Find AI Work That Works for You

true

Location: SF Bay Area/RemoteType: Full-TimeAbout the Role:LMArena 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.Responsibilities:Design 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 toolsBonus 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. 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.Requirements:PhD 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 researchWhat we offer:The cash compensation for this position has not yet been finalized. Actual compensation will depend on job-related knowledge, skills, experience, and candidate location.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 impactCome help build the space where anyone can explore and help shape the future of AI.

false

About Augment Code Augment Code is the only AI coding assistant built for professional software engineers working in large, production‑grade codebases. Our Context Engine understands your entire repo, enabling developers to stay in flow while writing, reviewing, and understanding code. Backed by top‑tier investors and trusted by engineering teams at leading tech companies, Augment Code is redefining how modern software is built. About the Role You'll be the architect of Augment's major market moments. In an industry where launch weeks drive record sign-ups and product launches make or break leaders, you'll own our most critical growth and reputation levers. You're the conductor of a fast-pace and world-class orchestra, coordinating story telling and launch efforts that accelerate Augment's trajectory. This role puts you at the intersection of cutting-edge AI technology and explosive startup growth, where your ability to move fast and coordinate flawlessly determines how Augment captures market-defining moments. Your mission Transform advanced technical and AI capabilities into compelling narratives, inspiring demos and brand-defining moments that grab attention, set a new bar for the industry, drive adoption, and shape how developers and engineering leaders see Augment Code and Software development with agents. Key responsibilities Drive product launches end-to-end: positioning, messaging, channel strategy, campaign execution Build launch frameworks that are repeatable, scalable, and adaptable Lead cross-functional coordination across Product, Eng, Design, DevRel, Sales, and Comms Translate technical product updates into developer-first storytelling across formats (web, docs, video, etc.) Partner with community leaders, creators, and press to amplify our launches Continuously refine positioning by listening to devs, analyzing usage, and watching competitors Key Competencies Strategic storytelling that resonates with both builders and buyers Deep empathy for developers and how they evaluate ans use tools and AI Project management under tight timelines Taste and creativity to make launches stand out Clear, punchy copywriting across channels Comfort working in ambiguity and iterating quickly Operational Excellence You’re the engine behind well-orchestrated, high-velocity and high-impact launches that break silos, keep Augment top of mind as a leader, and drive adoption. Required Experience Proven success leading product launches in fast-moving environments Developer tools experience and familiarity with how engineers evaluate and adopt products Strong cross-functional leadership, including direct work with Product, Eng, Marketing, and Execs Experience crafting product stories across formats and mediums (web, video, social, demos) Hands-on experience with AI tools and a grasp of how developers use AI Strong understanding of developer ecosystems, including how to activate communities, influencers, and press Employee Benefits: Flexible work hours Competitive salary & Equity Tools Stipend Health, Dental, Vision and Life Insurance Short Term and Long Term Disability Unlimited Paid Time Off + Holidays. We focus on trust and ownership, not time in the chair Numerous company social events We will do everything we can within reason to make sure that your interview takes place in an environment that fairly and accurately assesses your skills. If you need assistance or accommodation, please contact your recruiter. Augment Code is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Augment Code's Applicant Privacy Policy.  Pay Transparency Notice: The actual base salary within the stated range will be based on a combination of factors such as an individual's skills, experience level, educational background, and other relevant job-related considerations. Annual Base Salary Range$150,000—$200,000 USD

false

ABOUT BASETENBaseten provides the infrastructure, tooling, and expertise needed to bring great AI products to market - fast. Backed by top investors including IVP, Spark Capital, Greylock, and Conviction, we’re trusted by leading AI-driven innovators like Writer, Abridge, Bland, Patreon, Descript, Retool, and Zed to deliver industry-leading performance, security, and reliability for their mission-critical workloads. With our recent $75M Series C funding, we’re growing fast to make AI accessible across all products.THE ROLEAs a Senior Enterprise Platform Engineer at Baseten, you'll architect and lead development of infrastructure and platform features for our enterprise customers and cloud partners. This includes enabling self-hosted and single tenant clusters, region-aware request routing, enterprise-grade data and security integrations, and more.EXAMPLE INITIATIVESYou'll get to work on these types of projects as part of our Infrastructure team:Multi-cloud capacity managementInference on B200 GPUsMulti-node inferenceFractional H100 GPUs for efficient model servingRESPONSIBILITIESArchitect and develop infrastructure and platform features tailored for enterprise customers, including self-hosted clusters, single-tenant environments, and cross-cloud workload orchestration.Lead technical initiatives to productize secure and scalable private connectivity solutions.Design and implement solutions addressing the complex regulatory and compliance requirements of our customers, including data residency, auditability, and enterprise data protection.Advance our self-hosted infrastructure offerings, focusing on capacity management, release management, and observability tooling.Collaborate on partner-focused initiatives to deliver secure, minimal Baseten deployments within partner environments.Evaluate and implement emerging virtualization technologies to enhance platform isolation and security.Independently develop technical specifications, collaborate cross-functionally to define product requirements, and drive projects from conception through execution.Provide mentorship and leadership on enterprise infrastructure best practices, fostering knowledge-sharing across engineering teams.REQUIREMENTSBachelor's degree or higher in Computer Science or related field5+ years of experience building distributed systems, cloud infrastructure, or Kubernetes-based solutions in production environmentsPast experience working with enterprise security, compliance, and privacy requirementsAdvanced understanding of distributed systems concepts, cloud architectures, and performance optimizationDemonstrated ability to independently manage technical projects, from planning and specification through implementationExcellent collaboration and communication skills, with experience coordinating across functional teams and directly with customersPreferred experience working with AI/ML systems or familiarity with MLOps practicesBENEFITSCompetitive compensation package.This is a unique opportunity to be part of a rapidly growing startup in one of the most exciting engineering fields of our era.An inclusive and supportive work culture that fosters learning and growth.Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.

false

About DecagonDecagon is the leading conversational AI platform empowering every brand to deliver concierge customer experience. Our AI agents provide intelligent, human-like responses across chat, email, and voice, resolving millions of customer inquiries across every language and at any time.Since coming out of stealth, Decagon has experienced rapid growth. We partner with industry leaders like Hertz, Eventbrite, Duolingo, Oura, Bilt, Curology, and Samsara to redefine customer experience at scale. We've raised over $200M from Bain Capital Ventures, Accel, a16z, BOND Capital, A*, Elad Gil, and notable angels such as the founders of Box, Airtable, Rippling, Okta, Lattice, and Klaviyo.We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values—customers are everything, relentless momentum, winner’s mindset, and stronger together—shape how we work and grow as a team.About the TeamOver the past few years, development of LLMs has evolved at a rapid pace. It’s not enough for our customers to just “set it and forget it” when it comes to AI software. Truly successful AI Agents require guidance and input throughout the development lifecycle.The Agent Product Management team drives this journey as Decagon’s in-house experts on building, deploying, and scaling AI agents. Agent PMs work directly with customers to bring their AI agents to life, and then grow each Agent into a core part of each company’s businesses. As one of our early APM’s, you will deploy our technology into some of the world’s most influential businesses, driving real world business impact as one part Product Manager, one part AI expert.About the RoleOn the APM team you’ll own each stage of the AI Agent building process. This can include:Collaborating with engineering to design a new product featureWriting and testing prompt logic for a specific customer use caseWorking with a customer’s executive team to define their AI roadmapYou’ll partner closely with every team at Decagon: Go-To-Market, Design, Engineering, and across our leadership team. You’ll become a key source of customer insight guiding our long-term product roadmap.APMs at Decagon own their own portfolio of agents from end-to-end and are trusted to make real impact. This role is for someone who dives deep into complex business problems, builds elegant solutions and then scales. them out to millions users.In this role, you willBuild, Design and optimize Enterprise-quality AI agents in collaboration with customers — understanding their workflows, pain points, and goals.Embed deeply within strategic customers to understand their business challenges and serve as a strategic advisor to their AI roadmapRun tight feedback loops into Engineering — influence feature development based on real customer needs.Represent Decagon externally — working closely with customers and prospects, participating in key deployments.Your background looks something like thisHave 4+ years of relevant experience (e.g., product manager, engagement manager, consultant, founder, etc.)Deep technical acumen — able to understand and shape AI agent designs.Strong communication and relationship-building skills.Comfort working in fast-moving, ambiguous environments where you shape solutions as much as you implement them.Even betterA Computer Science, Engineering, or Math degree — or equivalent technical experience.BenefitsMedical, dental, and vision benefitsTake what you need vacation policyDaily lunches, dinners and snacks in the office to keep you at your bestCompensation$200K – $285K + Offers Equity

true

About UsAt Hayden AI, we are on a mission to harness the power of computer vision to transform the way transit systems and other government agencies address real-world challenges.From bus lane and bus stop enforcement to transportation optimization technologies and beyond, our innovative mobile perception system empowers our clients to accelerate transit, enhance street safety, and drive toward a sustainable future.What the job involvesAs a member of the Hayden Software Engineering org you will help build our next generation product for enforcing School Bus Stop safety. This team is developing edge-based vehicle detection and tracking AI models. This is a C++ software engineering generalist role.  You will be delivering high quality C++ code that runs on edge devices.You will build and improve the accuracy of ML / CV models, including refining open-source models to solve Hayden-specific problems.Expect to collaborate with Product Management to translate customer needs to software solutions.Hayden is a startup. You will be working in an ambiguous, fast-paced environment.As Hayden begins an organizational scale-up phase, we need to build a rock-solid foundation. That means delivering well-designed and well-tested code that can be shared across the organization.ResponsibilitiesDeliver bullet-proof, rigorously tested C++ code.Iterate on our suite of real-time vehicle tracking and license plate reading systems.Refine and optimize cloud-side image and video processing.Deep dive into performance optimization, focusing on algorithms specifically for the Nvidia Jetson architecture.Enhance the infrastructure and tooling used for performance analysis, ensuring efficient development cycles.QualificationsBachelor's or Master's degree in Computer Science, Electrical Engineering, or a closely related field.Background in Machine Learning, Image Processing, Computer Vision, or a similar field.Minimum 7 years of industry experience.Strong programming proficiency in C++.Past experience collaborating with other software engineers. Hayden is beginning a scale-up process within the organization. We need people who can function in a larger organization. Ways to stand outIn-depth knowledge and experience with embedded systems development.Familiarity with CUDA/OpenCL programming and video processing pipelines.Proficiency with common ML tools (e.g., Spark, TensorFlow, PyTorch).Familiarity managing data processing and machine learning code via GitHub.Experience with iOS or Android mobile application development beyond UI.Experience with ROS or other robotics systems.

true

This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates.At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI.What we doThe Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.About the RoleIf you’re a professional who works with text, Mindrift offers a unique opportunity to apply your writing, editing, and creative and communication skills to an AI training project. As an AI Tutor - Writer, your work will help train AI models, shaping how they understand and generate human-like text. This isn’t just traditional writing - you’ll be crafting text that teaches AI reasoning, logic accuracy, nuance, and clarity.Although every project is unique, you might typically: Crafting original, clear, and fact-checked responses based on project guidelines. Following style and quality standards to ensure consistency. Collaborating with Quality Assurance Specialists to refine and improve content. How to get startedSimply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you’ll help shape the future of AI while ensuring technology benefits everyone.Requirements You have a Master’s Degree or Bachelor’s Degree in communications, linguistics, literature, journalism, or education to ensure a strong understanding of grammar and stylistic features. You have at least 3 years of professional experience. Your level of English is proficient (C2). You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines. Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge. BenefitsWhy this freelance opportunity might be a great fit for you? Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments. Work on advanced AI projects and gain valuable experience that enhances your portfolio. Influence how future AI models understand and communicate in your field of expertise.

false

At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you.So, what’s the role all about? The Prompt Engineer optimizes prompts to generative AI models across NiCE's Illuminate applications. As part of the Illuminate Research team, the Prompt Engineer works with several groups in the business to help our applications deliver the highest quality customer experience. The Prompt Engineer partners with global development teams to help diagnose and resolve prompt-based issues. This includes helping to define and execute tests for LLM-based systems that are difficult to evaluate with traditional test automation tools. The Prompt Engineer also helps educate the development teams on advances in prompt engineering and helps update production prompts to evolving industry best practices.   How will you make an impact? Regularly review production metrics and specific problem cases to find opportunities for improvement. Help diagnose and resolve issues with production prompts in English. Refine prompts to generative AI systems to achieve customer goals. Collect and present quantitative analysis on solution success. Work with application developers to implement new production monitoring tools and metrics. Work with architects and Product Managers to implement prompts to support new features. Meet regularly with teams working in United States Mountain and Pacific time zones (UTC-7:00 and UTC-8:00). Review new prompts and prompt changes with Machine Learning Engineers. Consult with Machine Learning Engineers for more challenging problems. Stay informed about new advances in prompt engineering.   Have you got what it takes?   Fluent in written and spoken English. BS in technology-related field such as computer science, business intelligence/analytics, or finance. 2-4 years' work experience in a technology-related industry or position. Familiarity with best practices in prompt engineering, to include differences in prompts between major LLM vendors. Ability to develop and maintain good working relationships with cross-functional teams. Ability to clearly communicate and present to internal and external stakeholders. Experience with Python and at least one web app framework for prototyping, e.g., Streamlit or Flask.   You will have an advantage if you also have Basic AWS resource management, including microservice deployment. Containerization via Docker. Experience with both standard and AI-based testing frameworks such as PyTest and DeepEval. Exposure to generative AI application frameworks like LangChain, LlamaIndex, and griptape   What’s in it for you? Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NiCE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NiCEr!   Enjoy NiCE-FLEX! At NiCE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere.   Requisition ID: 8429 Reporting into: Tech Manager Role Type: Individual ContributorAbout NiCE NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions. Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries. NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.  

false

About Faculty At Faculty, we transform organisational performance through safe, impactful and human-centric AI. With more than a decade of experience, we provide over 350 global customers with software, bespoke AI consultancy, and Fellows from our award winning Fellowship programme. Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI. Should you join us, you’ll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world.Because of the potential to work with our UK Defence clients, you will need to be eligible for UK SC clearance and willing to work up to three days per week on site with these customers, which may require travel to locations outside of our London base. The minimum requirement for SC clearance is 5 years continuous residence in the UK up to the present.About the RoleYou will design, build, and deploy production-grade software, infrastructure, and MLOps systems that leverage machine learning. The work you do will help our customers solve a broad range of high-impact problems in the Defence and National Security arena. What You'll Be DoingYou are engineering-focused, with a keen interest and working knowledge of operationalised machine learning. You have a desire to take cutting-edge ML applications into the real world. You will develop new methodologies and champion best practices for managing AI systems deployed at scale, with regard to technical, ethical and practical requirements. You will support both technical, and non-technical stakeholders, to deploy ML to solve real-world problems. Our Machine Learning Engineers are responsible for the engineering aspects of our customer delivery projects. As a Machine Learning Engineer, you’ll be essential to helping us achieve that goal by:Building software and infrastructure that leverages Machine Learning;Creating reusable, scalable tools to enable better delivery of ML systemsWorking with our customers to help understand their needsWorking with data scientists and engineers to develop best practices and new technologies; andImplementing and developing Faculty’s view on what it means to operationalise ML software.As a rapidly growing organisation, roles are dynamic and subject to change. Your role will evolve alongside business needs, but you can expect your key responsibilities to include:Working in cross-functional teams of engineers, data scientists, designers and managers to deliver technically sophisticated, high-impact systems.Working with senior engineers to scope projects and design systemsProviding technical expertise to our customersTechnical DeliveryWho We're Looking ForYou can view our company principles here. We look for individuals who share these principles and our excitement to help our customers reap the rewards of AI responsibly.To succeed in this role, you’ll need the following - these are illustrative requirements and we don’t expect all applicants to have experience in everything (70% is a rough guide):Understanding of, and experience with the full machine learning lifecycleWorking with Data Scientists to deploy trained machine learning models into production environments Working with a range of models developed using common frameworks such as Scikit-learn, TensorFlow, or PyTorchExperience with software engineering best practices and developing applications in Python.Technical experience of cloud architecture, security, deployment, and open-source tools ideally with one of the 3 major cloud providers (AWS, GCP or Azure)Demonstrable experience with containers and specifically Docker and KubernetesAn understanding of the core concepts of probability and statistics and familiarity with common supervised and unsupervised learning techniquesDemonstrable experience of managing/mentoring more junior members of the team Outstanding verbal and written communication.Excitement about working in a dynamic role with the autonomy and freedom you need to take ownership of problems and see them through to executionWe like people who combine expertise and ambition with optimism -- who are interested in changing the world for the better -- and have the drive and intelligence to make it happen. If you’re the right candidate for us, you probably:Think scientifically, even if you’re not a scientist - you test assumptions, seek evidence and are always looking for opportunities to improve the way we do things.Love finding new ways to solve old problems - when it comes to your work and professional development, you don’t believe in ‘good enough’. You always seek new ways to solve old challenges.Are pragmatic and outcome-focused - you know how to balance the big picture with the little details and know a great idea is useless if it can’t be executed in the real world.What we can offer you: The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. Faculty is the professional challenge of a lifetime. You’ll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you’ll learn something new from everyone you meet.

true

Welcome to the video first world From your everyday PowerPoint presentations to Hollywood movies, AI will transform the way we create and consume content. Today, people want to watch and listen, not read — both at home and at work. If you’re reading this and nodding, check out our brand video. Despite the clear preference for video, communication and knowledge sharing in the business environment are still dominated by text, largely because high-quality video production remains complex and challenging to scale—until now…. Meet Synthesia We're on a mission to make video easy for everyone. Born in an AI lab, our AI video communications platform simplifies the entire video production process, making it easy for everyone, regardless of skill level, to create, collaborate, and share high-quality videos. Whether it's for delivering essential training to employees and customers or marketing products and services, Synthesia enables large organizations to communicate and share knowledge through video quickly and efficiently. We’re trusted by leading brands such as Heineken, Zoom, Xerox, McDonald’s and more. Read stories from happy customers and what 1,200+ people say on G2. In February 2024, G2 named us as the fastest growing company in the world. Today, we're at a $2.1bn valuation and we recently raised our Series D. This brings our total funding to over $330M from top-tier investors, including Accel, Nvidia, Kleiner Perkins, Google and top founders and operators including Stripe, Datadog, Miro, Webflow, and Facebook. What you'll do at Synthesia: You will work end-to-end, contributing to our client application written in React and our monolithic backend written in Python, and managing the safe release of your features to our customer base. You will have sole ownership of projects that span months, requiring you to have the ability to break a problem down into small steps that can be delivered and validated iteratively. You will work directly with the product manager responsible for your project, meaning that you will be expected to ideate and focus on the commercial problem that you're solving, and you will have the opportunity to shape the direction of the product. You will evaluate your own work, leveraging our data pipeline and frameworks that we have established to understand the impact your features have on our commercial objectives and pivoting where necessary. You will consider the long-term direction of the team, making sure that we are developing the engineering capabilities that will allow us to stay ahead of the challenges we are likely to encounter in 6-12 months' time.   What we're looking for: At least seven (7) years of experience as a software engineer, at least 3 on the senior/lead level. You have experience in a high-performing engineering team that is operating at scale. This could come from a scale-up environment or a more established organization recognised for building and shipping with a great engineering culture. An ability to work across the stack, with deep knowledge on server side and all things back end related. BE only experience is OK if you are happy to occasionally help out with FE. Relevant engineering experience for a team building an enterprise-grade SaaS product delivering AI-powered video generation; billing systems, experimentation platforms, video delivery systems, online editors, real-time collaboration and so on. Strong alignment with commercial success. Previous leadership experience of smaller teams is a plus.    Why join us? We’re living the golden age of AI. The next decade will yield the next iconic companies, and we dare to say we have what it takes to become one. Here’s why, Our culture At Synthesia we’re passionate about building, not talking, planning or politicising. We strive to hire the smartest, kindest and most unrelenting people and let them do their best work without distractions. Our work principles serve as our charter for how we make decisions, give feedback and structure our work to empower everyone to go as fast as possible. You can find out more about these principles here. Serving 50,000+ customers (and 50% of the Fortune 500) We’re trusted by leading brands such as Heineken, Zoom, Xerox, McDonald’s and more. Read stories from happy customers and what 1,200+ people say on G2. Proprietary AI technology Since 2017, we’ve been pioneering advancements in Generative AI. Our AI technology is built in-house, by a team of world-class AI researchers and engineers. Learn more about our AI Research Lab and the team behind. AI Safety, Ethics and Security AI safety, ethics, and security are fundamental to our mission. While the full scope of Artificial Intelligence's impact on our society is still unfolding, our position is clear: People first. Always.  Learn more about our commitments to AI Ethics, Safety & Security.   The hiring process: 30-40min call with our technical recruiter 45min call with engineers about your past projects Take-home assignment (no alternative is offered) - does not have a deadline and is syntax-agnostic, so you're welcome to use the tools and languages you're most comfortable with. That said, we strongly prefer contributions using our core stack: React/TypeScript on the frontend, and Python/Flask on the backend. 60min technical discussion 30min call with leadership  The process does not need to take long - we can be done in seven working days.   Other important info: This is a remote role from an EU country, UK or Switzerland.  The salary starts at EUR/GBP/CHF 100.000 base + stock option plan. This is full-time employment only - no contractors possible - usually through OysterHR. Everyone at Synthesia gets 25 days of leave + local holidays (no extra paid or unpaid leave possible). We only sponsor VISA if you are in the UK/EU country already and need support - we do not relocate people.

false

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!Product Management at Cohere:We view the role that PMs play at Cohere to be “full-stack” in the sense that you will work with cross-functional stakeholders at every step of the way when conducting product discovery, training and evaluating models, designing the product, delivering the experience, and ensuring successful GTM and customer happiness.About the Code Role:AI is rapidly changing how software is developed, but many enterprises have been unable to adopt these powerful new tools due to strict security, privacy, and compliance requirements. Cohere is uniquely positioned to bridge this gap by building enterprise-ready AI for developers.This is a foundational, 0-to-1 product management role focused on defining and building Cohere's code generation product suite from the ground up. The focus of this PM will be to discover and deliver the most valuable coding products for our enterprise customers, leveraging Cohere’s state-of-the-art models and our trusted position in the market. The expectation is that you have a deep passion for developer tools, a strong understanding of the AI landscape, and experience navigating the needs of enterprise customers.This role will be responsible for defining and building:The overall product strategy and roadmap for Code at Cohere.The end-to-end user experience for developers, including potential form factors like chat interfaces, IDE plugins, and CLIs.The go-to-market motion required for successful enterprise adoption, in partnership with sales and marketing.The feedback loop that guides our research team in building the next generation of code models.In this role, you will:Define strategic priorities and the product roadmap for Code at Cohere, focusing on enterprise needs and emerging AI capabilities.Use deep customer engagement and data to understand developer workflows, identify high-value use cases, and guide product development.Collaborate with a wide range of stakeholders, including teams in research, engineering, design, product, finance, go-to-market, and marketing.Drive product strategy through a deep understanding of the dynamic and competitive AI landscape for developer tools.Partner closely with our world-class research team to ensure our code models remain state-of-the-art and are tailored to solve enterprise challenges.You're likely a good fit if you have:Product Management Experience: A demonstrated track record in product management (4+ years) of shipping developer-focused or AI-powered products from concept to launchDeveloper-First Mindset: A genuine passion for and deep understanding of developer workflows, developer experience (DX), and the rapidly evolving AI coding assistant landscapeTechnical Collaboration: The technical depth to collaborate effectively with world-class research and engineering teams, whether from a formal CS background or equivalent hands-on experience in software developmentAI/ML Knowledge: Hands-on experience with LLMs or code generation technologies, and a clear vision for the future of AI in software developmentCross-Functional Leadership: Experience leading and unifying cross-functional teams (research, engineering, design, sales, marketing) around a compelling product vision and roadmapCommunication Excellence: Exceptional communication and execution skills, with the ability to translate complex technical concepts into clear business outcomes and inspire teams to deliverIf 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.

true

🚀 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 Growth Engineer to join our small but mighty team and help accelerate Bolt’s product-led growth engine. This is a hands-on, experimental, fast-moving role, ideal for someone who loves solving real user problems with code, thrives in ambiguity, and has an eye for both impact and UX. You’ll be building everything from rapid landing page tests to in-product experiments, feature variations, email triggers, and more, all with the goal of helping users discover value faster, return more often, and upgrade when it makes sense. This role is full-stack but leans toward the front-end, where most experiments will live. You’ll collaborate closely with product, design, and growth, and you’ll be expected to bring ideas, not just build tickets. 🛠️ How You'll Contribute  Build and ship rapid experiments across the full funnel — landing pages, onboarding flows, upgrade nudges, etc. Work closely with product/growth to identify high-leverage problems and propose scrappy technical solutions Implement trigger-based email and messaging systems (e.g. behavior-based lifecycle emails) Support and build small product features that unlock user value or monetization Use AI and prompt engineering to prototype and improve user experiences (bonus: you’ve built agents or flows before) Analyze experiment results and iterate quickly based on performance 💡 Qualifications Experience as a full-stack engineer, with proficiency in React, Node.js, Tailwind CSS, and strong front-end development skills. Track record of rapidly shipping features and iterating based on learnings. Product-focused mindset — able to think like a PM or growth hacker, with a strong interest in understanding and influencing user behavior. Experience building or integrating email systems, onboarding flows, and/or dynamic user interfaces. Familiarity with AI tools and prompt engineering to enhance development efficiency. Comfortable prototyping MVPs, testing new ideas, and iterating to find product-market fit. Ability to thrive in fast-paced, ambiguous environments 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 AI agents, structured prompts, or workflows Experience working in a startup or PLG-driven product team Familiarity with A/B testing frameworks or analytics platforms (Mixpanel, PostHog, etc.) Comfort working closely with designers and copywriters on micro UX experiments 📌 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

false

About Augment Code Augment Code is the only AI coding assistant built for professional software engineers working in large, production‑grade codebases. Our Context Engine understands your entire repo, enabling developers to stay in flow while writing, reviewing, and understanding code. Backed by top‑tier investors and trusted by engineering teams at leading tech companies, Augment Code is redefining how modern software is built. About the Role You'll be the architect of Augment's major market moments. In an industry where launch weeks drive record sign-ups and product launches make or break leaders, you'll own our most critical growth and reputation levers. You're the conductor of a fast-pace and world-class orchestra, coordinating story telling and launch efforts that accelerate Augment's trajectory. This role puts you at the intersection of cutting-edge AI technology and explosive startup growth, where your ability to move fast and coordinate flawlessly determines how Augment captures market-defining moments. Your mission Transform advanced technical and AI capabilities into compelling narratives, inspiring demos and brand-defining moments that grab attention, set a new bar for the industry, drive adoption, and shape how developers and engineering leaders see Augment Code and Software development with agents. Key responsibilities Drive product launches end-to-end: positioning, messaging, channel strategy, campaign execution Build launch frameworks that are repeatable, scalable, and adaptable Lead cross-functional coordination across Product, Eng, Design, DevRel, Sales, and Comms Translate technical product updates into developer-first storytelling across formats (web, docs, video, etc.) Partner with community leaders, creators, and press to amplify our launches Continuously refine positioning by listening to devs, analyzing usage, and watching competitors Key Competencies Strategic storytelling that resonates with both builders and buyers Deep empathy for developers and how they evaluate and use tools and AI Taste and creativity to make product narratives, content, campaigns and launches stand out Clear, punchy copywriting across channels that appeals to developers and engineering leaders Comfort working in ambiguity and iterating quickly Required Experience Proven success leading product marketing teams in developer tools Strong cross-functional leadership, including direct work with Product, Engineering, Marketing, founders and an Executive team Prior experiences as a professional Software Engineer and strong understanding of developer ecosystems Hands-on experience with AI tools and a strong grasp of how developers choose and use AI Experience crafting product launches, technical content, sales enablement and stories that stand out Employee Benefits: Flexible work hours Competitive salary & Equity Tools Stipend Health, Dental, Vision and Life Insurance Short Term and Long Term Disability Unlimited Paid Time Off + Holidays. We focus on trust and ownership, not time in the chair Numerous company social events We will do everything we can within reason to make sure that your interview takes place in an environment that fairly and accurately assesses your skills. If you need assistance or accommodation, please contact your recruiter. Augment Code is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Augment Code's Applicant Privacy Policy.

false

Why HarveyHarvey is a secure AI platform for legal and professional services that augments productivity and automates complex workflows. Harvey uses algorithms with reasoning-adept LLMs that have been customized and developed by our expert team of lawyers, engineers and research scientists. We’ve found product market fit and are scaling our team very quickly. Some reasons to join Harvey are:Exceptional product market fit: We have partnered with the largest law firms and professional service providers in the world, including Paul Weiss, A&O Shearman, Ashurst, O'Melveny & Myers, PwC, KKR, and many others.Strategic investors: Raised over $500 million from strategic investors including Sequoia, Google Ventures, Kleiner Perkins, and OpenAI.World-class team: Harvey is hiring the best talent from DeepMind, Google Brain, Stripe, FAIR, Tesla Autopilot, Glean, Superhuman, Figma, and more.Partnerships: Our engineers and researchers work directly with OpenAI to build the future of generative AI and redefine professional services.Performance: 4x ARR in 2024.Competitive compensation.Role OverviewAs a Software Engineer on the Product Engineering team at Harvey, you will own and lead engineering projects across our various product lines. You will work closely with our AI, Legal, and GTM teams to build secure systems that deliver value to our customers. We are looking for individuals who have worked across the stack on incredible products across consumer, enterprise, and various industries and who are excited about building the future of application layer and genAI products.This role is based in San Francisco, CA. We use an in-person work model and offer relocation assistance to new employees.What You’ll DoRetrieval over peta-byte scale documentsOrganizational-level interfaces to collaborate with AIManaging dedicated GPU capacity across 5+ regions1000-step planning agents that help take companies publicGovernment-level security for the world's most sensitive mattersEvaluating LLMs across a 10k+ leaf taxonomy of tasksInternet-scale data collection from over 50+ jurisdictionsWhat You Have6+ YoE (post-BS/MS) in a product focused full-stack software engineering role.Track record of building fast-growing SaaS products by leveraging PWA technologies.Track record of shipping highly intuitive products, strong attention to detail.Experience building backend platforms that can support multiple product lines.Strong programming skills and general Computer Science knowledge.Grit - experience working at early-stage startups is a plus.Compensation Range$220,000 -$280,000 USDPlease find our CA applicant privacy notice here.Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing interview-help@harvey.ai.

false

About the TeamThe Technical Success team is responsible for ensuring the safe and effective deployment of ChatGPT and OpenAI API applications for developers and enterprises. We act as a trusted advisor and thought leader for our customers, ensuring developers and enterprises maximize value from our models and products. As a Solutions Engineer in the MidMarket/Enterprise segment, you’ll help the largest companies transform their business through solutions such as customer service, automated content generation, and novel applications that make use of our newest, most exciting models. About the RoleWe are seeking a solutions engineer to partner with our customers and ensure they achieve tangible business value from our models through ChatGPT and the OpenAI API. You will partner with senior business stakeholders to understand their pre-sales needs, guide their AI strategy, and identify the highest value use cases and applications. You will work with business and technical teams to demonstrate the value of our solutions and recommend architectural patterns to kickstart their implementation and development. You will work closely with MidMarket/Enterprise Sales, Security, and Product teams.This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.In this role, you will:Deliver an exceptional pre-sales customer experience for MidMarket/Enterprise prospects and customers by providing technical expertise, outlining the value proposition, and answering product, API, and LLM-related questions.Demonstrate how leveraging OpenAI APIs and ChatGPT can meet customers’ business needs and deliver substantial business value. This includes building and presenting demos, scoping use cases, recommending architecture patterns, and providing in-depth technical advisory.Create and maintain documentation, guides, and FAQs related to common questions and requirements discovered during the pre-sales process.Develop and nurture strong customer relationships during the evaluation, validation, and purchasing process.Foster customer advocacy and represent the voice of the customer with internal teams by gathering and relaying customer feedback, identifying themes across customers, and incorporating them into product planning.Serve as the first line of defense for security and compliance questions, explaining standardized collateral, guiding customers toward relevant resources (e.g., trust portal), and escalating complex requirements to the appropriate teams.You’ll thrive in this role if you:Have 3+ years of experience in a technical pre-sales or similar role, managing C-level technical and business relationships with complex global organizations.Demonstrate a thorough understanding of IT security principles and customer requirements for technical B2B SaaS products, with experience providing higher-level security and compliance support.Have foundational training in programming languages like Python or Javascript.Have delivered prototypes of Generative AI/traditional ML solutions and have knowledge of network/cloud architecture.Are an effective presenter and communicator who can translate business and technical topics to all audiences, including senior leaders.Own problems end-to-end and are willing to pick up whatever knowledge you're missing to get the job done.Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed.About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.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.

false

Cruose's mission is to accelerate the abundance of energy and intelligence. We’re crafting the engine that powers a world where people can create ambitiously with AI — without sacrificing scale, speed, or sustainability.Be part of the AI revolution with sustainable technology at Crusoe. Here, you'll drive meaningful innovation, make a tangible impact, and join a team that’s setting the pace for responsible, transformative cloud infrastructure.About This Role:The Crusoe Cloud Software Development team is seeking a passionate and experienced Senior Staff Software Engineer specializing in Hypervisor Virtualization and Virtualization Research. This pivotal role is critical in the design, development, and optimization of our virtualization technologies, specifically tailored for an all-AI cloud infrastructure. A deep understanding of hypervisor internals, CPU and memory virtualization, I/O virtualization, and performance optimization is essential for developing reliable, high-performance, and secure virtualized environments that power our cutting-edge AI products. This is a full-time position.What You’ll Be Working On:Hypervisor Development & Optimization: Design, develop, and optimize core hypervisor components (e.g., KVM, QEMU, or custom solutions) to achieve maximum performance and efficiency for AI workloads. This includes focusing on CPU, memory, and I/O virtualization techniques.Virtualization Research & Innovation: Conduct in-depth research into advanced virtualization technologies, exploring novel approaches for isolating and accelerating AI compute, storage, and networking resources. Identify and prototype new virtualization features and enhancements to improve density, throughput, and latency.Virtual Hardware & Device Emulation: Develop and enhance virtual hardware components and device emulation, ensuring optimal performance and compatibility for specialized AI accelerators (e.g., GPUs, DPUs) within the virtualized environment.Performance Analysis & Tuning: Analyze and enhance the performance of the entire virtualization stack, from the hypervisor to the virtualized guest OS, with a specific focus on optimizing for AI/ML workloads. This includes profiling, bottleneck identification, and implementing low-level optimizations.System-Level Troubleshooting: Diagnose and resolve complex system issues within the virtualization layer. Work closely with hardware and guest OS teams to debug and resolve integration challenges.Code Review and Quality Assurance: Conduct thorough code reviews to ensure the highest level of software quality, reliability, and security within the hypervisor and virtualization components.Cross-Functional Collaboration: Collaborate with other engineering teams, including hardware design, OS development, and AI/ML application teams, to ensure cohesive and integrated product development.Technical Leadership: Provide technical guidance and mentorship to junior engineers, fostering a culture of technical excellence and collaborative problem-solving within the virtualization team.What You’ll Bring to the Team:Hypervisor Expertise: Proven deep knowledge of hypervisor internals (e.g., KVM, QEMU, Xen, or other bare-metal hypervisors), including CPU virtualization (VT-x/AMD-V), memory virtualization (EPT/NPT, MMU), and I/O virtualization (SR-IOV, virtio).Virtualization Concepts: Strong understanding of virtual machine lifecycle, live migration, snapshotting, and fault tolerance mechanisms.Linux Kernel Familiarity: Experience with Linux kernel internals as they pertain to virtualization, including device drivers, memory management, and scheduling within a virtualized context.Hardware Understanding: Familiarity with hardware architectures relevant to virtualization, including CPUs (x86, ARM), GPUs, and Smart NICs/DPUs. Experience with hardware offloads and acceleration for virtualization.Performance Optimization: Demonstrated ability to identify and resolve performance bottlenecks in complex virtualized systems. Experience with profiling tools and techniques.Debugging & Troubleshooting: Strong debugging skills in complex, distributed systems at the hypervisor and kernel levels.Bonus Points:Experience with virtualization specifically for AI/ML workloads, including GPU virtualization or direct pass-through.Familiarity with container runtimes and their interaction with hypervisors.Contributions to open-source virtualization projects.Experience with security hardening of hypervisors and virtual machines.Benefits:Industry competitive payRestricted Stock Units in a fast growing, well-funded technology companyHealth insurance package options that include HDHP and PPO, vision, and dental for you and your dependentsEmployer contributions to HSA accountsPaid Parental LeavePaid life insurance, short-term and long-term disabilityTeladoc401(k) with a 100% match up to 4% of salaryGenerous paid time off and holiday scheduleCell phone reimbursementTuition reimbursementSubscription to the Calm appMetLife LegalCompany paid Commuter FSA benefit of $200 per monthCompensation:Compensation will be paid in the range of $204,000 - $247,000. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant’s education, experience, knowledge, skills, and abilities, as well as internal equity and alignment with market data.Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

false

Cruose's mission is to accelerate the abundance of energy and intelligence. We’re crafting the engine that powers a world where people can create ambitiously with AI — without sacrificing scale, speed, or sustainability.Be part of the AI revolution with sustainable technology at Crusoe. Here, you'll drive meaningful innovation, make a tangible impact, and join a team that’s setting the pace for responsible, transformative cloud infrastructure.About This Role:As a Commissioning Manager at Crusoe.ai, you will be the driving force behind ensuring our data center construction projects are commissioned flawlessly. You will lead the development and execution of comprehensive commissioning plans, ensuring all critical systems perform optimally and meet our stringent reliability standards. Your expertise will be vital in safeguarding the uptime and efficiency of our AI infrastructure, directly contributing to the success of our groundbreaking projects.What You'll Be Working On:Develop and implement detailed commissioning plans for data center construction projects, including mechanical, electrical, and control systems.Manage relationships with third party commissioning agents.Oversee and manage the commissioning process, from pre-functional testing through integrated systems testing and final acceptance.Coordinate with design engineers, construction teams, and vendors to ensure seamless integration and commissioning of all systems.Conduct thorough reviews of design documents, specifications, and submittals to ensure compliance with commissioning requirements.Develop and maintain commissioning schedules, budgets, and resource plans, ensuring projects are completed on time and within budget.Perform detailed functional testing and performance verification of critical systems, documenting results and addressing any deficiencies.Manage and resolve commissioning-related issues and conflicts, proactively identifying and mitigating risks.Ensure all commissioning activities comply with relevant codes, standards, and safety regulations.Generate comprehensive commissioning reports and documentation, providing detailed records of testing and performance.What You’ll Bring to the Team:You have extensive experience in commissioning critical infrastructure, particularly data centers.You possess a deep understanding of mechanical, electrical, and control systems related to data center operations.You have a proven track record of successfully managing complex commissioning projects.You are highly organized and detail-oriented, with exceptional problem-solving and analytical skills.You are an excellent communicator and collaborator, with the ability to work effectively with diverse teams.You have a strong understanding of industry standards and best practices for commissioning.You are proficient in developing and implementing commissioning plans and procedures.You have experience managing and mentoring commissioning teams.You have experience with concurrent maintainability testing.Benefits: (for full time employees only)Industry competitive payRestricted Stock Units in a fast growing, well-funded technology companyHealth insurance package options that include HDHP and PPO, vision, and dental for you and your dependentsEmployer contributions to HSA accountsPaid Parental LeavePaid life insurance, short-term and long-term disabilityTeladoc401(k) with a 100% match up to 4% of salaryGenerous paid time off and holiday scheduleCell phone reimbursementTuition reimbursementSubscription to the Calm appMetLife LegalCompany paid Commuter FSA benefit of $200 per monthCompensation Range: Compensation will be paid in the range of $155,000 - $175,000. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant’s education, experience, knowledge, skills, and abilities, as well as internal equity and alignment with market data.Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

false

About xAI xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.About the Role We are seeking a skilled and innovative Application Security Engineer to join our technology-driven company. In this role, you will be responsible for ensuring the security and integrity of our cloud-native applications and systems throughout the software development lifecycle, with a particular focus on code security, CI/CD pipelines, and emerging AI technologies. Focus Conduct in-depth code reviews and static analysis to identify and mitigate security vulnerabilities in our applications Design and implement secure coding guidelines and best practices for development teams Collaborate closely with development teams to integrate security practices throughout the CI/CD pipeline Perform threat modeling and risk assessments for applications, developing mitigation strategies for potential risks Manage vulnerability tracking and remediation efforts, providing guidance to development teams Support incident response activities related to application security Stay current on emerging security threats and trends in cloud-native technologies and AI, continuously enhancing our security measures Evaluate and secure software supply chains, including producing and maintaining Software Bills of Materials (SBOMs) Address security concerns specific to AI and machine learning models, with a focus on the OWASP LLM Top 10 Ideal Experience Bachelor's degree in Computer Science, Cybersecurity, or a related field 3-5 years of experience in application security, with a strong focus on code security practices Deep understanding of secure coding practices, application security frameworks, and common vulnerabilities (e.g., OWASP Top 10) Proficiency in Python or Rust programming languages and experience with secure coding practices in these languages Experience securing CI/CD pipelines and implementing DevSecOps practices Familiarity with software supply chain security and SBOM generation tools Experience with security testing tools (e.g., Burp Suite, OWASP ZAP) and static/dynamic code analysis Understanding of AI/ML security implications, particularly those outlined in the OWASP LLM Top 10 Excellent communication skills, able to explain complex security issues to both technical and non-technical audiences Preferred Qualifications Experience with cloud platforms (e.g., GCP, AWS, Azure) and their security features Relevant security certifications (e.g., CSSLP, OSWE) Background in data privacy and compliance regulations relevant to cloud-native applications and AI systems Experience with GitOps and infrastructure-as-code security Familiarity with federated learning and privacy-preserving machine learning techniques Bonus Skills Experience in building custom security tooling to enhance and automate security processes Interest in leveraging AI to automate security tasks and improve efficiency Contributions to open-source security projects or tools Experience in securing AI/ML models and data pipelines Annual Salary Range $180,000 - $340,000 USD Benefits Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.xAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

false

About the Team Together AI is building the Inference Platform that brings the most advanced generative AI models to the world. Our platform powers multi-tenant serverless workloads and dedicated endpoints, enabling developers, enterprises, and researchers to harness the latest LLMs, multimodal models, image, audio, video, and speech models at scale. If you get a thrill from optimizing latency down to the last millisecond, this is your playground. You’ll work hands-on with tens of thousands of GPUs (H100s, H200s, GB200s, and beyond), figuring out how to fully utilize every FLOP and every gigabyte of memory. You’ll collaborate directly with research teams to bring frontier models into production, making breakthroughs usable in the real world. Our team also works closely with the open source community, contributing to and leveraging projects like SGLang, vLLM, and NVIDIA Dynamo to push the boundaries of inference performance and efficiency. Some of what you’ll work on Build and optimize global and local request routing, ensuring low-latency load balancing across data centers and model engine pods. Develop auto-scaling systems to dynamically allocate resources and meet strict SLOs across dozens of data centers. Design systems for multi-tenant traffic shaping, tuning both resource allocation and request handling — including smart rate limiting and regulation — to ensure fairness and consistent experience across all users. Engineer trade-offs between latency and throughput to serve diverse workloads efficiently. Optimize prefix caching to reduce model compute and speed up responses. Collaborate with ML researchers to bring new model architectures into production at scale. Continuously profile and analyze system-level performance to identify bottlenecks and implement optimizations. What We’re Looking For 5+ years of demonstrated experience building large-scale, fault-tolerant, distributed systems and API microservices. Strong background in designing, analyzing, and improving efficiency, scalability, and stability of complex systems. Excellent understanding of low-level OS concepts: multi-threading, memory management, networking, and storage performance. Expert-level programming in one or more of: Rust, Go, Python, or TypeScript. Knowledge of modern LLMs and generative models and how they are served in production is a plus. Experience working with the open source ecosystem around inference is highly valuable; familiarity with SGLang, vLLM, or NVIDIA Dynamo will be especially handy. Experience with Kubernetes or container orchestration is a strong plus. Familiarity with GPU software stacks (CUDA, Triton, NCCL) and HPC technologies (InfiniBand, NVLink, MPI) is a plus. Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or related field, or equivalent practical experience. Why Join Us? Shape the core inference backbone that powers Together AI’s frontier models. Solve performance-critical challenges in global request routing, load balancing, and large-scale resource allocation. Work with state-of-the-art accelerators (H100s, H200s, GB200s) at global scale. Partner with world-class researchers to bring new model architectures into production. Collaborate with and contribute to the open source community, shaping the tools that advance the industry. A culture of deep technical ownership and high impact — where your work makes models faster, cheaper, and more accessible. Competitive compensation, equity, and benefits. 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. Compensation We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $160,000 - $250,000 + 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  

true

Ryz Labs is seeking a visionary and dynamic Chief Executive Officer (CEO) to take the helm of a groundbreaking AI-driven construction application. This is a unique opportunity to lead and innovate at the intersection of artificial intelligence and the construction industry, redefining how job sites operate with cutting-edge AI solutions. If you're passionate about transforming traditional industries through technology, we want you on our team. Key Responsibilities: - Strategic Leadership: Develop and implement a visionary strategy that integrates AI technology to revolutionize job site operations, increasing efficiency and productivity while reducing costs and risks.- AI Business Development: Identify and nurture new business opportunities, partnerships, and markets within the construction industry, leveraging AI to expand and enhance the project's impact and reach.- Operational Excellence: Ensure smooth and efficient daily operations, utilizing AI to streamline processes, optimize resource management, and improve overall performance on job sites.- Financial Leadership: Oversee the financial strategy and health of the project, managing budgets, forecasting, and financial reporting to ensure long-term sustainability and profitability.- Team Leadership: Build and lead a top-tier team of professionals committed to innovation at the intersection of AI and construction, fostering a collaborative and forward-thinking culture.- Stakeholder Engagement: Act as the chief advocate and spokesperson, maintaining strong relationships with stakeholders, including investors, partners, clients, and industry leaders.- AI Innovation: Keep abreast of the latest AI trends and advancements, ensuring our solutions remain cutting-edge and continue to drive transformation within the construction industry.- Compliance and Governance: Ensure all project operations adhere to relevant legal, regulatory, and ethical standards. Qualifications: - Proven experience as a CEO or in a senior leadership role within the AI, technology, or construction sectors.- Strong understanding of AI technologies and their potential applications in construction and job site management.- Demonstrated ability to develop and execute innovative strategies that drive business growth and industry transformation.- Excellent financial acumen and experience managing complex budgets and financial strategies.- Exceptional communication, interpersonal, and leadership skills, capable of inspiring and motivating a team dedicated to technological advancement and innovation.- Strong analytical and problem-solving abilities, particularly in applying AI solutions to real-world challenges.- Bachelor's degree in Business Administration, Technology, Engineering, or a related field; MBA or advanced degree preferred. 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 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 most efficiently. - 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.

false

This role focuses on enabling custom models and dedicated inference on Together. We are responsible for optimizing autoscaling, minimizing cold starts, achieving the best end-to-end model performance, and providing a best-in-class developer experience with great tooling. Required Qualifications 5+ years of demonstrated experience in building large scale, fault tolerant, distributed systems and API microservices Experience running serverless inference platforms, doing model bring-up on short notice, being on call, or general cloud provider is a very big plus Good taste and ability to thoughtfully discuss how what you’ve built has failed over time Experience designing, analyzing and improving efficiency, scalability, and stability of various system resources Excellent understanding of low level operating systems concepts including concurrency, networking and storage, performance and scale Expert-level programmer in one or more of Golang, Rust, Python, C++, or Haskell Proficiency in writing and maintaining Infrastructure as Code (IaC) using tools like Terraform Experience with Kubernetes or other container orchestration systems Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related technical field, or equivalent practical experience Writing-heavy roles or companies are a plus Key Responsibilities New hires may work on multi-cluster orchestration, portfolio optimization, predictive autoscaling, control panes, model bring-up, light model optimization, APIs for managing deployments, inference worker SDKs, and CLI tools. Analyze and improve the robustness and scalability of existing distributed systems, APIs, databases, and infrastructure Partner with product teams to understand functional requirements and deliver solutions that meet business needs Write clear, well-tested, and maintainable software and IaC for both new and existing systems Conduct design and code reviews, create developer documentation, and develop testing strategies for robustness and fault tolerance 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. Compensation We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $160,000 - $250,000 + 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