AI Marketing & Sales Jobs

false

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

false

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

false

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

false

About the TeamThe Go To Market team is responsible for developing and implementing scalable fraud detection and review systems, conducting Trust & Safety and financial fraud investigations, and partnering cross functionally to address customer risk, compliance, and integrity at scale.About the RoleAs a Fraud & Risk Analyst, you will develop and operate fraud detection, investigation, and risk management systems using automation, machine learning, and human-in-the-loop processes.This role is based in San Francisco, CA. Telecommuting is permitted from within the U.S.In this role, you will:Develop and implement scalable fraud detection and review systemsUtilize automation, machine learning, and human-in-the-loop processes to prioritize high-risk and high-prevalence casesConduct Trust & Safety and financial fraud investigations and resolve customer risks through root cause analysis and long-term remediationConduct data analysis and investigations using internal and third-party data to build operational metrics and monitoring systemsDrive continuous improvement in fraud detection models and risk management systemsIncubate product launch integrity reviews in collaboration with Safety Systems Engineers, Research, Product, and Policy teamsCollaborate with Safety Systems Engineers, Research, Product, and Policy teams to create and refine policies targeting specific risk vectors and ensure global regulatory complianceDevelop Quality Assurance measurement programs and improve target operational metricsBuild technical architectures to enable scalable vendor review systemsCreate technical training programs addressing emerging risks in Artificial Intelligence and operational workflowsCompensation Range$185,000 to $275,000 per yearAbout OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

false

Sr. Product Manager – Agentic AI ApplicationsAt Joist AI, we’re building AI systems that don’t just respond—they reason, plan, and act. We’re looking for a hands‑on Product Manager who can dive into technical detail, sit shoulder‑to‑shoulder with developers and data scientists, and still keep an eye on the big picture. This is a role for someone entrepreneurial—comfortable with ambiguity, fast cycles, and the hustle it takes to turn bleeding‑edge AI into production systems that actually work.What You'll DoDrive Product DevelopmentTranslate cutting‑edge AI concepts (LLMs, RAG, agentic frameworks) into production‑ready workflows.Sit with engineers and data scientists during debug sessions, design reviews, and brainstorming to drive clarity and unblock progress.Sweat the details: from model evaluation metrics to API contracts, you’ll know enough to ensure product quality and performance.Own the Roadmap & ExecutionPrioritize ruthlessly, balancing user value, technical feasibility, and time‑to‑market.Define, scope, and ship features end‑to‑end in tight iterations.Push features across the finish line—removing blockers, making fast trade‑offs, and hustling to deliver.Customer & Market InsightPartner with Customer Success to understand how real users interact with our platform—and where they get stuck.Translate messy customer workflows into elegant technical solutions.Identify opportunities for Joist AI’s agentic tech to transform how work actually gets done.Leadership & CultureChampion a “get it done” culture that values speed, rigor, and accountability.Bridge technical and business teams with clear, no‑nonsense communication.Help shape the DNA of our product org at a company where the AI frontier is our playground.What You Bring5+ years of product management or technical leadership in SaaS/AI/ML products.Strong technical fluency—you understand LLMs, embeddings, RAG, and can engage in technical design sessions with engineers.Demonstrated ability to debug, problem‑solve, and make informed decisions in ambiguous situations.Entrepreneurial drive: you’re comfortable with imperfect information, quick pivots, and hustling to deliver value.Relentless attention to detail and pride in shipping high‑quality, production‑ready systems.Bonus PointsPrior experience as a software engineer, data scientist, or in a highly technical role.Exposure to agent frameworks, ML pipelines, or workflow automation.Experience working in early‑stage startups where speed and ownership are everything.What We OfferCompetitive salary and equity.Flexible PTO and remote work options.A seat at the table in defining how autonomous AI gets built and shipped.Access to top AI tools, research, and compute resources.The chance to help shape a company where product, engineering, and AI innovation move as one team.

false

About xAI xAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All engineers are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.About the Role As an AI Tutor - Economics, you will be instrumental in enhancing the capabilities of our cutting-edge technologies by providing high-quality input and labels using specialized software. Your role involves collaborating closely with our technical team to support the training of new AI tasks, ensuring the implementation of innovative initiatives. You'll contribute to refining annotation tools and selecting complex problems from advanced economics domains, with a focus on macroeconomic forecasting, microeconomic incentives, and behavioral experiments. This position demands a dynamic approach to learning and adapting in a fast-paced environment, where your ability to interpret and execute tasks based on evolving instructions is crucial. AI Tutor’s Role in Advancing xAI’s Mission As an AI Tutor, you will play an essential role in advancing xAI's mission by supporting the training and refinement of xAI’s AI models. AI Tutors teach our AI models about how people interact and react, as well as how people approach issues and discussions in economics. To accomplish this, AI Tutors will actively participate in gathering or providing data, such as text, voice, and video data, sometimes providing annotations, recording audio, or participating in video sessions. We seek individuals who are comfortable and eager to engage in these activities as a fundamental part of the role, ensuring a strong alignment with xAI’s goals and objectives to innovate. Scope An AI Tutor will provide services that include labeling and annotating data in text, voice, and video formats to support AI model training. At times, this may involve recording audio or video sessions, and tutors are expected to be comfortable with these tasks as they are fundamental to the role. Such data is a job requirement to advance xAI’s mission, and AI Tutors acknowledge that all work is done for hire and owned by xAI. Responsibilities Use proprietary software applications to provide input/labels on defined projects. Support and ensure the delivery of high-quality curated data. Play a pivotal role in supporting and contributing to the training of new tasks, working closely with the technical staff to ensure the successful development and implementation of cutting-edge initiatives/technologies. Interact with the technical staff to help improve the design of efficient annotation tools. Choose problems from economics fields that align with your expertise, focusing on areas like macroeconomics, microeconomics, and behavioral economics.  Regularly interpret, analyze, and execute tasks based on given instructions. Key Qualifications Must possess a PhD in Economics or related field Proficiency in reading and writing, both in informal and professional English. Outstanding communication, interpersonal, analytical, and organizational capabilities. Solid reading comprehension skills combined with the capacity to exercise autonomous judgment even when presented with limited data/material. Strong passion for and commitment to technological advancements and innovation in economics. Preferred Qualifications Possesses experience with at least one publication in a reputable economics journal or outlet. Teaching experience as a professor. Location & Other Expectations This position is based in Palo Alto, CA, or fully remote. The Palo Alto option is an in-office role requiring 5 days per week; remote positions require strong self-motivation. If you are based in the US, please note we are unable to hire in the states of Wyoming and Illinois at this time. We are unable to provide visa sponsorship. Team members are expected to work from 9:00am - 5:30pm PST for the first two weeks of training and 9:00am - 5:30pm in their own timezone thereafter. For those who will be working from a personal device, please note your computer must be a Chromebook, Mac with MacOS 11.0 or later, or Windows 10 or later. Compensation $45/hour - $100/hour The posted pay range is intended for U.S.-based candidates and depends on factors including relevant experience, skills, education, geographic location, and qualifications. For international candidates, our recruiting team can provide an estimated pay range for your location. Benefits: Hourly pay is just one part of our total rewards package at xAI. Specific benefits vary by country, depending on your country of residence you may have access to medical benefits. We do not offer benefits for part-time roles.xAI is an equal opportunity employer. California Consumer Privacy Act (CCPA) Notice

false

We're seeking a talented Machine Learning Engineer to lead the development of Agentic AI applications that transform how organizations interact with intelligent automation. You'll be at the forefront of building AI systems that don't just respond—they think, plan, and act autonomously to solve complex workflows.As one of our foundational AI team members, you'll design and deploy cutting-edge Generative AI models that power intelligent document automation and sophisticated agent-based workflows. This isn't just about implementing existing models—you'll be pushing the boundaries of what's possible with autonomous AI agents, creating systems that understand context, make decisions, and execute actions with minimal human intervention.What You'll DoAI Model Development & DeploymentBuild sophisticated agentic AI applications that enable autonomous decision-making and action executionOptimize and fine-tune large language models (LLMs) for specific use cases and performance requirementsDevelop novel approaches to agent reasoning, planning, and tool usageProduction ML SystemsBuild and maintain robust ML pipelines ensuring high performance, scalability, and reliability in productionImplement comprehensive evaluation frameworks to assess the effectiveness of generative models and agent-based solutionsDesign monitoring and feedback systems that enable continuous model improvementOptimize inference performance and cost efficiency at scaleInnovation & ResearchStay ahead of cutting-edge AI advancements, rapidly prototyping and implementing novel solutionsExperiment with emerging agentic frameworks and contribute to the evolution of autonomous AI systemsCollaborate with the research community through open-source contributions and knowledge sharingDrive technical innovation that gives Joist AI competitive advantagesCross-Functional CollaborationPartner with Product and Engineering teams to integrate AI solutions seamlessly into our platformWork with Product Marketing to translate technical capabilities into user-facing value propositionsCollaborate with Customer Success to understand real-world usage patterns and optimization opportunitiesMentor other engineers and contribute to building our AI engineering cultureWhat You BringCore QualificationsDegree in Computer Science, Mathematics, AI, or related technical field5+ years of Machine Learning experience with recent focus on generative AI and autonomous agentsStrong expertise in deep learning frameworks (PyTorch or TensorFlow)Hands-on experience with LLMs (OpenAI, Claude, Mistral, Llama) and diffusion modelsProficiency in Python and experience with agentic libraries (Langraph, LlamaIndex, Crew AI, etc.)Technical ExpertiseDeep understanding of RAG, embeddings, and vector databases (FAISS, Pinecone, Weaviate)Experience with fine-tuning LLMs, prompt engineering, and reinforcement learning techniquesProven track record building AI-driven applications with APIs, cloud platforms, and microservicesStrong problem-solving skills with ability to tackle open-ended, ambiguous challenges independentlyMindset & ApproachPassion for solving complex problems and learning cutting-edge technologiesStrong sense of ownership and pride in delivering high-quality solutionsExcellent collaboration skills and thrives in team environmentsCare deeply about scalability, reliability, and production-ready systemsExperience We'd Be Particularly Excited AboutDeep expertise in NLP, computer vision, or multi-modal AI applicationsProduction experience deploying AI models on AWS (Lambda, Step Functions, S3, RDS)Strong MLOps practices including model monitoring, A/B testing, and continuous improvementOpen-source contributions, Kaggle competitions, or published research in GenAIExperience with agent frameworks and tool-calling mechanismsBackground in distributed systems and high-performance computingWhat We OfferCompetitive salaryFlexible PTO and remote work optionsAccess to latest AI tools, compute resources, and research papersOpportunity to shape the future of autonomous AI applicationsCollaborative, innovation-driven culture with direct access to leadershipConference speaking opportunities and support for open-source contributionsOur Interview ProcessWe conduct a thorough but respectful interview process designed to assess both technical skills and cultural fit:Introductory Call (30 min) – Learn about Joist AI's mission and discuss your background and interestsTechnical Deep Dive (45 min) – Explore your experience with ML systems, agentic AI, and problem-solving approachTake-Home Project – Design and implement a solution that demonstrates your ML engineering skillsProject Review & Team Fit (60 min) – Present your solution, discuss technical decisions, and meet potential teammatesTypical timeline: 2 weeks from application to offerReady to Apply?If you're excited about pioneering the next generation of Agentic AI applications and want to build autonomous systems that genuinely transform how work gets done, we'd love to hear from you.Send your resume along with:A brief note about why you're passionate about AI-driven automationLinks to relevant projects, papers, or open-source contributions (if applicable)What excites you most about building agentic AI systems

false

About usAt Sierra, we’re creating a platform to help businesses build better, more human customer experiences with AI. We are primarily an in-person company based in San Francisco, with growing offices in Atlanta, New York, London, and Singapore.We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. These values are the foundation of our work, and we are committed to upholding them in everything we do.Our co-founders are Bret Taylor and Clay Bavor. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. What you'll doAs a member of our Agent Strategist function at Sierra, you will be responsible for partnering with our Agent Product Managers and Agent Engineers to scope, build, and ship AI agents that handle thousands of customer conversations a day.You’ll play a central role in agent development, combining product strategy, conversational design, and customer insight to bring high-quality agents to life.Be a trusted advisor to our customers and drive their AI strategies.Build, design and refine conversational AI agents, gaining direct exposure to how these products are developed and improved.Drive execution and delivery of multiple complex, high-visibility agent development projects.Coordinate across technical and non-technical stakeholders through the full agent development lifecycle process.Ensure clear communication across all stakeholders while developing strong relationships.Contribute data-driven, strategic insights to customers and internal team decisions.What you'll bringOutstanding Communication Skills: Excellent verbal and written communication skills to convey complex technical information to non-technical stakeholders, fostering collaboration and driving projects forward with clarity.Technical Expertise: Strong understanding of software development, product management and engineering principles, enabling you to act as a strategic partner to customers and internal teams as we turn visionary ideas into agents.Problem-Solving and Analytical Skills: Strong analytical and critical thinking skills to grasp complex concepts, and to identify risks and issues, develop mitigation strategies, and handle unexpected challenges across customer relationships and products.Leadership and Team Management: Proven ability to manage multiple projects simultaneously, leading and inspiring teams to deliver innovative ideas and exceptional agents.Foundational Expertise:Degree in Computer Science, Engineering, Mathematics, a related technical field, or equivalent practical experience that demonstrates comparable expertise is a strong plus.MBA or comparable experience at the intersection of technology and operations is another strong plus.Our valuesTrust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.What we offerWe want our benefits to reflect our values and offer the following to full-time employees:Flexible (Unlimited) Paid Time OffMedical, Dental, and Vision benefits for you and your familyLife Insurance and Disability BenefitsRetirement Plan (e.g., 401K, pension) with Sierra matchParental LeaveFertility and family building benefits through CarrotLunch, as well as delicious snacks and coffee to keep you energized Discretionary Benefit Stipend giving people the ability to spend where it matters mostFree alphorn lessonsThese benefits are further detailed in Sierra's policies and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.Be you, with usWe're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

false

About usAt Sierra, we’re creating a platform to help businesses build better, more human customer experiences with AI. We are primarily an in-person company based in San Francisco, with growing offices in Atlanta, New York, London, and Singapore.We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. These values are the foundation of our work, and we are committed to upholding them in everything we do.Our co-founders are Bret Taylor and Clay Bavor. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. What you’ll doDesign and deliver production-grade AI agents: You'll build and ship highly performant, reliable, and intuitive AI agents that are central, mission-critical and drive revenue directly to Sierra's growth. These aren't prototypes—they are powerful, scalable systems running in production environments across industries like finance, healthcare, and commerce.Drive the Agent Development Life Cycle (ADLC): You'll have complete ownership and autonomy from initial pilot through deployment and continuous iteration. You'll be responsible for building, tuning, and evolving AI agents in production environments, defining the standard for ADLC best practices along the way.Partner with large enterprises and cutting-edge startups: You’ll work directly with leaders at some of the world’s largest enterprises to understand their most pressing business challenges, and build AI agents that transform how they operate at scale. You'll also partner with the most cutting-edge startups in London, embedding AI agents across their entire business stack to drive innovation and efficiency.Build the future of the platform: Your direct work with customers will guide the evolution of Sierra's core platform. You'll surface unmet needs, prototype new tools and features, and collaborate with research, product, and platform to shape the future of AI agent development and Sierra's product.Example projectsThese are some examples of projects that engineers on our team have worked on recently:Design and build AI agents for large telecommunications and media companies that consistently outperform human agents in managing subscription churnDevelop and refine AI agents capable of navigating complex customer interactions, like troubleshooting a broken device and personalizing product recommendationsCreate generalizable AI agent frameworks tailored for industry-specific use cases. See some examples in our financial services blog!Facilitate design partnerships for new product initiatives, such as new agent architectures, self-service capabilities, and generative agent developmentExperiment with the latest voice models and figure out how to integrate them at scale to enterprise-grade customersWhat you'll bringExperience building and scaling end-to-end production systemsStrong technical problem-solving skills, especially in fast-changing, ambiguous environmentsA builder and tinkerer’s mindset with high agency - you find creative ways to overcome obstacles and shipComfort working directly with customers to understand their needs and solve real-world problemsExcellent communication skills - clear, direct, and persuasive across technical and non-technical audiencesEven better...Experience building or deploying AI/LLM systems in productionHave been a founder or founding engineer - you know what it means to balance craft, ownership, and speedFamiliarity with tools that power today's AI agents: eval frameworks, agent tooling, RAG pipelines, and prompt engineeringPrior experience with React, TypeScript, and/or GoPrevious roles where you interfaced with customers or led technical projects with external stakeholdersOur valuesTrust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.What we offerWe want our benefits to reflect our values and offer the following to full-time employees:Flexible (Unlimited) Paid Time OffMedical, Dental, and Vision benefits for you and your familyLife Insurance and Disability BenefitsRetirement Plan (e.g., 401K, pension) with Sierra matchParental LeaveFertility and family building benefits through CarrotLunch, as well as delicious snacks and coffee to keep you energized Discretionary Benefit Stipend giving people the ability to spend where it matters mostFree alphorn lessonsThese benefits are further detailed in Sierra's policies and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.Be you, with usWe're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

false

OverviewHandshake is recruiting First-Line Supervisors of Food Preparation and Serving Worker Professionals to contribute to an hourly, temporary AI research project—but there’s no AI experience needed. In this program, you’ll leverage your professional experience to evaluate what AI models produce in your field, assess content related to your field of work, and deliver clear, structured feedback that strengthens the model’s understanding of your workplace tasks and language. The Handshake AI opportunity runs year-round, with project opportunities opening periodically across different areas of expertise.DetailsThe position is remote and asynchronous; work independently from wherever you are.The hours are flexible, with no minimum commitment, but most average 5-20 hrsThe work includes developing prompts for AI models that reflect your field, and then evaluating responses.You’ll learn new skills and contribute to how AI is used in your fieldYour placement into a project will be dependent on project availability—if you apply now and can’t work on this project, more will be available soon.QualificationsYou have at least 4 years of professional experience in one or more of the following types of work.The examples below reflect the types of real-world responsibilities that you might have had in your role that will give you the context needed to evaluate and train high-quality AI modelsResolve customer complaints regarding food service.Train workers in food preparation and in service, sanitation, and safety procedures.Assign duties, responsibilities, and work stations to employees in accordance with work requirements.Present bills and accept payments.Perform various financial activities, such as cash handling, deposit preparation, and payroll.Supervise and participate in kitchen and dining area cleaning activities.Recommend measures for improving work procedures and worker performance to increase service quality and enhance job safety.Specify food portions and courses, production and time sequences, and workstation and equipment arrangements.Control inventories of food, equipment, smallware, and liquor, and report shortages to designated personnel.Observe and evaluate workers and work procedures to ensure quality standards and service, and complete disciplinary write-ups.Analyze operational problems, such as theft and wastage, and establish procedures to alleviate these problems.Inspect supplies, equipment, and work areas to ensure efficient service and conformance to standards.Greet and seat guests, and present menus and wine lists.Evaluate new products for usefulness and suitability.Compile and balance cash receipts at the end of the day or shift.Forecast staff, equipment, and supply requirements based on a master menu.Assess nutritional needs of patients, plan special menus, supervise the assembly of diet trays, and oversee the delivery of food trolleys to hospital patients.Record production, operational, and personnel data on specified forms.Perform personnel actions such as hiring and firing staff, providing orientation and training, and creating work schedules or organizing time sheets.Estimate ingredients and supplies required to prepare a recipe.Purchase or requisition supplies and equipment to ensure quality and timely service delivery.Perform food preparation and serving duties, such as carving meat, preparing flambé dishes, or serving wine and liquor.Schedule parties and take reservations.Develop departmental objectives, budgets, policies, procedures, and strategies.Conduct meetings and collaborate with other personnel for menu planning, serving arrangements, and related details.Develop equipment maintenance schedules and arrange for repairs.You’re able to participate in asynchronous work in partnership with leading AI labs.Application ProcessCreate a Handshake accountUpload your resume and verify your identityGet matched and onboarded into relevant projectsStart working and earningWork authorization informationF-1 students who are eligible for CPT or OPT may be eligible for projects on Handshake AI. Work with your Designated School Official to determine your eligibility. If your school requires a CPT course, Handshake AI may not meet your school’s requirements. STEM OPT is not supported. See our Help Center article for more information on what types of work authorizations are supported on Handshake AI.

false

Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of the company is to ship humanoid robots with human level intelligence. Its robots are engineered to perform a variety of tasks in the home and commercial markets. Figure is headquartered in San Jose, CA. Figure’s vision is to deploy autonomous humanoids at a global scale. Our Helix team is looking for an experienced Training Infrastructure Engineer, to take our infrastructure to the next level. This role is focused on managing the training cluster, implementing distributed training algorithms, data loaders, and developer tools for AI researchers. The ideal candidate has experience building tools and infrastructure for a large-scale deep learning system. Responsibilities Design, deploy, and maintain Figure's training clusters Architect and maintain scalable deep learning frameworks for training on massive robot datasets Work together with AI researchers to implement training of new model architectures at a large scale Implement distributed training and parallelization strategies to reduce model development cycles Implement tooling for data processing, model experimentation, and continuous integration Requirements Strong software engineering fundamentals Bachelor's or Master's degree in Computer Science, Robotics, Engineering, or a related field Experience with Python and PyTorch Experience managing HPC clusters for deep neural network training Minimum of 4 years of professional, full-time experience building reliable backend systems Bonus Qualifications Experience managing cloud infrastructure (AWS, Azure, GCP) Experience with job scheduling / orchestration tools (SLURM, Kubernetes, LSF, etc.) Experience with configuration management tools (Ansible, Terraform, Puppet, Chef, etc.) The US base salary range for this full-time position is between $150,000 - $350,000 annually. The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.

false

OverviewHandshake is recruiting Food Service Manager Professionals to contribute to an hourly, temporary AI research project—but there’s no AI experience needed. In this program, you’ll leverage your professional experience to evaluate what AI models produce in your field, assess content related to your field of work, and deliver clear, structured feedback that strengthens the model’s understanding of your workplace tasks and language. The Handshake AI opportunity runs year-round, with project opportunities opening periodically across different areas of expertise.DetailsThe position is remote and asynchronous; work independently from wherever you are.The hours are flexible, with no minimum commitment, but most average 5-20 hrsThe work includes developing prompts for AI models that reflect your field, and then evaluating responses.You’ll learn new skills and contribute to how AI is used in your fieldYour placement into a project will be dependent on project availability—if you apply now and can’t work on this project, more will be available soon.QualificationsYou have at least 4 years of professional experience in one or more of the following types of work.The examples below reflect the types of real-world responsibilities that you might have had in your role that will give you the context needed to evaluate and train high-quality AI modelsCount money and make bank deposits.Establish standards for personnel performance and customer service.Keep records required by government agencies regarding sanitation or food subsidies.Schedule staff hours and assign duties.Investigate and resolve complaints regarding food quality, service, or accommodations.Maintain food and equipment inventories and keep inventory records.Perform food preparation or service tasks as needed, such as cooking, clearing tables, and serving food and drinks.Monitor budgets and payroll records, and review financial transactions to ensure expenditures are authorized and budgeted.Schedule and receive food and beverage deliveries, verifying product quality and quantity.Coordinate assignments of cooking personnel to ensure economical food use and timely preparation.Organize and direct worker training programs, resolve personnel issues, hire staff, and evaluate employee performance.Assess staffing needs and recruit employees through advertisements, job fairs, or other methods.Estimate food, liquor, wine, and beverage consumption to anticipate purchasing needs.Monitor food preparation methods, portion sizes, garnishing, and presentation standards.Ensure compliance with health and fire regulations related to food service and facility maintenance.Test cooked food by tasting and smelling to ensure quality and flavor standards.Order and purchase equipment and supplies.Review work procedures and operational issues to improve service, performance, or safety.Arrange equipment maintenance and repairs, and coordinate services such as waste removal and pest control.Monitor employee and patron activities to ensure compliance with liquor regulations.Greet guests, escort them to seats, and present menus and wine lists.Record the number, type, and cost of items sold to identify unprofitable or unpopular items.Plan menus and food utilization based on guest volume, nutrition, popularity, and cost.Review menus and analyze recipes to determine labor and overhead costs and set menu prices.Take dining reservations.Create specialty dishes and develop recipes for dining facilities.Schedule use of facilities or catering services for events and negotiate arrangements with clients.Establish and enforce nutritional standards based on accepted industry guidelines.You’re able to participate in asynchronous work in partnership with leading AI labs.Application ProcessCreate a Handshake accountUpload your resume and verify your identityGet matched and onboarded into relevant projectsStart working and earningWork authorization informationF-1 students who are eligible for CPT or OPT may be eligible for projects on Handshake AI. Work with your Designated School Official to determine your eligibility. If your school requires a CPT course, Handshake AI may not meet your school’s requirements. STEM OPT is not supported. See our Help Center article for more information on what types of work authorizations are supported on Handshake AI.

false

About the Science TeamAt the heart of Maki People, the Science team is shaping the future of hiring through innovation, rigour, and collaboration. Led by our Head of Science, Aiden Loe, and working closely with our COO, Paul-Louis Caylar, this team drives the development of high-quality content that sets our platform apart.We don’t just create and validate assessments—we innovate. Our work spans:Expanding a cutting-edge library of tests and tools.Designing bespoke activities and experiences for clients.Evaluating and refining AI-driven scoring algorithms and large language models (LLMs) to ensure fairness, accuracy, and transparency.Leveraging psychometric expertise to build reliable, valid, and impactful assessments.Developing tools that analyse candidate and job data to predict performance and potential with precision.Supporting clients in using assessment data to optimise their workforce strategies, from talent acquisition to development and retention.Leading original studies to explore emerging psychological and technological trends and sharing insights through publications, presentations, and client reports.Collaborating with regulatory bodies and industry leaders to establish new standards in ethical AI use and hiring practices.Equipping internal teams and clients with the knowledge and skills needed to understand and apply psychological and AI-driven insights effectively.As Maki continues to grow, the Science team is central to understanding user experiences, refining assessments, and driving broader adoption—all while upholding the highest scientific standards.Your impact as a Senior Business Psychologist will go beyond day-to-day responsibilities— you’ll be a key partner in shaping the future of recruitment while driving exceptional outcomes for our clients.About the RoleApply psychological theories and methodologies to improve our assessment and selection proceduresConduct research and analysis to identify key psychological factors and competencies relevant to various job roles and industriesCreating custom assessments and competency frameworks tailored to client needs and psychometric standardsEnsure that our test bank is diverse, inclusive, and covers the core competencies aligned with the future of work.Building strong client relationships, guiding them through the assessment lifecycle—from needs analysis to results interpretationWorking closely with Onboarding, Customer Success, Psychometricians and Assessment Operations to ensure high-quality, scalable, and impactful assessmentsCommunicating validation studies and statistical insights in clear, actionable ways for non-technical audiencesShare insights and information to external stakeholders on how AI technologies are integrated into our assessments, highlighting their purpose, functionality, and impactEnsuring that test development and AI-driven hiring systems adhere to the highest ethical and compliance standards.Assist in training and educating internal teams on psychological best practices in talent acquisitionStay updated on I/O psychology and AI research, applying insights to product development.Contributing to the completion of client proposals by providing expert input on science-related matters, ensuring the scientific rigor, validity, and innovation of our solutions are effectively communicated to win key deals.Represent Maki People by presenting actionable insights and findings at key industry conferences, bridging scientific rigor with practical business applications.Our ideal candidateExperience in job analysis and developing competency frameworks for clients.Excellent understanding of AI applications in assessments.Deep understanding of ethical considerations and compliance standards in the development and application of assessments, especially those integrating AI technologies.Proven ability to translate technical concepts for diverse audiences, advocating for an evidence-based approachin business discussions.Expert knowledge in assessment design, validation studies, and psychometric methods.Strong interpersonal and relationship-building skills to effectively collaborate with internal teams, clients, and external stakeholders.Advanced research skills to design and execute studies that drive innovative assessment solutions and contribute to thought leadership.Proven ability to manage multiple projects simultaneously, ensuring timely delivery and adherence to quality standards.Familiarity with industry-specific challenges and trends, enabling the customisation of assessments to diverse sectors and job roles.Strong writing skills for creating professional documentation, including technical reports, white papers, and client-facing materials.Experience with data analysis or programming tools (e.g. SPSS, JASP, Mplus, R, Python) for psychometric analysis and research.Strong knowledge of test content creation and review processes.Expertise in assessment design and item-writing best practices, ensuring cultural fairness and minimizing bias in assessments.Comfortable with public speaking and presenting findings at conferences, webinars, and client meetings to represent the organisation effectively.Awareness of diversity, equity, and inclusion principles, applying them to ensure assessments promote fair and unbiased hiring decisions.Understanding automated scoring systems and their ethical considerations.Application ProcessStage 1 - Screening assessment (20 mins)Stage 2 - Hiring manager interview (45 min)Stage 3 - Power skill assessment with our AI agent (15 min)Stage 4 - Executive interview (45 min)Stage 5 - Deep-dive technical interview (60 min)Stage 6 - Interview with Co-founder (30 min)

false

About the role We’re hiring an AI Architect to sit at the intersection of frontier AI research, product, and go-to-market. You’ll partner closely with ML teams in high-stakes meetings, scope and pitch solutions to top AI labs, and translate research needs (post-training, evals, alignment) into clear product roadmaps and measurable outcomes. You’ll drive end-to-end delivery—partnering with AI research teams and core customers to scope, pilot, and iterate on frontier model improvements—while coordinating with engineering, ops, and finance to translate cutting-edge research into deployable, high-impact solutions. What you’ll do Translate research → product: work with client side researchers on post-training, evals, safety/alignment and build the primitives, data, and tooling they need. Partner deeply with core customers and frontier labs: work hands-on with leading AI teams and frontier research labs to tackle hard, open-ended technical problems related to frontier model improvement, performance, and deployment. Shape and propose model improvement work: translate customer and research objectives into clear, technically rigorous proposals—scoping post-training, evaluation, and safety work into well-defined statements of work and execution plans. Translate research into production impact: collaborate with customer-side researchers on post-training, evaluations, and alignment, and help design the data, primitives, and tooling required to improve frontier models in practice. Own the end-to-end lifecycle: lead discovery, write crisp PRDs and technical specs, prioritize trade-offs, run experiments, ship initial solutions, and scale successful pilots into durable, repeatable offerings. Lead complex, high-stakes engagements: independently run technical working sessions with senior customer stakeholders; define success metrics; surface risks early; and drive programs to measurable outcomes. Partner across Scale: collaborate closely with research (agents, browser/SWE agents), platform, operations, security, and finance to deliver reliable, production-grade results for demanding customers. Build evaluation rigor at the frontier: design and stand up robust evaluation frameworks (e.g., RLVR, benchmarks), close the loop with data quality and feedback, and share learnings that elevate technical execution across accounts. You have Deep technical background in applied AI/ML: 5–10+ years in research, engineering, solutions engineering, or technical product roles working on LLMs or multimodal systems, ideally in high-stakes, customer-facing environments. Hands-on experience with model improvement workflows: demonstrated experience with post-training techniques, evaluation design, benchmarking, and model quality iteration. Ability to work on hard, ambiguous technical problems: proven track record of partnering directly with advanced customers or research teams to scope, reason through, and execute on deep technical challenges involving frontier models. Strong technical fluency: you can read papers, interrogate metrics, write or review complex Python/SQL for analysis, and reason about model-data trade-offs. Executive presence with world-class researchers and enterprise leaders; excellent writing and storytelling. Bias to action: you ship, learn, and iterate. How you’ll work Customer-obsessed: start from real research needs; prototype quickly; validate with data. Cross-functional by default: align research, engineering, ops, and GTM on a single plan; communicate clearly up and down. Field-forward: expect regular customer time and research leads; light travel as needed. What success looks like Clear wins with top labs: pilots that convert to scaled programs with strong eval signals. Reusable alignment & eval building blocks that shorten time-to-value across accounts. Crisp internal docs (PRDs, experiment readouts, exec updates) that drive decisions quickly. 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:$190,000—$230,000 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, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. 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 Science TeamAt the heart of Maki People, the Science team is shaping the future of hiring through innovation, rigour, and collaboration. Led by our Head of Science, Aiden Loe, and working closely with our COO, Paul-Louis Caylar, this team drives the development of high-quality content that sets our platform apart.We don’t just create and validate assessments—we innovate. Our work spans:Expanding a cutting-edge library of tests and tools.Designing bespoke activities and experiences for clients.Evaluating and refining AI-driven scoring algorithms and large language models (LLMs) to ensure fairness, accuracy, and transparency.Leveraging psychometric expertise to build reliable, valid, and impactful assessments.Developing tools that analyze candidate and job data to predict performance and potential with precision.Supporting clients in using assessment data to optimize their workforce strategies, from talent acquisition to development and retention.Leading original studies to explore emerging psychological and technological trends and sharing insights through publications, presentations, and client reports.Collaborating with regulatory bodies and industry leaders to establish new standards in ethical AI use and hiring practices.Equipping internal teams and clients with the knowledge and skills needed to understand and apply psychological and AI-driven insights effectively.As Maki continues to grow, the Science team is central to understanding user experiences, refining assessments, and driving broader adoption—all while upholding the highest scientific standards.Your impact as a Senior Psychometrician will go beyond day-to-day responsibilities— you’ll be a key partner in shaping the future of recruitment while driving exceptional outcomes for our clients.About the RoleDesign, create and validate psychometric assessments optimised for AI integration, ensuring tools are scientifically rigorous and actionable.Exploring new ways of generating and evaluating assessments by integrating psychometrics with machine learning algorithms.Perform complex analyses, focusing on item calibration, test equating, norming, distractor analysis, fairness evaluation, reliability and validation studies.Develop and refine automated scoring algorithms to provide precise and unbiased candidate evaluations.Monitor assessments for potential bias and ensure adherence to ethical guidelines and best practices.Conduct research to identify novel psychometric solutions that enhance the functionality and effectiveness of AI-driven talent assessments.Implement improvements to existing assessments, leveraging the latest psychometric advancements to enhance candidate engagement and experience.Serve as a thought leader in integrating AI and psychometrics, keeping the team informed about the latest innovations and industry trends.Develop documentation, including test manuals, technical reports, and white papers, to communicate the scientific foundations, methodologies, and validity evidence of assessments to external stakeholders.Contribute to developing resources and educational materials that help clients understand AI-enhanced assessments and their implications.Publish innovative research in high-impact academic journals, and represent Maki People by presenting findings at key conferences.Collaborate with cross-functional teams, including I/O psychologists, AI researchers, and software developers, to seamlessly embed assessments into our platform.Translate complex psychometric findings into clear, actionable insights for clients and external partners.Our Ideal CandidateProven academic publication record in psychometrics or related fields, advancing assessment methodologies.Experience in test design for diverse applications, including custom solutions tailored to client needs.Ability to design, develop, and implement automated scoring systems, ensuring accuracy and fairness.Expertise in conducting complex statistical analyses.Deep knowledge of psychometric methods such as factor analysis, SEM, CTT, IRT, CAT, and test equating.Experience in AI/ML applications for assessment, such as prediction modelling and person-job fit analysis.Strong technical documentation and research writing skills.Robust validation study expertise, ensuring assessment reliability, validity, and practical relevance.Proficiency in automated item generation and recalibration, optimising item pools.Strong knowledge on integrating emerging technologies like large language models (LLMs) into psychometric assessment practicesExperience with programming languages such as R, Python, Julia, or similar, and proficiency in statistical software like SPSS, SAS, JASP, Mplus, or equivalent tools.Good working knowledge of working with cloud databases, such as BigQuery, with expertise in extracting and analysing relevant data.Additional ExpertiseStrong understanding of ethical considerations in data governance, AI fairness, and compliance.A proven track record in multi-team collaboration, particularly with software developers and content teams.Skilled in data visualisation and reporting, turning statistical insights into actionable recommendations.Demonstrated ability to present complex concepts persuasively in business discussions.Application ProcessStage 1 - Screening assessment (20 mins)Stage 2 - Hiring manager interview (45 min)Stage 3 - Power skill assessment with our AI agent (15 min)Stage 4 - Executive interview (45 min)Stage 5 - Deep-dive technical interview (60 min)Stage 6 - Interview with Co-founder (30 min)

false

About Arize AI is rapidly transforming the world. As generative AI reshapes industries, teams need powerful ways to monitor, troubleshoot, and optimize their AI systems. That’s where we come in. Arize AI is the leading AI & Agent Engineering observability and evaluation platform, empowering AI engineers to ship high-performing, reliable agents and applications. From first prototype to production scale, Arize AX unifies build, test, and run in a single workspace—so teams can ship faster with confidence. We’re a Series C company backed by top-tier investors, with over $135M in funding and a rapidly growing customer base of 150+ leading enterprises and Fortune 500 companies. Customers like Booking.com, Uber, Siemens, and PepsiCo leverage Arize to deliver AI that works.Note: The nature of this role requires candidates to be based in the Buenos Aires area, though there isn't an in-office requirement. The Opportunity We’re looking for an Application Engineer who thrives on solving hard problems with code. In this role, you'll have the opportunity to work at the cutting edge of generative AI in a high-impact role with autonomy and ownership. What You’ll Do Debug and fix issues in our platform (and ship PRs with your fixes). Build internal tools and copilots powered by generative AI to supercharge our team. Rapidly prototype proof-of-concepts for customer use cases. Work across Engineering, Product, and Solutions to unblock customers and push the boundaries of AI adoption. What We’re Looking For You have 2-5 years of experience in software. Strong in Python and Golang; comfortable shipping fixes in production systems. Hands-on with generative AI (LLM APIs, frameworks, building copilots or automations) Hands-on with OpenTelimetry and deep familiarity with distributed tracing concepts. Familiarity with AI frameworks (CrewAI, Langchain, Langgraph, DiFy, LiteLLM, etc). Familiarity or eagerness to learn JavaScript/TypeScript. Great debugger, creative problem solver, and fast learner. Independent and resourceful. You create solutions, not dependencies. Bonus Points (but not required!) Experience in a customer-facing role Built copilots, plugins, or custom GenAI-powered applications. Open-sourced or contributed PRs to real codebases. Startup or fast-moving environment experience. 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 unlimited paid time off, generous parental leave plan, and others for mental and wellness support.More About Arize Arize’s mission is to make the world’s AI work—and work for people. Our founders came together through a shared frustration: while investments in AI are growing rapidly across every industry, organizations face a critical challenge—understanding whether AI is performing and how to improve it at scale. Learn more about what we're doing here: https://techcrunch.com/2025/02/20/arize-ai-hopes-it-has-first-mover-advantage-in-ai-observability/ https://arize.com/blog/arize-ai-raises-70m-series-c-to-build-the-gold-standard-for-ai-evaluation-observability/ 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

Work With UsAt Liquid, we’re not just building AI models—we’re redefining the architecture of intelligence itself. Spun out of MIT, our mission is to build efficient AI systems at every scale. Our Liquid Foundation Models (LFMs) operate where others can’t: on-device, at the edge, under real-time constraints. We’re not iterating on old ideas—we’re architecting what comes next.We believe great talent powers great technology. The Liquid team is a community of world-class engineers, researchers, and builders creating the next generation of AI. Whether you're helping shape model architectures, scaling our dev platforms, or enabling enterprise deployments—your work will directly shape the frontier of intelligent systems.While San Francisco and Boston are preferred, we are open to other remote locations.This Role Is For You If:You have experience with machine learning at scaleYou have worked with audio models and understand the effects of architecture choices on runtime, latency, and qualityYou’re proficient in PyTorch, and familiar with distributed training frameworks like DeepSpeed, FSDP, or Megatron-LMYou’ve worked with multimodal data (e.g. audio, text, image, video)You’ve contributed to research papers, open-source projects, or production-grade multimodal model systemsYou understand how data quality, augmentations, and preprocessing pipelines can significantly impact model performance—and you’ve built tooling to support thatYou enjoy working in interdisciplinary teams across research, systems, and infrastructure, and can translate ideas into high-impact implementationsDesired Experience:You’ve designed and trained multimodal language models, or specialized audio models (e.g. ASR, TTS, voice conversion, vocoders, diarization)You care deeply about empirical performance, and know how to design, run, and debug large-scale training experiments on distributed GPU clustersYou’ve developed audio encoders or decoders, or integrated them into language pretraining pipelines with autoregressive or generative objectivesYou have experience working with large-scale audio datasets, understand the unique challenges they pose, and can manage massive datasets effectivelyYou have strong programming skills in Python, with an emphasis on writing clean, maintainable, and scalable codeWhat You'll Actually Do:Invent and prototype new model architectures that optimize inference speed, including on edge devicesBuild and maintain evaluation suites for multimodal performance across a range of public and internal tasksCollaborate with the data and infrastructure teams to build scalable pipelines for ingesting and preprocessing large audio datasetsWork with the infrastructure team to optimize model training across large-scale GPU clustersContribute to publications, internal research documents, and thought leadership within the team and the broader ML communityCollaborate with the applied research and business teams on client-specific use casesWhat You'll Gain:A front-row seat in building some of the most capable Speech Language ModelsAccess to world-class infrastructure, a fast-moving research team, and deep collaboration across ML, systems, and productThe opportunity to shape multimodal foundation model research with both scientific rigor and real-world impactAbout Liquid AISpun out of MIT CSAIL, we’re a foundation model company headquartered in Boston. Our mission is to build capable and efficient general-purpose AI systems at every scale—from phones and vehicles to enterprise servers and embedded chips. Our models are designed to run where others stall: on CPUs, with low latency, minimal memory, and maximum reliability. We’re already partnering with global enterprises across consumer electronics, automotive, life sciences, and financial services. And we’re just getting started.

false

About the Science TeamAt the heart of Maki People, the Science team is shaping the future of hiring through innovation, rigour, and collaboration. Led by our Head of Science, Aiden Loe, and working closely with our COO, Paul-Louis Caylar, this team drives the development of high-quality content that sets our platform apart.We don’t just create and validate assessments—we innovate. Our work spans:Expanding a cutting-edge library of tests and tools.Designing bespoke activities and experiences for clients.Evaluating and refining AI-driven scoring algorithms and large language models (LLMs) to ensure fairness, accuracy, and transparency.Leveraging psychometric expertise to build reliable, valid, and impactful assessments.Developing tools that analyze candidate and job data to predict performance and potential with precision.Supporting clients in using assessment data to optimize their workforce strategies, from talent acquisition to development and retention.Leading original studies to explore emerging psychological and technological trends and sharing insights through publications, presentations, and client reports.Collaborating with regulatory bodies and industry leaders to establish new standards in ethical AI use and hiring practices.Equipping internal teams and clients with the knowledge and skills needed to understand and apply psychological and AI-driven insights effectively.As Maki continues to grow, the Science team is central to understanding user experiences, refining assessments, and driving broader adoption—all while upholding the highest scientific standards.Your impact as a People Scientist will go beyond day-to-day responsibilities— you’ll be a key partner in shaping the future of recruitment while driving exceptional outcomes for our clients.About the RoleThe People Scientist works at the intersection of psychometrics, AI, and research, ensuring that Maki’s automated scoring systems are scientifically robust, fair, and continuously improving.1. Selection & Evaluation of AI & Psychometric ModelsAssess the statistical accuracy and reliability of LLMs used for automated scoring (e.g., structured grid methods; job-specific skills; multi-lingual proficiency tests - written and spoken).Compare and validate STT/TTS models and assess their downstream impact on candidate scores.Continuously identify and evaluate emerging LLM, STT, and TTS models to optimise scoring precision and efficiency.Evaluate and calibrate psychometric models (e.g., CTT, IRT, CFA) to ensure the scientific validity and comparability of AI-scored assessments across populations and test forms.2. Human-AI Comparison & Hybrid Evaluation ModelsDesign research comparing AI-scored assessments with expert human judgments to ensure validity and alignment.Benchmark semantic and embedding models (e.g., BERT, GPT-4, MPNet, DeepSeek) for diverse assessment types.Develop hybrid scoring pipelines combining human oversight and AI-driven analytics.3. Bias & Fairness AnalysisDetect and analyse potential biases in AI-generated or psychometric scores across demographic groups.Apply fairness and bias-mitigation techniques (e.g., reweighting, calibration, subgroup analysis) while maintaining model performance integrity.Contribute to internal fairness dashboards and compliance documentation, supporting transparent model governance.Continuously evaluate model generalisability and fairness to ensure all predictive algorithms adhere to ethical and scientific standards.4. Predictive Analytics & Performance InsightsWork with large-scale assessment and performance datasets to model relationships between candidate scores, job performance, and retention outcomes.Develop and test predictive models that estimate success probabilities or identify key behavioural and linguistic predictors of performance.Collaborate with data science, implementation and customer success teams to translate insights into actionable recommendations for clients and internal stakeholders.5. Ongoing Model Monitoring & Issue ResolutionInvestigate anomalies raised by clients or internal QA.Conduct diagnostic analyses and recommend evidence-based improvements.6. Technical Research Combining AI & PsychometricsExplore fine-tuning, prompt-engineering, and evaluation methods to enhance model performance.Translate technical findings into actionable insights for non-technical stakeholders.Prepare and disseminate research through internal reports, publications, or conferences.Eventually as one of the early employee of MakiPeople, you'll be be able to shape the future of the team. We share as much ownership on the way we work and on the product itself as we can as we're convinced our success is 99% due to our team.Our Ideal CandidateAdvanced degree (PhD/MSc) in Data Science, Machine Learning, Psychometrics, Computational Linguistics, or Psychology.Proven expertise in AI model evaluation, psychometric validation, and statistical analysis.Basic knowledge of psychometric modelling (e.g., IRT, CFA, CAT) and its application in assessment design and validation.Familiarity with LLMs and NLP techniques used for automated assessment and scoring.Experience applying fairness and bias testing methodologies in AI-driven decisions.Skilled in validation research ensuring reliability, construct validity, and practical relevance of assessments.Proficiency in Python or R and experience with statistical software (e.g., SPSS, Mplus, JASP) and cloud databases (e.g., BigQuery).Strong grounding in ethical AI, data governance, and compliance.Experienced in collaborating across teams (engineering, product, content) and communicating insights clearly to both scientific and business audiences.Skilled in data visualisation and research writing, with a track record of publications or applied studies.Application ProcessStage 1 - Screening assessment (20 mins)Stage 2 - Hiring manager interview (45 min)Stage 3 - Power skill assessment with our AI agent (15 min)Stage 4 - Executive interview (45 min)Stage 5 - Deep-dive technical interview (60 min)Stage 6 - Interview with Co-founder (30 min)

false

OverviewHandshake is recruiting Medical Transcriptionist Professionals to contribute to an hourly, temporary AI research project—but there’s no AI experience needed. In this program, you’ll leverage your professional experience to evaluate what AI models produce in your field, assess content related to your field of work, and deliver clear, structured feedback that strengthens the model’s understanding of your workplace tasks and language. The Handshake AI opportunity runs year-round, with project opportunities opening periodically across different areas of expertise.DetailsThe position is remote and asynchronous; work independently from wherever you are.The hours are flexible, with no minimum commitment, but most average 5-20 hrsThe work includes developing prompts for AI models that reflect your field, and then evaluating responses.You’ll learn new skills and contribute to how AI is used in your fieldYour placement into a project will be dependent on project availability—if you apply now and can’t work on this project, more will be available soon.QualificationsYou have at least 4 years of professional experience in one or more of the following types of work.The examples below reflect the types of real-world responsibilities that you might have had in your role that will give you the context needed to evaluate and train high-quality AI modelsReturn dictated reports in printed or electronic form for physician's review, signature, and corrections and for inclusion in patients' medical records.Produce medical reports, correspondence, records, patient-care information, statistics, medical research, and administrative material.Identify mistakes in reports and check with doctors to obtain the correct information.Review and edit transcribed reports or dictated material for spelling, grammar, clarity, consistency, and proper medical terminology.Transcribe dictation for a variety of medical reports, such as patient histories, physical examinations, emergency room visits, operations, chart reviews, consultation, or discharge summaries.Distinguish between homonyms and recognize inconsistencies and mistakes in medical terms, referring to dictionaries, drug references, and other sources on anatomy, physiology, and medicine.Set up and maintain medical files and databases, including records such as x-ray, lab, and procedure reports, medical histories, diagnostic workups, admission and discharge summaries, and clinical resumes.Translate medical jargon and abbreviations into their expanded forms to ensure the accuracy of patient and health care facility records.Perform data entry and data retrieval services, providing data for inclusion in medical records and for transmission to physicians.Take dictation using shorthand, a stenotype machine, or headsets and transcribing machines.Perform a variety of clerical and office tasks, such as handling incoming and outgoing mail, completing and submitting insurance claims, typing, filing, or operating office machines.Decide which information should be included or excluded in reports.Receive and screen telephone calls and visitors.Receive patients, schedule appointments, and maintain patient records.Answer inquiries concerning the progress of medical cases, within the limits of confidentiality laws.Application ProcessCreate a Handshake accountUpload your resume and verify your identityGet matched and onboarded into relevant projectsStart working and earningWork authorization informationF-1 students who are eligible for CPT or OPT may be eligible for projects on Handshake AI. Work with your Designated School Official to determine your eligibility. If your school requires a CPT course, Handshake AI may not meet your school’s requirements. STEM OPT is not supported. See our Help Center article for more information on what types of work authorizations are supported on Handshake AI.

false

We are hiring AI deployment architects to configure, deploy, and evolve our agents for enterprise customers. This role sits at the intersection of product, engineering, and customer delivery ; you will translate business requirements into robust configurations, ensure each deployment reflects client needs, and iterate rapidly to maintain high performance and system stability.You will be a primary technical partner to our customers, guiding them through configuration decisions, troubleshooting complex behaviors, and shaping how they design and operationalize AI-driven screening. You will also act as a critical feedback conduit between the field and the product team, surfacing patterns that should be platformized and validating new capabilities with real-world customers.This is a highly technical & hands-on role. As deployments accelerate across industries and geographies, you will help define the standards, tools, and best practices that make our agents scalable.What you will doConfiguration and deploymentBuild and adapt screening flows based on customer jobs and requirements.Configure state prompts, tone parameters, voice selection, transitions, and conditional logic.Set up and maintain custom vocabularies for ASR when relevant.Prepare and run demos; support pilot implementations from start to finish.Troubleshooting and iterationAnalyze conversation transcripts and identify sources of errors or drift.Run isolated state tests for targeted debugging.Iterate rapidly on prompts and configurations to improve performance.Use SQL to investigate behavioral patterns, identify systemic issues, and validate improvements.Client partnershipAdvise customers on screening design, personas, and best practices for AI-driven interviews.Communicate technical concepts, limitations, and trade-offs clearly.Manage expectations during pilots; build structured feedback loops that drive continuous improvement.Act as a trusted guide throughout deployment and iteration cycles.Product collaborationSurface recurring field issues that should become productized solutions.Contribute insights that shape new configuration surfaces, evaluation tools, and system-level capabilities.Partner with product and engineering teams to test new features with selected customers and validate readiness for scale.What makes this role uniqueYou sit closest to real-world usage; your insights will directly shape how our agents evolve.You bridge product and customer needs, ensuring enterprise deployments remain robust, predictable, and high performing.You influence how AI-driven hiring is operationalized across the world’s leading companies.You will help define repeatable playbooks, tools, and standards that allow the deployment function to scale.As the first hire fully dedicated to this function, you will shape the boundaries of the role itself and set the industry bar for what excellence looks like in full-deployment engineering for conversational AI.Preferred experienceExperienceGraduated from top engineering school or business/engineering dual-degreePrior client-facing technical experience, ideally supporting enterprise implementations.Technical skillsHands-on work with conversational AI, LLM prompting, applied ML models, or workflow-based configuration.Ability to debug state logic, model outputs, and configuration inconsistencies.SQL proficiency for analytics and performance investigation.Comfort with light scripting and structured configuration formats.Analytical and product mindsetStrong ability to reason about system constraints and edge cases.Ability to distinguish between local configuration work and product-level feature needs.Structured approach to experimentation and iteration.Client-facing abilitiesClear and concise communication with both technical and non-technical stakeholders.Ability to present, educate, and manage expectations during pilots and demos.Confidence in advising customers and steering conversations.Recruitment processStage 1 - Screening call with our agent (15 min)Stage 2 - Hiring manager interview (45 min)Stage 2 - Implementation lead interview (45 min)Stage 3 - Deep-dive technical interview (60 min)Stage 4 - Founder interview (45 min)Stage 5 - Offer and alignment discussion