FewerJobs.

Thought Machine jobs

56 matches, filter-driven and evidence-linked.

Reset
Showing 56 high-confidence listings. 0 additional listings are hidden by default. Show all
24 shown of 56

Benefit evidence

Resolvable source Inferred from posting Unknown provenance
Showing verified benefits
  • AI Engineer

    The Procter & Gamble Company - WARSAW DOWNTOWN OFFICE
    Indexed from Workday Benefit evidence checked May 7, 2026
    posted 179 days ago

    Why we showed this

    Title: semantic matchRole: semantic match
    +1
    Unspecified Data From the posting source - Mid From the posting source Resolvable source Verified parental leave: 8 wksource Resolvable source Verified non-birth-parent leave: 8 wksource Salary not disclosed Equity Inferred from posting 401(k) reported

    AI Engineer WARSAW DOWNTOWN OFFICE posted: Posted 23 Days Ago

  • Principal Applied Scientist, Amazon Payments

    Amazon - Seattle, Washington, USA
    Indexed from Amazon Custom Benefit evidence checked Jun 7, 2026 Comp disclosed in posting
    posted 192 days ago

    Why we showed this

    Description: "thought"Description: "machine"
    +2
    Unspecified Data From the posting source - Principal From the posting source Resolvable source Verified parental leave: 6 wksource Inferred from posting Verified non-birth-parent leave: 6 wk $199K-$269K From the posting source Inferred from posting Adoption assistance Inferred from posting Childcare support Inferred from posting Fertility benefits Inferred from posting Mental health support Equity Inferred from posting 401(k) reported

    Principal Applied Scientist, Amazon Payments Seattle, Washington, USA We are looking for a Principal Applied Scientist for Amazon Payments AI/ML Team, which contributes science and science-related engineering work for Amazon's Payments Artificial Intelligence services (e.g. Amazon Payments Recommendation, Prediction, GEN AI platform to enable SOP automation and new projects already underway). In this role, you will work with your peers and senior management to set the direction for Amazon's AI efforts. Our mission is to put the power of AI in the hands of every developer. You will be responsible for mentoring a team of applied scientists. You will be responsible for creating a strong environment for applied scientists, with a focus on recruiting, retaining and developing top talent. You will partner with engineering leaders to deliver remarkable new Amazon Payments services and features that leverage Machine Learning and GenAI. As a Principal Applied Scientist, you will identify research directions, create roadmaps for forward-looking research and communicate them to senior leadership, and work closely with engineering teams to bring research to production. You will work with teams of talented scientists, and fill the ranks by attracting the best scientists in machine learning, e.g. Amazon payments recommendation and natural language processing for SOP automation. You will work with talented peers and leverage Amazon's heterogeneous data sources and large-scale computing resources. Basic Qualifications: - PhD or MSc in computer science or related fields - 10 + years in AI and Machine Learning in industry and/or academia - Track record of thought leadership

  • Senior AI Engineer

    The Procter & Gamble Company - WARSAW DOWNTOWN OFFICE
    Indexed from Workday Benefit evidence checked May 7, 2026
    posted 179 days ago

    Why we showed this

    Title: semantic matchRole: semantic match
    +1
    Unspecified Data From the posting source - Senior From the posting source Resolvable source Verified parental leave: 8 wksource Resolvable source Verified non-birth-parent leave: 8 wksource Salary not disclosed Equity Inferred from posting 401(k) reported

    Senior AI Engineer WARSAW DOWNTOWN OFFICE posted: Posted 23 Days Ago

  • AI Staff Scientist

    3M - 2 Locations
    Indexed from Workday Benefit evidence checked May 7, 2026
    posted 187 days ago

    Why we showed this

    Title: semantic matchRole: semantic match
    +1
    Unspecified Data From the posting source - Mid From the posting source Resolvable source Verified parental leave: 10 wksource Resolvable source Verified non-birth-parent leave: 10 wksource Salary not disclosed Equity Inferred from posting 401(k) reported

    AI Staff Scientist 2 Locations posted: Posted 30+ Days Ago

  • Senior AI Artist, Social Creative

    Adobe Inc. - San Francisco
    Indexed from Workday Benefit evidence checked May 7, 2026
    posted 187 days ago

    Why we showed this

    Title: semantic matchRole: semantic match
    +1
    Unspecified Marketing From the posting source - Senior From the posting source Resolvable source Verified parental leave: 16 wksource Resolvable source Verified non-birth-parent leave: 16 wksource Salary not disclosed Equity Inferred from posting 401(k) reported

    Senior AI Artist, Social Creative San Francisco posted: Posted 30+ Days Ago

  • Principal Program Manager, Relay Trust, Relay Trust

    Amazon - Bellevue, Washington, USA
    Indexed from Amazon Custom Benefit evidence checked Jun 7, 2026 Comp disclosed in posting
    posted 291 days ago

    Why we showed this

    Description: "thought"Description: "machine"
    +2
    Unspecified Operations From the posting source - Principal From the posting source Resolvable source Verified parental leave: 6 wksource Inferred from posting Verified non-birth-parent leave: 6 wk $138K-$186K From the posting source Inferred from posting Adoption assistance Inferred from posting Childcare support Inferred from posting Fertility benefits Inferred from posting Mental health support Equity Inferred from posting 401(k) reported

    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

  • Director, Thought Leader Liaison (Neuro)

    Regeneron Pharmaceuticals - Remote - United States
    Indexed from Workday Benefit evidence checked May 7, 2026
    posted 160 days ago

    Why we showed this

    Description: "thought"Title: "thought"
    +1
    Remote From the posting source Engineering From the posting source - Staff Plus From the posting source Resolvable source Verified parental leave: 12 wksource Resolvable source Verified non-birth-parent leave: 12 wksource Salary not disclosed Equity Inferred from posting 401(k) reported

    Director, Thought Leader Liaison (Neuro) Remote - United States posted: Posted 4 Days Ago

  • Senior AI Engineer (Agentic AI)

    The Procter & Gamble Company - WARSAW DOWNTOWN OFFICE
    Indexed from Workday Benefit evidence checked May 7, 2026
    posted 170 days ago

    Why we showed this

    Role: semantic matchSource-backed benefits
    Unspecified Data From the posting source - Senior From the posting source Resolvable source Verified parental leave: 8 wksource Resolvable source Verified non-birth-parent leave: 8 wksource Salary not disclosed Equity Inferred from posting 401(k) reported

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

  • Senior Data Engineer/Architect, WWPS ProServe Data and Machine Learning

    Amazon - Herndon, Virginia, USA
    Indexed from Amazon Custom Benefit evidence checked Jun 7, 2026 Comp disclosed in posting
    posted 191 days ago

    Why we showed this

    Description: "machine"Description: "thought"
    +2
    Unspecified Data From the posting source - Senior From the posting source Resolvable source Verified parental leave: 6 wksource Inferred from posting Verified non-birth-parent leave: 6 wk $154K-$208K From the posting source Inferred from posting Adoption assistance Inferred from posting Childcare support Inferred from posting Fertility benefits Inferred from posting Mental health support Equity Inferred from posting 401(k) reported Top Secret clearance US citizenship required

    Senior Data Engineer/Architect, WWPS ProServe Data and Machine Learning Herndon, Virginia, USA Are you a Data Engineering and Architecture specialist? Do you have experience designing and building Data Lakes, Data Warehouses, and scalable data platforms in the cloud? Do you want to help Public Sector customers deploy mission-critical data and ML solutions at scale? Are you detail-oriented, creative, and collaborative? Then this is the position for you. As a Delivery Consultant specializing in Data Engineering & Architecture, you will provide exceptional technical design and thought leadership for cloud data applications, working with a world-class team serving federal, state, local government, and national security customers. You will design, build, and optimize data architectures and platforms that help organizations achieve their missions through data-driven decision making. You will gain the opportunity to learn from, collaborate with, and educate some of the brightest technical minds in the industry across the breadth of enterprise data architecture. The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries. This is a customer-facing role. You will work from one of the listed locations (or customer sites)

  • Senior Machine Learning Engineer

    Adobe Inc. - 3 Locations
    Indexed from Workday Benefit evidence checked May 7, 2026
    posted 187 days ago

    Why we showed this

    Title: "machine"Role: semantic match
    +1
    Unspecified Data From the posting source - Senior From the posting source Resolvable source Verified parental leave: 16 wksource Resolvable source Verified non-birth-parent leave: 16 wksource Salary not disclosed Equity Inferred from posting 401(k) reported

    Senior Machine Learning Engineer 3 Locations posted: Posted 30+ Days Ago

  • Data Engineer/Architect, WWPS ProServe Data and Machine Learning

    Amazon - Herndon, Virginia, USA
    Indexed from Amazon Custom Benefit evidence checked Jun 7, 2026 Comp disclosed in posting
    posted 207 days ago

    Why we showed this

    Description: "thought"Description: "machine"
    +2
    Unspecified Data From the posting source - Staff Plus From the posting source Inferred from posting Verified parental leave: 20 wk Inferred from posting Verified non-birth-parent leave: 6 wk $131K-$178K From the posting source Inferred from posting Adoption assistance Inferred from posting Childcare support Inferred from posting Fertility benefits Inferred from posting Mental health support Equity Inferred from posting 401(k) reported Top Secret clearance US citizenship required

    Data Engineer/Architect, WWPS ProServe Data and Machine Learning Herndon, Virginia, USA Are you a Data Engineering and Architecture specialist? Do you have experience designing and building Data Lakes, Data Warehouses, and scalable data platforms in the cloud? Do you want to help Public Sector customers deploy mission-critical data and ML solutions at scale? Are you detail-oriented, creative, and collaborative? Then this is the position for you. As a Delivery Consultant specializing in Data Engineering & Architecture, you will provide exceptional technical design and thought leadership for cloud data applications, working with a world-class team serving federal, state, local government, and national security customers. You will design, build, and optimize data architectures and platforms that help organizations achieve their missions through data-driven decision making. You will gain the opportunity to learn from, collaborate with, and educate some of the brightest technical minds in the industry across the breadth of enterprise data architecture. The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries. This is a customer-facing role. You will work from one of the listed locations (or customer sites) Monday

  • Machine Learning Engineer II

    Pinterest - Dublin, IE
    Indexed from Greenhouse Benefit evidence checked Jun 7, 2026 Comp disclosed in posting
    posted 249 days ago

    Why we showed this

    Title: "machine"Role: semantic match
    +1
    Unspecified Engineering From the posting source - Mid From the posting source Resolvable source Verified parental leave: 20 wksource Inferred from posting Verified non-birth-parent leave: 20 wk EUR 77K-135K From the posting source Equity Inferred from posting 401(k) reported

    Machine Learning Engineer II Dublin, IE About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . We're looking for a machine learning engineer II in our Growth Platform engineering group. You'll join a small and focussed team who will help us to understand our users better so we can drive engagement and growth, and to improve their user experience. What you'll do: - Develop and implement ML models to improve

  • PD Engineer, Annapurna Labs

    Amazon - Cupertino, California, USA
    Indexed from Amazon Custom Benefit evidence checked Jun 7, 2026 Comp disclosed in posting
    posted 186 days ago

    Why we showed this

    Description: "thought"Description: "machine"
    +1
    Unspecified Engineering From the posting source - Mid From the posting source Resolvable source Verified parental leave: 6 wksource Inferred from posting Verified non-birth-parent leave: 6 wk $157K-$213K From the posting source Inferred from posting Adoption assistance Inferred from posting Childcare support Inferred from posting Fertility benefits Inferred from posting Mental health support Equity Inferred from posting 401(k) reported

    PD Engineer, Annapurna Labs Cupertino, California, USA As a member of the Cloud-Scale Machine Learning Acceleration team you'll be responsible for the design and optimization of Hardware in our data centers including technologies such as AWS Inferentia which is a machine learning inference product designed to deliver high performance at low cost. You'll provide leadership in the application of new technologies to large scale deployments in a continuous effort to deliver a world-class customer experience. This is a fast-paced, intellectually challenging position, and you'll work with thought-leaders in multiple technology areas. You'll have relentlessly high standards for yourself and everyone you work with, and you'll be constantly looking for ways to improve our products' performance, quality and cost. We're changing an industry, and we want individuals who are ready for this challenge and want to reach beyond what is possible today. Key job responsibilities - Drive block physical implementation through synthesis, floor planning, bus / pin planning, place and route, power/clock distribution, congestion analysis, timing closure, IR drop analysis, physical verification, ECO and sign-off - Develop cloud infrastructure to support physical design work. - Drive improvement in RTL2GDS flows/methodology for PPA and TAT improvement. - Create Dashboard/central reports for project tracking and visualizing QoR/stats - Interface directly with RTL, Package Design, DFT and other teams to improve methodologies and efficiencies and drive efforts to resolution. - Work with EDA tool vendors to evaluate new tools, solve bugs, improve usability, etc. Basic Qualifications: - Bachelor's degree in Electrical Engineering or a

  • Staff Research Scientist, Artificial Intelligence

    Analog Devices - US, MA, Boston
    Indexed from Workday Benefit evidence checked May 7, 2026
    posted 187 days ago

    Why we showed this

    Role: semantic matchSource-backed benefits
    Unspecified Data From the posting source - Mid From the posting source Resolvable source Verified parental leave: 6 wksource Resolvable source Verified non-birth-parent leave: 6 wksource Salary not disclosed Equity Inferred from posting 401(k) reported

    Staff Research Scientist, Artificial Intelligence US, MA, Boston posted: Posted 30+ Days Ago

  • Member of Technical Staff, Multimodal Reasoning - Applied Science , AGI Autonomy

    Amazon - San Francisco, California, USA
    Indexed from Amazon Custom Benefit evidence checked Jun 7, 2026 Comp disclosed in posting
    posted 286 days ago

    Why we showed this

    Description: "machine"Role: semantic match
    +1
    Unspecified Engineering From the posting source - Staff Plus From the posting source Resolvable source Verified parental leave: 6 wksource Inferred from posting Verified non-birth-parent leave: 6 wk $255K-$345K From the posting source Inferred from posting Adoption assistance Inferred from posting Childcare support Inferred from posting Fertility benefits Inferred from posting Mental health support Equity Inferred from posting 401(k) reported

    Member of Technical Staff, Multimodal Reasoning - Applied Science , AGI Autonomy San Francisco, California, USA Amazon has launched a new research lab in San Francisco to develop foundational capabilities for useful AI agents. We're enabling practical AI to make our customers more productive, empowered, and fulfilled. Our work leverages large vision language models (VLMs) with reinforcement learning (RL) and world modeling to solve perception, reasoning, and planning to build useful enterprise agents. Our lab is a small, talent-dense team with the resources and scale of Amazon. Each team in the lab has the autonomy to move fast and the long-term commitment to pursue high-risk, high-payoff research. We're entering an exciting new era where agents can redefine what AI makes possible. Key job responsibilities You will lead our efforts to improve the multi-model perception and reasoning abilities of our AI agent in an applied research role. Responsibilities including model training, dataset design, and pre- and post-training optimization. You will be hired as a Member of Technical Staff. Basic Qualifications: - 5+ years' experience building machine learning models - PhD or Master's degree in computer science or related field - Proficiency in Python, Java, C++, or related language - Experience with deep learning methods and tools, e.g., PyTorch, JAX Preferred Qualifications: - Background in scientific research with a proven ability to generate and implement new ideas in machine learning - Experience with post-training of large Vision Language Models (VLMs). - Willingness to step outside typical role boundaries to get things done

  • DFT Design Engineer I, AWS Machine Learning Acceleration

    Amazon - Austin, Texas, USA
    Indexed from Amazon Custom Benefit evidence checked Jun 7, 2026 Comp disclosed in posting
    posted 320 days ago

    Why we showed this

    Description: "machine"Description: "thought"
    +2
    Unspecified Engineering From the posting source - Entry From the posting source Resolvable source Verified parental leave: 6 wksource Inferred from posting Verified non-birth-parent leave: 6 wk $104K-$185K From the posting source Inferred from posting Adoption assistance Inferred from posting Childcare support Inferred from posting Fertility benefits Inferred from posting Mental health support Equity Inferred from posting 401(k) reported

    DFT Design Engineer I, AWS Machine Learning Acceleration Austin, Texas, USA Annapurna Labs designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago-even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world. As a member of the Silicon Optimization Engineering Team you'll be responsible for the design and optimization of hardware in our data centers. You'll contribute to the application of new technologies to large scale server deployments in a continuous effort to deliver a world-class customer experience. This is a fast-paced, intellectually challenging position, and you'll work with thought leaders in multiple technology areas. You'll have relentlessly high standards for yourself and everyone you work with, and you'll be constantly looking for ways to improve your products performance, quality and cost. We're changing an industry, and we want individuals who are ready for this challenge and want to reach beyond what is possible today. Key job responsibilities • Develop, implement and verify state-of-the-art Design for Test (DFT) architectures • Work with block designers to integrate DFT implementations • Work with physical design team to setup and implement DFT insertion flow • Develop high coverage and cost effective DFT methodologies • Perform RTL coding and Verification • Participate in Silicon debug and write scripts to effectively handle ATE related data • Communicate and work

  • AI Engineer

    Ecolab - IND - Karnataka - Bangalore - EDC
    Indexed from Workday Benefit evidence checked Jun 7, 2026
    posted 156 days ago

    Why we showed this

    Role: semantic matchSource-backed benefits
    Unspecified Data From the posting source - Mid From the posting source Resolvable source Verified parental leave: 6 wksource Resolvable source Verified non-birth-parent leave: 6 wksource Salary not disclosed Equity Inferred from posting 401(k) reported

    AI Engineer IND - Karnataka - Bangalore - EDC posted: Posted Today

  • Associate Director, Thought Leader Liaison - Neurology (Northeast)

    Indexed from Workday Benefit evidence checked May 7, 2026
    posted 160 days ago

    Why we showed this

    Description: "thought"Title: "thought"
    +1
    Unspecified Engineering From the posting source - Staff Plus From the posting source Resolvable source Verified parental leave: 12 wksource Resolvable source Verified non-birth-parent leave: 12 wksource Salary not disclosed Equity Inferred from posting 401(k) reported

    Associate Director, Thought Leader Liaison - Neurology (Northeast) 6 Locations posted: Posted 4 Days Ago

  • Senior Machine Learning Scientist

    Axon Enterprise - Seattle, Washington, United States
    Indexed from Greenhouse Benefit evidence checked Jun 7, 2026 Comp disclosed in posting
    posted 279 days ago

    Why we showed this

    Title: "machine"Role: semantic match
    +1
    Unspecified Data From the posting source - Senior From the posting source Resolvable source Verified parental leave: 10 wksource Inferred from posting Verified non-birth-parent leave: 10 wk $160K-$256K From the posting source Inferred from posting Childcare support Equity Inferred from posting 401(k) reported

    Senior Machine Learning Scientist Seattle, Washington, United States Join Axon and be a Force for Good. At Axon, we're on a mission to Protect Life. We're explorers, pursuing society's most critical safety and justice issues with our ecosystem of devices and cloud software. Like our products, we work better together. We connect with candor and care, seeking out diverse perspectives from our customers, communities and each other. Life at Axon is fast-paced, challenging and meaningful. Here, you'll take ownership and drive real change. Constantly grow as you work hard for a mission that matters at a company where you matter. Your Impact We are seeking highly skilled and innovative Machine Learning Scientists to join our AI team, focusing on AI applications (LLM and Computer Vision) in Cloud, Devices and Robotics. As a key member of our research and development efforts, you will play a crucial role in advancing the state-of-the-art in Large Language Models (LLMs), Multimodal Large Language Models (MLLMs), Computer Vision and GenAI technologies for law enforcement and beyond. You will collaborate with cross-functional teams to design, develop, and deploy cutting-edge LLM, MLLM, CV models and algorithms and solutions that enable intelligent reasoning, perception and understanding of multimodal data. What You'll Do Location: any cities with Axon Engineering Hub in US, Vietnam, EU (see https://www.axon.com/company ) - US: Seattle, Boston, Scottsdale Responsibilities - Own one or more key technical areas across LLM, MLLM, CV product portfolio. - Provide technical leadership to junior scientists, guiding the transition of R&D concepts

  • Associate Director, Thought Leader Liaison - Neurology (Southeast)

    Indexed from Workday Benefit evidence checked May 7, 2026
    posted 160 days ago

    Why we showed this

    Description: "thought"Title: "thought"
    +1
    Unspecified Engineering From the posting source - Staff Plus From the posting source Resolvable source Verified parental leave: 12 wksource Resolvable source Verified non-birth-parent leave: 12 wksource Salary not disclosed Equity Inferred from posting 401(k) reported

    Associate Director, Thought Leader Liaison - Neurology (Southeast) 3 Locations posted: Posted 4 Days Ago

  • Associate Director, Thought Leader Liaison - Neurology (West)

    Indexed from Workday Benefit evidence checked May 7, 2026
    posted 160 days ago

    Why we showed this

    Description: "thought"Title: "thought"
    +1
    Unspecified Engineering From the posting source - Staff Plus From the posting source Resolvable source Verified parental leave: 12 wksource Resolvable source Verified non-birth-parent leave: 12 wksource Salary not disclosed Equity Inferred from posting 401(k) reported

    Associate Director, Thought Leader Liaison - Neurology (West) 3 Locations posted: Posted 4 Days Ago

  • Senior AI Engineer

    Adobe Inc. - San Jose
    Indexed from Workday Benefit evidence checked May 7, 2026
    posted 187 days ago

    Why we showed this

    Role: semantic matchSource-backed benefits
    Unspecified Data From the posting source - Senior From the posting source Resolvable source Verified parental leave: 16 wksource Resolvable source Verified non-birth-parent leave: 16 wksource Salary not disclosed Equity Inferred from posting 401(k) reported

    Senior AI Engineer San Jose posted: Posted 30+ Days Ago

  • Senior Machine Learning Engineer

    Amgen - United States - Remote
    Indexed from Workday Benefit evidence checked Jun 7, 2026
    posted 158 days ago

    Why we showed this

    Title: "machine"Role: semantic match
    +1
    Remote From the posting source Data From the posting source - Senior From the posting source Resolvable source Verified parental leave: 6 wksource Resolvable source Verified non-birth-parent leave: 6 wksource Salary not disclosed Equity Inferred from posting 401(k) reported

    Senior Machine Learning Engineer United States - Remote posted: Posted 2 Days Ago

  • Associate Director, Thought Leader Liaison - North Central

    Regeneron Pharmaceuticals - 12 Locations
    Indexed from Workday Benefit evidence checked May 7, 2026
    posted 160 days ago

    Why we showed this

    Description: "thought"Title: "thought"
    +1
    Unspecified Engineering From the posting source - Staff Plus From the posting source Resolvable source Verified parental leave: 12 wksource Resolvable source Verified non-birth-parent leave: 12 wksource Salary not disclosed Equity Inferred from posting 401(k) reported

    Associate Director, Thought Leader Liaison - North Central 12 Locations posted: Posted 4 Days Ago

Take this list with you

Download the 56 matching jobs in any format - read offline, archive, or hand to an AI assistant with your resume to find the best fits.

Or email it to me instead

The AI-ready prompt is a pre-written question you can paste into Claude, ChatGPT, Gemini, or Perplexity along with your resume. We never see your resume; this happens in your AI client of choice.

AI agent reading directly? Same data lives at /api/jobs.json?page=2&q=Thought+Machine&verified_benefits_only=true. See /llms.txt and /api/openapi.json for the full schema.