industry conferences and events Content creation experience (technical writing, video tutorials, etc.) The expected salary range for this position is:Annual Salary:$385,000—$460,000 USDLogistics 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.

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Who are we?Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.Join us on our mission and shape the future!Why this role?Agentic LLM systems are being deployed widely across enterprise companies including through Cohere’s North platform. The Next Generation Agents team is exploring the horizon of modeling techniques to improve agent capabilities (e.g., deep-research, learning-from-experience, continual learning, and memory). We work in an empirical-research-driven manner to develop production solutions. Much of the work is based on improving beyond the current state-of-the-art in a setting where we know this will bring value to our customers.As a part of this team, you will help drive exploration and development of agentic techniques. You will have the opportunity to build the models that power our agentic solutions. This includes developing data-generation techniques for post-training (SFT and RL*) Cohere’s models.Please Note: We have offices in London, Toronto, San Francisco, and New York, but we also embrace being remote-friendly! There are no restrictions on where you can be located for this role.As a Member of Technical Staff for Next Generation Agents you will:Design and develop novel agentic solutionsImprove upon SOTA on hard agentic tasksResearch the next-generation of on-line learning-from-experience self-improvementWork with partner teams (Reasoning, Post-training, Pre-training, etc.) to improve performance of agentic systemWork with an amazing team of researchers and engineers pushing the boundariesYou may be a good fit if you have:Strong software engineering skillsProficiency in Python and have some experience with ML-related code (e.g., pytorch, numpy, etc.)Experience with LLMs and agentic frameworksExperience with post-training LLMs (SFT, PEFT, or RL*)Experience with building synthetic data generation pipelinesIf some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you want to work really hard on a glorious mission with teammates that want the same thing, Cohere is the place for you.We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.Full-Time Employees at Cohere enjoy these Perks:🤝 An open and inclusive culture and work environment 🧑‍💻 Work closely with a team on the cutting edge of AI research 🍽 Weekly lunch stipend, in-office lunches & snacks🦷 Full health and dental benefits, including a separate budget to take care of your mental health 🐣 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement🏙 Remote-flexible, offices in Toronto, New York, San Francisco and London and co-working stipend✈️ 6 weeks of vacationNote: This post is co-authored by both Cohere humans and Cohere technology.

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Who are we?Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.Join us on our mission and shape the future!Why this role?As a Machine Learning Engineer specializing in pretraining data, you will play a pivotal role in developing the data pipeline that underpins Cohere’s advanced language models. Your responsibilities will encompass the end-to-end management of training data, including ingestion, cleaning, filtering, and optimization, as well as data modeling to ensure datasets are structured and formatted for optimal model performance. You will work with diverse data sources—such as web data, code data, multilingual corpora, and synthetic data—to ensure their quality, diversity, and reliability.In this role, you will design and implement scalable, robust pipelines for data processing, conduct data ablations to evaluate quality, and experiment with data mixtures to enhance model performance. By combining research and engineering, you will bridge the gap between raw data and cutting-edge AI models, directly contributing to improvements in critical training metrics like throughput and accelerator utilization.Your work will be essential to Cohere’s mission of delivering efficient and reliable language understanding and generation capabilities, driving innovation in natural language processing. If you are passionate about transforming data into the foundation of AI systems, this role offers a unique opportunity to make a meaningful impact.Please Note: We have offices in London, Toronto, San Francisco, New York but also embrace being remote-friendly! There are no restrictions on where you can be located for this role.As a Machine Learning Engineer (Pre-Training Data), you will:Design and build scalable data pipelines to ingest, clean, filter, and optimize diverse datasets, including web data, code data, multilingual corpora, and synthetic data.Conduct data ablations to assess data quality and experiment with data mixtures to enhance model performance.Develop robust data modeling techniques to ensure datasets are structured and formatted for optimal training efficiency.Research and implement innovative data curation methods, leveraging Cohere’s infrastructure to drive advancements in natural language processing.Collaborate with cross-functional teams, including researchers and engineers, to ensure data pipelines meet the demands of cutting-edge language models.You may be a good fit if you have:Strong software engineering skills, with proficiency in Python and experience building data pipelines.Familiarity with data processing frameworks such as Apache Spark, Apache Beam, Pandas, or similar tools.Experience working with large-scale datasets, including web data, code data, and multilingual corpora.Knowledge of data quality assessment techniques and experimentation with data mixtures.A passion for bridging research and engineering to solve complex data-related challenges in AI model training.Bonus: paper at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP).If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you want to work really hard on a glorious mission with teammates that want the same thing, Cohere is the place for you.We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.Full-Time Employees at Cohere enjoy these Perks:🤝 An open and inclusive culture and work environment 🧑‍💻 Work closely with a team on the cutting edge of AI research 🍽 Weekly lunch stipend, in-office lunches & snacks🦷 Full health and dental benefits, including a separate budget to take care of your mental health 🐣 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement🏙 Remote-flexible, offices in Toronto, New York, San Francisco and London and co-working stipend✈️ 6 weeks of vacationNote: This post is co-authored by both Cohere humans and Cohere technology.

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About Appier  Appier is a software-as-a-service (SaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information. About AdCreative.ai AdCreative.ai  is a leading AI-powered platform transforming creative production for brands around the world. With a multidisciplinary team of over 80 professionals, we are building the future at the intersection of design and technology. As our design team continues to grow, we are looking for a senior creative leader to join us at our Istanbul headquarters. About the role This position is designed for a creative expert who will play a key role in supporting and guiding both the creative and operational workflows of the design department. More than just producing, we're looking for someone who will take initiative, bring a vision, and raise the overall quality of our creative output. The Senior Creative Strategist will work closely with the design team, collaborate across departments, and contribute to high-impact projects—bringing both speed and creative depth to everything we produce. Work Setup: This role operates on a hybrid model, requiring you to work from our Istanbul office at least twice a week. Office Address: 3F, Bebek, Cevdet Paşa Cd. No:69, 34342 Beşiktaş/İstanbul District: Beşiktaş City: İstanbul Responsibilities  Take an active role in idea development, design execution, and iteration within UI/UX projects Contribute to the development and refinement of brand visual language and product experience Support the creative team by providing feedback and ensuring high design quality Approach each creative project with both aesthetic and functional insight Provide leadership in creative workflows and collaborate effectively across disciplines Integrate AI-powered tools or new-generation design technologies when appropriate About you  [Minimum qualifications] Minimum 5 years of professional experience in creative production, digital design, or UI/UX Ability to work across multiple creative disciplines with strong aesthetic sensibility Proficient in design tools such as Adobe Creative Cloud and other industry-standard platforms Strong communication skills, a high sense of responsibility, and the ability to make effective decisions within a team Fluent in English (both written and verbal) Detail-oriented mindset with a proactive and solution-driven approach to creative challenges [Preferred qualifications] Familiarity with AI-based creative tools (Midjourney, RunwayML, ChatGPT, etc.) Prior experience in digital product design, experience design, or creative strategy Ability to think holistically about project flows, content structures, and user journeys   Your Portfolio Matters Most. For this pivotal role, your portfolio is paramount—it's where your vision, impact, and unique creative voice truly shine. We are eager to see how your work reflects: Exceptional Production Quality: Showcasing meticulous execution and a keen eye for detail. Refined Aesthetic Sensibility: Demonstrating a sophisticated understanding of design principles and visual harmony. Multidimensional Thinking: Revealing your ability to approach challenges with innovative, strategic, and user-centric solutions. Please ensure your portfolio is readily accessible and thoughtfully curated, as it will be a cornerstone of our evaluation process.   #LI-SW1

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🚀 About Us We’re StackBlitz! We’re the team that brought you WebContainers, the first-of-its-kind technology that made it possible to run Node.js right inside your browser. That breakthrough kicked off our journey in 2019, and it’s what powers the blazing-fast online IDE used by over 1 million developers every month. But we didn’t stop there. We doubled down on everything we learned and built Bolt.new — the fastest way to go from idea to production without writing traditional code. It’s a next-gen, AI-powered app builder that helps you create, edit, and deploy full-stack web and mobile apps instantly, right in your browser. No installs. No setup. Just smart automation and instant dev environments that let you move at the speed of thought. We’re a fully remote team, globally distributed, deeply collaborative, and seriously passionate about building the future of software development. This is your chance to join a small team with a big vision. If you love shipping fast, solving real problems, and pushing the boundaries of what’s possible, we’d love to meet you. ✨ About This Opportunity We’re looking for a Senior Ruby on Rails Engineer based in the US or EU to help build the backend systems that power StackBlitz.com and Bolt.new. In this role, you’ll work on platform features, developer infrastructure, and integrations that enable millions of developers around the world to build software entirely in the browser. You’ll be part of a small, ambitious team focused on making software development more accessible to everyone. If you enjoy building robust systems, shipping high-quality code, and collaborating across teams — this could be the role for you. 🛠️ How You'll Contribute  Improve the scalability, reliability, and performance of our Ruby on Rails application Design and optimize data storage using PostgreSQL and object storage services Build features for teams, organizations, and developer communities Develop integrations with external platforms to extend our product ecosystem Help review and shape code from peers to ensure quality, security, and best practices 💡 Qualifications 5+ years of professional experience with Ruby on Rails 5+ years of experience with PostgreSQL (or similar relational databases) Experience with AWS and modern cloud infrastructure Familiarity with CSS, SASS, HTML, and other templating/styling languages Experience building web applications with REST or GraphQL APIs Strong communication skills — especially when explaining technical topics Strong verbal and written English communication skills are required, as this role involves frequent collaboration with team members, stakeholders, and customers where English is the primary working language. 🎯 Bonus Points  Experience with Node.js or TypeScript Familiarity with Cloudflare Workers or edge infrastructure Interest in working with AI or LLMs Experience integrating with GitHub APIs or other version control systems 📌 A Few Notes You do not need a college degree to apply You do not need to be located in the U.S. — we’re remote-friendly You do not need to meet every qualification listed above. If this role excites you, we want to hear from you.

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🚀 About Us We’re StackBlitz! We’re the team that brought you WebContainers, the first-of-its-kind technology that made it possible to run Node.js right inside your browser. That breakthrough kicked off our journey in 2019, and it’s what powers the blazing-fast online IDE used by over 1 million developers every month. But we didn’t stop there. We doubled down on everything we learned and built Bolt.new — the fastest way to go from idea to production without writing traditional code. It’s a next-gen, AI-powered app builder that helps you create, edit, and deploy full-stack web and mobile apps instantly, right in your browser. No installs. No setup. Just smart automation and instant dev environments that let you move at the speed of thought. We’re a fully remote team, globally distributed, deeply collaborative, and seriously passionate about building the future of software development. This is your chance to join a small team with a big vision. If you love shipping fast, solving real problems, and pushing the boundaries of what’s possible, we’d love to meet you. ✨ About This Opportunity Join us on the forefront of AI-powered development as we revolutionize how software gets built. As a Senior Applied Engineer, you will be the driving force behind our AI agents that transform natural language into production ready applications. You will work with state-of-the art LLMs, pioneering new ways to make AI understand, reason about, and generate complex full-stack applications. This isn’t just about integrating APIs, instead it’s about pushing the boundaries of what AI can do to empower our users to build stunning apps. As part of this role, you will work in an interesting problem space and tackle challenges like maintaining context across large codebases, orchestrating multi-step workflows that feel intuitive to users, and making sure our AI agents can handle everything from simple UI changes to complex architectural decisions. Your work will directly impact how millions of users bring their ideas to life. This is a unique opportunity to shape the future of AI-assisted development in a fully remote, globally distributed team that ships fast and thinks big. If you are passionate about making AI more capable, reliable, and accessible to builders everywhere, this role offers the perfect opportunity to innovate and see your work deployed at scale. 🛠️ How You'll Contribute  Develop AI Agents: Design and implement AI agent features and extend existing agents with new capabilities. This includes managing the agent’s context (using techniques like sub-agents, retrieval based context management, sliding context windows, etc.) so it can handle long conversations or large knowledge and code bases efficiently. Integrate Multiple LLM Providers: Leverage models from providers such as OpenAI (GPT series), Anthropic (Claude), and Google (Gemini). Quantitatively evaluate and choose the best model for a given task, and incorporate new model features or improvements (often by beta-testing new releases and assessing their strengths). Tool Use and Workflow Orchestration: Enable the AI agent to call external tools and APIs safely and effectively. Implement structured approaches to allow the agent to perform actions like web searches, database queries, fetch additional information, or other domain-specific operations. Utilize frameworks such as Vercel’s AI SDK, LangGraph and others for building multi-step AI workflows. Cross-Functional Collaboration: Work closely with your peer software engineers and product managers to embed AI capabilities into the product lifecycle. Ensure that AI-driven features are production-ready, meaning they are efficient, maintainable, and well-monitored in deployment. Continuous Improvement and Evaluation: Stay up-to-date with the latest research in NLP and LLMs, and experiment with novel techniques (e.g. new prompting strategies, context handling methods, model fine-tuning opportunities). Continuously evaluate the AI system’s performance using systematic tests and user feedback, and iterate on prompts, agents and workflows to improve output quality and reliability (for example, by developing automated LLM evaluation benchmarks). 💡 Qualifications TypeScript Proficiency: Strong proficiency in TypeScript is essential, as it's our primary programming language for building AI agent systems and integrations. LLM Experience: Hands-on experience working with Large Language Models (LLMs) and understanding their capabilities and limitations. Proven experience building applications or systems powered by LLMs. Prompt Engineering: Deep understanding of prompt engineering best practices to guide LLM behavior. Able to craft, refine, and optimize prompts for different tasks and models. Software Engineering Skills: Solid software engineering fundamentals with experience in building production-ready systems. Problem-Solving: Strong analytical and problem-solving skills with the ability to debug complex AI behaviors. Strong verbal and written English communication skills are required, as this role involves frequent collaboration with team members, stakeholders, and customers where English is the primary working language. 🎯 Bonus Points  DSPy Framework: Familiarity with DSPy (Declarative Self-improving Python) for building modular AI systems and optimizing prompts programmatically. Machine Learning Background: Understanding of ML fundamentals and experience with model evaluation metrics. Open Source Contributions: Experience contributing to or maintaining open-source AI/ML projects. Research Background: Experience reading and implementing techniques from AI/ML research papers. 📌 A Few Notes You do not need a college degree to apply You do not need to be located in the U.S. — we’re remote-friendly You do not need to meet every qualification listed above

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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 SoHo neighborhood of New York, the Mission District in San Francisco, and East Liberty in Pittsburgh.The RoleOur generative AI-powered products are revolutionizing the practice of medicine, and we’re looking for a highly motivated Senior Data Scientist to join our growing US-based Data Science & BI team. Your work will be instrumental in driving product strategy, directly influencing how healthcare professionals engage with patient data.What You'll DoData Analysis and Insight GenerationExtract meaningful insights and identify trends and patterns relevant to our business and product, by collecting, cleaning, and analyzing internal and external dataEnsure end-to-end visibility and understanding of our AI generation pipelines, from internal quality metrics to automated assessment in production.Investigate and correct issues identified through data operations monitors, tools, and reports.Advanced Data ModelingUser Behavior Modeling: Identify user patterns and insights by analyzing user interactions, engagement metrics, funnel analysis, etc. for product improvement and feature development. It is critical for data to drive increased user engagement and retention.A/B Testing: Design and analyze A/B tests to evaluate the effectiveness of product features and design changes. AI model evaluation: Design and analyze metrics to evaluate our AI models, guide the team on gaps in evaluation processes, and drive solutions to improve measurable outcomes.Cross-Functional Leadership and CollaborationCollaboration with Product Teams: Work closely with product managers, designers, and engineers to translate data insights into product priorities.Serve as a domain expert for the business context of our analytics data, sharing your understanding of the assumptions and limitations of our business metrics. Continually enhance our understanding of the business and product, by identifying and filling gaps in our data sources. This includes working closely with multidisciplinary teams such as product, engineering, partner success, and the executive team.What You'll Bring8+ years using Python, R, SQL for analytics5+ years in product-facing roles, driving product outcomes through A/B testing, defining aggressive project and company-level goals, and helping teams achieve them.Experience with  data visualization tools, both BI tools (e.g. Tableau, Looker, Sigma) and code-based tools (e.g. Seaborn, ggplot2)Data AdvocateExcellent communicator capable of effectively delivering quantitative findings to non-technical stakeholders in a clear and compelling fashion.A team player, comfortable assisting others across the organization in solving data problems and answering questions with dataAbility to prioritize amidst changing priorities in a fast moving environmentDomain-relevant KnowledgeKnowledge of healthcare settings, electronic health records (EHR), and healthcare billing are all a plusExperience with common approaches to measure and drive user engagement is a plus Must 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 are eager to learn new things and recognize 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!Diversity & InclusionAbridge is an equal opportunity employer. Diversity and inclusion is at the core of what we do. We actively welcome applicants from all backgrounds (including but not limited to race, gender, educational background, and sexual orientation).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 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 We are seeking a Machine Learning Infrastructure Engineer to join our Safeguards organization, where you'll build and scale the critical infrastructure that powers our AI safety systems. You'll work at the intersection of machine learning, large-scale distributed systems, and AI safety, developing the platforms and tools that enable our safeguards to operate reliably at scale. As part of the Safeguards team, you'll design and implement ML infrastructure that powers Claude safety. Your work will directly contribute to making AI systems more trustworthy and aligned with human values, ensuring our models operate safely as they become more capable. Responsibilities: Design and build scalable ML infrastructure to support real-time and batch classifier and safety evaluations across our model ecosystem Build monitoring and observability tools to track model performance, data quality, and system health for safety-critical applications Collaborate with research teams to productionize safety research, translating experimental safety techniques into robust, scalable systems Optimize inference latency and throughput for real-time safety evaluations while maintaining high reliability standards Implement automated testing, deployment, and rollback systems for ML models in production safety applications Partner with Safeguards, Security, and Alignment teams to understand requirements and deliver infrastructure that meets safety and production needs Contribute to the development of internal tools and frameworks that accelerate safety research and deployment You may be a good fit if you: Have 5+ years of experience building production ML infrastructure, ideally in safety-critical domains like fraud detection, content moderation, or risk assessment Are proficient in Python and have experience with ML frameworks like PyTorch, TensorFlow, or JAX Have hands-on experience with cloud platforms (AWS, GCP) and container orchestration (Kubernetes) Understand distributed systems principles and have built systems that handle high-throughput, low-latency workloads Have experience with data engineering tools and building robust data pipelines (e.g., Spark, Airflow, streaming systems) Are results-oriented, with a bias towards reliability and impact in safety-critical systems Enjoy collaborating with researchers and translating cutting-edge research into production systems Care deeply about AI safety and the societal impacts of your work Strong candidates may have experience with: Working with large language models and modern transformer architectures Implementing A/B testing frameworks and experimentation infrastructure for ML systems Developing monitoring and alerting systems for ML model performance and data drift Building automated labeling systems and human-in-the-loop workflows Experience in trust & safety, fraud prevention, or content moderation domains Knowledge of privacy-preserving ML techniques and compliance requirements Contributing to open-source ML infrastructure projects Deadline to apply: None. Applications will be reviewed on a rolling basis. The expected salary range for this position is:Annual Salary:$300,000—$405,000 USDLogistics 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.

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We are seeking a Machine Learning Engineer Specialist- AI Trainer to join one of our clients. You'll play a critical role in advancing AI models by reviewing and refining outputs generated by cutting-edge large language models (LLMs). By applying your expertise in machine learning, data science, and technical domains, you'll ensure that model outputs maintain high standards of technical accuracy, relevance, and consistency. This role combines analytical thinking with hands-on data quality work, offering research-grade insights into model evaluation and improvement. Responsibilities:- Use internal tools to evaluate and critique AI-generated outputs, focusing primarily on technical and scientific domains.- Review complex model responses and suggest improvements with an emphasis on clarity, correctness, and domain relevance.- Contribute to the curation and refinement of datasets used to train and fine-tune AI/ML models.- Collaborate closely with cross-functional AI teams to identify data patterns, edge cases, and model blind spots.- Stay updated on model behaviors and guidelines as they evolve, applying sound judgment to nuanced annotation tasks. Qualifications:- MS or PhD in Computer Science, Machine Learning, Data Science, or a related technical field.- Alternatively, 3+ years of professional experience as a Machine Learning Engineer or Data Scientist at a top-tier company (e.g., FAANG, leading startups, AI labs).- Strong grasp of core machine learning concepts, model training workflows, and evaluation strategies.- Experience with LLMs, NLP systems, or applied ML in production settings is highly desirable.- Ability to assess complex technical information and provide constructive, detail-oriented feedback.- Excellent written communication skills, both for technical and explanatory writing.- Ability to operate independently with sound judgment under ambiguous conditions.- Passion for AI development, data quality, and technological advancement. Nice to have:- Publications in machine learning, AI, or computer science journals/conferences.- Experience working with human feedback loops in ML systems (e.g., RLHF, data annotation, model alignment).- Teaching, mentoring, or technical writing experience in ML or related technical domains.- Exposure to generative AI applications or prompt engineering. About RYZ Labs:RYZ Labs is a startup studio built in 2021 by two lifelong entrepreneurs. The founders of RYZ have worked at some of the world's largest tech companies and some of the most iconic consumer brands. They have lived and worked in Argentina for many years and have decades of experience in Latam. What brought them together is the passion for the early phases of company creation and the idea of attracting the brightest talents in order to build industry-defining companies in a post-pandemic world. Our teams are remote and distributed throughout the US and Latam. They use the latest cutting-edge technologies in cloud computing to create applications that are scalable and resilient. We aim to provide diverse product solutions for different industries, planning to build a large number of startups in the upcoming years. At RYZ, you will find yourself working with autonomy and efficiency, owning every step of your development. We provide an environment of opportunities, learning, growth, expansion, and challenging projects. You will deepen your experience while sharing and learning from a team of great professionals and specialists. Our values and what to expect:- Customer First Mentality - every decision we make should be made through the lens of the customer.- Bias for Action - urgency is critical, expect that the timeline to get something done is accelerated.- Ownership -  step up if you see an opportunity to help, even if not your core responsibility. - Humility and Respect - be willing to learn, be vulnerable, and treat everyone who interacts with RYZ with respect.- Frugality - being frugal and cost-conscious helps us do more with less- Deliver Impact - get things done in the most efficient way. - Raise our Standards - always be looking to improve our processes, our team, and our expectations. The status quo is not good enough and never should be.

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We are seeking a Mechanical Engineering Specialist - AI Trainer to join one of our clients. You'll play a crucial role in advancing the capabilities of AI models by evaluating and refining responses in the field of mechanical engineering. Your expertise in areas such as thermodynamics, statics, dynamics, mechanics of materials, and fluid systems will be essential to ensuring the technical accuracy and quality of AI outputs. This role requires domain knowledge, attention to detail, and a passion for improving data quality in AI systems. Responsibilities:- Evaluate and critique AI-generated responses in mechanical engineering, ensuring clarity, correctness, and relevance.- Provide expert feedback on topics like materials science, fluid mechanics, mechanical design, and manufacturing processes.- Help curate and annotate datasets used to fine-tune models with mechanical engineering content.- Identify edge cases, model errors, and technical inaccuracies in engineering outputs.- Collaborate with interdisciplinary AI teams to enhance model understanding and response quality. Qualifications:- PhD or MS in Mechanical Engineering or a closely related field.- Alternatively, 3+ years of professional experience as a Mechanical Engineer in academia, industry, or applied R&D settings.- Solid understanding of mechanical engineering principles, design practices, and simulation tools.- Strong ability to explain complex concepts clearly in writing.- Comfortable with ambiguous tasks and capable of exercising independent judgment in technical assessments.- Excellent attention to detail, especially in technical communication and numerical accuracy. Nice to have:- Experience with CAD tools, FEA, CFD, or robotics systems.- Teaching, tutoring, or curriculum development experience in mechanical engineering.- Publications or technical writing in engineering disciplines.- Exposure to generative AI systems or LLMs.- Experience with RLHF or data annotation for technical domains. About RYZ Labs:RYZ Labs is a startup studio built in 2021 by two lifelong entrepreneurs. The founders of RYZ have worked at some of the world's largest tech companies and some of the most iconic consumer brands. They have lived and worked in Argentina for many years and have decades of experience in Latam. What brought them together is the passion for the early phases of company creation and the idea of attracting the brightest talents in order to build industry-defining companies in a post-pandemic world. Our teams are remote and distributed throughout the US and Latam. They use the latest cutting-edge technologies in cloud computing to create applications that are scalable and resilient. We aim to provide diverse product solutions for different industries, planning to build a large number of startups in the upcoming years. At RYZ, you will find yourself working with autonomy and efficiency, owning every step of your development. We provide an environment of opportunities, learning, growth, expansion, and challenging projects. You will deepen your experience while sharing and learning from a team of great professionals and specialists. Our values and what to expect:- Customer First Mentality - every decision we make should be made through the lens of the customer.- Bias for Action - urgency is critical, expect that the timeline to get something done is accelerated.- Ownership -  step up if you see an opportunity to help, even if not your core responsibility. - Humility and Respect - be willing to learn, be vulnerable, and treat everyone who interacts with RYZ with respect.- Frugality - being frugal and cost-conscious helps us do more with less- Deliver Impact - get things done in the most efficient way. - Raise our Standards - always be looking to improve our processes, our team, and our expectations. The status quo is not good enough and never should be.

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We are seeking a Music Specialist - AI Trainer to join one of our clients. You'll play a key role in shaping the future of AI-powered creativity by evaluating and refining music-related outputs generated by advanced AI systems. With your deep expertise in composition, music theory, and production, you will ensure the technical, stylistic, and conceptual accuracy of the musical data used to train and enhance machine learning models. This unique opportunity allows you to apply your artistic judgment and analytical rigor at the intersection of music and AI. Responsibilities:- Evaluate AI-generated musical content for accuracy, creativity, musicality, and adherence to genre/style.- Use internal tools to score, annotate, and critique musical examples across various formats and tasks (e.g., compositions, arrangements, melodic or harmonic completions).- Provide expert feedback on structure, harmony, orchestration, and production quality.- Help curate, refine, or author musical examples across multiple genres and traditions to support training datasets.- Collaborate with AI and engineering teams to refine annotation protocols and evaluation frameworks.- Stay adaptable as task requirements evolve and model capabilities advance. Qualifications:- PhD in Composition, Experimental Music, Music Theory, Music Technology, or a related discipline.- Exceptional aural and analytical skills, with the ability to dissect and interpret music accurately.- Hands-on production expertise, fluent with DAWs (e.g., Logic, Ableton, Pro Tools), mixing, arranging, and digital synthesis techniques.- Genre versatility, with demonstrated fluency in styles including classical, jazz, pop, EDM, film/game scores, world music, and experimental idioms.- Deep understanding of harmony, form, orchestration, and style, with the ability to critique or create musical material from a structural perspective.- Strong pedagogical instincts, with experience in teaching, tutoring, or mentoring in musical analysis or creative practice.- Interest or experience in AI-assisted music tasks, such as evaluating model outputs, tagging musical features, or generating example-based training data. Nice to have:- Released works (e.g., albums, EPs) or notable professional credits (e.g., commissions, film/game scoring, major live performances).- Published academic work in music theory, cognition, or technology.- Experience with notation software (e.g., Sibelius, Finale, Dorico) or music engraving.- Familiarity with computational musicology, MIR, or symbolic music representations (e.g., MIDI, MusicXML). About RYZ Labs:RYZ Labs is a startup studio built in 2021 by two lifelong entrepreneurs. The founders of RYZ have worked at some of the world's largest tech companies and some of the most iconic consumer brands. They have lived and worked in Argentina for many years and have decades of experience in Latam. What brought them together is the passion for the early phases of company creation and the idea of attracting the brightest talents in order to build industry-defining companies in a post-pandemic world. Our teams are remote and distributed throughout the US and Latam. They use the latest cutting-edge technologies in cloud computing to create applications that are scalable and resilient. We aim to provide diverse product solutions for different industries, planning to build a large number of startups in the upcoming years. At RYZ, you will find yourself working with autonomy and efficiency, owning every step of your development. We provide an environment of opportunities, learning, growth, expansion, and challenging projects. You will deepen your experience while sharing and learning from a team of great professionals and specialists. Our values and what to expect:- Customer First Mentality - every decision we make should be made through the lens of the customer.- Bias for Action - urgency is critical, expect that the timeline to get something done is accelerated.- Ownership -  step up if you see an opportunity to help, even if not your core responsibility. - Humility and Respect - be willing to learn, be vulnerable, and treat everyone who interacts with RYZ with respect.- Frugality - being frugal and cost-conscious helps us do more with less- Deliver Impact - get things done in the most efficient way. - Raise our Standards - always be looking to improve our processes, our team, and our expectations. The status quo is not good enough and never should be.

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We are seeking a Neuroscience Specialist- AI Trainer. You will play an essential role in supporting the training of AI models focused on cognitive science, brain function, and neural networks by reviewing expert content. Your expertise in neuroscience will ensure the accurate understanding and representation of brain-behavior relationships, disorders, and therapies in AI outputs. Responsibilities:- Evaluate AI-generated neuroscience content across domains such as cognitive psychology, neuroanatomy, and pharmacology.- Provide feedback based on the latest neuroscientific understanding.- Contribute to the development of tools for curating neuro-related content.- Review academic and clinical neuroscience topics for relevance and accuracy.- Apply critical reasoning to identify gaps in AI outputs and suggest improvements. Qualification:- PhD in Neuroscience, Cognitive Science, or a related field.- Familiarity with neuroimaging, neuropsychology, or neural modeling.- Strong writing and research abilities.- Experience in simplifying complex neuroscience concepts for learners.- Passionate about integrating AI in education and research. Nice to have:- Peer-reviewed publications in neuroscience.- Experience teaching or tutoring in neuro fields.- Background in science communication or medical writing.- Exposure to brain-computer interface or neuro-AI research. About RYZ Labs:RYZ Labs is a startup studio built in 2021 by two lifelong entrepreneurs. The founders of RYZ have worked at some of the world's largest tech companies and some of the most iconic consumer brands. They have lived and worked in Argentina for many years and have decades of experience in Latam. What brought them together is the passion for the early phases of company creation and the idea of attracting the brightest talents in order to build industry-defining companies in a post-pandemic world. Our teams are remote and distributed throughout the US and Latam. They use the latest cutting-edge technologies in cloud computing to create applications that are scalable and resilient. We aim to provide diverse product solutions for different industries, planning to build a large number of startups in the upcoming years. At RYZ, you will find yourself working with autonomy and efficiency, owning every step of your development. We provide an environment of opportunities, learning, growth, expansion, and challenging projects. You will deepen your experience while sharing and learning from a team of great professionals and specialists. Our values and what to expect:- Customer First Mentality - every decision we make should be made through the lens of the customer.- Bias for Action - urgency is critical, expect that the timeline to get something done is accelerated.- Ownership -  step up if you see an opportunity to help, even if not your core responsibility. - Humility and Respect - be willing to learn, be vulnerable, and treat everyone who interacts with RYZ with respect.- Frugality - being frugal and cost-conscious helps us do more with less- Deliver Impact - get things done in the most efficient way. - Raise our Standards - always be looking to improve our processes, our team, and our expectations. The status quo is not good enough and never should be.

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We are seeking a Physics Specialist - AI Trainer. You will play a vital role in advancing AI by reviewing expert-annotated physics data using proprietary software. Your in-depth understanding of physics will be key in enhancing AI model accuracy, ensuring precise and reliable content. This role demands analytical thinking, adaptability, and a passion for blending physics expertise with AI technology. Responsibilities:- Utilize proprietary software to evaluate AI-generated physics content and offer expert feedback.- Ensure high-quality physics data curation to enhance AI model training.- Collaborate with technical teams to refine annotation tools and methodologies for physics-related tasks.- Assess AI-generated and human responses in various physics domains, from classical mechanics to quantum theory.- Interpret, analyze, and review physics tasks based on evolving guidelines. Qualifications:- PhD in Physics or a closely related field (either in progress or completed within the last 10 years).- Strong research and analytical skills, with expertise in fundamental and applied physics.- Proficiency in both informal and professional scientific writing.Excellent communication and organizational abilities.- Ability to independently evaluate data and make informed decisions.- Passion for AI, innovation, and technology. Nice to have:- Research experience with published work in a reputable physics journal.- Experience in AI-assisted education or tutoring.- Teaching experience as a professor, lecturer, or tutor in physics.- Experience in technical writing, science communication, or professional scientific writing. About RYZ Labs:RYZ Labs is a startup studio built in 2021 by two lifelong entrepreneurs. The founders of RYZ have worked at some of the world's largest tech companies and some of the most iconic consumer brands. They have lived and worked in Argentina for many years and have decades of experience in Latam. What brought them together is the passion for the early phases of company creation and the idea of attracting the brightest talents in order to build industry-defining companies in a post-pandemic world. Our teams are remote and distributed throughout the US and Latam. They use the latest cutting-edge technologies in cloud computing to create applications that are scalable and resilient. We aim to provide diverse product solutions for different industries, planning to build a large number of startups in the upcoming years. At RYZ, you will find yourself working with autonomy and efficiency, owning every step of your development. We provide an environment of opportunities, learning, growth, expansion, and challenging projects. You will deepen your experience while sharing and learning from a team of great professionals and specialists. Our values and what to expect:- Customer First Mentality - every decision we make should be made through the lens of the customer.- Bias for Action - urgency is critical, expect that the timeline to get something done is accelerated.- Ownership -  step up if you see an opportunity to help, even if not your core responsibility. - Humility and Respect - be willing to learn, be vulnerable, and treat everyone who interacts with RYZ with respect.- Frugality - being frugal and cost-conscious helps us do more with less- Deliver Impact - get things done in the most efficient way. - Raise our Standards - always be looking to improve our processes, our team, and our expectations. The status quo is not good enough and never should be.

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Think Different. Build the Future. 🚀Our MissionBuild everyday AGI—trustworthy, consumer-grade agents that redefine human–AI collaboration for millions. Software shouldn’t wait for commands; it should partner with you, amplifying what you can do every single day.Why AGI, Inc.We’re a stealth team of elite ex-founders, Stanford and Berkeley researchers, and DeepMind alumni. With years of agent research, our platform already runs live agent workflows with 99.9% reliability. Our investors funded the first wave of AI giants; now they’re backing us to deliver the next—everyday AGI.If you see possibility where others see limits, read on. About the RoleYou’ll be one of the first engineers defining the mobile experience for our future‑shaping AI agents. As a Full Stack Mobile Engineer, you’ll design, build, and scale cross‑platform apps—delivering responsive, intuitive interfaces deeply integrated with our AGI backend. Your work will directly shape how millions interact with their AI companion, ensuring smooth user journeys from UI components through API layers and real-time data flows.Key ResponsibilitiesArchitect and implement cross‑platform mobile apps (iOS/Android) using React Native or Flutter, delivering polished, native‑feel experiences. Integrate intelligent agent features—like contextual summarization, proactive suggestions, and natural language interactions—into the mobile UI via real‑time APIs. Build secure, scalable backend endpoints (Node.js/Python) to support mobile data sync, offline-first behavior, and real-time updates. Optimize performance by diagnosing and removing bottlenecks—from render cycles to data throughput. Harness "vibe coding" tools and AI‑augmented workflows to accelerate development velocity and maintain coding quality businessinsider.com. Collaborate closely with designers, AI researchers, and backend engineers through agile processes, including code reviews, pair programming, and sprint planning. Deploy, maintain, and monitor mobile apps in App Store and Play Store, ensuring CI/CD, testing, crash reporting, and analytics are in place. You BringExperience: 3+ years in full‑stack mobile development, with strong expertise in React Native or Flutter. Technical Skills: Proficiency in JavaScript/TypeScript (or Dart), mobile UI frameworks, REST/gRPC APIs, and backend services (Node.js, Python). System Design: Experience building offline-capable mobile apps, managing data sync, authentication, and real-time updates. Performance Mindset: Proven ability to diagnose and resolve UI and data-layer bottlenecks; familiarity with profiling tools. AI Familiarity: Comfort integrating AI modules or agent-powered features on mobile; ability to consume LLM-based APIs seamlessly. Collaboration: A proactive teammate and excellent communicator, comfortable navigating a fast-paced startup environment. Vibe Coding Savvy: Experience using AI-powered developer tools (e.g., Cursor, Bolt, GPT-based coding assistants) to augment your workflowOur Culture🏢 All in, in person. Sparks fly faster face-to-face. 🚀 Ship by default. Novel and polished can coexist—speed is the feature. 🤝 One band, one sound. Radical candor, zero politics, help each other win.Our perks🍽 Snacks at the office.🏥 Fully covered medical, dental, and vision insurance for employees.✈️ Relocation and immigration support.

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We are seeking a Statistics Specialist - AI Trainer. You'll play a pivotal role in shaping the future of AI models by reviewing and enhancing outputs generated by cutting-edge large language models (LLMs). Your expertise in statistics, data analysis, and quantitative reasoning will be crucial in ensuring that model outputs are accurate, insightful, and aligned with rigorous academic and applied standards. This position combines technical expertise with high-precision annotation, offering you the opportunity to influence how AI understands and communicates statistical concepts. Responsibilities: - Use internal tools to evaluate AI-generated responses, particularly in statistical, mathematical, and scientific domains.- Analyze and improve AI outputs with a focus on statistical correctness, clarity, and pedagogical relevance.- Curate, annotate, and refine datasets used in training and fine-tuning LLMs with statistical content.- Identify edge cases, model limitations, and annotation inconsistencies related to statistical reasoning.- Collaborate with AI researchers and engineers to iterate on feedback loops and model alignment strategies. Qualifications: - MS or PhD in Statistics, Biostatistics, Applied Mathematics, or a related quantitative field.- Alternatively, 3+ years of experience as a Statistician, Quantitative Analyst, or Data Scientist in research or applied settings.- Strong command of inferential statistics, probability theory, statistical modeling, and hypothesis testing.- Experience reviewing or writing statistical content, especially in educational or technical settings.- Excellent written communication skills, both for technical exposition and explanatory writing.- Ability to independently assess AI responses for statistical rigor and relevance.- Comfortable navigating ambiguity and exercising sound judgment in annotation decisio About RYZ Labs:RYZ Labs is a startup studio built in 2021 by two lifelong entrepreneurs. The founders of RYZ have worked at some of the world's largest tech companies and some of the most iconic consumer brands. They have lived and worked in Argentina for many years and have decades of experience in Latam. What brought them together is the passion for the early phases of company creation and the idea of attracting the brightest talents in order to build industry-defining companies in a post-pandemic world. Our teams are remote and distributed throughout the US and Latam. They use the latest cutting-edge technologies in cloud computing to create applications that are scalable and resilient. We aim to provide diverse product solutions for different industries, planning to build a large number of startups in the upcoming years. At RYZ, you will find yourself working with autonomy and efficiency, owning every step of your development. We provide an environment of opportunities, learning, growth, expansion, and challenging projects. You will deepen your experience while sharing and learning from a team of great professionals and specialists. Our values and what to expect:- Customer First Mentality - every decision we make should be made through the lens of the customer.- Bias for Action - urgency is critical, expect that the timeline to get something done is accelerated.- Ownership -  step up if you see an opportunity to help, even if not your core responsibility. - Humility and Respect - be willing to learn, be vulnerable, and treat everyone who interacts with RYZ with respect.- Frugality - being frugal and cost-conscious helps us do more with less- Deliver Impact - get things done in the most efficient way. - Raise our Standards - always be looking to improve our processes, our team, and our expectations. The status quo is not good enough and never should be.

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We are seeking an Education Specialist - AI Trainer, you'll play a pivotal role in training and evaluating advanced AI systems in tasks related to educational content, pedagogy, curriculum design, and learning assessment. Your expertise in instructional theory, cognitive science, and classroom practice will guide the development of high-quality and pedagogically sound outputs across various student-facing use cases. This role offers an exciting opportunity to apply your educational expertise in a cutting-edge, interdisciplinary environment. Responsibilities: - Evaluate AI-generated educational content and provide expert feedback on pedagogy, structure, and clarity.- Score and critique model outputs related to tutoring, instructional design, and assessment across K–12, higher education, and lifelong learning domains.- Collaborate with cross-functional teams to develop annotation standards and quality criteria for educational data.- Help identify areas for improvement in AI behavior, such as cognitive scaffolding, differentiation, or culturally responsive pedagogy.- Support the design and curation of realistic prompts, instructional materials, and assessments for training and fine-tuning purposes.- Adapt to new task definitions and evolving rubrics as our product and models grow. Qualifications:- PhD in Education, Learning Sciences, Instructional Design, Curriculum & Instruction, Educational Psychology, or a related field.- Deep understanding of pedagogical theory and learning design—especially with constructivist, inquiry-based, or evidence-based frameworks.- Experience teaching or designing curriculum at the K–12, undergraduate, or graduate levels.- Strong analytical, evaluative, and writing skills—able to assess content quality from both technical and instructional perspectives.- Comfort working with digital tools and structured educational tasks (e.g., scoring rubrics, taxonomy frameworks, educational standards).- Interest in the application of AI in education, with an open but critical perspective on its role in teaching and learning. About RYZ Labs:RYZ Labs is a startup studio built in 2021 by two lifelong entrepreneurs. The founders of RYZ have worked at some of the world's largest tech companies and some of the most iconic consumer brands. They have lived and worked in Argentina for many years and have decades of experience in Latam. What brought them together is the passion for the early phases of company creation and the idea of attracting the brightest talents in order to build industry-defining companies in a post-pandemic world. Our teams are remote and distributed throughout the US and Latam. They use the latest cutting-edge technologies in cloud computing to create applications that are scalable and resilient. We aim to provide diverse product solutions for different industries, planning to build a large number of startups in the upcoming years. At RYZ, you will find yourself working with autonomy and efficiency, owning every step of your development. We provide an environment of opportunities, learning, growth, expansion, and challenging projects. You will deepen your experience while sharing and learning from a team of great professionals and specialists. Our values and what to expect:- Customer First Mentality - every decision we make should be made through the lens of the customer.- Bias for Action - urgency is critical, expect that the timeline to get something done is accelerated.- Ownership -  step up if you see an opportunity to help, even if not your core responsibility. - Humility and Respect - be willing to learn, be vulnerable, and treat everyone who interacts with RYZ with respect.- Frugality - being frugal and cost-conscious helps us do more with less- Deliver Impact - get things done in the most efficient way. - Raise our Standards - always be looking to improve our processes, our team, and our expectations. The status quo is not good enough and never should be.

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We are seeking for an Electrical Engineering Specialist - AI Trainer, you will play a crucial role in refining AI models by reviewing and correcting outputs on topics such as electrical circuits, signal processing, embedded systems, power systems, and electromagnetics. Your expertise will enable AI systems to interpret and respond to complex engineering queries with technical precision. Responsibilities:- Analyze and improve AI-generated content in electrical and electronic engineering domains.- Evaluate model responses for accuracy in areas such as analog/digital circuits, control systems, communications, and microelectronics.- Annotate and curate training data for electrical engineering-related LLM outputs.- Collaborate with technical teams to identify gaps, inaccuracies, or misleading content.- Apply engineering judgment to ensure high-quality, consistent model outputs. Qualifications:- PhD or MS in Electrical Engineering or a related field, or 3+ years of professional experience as an Electrical Engineer, Embedded Systems Engineer, or similar.- Deep understanding of core electrical engineering principles, system design, and signal analysis.- Ability to assess complex technical material and provide constructive feedback.- Strong written communication skills, especially in explaining technical concepts clearly.- Independent and detail-oriented, with strong decision-making skills. Bonus Experience:- Experience with simulation tools (e.g., SPICE), PCB design, or FPGA programming.- Familiarity with control theory, power electronics, or IoT systems.- Prior teaching, tutoring, or curriculum development in electrical engineering.- Exposure to LLMs or AI-based educational tools.- Participation in model evaluation or annotation workflows. About RYZ Labs:RYZ Labs is a startup studio built in 2021 by two lifelong entrepreneurs. The founders of RYZ have worked at some of the world's largest tech companies and some of the most iconic consumer brands. They have lived and worked in Argentina for many years and have decades of experience in Latam. What brought them together is the passion for the early phases of company creation and the idea of attracting the brightest talents in order to build industry-defining companies in a post-pandemic world. Our teams are remote and distributed throughout the US and Latam. They use the latest cutting-edge technologies in cloud computing to create applications that are scalable and resilient. We aim to provide diverse product solutions for different industries, planning to build a large number of startups in the upcoming years. At RYZ, you will find yourself working with autonomy and efficiency, owning every step of your development. We provide an environment of opportunities, learning, growth, expansion, and challenging projects. You will deepen your experience while sharing and learning from a team of great professionals and specialists. Our values and what to expect:- Customer First Mentality - every decision we make should be made through the lens of the customer.- Bias for Action - urgency is critical, expect that the timeline to get something done is accelerated.- Ownership -  step up if you see an opportunity to help, even if not your core responsibility. - Humility and Respect - be willing to learn, be vulnerable, and treat everyone who interacts with RYZ with respect.- Frugality - being frugal and cost-conscious helps us do more with less- Deliver Impact - get things done in the most efficient way. - Raise our Standards - always be looking to improve our processes, our team, and our expectations. The status quo is not good enough and never should be.