Thought Machine jobs

Senior AI Engineer (AI Factory) WARSAW DOWNTOWN OFFICE posted: Posted 14 Days Ago

Senior ML Software Engineer, Watch Software Boulder, United States of America Imagine what you could do here. At Apple, new ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish! Our team is working toward a future where our devices are aware of us and our environment, they directly support our health and wellbeing, and they nudge us to be more thoughtful, present, and inspired human beings. We believe there is huge opportunity to improve lives and the world by understanding people, our activities, connections, and the environments we live in using sensing and machine learning on our devices. Our team works with cross-functional partners across Apple to create high-impact features and new ways to interact on Apple Watch, home products, and new hardware. We prototype new experiences, develop and ship products, and publish our work. We are a creative, multi-disciplinary, optimistic, and collaborative team. Come join us and build the future! The team you will join is responsible for creating the technologies that power new, innovative product features for Apple Watch, like DoubleTap, AssistiveTouch, Handwashing, and Raise to Speak. We are highly collaborative and partner with a variety of research and product teams across Apple to explore novel experiences and ship features. We are looking for a versatile Machine Learning Software Engineer who is passionate about developing innovative, ML-driven product features that push the boundaries of sensing and human-computer interaction,

Mid-Market Customer Success Manager San Francisco, California, San Francisco, California, United States, New York, New York 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 The Role - Drive growth, adoption, retention, and expansion for a product people love that solves real problems : Fortune 500 companies use Notion to run huge teams - but your friends and family can also use it to take notes, display photos, and more. - Help customers achieve real results through AI-powered workflows: You'll partner with customers to identify their goals, then guide them through hands-on training and working sessions to build workflows that solve their specific problems-with AI at the center. - Own renewal execution

Senior Software Engineer, Data Ingestion Atlanta, GA, USA This is a hybrid position requiring in-office attendance one day per week at our Atlanta office. Candidates must reside within a commutable distance to be considered. Fullstory's mission is to help teams create amazing online experiences for their users. We do this by applying deep expertise in distributed systems and computer science to build an ambitiously high-scale and high-value platform. The scale at which Fullstory ingests, processes, and persists data makes our systems uniquely challenging to design and operate. Our Data Ingestion services are responsible for processing hundreds of thousands of browser and mobile application event bundles every second and quickly transforming this data into easily consumable activity for machines and humans alike. As a Senior Software Engineer focused on our ingestion pipeline, you will be working on evolving our highly reliable, secure, performant, and cost efficient foundation for the capture and processing of session data. This data feeds both the product analytics features in our own application as well as data analytics and machine learning systems, where streaming accurate data as it is being captured can power further insights and interactivity for our customers. In a typical day, you might: - Engineer distributed systems that operate at tens to hundreds of thousands of requests per second using Go, Kubernetes, and GCP. - Explore ideas about how to unlock new features through thoughtful architecture and framework designs. - Ensure the quality and reliability of Fullstory's capture and extraction systems across many services

Product Manager, Workspaces 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 the Role As the Product Manger for Workspaces you will define how large Customers adopt, scale, and succeed with Notion. You will own a large and critical slice of Notion's “system of record” future: defining how teams setup and evolve their Notion Workspace as AI agents become everyday collaborators - across people, content, and workflows. You will be responsible for building the primitives, deployment, and maintenance features to enable organizations to seamlessly organize their people, context and agents best for their workflows. In this role, you'll collaborate closely with

Senior Machine Learning Engineer, AI Platform San Jose posted: Posted 30+ Days Ago

ML Engineer Detroit | OnSite ML Engineer | Nox Metals | Detroit, MI 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. Nox Metals is a technology company in Detroit supplying aluminum plate, bar, and rounds to aerospace and defense manufacturers. We use software and automation to supply metal to American factories faster than the industry thought possible. We need an ML Engineer to build the intelligence layer of the company. Cut-time models, nesting scoring, demand intelligence, sales order parsing, dimensional vision, cert OCR, and the next ten things we have not built yet. Every machine, every order, every shipment generates data, and you turn it into a moat. Nox Metals is an employer with real opportunity for long term career growth, this is a place to build a career, not just hold a job. You will: - Own ML end to end across applied production work, novel research, and production deployment - Build cut-time models that predict how long every cut takes by alloy, thickness, geometry, and machine - Build nesting scoring and optimization models that make WAYNE smarter every day - Build demand intelligence and procurement models that tell us what to buy, when, and at what price - Build NLP and LLM features for sales order parsing, RFQ ingestion, and customer communication - Build vision and OCR systems for cert package automation and dimensional

Marketing Strategist, Enterprise Initiatives & Thought Leadership Location not specified

Head of Customer Success, APAC Tokyo, Japan, Tokyo, Japan 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 The Role We're looking for a customer-focused, results-oriented leader to oversee Customer Success across APAC at Notion. You'll report to the Global Head of Customer Success and lead experienced teams that help customers get the most out of Notion through effective adoption and expansion. You'll also champion Notion's vision to build the connected workspace. What You'll Achieve - Strategic Alignment: Develop and implement strategies to align the APAC Customer Success organization with broader company goals, especially around adoption, retention, and expansion - Team Leadership: Lead and develop a team of 25+ CSMs across Scaled

Thought Leader Liaison, Southeast 8 Locations posted: Posted 24 Days Ago

Senior Backend Engineer, Inference Platform San Francisco About the Role Together AI is building the Inference Platform that brings the most advanced generative AI models to the world. Our platform powers multi-tenant serverless workloads and dedicated endpoints, enabling developers, enterprises, and researchers to harness the latest LLMs, multimodal models, image, audio, video, and speech models at scale. If you get a thrill from optimizing latency down to the last millisecond, this is your playground. You'll work hands-on with tens of thousands of GPUs (H100s, H200s, GB200s, and beyond), figuring out how to fully utilize every FLOP and every gigabyte of memory. You'll collaborate directly with research teams to bring frontier models into production, making breakthroughs usable in the real world. Our team also works closely with the open source community, contributing to and leveraging projects like SGLang, vLLM, and NVIDIA Dynamo to push the boundaries of inference performance and efficiency. - Shape the core inference backbone that powers Together AI's frontier models. - Solve performance-critical challenges in global request routing, load balancing, and large-scale resource allocation. - Work with state-of-the-art accelerators (H100s, H200s, GB200s) at global scale. - Partner with world-class researchers to bring new model architectures into production. - Collaborate with and contribute to the open source community, shaping the tools that advance the industry. - A culture of deep technical ownership and high impact - where your work makes models faster, cheaper, and more accessible. - Competitive compensation, equity, and benefits. Responsibilities - Build and optimize global and

Technical Sourcer, Research San Francisco, California, United States, New York City, Seattle, Remote - US About the Team OpenAI's mission is to build safe artificial general intelligence (AGI) that benefits all of humanity. Achieving this requires bringing the world's most exceptional talent under one roof to push the boundaries of what's possible. Our Research Recruiting team plays a critical role in this effort. We are an embedded part of the research organization-working side by side with our research staff to deeply understand evolving priorities, build trust, and strategically shape the future of OpenAI's talent. About the Role You'll focus on identifying and engaging world‑class AI researchers and scientists who are advancing the frontier of machine learning and artificial intelligence. In this role, you will drive top‑of‑funnel sourcing efforts, build thoughtful outreach strategies, and cultivate long‑term relationships with highly specialized talent across academia and industry to support our Research teams' hiring ambitions. You'll work across a range of deeply technical and research‑oriented roles, mapping emerging fields, identifying leading contributors, and proactively engaging experts in their respective domains. You'll partner closely with recruiters, hiring managers, and research leaders to surface exceptional candidates, generate strong pipelines for niche searches, and continuously refine sourcing strategies to help our research teams grow and scale. Your Responsibilities: - Build highly targeted searches that deliver candidate profiles with precision. - Craft thoughtful approaches to candidate outreach that will engage even the most passive talent and cultivate relationships with high priority targets over the long-term. - Develop and

AI Applications Engineer 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 The Role We're looking for an AI Applications Engineer to help drive Notion's business transformation efforts. In this role, you'll be a strategic partner to our internal stakeholders (primarily GTM, Finance and People teams) and deliver and scale creative AI-driven solutions to multi-faceted problems with measurable business impact. You'll also build reusable components, evaluation patterns, and operational guardrails that make AI delivery repeatable across teams. What You'll Achieve - Work with stakeholders to discover opportunities from ambiguous problem statements, translate them into scoped solutions, and drive iterative releases from idea to adoption

Machine Learning Engineer - Vision Products Software Los Angeles, United States of America AI is transforming how people interact with technology, and Apple is building the next generation of intelligent, privacy-preserving experiences across its platforms. We're looking for a Machine Learning Engineer to help prototype, build, and ship conversational and generative AI systems that feel deeply human, responsive, and trustworthy. In this role, you'll work at the intersection of machine learning research and product engineering-rapidly iterating on new ideas, translating them into scalable systems, and partnering closely with cross-functional teams to bring them to life. You'll contribute to foundational capabilities that power conversational understanding, generation, personalization, and embodied interactions for Apple's Vision devices As a Machine Learning Engineer on our team, you will design, prototype, and deploy ML-driven features that power conversational and generative experiences. You'll work hands-on with modern model architectures; ranging from large language and multimodal models to ranking and personalization system and integrate them into production frameworks used at scale. You'll collaborate closely with researchers, product managers, designers, and platform engineers to align on problem definitions, iterate on solutions, and ship features that meet Apple's standards for reliability, privacy, and delight. This role balances experimentation with execution: moving quickly when exploring new ideas, and rigorously when transitioning work into production. Design and implement ML models and algorithms for conversational understanding, generation, and personalization Rapidly prototype and evaluate new model architectures, prompting strategies, and fine-tuning approaches Translate research ideas into production-ready systems, collaborating across teams to ensure smooth

Xcode Intelligence Foundation Engineer Cupertino, United States of America The Xcode Intelligence Foundations team develops tools and systems that empower developers worldwide to leverage the creative power of machine learning in software development. From developers taking their first steps to teams building large, complex apps, our work underpins intelligence features across Xcode. Our goal is to equip developers on Apple platforms with dependable, well-crafted, and thoughtfully designed tools that reduce the time between idea and outcome, enhance software quality, and build remarkable experiences. This team is responsible for building and maintaining frameworks, systems, and approaches that integrate Xcode with a variety of intelligent tools for developers - including third-party coding agents and large language models. Day-to-day, engineers on the Xcode Intelligence Foundations team work cross-functionally with peers at Apple and our industry partners to build features, troubleshoot issues, and help prototype and conceive the next generation of software development tools. Engineers are expected to actively participate in all aspects of building software - from design and planning through evaluation and long-term maintenance. The transformational opportunities offered by LLMs across all disciplines come with new challenges, ranging from fundamentally new ways of modeling problems to the ethical implications of generative content; candidates for this team should be prepared to grapple with these challenges directly and responsibly. The best candidates for this team are curious, thoughtful, and always put people first. Minimum Qualifications: 3 years experience developing desktop or mobile applications Bachelor's degree or equivalent experience in computer science or a related

Research Scientist, Robotics, Embodied AI, DeepMind Mountain View, CA, USA We believe there are many problems in the world in which robotics could play a significant role in making it easier, faster and safer for people to get things done. We're looking for roboticists, designers, hardware and software engineers to help us explore these possibilities, develop breakthrough technologies, and build new products that could help millions of people. At DeepMind Robotics we are pioneering bringing AI to the physical world. We are powering an era of physical agents, enabling robots to perceive, plan, think, use tools, and act to better solve tasks. In this role, you will develop Vision Language Action (VLA) models that combine Gemini's world understanding with physical actions to directly control robots. You will include Gemini Robotics (our Gemini model for the physical world), and Gemini Robotics On-Device (our Gemini model that runs without a data network). You will also develop reasoning and agentic systems for the physical world, including Gemini Robotics-ER, a Gemini agent with spatial understanding. You will enable robots to perform a range of tasks, respond interactively to their environment, achieve dexterity, and reason over long multi-step tasks. You will focus on advancing in areas of general purpose robotics, including real world understanding, action generalization, human robot interaction, whole-body control, and continual learning. Additionally, you will partner with robotics companies to bring this intelligence to applications at scale. Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a

Senior Machine Learning Engineer – Ads Signals Intelligence and Information Retrieval 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 Signals Intelligence team is seeking a hands-on and experienced Machine Learning Engineer to develop the next generation of ML-driven signal platforms that power retrieval, prediction, and relevance across Apple's advertising ecosystem-including the App Store and Apple News. This role focuses on building content understanding systems and large-scale infrastructure capable of delivering near real-time signal updates, enabling smarter, privacy-aware decision-making throughout the ad delivery stack. This role focuses on developing rich semantic signals from a variety of sources-including queries, creatives, metadata, and user interactions-to support scalable ad retrieval, creative ranking, and marketplace optimization. You'll work at the forefront of LLM fine-tuning, knowledge graph construction, semantic search, and multimodal representation learning to extract structured intelligence from unstructured data. While ad tech knowledge is a strong bonus, the core of the role is building high-quality, privacy-centric signals that fuel some of

Staff Machine Learning Engineer – Ads Signals Intelligence & Information Retrieval 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 Signals Intelligence team is seeking a hands-on and experienced Machine Learning Engineer to develop the next generation of ML-driven signal platforms that power retrieval, prediction, and relevance across Apple's advertising ecosystem-including the App Store and Apple News. This role focuses on building content understanding systems and large-scale infrastructure capable of delivering near real-time signal updates, enabling smarter, privacy-aware decision-making throughout the ad delivery stack. This role focuses on developing rich semantic signals from a variety of sources-including queries, creatives, metadata, and user interactions-to support scalable ad retrieval, creative ranking, and marketplace optimization. You'll work at the forefront of LLM fine-tuning, knowledge graph construction, semantic search, and multimodal representation learning to extract structured intelligence from unstructured data. While ad tech knowledge is a strong bonus, the core of the role is building high-quality, privacy-centric signals that fuel some of

Sales Engineering Manager, Enterprise, EMEA London, United Kingdom, London, United Kingdom 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 the Role Notion has had great success with product-led growth (PLG), with many customers starting their Notion journey as a smaller group before our product grows toward being a wall-to-wall solution. As our brand grows, more and more prospects are investigating how Notion can integrate their existing tech stack, replace existing solutions, or be deployed in large or phased implementation to meet desired business goals. Our Solution Engineering function is a critical component to Notion's growth and this role will be instrumental in further developing a strong partnership with our sales, success,

Scaled Customer Success Manager San Francisco, California, San Francisco, California, United States, New York, New York 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 The Role - Manage a large portfolio of customers in AMER. - Onboard and expand our customer base through tailored Notion consultations, trainings, and assistant programs. - Design and run at-scale outreach campaigns to key points of contact in order to assist with Notion adoption. - Work cross functionally with sales partners to ensure strong adoption of Notion. - Serve as our in-house product ambassador to up-level our customers' workflows and help them get the most return of investment from Notion. - Identify and target strategic customers

AI Research Scientist - Multimodal Intelligence Seattle, United States of America Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Multifaceted, amazing people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same passion for innovation that goes into our products also applies to our practices, strengthening our commitment to leave the world better than we found it. Join us in this truly exciting era of Artificial Intelligence to help deliver the next groundbreaking Apple products & experiences! We are continuously advancing the state of the art in Computer Vision and Machine Learning, touching all aspects of language and multimodal foundation models, from data collection, data curation to modeling, evaluation and deployment. As a member of our dynamic group, you will have the unique and rewarding opportunity to craft upcoming research directions in the field of multimodal foundation models that will inspire future Apple products. You will be working alongside highly accomplished and deeply technical scientists and engineers to develop pioneering solutions for challenging problems. This is a unique opportunity to be part of what forms the future of Apple products that will touch the lives of many people. We (Multimodal Intelligence Team) are looking for an AI Research Scientist to work on the field of Generative

Thought Leader Liaison, Rare Disease 7 Locations posted: Posted 30+ Days Ago

Enterprise Ontology Leader - IDEA by Lear Job Location (country) United States Lear For You We work hard for the people who work for us. We champion our teams. We foster collaboration, inclusion, respect and excellence. What we are trying to say is we want to be more for you. We are your path to a better career, a better future, and a better you. Our teams have invented groundbreaking technologies, flawlessly manufactured millions of products and earned a long list of awards. Year after year, we are one of the World's Most Admired Companies. Our teams are the secret to our success. They are empowered, inventive and inclusive. Passionate about their craft. Driven to succeed. Because we all understand that we must work together to win. Are you ready for a better career? A better future? We're Lear For You. ENTERPRISE ONTOLOGY LEADER - IDEA BY LEAR SOUTHFIELD, MI About Lear and IDEA by Lear: Lear is a global Tier 1 automotive supplier of Seating and E‑Systems, powering the next generation of mobility with advanced electronics, connectivity, and intelligent manufacturing. As part of our multi‑year Digital & Automation Transformation - IDEA by Lear (Innovation, Digital, Engineering, and Automation) - we are building an enterprise-level Data and AI capability that enables faster, more automated, and more intelligent decision-making across our global operations. To accelerate this transformation, Lear has made a significant, multiyear strategic investment in Palantir Foundry and Palantir AIP , establishing a unified enterprise ontology, a single source of

Thought Leader Liaison, Iqirvo, Northeast 5 Locations posted: Posted 9 Days Ago