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About Augment Code The best software comes from Augmenting developers, not replacing them. We’re bringing joy back to software engineering and keeping developers in flow by building the best Developer AI, with deep contextual awareness of a company’s codebase. About the role As the Frontend Tech Lead at Augment Code, you'll help lead the design and implementation of user-facing experiences across our suite of developer tools—beginning with IDE integrations. You’ll drive critical architectural and technical decisions, guide a small team of engineers, and work in close partnership with design, AI research, and backend systems teams to shape the future of Augment’s AI-powered developer experience. What you'll do: Help lead the frontend architecture and implementation of Augment's IDE extensions and developer tools, from design through deployment. Collaborate cross-functionally with designers, AI researchers, and backend engineers to build deeply integrated and performant user interfaces. Drive UI/UX decisions based on developer workflows and feedback, ensuring our tools feel cohesive and intuitive. Collaborate with a team of AI Researchers and Systems Engineers to craft the technical direction of the Augment system Mentor engineers on frontend and integration work, and help scale the team’s technical capabilities. Help shape product direction, contributing to prioritization and planning of new features and user workflows. What we're looking for: 7+ years of experience in frontend software development, with at least 1–2 years in a technical leadership or staff+ role Expertise in modern frontend frameworks and languages (e.g., TypeScript, React, Svelte, Kotlin, Java, or similar) Experience building and shipping IDE plugins, devtools, or complex user-facing systems Strong product sense and ability to translate user needs into elegant, performant interfaces Track record of cross-functional collaboration across design, product, and backend Comfort working in fast-moving, ambiguous environments—and helping others do the same 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$225,000—$300,000 USD

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Perplexity is an AI-powered answer engine founded in December 2022 and growing rapidly as one of the world’s leading AI platforms. Perplexity has raised over $1B in venture investment from some of the world’s most visionary and successful leaders, including Elad Gil, Daniel Gross, Jeff Bezos, Accel, IVP, NEA, NVIDIA, Samsung, and many more. Our objective is to build accurate, trustworthy AI that powers decision-making for people and assistive AI wherever decisions are being made. Throughout human history, change and innovation have always been driven by curious people. Today, curious people use Perplexity to answer more than 780 million queries every month–a number that’s growing rapidly for one simple reason: everyone can be curious. Perplexity is seeking experienced Applied AI&ML Engineers to help build next generation of personalization experience. In this role, you'll focus on improving user happiness on Perplexity by making the content highly relevant, personal and inspiring. Responsibilities Architect and build the next generation of personalization platform and models which serves as the foundation of highly personalized Perplexity user journey Build effective data and models for LLM content and convert them into personalized ML signals which drives customized recommendation Work across stack to deliver various types of models (LLM to DNN) to end users in a scalable and performant way\ Partner with product managers and partner team engineers to ensure fast and high quality deliverable to end users Qualifications Strong programming skills with the ability to work across the stack in a typical recommendation system or LLM stack Experience in training DNN and Transformer architecture models Experience in working with other LLM APIs to complete tasks like fine tuning, prompt mining or prototyping new ideas Understands how to make tradeoffs in using different models Self-motivated with a willingness to take ownership of tasks A passion for shipping quality products 4+ years of industry experience The cash compensation range for this role is $200,000 - $280,000. Final offer amounts are determined by multiple factors, including, experience and expertise, and may vary from the amounts listed above.   Equity: In addition to the base salary, equity may be part of the total compensation package. Benefits: Comprehensive health, dental, and vision insurance for you and your dependents. Includes a 401(k) plan.

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About the TeamOur infrastructure team helps deliver OpenAI’s most capable models and products to the world by scaling infrastructure and turning demand into useful FLOPS. We collaborate across research, engineering, design, and business to turn cutting-edge AI advancements into impactful, real-world applications. Our team ensures the right compute is available—at the right time and place—to support some of the world’s most demanding workloads. We empower all of OpenAI’s products and research by scaling the infrastructure behind them. Our work makes it possible to launch new models and products reliably and at scale.About the RoleAs a Data Scientist on the Infra team, you will play a key role in shaping how we scale the infrastructure that powers OpenAI’s products and research. This is critical as we operate one of the largest and most advanced compute fleets in the world, supporting millions of users and businesses globally. We focus on aligning infrastructure measurement, planning, scaling, allocation, and efficiency to drive measurable impact across the company.You should expect to guide the definition of foundational datasets for infrastructure resources, develop metrics that inform key decisions, build forecasting and optimization models, and establish source of truth dashboards and analyses that enable teams to understand and improve infra usage. Most importantly, you should expect to be a core partner to engineering, research, and product teams in shaping the infrastructure that powers everything OpenAI builds.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:Build and maintain foundational datasets and metrics that reflect infrastructure usage, efficiency, and scaling.Develop forecasting and optimization models to support infra planning and resource allocation.Partner with engineering, research, and product teams to shape infrastructure strategy through data.Drive clarity with source-of-truth dashboards and analyses that guide infra decisions across OpenAI.You might thrive in this role if you have:5+ years of experience in a quantitative role navigating ambiguous environments, ideally in infrastructure, systems, or platform domains at a high-growth company or research orgExperience defining and operationalizing metrics that reflect system performance, resource usage, or efficiency from the ground upA strong foundation in SQL and Python, and a track record of building models and analyses that drive technical and strategic decisionsExcellent communication skills and the ability to partner effectively with engineers, researchers, and product stakeholdersA strategic mindset that goes beyond statistical testing to surface actionable insights and long-term tradeoffsYou could be an especially great fit if you have:Proven track record of operating as a data partner in large scale backend systemsComfortable navigating fast-paced execution while also anchoring decisions in long-term impactStrong programming background, with ability to run simulations and prototype variantsExperience in NLP, large language models, or generative AIAbout 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.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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Perplexity is an AI-powered answer engine founded in December 2022 and growing rapidly as one of the world’s leading AI platforms. Perplexity has raised over $1B in venture investment from some of the world’s most visionary and successful leaders, including Elad Gil, Daniel Gross, Jeff Bezos, Accel, IVP, NEA, NVIDIA, Samsung, and many more. Our objective is to build accurate, trustworthy AI that powers decision-making for people and assistive AI wherever decisions are being made. Throughout human history, change and innovation have always been driven by curious people. Today, curious people use Perplexity to answer more than 780 million queries every month–a number that’s growing rapidly for one simple reason: everyone can be curious. Perplexity is seeking a highly motivated and skilled Enterprise Growth Lead to join our small but mighty Enterprise team. In this role, you will be responsible for driving new business growth and fostering strong relationships with potential clients. This role is ideal for proactive sales professionals who thrive at the intersection of technology and business, and who want to shape the future of enterprise AI. Responsibilities Drive new business by prospecting, pitching, and closing Perplexity Enterprise Pro solutions with large organizations Diligently research prospects, develop account strategies, and execute outreach campaigns tailored to company and industry needs Conduct high-impact product demonstrations and respond to RFPs and technical inquiries Lead client engagement through the entire sales cycle—from initial presentation, technical evaluation, negotiation, to closing and onboarding Build and nurture senior-level relationships across enterprise clients, championing Perplexity’s value proposition and customer outcomes Collaborate closely with Product, Marketing, and Customer Success to ensure customer satisfaction and solution fit Maintain up-to-date knowledge of Perplexity’s platform, industry trends, and competitor landscape Meet or exceed individual and team revenue targets on a monthly and quarterly basis Maintain accurate records of pipeline and account activity using CRM tools Qualifications 5+ years of full-cycle SaaS sales experience, ideally with enterprise-level clients Proven record of meeting or exceeding annual revenue targets in a high-growth environment Skilled at complex sales cycles, tailoring messaging to different buyer personas and decision makers Exceptional written and verbal communication; comfortable presenting to C-suite executives Adept at identifying client pain points and mapping solutions that drive business value Ability to collaborate effectively with both cross-functional teams and technical stakeholders Experience with CRM systems (e.g. Salesforce) Bachelor’s degree or equivalent experience The cash compensation for this role is $400,000 OTE (50/50 base variable) based on experience level    Equity: In addition to the base salary, equity may be part of the total compensation package. Benefits: Comprehensive health, dental, and vision insurance for you and your dependents. Includes a 401(k) plan.  

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About UsSahara AI is a decentralized AI blockchain platform that prioritizes sovereignty and provenance of AI, ensuring security, equity, and accessibility for all users. Backed by top investors in AI and crypto, including Binance Labs, Pantera Capital, Polychain Capital, Sequoia Capital, Samsung, Matrix Partners, and many more, Sahara AI continues to push the boundaries of decentralized AI. Today, Sahara AI is trusted by 35+ leading tech innovators and research institutions, such as Microsoft, Amazon, MIT, Motherson Group, and Snap. Learn more at saharalabs.ai.Our VisionTo create a future where AI is open, transparent, and accessible to all through democratizing access to AI resources and ensuring sovereignty of AI assets.Our ValuesImpact First, No ExcusesThink Big, Act Fast, Every Day is Day 1Speak Up, Build BetterIntegrity Always, Zero CompromiseOwn it, Raise the BarResilience Wins the RaceRole ResponsibilitiesLead the launch of the global Ambassador Program and manage the day to day operationsWork with Community Lead to create and implement iterative scaling strategy aligned with business objectives and goalsRecruit, onboard, develop, and retain a diverse and impactful group of ambassadors to expand audiences, awareness, community engagement and build global cultureWork with Marketing and Ecosystem teams to design and execute impactful campaigns and programs that align with business objectives and goalsDevelop and hone successful incentive plans, management systems and strategies for ambassadorsManage and track deliverables, performance/KPIs, and ROI using data centric tools and systems to drive meaningful insightsCollaborate with Marketing to shape and promote content, ensure seamless brand and product storytelling, and create content repositories and resourcesRepresent the organization at in-person and virtual eventsBasic Qualifications3+ years professional tech community experience, and 1+ years managing ambassador programsBackground in Web3 and/or GamingExcellent people management and networking skills; familiar with how to recruit and manage creator/influencer typesHighly organized and data driven, with exceptional project and program management abilitiesProfessionally fluent with a variety of social platforms and community toolsPreferred QualificationsIdeal candidate has PLG experienceWhat We Offer🤖 | Shape the future of AI and Blockchain with a global team of industry experts⚙️ | Work closely with pioneering AI companies and startups💰 | Competitive compensation🏥 | Medical, Dental, and Vision benefits and vacation time💻 | Opportunity for career growth and high impact

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About the TeamThe Privacy Engineering Team at OpenAI is committed to integrating privacy as a foundational element in OpenAI's mission of advancing Artificial General Intelligence (AGI). Our focus is on all OpenAI products and systems handling user data, striving to uphold the highest standards of data privacy and security.We build essential production services, develop novel privacy-preserving techniques, and equip cross-functional engineering and research partners with the necessary tools to ensure responsible data use. Our approach to prioritizing responsible data use is integral to OpenAI's mission of safely introducing AGI that offers widespread benefits.About the RoleAs a part of the Privacy Engineering Team, you will work on the frontlines of safeguarding user data while ensuring the usability and efficiency of our AI systems. You will help us understand and implement the latest research in privacy-enhancing technologies such as differential privacy, federated learning, and data memorization. Moreover, you will focus on investigating the interaction between privacy and machine learning, developing innovative techniques to improve data anonymization, and preventing model inversion and membership inference attacks.This position is located in San Francisco. Relocation assistance is available.In this role, you will:Design and prototype privacy-preserving machine-learning algorithms (e.g., differential privacy, secure aggregation, federated learning) that can be deployed at OpenAI scale.Measure and strengthen model robustness against privacy attacks such as membership inference, model inversion, and data memorization leaks—balancing utility with provable guarantees.Develop internal libraries, evaluation suites, and documentation that make cutting-edge privacy techniques accessible to engineering and research teams.Lead deep-dive investigations into the privacy–performance trade-offs of large models, publishing insights that inform model-training and product-safety decisions.Define and codify privacy standards, threat models, and audit procedures that guide the entire ML lifecycle—from dataset curation to post-deployment monitoring.Collaborate across Security, Policy, Product, and Legal to translate evolving regulatory requirements into practical technical safeguards and tooling.You might thrive in this role if you:Have hands-on research or production experience with PETs.Are fluent in modern deep-learning stacks (PyTorch/JAX) and comfortable turning cutting-edge papers into reliable, well-tested code.Enjoy stress-testing models—probing them for private data leakage—and can explain complex attack vectors to non-experts with clarity.Have a track record of publishing (or implementing) novel privacy or security work and relish bridging the gap between academia and real-world systems.Thrive in fast-moving, cross-disciplinary environments where you alternate between open-ended research and shipping production features under tight deadlines.Communicate crisply, document rigorously, and care deeply about building AI systems that respect user privacy while pushing the frontiers of capability.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.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 Augment Code The best software comes from Augmenting developers, not replacing them. We’re bringing joy back to software engineering and keeping developers in flow by building the best Developer AI, with deep contextual awareness of a company’s codebase. About the role We're looking for a Senior Director of Product Engineering to lead our Product Engineering, Design, and Research functions — the teams closest to our users and most responsible for shaping the future of developer experience. This is a critical leadership role driving end-to-end user experiences across our IDE agents, Slackbot, NextEdit, Flow Mode, and other user-facing surfaces. You’ll oversee a high-impact org that leads 0→1 product innovation, moves quickly to test ideas, and is constantly searching for product-market fit across new workflows. The ideal candidate is deeply passionate about the AI for code space, excited to reimagine how software is built, and energized by working hands-on with AI tools to push the boundaries of what’s possible. What You’ll Bring Engineering Management Experience Experience managing manager-of-managers, with multiple product engineering teams under them. Proven ability to attract, coach, and retain product-minded ICs and tech leads. Skilled at navigating uncertainty and helping teams turn ambiguous ideas into real, high-quality features. Deep experience structuring teams and portfolios around learning loops and high-upside product bets. Technical Track Record Led engineering orgs through multiple 0→1 product cycles, ideally in devtools, productivity tools, or AI/ML-powered products. Familiar with frontend/backend architecture and how product, design, and infrastructure interconnect at early stages. Known for strong product judgment — understands when to double down and when to pivot. Comfortable diving into quality, latency, UX polish, and product instrumentation to enable rapid iteration and learning. Leadership Skilled at identifying weak signals of PMF and turning them into focused iteration. Balances intention with urgency — knows when to move fast and when to slow down and refine. Operates effectively in high-change, experimental environments where direction is shaped through exploration. A strong cross-functional partner to PMs, designers, researchers, GTM, and founders, aligning the org around the highest-leverage opportunities. 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$325,000—$400,000 USD

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About Augment Code The best software comes from Augmenting developers, not replacing them. We’re bringing joy back to software engineering and keeping developers in flow by building the best Developer AI, with deep contextual awareness of a company’s codebase. About the role We’re looking for a Director of Platform Engineering to lead our most foundational infrastructure teams — the technical backbone that powers everything we build. This is a critical leadership role for someone who can guide a growing team through high complexity, scale, and change — and who thrives at the intersection of platform depth and business impact. What You’ll Bring Engineering Management Experience Experience managing manager-of-managers. Proven ability to inspire, hire, coach, and retain senior engineering talent. Skilled at scaling teams during periods of rapid growth and ambiguity. Technical Track Record Deep experience in cloud infrastructure at scale Expertise in modern infrastructure architecture — microservices, event-driven systems, container orchestration, and observability best practices. Familiarity with GCP is a plus, but not required. Clear point of view on on-call processes, escalation hygiene, and balancing reliability with developer velocity. Leadership Operates well in ambiguous, fast-changing environments Strong instincts around balancing long-term platform investments with short-term product demands. Partners effectively with product, research, security, and GTM to align infrastructure priorities with business goals. Known for clear thinking, strong execution, and building alignment through trust and communication. 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$325,000—$400,000 USD

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Your New Role and TeamSanctuary AI, a world leader in building dexterity-driven Physical AI for general-purpose robots, is looking to hire an experienced and driven Application Engineer with deep domain expertise in traditional manufacturing automation. This position is part of our Engineering team and plays a key role in helping us bridge the gap between legacy automation systems and the future of Physical AI. Reporting to the Head of Product, you’ll apply your 15+ years of experience in factory automation to help apply best practices in task automation, to Sanctuary technology integration, and production-scale reliability. As one of our Application Engineers, you’ll work hands-on with our AI team, robotics engineers, and external partners to assess and scope automation tasks, identify opportunity areas, and advise on deployment considerations that align with real-world customer needs and constraints. Success CriteriaIdentify and map the types of tasks that are already well-served by traditional automation systems — and where gaps remain.Guide our team on best practices for automating physical work in environments like manufacturing, logistics, and packaging.Help us benchmark and validate the performance of our robotic systems against industrial-grade alternatives.Work with the engineering team to ensure task replicas in the lab accurately capture the essence and constraints of real-world customer tasks.Identify, and lead the development of, hybrid customer solutions that integrate both Sanctuary's AI and traditional automation tools (e.g., PLCs, sensors, and robotic arms) to maximize real-world effectiveness. Your ExperienceQualificationsBachelor’s Degree in Mechatronics, Electrical/Mechanical Engineering, or equivalent practical experience15+ years in application engineering, factory automation, or systems integrationDeep working knowledge of automation systems including PLCs, HMIs, sensors, and actuatorsStrong background in task design and throughput optimization15+ years designing or integrating factory automation systems using PLCs, vision systems, and robotic arms.Experience working with integrators, OEMs, or directly on plant floors. SkillsEffective communicator with both technical and non-technical audiencesSkilled in root-cause analysis and system-level debuggingFamiliar with both low-level control and high-level system orchestrationComfortable working cross-functionally in fast-paced environments TraitsAbove all else, a consistently positive attitude and a willingness to do whatever it takes to create robust solutions to mission objectives.Successful candidates will be a proponent of personal responsibility for themselves and their teammates.Empathetic listener with conflict resolution capabilities.Consistent bias for action, communication, and interpersonal savvy.Self-motivated and able to solve problems independently.Mission driven and passionate about bringing human-like intelligence to machines.

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About the Team:The Database Systems team specializes in high-performance distributed databases. Our team built Rockset, the real-time search, analytics, and vector database that powers all vector search and retrieval augmented generation (RAG) at OpenAI. In addition to retrieval, as an online database, Rockset powers core functionality across all of OpenAI's product lines and many critical internal use cases. About the Role:We are looking for engineers passionate about distributed systems, close-to-the-metal performance optimization (our core engine is written in C++), and building scalable database infrastructure from the ground up. As an engineer on the Database Systems team, you'll contribute to the core database engine, driving improvements across ingestion, query execution, indexing, and storage. You'll partner with teams across OpenAI to unlock new product capabilities and help scale online database reliability and throughput as usage grows by orders of magnitude.In this role you will:Design, build, and operate high-performance distributed systemsIdentify and resolve performance bottlenecks to scale infrastructure to the next order of magnitudeDefine long-term technical direction and guide system evolutionCollaborate with product, engineering, and research teams to deliver scalable and reliable infrastructureDig deep into complex production issues across the stackContribute to incident response, postmortems, and best practices for system reliabilityYou might thrive in this role if you:Have significant experience building, scaling, and optimizing distributed systems at scaleAre curious about database internals, storage engines, or low-latency query systemsEnjoy debugging challenging performance issues in complex, high-throughput systemsThink rigorously about scalability, correctness, and reliabilityThrive in fast-paced environments with high autonomy and impactQualifications:4+ years of relevant industry experience, with 2+ years leading large scale, complex projects or teams as an engineer or tech leadExperience with distributed systems at scale, with a strong focus on performance, reliability, and scalabilityStrong communication skills and ability to collaborate across highly technical and cross-functional teamsProficiency in a systems programming language such as C++ (our core engine is written in C++) is strongly preferredDomain knowledge in areas such as databases, data systems, storage engines, indexing, and query processing is a plus but not requiredAbout 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.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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Your New Role and TeamSanctuary AI, a world leader in building AI-based control systems for humanoid robots, is looking to hire a Director, Product Development & Management to join our team. Reporting to the Chief Product & Technology Officer, this pivotal role will oversee the product management group, driving the development and execution of our product strategy. This role is ideal for a visionary leader who combines deep industry knowledge with a passion for innovative solutions.  Our Success CriteriaWork with leadership to develop and implement a comprehensive product strategy and roadmapLead, mentor, and develop a team of product and program managers, fostering a high-performance culture that delivers on ambitious goalsAlign product development initiatives with business goals and market needsThrive in ambiguity and bring structure to complexity. You’ve built processes, not just followed themSupport the product development team, ensuring timely delivery of high-quality productsCommunicate product vision, strategy, and progress to senior management and stakeholdersOversee the end-to-end product development lifecycle, from ideation to launchCollaborate with engineers, designers, and other technical teams to develop product specifications and ensure feasibilityUnderstand and contribute to the technical aspects of product developmentEnsure the product meets technical specifications and performance standardsDefine and track key performance indicators to measure successGather and analyze data to make informed decisions and drive continuous improvementManage product lifecycle, including updates, improvements, and end-of-life strategiesCollaborate with cross-functional teams (including engineering, marketing, sales, and customer support) to guide products from conception to launch Your ExperienceQualificationsDegree in Computer Science, Artificial Intelligence, Machine Learning, Robotics, or a related field, OR equivalent experience in Technology Development and Productization  A minimum of 7+ years of experience leading cross-functional teams in the development of intelligent hardware systems such as robotics, automated machinery, or sensor-based platforms, with supporting experience in AI or real-time control softwareUnderstanding of machine learning, artificial intelligence, or robotics and their applications in a variety of industriesStrong leadership skills, with the ability to inspire and guide a team towards achieving strategic objectives; lead through dotted line relationships and cross functional collaborationExcellent communication and negotiation skills, with a knack for building and maintaining strong professional relationshipsStrategic thinker with an analytical mind, capable of making data-driven decisions and identifying new opportunities for innovation and collaboration SkillsIn-depth understanding of product development processes and technologiesAbility to guide and support the technical teamThe ability to articulate complex technical concepts and strategic visions clearly and persuasively to a diverse range of stakeholders, from technical experts to non-technical partnersInnovative mindset with an applied research orientationThe capacity to lead, motivate, and unite teams and partners around shared goals TraitsA consistently positive attitude and a willingness to do whatever it takes to create robust solutions to mission objectivesEmpathetic listener with conflict resolution capabilitiesConsistent bias for action, communication, and interpersonal savvySelf-motivated and able to solve problems independentlyMission driven and passionate about bringing human-like intelligence to machines

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Who We Are  PathAI is on a mission to improve patient outcomes with AI-powered pathology. We are transforming traditional pathology methods into powerful, new technologies. These innovations in pathology can help accelerate drug development, improve confidence in the accuracy of diagnosis, and get life-saving therapies to patients more quickly. At PathAI, you'll work with a diverse and talented team of people, who are dedicated to solving complex problems and making a huge impact. What You’ll Do:  Work with backend and frontend (i.e. Vue.js) technologies Drive architecture and implementation decisions across the full technology stack Collaborate with ML, design, product, frontend, and infrastructure teams Uphold high-quality standards via testing, code reviews, and CI/CD Mentor mid-level engineers across backend and frontend domains Ensure compliance when contributing to software regulated as medical devices What You'll Need 5+ years of software engineering experience Strong foundational knowledge in data structures, algorithms, and system design Experience deploying full-stack features and API integration Bachelor’s in CS or equivalent experience Curiosity and adaptability within complex technical environments   We Want to Hear From You At PathAI, we are looking for individuals who are team players, are willing to do the work no matter how big or small it may be, and who are passionate about everything they do. If this sounds like you, even if you may not match the job description to a tee, we encourage you to apply. You could be exactly what we're looking for.  PathAI is an equal opportunity employer, dedicated to creating a workplace that is free of harassment and discrimination. We base our employment decisions on business needs, job requirements, and qualifications — that's all. We do not discriminate based on race, gender, religion, health, personal beliefs, age, family or parental status, or any other status. We don't tolerate any kind of discrimination or bias, and we are looking for teammates who feel the same way.  #LI-Remote

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Who We Are PathAI is on a mission to improve patient outcomes with AI-powered pathology. We are transforming traditional pathology methods into powerful, new technologies. These innovations in pathology can help accelerate drug development, improve confidence in the accuracy of diagnosis, and get life-saving therapies to patients more quickly. At PathAI, you'll work with a diverse and talented team of people, who are dedicated to solving complex problems and making a huge impact. What You’ll Do  Solve complex backend challenges using high-quality code Design, build, maintain, and evolve scalable backend services and APIs (e.g., FastAPI, Django REST) Define and own the architecture of large components and platforms Collaborate closely with ML, product, frontend, and infrastructure teams to deliver end-to-end systems Maintain excellence in testing, CI/CD, and code reviews Mentor senior and mid-level engineers, promoting best practices Contribute to software regulated as medical devices, ensuring quality and compliance What You’ll Need Bachelor’s degree in CS or equivalent experience 5+ years in backend development (full lifecycle delivery) Strong experience with FastAPI and/or Django REST framework Solid grasp of data structures, algorithms, and system design Experience with cloud-native systems (AWS preferred), containerization, and orchestration (e.g., Docker, Kubernetes) Proficiency with CI/CD platforms (e.g., GitLab CI, Docker pipelines) We Want to Hear From You At PathAI, we are looking for individuals who are team players, are willing to do the work no matter how big or small it may be, and who are passionate about everything they do. If this sounds like you, even if you may not match the job description to a tee, we encourage you to apply. You could be exactly what we're looking for.  PathAI is an equal opportunity employer, dedicated to creating a workplace that is free of harassment and discrimination. We base our employment decisions on business needs, job requirements, and qualifications — that's all. We do not discriminate based on race, gender, religion, health, personal beliefs, age, family or parental status, or any other status. We don't tolerate any kind of discrimination or bias, and we are looking for teammates who feel the same way.  #LI-Remote

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The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.   Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. Overview The responsibilities of our Platform team include building and maintaining all backend services, including, but not limited to, payments, analytics, subscriptions, new products, text to speech, and external APIs. This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, is passionate about making product decisions, and has experience building great user experiences that delight users. We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount.  Our interview process involves several technical interviews and we aim to complete them within 1 week.  Overview We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us. What You’ll Do Be scrappy to find new sources of audio data and bring it into our ingestion pipeline Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform. Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models. Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products. An Ideal Candidate Should Have BS/MS/PhD in Computer Science or a related field. 5+ years of industry experience in software development. Proficiency with bash/Python scripting in Linux environments Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP) Experience with web crawlers, large-scale data processing workflows is a plus Ability to handle multiple tasks and adapt to changing priorities. Strong communication skills, both written and verbal What we offer A fast-growing environment where you can help shape the company and product. An entrepreneurial-minded team that supports risk, intuition, and hustle. A hands-off management approach so you can focus and do your best work. An opportunity to make a big impact in a transformative industry. Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture. Opportunity to work on a life-changing product that millions of people use. Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more. Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio. What We Offer  A dynamic environment where your contributions shape the company and its products. A team that values innovation, intuition, and drive. Autonomy, fostering focus and creativity. The opportunity to have a significant impact in a revolutionary industry. Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture. The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more. An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain. Think you’re a good fit for this job?  Tell us more about yourself and why you're interested in the role when you apply. And don’t forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit?  Refer them!  Compensation: The US base salary range for this full-time position is $140,000-$200,000 + bonus + equity depending on experience Speechify is committed to a diverse and inclusive workplace.  Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

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Mission The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its App of the Day. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, passionate about making product decisions, and has experience building great user experiences that delight users. We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount.  Our interview process involves several technical interviews and we aim to complete them within 1 week.  Overview As Speechify expands, our AI team seeks a Senior Backend Engineer. This role is central to ensuring our infrastructure scales efficiently, optimizing key product flows, and constructing resilient end-to-end systems. If you are passionate about strategizing, enjoy high-paced environments, and are eager to take ownership of product decisions, we’d love to hear from you. What You’ll Do State of the art voice cloning Low latency and cost effective text to speech An Ideal Candidate Should Have Proven experience in backend development: Python Direct experience with GCP and knowledge of AWS, Azure, or other cloud providers. Efficiency in ideation and implementation, prioritizing tasks based on urgency and impact. Experience with Docker and containerized deployments. Proficiency in deploying high availability applications on Kubernetes. Preferred: Experience deploying NLP or TTS models to production. What We Offer A dynamic environment where your contributions shape the company and its products. A team that values innovation, intuition, and drive. Autonomy, fostering focus and creativity. The opportunity to have a significant impact in a revolutionary industry. Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture. The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more. An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain. Think you’re a good fit for this job?  Tell us more about yourself and why you're interested in the role when you apply. And don’t forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit?  Refer them!  Speechify is committed to a diverse and inclusive workplace.  Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

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Perplexity is an AI-powered answer engine founded in December 2022 and growing rapidly as one of the world’s leading AI platforms. Perplexity has raised over $1B in venture investment from some of the world’s most visionary and successful leaders, including Elad Gil, Daniel Gross, Jeff Bezos, Accel, IVP, NEA, NVIDIA, Samsung, and many more. Our objective is to build accurate, trustworthy AI that powers decision-making for people and assistive AI wherever decisions are being made. Throughout human history, change and innovation have always been driven by curious people. Today, curious people use Perplexity to answer more than 780 million queries every month–a number that’s growing rapidly for one simple reason: everyone can be curious. Perplexity is seeking an exceptional AI Research Tech Lead to drive our research strategy and lead the development of our in-house Online LLMs, the Sonar models. In this leadership role, you will set the macro research direction across different modalities, mentor a team of researchers, and take advantage of our rich query/answer dataset to continue scaling our Sonar model performance and deliver the SOTA Online LLM experience to our users. Responsibilities Research Leadership & Strategy Define and execute the macro research direction across multiple modalities, including post-training LLMs for agent trajectories and future mid-training initiatives Lead strategic research planning and roadmap development to advance Sonar model capabilities Drive innovation in supervised and reinforcement learning techniques for query answering Collaborate with leadership to align research priorities with product and business objectives Team Development & Mentorship Coach and mentor a team of AI research scientists and engineers, fostering their technical and professional growth Establish the long-term macro research direction across the team, including our direction across different modalities Lead hiring and onboarding of new research talent Create a collaborative environment that encourages knowledge sharing and innovation Technical Excellence Post-train SOTA LLMs on query answering using cutting-edge supervised and reinforcement learning techniques Own and optimize the full stack data, training, and evaluation pipelines required for LLM post-training Deliver Sonar models that provide SOTA query answering performance Drive research into agent trajectories and multi-modal capabilities Lead the technical roadmap for eventual mid-training investments Cross-Functional Collaboration Work closely with engineering teams to integrate Sonar models into our product Partner with product teams to understand user needs and translate them into research priorities Collaborate with data teams to leverage our unique query/answer dataset effectively Communicate research progress and findings to stakeholders across the organization Qualifications Required Minimum of 5 years of experience working on relevant AI/ML projects with 3**+ years in a technical leadership role** Proven track record of leading and mentoring technical and research teams A Computer Science graduate degree at a premier academic intitution Deep expertise with large-scale LLMs and Deep Learning systems Strong programming skills with versatility across multiple languages and frameworks Demonstrated ability to set technical vision and drive execution Experience with pre-training and post-training techniques (self-supervised learning along with SFT/DPO/GRPO/PPO) Self-starter with exceptional ownership mentality and ability to work in ambiguous environments Passion for solving challenging problems and pushing the boundaries of AI research Nice-to-have PhD in Machine Learning, Computer Science, or related areas Experience with agent-based AI systems and multi-modal model development Background in mid-training or pre-training of large language models Publications in top-tier AI/ML conferences Experience in fast-paced startup environments Track record of translating research into production systems Compensation & Benefits Our cash compensation range for this role is $370,000 - $460,000. Final offer amounts are determined by multiple factors, including experience and expertise, and may vary from the amounts listed above.   Equity: In addition to the base salary, equity may be part of the total compensation package. Benefits: Comprehensive health, dental, and vision insurance for you and your dependents. Includes a 401(k) plan.

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About OumiWhy we exist: Oumi is on a mission to make frontier AI truly open for all. We are founded on the belief that AI will have a transformative impact on humanity, and that developing it collectively, in the open, is the best path forward to ensure that it is done efficiently and safely.What we do: Oumi provides an all-in-one platform to build state-of-the-art AI models, end to end, from data preparation to production deployment, empowering innovators to build cutting-edge models at any scale. Oumi also develops open foundation models in collaboration with academic collaborators and the open community.Our Approach: Oumi is fundamentally an open-source first company, with open-collaboration across the community as a core principle. Our work is:Open Source First: All our platform and core technology is open sourceResearch-driven: We conduct and publish original research in AI, collaborating with our community of academic research labs and collaboratorsCommunity-powered: We believe in the power of open-collaboration and welcome contributions from researchers and developers worldwideRole OverviewThe Research Scientist will be an integral part of Oumi's research team, focusing on advancing the state-of-the-art in large language models (LLMs), vision language models (VLMs), and related technologies. This role involves conducting cutting-edge research, contributing to open-source projects, and collaborating with other researchers and engineers. Researchers at Oumi will work on various aspects of LLM/VLM development including training, evaluation, data curation, and benchmark development.What you’ll do:Model Development: Conduct research on training and evaluating new Large language models (LLMs), Vision Language Models (VLMs), and other AI models. This includes exploring new architectures, training techniques, and optimization methods.Data Curation: Develop methodologies for curating high-quality datasets for training and evaluating LLMs. This may involve data synthesis and other novel techniques.Benchmark Development: Develop evaluation benchmarks to measure the performance of LLMs across various tasks and domains.Research and Experimentation: Design and conduct experiments to validate research hypotheses and improve model performance.Open Source Contribution: Contribute to the Oumi open-source platform, models and projects, and other relevant tools and libraries.Collaboration: Collaborate with other researchers, engineers, and the broader community to advance the field of open-source AI.Publication: Publish research findings in leading conferences and journals.Platform Evaluation: Evaluate existing models and identify areas of improvement.Flexibility: Work with various models, including text and multimodal models, and both open and closed models.Problem Solving: Focus on the research that matters by skipping the plumbing and moving straight to research, building on the work of others and contributing back.What you’ll bring:Education: A Ph.D. or MSc. in computer science, machine learning, artificial intelligence, or a related field is preferred. Candidates with a strong publication record, or equivalent industry experience will be considered.Research Experience: Demonstrated experience in conducting original research in machine learning, with a strong publication record in top-tier conferences or journals.ML Expertise: Deep understanding of machine learning and deep learning concepts, with specific knowledge of large language models (LLMs) and/or vision language models (VLMs).Programming Skills: Strong programming skills in Python and experience using deep learning frameworks (e.g. PyTorch).Open Source: Familiarity with open-source projects and a passion for contributing to the open-source community.Initiative: A self-starter who can work independently and take ownership of initiatives.Values: Share Oumi's values: Beneficial for all, Customer-obsessed, Radical Ownership, Exceptional Teammates, Science-grounded.BenefitsCompetitive salary: $100,000 - $220,000Equity in a high-growth startupComprehensive health, dental and vision insurance21 days PTORegular team offsites and events

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About OumiWhy we exist: Oumi is on a mission to make frontier AI truly open for all. We are founded on the belief that AI will have a transformative impact on humanity, and that developing it collectively, in the open, is the best path forward to ensure that it is done efficiently and safely.What we do: Oumi provides an all-in-one platform to build state-of-the-art AI models, end to end, from data preparation to production deployment, empowering innovators to build cutting-edge models at any scale. Oumi also develops open foundation models in collaboration with academic collaborators and the open community.Our Approach: Oumi is fundamentally an open-source first company, with open-collaboration across the community as a core principle. Our work is:Research-driven: We conduct and publish original research in AI, collaborating with our community of academic research labs and collaboratorsCommunity-powered: We believe in the power of open-collaboration and welcome contributions from researchers and developers worldwideRole OverviewWe're seeking an exceptional Full Stack Engineer with strong frontend expertise to architect and build sophisticated, interactive web interfaces for our AI platform. You'll create responsive, high-performance UIs that handle complex data flows and real-time visualizations, working within a full-stack environment, but with particular emphasis on advanced frontend development.What you'll do:Full-Stack Development: Build robust, high-performance web applications using Python/TypeScript for backend development and TypeScript for frontend components UI Architecture: Design and implement scalable, component-based frontend architectures that support highly interactive, data-rich AI workspaces and dashboardsBackend Integration: Develop and consume REST/GraphQL APIs that support complex frontend requirements while maintaining clean separation of concernsDynamic Visualization: Create advanced, real-time data visualizations that enable users to understand and interact with complex AI models and datasetsWhat you’ll bring:Experience: Proven experience building complex, interactive web applications that handle sophisticated data flows and user interactionsFull-Stack Expertise: Expert-level proficiency with React and TypeScript, including advanced patterns for performance optimization and state managementScale & Performance: Demonstrated ability to build and optimize frontends that maintain responsiveness under heavy data loadsCommunication: Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams. Open Source: Familiarity with open-source projects and a passion for contributing to the open-source community.Values: Share Oumi's values: Beneficial for all, Customer-obsessed, Radical Ownership, Exceptional Teammates, Science-grounded.Bonus points: Contribution to open-source UI libraries, experience with AI/ML visualization tools, Rust for performance-critical componentsD3.js or other data visualization libraries, WebGL, CI/CD for frontend applicationsStrong experience with state management (Zustand/Redux/TanStack Query/NgRx)Experience with Python (FastAPI/Flask/Django), RESTful API design, and understanding of cloud architecture (AWS/GCP/Azure)BenefitsCompetitive salary: €30,000 - €60,000Equity in a high-growth startupRegular team offsites and events

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About OumiWhy we exist: Oumi is on a mission to make frontier AI truly open for all. We are founded on the belief that AI will have a transformative impact on humanity, and that developing it collectively, in the open, is the best path forward to ensure that it is done efficiently and safely.What we do: Oumi provides an all-in-one platform to build state-of-the-art AI models, end to end, from data preparation to production deployment, empowering innovators to build cutting-edge models at any scale. Oumi also develops open foundation models in collaboration with academic collaborators and the open community.Our Approach: Oumi is fundamentally an open-source first company, with open-collaboration across the community as a core principle. Our work is:Open Source First: All our platform and core technology is open sourceResearch-driven: We conduct and publish original research in AI, collaborating with our community of academic research labs and collaboratorsCommunity-powered: We believe in the power of open-collaboration and welcome contributions from researchers and developers worldwideRole OverviewThe ML Engineer will be a crucial part of the team, working to build and maintain the infrastructure that powers Oumi's open AI platform. This role combines platform engineering with machine learning expertise, focusing on creating a reliable and scalable environment for open AI development. As an open-source project and platform, code excellence is key to ensure stability for our thousands of users with access and active contribution to state of the art research on our platform.What you'll do:Training Infrastructure: Design, develop, and maintain the core platform infrastructure for Oumi, ensuring it is robust, scalable, and efficient for AI model development, training and deployment.ML Pipeline Implementation: Implement and optimize machine learning pipelines, including data preparation, model training, evaluation, and deployment.Scalability: Design and implement solutions for scaling the platform to handle large datasets and models, ensuring it can meet the needs of the community.Performance Optimization: Identify and resolve performance bottlenecks in the platform and ML pipelines, ensuring smooth execution and rapid iteration.Automation: Automate infrastructure provisioning, deployment, and monitoring processes to ensure high reliability and efficiency.Collaboration: Work closely with the research and engineering teams to support their development workflows and ensure the platform meets their needs.Open Source Contribution: Contribute to and help guide the development of Oumi's open-source platform and models.What you’ll bring:Experience: Proven experience in platform engineering, DevOps, or related fields, with a strong understanding of infrastructure-as-code and cloud technologies.ML Knowledge: Solid understanding of machine learning concepts and experience with ML workflows, including data preparation, model training, and evaluation.Programming Skills: Proficiency in programming languages such as Python, with experience in software development practices.Cloud Technologies: Experience with cloud platforms such as AWS, Google Cloud, or Azure.Scalability: Experience in designing scalable systems and implementing distributed computing architectures.Open Source: Familiarity with open-source projects and a passion for contributing to the open-source community.Values: Share Oumi's values: Beneficial for all, Customer-obsessed, Radical Ownership, Exceptional Teammates, Science-grounded.BenefitsCompetitive salary: €30,000 - €60,000Equity in a high-growth startupRegular team offsites and events

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About OumiWhy we exist: Oumi is on a mission to make frontier AI truly open for all. We are founded on the belief that AI will have a transformative impact on humanity, and that developing it collectively, in the open, is the best path forward to ensure that it is done efficiently and safely.What we do: Oumi provides an all-in-one platform to build state-of-the-art AI models, end to end, from data preparation to production deployment, empowering innovators to build cutting-edge models at any scale. Oumi also develops open foundation models in collaboration with academic collaborators and the open community.Our Approach: Oumi is fundamentally an open-source first company, with open-collaboration across the community as a core principle. Our work is:Open Source First: All our platform and core technology is open sourceResearch-driven: We conduct and publish original research in AI, collaborating with our community of academic research labs and collaboratorsCommunity-powered: We believe in the power of open-collaboration and welcome contributions from researchers and developers worldwideRole OverviewThe ML Engineer will be a crucial part of the team, working to build and maintain the infrastructure that powers Oumi's open AI platform. This role combines platform engineering with machine learning expertise, focusing on creating a reliable and scalable environment for open AI development. As an open-source project and platform, code excellence is key to ensure stability for our thousands of users with access and active contribution to state of the art research on our platform.What you'll do:Training Infrastructure: Design, develop, and maintain the core platform infrastructure for Oumi, ensuring it is robust, scalable, and efficient for AI model development, training and deployment.ML Pipeline Implementation: Implement and optimize machine learning pipelines, including data preparation, model training, evaluation, and deployment.Scalability: Design and implement solutions for scaling the platform to handle large datasets and models, ensuring it can meet the needs of the community.Performance Optimization: Identify and resolve performance bottlenecks in the platform and ML pipelines, ensuring smooth execution and rapid iteration.Automation: Automate infrastructure provisioning, deployment, and monitoring processes to ensure high reliability and efficiency.Collaboration: Work closely with the research and engineering teams to support their development workflows and ensure the platform meets their needs.Open Source Contribution: Contribute to and help guide the development of Oumi's open-source platform and models.What you’ll bring:Experience: Proven experience in platform engineering, DevOps, or related fields, with a strong understanding of infrastructure-as-code and cloud technologies.ML Knowledge: Solid understanding of machine learning concepts and experience with ML workflows, including data preparation, model training, and evaluation.Programming Skills: Proficiency in programming languages such as Python, with experience in software development practices.Cloud Technologies: Experience with cloud platforms such as AWS, Google Cloud, or Azure.Scalability: Experience in designing scalable systems and implementing distributed computing architectures.Open Source: Familiarity with open-source projects and a passion for contributing to the open-source community.Values: Share Oumi's values: Beneficial for all, Customer-obsessed, Radical Ownership, Exceptional Teammates, Science-grounded.BenefitsCompetitive salary: $100,000 - $220,000Equity in a high-growth startupComprehensive health, dental and vision insurance21 days PTORegular team offsites and events