AI Software Engineer Jobs

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About LMArenaLMArena is the open platform for evaluating how AI models perform in the real world. Created by researchers from UC Berkeley’s SkyLab, our mission is to measure and advance the frontier of AI for real-world use. Millions of people use LMArena each month to explore how frontier systems perform — and we use our community’s feedback to build transparent, rigorous, and human-centered model evaluations. Leading enterprises and AI labs rely on our evaluations to understand real-world reliability, alignment, and impact. Our leaderboards are the gold standard for AI performance — trusted by leaders across the AI community and shaping the global conversation on model reliability and progress. We’re a team of researchers, engineers, academics, and builders from places like UC Berkeley, Google, Stanford, DeepMind, and Discord. We seek truth, move fast, and value craftsmanship, curiosity, and impact over hierarchy. We’re building a company where thoughtful, curious people from all backgrounds can do their best work. Everyone on our team is a deep expert in their field — our office radiates excellence, energy, and focus.About the RoleLMArena is looking for a Machine Learning Scientist to lead our open-source research, including open data set and code releases, advancing how the world evaluates and understands AI models in the open. You’ll design, run, and share new methods and experiments that reveal what makes models useful, trustworthy, and capable, grounded in human preference signals and released openly for the full ecosystem and research community to build upon.In this role, you’ll be responsible for taking our commitment to openness from principle to practice, curating high-impact datasets, developing new methodology and reproducible benchmarks, and releasing code that enables the research ecosystem to push AI evaluations forward. Your work will shape the public leaderboard, power community tools, and strengthen transparency in AI evaluation worldwide.This role is deeply interdisciplinary, working with engineers, product teams, marketing, and the broader research community to advance how we compare models, analyze preference data, and understand factors like style, reasoning, and robustness. You’ll work closely with GTM teams as our spokesperson when it comes to outreach for our open research efforts: strengthening research partnerships, expanding research community participation, and championing programs that grow and support our research network.If you’re excited by open-ended questions, rigorous evaluation, and scientific communication and outreach, you’ll find a meaningful home here. We’re looking for:Hands-on experience training large-scale models, including reward models, preference models, and fine-tuning LLMs with methods like RLHF, DPO, and contrastive learning.Strong foundation in ML and statistics, with a track record of designing novel training objectives, evaluation schemes, or statistical frameworks to improve model reliability and alignment.Fluent in the full experimental stack, from dataset design and large-batch training to rigorous evaluation and ablation, with an eye for what scales to production.Deeply collaborative mindset, working closely with engineers to productionize research insights and iterating with product teams to align research with user needs.Comfortable being a visible representative of LMArena, engaging openly with the research community, and building a strong personal brand to help shape AI research culture.You’llDesign and conduct experiments to evaluate AI model behavior across reasoning, style, robustness, and user preference dimensionsDevelop new metrics, methodologies, and evaluation protocols that go beyond traditional benchmarksAnalyze large-scale human voting and interaction data to uncover insights into model performance and user preferencesCommunicate results with the broader research community via academic papers, educational content, conference talksCollaborate with engineers to implement and scale research findings into production systemsPrototype and test research ideas rapidly, balancing rigor with iteration speedPartner with model providers to shape evaluation questions and support responsible model testingContribute to the scientific integrity and transparency of the LMArena leaderboard and toolsYou’ll havePhD or equivalent research experience in Machine Learning, Natural Language Processing, Statistics, or a related fieldUses personal and professional platforms to amplify open research initiatives and invite collaboration.Strong understanding of LLMs and modern deep learning architectures (e.g., Transformers, diffusion models, reinforcement learning with human feedback) Proficiency in Python and ML research libraries such as PyTorch, JAX, or TensorFlowDemonstrated ability to design and analyze experiments with statistical rigorExperience publishing research or working on open-source projects in ML, NLP, or AI evaluationComfortable working with real-world usage data and designing metrics beyond standard benchmarksAbility to translate research questions into practical systems and collaborate across engineering and product teamsPassion for open science, reproducibility, and community-driven researchBonus skills for this role:Skilled at public speaking, writing, and presenting research work to diverse audiences.Actively participates in conferences, panels, and online forums to foster relationships and thought leadership.Builds trust through transparent communication and consistent community engagement.Serves as a go-to contact for external researchers, journalists, and partners.What we offerWe offer competitive compensation and equity aligned to the markets where our team members are based. The base salary range will depend on the candidate’s permanent work location.Comprehensive health and wellness benefits, including medical, dental, vision, and additional support programs.The opportunity to work on cutting-edge AI with a small, mission-driven teamA culture that values transparency, trust, and community impactCome help build the space where anyone can explore and help shape the future of AI.LMArena provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities.

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About LMArenaLMArena is the open platform for evaluating how AI models perform in the real world. Created by researchers from UC Berkeley’s SkyLab, our mission is to measure and advance the frontier of AI for real-world use. Millions of people use LMArena each month to explore how frontier systems perform — and we use our community’s feedback to build transparent, rigorous, and human-centered model evaluations. Leading enterprises and AI labs rely on our evaluations to understand real-world reliability, alignment, and impact. Our leaderboards are the gold standard for AI performance — trusted by leaders across the AI community and shaping the global conversation on model reliability and progress. We’re a team of researchers, engineers, academics, and builders from places like UC Berkeley, Google, Stanford, DeepMind, and Discord. We seek truth, move fast, and value craftsmanship, curiosity, and impact over hierarchy. We’re building a company where thoughtful, curious people from all backgrounds can do their best work. Everyone on our team is a deep expert in their field — our office radiates excellence, energy, and focus.About the RoleLMArena is seeking a variety of Machine Learning Scientist to help advance how we evaluate and understand AI models. You’ll help design and analyse experiments that uncover what makes models useful, trustworthy and capable through human preference signals. Your work will contribute to the scientific foundations of understanding AI at scale. This role is deeply interdisciplinary. You’ll work closely with engineers, product teams, marketing and the broader research community to develop new methods for comparing models, analyzing preference data, and disentangling performance factors like style, reasoning, and robustness. Your work will inform both the public leaderboard and the tools we provide to model developers.If you’re excited by open-ended questions, rigorous evaluation, and research that’s grounded in real-world impact, you’ll find a meaningful home here. We’re looking for:Hands-on experience training large-scale models, including reward models, preference models, and fine-tuning LLMs with methods like RLHF, DPO, and contrastive learning.Strong foundation in ML and statistics, with a track record of designing novel training objectives, evaluation schemes, or statistical frameworks to improve model reliability and alignment.Fluent in the full experimental stack, from dataset design and large-batch training to rigorous evaluation and ablation, with an eye for what scales to production.Deeply collaborative mindset, working closely with engineers to productionize research insights and iterating with product teams to align modeling goals with user needs.You’llDesign and conduct experiments to evaluate AI model behavior across reasoning, style, robustness, and user preference dimensionsDevelop new metrics, methodologies, and evaluation protocols that go beyond traditional benchmarksAnalyze large-scale human voting and interaction data to uncover insights into model performance and user preferencesCollaborate with engineers to implement and scale research findings into production systemsPrototype and test research ideas rapidly, balancing rigor with iteration speedAuthor internal reports and external publications that contribute to the broader ML research communityPartner with model providers to shape evaluation questions and support responsible model testingContribute to the scientific integrity and transparency of the LMArena leaderboard and toolsYou’ll havePhD or equivalent research experience in Machine Learning, Natural Language Processing, Statistics, or a related fieldStrong understanding of LLMs and modern deep learning architectures (e.g., Transformers, diffusion models, reinforcement learning with human feedback) Proficiency in Python and ML research libraries such as PyTorch, JAX, or TensorFlowDemonstrated ability to design and analyze experiments with statistical rigorExperience publishing research or working on open-source projects in ML, NLP, or AI evaluationComfortable working with real-world usage data and designing metrics beyond standard benchmarksAbility to translate research questions into practical systems and collaborate across engineering and product teamsPassion for open science, reproducibility, and community-driven research.What we offerWe offer competitive compensation and equity aligned to the markets where our team members are based. The base salary range will depend on the candidate’s permanent work location.Comprehensive health and wellness benefits, including medical, dental, vision, and additional support programs.The opportunity to work on cutting-edge AI with a small, mission-driven teamA culture that values transparency, trust, and community impactCome help build the space where anyone can explore and help shape the future of AI.LMArena provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities.

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About LMArenaLMArena is the open platform for evaluating how AI models perform in the real world. Created by researchers from UC Berkeley’s SkyLab, our mission is to measure and advance the frontier of AI for real-world use. Millions of people use LMArena each month to explore how frontier systems perform — and we use our community’s feedback to build transparent, rigorous, and human-centered model evaluations. Leading enterprises and AI labs rely on our evaluations to understand real-world reliability, alignment, and impact. Our leaderboards are the gold standard for AI performance — trusted by leaders across the AI community and shaping the global conversation on model reliability and progress. We’re a team of researchers, engineers, academics, and builders from places like UC Berkeley, Google, Stanford, DeepMind, and Discord. We seek truth, move fast, and value craftsmanship, curiosity, and impact over hierarchy. We’re building a company where thoughtful, curious people from all backgrounds can do their best work. Everyone on our team is a deep expert in their field — our office radiates excellence, energy, and focus.About the RoleLMArena is seeking a Senior Machine Learning Engineer to help scale and strengthen the core infrastructure that powers real-world AI evaluation. You’ll play a foundational role in shaping how we build, deploy, and improve our model benchmarking systems, working across data pipelines, inference APIs, and new evaluation methodologies. This is an opportunity to apply your technical expertise to a platform trusted by millions, and to help define how cutting-edge AI is assessed in the wild.As one of the first ML engineers on the team, you’ll partner closely with researchers, engineers, and product leadership to turn new ideas into reliable systems. You’ll help us move fast while staying rigorous, improving reproducibility, scaling up to new modalities, and deepening our ability to understand and compare frontier models.You’llArchitect and build what will become our core modeling for data and evaluation productsOwn the full stack data, model training, and eval pipelinesHelp grow a culture of feedback and rapid product iteration as we build new features as a tight-nit teamConduct research into state-of-the-art evaluation methods and contribute to the long-term vision for a centralized, scalable evaluation platform.You’ll haveStrong programming skills with the ability to work across the stack in a typical recommendation system or LLM stackExperience in deep learning, language models or reward model trainingExperience in working with LLM for fine tuning, prompt engineering, function calling etcSelf-motivated with a willingness to take ownership of tasksA passion for shipping quality products4+ years of industry experience or relevant projectsSolid understanding of statistics, and various tools and methodologies for evaluating uncertainty in a way that is specific to the given product being shippedWhat we offerWe offer competitive compensation and equity aligned to the markets where our team members are based. The base salary range will depend on the candidate’s permanent work location.Comprehensive health and wellness benefits, including medical, dental, vision, and additional support programs.The opportunity to work on cutting-edge AI with a small, mission-driven teamA culture that values transparency, trust, and community impactCome help build the space where anyone can explore and help shape the future of AI.LMArena provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities.

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About LMArenaLMArena is the open platform for evaluating how AI models perform in the real world. Created by researchers from UC Berkeley’s SkyLab, our mission is to measure and advance the frontier of AI for real-world use. Millions of people use LMArena each month to explore how frontier systems perform — and we use our community’s feedback to build transparent, rigorous, and human-centered model evaluations. Leading enterprises and AI labs rely on our evaluations to understand real-world reliability, alignment, and impact. Our leaderboards are the gold standard for AI performance — trusted by leaders across the AI community and shaping the global conversation on model reliability and progress. We’re a team of researchers, engineers, academics, and builders from places like UC Berkeley, Google, Stanford, DeepMind, and Discord. We seek truth, move fast, and value craftsmanship, curiosity, and impact over hierarchy. We’re building a company where thoughtful, curious people from all backgrounds can do their best work. Everyone on our team is a deep expert in their field — our office radiates excellence, energy, and focus.At LMArena, we’re always on the lookout for exceptional people - even if there’s no open role that’s a perfect fit right now.If you believe your skills and experience align with our mission and you're excited about what we're building, we’d love to hear from you.Here are some of the roles we’re actively exploring - or perhaps you’re something entirely unique we didn’t know we needed yet:Engineering ManagerSoftware Engineer (API Product / Product Platform)Software Engineer (Data Infrastructure)Data Scientist / Research Engineer (Human Data & Evaluation)Design EngineerGTM EngineerBackend AI EngineerOr maybe you're a passionate contributor eager to join a fast-growing team solving meaningful problems.Either way - don’t hesitate to introduce yourself.Who is LMArena? Created by researchers from UC Berkeley’s SkyLab, LMArena is an open platform where everyone can easily access, explore and interact with the world’s leading AI models. By comparing them side by side and casting votes for the better response, the community helps shape a public leaderboard, making AI progress more transparent, and grounded in real-world usage.Why Join Us? Trusted by organizations like Google, OpenAI, Meta, xAI, and more, LMArena is rapidly becoming essential infrastructure for transparent, human-centered AI evaluation at scale. With over one million monthly users and growing developer adoption, our impact is helping guide the next generation of safe, aligned AI systems—grounded in open access and collective feedback.Our work is regularly referenced by industry leaders pushing the frontier of safe and reliable AI. Sundar Pichai, Jeff Dean, Elon Musk, and Sam Altman.High Impact: Your work will be used daily by the world’s most advanced AI labs.Global Reach: Develop data infrastructure powering millions of real-world evaluations, influencing AI reliability across industries at the top-tierExceptional Team: We are a small team of top talent from Google, DeepMind, Discord, Vercel, UC Berkeley, and Stanford.What we offer:Competitive salary and meaningful equityComprehensive healthcare coverage (medical, dental, vision)The opportunity to work on cutting-edge AI with a small, mission-driven teamA culture that values transparency, trust, and community impact Come help design the space where anyone can explore and help shape the future of AI!What we offerWe offer competitive compensation and equity aligned to the markets where our team members are based. The base salary range will depend on the candidate’s permanent work location.Comprehensive health and wellness benefits, including medical, dental, vision, and additional support programs.The opportunity to work on cutting-edge AI with a small, mission-driven teamA culture that values transparency, trust, and community impactCome help build the space where anyone can explore and help shape the future of AI.LMArena provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. We are committed to a diverse and inclusive workforce and welcome people from all backgrounds, experiences, perspectives, and abilities.

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About the team​​The Safety Systems team ensures that OpenAI’s most capable models can be responsibly developed and deployed. We build evaluations, safeguards, and safety frameworks that help our models behave as intended in real-world settings.OpenAI has invested deeply in Preparedness across multiple generations of frontier models, building core capability evaluations, threat models, and cross-functional mitigations. As we expect model capabilities to continue to increase and we continue implementing increasingly complex safeguards, this work remains a major priority. The Head of Preparedness will expand, strengthen, and guide this program so our safety standards scale with the capabilities of the systems we develop.About the roleAs the Head of Preparedness, you will lead the technical strategy and execution of OpenAI’s Preparedness framework, our framework explaining OpenAI’s approach to tracking and preparing for frontier capabilities that create new risks of severe harm. You will be the directly responsible leader for building and coordinating capability evaluations, threat models, and mitigations that form a coherent, rigorous, and operationally scalable safety pipeline.This role requires deep technical judgment, clear communication, and the ability to guide complex work across multiple risk domains. You will lead a small, high-impact team to drive core Preparedness research, while partnering broadly across Safety Systems and OpenAI for end-to-end adoption and execution of the framework.In this role, you will:Own OpenAI’s preparedness strategy end-to-end by building capability evaluations, establishing threat models, and building and coordinating mitigations.Lead the development of frontier capability evaluations, ensuring they are precise, robust, and scalable across rapid product cycles.Oversee mitigation design across major risk areas (e.g., cyber, bio), ensuring safeguards are technically sound, effective, and aligned with underlying threat models.Guide interpretation of evaluation results and ensure they directly inform launch decisions, policy choices, and safety cases.Refine and evolve the preparedness framework as new risks, capabilities, or external expectations emerge.Collaborate cross-functionally with research, engineering, product teams, policy monitoring and enforcement teams, governance, and external partners to integrate preparedness into real-world deployment.You might thrive in this role if you:Are motivated by ensuring frontier AI systems are safe, reliable, and responsibly deployed.Bring deep technical expertise in machine learning, AI safety, evaluations, security, or adjacent risk domains.Have experience designing or executing high-rigor evaluations for complex technical systems.Are comfortable making clear, high-stakes technical judgments under uncertainty.Communicate crisply and can align diverse stakeholders around safety decisions.Have managed or led technical teams, or driven cross-functional initiatives in research-intensive environments.Excel at balancing scientific depth with operational realities—shipping high-quality work on tight timelines in fast-moving contexts.(Nice to have) Bring experience in areas such as threat modeling, cybersecurity, biosecurity, misalignment/deception, or other frontier-risk domains.About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. 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.

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About the RoleAs a Software / ML Engineer you will work cross functionally with product, data science and data platform to identify, design and implement the applied ML models and infra, ranging from the model optimization, data pipeline to model training and serving infrastructure, on one of the fastest growing native AI consumer applications on the market today. You will work on implementation of our ML backend systems to power the discovery surfaces including recommendation, ranking and search, supporting new AI generated content formats on our product while working with the team to support optimizing our existing systems.Requirements:B.A.S. in Computer Science or equivalent experience.5+ years of industry experienceExperience building/consuming RESTful and gRPC based web-servicesExperience building and managing infrastructure in a cloud environment (GCP, AWS or Azure)Familiar with one of the popular ML Frameworks like Pytorch, TensorflowExperience writing highly performant service in a modern typed languageExperience configuring and maintaining CI/CD pipelines and automated testingDesired Experience:Experience with shipping intelligent features, end-to-end, and from idea to productionExperience with understanding, designing or implementing a full pipeline from data ingestion to model training.Experience with production AI/ML systems and services including optimizing GPU/TPU deploymentsExperience working with vector databases or other feature storageYou will be a good fit if you are proactive and have a “get things done” mindset. Given our current pace of growth and load on our systems, most people have had a significant impact during their first week at the company.About Character.AICharacter.AI empowers people to connect, learn and tell stories through interactive entertainment. Over 20 million people visit Character.AI every month, using our technology to supercharge their creativity and imagination. Our platform lets users engage with tens of millions of characters, enjoy unlimited conversations, and embark on infinite adventures. In just two years, we achieved unicorn status and were honored as Google Play's AI App of the Year—a testament to our innovative technology and visionary approach. Join us and be a part of establishing this new entertainment paradigm while shaping the future of Consumer AI! At Character, we value diversity and welcome applicants from all backgrounds. As an equal opportunity employer, we firmly uphold a non-discrimination policy based on race, religion, national origin, gender, sexual orientation, age, veteran status, or disability. Your unique perspectives are vital to our success.

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Cresta is on a mission to turn every customer conversation into a competitive advantage by unlocking the true potential of the contact center. Our platform combines the best of AI and human intelligence to help contact centers discover customer insights and behavioral best practices, automate conversations and inefficient processes, and empower every team member to work smarter and faster. Born from the prestigious Stanford AI lab, Cresta's co-founder and chairman is Sebastian Thrun, the genius behind Google X, Waymo, Udacity, and more. Our leadership also includes CEO, Ping Wu, the co-founder of Google Contact Center AI and Vertex AI platform, and CTO & co-founder, Tim Shi, an early member of Open AI.   We’ve assembled a world-class team of AI and ML experts, go-to-market leaders, and top-tier investors including Andreessen Horowitz, Greylock Partners, Sequoia, and former AT&T CEO John Donovan. Our valued customers include brands like Intuit, Cox Communications, Hilton, and Carmax and we’ve been recognized by Forbes and Bain Consulting as one of the top private AI companies in the world. About the role: As part of Cresta's Conversation Design team, you will assist in designing high quality AI conversation models that offer real-time coaching and assistance for our customers' contact center agents, and designing conversational experiences for virtual agents for both voice and chat. The role is highly collaborative and will require that you work closely with cross-functional team members from Machine Learning, Data Science, Program Management, Customer Success, Product Leadership, and Engineering. You may also work directly with customers to get alignment on our overall solution design and to enable customers to build their own models using Cresta Opera, our proprietary self-service tool. Responsibilities: Assist with all stages of our AI Delivery projects - designing, building, deploying, and tuning AI solutions for multiple customers. Collaborate with internal and external stakeholders to design and build solutions that help customers achieve their business objectives using Cresta's AI product suite. Assist in designing solutions for contact centers in sales, retention, collections, and customer service across a range of verticals, from financial services to telecommunications and everything in between. Define labeling guidelines to be used to train conversational AI models, and assist with labeling as needed. Lead model maintenance efforts to ensure that Cresta's AI models continue to meet our quality standards. Design and develop virtual agent solutions using Google's Dialogflow CX. Qualifications We Value: Strong communication skills (verbal and written). Desire to work in a fast-paced environment with the opportunity to learn and develop a wide range of skills. General knowledge of Conversational AI and natural language processing models. Background in Linguistics preferred. Experience working with Python is a plus. Experience working with Dialogflow CX or another bot design platform is a plus Perks & Benefits:  We offer Cresta employees a variety of medical, dental, and vision plans, designed to fit you and your family’s needs Paid parental leave to support you and your family Monthly Health & Wellness allowance Work from home office stipend to help you succeed in a remote environment Lunch reimbursement for in-office employees  PTO: Flexible  Compensation at Cresta  Cresta’s approach to compensation is simple: recognize impact, reward excellence, and invest in our people. We offer competitive, location-based pay that reflects the market and what each individual brings to the table. The posted base salary range represents what we expect to pay for this role in a given location. Final offers are shaped by factors like experience, skills, education, and geography. In addition to base pay, total compensation includes equity and a comprehensive benefits package for you and your family. Salary Range: $60,000–$95,000 + Offers Equity We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Cresta recruiting email communications will always come from the @cresta.ai domain. Any outreach claiming to be from Cresta via other sources should be ignored.  If you are uncertain whether you have been contacted by an official Cresta employee, reach out to recruiting@cresta.ai 

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Cresta is on a mission to turn every customer conversation into a competitive advantage by unlocking the true potential of the contact center. Our platform combines the best of AI and human intelligence to help contact centers discover customer insights and behavioral best practices, automate conversations and inefficient processes, and empower every team member to work smarter and faster. Born from the prestigious Stanford AI lab, Cresta's co-founder and chairman is Sebastian Thrun, the genius behind Google X, Waymo, Udacity, and more. Our leadership also includes CEO, Ping Wu, the co-founder of Google Contact Center AI and Vertex AI platform, and CTO & co-founder, Tim Shi, an early member of Open AI.   We’ve assembled a world-class team of AI and ML experts, go-to-market leaders, and top-tier investors including Andreessen Horowitz, Greylock Partners, Sequoia, and former AT&T CEO John Donovan. Our valued customers include brands like Intuit, Cox Communications, Hilton, and Carmax and we’ve been recognized by Forbes and Bain Consulting as one of the top private AI companies in the world. About the role: As part of Cresta's Conversation Design team, you will assist in designing high quality AI conversation models that offer real-time coaching and assistance for our customers' contact center agents, and designing conversational experiences for virtual agents for both voice and chat. The role is highly collaborative and will require that you work closely with cross-functional team members from Machine Learning, Data Science, Program Management, Customer Success, Product Leadership, and Engineering. You may also work directly with customers to get alignment on our overall solution design and to enable customers to build their own models using Cresta Opera, our proprietary self-service tool. Responsibilities: Assist with all stages of our AI Delivery projects - designing, building, deploying, and tuning AI solutions for multiple customers. Collaborate with internal and external stakeholders to design and build solutions that help customers achieve their business objectives using Cresta's AI product suite. Assist in designing solutions for contact centers in sales, retention, collections, and customer service across a range of verticals, from financial services to telecommunications and everything in between. Define labeling guidelines to be used to train conversational AI models, and assist with labeling as needed. Lead model maintenance efforts to ensure that Cresta's AI models continue to meet our quality standards. Design and develop virtual agent solutions using Google's Dialogflow CX. Qualifications We Value: Strong communication skills (verbal and written). Desire to work in a fast-paced environment with the opportunity to learn and develop a wide range of skills. General knowledge of Conversational AI and natural language processing models. Background in Linguistics preferred. Experience working with Python is a plus. Experience working with Dialogflow CX or another bot design platform is a plus Perks & Benefits:  We offer Cresta employees a variety of medical, dental, and vision plans, designed to fit you and your family’s needs Paid parental leave to support you and your family Monthly Health & Wellness allowance Work from home office stipend to help you succeed in a remote environment Lunch reimbursement for in-office employees  PTO: Flexible  Compensation at Cresta  Cresta’s approach to compensation is simple: recognize impact, reward excellence, and invest in our people. We offer competitive, location-based pay that reflects the market and what each individual brings to the table. The posted base salary range represents what we expect to pay for this role in a given location. Final offers are shaped by factors like experience, skills, education, and geography. In addition to base pay, total compensation includes equity and a comprehensive benefits package for you and your family. Salary Range: $60,000–$95,000 + Offers Equity We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Cresta recruiting email communications will always come from the @cresta.ai domain. Any outreach claiming to be from Cresta via other sources should be ignored.  If you are uncertain whether you have been contacted by an official Cresta employee, reach out to recruiting@cresta.ai 

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About the TeamThe Platform Team at OpenAI owns the foundational data and processing stack powering the OpenAI API and products built on top of it. We innovate on the infrastructure needed to serve the latest models and agentic workflows at an unprecedented pace of growth and scale with high performance and reliability. Join us to build and operate the core platform that underpins OpenAI’s products and allows our customers to deploy AI themselves.About the RoleThis role is centered on designing and deploying services and infrastructure that empower our models and agents to generate insights and execute tasks, all grounded in authorized data sources and internal systems. You’ll help define the most effective data access patterns to unlock higher model accuracy and task performance. You will own the full lifecycle of your work—from architecture and implementation to production operations and on-call responsibilities.Success in this role requires a solid understanding of enterprise data management fundamentals, including security, identity and access, performance, and reliability.In this role, you will:Design, build, and maintain infrastructure and networking systems that connect structured and unstructured data to LLMs in a performant and reliable manner.Design, build, and maintain secure and compliant systems to process sensitive and valuable data.Ensure our platform can support use cases at the scale of large enterprise customers, while remaining reliable and efficient.Integrate data access and authentication with our production model and agent systems.Collaborate with product, research and forward-deployed engineering teams to fill in the full picture on how to deploy production systems and achieve world-class results on overall task capabilities.Own the reliability of the systems you build, including participation in an on-call rotation for critical incidentsYou might thrive in this role if you:Have expertise in deploying, configuring, and operating software systems within customer-managed infrastructure and networks.Are excited to bring the power of AGI to the infrastructure the world runs on todayAre comfortable with ambiguity and rapid changeHave an intrinsic desire to learn and fill in missing skills, and an equally strong talent for sharing learnings clearly and concisely with othersAbout 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.Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. 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.

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Our MissionReflection’s mission is to build open superintelligence and make it accessible to all.We’re developing open weight models for individuals, agents, enterprises, and even nation states. Our team of AI researchers and company builders come from DeepMind, OpenAI, Google Brain, Meta, Character.AI, Anthropic and beyond.Role OverviewWe’re looking for a core member of Reflection’s Applied AI team to drive our Forward Deployed Engineering efforts with enterprise customers. This team works hands-on to translate advanced AI research into high-impact, real-world applications. As a Forward Deployed Engineer, you will own the technical strategy and delivery of agentic systems from initial customer discovery through production launch.What You'll DoPartner with Deployment Strategists and Sales to understand enterprise customer needs, architect solutions, and develop transformative agentic applications.Build agentic systems using state-of-the-art models, orchestrating LLM workflows, integrating with enterprise infrastructure, and deploying reliable production systems.Collaborate with research teams to adapt and fine-tune models for customer-specific needs.Support end-to-end deployments across hybrid environments (public cloud, VPC, and on-premises), helping ensure scalability, performance, and reliability in production.Contribute to evolving playbooks, processes, and best practices as part of a growing Forward Deployed Engineering organization.What We're Looking ForStrong software engineering background with experience shipping production-grade systems (Python, Typescript)Proven track record of deploying enterprise software in cloud or hybrid environments using modern DevOps practices (Docker, Kubernetes, and CI/CD).Deep understanding of machine learning concepts and hands-on experience with modern AI stacks, including vector databases, RAG pipelines, agent orchestration, evaluations, and fine-tuning.3+ years of software engineering experience delivering AI-driven enterprise solutions (e.g., Forward Deployed Engineer, Software Engineer, or Applied AI Engineer).Demonstrated ability and interest to work in customer-facing environments, understanding user needs, architecting solutions for real business problems, and delivering tangible outcomes.Self-starter with high agency and ownership, excelling in fast-paced startup environments where playbooks are still being written.What We Offer:We believe that to build superintelligence that is truly open, you need to start at the foundation. Joining Reflection means building from the ground up as part of a small talent-dense team. You will help define our future as a company, and help define the frontier of open foundational models.We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.Top-tier compensation: Salary and equity structured to recognize and retain the best talent globally.Health & wellness: Comprehensive medical, dental, vision, life, and disability insurance.Life & family: Fully paid parental leave for all new parents, including adoptive and surrogate journeys. Financial support for family planning.Benefits & balance: paid time off when you need it, relocation support, and more perks that optimize your time. Opportunities to connect with teammates: lunch and dinner are provided daily. We have regular off-sites and team celebrations.

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About Kerry CareKerry Care is a US-based healthcare technology startup building AI-powered systems to improve senior care delivery. We're early stage, mission-driven, and moving fast to solve real problems in how care is coordinated and delivered.We are looking to hire our Senior Technical Lead — the person who will own our technical architecture and set the engineering standard for the company.You'll be working with two other developers, but you are the senior engineer. You'll make the key technical decisions, build the core systems, and establish how we build software. This is not a management role — you'll be hands-on, writing code daily, and leading through technical excellence.This is a startup. That means ambiguity, pressure, direct access to founders, and real responsibility. You'll need to be highly driven and deeply interested in either AI systems, senior care technology, or both. It's a demanding role, but you'll work with smart people who care about the mission and you'll get direct exposure to how US startups actually operate.What You’ll DoOwn the technical architecture — backend, frontend, infrastructure, and AI integrationWrite code daily — build the critical systems yourselfMake stack and design decisions that will shape the product for yearsSet the standard for code quality, testing, and engineering disciplineIntegrate LLMs and AI workflows deeply into the platformWork directly with founders on product direction and technical roadmapCreate clarity and structure in an environment that doesn't have perfect specsMentor and guide the other developers technicallyMust-Have SkillsStrong TypeScript — you've built production systems with itDeep Node.js backend experienceSolid React frontend experienceProduction-grade real-time voice and telephony systemsSQL and database design — you know how to model data properlyExperience with TypeORM, Zod, or similar toolsAbility to reason about full-stack architectureExperience building with or integrating LLMs and AI systemsStrong engineering fundamentals — clean code, maintainability, system designBonus SkillsExperience at early-stage startupsDevOps and infrastructure experienceBackground in conversational AI or workflow automationWhy Join Kerry Care?Direct impact on senior care and patient outcomesTechnical ownership from day one — your decisions matterWork closely with founders and shape company directionReal exposure to US startup culture and executionSmall team, high responsibility, meaningful workAmbitious, driven teammates who care about what we're buildingInterview ProcessSilver screening Interview.Silver Technical Interview.Silver Coderbyte Quizz.Client Screening Interview.Client Live coding Interview.Client Technical interview.Client Behavioral Interview.This role is hard. It requires drive, ownership, and comfort with pressure. But if you want to build something real, with serious technical challenges and direct impact, this is it.

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Superhuman offers a dynamic hybrid working model for this role. This flexible approach gives team members the best of both worlds: plenty of focus time along with in-person collaboration that helps foster trust, innovation, and a strong team culture. About Superhuman Grammarly is now part of Superhuman, the AI productivity platform on a mission to unlock the superhuman potential in everyone. The Superhuman suite of apps and agents brings AI wherever people work, integrating with over 1 million applications and websites. The company’s products include Grammarly’s writing assistance, Coda’s collaborative workspaces, Mail’s inbox management, and Go, the proactive AI assistant that understands context and delivers help automatically. Founded in 2009, Superhuman empowers over 40 million people, 50,000 organizations, and 3,000 educational institutions worldwide to eliminate busywork and focus on what matters. Learn more at superhuman.com and about our values here. The Opportunity To achieve our ambitious goals, we’re looking for an Applied Research Scientist with a keen interest and background in natural language processing (NLP), machine learning (ML), and deep learning (DL) to join our Agents team. The team builds user-facing features that work in all Superhuman applications. We help our users write better, faster, and more effectively while working in big groups. The person in this role will bring their unique perspective to our product development process by contributing to ideation and defining the solution space. Based on their deep grasp of ML/DL/NLP concepts, the Applied Researcher will define the approach to solving the complex problems. The role will also build the intelligent functionality of our product offerings. Superhuman's engineers and researchers have the freedom to innovate and uncover breakthroughs—and, in turn, influence our product roadmap. The complexity of our technical challenges is growing rapidly as we scale our interfaces, algorithms, and infrastructure. Read more about our stack or hear from our team on our technical blog. Your Impact As an Applied Research Scientist, you will have the opportunity to harness your passion for building exciting new product offerings that will impact millions of lives. To do this, you'll need to stay up-to-date on the quickly evolving field of NLP while also focusing on building production systems. In this role, you will: Develop state-of-the-art tools for correcting, improving, and enhancing written English using various NLP, ML, and DL technologies. Productize and ship these features into Superhuman's product offerings, which millions of users use daily. Stay up-to-date with the latest research trends that could improve our product. Contribute to the research strategy and technical culture of the company. Attract professionals in the industry to build a best-in-class research team that creates a state-of-the-art writing and communication assistant. Qualifications Strong theoretical foundation in ML/DL algorithms and methodologies. Minimum 6–7 years of industry experience in researching and developing ML/DL technologies for real-world products. Additional 4–5 years of research experience in an academic environment (PhD or equivalent research background preferred). Deep experience in Natural Language Processing (NLP), Generative AI, and Large Language Models (LLMs). Proven track record of applying ML/DL algorithms effectively to NLP tasks. Strong research mentality with a math-oriented mindset and ability to innovate in cutting-edge areas. Proficiency in at least one modern programming language (preferably Python). Demonstrated ability to translate research into scalable, production-ready solutions. Excellent command of spoken and written English, knowledge of additional languages is a plus. Has a demonstrated ability to work independently with minimal guidance, proactively manages tasks and priorities across multiple projects, analyzes and executes work efficiently, collaborates effectively with cross-functional teams, and thrives in fast-paced, results-driven environments. Support for you, professionally and personally Professional growth: We believe that autonomy and trust are key to empowering our team members to do their best, most innovative work in a way that aligns with their interests, talents, and well-being. We also support professional development and advancement with training, coaching, and regular feedback. A connected team: Superhuman builds a product that helps people connect, and we apply this mindset to our own team. Our remote-first hybrid model enables a highly collaborative culture. We work to foster belonging among team members in a variety of ways. This includes our employee resource groups, Superhuman Circles, which promote connection among those with shared identities including BIPOC and LGBTQIA+ team members, women, and parents. We also celebrate our colleagues and accomplishments with global, local, and team-specific programs.  Comprehensive benefits for candidates based in Germany: Superhuman offers all team members competitive pay along with a benefits package encompassing life care (including mental health care and risk benefits) and ample and defined time off. We also offer support to set up a home office, wellness and pet care stipends, learning and development opportunities, and more. Relocation Support: Superhuman provides comprehensive relocation support to make your move to Berlin seamless. Our package includes visa assistance, destination services to help you and your family settle in comfortably, and a relocation bonus to cover additional expenses, such as temporary housing. We encourage you to apply At Superhuman, we value our differences, and we encourage all to apply. Superhuman is an equal-opportunity company. We do not discriminate on the basis of race or ethnic origin, religion or belief, gender, disability, sexual identity, or age. For more details about the personal data Superhuman collects during the recruitment process, for what purposes, and how you can address your rights, please see the Superhuman Data Privacy Notice for Candidates here. #LI-Hybrid  

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Intrinsic is Alphabet’s bet aiming to reimagine the potential of industrial robotics. Our team believes that advances in AI, perception and simulation will redefine what’s possible for industrial robotics in the near future – with software and data at the core.  Our mission is to make industrial robotics intelligent, accessible, and usable for millions more businesses, entrepreneurs, and developers. We are a dynamic team of engineers, roboticists, designers, and technologists who are passionate about unlocking the creative and economic potential of industrial robotics.Role As a Senior AI Research Scientist for Vision-guided robotics you will lead the research and development of novel deep learning algorithms that enable robots to perform complex, contact-rich manipulation tasks. You will explore the intersection of computer vision and robotic control, designing systems that allow robots to perceive and interact with objects in dynamic environments. Your work will involve creating models that integrate visual data to guide physical manipulation, moving beyond simple grasping to sophisticated handling of diverse items. You will collaborate with a multidisciplinary team of engineers and researchers to translate cutting-edge concepts into robust capabilities that can be deployed on physical hardware for industrial applications.   How your work moves the mission forward Research and develop deep learning architectures for visual perception and sensorimotor control in contact-rich scenarios. Design algorithms that enable robots to manipulate complex or deformable objects with high precision. Collaborate with software engineers to optimize and deploy research prototypes onto physical robotic hardware. Evaluate model performance in both simulation and real-world environments to ensure robustness and reliability. Identify opportunities to apply state-of-the-art advancements in computer vision and robot learning to practical industrial problems. Mentor junior researchers and contribute to the technical direction of the manipulation research roadmap.   Skills you will need to be successful PhD in Computer Science, Robotics, or a related field with a focus on machine learning or computer vision. 3 years of experience in applied research focused on robotic manipulation or robot learning. Proficiency in programming with Python and C++. Experience with deep learning frameworks such as PyTorch, JAX, or TensorFlow. Experience developing algorithms for vision-based manipulation or contact-rich interaction. Publication record in top-tier robotics or AI conferences (e.g., ICRA, IROS, CVPR, NeurIPS).    Skills that will differentiate your candidacy Experience with reinforcement learning or imitation learning for robotics. Familiarity with physics simulators like MuJoCo, Isaac Sim, or Gazebo. Experience integrating tactile sensors with visual perception systems Experience in LfD (Learning from Demonstrations), kinesthetic learning Background in sim-to-real transfer techniques for manipulation policies. Experience with transformer-based architectures or foundation models in a robotics context Experience deploying machine learning models on edge compute hardwar​e  At Intrinsic, we are proud to be an equal opportunity workplace. Employment at Intrinsic is based solely on a person's merit and qualifications directly related to professional competence. Intrinsic does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. It is Intrinsic’s policy to comply with all applicable national, state and local laws pertaining to nondiscrimination and equal opportunity. If you have a disability or special need that requires accommodation, please contact us at: candidate-support@intrinsic.ai.

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Intrinsic is Alphabet’s bet aiming to reimagine the potential of industrial robotics. Our team believes that advances in AI, perception and simulation will redefine what’s possible for industrial robotics in the near future – with software and data at the core.  Our mission is to make industrial robotics intelligent, accessible, and usable for millions more businesses, entrepreneurs, and developers. We are a dynamic team of engineers, roboticists, designers, and technologists who are passionate about unlocking the creative and economic potential of industrial robotics.Role As a Senior AI Research Scientist for Vision-guided robotics you will lead the research and development of novel deep learning algorithms that enable robots to perform complex, contact-rich manipulation tasks. You will explore the intersection of computer vision and robotic control, designing systems that allow robots to perceive and interact with objects in dynamic environments. Your work will involve creating models that integrate visual data to guide physical manipulation, moving beyond simple grasping to sophisticated handling of diverse items. You will collaborate with a multidisciplinary team of engineers and researchers to translate cutting-edge concepts into robust capabilities that can be deployed on physical hardware for industrial applications.   How your work moves the mission forward Research and develop deep learning architectures for visual perception and sensorimotor control in contact-rich scenarios. Design algorithms that enable robots to manipulate complex or deformable objects with high precision. Collaborate with software engineers to optimize and deploy research prototypes onto physical robotic hardware. Evaluate model performance in both simulation and real-world environments to ensure robustness and reliability. Identify opportunities to apply state-of-the-art advancements in computer vision and robot learning to practical industrial problems. Mentor junior researchers and contribute to the technical direction of the manipulation research roadmap.   Skills you will need to be successful PhD in Computer Science, Robotics, or a related field with a focus on machine learning or computer vision. 3 years of experience in applied research focused on robotic manipulation or robot learning. Proficiency in programming with Python and C++. Experience with deep learning frameworks such as PyTorch, JAX, or TensorFlow. Experience developing algorithms for vision-based manipulation or contact-rich interaction. Publication record in top-tier robotics or AI conferences (e.g., ICRA, IROS, CVPR, NeurIPS).    Skills that will differentiate your candidacy Experience with reinforcement learning or imitation learning for robotics. Familiarity with physics simulators like MuJoCo, Isaac Sim, or Gazebo. Experience integrating tactile sensors with visual perception systems Experience in LfD (Learning from Demonstrations), kinesthetic learning Background in sim-to-real transfer techniques for manipulation policies. Experience with transformer-based architectures or foundation models in a robotics context Experience deploying machine learning models on edge compute hardwar​e  At Intrinsic, we are proud to be an equal opportunity workplace. Employment at Intrinsic is based solely on a person's merit and qualifications directly related to professional competence. Intrinsic does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. It is Intrinsic’s policy to comply with all applicable national, state and local laws pertaining to nondiscrimination and equal opportunity. If you have a disability or special need that requires accommodation, please contact us at: candidate-support@intrinsic.ai.

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Our MissionReflection’s mission is to build open superintelligence and make it accessible to all.We’re developing open weight models for individuals, agents, enterprises, and even nation states. Our team of AI researchers and company builders come from DeepMind, OpenAI, Google Brain, Meta, Character.AI, Anthropic and beyond.About the RoleConduct critical comparative analysis to advance our understanding of model capabilitiesBuild and refine evaluation systems and processes that create tight feedback loops between data, evals, and model behaviorDevelop generalizable evaluation frameworks that capture what matters for reasoning, alignment, and usefulness.Collaborate closely with pre-training, post-training, and applied teams to translate insights into model improvements.Push the boundaries of what’s measurable, from synthetic evals to human feedback and real-world interaction data. About YouStrong statistical analysis and experimental design skills to rigorously measure model improvementsFamiliarity with LLM evaluation methodologies:static benchmarks, human preference evals, and/or agentic tasks.High agency and thrive in a fast-paced startup environment; bias for impact over process.Excited to work in a new frontier lab, defining how we measure and accelerate progress toward more capable models.Collaborative, detail-oriented, and motivated by building the feedback loops that make models truly improve.What We Offer:We believe that to build superintelligence that is truly open, you need to start at the foundation. Joining Reflection means building from the ground up as part of a small talent-dense team. You will help define our future as a company, and help define the frontier of open foundational models.We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.Top-tier compensation: Salary and equity structured to recognize and retain the best talent globally.Health & wellness: Comprehensive medical, dental, vision, life, and disability insurance.Life & family: Fully paid parental leave for all new parents, including adoptive and surrogate journeys. Financial support for family planning.Benefits & balance: paid time off when you need it, relocation support, and more perks that optimize your time. Opportunities to connect with teammates: lunch and dinner are provided daily. We have regular off-sites and team celebrations.

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About Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life.We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments.We are a dynamic, collaborative team passionate about AI and its potential to transform society.Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed worldwide with HQ in Paris. We are creative, low-ego and team-spirited.Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. About the Future AI Global leaders program Mistral AI is launching the first cohort of its 1-year program, featuring a tailored track for recent PhD from universities around the world, showcasing global Education excellence and tailored to cutting edge applications development. This program is designed to master complex AI challenges and bridge the gap between research and real-world impact. Over one year, you’ll rotate through hands-on projects to develop SOTA models across different modalities such as text, image, and speech in our different offices. You will apply these models across a diverse set of use cases and domains to tackle cutting-edge challenges in physical AI, time series analysis, materials science, cybersecurity and many more. This program, built for ambitious Phd and aspiring entrepreneurs is offering mentorship, diverse rotations, and the opportunity to collaborate with a global cohort of innovators to solve frontier challenges. We’re looking for exceptional talent from top universities to join our cohort. As part of the program, you’ll receive mentorship from industry leaders and contribute to projects that redefine what’s possible in AI. Program Track - Applied Science • Run pre-training, post-training and deploy state of the art models on clusters with thousands of GPUs.• Design, train, and deploy state-of-the-art models in specialized fields like time series, edge devices, quantization, cybersecurity, multimodal or robotics.• Generate and curate data for pre-training and post-training, working on evaluations and making sure the model’s performance beats expectations.• Develop the necessary tools and frameworks to facilitate data generation, model training, evaluation and deployment.• Collaborate with cross-functional teams to tackle complex use cases using agents and foundational models• Manage research projects and communications with client research teams. About you • You hold a PhD in a relevant field and have less than 2 years of professional experience.• You have experience in one or more of the following specialized fields: time series, edge devices, quantization, cybersecurity, multimodal, robotics.• You are proficient in Python and have experience with large codebases.• You have strong communication skills and the ability to work effectively in a team environment.• You are fluent in English.• You have signs of exceptional value work such as Olympiad medals, papers published at conferences, open-source contributions, or merit-based scholarships. More technical details • 1-year program starting in Spring 2026• Talents from all around the world will be welcomed in our Paris office for their training• Rotations in our different offices worldwide to work on our different projects through our acceleration program At the end of the track, you will have • Built unique technical expertise on Applied Science and foundational models• Developed and deployed performant models on highly complex use cases for global leaders• Shipped entire projects owning a massive scope and exposition What we offer 💰 Competitive cash salary 🥕 Daily lunch vouchers : Swile meal vouchers with 10,83€ per worked day, incl 60% offered by company🥎 Sport : Enjoy discounted access to gyms and fitness studios through our Wellpass partnership🚴 Transportation : Monthly contribution to a mobility pass via Betterway🌎 Visa sponsorship

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About Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life.We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work.We are a dynamic, collaborative team passionate about AI and its potential to transform society.Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed worldwide with HQ in Paris. We are creative, low-ego and team-spirited.Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. About the Future AI Global leaders program Mistral AI is launching the first cohort of its 1-year Program, featuring a tailored track for recent graduates (≤ 2y of experience). This program is designed to master AI and bridge the gap between research, engineering and real-world impact.Over one year, you’ll rotate through hands-on projects in AI development, deployment, and customer engagement, gaining exposure to the full lifecycle of cutting-edge solutions.This program, built for ambitious graduates and aspiring entrepreneurs is offering mentorship, diverse rotations, and the opportunity to collaborate with a global cohort of innovators to solve frontier challenges.We’re looking for exceptional talent from top universities to join our cohort. As part of the program, you’ll receive mentorship from industry leaders and contribute to projects that redefine what’s possible in AI. Program Track - Applied AI & Engineering • Work on state-of-the-art GenAI applications, from consumer products to industrial use cases.• Collaborate closely with research, product, and engineering teams to develop complex high-impact, scalable AI use cases.• Assist in the deployment of AI models, including fine-tuning, RAG, and Agentic workflows.• Engage in ongoing training and development to stay up-to-date with the latest advancements in AI technology.• Receive mentorship from experienced AI professionals and contribute to several projects. About you • You hold a Bachelor's or Master's degree obtained from a top University in 2024 or 2025 in AI, Machine Learning, Computer Science, or a related field.• You are fluent in English, and have excellent communication skills. You are at ease explaining complex technical concepts to both technical and non-technical audiences.• You are low-ego, collaborative and eager to learn.• You have signs of exceptional value work such as Olympiad medals, papers published at conferences, open-source contributions, or merit-based scholarships. More technical details • Talents from all around the world will be welcomed in our Paris office for their training• Rotations in our different offices worldwide to work on our different projects through our acceleration program At the end of the track, you will have • Built unique technical expertise on Applied AI and foundational models• Developed and deployed performant models on highly complex use cases for global leaders• Shipped entire projects owning a massive scope and associated exposition What we offer 💰 Competitive cash salary🥕 Daily lunch vouchers : Swile meal vouchers with 10,83€ per worked day, incl 60% offered by company🥎 Sport : Enjoy discounted access to gyms and fitness studios through our Wellpass partnership🚴 Transportation : Monthly contribution to a mobility pass via Betterway🌎 Visa sponsorship

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Who are Heidi?Heidi is building an AI Care Partner that supports clinicians every step of the way, from documentation to delivery of care.We exist to double healthcare’s capacity while keeping care deeply human. In 18 months, Heidi has returned more than 18 million hours to clinicians and supported over 73 million patient visits. Today, more than two million patient visits each week are powered by Heidi across 116 countries and over 110 languages.Founded by clinicians, Heidi brings together clinicians, engineers, designers, scientists, creatives, and mathematicians, working with a shared purpose: to strengthen the human connection at the heart of healthcare.Backed by nearly $100 million in total funding, Heidi is expanding across the USA, UK, Canada, and Europe, partnering with major health systems including the NHS, Beth Israel Lahey Health, MaineGeneral, and Monash Health, among others.We move quickly where it matters and stay grounded in what’s proven, shaping healthcare’s next era. Ready for the challenge?The RoleWorking closely with the Engineering Manager and Product Lead, you will be a Mid-level or Senior Fullstack Engineer who operates at the intersection of core product development and clinical application.As a Forward Deployed Engineer, you will serve as a technical accelerator for the engineering organization—designing, deploying, and refining end-to-end voice AI solutions that address complex user requirements with high velocity and precision.You will act as a primary technical liaison for our enterprise customers, bridging the gap between their complex infrastructure needs and our core platform to deliver seamless, scalable integrations within large healthcare environments.What you’ll do:Build end-to-end AI features: Architect and ship fullstack solutions (from React frontends to Python backend services) that leverage our voice AI and LLMs to automate clinical workflows.Operationalize Voice AI: Implement and fine-tune audio processing pipelines, ensuring our Automatic Speech Recognition (ASR) and LLM agents perform accurately in diverse, real-world medical environments.Bridge the gap between model and product: Translate complex feedback from clinicians into technical solutions, rapidly prototyping and deploying improvements to model behavior, prompting strategies, and audio handling.Optimise for real-time interaction: Tune fullstack performance to handle real-time audio streaming and token generation, minimizing latency so clinicians have a seamless conversational experience.Partner with implementation and clinical teams: Shorten the feedback loop by shipping critical integrations and feature requests from concept to production in days, not quarters.What we will look for:Mastery of Fullstack fundamentals: You are equally proficient in Python and modern frontend frameworks (React/TypeScript), capable of owning a feature from the database schema to the UI interaction.Applied AI & Voice fluency: You have a working knowledge of LLM integration (RAG, prompt engineering) and audio technologies (ASR, speech processing) and know how to build around their probabilistic nature.Pragmatic problem solving: You balance engineering purity with the need for speed; you know when to build a robust system and when to ship a tactical solution to unblock a customer.Cloud fluency (AWS or GCP): You can spin up your own infrastructure (containers, serverless functions) and manage CI/CD pipelines to get your code into the hands of users independently.Rigorous testing in production: You understand that "works on my machine" isn't enough; you implement observability and feedback loops to monitor how your AI features perform in the wild.What do we believe in?Heidi builds for the future of healthcare, not just the next quarter, and our goals are ambitious because the world’s health demands it. We believe in progress built through precision, pace, and ownership.Live Forever - Every release moves care forward: measured, safe, and built to last. Data guides us, but patients define the truth that matters.Practice Ownership - Decisions follow logic and proof, not hierarchy. Exceptional care demands exceptional standards in our work, our thinking, and our character.Small Cuts Heal Faster - Stability earns trust, speed delivers impact. Progress is about learning fast without breaking what people depend on.Make others better - Feedback is direct, kindness is constant, and excellence lifts everyone. Our success is measured by collective growth, not individual output.Our mission is clear: expand the world’s capacity to care, and do it without losing the humanity that makes care worth delivering.Why you will flourish with us 🚀?Flexible hybrid working environment, with 3 days in the office.Additional paid day off for your birthday and wellness daysSpecial corporate rates at Anytime Fitness in Melbourne, Sydney tbc.A generous personal development budget of $500 per annumLearn from some of the best engineers and creatives, joining a diverse teamBecome an owner, with shares (equity) in the company, if Heidi wins, we all winThe rare chance to create a global impact as you immerse yourself in one of Australia’s leading healthtech startupsIf you have an impact quickly, the opportunity to fast track your startup career!Help us reimagine primary care and change the face of healthcare in Australia and then around the world.

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About KreaAt Krea, we are building next-generation AI creative tools.We are dedicated to making AI intuitive and controllable for creatives. Our mission is to build tools that empower human creativity, not replace it.We believe AI is a new medium that allows us to express ourselves through various formats—text, images, video, sound, and even 3D. We're building better, smarter, and more controllable tools to harness this medium.This JobWe’re looking for an ML Engineer to architect and build Krea’s personalization and recommendation systems from scratch. You’ll have full ownership over how we understand user taste, curate content, and adapt generative models to individual aesthetics.This is a role at the intersection of recommendation systems, representation learning, and generative image and video tools.What you’ll doArchitect and build Krea’s personalization and recommendation stack from the ground up, owning the technical direction end to end.Design algorithms to model user preference and taste, enabling Krea’s models to adapt to individual styles and aesthetics.Build high-quality, curated feeds that balance exploration, personalization, and aesthetic coherence.Work directly with the our model and research team to co-design personalization mechanisms that influence how our generative models learn, adapt, and express style.Contribute to personalized image generation research, with a focus on style, taste and subjective quality.Collaborate closely with product, design, and research to define what “good personalization” means in a creative contextTake systems from research and prototyping through production, iteration, and continuous improvementWhat we’re looking forStrong experience building recommendation systems or personalized feeds from scratchProven ability to design and ship high-quality curated content experiencesExperience working with media-based personalization (image, video preferred; music or other modalities also welcome)Solid foundations in machine learning, representation learning, and modern deep learning techniquesStrong Python skills and experience with ML frameworks such as PyTorch or JAX.Ability to operate independently, make architectural decisions, and own complex systems end to endBonus pointsExperience with large-scale data systems and production ML infrastructurePrior work on or familiarity with diffusion models or generative image systemsBackground in embeddings, similarity search, ranking, or aesthetic evaluationInterest in creative tools, art, design, or generative mediaWhat we offerOpenness to sponsoring international candidates (e.g., STEM OPT, OPT, H-1B, O-1, E-3).Work alongside a world-class team building the future of AI creative tooling.Significant scope and company-wide impact.Competitive compensation (75th percentile of market) with meaningful equity.

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About MercorMercor is at the intersection of labor markets and AI research. We partner with leading AI labs and enterprises to provide the human intelligence essential to AI development.Our vast talent network trains frontier AI models in the same way teachers teach students: by sharing knowledge, experience, and context that can't be captured in code alone. Today, more than 30,000 experts in our network collectively earn over $1.5 million a day.Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society.Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our new San Francisco headquarters.About the RoleAs a Research Engineer Intern at Mercor, you’ll work at the intersection of engineering and cutting-edge AI research. You’ll contribute directly to post-training and RLVR, data generation, and large-scale evaluation workflows. Your work will be used to train Large Language Models to master tool-use, agentic behavior, and real-world reasoning. You’ll shape rewards, experiment with algorithmic improvements (GRPO, DAPO, etc.), and enhance data quality to improve model performance in real production environments. You’ll help design and evaluate datasets, create scalable data augmentation pipelines, and build rubrics that push the boundaries of what LLMs can learn.What You’ll DoWork on post-training and RLVR pipelines to help Mercor understand how datasets impact model performance.Design and run reward-shaping experiments and algorithmic improvements (e.g., GRPO, DAPO) to improve LLM tool-use, agentic behavior, and real-world reasoning.Quantify data usability, quality, and uplift on key benchmarks.Build data generation and augmentation pipelines that scale with training needs.Create and refine rubrics, evaluators, and scoring frameworks that push the boundaries of what LLMs can learn.Collaborate closely with research engineers, applied AI teams, and experts producing data. Operate in a fast-paced, experimental research environment with rapid iteration cycles.What We’re Looking ForPursuing a degree in Computer Science or a related field (graduating 2025–2027); ability to start in early 2026 is strongly preferred.Strong programming skills in Python, Go, or JavaScript, with an ability to write clean, reliable, production-grade code.Understanding of data structures, algorithms, backend systems, and core engineering fundamentals.Familiarity with APIs, SQL/NoSQL databases, and cloud platforms.Curiosity and passion for AI research, reinforcement learning, and fast-moving startups.Excitement to work in person and thrive in a high-intensity, high-ownership engineering environment.Nice To HaveReal-world post-training team experience in industryWork samples, artifacts, or code repositories demonstrating relevant skillsPublications at ACL, NeurIPS, or ICML conferencesExperience training models or evaluating model performanceBenefitsCompetitive internship stipend.Mentorship from experienced engineers.Work on real, high-impact projects.$1K monthly stipend for mealsFree Equinox membershipTeam events and offsites.Potential full-time return offer.