AI Creative & Design Jobs

false

About the TeamAt OpenAI, we’re building safe and beneficial artificial general intelligence. We deploy our models through ChatGPT, our APIs, and other cutting-edge products. Behind the scenes, making these systems fast, reliable, and cost-efficient requires world-class infrastructure.The Caching Infrastructure team is responsible for building a caching layer that powers many critical use cases at OpenAI. We aim to provide a high-availability, multi-tenant cache platform that scales automatically with workload, minimizes tail latency, and supports a diverse range of use cases.We’re looking for an experienced engineer to help design and scale this critical infrastructure. The ideal candidate has deep experience in distributed caching systems (e.g., Redis, Memcached), networking fundamentals, and Kubernetes-based service orchestration.In This Role, You Will:Design, build, and operate OpenAI’s multi-tenant caching platform used across inference, identity, quota, and product experiences.Define the long-term vision and roadmap for caching as a core infra capability, balancing performance, durability, and cost.Collaborate with other infra teams (e.g., networking, observability, databases) and product teams to ensure our caching platform meets their needs.You Might Thrive In This Role If You:Have 5+ years of experience building and scaling distributed systems, with a strong focus on caching, load balancing, or storage systems.Have deep expertise with Redis, Memcached, or similar solutions, including clustering, durability configurations, client-side connection patterns, and performance tuning.Have production experience with Kubernetes, service meshes (e.g., Envoy), and autoscaling systems.Think rigorously about latency, reliability, throughput, and cost in designing platform capabilities.Thrive in a fast-paced environment and enjoy balancing pragmatic engineering with long-term technical excellence.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.

false

About the TeamThe Core Services team is responsible for building and managing foundational services. It acts as the bridge between core infrastructure (e.g. compute, storage, networking) and product engineering teams, and enables product teams to move fast, build reliably, and scale efficiently.About the RoleAs a software engineer in the core services team, you will design and operate critical backend platforms such as caching systems, workflow orchestration, metadata stores, and file services. You’ll focus on building highly reliable, scalable, and performant systems that serve as the backbone of our products.We’re looking for people who are passionate about building infrastructure that empowers product teams, love working on distributed systems challenges, and enjoy creating well-designed APIs and abstractions that accelerate development.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:Design, build, and maintain shared infrastructure services such as caching layers, workflow orchestration (Temporal), metadata stores, and file storage services.Collaborate with product teams to provide scalable, reliable primitives that abstract the complexities of distributed systems.Improve performance, resilience, and scalability of core services that power customer-facing applications.You might thrive in this role if you:Have experience with distributed systems, caching infrastructure (e.g., Redis, Memcached), metadata storage (e.g., FoundationDB), or workflow orchestration (e.g., Temporal, Cadence).Have experience running containerized services in cloud environments and integrating them into automated build/test/release (CI/CD) workflows.Understand trade-offs in consistency models, replication strategies, and performance optimization in multi-region systems.Excel at communication and collaboration with cross-functional teams, and are obsessed with delivering customer success.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.

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!Why Join Us?At Cohere, we’re not building AI for novelty—we’re solving real, hard problems for enterprise customers. Join us if you’re excited about working at the intersection of frontier AI and practical impact.We are looking for a Machine Learning Manager to lead our East Coast Applied ML team in building and delivering cutting-edge AI solutions tailored for enterprise customers. This is a high-impact leadership role that combines strategic direction, technical oversight, and customer collaboration. You’ll manage a world-class team of ML engineers focused on building scalable, production-grade systems—working across modalities and domains such as reasoning, code, RAG, tools, and agents.The ideal candidate brings deep expertise in AI/ML, a strong track record of building and mentoring high-performing teams, and the ability to turn complex technical capabilities into real business outcomes.Key ResponsibilitiesStrategic LeadershipDefine and drive the long-term vision for the Applied ML team in alignment with Cohere’s product and business goals.Shape the roadmap for custom model development, fine-tuning, and advanced implementations that address nuanced enterprise challenges.Collaborate closely with executive leadership to prioritize high-impact initiatives and strategic customer engagements.Team ManagementLead and grow a high-performing team of ML engineers through hiring, coaching, and mentorship.Foster a culture of ownership, innovation, and continuous learning.Establish and evolve team processes to maximize productivity and execution speed.Product & Technical InnovationPartner with Product to define and deliver novel, scalable ML solutions that differentiate Cohere in the market.Guide the development of reusable frameworks and abstractions that streamline deployment across customer use cases.Oversee performance optimization and evaluation of models in real-world enterprise environments.Customer EngagementAct as a trusted technical advisor to strategic customers—translating needs into actionable plans.Lead delivery efforts from prototyping through to production deployment on customer infrastructure.Ideal Candidate ProfileExperienceBachelor’s degree in Computer Science, Machine Learning, or a related field (Master’s or PhD preferred).8+ years in AI/ML, including several years in technical leadership roles.Proven success leading large ML teams and delivering complex AI solutions at scale.Experience with enterprise deployments, including custom model development and fine-tuning.Technical ExpertiseDeep understanding of LLMs, their training, deployment, and real-world constraints.Hands-on experience with RAG pipelines, agentic systems, and multi-modal applications.Proficiency in ML frameworks such as PyTorch or TensorFlow.Familiarity with modern cloud platforms (AWS, GCP, Azure) and ML infrastructure best practices.Strategic & Business AcumenStrong ability to translate business requirements into scalable ML solutions.Track record of product thinking and technical decision-making aligned with customer needs.Communication & LeadershipExceptional communicator, capable of aligning technical execution with business goals.Experienced mentor who inspires excellence, collaboration, and growth in technical teams.If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you want to work really hard on a glorious mission with teammates that want the same thing, Cohere is the place for you.We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.Full-Time Employees at Cohere enjoy these Perks:🤝 An open and inclusive culture and work environment 🧑‍💻 Work closely with a team on the cutting edge of AI research 🍽 Weekly lunch stipend, in-office lunches & snacks🦷 Full health and dental benefits, including a separate budget to take care of your mental health 🐣 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement🏙 Remote-flexible, offices in Toronto, New York, San Francisco and London and co-working stipend✈️ 6 weeks of vacationNote: This post is co-authored by both Cohere humans and Cohere technology.

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!Why Join Us?At Cohere, we’re not building AI for novelty—we’re solving real, hard problems for enterprise customers. Join us if you’re excited about working at the intersection of frontier AI and practical impact.We are looking for a Machine Learning Manager to lead our West Coast Applied ML team in building and delivering cutting-edge AI solutions tailored for enterprise customers. This is a high-impact leadership role that combines strategic direction, technical oversight, and customer collaboration. You’ll manage a world-class team of ML engineers focused on building scalable, production-grade systems—working across modalities and domains such as reasoning, code, RAG, tools, and agents.The ideal candidate brings deep expertise in AI/ML, a strong track record of building and mentoring high-performing teams, and the ability to turn complex technical capabilities into real business outcomes.Key ResponsibilitiesStrategic LeadershipDefine and drive the long-term vision for the Applied ML team in alignment with Cohere’s product and business goals.Shape the roadmap for custom model development, fine-tuning, and advanced implementations that address nuanced enterprise challenges.Collaborate closely with executive leadership to prioritize high-impact initiatives and strategic customer engagements.Team ManagementLead and grow a high-performing team of ML engineers through hiring, coaching, and mentorship.Foster a culture of ownership, innovation, and continuous learning.Establish and evolve team processes to maximize productivity and execution speed.Product & Technical InnovationPartner with Product to define and deliver novel, scalable ML solutions that differentiate Cohere in the market.Guide the development of reusable frameworks and abstractions that streamline deployment across customer use cases.Oversee performance optimization and evaluation of models in real-world enterprise environments.Customer EngagementAct as a trusted technical advisor to strategic customers—translating needs into actionable plans.Lead delivery efforts from prototyping through to production deployment on customer infrastructure.Ideal Candidate ProfileExperienceBachelor’s degree in Computer Science, Machine Learning, or a related field (Master’s or PhD preferred).8+ years in AI/ML, including several years in technical leadership roles.Proven success leading large ML teams and delivering complex AI solutions at scale.Experience with enterprise deployments, including custom model development and fine-tuning.Technical ExpertiseDeep understanding of LLMs, their training, deployment, and real-world constraints.Hands-on experience with RAG pipelines, agentic systems, and multi-modal applications.Proficiency in ML frameworks such as PyTorch or TensorFlow.Familiarity with modern cloud platforms (AWS, GCP, Azure) and ML infrastructure best practices.Strategic & Business AcumenStrong ability to translate business requirements into scalable ML solutions.Track record of product thinking and technical decision-making aligned with customer needs.Communication & LeadershipExceptional communicator, capable of aligning technical execution with business goals.Experienced mentor who inspires excellence, collaboration, and growth in technical teams.If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you want to work really hard on a glorious mission with teammates that want the same thing, Cohere is the place for you.We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.Full-Time Employees at Cohere enjoy these Perks:🤝 An open and inclusive culture and work environment 🧑‍💻 Work closely with a team on the cutting edge of AI research 🍽 Weekly lunch stipend, in-office lunches & snacks🦷 Full health and dental benefits, including a separate budget to take care of your mental health 🐣 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement🏙 Remote-flexible, offices in Toronto, New York, San Francisco and London and co-working stipend✈️ 6 weeks of vacationNote: This post is co-authored by both Cohere humans and Cohere technology.

true

About the teamAt OpenAI, we believe that artificial general intelligence (AGI) should benefit all of humanity. To make this real, our team helps organizations worldwide unlock AI’s potential while upholding OpenAI’s values of safety, responsibility, and transparency.On Readiness we aim to equip our team with the skills, knowledge, and capabilities required to deploy advanced A(G)I safely and effectively. Our strategy focuses on fostering a consultative approach rooted in technical expertise, driving value from our proximity to leading research, and a readiness to adapt with the rapid evolution of AI.About the roleAs a Regional GTM Enablement Lead, you will drive AI readiness in your region, ensuring customers and partners have the knowledge, tools, and support they need to succeed. You’ll tailor global strategies to local needs, gather insights to influence our priorities and approach, and enable our team and organizations to deploy AI with confidence. This role blends technical know-how, local awareness, and a drive to continuously learn and share.In this role, you will:Embed within the regional team as a trusted partner, identifying high-impact problems and driving forward solutions. Establish a learning and practitioner culture by driving knowledge sharing, hands-on training, and  group sessions.Design and lead the Regional Readiness Plan to support OpenAI priorities, in close coordination with local leaders, teams and HQ partners.Tailor strategies, playbooks and resources to resonate with local markets. Keep a real-time pulse on local team and customer needs, market trends, and any gaps in readiness; share insights to help shape our global strategy.Represent OpenAI at regional events, conferences, and community forums, advocating for our technology and values in ways that resonate with local audiences.You’ll thrive in this role if you:Have real-world experience applying AI (preferably with OpenAI or similar tools) and a solid technical foundation, ideally in AI/ML or developer-focused technology.Bring 6+ years in a customer-facing technical role e.g., Developer Relations, Technical Account Management, Customer Success, or Technical Product Marketing.Understand regional cultural nuances, regulatory constraints, and business realities that shape local AI adoption.Have a deep understanding of GTM teams—roles, motivations, and goals—so you can build impactful enablement programs.Excel at gathering feedback and distilling complex concepts into accessible, engaging formats that inform strategy and drive decisions. Create clear content—from playbooks and documentation to how-to guides—tailored to both technical and non-technical audiences.Eager to help your colleagues and build strong partnership, maintaining a humble, collaborative approach.Adapt quickly in a fast-moving environment, proactively identifying problems and owning them end-to-end.Enjoy connecting with local communities and empowering early adopters through creative programs and events.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.

true

Join our client's team as a Production Supervisor and AI Trainer, where you'll have a central role in crafting AI solutions that drive manufacturing excellence. Utilize your hands-on experience as a subject matter expert to supervise and coordinate production and operating workers, contributing to the training and refinement of advanced AI models. This unique opportunity allows you to merge your industry knowledge with cutting-edge AI technology—all from the comfort of your own home. Key Responsibilities:Provide expert insights to enhance AI systems' ability to recognize and interpret supervisory tasks in production environments.Analyze, annotate, and evaluate datasets, workflows, and instructions relevant to supervisory roles overseeing operators, inspectors, assemblers, and fabricators.Review and validate AI-generated content for accuracy and applicability to real-world production supervision scenarios.Assist in the creation and refinement of documentation and AI prompts, ensuring they reflect industry best practices with clarity and precision.Collaborate remotely with cross-functional teams to improve the quality and effectiveness of AI-driven training materials.Offer actionable feedback, emphasizing the nuances of direct supervision and coordination within a production context.Promote safety, continuous improvement, and operational efficiency in all training initiatives. Required Skills and Qualifications:Proven experience as a Production Supervisor, Manufacturing Supervisor, Quality Assurance Supervisor, or a similar first-line leadership role in a manufacturing or production setting.Comprehensive understanding of direct supervision and coordination of production and operating workers, including inspectors, machine operators, assemblers, and plant/system operators.Excellent written and verbal communication skills, with an emphasis on clarity and detail.Strong analytical skills and attention to detail for evaluating AI outputs and processes.Ability to work independently in a remote setting and manage deadlines effectively.Proficiency in digital tools and a willingness to learn new technologies related to AI training.Ability to provide constructive feedback within a collaborative team environment. Preferred Qualifications:Experience in AI, machine learning, or technology-driven process improvement projects.Involvement in digital transformation initiatives within manufacturing or production environments.Familiarity with training, coaching, or educational roles aimed at operators or supervisors. About RYZ Labs:RYZ Labs is a startup studio built in 2021 by two lifelong entrepreneurs. The founders of RYZ have worked at some of the world's largest tech companies and some of the most iconic consumer brands. They have lived and worked in Argentina for many years and have decades of experience in Latam. What brought them together is the passion for the early phases of company creation and the idea of attracting the brightest talents in order to build industry-defining companies in a post-pandemic world. Our teams are remote and distributed throughout the US and Latam. They use the latest cutting-edge technologies in cloud computing to create applications that are scalable and resilient. We aim to provide diverse product solutions for different industries, planning to build a large number of startups in the upcoming years. At RYZ, you will find yourself working with autonomy and efficiency, owning every step of your development. We provide an environment of opportunities, learning, growth, expansion, and challenging projects. You will deepen your experience while sharing and learning from a team of great professionals and specialists. Our values and what to expect:- Customer First Mentality - every decision we make should be made through the lens of the customer.- Bias for Action - urgency is critical, expect that the timeline to get something done is accelerated.- Ownership -  step up if you see an opportunity to help, even if not your core responsibility. - Humility and Respect - be willing to learn, be vulnerable, and treat everyone who interacts with RYZ with respect.- Frugality - being frugal and cost-conscious helps us do more with less- Deliver Impact - get things done in the most efficient way. - Raise our Standards - always be looking to improve our processes, our team, and our expectations. The status quo is not good enough and never should be.

true

Join our client's team as a Shipping Clerk and AI Trainer, where you'll play a critical role at the intersection of shipping expertise and advanced technology. In this distinctive position, you'll utilize your industry experience to aid in the development and training of AI systems, ensuring they accurately reflect the realities of current shipping, receiving, and inventory management. Share your expertise as a subject matter expert (SME) while working remotely with a dynamic and forward-thinking team. Key Responsibilities:Verify and maintain accurate records of all incoming and outgoing shipments, ensuring compliance with both company policies and regulatory standards.Document, track, and manage inventory using best practices and digital tools.Coordinate transportation logistics to ensure timely and efficient delivery.Prepare shipments by packing, labeling, and documenting shipment details.Collaborate with cross-functional teams to enhance and refine shipping processes.Serve as an SME for AI training, providing feedback and annotating data to enhance AI performance.Communicate effectively, both in writing and verbally, with team members and technical staff. Required Skills and Qualifications:Demonstrated experience in roles such as Shipping Clerk, Receiver, or Order Fulfillment Specialist.Excellent written and verbal communication skills.Strong attention to detail and organizational skills.Proficiency with digital platforms and inventory management systems.Ability to work independently and as part of a remote team.Strong analytical and problem-solving skills.Enthusiasm for sharing expertise to support AI development and data annotation tasks. Preferred Qualifications:Experience collaborating with technical or product teams.Familiarity with AI systems, data labeling, or machine learning projects.Background in process improvement initiatives within shipping or logistics settings. About RYZ Labs:RYZ Labs is a startup studio built in 2021 by two lifelong entrepreneurs. The founders of RYZ have worked at some of the world's largest tech companies and some of the most iconic consumer brands. They have lived and worked in Argentina for many years and have decades of experience in Latam. What brought them together is the passion for the early phases of company creation and the idea of attracting the brightest talents in order to build industry-defining companies in a post-pandemic world. Our teams are remote and distributed throughout the US and Latam. They use the latest cutting-edge technologies in cloud computing to create applications that are scalable and resilient. We aim to provide diverse product solutions for different industries, planning to build a large number of startups in the upcoming years. At RYZ, you will find yourself working with autonomy and efficiency, owning every step of your development. We provide an environment of opportunities, learning, growth, expansion, and challenging projects. You will deepen your experience while sharing and learning from a team of great professionals and specialists. Our values and what to expect:- Customer First Mentality - every decision we make should be made through the lens of the customer.- Bias for Action - urgency is critical, expect that the timeline to get something done is accelerated.- Ownership -  step up if you see an opportunity to help, even if not your core responsibility. - Humility and Respect - be willing to learn, be vulnerable, and treat everyone who interacts with RYZ with respect.- Frugality - being frugal and cost-conscious helps us do more with less- Deliver Impact - get things done in the most efficient way. - Raise our Standards - always be looking to improve our processes, our team, and our expectations. The status quo is not good enough and never should be.

true

We are seeking a Sales Engineer specializing in AI training to join one of our clients, where you'll be at the heart of technological innovation and business growth. In this innovative part-time, remote role, your engineering expertise will guide AI system training, enhance the sales journey, and equip teams with state-of-the-art insights. Key Responsibilities:Act as the AI training subject matter expert (SME), leading the creation and deployment of AI-based sales solutions.Simplify complex technical ideas into valuable insights for AI systems and sales team members alike.Provide expert technical support for both pre-sales and post-sales engagements, customized to client requirements.Work alongside product and engineering teams to ensure that solutions meet client needs and reflect the latest industry trends.Create and conduct engaging training sessions and prepare detailed documentation for AI-enhanced sales tools.Evaluate market feedback to adjust sales tactics and improve AI training datasets.Ensure clear communication between technical and non-technical stakeholders. Required Skills and Qualifications:Bachelor's degree in engineering or a related technical discipline.Proven track record in selling business goods or services that require deep technical know-how.Exceptional written and verbal communication skills.Previous experience in roles like Sales Engineer, Technical Sales Engineer, or a similar customer-focused technical position.Strong analytical skills and problem-solving prowess.Capacity to explain technical information to non-technical audiences.Self-driven, well-organized, and comfortable working independently in a remote setting. Preferred Qualifications:Expertise in AI model training, data labeling, or ML operations.Experience with AI-driven sales tools and platforms.Previous involvement in technical marketing or business development roles. About RYZ Labs:RYZ Labs is a startup studio built in 2021 by two lifelong entrepreneurs. The founders of RYZ have worked at some of the world's largest tech companies and some of the most iconic consumer brands. They have lived and worked in Argentina for many years and have decades of experience in Latam. What brought them together is the passion for the early phases of company creation and the idea of attracting the brightest talents in order to build industry-defining companies in a post-pandemic world. Our teams are remote and distributed throughout the US and Latam. They use the latest cutting-edge technologies in cloud computing to create applications that are scalable and resilient. We aim to provide diverse product solutions for different industries, planning to build a large number of startups in the upcoming years. At RYZ, you will find yourself working with autonomy and efficiency, owning every step of your development. We provide an environment of opportunities, learning, growth, expansion, and challenging projects. You will deepen your experience while sharing and learning from a team of great professionals and specialists. Our values and what to expect:- Customer First Mentality - every decision we make should be made through the lens of the customer.- Bias for Action - urgency is critical, expect that the timeline to get something done is accelerated.- Ownership -  step up if you see an opportunity to help, even if not your core responsibility. - Humility and Respect - be willing to learn, be vulnerable, and treat everyone who interacts with RYZ with respect.- Frugality - being frugal and cost-conscious helps us do more with less- Deliver Impact - get things done in the most efficient way. - Raise our Standards - always be looking to improve our processes, our team, and our expectations. The status quo is not good enough and never should be.

false

🎨 OpusClip is the world's No.1 AI video agent, built for authenticity on social media.We envision a world where everyone can authentically share their story through video, with no expertise needed. Within just 18 months of our launch, over 10 million creators and businesses have used OpusClip to enhance their social presence. We have raised $50 million in total funding and are fortunate to have some of the most supportive investors, including SoftBank Vision Fund, DCM Ventures, Millennium New Horizons, Fellows Fund, AI Grant, Jason Lemkin (SaaStr), Samsung Next, GTMfund, Alumni Ventures, and many more. Check out our latest coverage by Business Insider featuring our product and funding milestones, and our recognition as one of The Information's 50 Most Promising Startups in 2024. Headquartered in Palo Alto, we are a team of 100 passionate and experienced AI enthusiasts and video experts, driven by our core values: Be a Champion Team Prioritize Ruthlessly Ship fast, Quality Follows Obsess over customers Be a part of this exciting journey with us!📝 Your ResponsibilityCollaborate with our team to build and optimize a language model pipeline for video understanding using prompt engineering, fine-tuning, and other creative techniquesDesign and deliver state-of-the-art NLP/CV models or features to improve product performance in understanding videosConduct research and demos with cutting-edge LLMs exploration and applications📝 QualificationsBachelor's degree or above in computer science or related fieldsLess than 2 years of work experience or fresh graduates are also welcomeFluent in verbal, written, and technical EnglishSolid programming skills in Python, C++, or JavaScriptProficient in PyTorch or TensorFlowExperienced in areas in one of the below:Video understanding.LLM fine-tuning/multimodal systems.Prompt Engineering & RAGEnthusiastic, excellent communicator, self-motivated, and possessing a sense of ownership.📝 Preferred ExperienceExperience in building products from the ground upStrong coding skillsPassionate about the future with GPT-x, experience in building APIs/services/open-source with ChatGPT is highly preferredProjects completed or Research papers published in one of the following areas:Video understandingLLMs finetuning/multi-modalsPrompt EngineeringPublications or papers submitted in top-tier conferences, such as ACL, EMNLP, CVPR, ICCV, ICLR, NeurIPS, KDD, AAAI, etc.📝 Location (On-site):Palo Alto, CA; San Francisco, CAEEOOpusClip is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristics. OpusClip considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Opus Clip is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures.

false

About the RoleWe’re looking for a full-stack engineer to design and deliver end-to-end product features that connect client applications with scalable cloud services. You’ll work across the entire stack—mobile, embedded, and web apps, as well as backend systems—to build fast, reliable experiences that balance real-world constraints with excellent UX.You’ll collaborate with designers and cross-functional teams to prototype solutions, then take them from concept to production. The ideal candidate has strong product instincts, understands the tradeoffs between client and cloud systems, and cares deeply about building delightful user experiences.Core ResponsibilitiesPartner with designers and product teams to create intuitive, performant experiences.Architect APIs, data flows, and sync mechanisms that perform under real-world conditions.Continuously simplify, refine, and optimize performance across client and server.Balance rapid iteration with long-term system quality and maintainability. Minimum Qualifications7+ years of professional software engineering experience across both client and server environments.Strong understanding of constraints in client applications (e.g., memory, power, offline) and cloud systems (e.g., latency, scalability).Proven track record of building and shipping user-facing products end-to-end.Experience collaborating with designers and cross-functional teams.Comfortable working from zero-to-one on early-stage products and iterating quickly.Preferred QualificationsExperience with cloud-connected systems and applied AI technologies.Familiarity with mobile or embedded systems, as well as modern backend frameworks.Background in instrumentation, analytics, and performance tuning.Strong design collaboration and product intuition.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.

true

The Opportunity AI is rapidly transforming the world. Whether it’s developing the next generation of human-level intelligence, enhancing voice assistants, or enabling researchers to analyze genetic markers at scale, AI is increasingly integrated into various aspects of our daily lives. Arize AI is the leading AI observability and evaluation platform, empowering AI engineers to build and deploy high-performing, reliable models. As the AI landscape shifts from traditional ML to generative AI and agentic systems, Arize ensures teams have the tools to monitor, troubleshoot, and improve AI in production. The Team Our On-Prem engineering team is responsible for the deployment of Arize in customer environments. In addition to working with customers in defining infrastructure requirements, the team designs and develops software and tooling that enables the management of these systems at large scale. The On-Prem team has grown to be expert in Kubernetes and cloud deployment on GCP, Azure, and AWS as well as dealing with networking and security aspects of on-premise deployments. The team is dynamic and relies on few talented individuals with a high degree of autonomy and initiative. What You’ll Do Work hands-on with the infrastructure that supports our distributed & highly scalable services in both SaaS and on-prem offerings Gather requirements from customers and adapt manifests and software to support new environments Use and augment monitoring tools to observe platform health, ensure performance and reliability Interact with the product team to test new features and package new on-prem releases Automate and optimize the release pipeline to make it as frictionless as possible Exhibit continuous curiosity for emerging technology that could solve our challenges What will set you apart: 3+ years of experience as a DevOps Engineer, Cloud Engineer, Infrastructure Engineer or similar Excellent communication skills and ability to work directly with customers to understand and address their infrastructure needs Experience and fluency in Kubernetes A self starter with an ability to thrived in a fast paced environment Experience working with multiple cloud providers (AWS, GCP, Azure) and understanding how to adapt cloud-native architectures for on-premises environments Strong troubleshooting skills The estimated annual salary for this role is between $100,000 - $185,000, plus a competitive equity package. Actual compensation is determined based upon a variety of job related factors that may include: transferable work experience, skill sets, and qualifications. Total compensation also includes a comprehensive benefit package, including: medical, dental, vision, 401(k) plan, unlimited paid time off, generous parental leave plan, and others for mental and wellness support. While we are a remote-first company, we have opened offices in New York City and the San Francisco Bay Area, as an option for those in those cities who wish to work in-person. For all other employees, there is a WFH monthly stipend to pay for co-working spaces.More About Arize Arize’s mission is to make the world’s AI work and work for the people. Our founders came together through a common frustration: investments in AI are growing rapidly across businesses and organizations of all types, yet it is incredibly difficult to understand why a machine learning model behaves the way it does after it is deployed into the real world. Learn more about Arize in an interview with our founders: https://www.forbes.com/sites/frederickdaso/2020/09/01/arize-ai-helps-us-understand-how-ai-works/#322488d7753c   Diversity & Inclusion @ Arize Our company's mission is to make AI work and make AI work for the people, we hope to make an impact in bias industry-wide and that's a big motivator for people who work here. We actively hope that individuals contribute to a good culture Regularly have chats with industry experts, researchers, and ethicists across the ecosystem to advance the use of responsible AI Culturally conscious events such as LGBTQ trivia during pride month We have an active Lady Arizers subgroup

false

About Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work. We are a dynamic, collaborative team passionate about AI and its potential to transform society.Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, US, UK, Germany and Singapore. We are creative, low-ego and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers. About The Job As an early member of our US Solutions Architecture team, you will work closely with our Enterprise Account Executives and Applied AI Engineering team to drive the adoption of our state-of-the-art large language models with Enterprise customers. What you will do Pre-Sale & Sales Activities:- Execute on effective technical discovery to understand potential clients' needs, challenges, and desired outcomes in collaboration with Account Executives.- Contribute to effectively identifying, qualifying, and disqualifying opportunities where Mistral solutions can unlock the most value for the customer. - Collaborate with the sales team to progress deals and penetrate accounts, providing technical expertise and insights where necessary.- Influence evaluation criteria and gain control of evaluations and the evaluation process.- Create a strategic vision for the customer based on a deep understanding of their strategy, desired positive business outcomes, and required capabilities. Product Implementation & Integration:- Guide and support customers in deploying our text completion API into their infrastructure.- Work closely with customers to fine-tune models according to their specific requirements.- Assist clients in integrating our APIs into their front-end interfaces, ensuring a smooth user experience.- Regularly liaise with the product and technical teams to relay feedback and suggest improvements. Customer Success & Support:- Collaborate with Account Executives to ensure that the customer is maximizing the product's potential.Provide post-deployment support, addressing any issues or challenges that arise promptly.- Offer recommendations for product optimizations or new features based on customer feedback.- Develop custom features for customers as needed. About you - Previous experience in a technical pre-sales or consulting role with a heavy emphasis on customer-facing interactions (i.e. Implementation Consultant, Solutions Architect, Sales Engineer).- Experience partnering with Account Executives or Engagement Managers driving technical account strategy, proof-of-concept scoping, and execution.- Strong Python development skills with proven ability to integrate data from multiple sources. Working knowledge of cloud architecture and deployment patterns for AI/ML solutions- Track record of managing complex implementation projects from discovery to delivery- Experience running solution design workshops and translating business requirements into technical specifications- Strong stakeholder management skills, including experience working with C-level executives- Outstanding presentation and communication skills, with ability to adapt messaging for technical and business audiences- Bachelor's or Master's in computer science, engineering, mathematics, or related fields (or equivalent experience) - Nice to have: - Led successful deployments of Generative AI or traditional machine learning solutions in enterprise environments, including prototyping and customization. - Familiarity with deal qualification using MEDDPICC and/or value-based sales methodologies like Command of the Message.  What We Offer 💰 Competitive cash salary and equity🚑 Healthcare: Medical/Dental/Vision covered👴🏻 401K: 6% matching🚴 Transportation: Reimburse office parking charges, or $120/month for public transport💡 Coaching: we offer BetterUp coaching on a voluntary basis🥎 Sport: $120/month reimbursement for gym membership🥕 Meal voucher: $400 monthly allowance for meals

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 AI Data Annotation and friendly user of LLMs, Mindrift offers a unique opportunity to apply your editing, annotating, fact-checking and creative skills to an AI training project.This is a freelance role for a project, and your typical tasks may include: Conduct high-quality web searches to verify facts, gather supporting data, and cross-check AI responses. Perform fact-checking and intent verification to ensure AI responses align with the user's goals. Carefully review and flag any inaccuracies, inconsistencies, or irrelevant answers. Provide structured feedback on AI-generated content to help improve model performance. Work effectively with large language models (LLMs), understanding their capabilities and limitations, and applying best practices when interacting with them. Prompt generation with a purpose to receive the best quality result of LLMs. 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 are currently enrolled in or completed a Bachelor's degree or higher. You have professional and/or educational experience in data annotation, demonstrate a deeper-than-user-level interest in AI, and possess intellectual breadth and curiosity. You are skilled in web searching, fact-checking, intent-checking, able to work with LLMs and have great attention to detail. Your level of English is upper-intermediate (B2) or above. 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

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 ROLEWe’re seeking a GPU Kernel Engineer to join our team at the cutting edge of AI acceleration, where your code directly impacts the performance of state-of-the-art machine learning models. As a GPU Kernel Engineer, you'll craft the foundation that powers modern AI workloads, optimizing every microsecond of computation to enable breakthrough applications.You'll work in a fast-paced, intellectually stimulating environment where technical excellence is paramount and your contributions directly influence production systems serving millions of users across numerous products. This role offers exceptional growth potential for engineers passionate about low-level optimization and high-impact systems work.EXAMPLE INITIATIVESYou'll get to work on these types of projects as part of our Model Performance team:Baseten Embeddings Inference: The fastest embeddings solution availableThe Baseten Inference StackDriving model performance optimizationRESPONSIBILITIESCore Engineering ResponsibilitiesDesign and implement high-performance GPU kernels for key ML operations, including matrix multiplications, attention mechanisms, and mixture-of-experts routingWrite and optimize code using CUDA, PTX assembly, and architecture-specific techniquesApply advanced performance optimization methods such as memory coalescing, warp-level programming, tensor core acceleration, and compute/memory overlapPerformance & InnovationImplement cutting-edge features like quantization (FP8/FP4), sparsity, and compute/communication overlapIdentify and resolve performance bottlenecks using tools like Nsight Systems, Nsight Compute, and Torch ProfilerCollaborate with research teams to productionize theoretical advancementsImpact & CollaborationContribute to internal and open-source GPU librariesPresent technical contributions at industry conferences (e.g., NVIDIA GTC, AWS re:Invent)REQUIREMENTS1–5 years of experience in CUDA developmentStrong understanding of GPU architecture and programming paradigms:Memory hierarchy (global, shared, registers, L1/L2 cache)Thread/block/grid organizationSynchronization techniques and race condition mitigationProficient in C++ and GPU performance profiling toolsKnowledge of:CUDA C++ APIMemory access patterns and bandwidth optimizationNumerical precision and quantization strategiesModern GPU features (e.g., tensor cores, async operations)NICE TO HAVEExperience with Transformer models and attention optimization (e.g., Flash Attention)Familiarity with GPU kernel libraries: Cutlass, Triton, Thrust, CUBBackground in GEMM tuning and distributed/multi-GPU computeContributions to open-source GPU projectsResearch publications or conference presentations on GPU performanceBENEFITSCompetitive compensation package (Flexible PTO, 401k, covered healthcare premiums).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

Our vision at Descript is to build the next-generation platform for fast and easy creation of audio and video content. We are trusted by some of the world's top podcasters and influencers, as well as businesses like BBC, ESPN, HubSpot, Shopify, and The Washington Post for communicating via video. We've raised $100M from leading investors such as the OpenAI Startup fund, Andreessen Horowitz, Redpoint Ventures, and Spark Capital. We are looking for a strategic and hands-on Marketing Data Scientist to join our Growth team. You’ll partner closely with Performance marketing team to architect our measurement framework, optimize performance across full-funnel marketing, and enable smarter business decisions through data. This is a pivotal role for scaling Descript's marketing engine across both B2C product-led and B2B sales-led growth motions. You'll pioneer the use of AI-enhanced analytics tools that automate strategic decision-making processes and deliver predictive insights at scale. This role can be remote in the US or based in the SF Bay Area. What You’ll Do Define and Evolve Marketing Measurement Develop channel specific CAC targets accounting for audience intent and funnel stage Iterate and improve attribution models, while navigating platform-reported limitations and first-party data availability Drive incrementality measurement, partnering with the performance marketing team to design and run in-house conversion lift experiments Design and build AI-powered tools that automate routine marketing analyses and surface actionable insights Build Core Dashboards & Reporting Own the creation and ongoing refinement of marketing dashboards Ensure clear, automated, and actionable reporting on acquisition, retention, and monetization Lead Modeling & Forecasting Initiatives Create models to score leads based on their likelihood to convert, helping sales and marketing teams prioritize high-value prospects Build models to forecast campaign performance and support monthly budget allocation Develop recommendation systems that leverage user behavior data to suggest optimal channel mix and budget allocation Be a Strategic Partner Collaborate with Marketing, Sales, Product, and Analytics Engineering to ensure data quality, interpretability, and usability. Champion high standards for experimentation, measurement, and statistical rigor across the org. Proactively identify trends, patterns, and opportunities through data to improve day-to-day operations and drive user acquisition, activation, and retention. What You Bring Extreme ownership and resourcefulness to get things done. Deep understanding of ads platforms (Meta, Google, Microsoft), data enrichment, and reverse ETL process through a CDP such as Segment or Census. Strong working knowledge of incrementality testing, randomized controlled experiments and quasi-experiments. Experience with building in-house attribution models Proven success working with both product-led growth funnels and sales-led GTM motions. Experience with AI tools and frameworks for marketing analytics and optimization Familiarity with LLMs and how they can be leveraged to enhance marketing insights Understanding of how to build and deploy AI-powered prediction models for user behavior and conversion Bachelor's or Master's degree in a relevant field (e.g. computer science, mathematics, statistics, etc). 5+ years of experience in a data scientist or related role. Proficient in SQL and at least one programming language such as Python or R. At our current size and stage, we embrace a flat organizational structure and value the expertise and contributions of every team member. As such, we have a unified job title for our engineering roles where everyone, including those with Staff-level scope, is considered a Data Scientist. While titles may not change, we are actively seeking a senior and above Data Scientist to join our team. The base salary range for this role is $144,000- $192,000/year. Final offer amounts will carefully consider multiple factors, including prior experience, expertise, location, and may vary from the amount above.About Descript Descript is building a simple, intuitive, fully-powered editing tool for video and audio — an editing tool built for the age of AI. We are a team of 150 — with a proven CEO and the backing of some of the world's greatest investors (OpenAI, Andreessen Horowitz, Redpoint Ventures, Spark Capital).  Descript is the special company that's in possession of both product market fit and the raw materials (passionate user community, great product, large market) for growth, but is still early enough that each new employee has a measurable influence on the direction of the company. Benefits include a generous healthcare package, catered lunches, and flexible vacation time. Our headquarters are located in the Mission District of San Francisco, CA. We're looking to hire people who are local and able to join us at the office when needed. We're flexible, and you're an adult—we don't expect or mandate that you're in the office every day. But we do believe there are valuable and serendipitous moments of discovery and collaboration that come from working together in person.  Descript is an equal opportunity workplace—we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. We believe in actively building a team rich in diverse backgrounds, experiences, and opinions to better allow our employees, products, and community to thrive. 

true

About Kalepa: Commercial insurance is a trillion-dollar industry run out of Microsoft Outlook. Kalepa is upending this.  Our state-of-the-art AI Copilot platform empowers underwriters to make smarter, faster, and more accurate decisions. Our AI is designed to deliver real results - insurers literally see massive improvements to their top and bottom lines as soon as they implement Copilot. That’s why our clients call Copilot “truly an underwriter’s dream” and proclaim that Copilot helps them “almost double the amount of accounts they can look at in the day."  Kalepa's team members bring experience from top technology companies, including Facebook, Google, Amazon, Mastercard, and Uber. Kalepa is backed by leading VCs like IA Ventures and Inspired Capital. Our Values (This is important): Many organizations have a dusty list of corporate values that no one ever follows. Kalepa is not one of those companies. Our values are designed to unlock the potential of our employees.  Success at Kalepa is bred from five core principles: Hustle & Grit - We expect everyone at Kalepa to be excellent at what they do and relentless in pursuing their craft. There are no easy days. Kalepa’s exceptional speed and determination are our biggest differentiators: this is how we win. Customer Focus - We will ruthlessly prioritize the work that drives our clients’ growth, profitability, and efficiency. We are not building things just because they seem cool - we are here to solve our customers’ most strategic problems. Meritocracy - Too many exceptional people are stifled by corporate bureaucracies. At Kalepa, those people excel - and we reward tremendous results with rapid promotions and compensation growth.  Transparency - We are honest with each other. We don’t believe in back-office politics and keeping employees in the dark. Transparency allows us to instantly cut to the heart of the matter and figure it out together. Experimentation - For many of the problems we face, no company has ever solved them before. We tackle these by quickly testing, measuring, and iterating to determine the path to success. In addition to our NY office, we have remote employees speaking 10+ languages across the globe. But we invest in bringing our people together both for regional meetups and global offsites (2021 - Playa Del Carmen | 2022 - Rome | 2023 - Buenos Aires | 2024 - Lisbon). Kalepa’s culture isn’t for everyone, and that’s ok. But for the people who are a fit, they can’t imagine working elsewhere. About the role: Total cash compensation: $175K-225K* ******* Join Kalepa as our Marketing Director and take charge of shaping and executing our marketing strategy. You will be a member of the leadership team, driving one of the most critical functions at Kalepa to 10x all aspects of our marketing. This is a hands-on role, as the architect, strategist, and executor behind everything from demand gen and content to product marketing and brand. Successful candidates will be comfortable being the main individual running the full marketing operation, with the expectation that they could also scale the function and hire contractors in time. You’ll partner closely with sales, product, RevOps, and leadership to bring Kalepa’s story to life, further establish us as the go-to AI solution for commercial insurance underwriters, and drive measurable business results. If you’re equal parts thinker and doer - and excited to own the full funnel - this is your seat at the table. About you: 6–10+ years of marketing experience in B2B SaaS, ideally in fintech, insurtech, or enterprise software Proven ability to develop and execute full-funnel marketing strategies that drive leads, pipeline, and revenue Exceptional writer and communicator who can translate complex ideas from insurance and AI into compelling messaging across long and short form content Experience across demand gen, content, product marketing, events, and brand - and know when to prioritize what Adept at working cross-functionally with sales, product, and exec teams Comfortable being a team of one today - you’ll be hands-on executing on Kalepa’s marketing initiative. But also, you should be excited to scale the function in the future as we bring on additional staff to drive your vision forward. Analytical and scrappy - You measure what matters and make things happen fast AI-first marketer - You instinctively turn to AI to shortcut hours (or days) of work, using the latest tools to boost leverage, spark ideas, elevate quality, and drastically speed up execution. This is your unfair advantage over legacy marketers. Passionate about AI and technology and curious about the world of insurance. You must be ready to be one of the leading experts on the intersection of AI and insurance What you’ll get: Competitive salary (based on experience level)*. Significant equity options package. 401(k) plan with employer contribution (regardless of employee contribution) Work with an ambitious, smart, global, and fun team to transform a $1T global industry. Ground floor opportunity – very early member of Kalepa’s sales team Excellent benefits: 100% covered medical, 100% covered vision and dental, very generous PTO, and others. Global team off-sites (2021 - Playa del Carmen, 2022 - Rome, 2023 - Buenos Aires, October 2024 - Lisbon) *The salary range listed is an estimate and will vary based on a variety of factors. Final compensation will be determined during the offer stage based on relevant experience, performance during the interview process, and geographic location, and may therefore differ from the posted range. 

false

AI is becoming vitally important in every function of our society. At Scale, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we’re accelerating the usage of frontier data and models by building complex agents for enterprises around the world through our Scale Generative AI Platform (SGP). The SGP ML team works on the front lines of this AI revolution. We interface directly with clients to build cutting edge products using the arsenal of proprietary research and resources developed at Scale. As an ML Engineering Manager, you’ll manage a team of high-calibre Applied AI Engineers + MLEs who work with clients to train ML models to satisfy their business needs. Your team’s work will range from training next-generation AI cybersecurity firewall LLMs to training foundation agentic action models making predictions about business-saving outcomes. You will guide your  team towards using data-driven experiments to provide key insights around model strengths and inefficiencies in an effort to improve products. If you are excited about shaping the future of the modern AI movement, we would love to hear from you! You will: Train state of the art models, developed both internally and from the community, in production to solve problems for our enterprise customers.  Manage a team of 5+ Applied AI Engineers / ML Engineers Work with product and research teams to identify opportunities for ongoing and upcoming services. Explore approaches that integrate human feedback and assisted evaluation into existing product lines.  Create state of the art techniques to integrate tool-calling into production-serving LLMs. Work closely with customers - some of the most sophisticated ML organizations in the world - to quickly prototype and build new deep learning models targeted at multi-modal content understanding problems. Ideally you’d have: At least 3 years of model training, deployment and maintenance experience in a production environment At least 1-2 years of management or tech leadership experience Strong skills in NLP, LLMs and deep learning  Solid background in algorithms, data structures, and object-oriented programming Experience working with a cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment Experience building products with LLMs including knowing the ins and outs of evaluation, experimentation, and designing solutions to get the most of the models PhD or Masters in Computer Science or a related field Nice to haves: Experience in dealing with large scale AI problems, ideally in the generative-AI field Demonstrated expertise in large vision-language models for diverse real-world applications, e.g. classification, detection, question-answering, etc.  Published research in areas of machine learning at major conferences (NeurIPS, ICML, EMNLP, CVPR, etc.) and/or journals Strong high-level programming skills (e.g., Python), frameworks and tools such as DeepSpeed, Pytorch lightning, kubeflow, TensorFlow, etc.  Strong written and verbal communication skills to operate in a cross functional team environment Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$212,000—$254,400 USDPLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI.  Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.  We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision.  PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

false

About the Team:OpenAI, in close collaboration with our capital partners, is embarking on a journey to build the world’s most advanced AI infrastructure ecosystem. The Data Center Engineering team is at the core of this mission. This team sets the infrastructure strategy, develops cutting-edge engineering solutions, partners with research teams to define the infrastructure performance requirements, and creates reference designs to enable rapid global expansion in collaboration with our partners. As a key member of this team, you will help design and deliver next-generation power, cooling, and hardware solutions for high-density rack deployments in some of the largest data centers in the world. You will work closely with stakeholders across research, site selection, design, construction, commissioning, hardware engineering, deployment, operations, and global partners to bring OpenAI’s infrastructure vision to life.About the Role:We’re seeking a seasoned data center R&D engineer with extensive experience in designing, performing validation testing, commissioning, and operating large-scale power, cooling, and high-performance computing systems. This role focuses on developing and validating new infrastructure and hardware, including high-voltage rectifiers, UPS systems, battery storage, transformers, DC to DC converters, and power supplies. The role will lead the design and buildout of a hardware validation lab, create detailed models and test procedures, and ensure hardware compatibility across edge-case data center operating conditions. Additionally, the role involves working closely with hardware vendors to assess manufacturing test protocols, throughput, and liquid-cooled GPU rack performance. A strong foundation in technical design, operational leadership, and vendor collaboration is critical, with an opportunity to lead high-impact infrastructure programs.You Might Thrive in this Role:Oversee electrical, mechanical, controls, and telemetry design and operations for large-scale data centers, including review of building and MEP drawings across all project phases from concept design to permitting, construction, commissioning and production.Develop, test and implement operational procedures and workflows from design through commissioning and deployment.Perform validation testing of all critical equipment and hardware in partnership with equipment vendors and ODMs.Lead buildout of R&D lab, including equipment selection, test infrastructure for high-density liquid-cooled racks, and staffing plans.Select and manage engineering tools (CAD, CFD, PLM, PDM, electrical, mechanical, power/network management).Collaborate with external vendors to select, procure, and manage critical infrastructure equipment (e.g., UPS, generators, transformers, DC to DC converters, chillers, VFDs).Ensure seamless integration of power, cooling, controls, networking, and construction systems into facility design.Provide technical direction to teams and vendors, ensuring safety, quality, and compliance with local codes, standards and regulations.Manage vendor relationships and ensure adherence to safety, performance, and operational standards.Qualifications:20+ years of experience in data center design, operations, and critical systems maintenance.Proven leadership across design, commissioning, and operation of large-scale data center campuses.Deep expertise in infrastructure systems (power, cooling, controls, networking) and operational workflows.Hands-on experience with critical infrastructure equipment and testing protocols.Strong track record in lab development, equipment selection, and facility operations.Familiarity with engineering tools (CAD, CFD, PLM, etc.) and their integration across teams.Experience navigating regulatory environments and working with government agencies.Excellent cross-functional communication and stakeholder collaboration.Bachelor’s degree in engineering required; advanced degree and PE certification preferred.Preferred Skills:Expertise in equipment design, agency certification, and validation testing.Experience in global, matrixed organizations and multi-site operations.Skilled in vendor negotiations and supply chain management.Familiarity with sustainable and energy-efficient data center design principles.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.

false

Your New Role and TeamWe are looking to hire a Mechanical Engineer – Automation, reporting functionally to the Mechanical Team Lead and working closely with cross-functional technical leads. This role is essential to delivering robust robotic solutions for real-world deployment by integrating mechanical systems with advanced control and AI technologies. In this role, you’ll lead the design, assembly, and integration of complete robotic systems to automate a wide range of customer workflows. You’ll collaborate closely with engineering, software, and commercial teams to translate customer needs into scalable and reliable automation solutions. From feasibility assessment through to on-site system commissioning, you’ll own both the design and execution phases. If you’re excited by building intelligent, hands-on robotics solutions and deploying them into real production environments, we’d love to hear from you. Success CriteriaEvaluate customer task requirements and define mechanical workflows in collaboration with technical leadsDesign, source, and integrate robotic components including arms, grippers, sensors, and custom fixturesAssemble, modify, and commission reliable mechanical systems in-house for testing and deploymentDevelop custom mechanisms that support high precision, repeatable, and task-specific constraintsEnsure system readiness for operation, validation, and deployment testingTroubleshoot and iterate on hardware performance in close collaboration with engineering teamsCoordinate with suppliers to ensure timely delivery and smooth integration of mechanical componentsCollaborate with internal stakeholders and external partners to ensure mechanical designs meet performance, interoperability, and scalability needs Your ExperienceQualificationsDegree in Mechanical Engineering, Mechatronics, or related field5+ years of experience in automation system design, integration, and field deploymentProficiency with CAD design, mechanical assembly, and rapid prototypingStrong understanding of robotic arms, grippers, sensor systems, and motion control integrationAwareness of industry-standard robotic components, suppliers, and system compatibility considerationsDemonstrated ability to deliver full mechanical solutions from concept to operational deploymentExperience working cross-functionally with software, controls, and product teams SkillsHands-on approach to design, build, and integrationSkilled in troubleshooting real-world mechanical performance issuesAbility to plan and execute automation workflows under constraints of throughput, precision, and flexibilityComfortable sourcing components, managing external relationships, and navigating technical trade-offsStrong communication skills and ability to align stakeholders across teamsProficient with 3D CAD tools (Onshape preferred) TraitsCurious, resourceful, and energized by solving physical-world problemsThrives in fast-paced, iterative environmentsComfortable taking ownership of technical outcomes and navigating ambiguityCollaborative and communicative across disciplinesPassionate about building systems that blend mechanical reliability with intelligent control

false

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.Job Summary:Hayden is seeking a Staff-Level Perception generalist to drive the full life cycle of our perception algorithms. In this pivotal role, you will contribute across all phases of the perception stack -- from early prototyping and validation to production deployment and real-world performance monitoring. You’ll work closely with cross-functional teams to support pilot programs critical to our market exploration, both locally and internationally. As part of a fast-paced startup entering a scale-up phase, you’ll play a foundational role in building reliable, scalable, and high-impact perception systems.Responsibilities:   Software Engineering: Lead the development of robust, production-grade C++ perception modules. Deliver well-tested, high-performance code that is maintainable and scalable. Pilot Program Support: Develop deep familiarity with all perception submodules. Coordinate work across perception teams to deliver customized solutions for pilot programs and international launches. Cross-Functional Collaboration: Partner with front-end, back-end, embedded systems, and product teams to ensure seamless integration and monitoring of the perception stack in production environments. Technical Leadership: Act as a hands-on tech lead, providing architectural guidance, conducting code and design reviews, and mentoring both senior and junior engineers. Foster a culture of technical excellence and collaboration within the team.Required Qualifications:Master’s degree in Robotics, Machine Learning, Computer Science, Electrical Engineering, or a related field, or equivalent practical experience.10+ years of relevant experience with a proven track record in building and deploying real-world perception systems using a combination of Computer Vision, Machine Learning, and Robotics techniques. Experience in automotive or robotics domains is preferred.Proficiency in C++ and Python, with the ability to write performant, reliable, and maintainable software in production environments.Demonstrated skill in debugging and analyzing complex perception stacks across simulation, development, and real-world deployments.Expertise in at least one of the following areas, with familiarity in others:Machine Learning & Deep LearningComputer Vision (e.g., feature detection, tracking, geometric methods)Robotics (e.g., SLAM, state estimation, Kalman Filters, Particle Filters)Excellent verbal and written communication abilities. Able to explain complex technical concepts clearly to both engineers and non-engineers.Preferred Qualifications:Past experience in providing technical direction, conducting code/design reviews, and mentoring junior and mid to senior engineers is a plus.A strong academic track record in relevant fields (e.g., robotics, computer vision, machine learning) is a plus.