Thought Machine jobs

Software Engineering Intern US/Canada American factories deserve a supply chain that moves as fast as they do. The next generation of American manufacturing is being built right now. Nox Metals is the supply chain behind it. We use software and automation to supply metal to American factories faster than the industry thought possible. Nox Metals went thru YC Summer 2025. Software Engineer Intern This is a real software engineering internship. You will own meaningful projects from design to deployment, and the code you write will run on the factory floor. No coffee runs, no shadowing. Your work ships to production and controls how real metal gets cut on real machines. You will: - Design, build, test, and ship features across the systems that run our factory, from the floor command center to the nesting engine to the customer portal - Write code that deploys to the floor and controls how metal gets cut, tracked, and delivered - Debug, profile, and harden production systems that cannot go down in the middle of a shift - Sit next to the engineers and operators running the machines and watch your software hit the real world the same day you ship it - Take big problems off senior engineers' plates and own them end to end You should be: - Pursuing a degree in computer science, software engineering, or a related field, or able to prove you can build without one - Strong in data structures, algorithms, and at least one language (Python, TypeScript,

Senior Applied Scientist , Buyer Risk Prevention (BRP) Bengaluru, Karnataka, IND Do you want to lead the development of advanced machine learning systems that protect millions of customers and power a trusted global eCommerce experience? Are you passionate about modeling terabytes of data, solving highly ambiguous fraud and risk challenges, and driving step-change improvements through scientific innovation? If so, the Amazon Buyer Risk Prevention (BRP) Machine Learning team may be the right place for you. We are seeking a Senior Applied Scientist to define and drive the scientific direction of large-scale risk management systems that safeguard millions of transactions every day. In this role, you will lead the design and deployment of advanced machine learning solutions, influence cross-team technical strategy, and leverage emerging technologies-including Generative AI and LLMs-to build next-generation risk prevention platforms. Key job responsibilities Lead the end-to-end scientific strategy for large-scale fraud and risk modeling initiatives Define problem statements, success metrics, and long-term modeling roadmaps in partnership with business and engineering leaders Design, develop, and deploy highly scalable machine learning systems in real-time production environments Drive innovation using advanced ML, deep learning, and GenAI/LLM technologies to automate and transform risk evaluation Influence system architecture and partner with engineering teams to ensure robust, scalable implementations Establish best practices for experimentation, model validation, monitoring, and lifecycle management Mentor and raise the technical bar for junior scientists through reviews, technical guidance, and thought leadership Communicate complex scientific insights clearly to senior leadership and cross-functional stakeholders Identify emerging scientific trends and translate

Member of Technical Staff, Tech Lead San Francisco, CA, San Francisco, California, United States, New York, NY TL;DR: Listen teaches AI what people actually think and want. We're Sequoia-backed, raised $100M, and our customers include Anthropic, Google, and Cursor. We're hiring engineers who can build a complex AI-native product on a small team of former founders and top-tier builders. Background As AI gets better at building things, the bottleneck shifts to knowing what to build. We're the bridge between AI systems and what humans actually want. Today our customers are companies. Soon, AIs themselves will be our customers. Our platform runs AI-moderated video interviews at massive scale. We find the right people from a network of millions, our AI conducts open-ended conversations with thousands of them in parallel, and we surface what to build next. What used to take research teams weeks per study, we do in hours. Where it's going: every interview feeds a human preference model. We simulate human behavior at scale: how people react to new ideas, how they make decisions, how preferences shape markets, and how change ripples through society. We expose this as the Human API. An AI agent writes code, asks Listen whether users would actually want a feature, gets a grounded answer back, and iterates. Closed-loop product development at AI speed. Every coding agent will eventually need this signal. Company highlights - Series B with $100M raised from Sequoia, Conviction, Ribbit, AI Grant, and Pear VC. - Selective team of - Customers include

Director, National Thought Leader Liaison Cambridge, MA / Remote The Company: With deep expertise in chemistry, Nuvalent is working to create selective medicines designed with the goal to address the needs of patients with cancer. Nuvalent is an exciting company, bringing together experienced scientists and industry veterans with a proven track record in drug discovery, oncology drug development, and company building. The Role: Reporting to the Senior Director, Thought Leader Strategy & Partnerships, the Director, Thought Leader Liaison will be a pivotal partner in Nuvalent's growing Commercial organization. This individual will spearhead the execution of the thought leader engagement as the company prepares for the market launch of Zidesamtinib and Neladalkib. The Director will be a pivotal member of the Commercial and Marketing teams. This role will provide guidance on thought leader relationships and partnerships ensuring alignment with brand objectives and coordinating end to end relationships for the Commercial organization. This individual will also support the execution of brand strategies to ensure launch readiness. Responsibilities: - Develop and execute a comprehensive Commercial engagement strategy for lung cancer thought leaders, including academic researchers, digital opinion leaders, and other key influencers. - Collaborate with internal teams to implement commercial strategies and manage interactions with key accounts, ensuring alignment with Nuvalent's business goals. - Capture valuable therapeutic and competitive insights from Thought Leaders and other key stakeholders to guide impactful field insights integration that shapes positioning, messaging, and stakeholder engagement strategies - Work closely with the Senior Director, Thought Leader Strategy to aggregate

Software Development Engineer, Public Sector Customer Engineering Sydney, New South Wales, AUS AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The Public Sector Customer Engineering team helps customers solve their most interesting business challenges by rapidly developing innovative prototypes using world-class cloud and open-source technologies. We've helped customers by using image recognition to find missing persons, Artificial Intelligence to optimise rideshares, and Machine Learning to grade exam answers. We are looking for a Software Development Engineer to join the team. Key job responsibilities As a Software Development Engineer, you will; Design, develop, test and deploy well-architected software Feel a real sense of achievement from completing and delivering projects in less time than you thought possible. Get hands-on with a range of technologies and practice a range of disciplines: back-end, front-end, DevOps, machine learning, data science, data architecture. We are curious generalists who don't pigeon-hole ourselves as particular “flavours” of engineer and never say “that's not my job”. Collaborate with customers through full engagements; you'll learn about their business challenges, rapidly design and develop prototypes to solve them, showcase the functionality you've written in demos and finally see the difference you've made when customers deploy solutions into their production environments. Work with the latest AWS services and open-source technologies to build your prototypes. You'll always be encouraged to pick the right tools for the job. A day in

Philosophy Specialist - Freelance AI Trainer Project United States of America Are you a philosophy expert eager to shape the future of AI? Large‑scale language models are evolving from clever chatbots into powerful engines of intellectual discovery. With high‑quality training data, tomorrow's AI can democratize world‑class education, keep pace with cutting‑edge research, and streamline philosophical inquiry for thinkers everywhere. That training data begins with you-we need your expertise to help power the next generation of AI. We're looking for philosophy specialists who live and breathe ethics, metaphysics, epistemology, logic, political philosophy, philosophy of mind, philosophy of language, existentialism, phenomenology, and the history of philosophy. You'll challenge advanced language models on topics like moral theory, consciousness, free will, the nature of knowledge, logical fallacies, the nature of reality, the problem of evil, and the philosophy of science-documenting every failure mode so we can harden model reasoning. On a typical day, you will converse with the model on theoretical philosophical questions, verify factual accuracy and logical soundness, capture reproducible error traces, and suggest improvements to our prompt engineering and evaluation metrics. A master's or PhD in philosophy or a closely related field is ideal; peer‑reviewed publications, teaching experience, or hands‑on research projects signal fit. Clear, metacognitive communication-“showing your work”-is essential. Ready to turn your philosophy expertise into the knowledge base for tomorrow's AI? Apply today and start teaching the model that will teach the world. We offer a pay range of $8-to- $65 per hour, with the exact rate determined after evaluating

Machine Learning Engineer - Visual Agents - Special Projects Cupertino, United States of America Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or experience we deliver is the result of us making each other's ideas stronger. The diversity of our people and their thinking inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you'll do more than join something - you'll add something. The Special Projects team at Apple is developing novel experiences powered by state-of-the-art agentic vision-language models that incorporate visual context into conversational interaction. We are looking for a Machine Learning Engineer to help us build, fine-tune, and rigorously evaluate these systems. A successful candidate has hands-on experience with vision-language models, knows how to translate ambiguous product requirements into measurable evaluation criteria, and is excited to work at the intersection of multimodal modeling and agentic AI. Build and evaluate vision-language agents that perceive real-world scenes and incorporate that context into conversational models Curate, annotate, and build multimodal datasets to support model training and evaluation Develop automated evaluation pipelines including LLM-as-judge frameworks, human evaluation protocols, and domain-specific benchmarks Fine-tune Large Language Models (LLMs) and Visual-Language Models (VLMs) to improve performance for specific use cases Work closely with other ML Researchers to define evaluation criteria and methodology to systematically evaluate foundation models Design controlled experiments to measure model capabilities,

Machine Learning Performance Engineer London, England, United Kingdom We are looking for an engineer with experience in low-level systems programming and optimisation to join our growing ML team. Machine learning is a critical pillar of Jane Street's global business. Our ever-evolving trading environment serves as a unique, rapid-feedback platform for ML experimentation, allowing us to incorporate new ideas with relatively little friction. Your part here is optimising the performance of our models - both training and inference. We care about efficient large-scale training, low-latency inference in real-time systems and high-throughput inference in research. Part of this is improving straightforward CUDA, but the interesting part needs a whole-systems approach, including storage systems, networking and host- and GPU-level considerations. Zooming in, we also want to ensure our platform makes sense even at the lowest level - is all that throughput actually goodput? Does loading that vector from the L2 cache really take that long? If you've never thought about a career in finance, you're in good company. Many of us were in the same position before working here. If you have a curious mind and a passion for solving interesting problems, we have a feeling you'll fit right in. There's no fixed set of skills, but here are some of the things we're looking for: - An understanding of modern ML techniques and toolsets - The experience and systems knowledge required to debug a training run's performance end to end - Low-level GPU knowledge of PTX, SASS, warps, cooperative groups, Tensor Cores

Senior Staff Machine Learning Engineer – Ads Prediction, Signals & Quality Cupertino, United States of America At Apple, we focus deeply on our customers' experience. Apple Ads brings this same approach to advertising, helping people find exactly what they're looking for and helping advertisers grow their businesses! Our technology powers ads and sponsorships across Apple Services, including the App Store, Apple News, and MLS Season Pass. Everything we do is designed for trust, connection, and impact: We respect user privacy, integrate advertising thoughtfully into the experience, and deliver value for advertisers of all sizes-from small app developers to big, global brands. Because when advertising is done right, it benefits everyone! We are seeking an experienced Machine Learning Engineer to drive innovation in ad prediction, quality, and privacy-preserving signals. This role spans three critical areas: building large-scale prediction models, designing signals that respect user privacy, and ensuring ad quality that aligns with Apple's values of trust and transparency. You will set technical direction, lead complex initiatives, and mentor engineers while collaborating closely with research, infrastructure, and product teams. This role offers the opportunity to shape the future of privacy-first advertising at Apple. You'll work with some of the best engineers and researchers in the field, solve problems at massive scale, and deliver models that respect users while driving meaningful outcomes for advertisers. 10+ years of experience applying ML at scale in ads, recommender systems, content ranking, or related domains. Strong expertise in deep learning architectures (Transformers, LLMs, DNNs) and training frameworks

Staff Machine Learning Engineer- I Bangalore Glance AI is an AI commerce platform shaping the next wave of e-commerce with inspiration-led shopping, less about searching for what you want and more about discovering who you could be. Operating in 140 countries, Glance AI transforms every screen into a stage for instant, personal, and joyful discovery, where inspiration becomes something you can explore, feel, and shop in the moment. Its proprietary models, seamlessly integrated with Google's most advanced AI platforms, Gemini and Imagen on Vertex AI, deliver hyper-realistic, deeply personal shopping experiences across categories such as fashion, beauty, travel, accessories, home décor, pets, and more. Designed to seamlessly integrate into everyday consumer technology, Glance AI reimagines the future of e-commerce with inspiration-led discovery and shopping. With an open architecture built for effortless adoption across hardware and software ecosystems, Glance AI is creating a platform that can become a staple in everyday consumer technology. It partners with the world's leading smartphone makers, connected TV manufacturers, telecom providers, and global brands - meeting people where they are: on mobile, smart TVs, and brand websites. Through Glance AI's rich first-party data and unparalleled consumer access, it harnesses InMobi's global scale, insights, and targeting capabilities to create high-impact, performance-driven shopping journeys for brands worldwide. Part of the InMobi Group, a global technology and advertising leader reaching over 2 billion devices and serving more than 30,000 enterprise brands worldwide, Glance AI is backed by Google, Jio Platforms, and Mithril Capital. What you will be doing We

Developer Advocate New York, New York, New York, United States, San Francisco, California Who We Are Notion is the collaborative AI workspace where teams and agents think together . We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn't to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business's system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life's work. About Us: Notion helps you build beautiful tools for your life's work. In today's world of endless apps and tabs, Notion provides one place for teams to get everything done, seamlessly connecting docs, notes, projects, calendar, and email-with AI built in to find answers and automate work. Millions of users, from individuals to large organizations like Toyota, Figma, and OpenAI, love Notion for its flexibility and choose it because it helps them save time and money. In-person collaboration is essential to Notion's culture. We require all team members to work from

Machine Learning Engineer - Ads Relevance & Quality Cupertino, United States of America At Apple, we focus deeply on our customers' experience. Apple Ads brings this same approach to advertising, helping people find exactly what they're looking for and helping advertisers grow their businesses! Our technology powers ads and sponsorships across Apple Services, including the App Store, Apple News, and MLS Season Pass. Everything we do is designed for trust, connection, and impact: We respect user privacy, integrate advertising thoughtfully into the experience, and deliver value for advertisers of all sizes-from small app developers to big, global brands. Because when advertising is done right, it benefits everyone! Apple's Ads team is seeking a highly skilled and motivated Machine Learning Engineer to join the Ads Relevance and Quality team. This team is responsible for ensuring high-quality, trustworthy ad experiences by building intelligent systems to evaluate ad relevance, detect low-quality or offensive content, and optimize user satisfaction. You'll work at the intersection of applied ML, NLP, and content quality-designing models and systems that understand queries, flag inappropriate content, and raise the bar for ad relevance and user trust across billions of queries and impressions. You'll play a key role in shaping the future of safe, high-quality advertising at Apple. Your work will help ensure that ads remain useful, relevant, and respectful of our users-supporting Apple's values of privacy, trust, and transparency. You'll collaborate with world-class engineers and researchers, apply cutting-edge ML techniques in real-world systems, and have a direct impact on the

Country Manager, Singapore Singapore Who We Are Notion is the collaborative AI workspace where teams and agents think together . We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn't to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business's system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life's work. About Us: Notion helps you build beautiful tools for your life's work. In today's world of endless apps and tabs, Notion provides one place for teams to get everything done, seamlessly connecting docs, notes, projects, calendar, and email-with AI built in to find answers and automate work. Millions of users, from individuals to large organizations like Toyota, Figma, and OpenAI, love Notion for its flexibility and choose it because it helps them save time and money. In-person collaboration is essential to Notion's culture. We require all team members to work from our offices on Mondays and Thursdays, our designated Anchor

Senior Computer Vision Machine Learning Engineer, Apple Wallet Austin, United States of America Join a dynamic AI and Machine Learning team focused on protecting millions of users from fraud and securing their identity every day. We operate at the intersection of cutting-edge research and production systems, collaborating across Apple-from other ML teams to Operations to Engineering-with strong leadership support and investment in our mission-critical work. We value continuous learning, intellectual curiosity, and commitment to excellence while maintaining focus on user privacy and security You will work on cutting edge computer vision technology in the field of facial recognition and adversarial object detection. You'll contribute to computer vision initiatives that directly protect users from fraud and identity theft, combining applied research with production deployment. This role offers the unique opportunity to see your work from methodology through implementation, with the autonomy to make meaningful technical decisions in a supportive, high-visibility environment. Bring computer vision expertise and industry best practices to strengthen team capabilities Collaborate on advanced computer vision projects, particularly in face recognition and facial expression/spoofing detection Deliver on roadmap commitments while identifying innovative approaches for model improvement Mentor early-career engineers, supporting their growth and project success Partner with cross-functional stakeholders, translating complex technical concepts and instilling trust Contribute to roadmap planning and execution, bringing industry best practices and novel architectural approaches Practice thoughtful prioritization and alignment in a high-opportunity environment while embracing Apple's core principles around privacy, security and the customer experience Minimum Qualifications: Strong foundation in computer vision techniques

Generative AI Design Expert Beaverton, Oregon posted: Posted 30+ Days Ago

Senior AI Engineer SAN JOSE posted: Posted 2 Days Ago

Director, Thought Leadership UK - London posted: Posted 8 Days Ago

Staff Data Scientist, Core Data & Analytics Hybrid - Denver, Denver, Colorado, United States Ibotta is seeking a Staff Data Scientist, Core Data & Analytics to join our innovative team and contribute to our mission to Make Every Purchase Rewarding. Our growing Core Data & Analytics Data Science Team provides high-quality, on-time data science-related products and services across all business areas and teams within Ibotta. We do this by providing thought leadership, subject matter expertise, evangelism and governance of business-critical data science initiatives. This role will be primarily focused on building data assets and analytics solutions for the revenue organization. As a Staff Data Scientist, you'll have the unique, challenging, and rewarding opportunity to be responsible for using the latest developments in statistics and machine learning. Using these skills, you will identify and build strategic opportunities to grow the business, support initiatives, and drive value. In addition, you will be expected to build accurate and reliable Machine Learning models for use throughout the organization. You'll be able to create and own greenfield opportunities to make big positive impacts on the revenue organization. You'll have the chance to own the data science technology of one or more critical initiatives core business domains, from collaborating with stakeholders, through the full model development lifecycle. This position is available in multiple locations: Denver, Colorado - if you are in or willing to relocate to the Denver area, this is a hybrid position requiring 3 days in office (Tuesday, Wednesday, and Thursday). Remote options are

Senior Machine Learning Engineer, Perception - Autonomous Driving 3 Locations posted: Posted 8 Days Ago

Future Opportunity -- Machine Learning Engineer Sunnyvale, CA, United States Company Description: At Intuitive, we are united behind our mission: we believe that minimally invasive care is life-enhancing care. Through ingenuity and intelligent technology, we expand the potential of physicians to heal without constraints. As a pioneer and market leader in robotic-assisted surgery, we strive to foster an inclusive and diverse team, committed to making a difference. For more than 25 years, we have worked with hospitals and care teams around the world to help solve some of healthcare's hardest challenges and advance what is possible. Intuitive has been built by the efforts of great people from diverse backgrounds. We believe great ideas can come from anywhere. We strive to foster an inclusive culture built around diversity of thought and mutual respect. We lead with inclusion and empower our team members to do their best work as their most authentic selves. Passionate people who want to make a difference drive our culture. Our team members are grounded in integrity, have a strong capacity to learn, the energy to get things done, and bring diverse, real world experiences to help us think in new ways. We actively invest in our team members to support their long-term growth so they can continue to advance our mission and achieve their highest potential. Join a team committed to taking big leaps forward for a global community of healthcare professionals and their patients. Together, let's advance the world of minimally invasive care. Job Description: The

International Tax Manager San Francisco, California, San Francisco, California, United States Who We Are Notion is the collaborative AI workspace where teams and agents think together . We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn't to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business's system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life's work. About Us: Notion helps you build beautiful tools for your life's work. In today's world of endless apps and tabs, Notion provides one place for teams to get everything done, seamlessly connecting docs, notes, projects, calendar, and email-with AI built in to find answers and automate work. Millions of users, from individuals to large organizations like Toyota, Figma, and OpenAI, love Notion for its flexibility and choose it because it helps them save time and money. In-person collaboration is essential to Notion's culture. We require all team members to work from our offices

Principal Program Manager, Relay Trust, Relay Trust Bellevue, Washington, USA Have you ever thought about what it takes to detect and prevent fraudulent transactions to ensure the hundreds of millions of Amazon packages are received on time by our customers? What kinds of products and systems would you build to maximize customer satisfaction? Amazon is seeking a program management team leader who is passionate about protecting Customers and can thrive working across a diverse, global team. The Relay Financial Systems and Risk Management organization in Middle Mile Transportation Technology (MMPT) is constantly innovating new ways of building distributed systems running the latest in machine learning algorithms to deliver the next generation of fraud prevention solutions for our Customers. We hold high standards for our solutions and the services we deliver: our systems are highly secure, highly reliable, highly available, all while functioning at massive scale and delivering industry leading precision; our employees are intelligent, passionate about protecting Customers, and fun to work with. You will be responsible for working with cross-functional teams, analyzing and identifying specific instances of risk, broader risk trends and points of customer friction, as well as developing scalable solutions for prevention. You will need to collaborate effectively with cross-functional teams worldwide and within Middle Mile Transportation Technology to solve problems, create operational efficiencies, and deliver successfully against high organizational standards. You will regularly interact with executive leadership and work with business teams to develop and roll out new programs. You'll work in a fast paced environment

Senior Software Engineer, AI Inference 2 Locations posted: Posted 24 Days Ago

Sr Manager, Program Management , Relay Trust Bellevue, Washington, USA Have you ever thought about what it takes to detect and prevent fraudulent transactions to ensure the hundreds of millions of Amazon packages are received on time by our customers? What kinds of products and systems would you build to maximize customer satisfaction? Amazon is seeking a program management team leader who is passionate about protecting Customers and can thrive working across a diverse, global team. The Relay Trust in TTS (Transportation Technology and Services ) is constantly innovating new ways of building distributed systems running the latest in machine learning algorithms to deliver the next generation of fraud prevention solutions for our Customers. We hold high standards for our solutions and the services we deliver: our systems are highly secure, highly reliable, highly available, all while functioning at massive scale and delivering industry leading precision; our employees are intelligent, passionate about protecting Customers, and fun to work with. In this role as Sr. Manager, Program Manager, you will lead a team responsible for analyzing and identifying specific instances of risk, broader risk trends and points of customer friction, as well as developing scalable solutions for prevention. You will need to collaborate effectively with cross-functional teams worldwide and within Middle Mile Transportation Technology to solve problems, create operational efficiencies, and deliver successfully against high organizational standards. You should be able to apply a breadth of tools, data sources, and analytical techniques to answer a wide range of high-impact business questions