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  • Machine Learning Engineer II, Computer Vision Applied Science

    Pinterest - San Francisco, CA, US; Remote, US
    Indexed from Greenhouse Benefit evidence checked Jun 7, 2026 Comp disclosed in posting
    posted 204 days ago

    Why we showed this

    Title: semantic matchTitle: "machine"
    +2
    Remote From the posting source 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 $139K-$286K From the posting source Equity Inferred from posting 401(k) reported

    Machine Learning Engineer II, Computer Vision Applied Science San Francisco, CA, US; Remote, US 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 . The Pinterest Labs group is dedicated to the development and research of applied machine learning. Our initiatives span a diverse range of AI/ML fields, including fundamental computer vision, multimodal large language models, multimodal representation learning, generative modeling, heterogeneous graph neural networks, and recommender systems. By building

  • Machine Learning Engineer, Amazon Tablets

    Amazon - Madrid, Community of Madrid, ESP
    Indexed from Amazon Custom Benefit evidence checked Jun 7, 2026
    posted 140 days ago

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    Description: "machine"Description: "thought"
    +3
    Unspecified Data 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 Salary not disclosed 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

    Machine Learning Engineer, Amazon Tablets Madrid, Community of Madrid, ESP At Amazon Devices & Services, we believe that ideas can change the world. We build the technology that becomes part of everyday life and connects millions of people in ways never thought possible. We engineer high-profile consumer electronics, including the best-selling Kindle family of products. We have also produced game-changing devices like Fire tablets, Fire TV, Amazon Dash, and Amazon Echo. Join us as a Software Development Engineer to help us imagine the future, and let's make it reality together. The Amazon Tablets Core Machine Learning team seeks to hire an ML Engineer who has a background in the design and development of scalable AI/ML systems, experience deploying models into production to serve millions of customers, a deep passion for building AI-driven products, and a proven track record of executing complex projects and delivering high business impact. You will be an early member of the team -- together with your team members, you will play a key role in establishing a strong foundation for customer-focused machine learning on the team. This role will provide you with the opportunity to drive impact at Amazon-scale, as well as work closely with with ML scientists in a cross-functional organization. The long-term vision of the team is to make Amazon devices effortlessly engaging for all our customers. We are creating an experience that understands why and when customers engage with different types of contents or take different actions, and build our products to foresee

  • Software Machine Learning Engineer (Universal Robots, Bangalore - India)

    Teradyne - Software Machine Learning Engineer (Universal Robots, Bangalore - India)
    Indexed from Successfactors Benefit evidence checked May 7, 2026
    posted 111 days ago

    Why we showed this

    Description: "thought"Description: "machine"
    +4
    Unspecified Engineering From the posting source - Mid From the posting source Inferred from posting Verified parental leave: 4 wk Inferred from posting Verified non-birth-parent leave: 4 wk Salary not disclosed Inferred from posting Childcare support Equity

    Software Machine Learning Engineer (Universal Robots, Bangalore - India) Software Machine Learning Engineer (Universal Robots, Bangalore - India) Our Purpose TERADYNE, where experience meets innovation and driving excellence in every connection. We are fueled by creativity and diversity of thought and in our workforce. Our employees are supported to innovate and learn something new every day. We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team - one that makes better decisions, drives innovation and delivers better business results. Opportunity Overview We are seeking a Software Engineer with AI/ML experience to join the AI Partnerships team in Bangalore, India. This mid-level role focuses on building, deploying, and maintaining the software systems and ML pipelines that connect advanced AI capabilities with Teradyne's robotics products and partner ecosystems. You will collaborate with machine learning researchers and robotics engineers to ensure that state-of-the-art AI models are delivered as robust, production-ready software for applications in robot manipulation, visual inspection, and autonomous mobile robots (AMRs) / mobile manipulators. This role emphasizes hands-on development, experimentation, and collaboration rather than technical leadership. You will own significant software modules end-to-end - from understanding the problem through designing, building, testing, and supporting them in production. Responsibilities Design and implement ML pipelines for training, evaluation, and de

  • Future Opportunity -- Machine Learning Engineer

    Intuitive Surgical, Inc. - Sunnyvale, CA, United States
    Indexed from Smartrecruiters Benefit evidence checked May 7, 2026
    posted 111 days ago

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    Description: "machine"Description: "thought"
    +3
    Unspecified Engineering 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

    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

  • Manager II, Machine Learning-Search

    Pinterest - San Francisco, CA, US; Remote, US
    Indexed from Greenhouse Benefit evidence checked Jun 7, 2026 Comp disclosed in posting
    posted 292 days ago

    Why we showed this

    Title: semantic matchTitle: "machine"
    +2
    Remote From the posting source 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 $189K-$390K From the posting source Equity Inferred from posting 401(k) reported

    Manager II, Machine Learning-Search San Francisco, CA, US; Remote, US 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 . Pinterest helps more than 450 million people discover new ideas to help design their life. Our users come to Pinterest to explore ideas and run more than 6 billion search queries every month. Many of these queries represent exploratory search intent and are broad, which means that the search system

  • Associate Director, Thought Leader Liaison - Northeast

    Indexed from Workday Benefit evidence checked May 7, 2026
    posted 115 days ago

    Why we showed this

    Description: "thought"Title: "thought"
    +2
    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 - Northeast 6 Locations posted: Posted 4 Days Ago

  • Sr. Mechanical Engineer, Annapurna Labs, Machine Learning Hardware

    Amazon - Austin, Texas, USA
    Indexed from Amazon Custom Benefit evidence checked Jun 7, 2026 Comp disclosed in posting
    posted 216 days ago

    Why we showed this

    Description: "machine"Description: "thought"
    +3
    Unspecified Engineering 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 $159K-$215K 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

    Sr. Mechanical Engineer, Annapurna Labs, Machine Learning Hardware Austin, Texas, USA Annapurna Labs (our organization within Amazon) 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 Machine Learning Acceleration team you'll be responsible for the design and optimization of hardware in our data centers. You'll provide leadership in 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 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 As a Thermal/Mechanical Engineer, you design and build the systems that are the heart of the world's largest and most powerful computing infrastructure. You develop from the lowest levels of circuit design to large system design and see those systems all the way through to high volume manufacturing. Your work has the potential to shape the machinery that goes into our cutting-edge

  • Senior Research Scientist, Machine Learning

    Analog Devices - US, MA, Wilmington
    Indexed from Workday Benefit evidence checked May 7, 2026
    posted 142 days ago

    Why we showed this

    Title: semantic matchTitle: "machine"
    +2
    Unspecified 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 Research Scientist, Machine Learning US, MA, Wilmington posted: Posted 30+ Days Ago

  • Mechanical Engineer, Annapurna Labs, Machine Learning Hardware

    Amazon - Austin, Texas, USA
    Indexed from Amazon Custom Benefit evidence checked Jun 7, 2026 Comp disclosed in posting
    posted 118 days ago

    Why we showed this

    Description: "thought"Description: "machine"
    +3
    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 $136K-$184K 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

    Mechanical Engineer, Annapurna Labs, Machine Learning Hardware Austin, Texas, USA Annapurna Labs (our organization within Amazon) 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 Machine Learning Acceleration team you'll be responsible for the design and optimization of hardware in our data centers. You'll provide leadership in 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 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 As a Thermal/Mechanical Engineer, you design and build the systems that are the heart of the world's largest and most powerful computing infrastructure. You develop from the lowest levels of circuit design to large system design and see those systems all the way through to high volume manufacturing. Your work has the potential to shape the machinery that goes into our cutting-edge data

  • Sr. Physical Design Engineer - Static Timing Analysis, Annapurna Labs, Cloud Scale Machine Learning

    Amazon - Cupertino, California, USA
    Indexed from Amazon Custom Benefit evidence checked Jun 7, 2026 Comp disclosed in posting
    posted 126 days ago

    Why we showed this

    Description: "thought"Description: "machine"
    +3
    Unspecified Engineering 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 $183K-$248K 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

    Sr. Physical Design Engineer - Static Timing Analysis, Annapurna Labs, Cloud Scale Machine Learning Cupertino, California, USA AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon's Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS's services and features apart in the industry. As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. We are seeking an experienced Sr. Physical Design STA Engineer to build the next generation of our cloud server platforms. Our success depends on our world-class infrastructure; we're handling massive scale and rapid integration of emergent technologies. 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

  • Software Machine Learning Engineer

    Teradyne - North Reading, MA
    Indexed from Successfactors Benefit evidence checked May 7, 2026 Comp disclosed in posting
    posted 111 days ago

    Why we showed this

    Description: "thought"Description: "machine"
    +3
    Unspecified Data From the posting source - Mid From the posting source Inferred from posting Verified parental leave: 4 wk Inferred from posting Verified non-birth-parent leave: 4 wk $116K-$186K From the posting source Inferred from posting Childcare support Equity

    Software Machine Learning Engineer North Reading, MA Our Purpose TERADYNE, where experience meets innovation and driving excellence in every connection. We are fueled by creativity and diversity of thought and in our workforce. Our employees are supported to innovate and learn something new every day. We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team - one that makes better decisions, drives innovation and delivers better business results. Opportunity Overview As a Machine Learning Engineer, you will design, develop, and deploy applied AI solutions with a good knowledge on graph machine learning, reinforcement learning, and interpretable AI. You will work closely with cross-functional teams to build scalable ML systems that model complex relationships in engineering data, optimize decision-making processes, and provide transparent, explainable insights. This role emphasizes hands-on development, experimentation, and collaboration rather than technical leadership. Design and implement pipelines for training, evaluation, and deployment of ML models. Apply graph ML methods to model relationships in structured and unstructured data. Build and experiment with reinforcement learning algorithms (e.g., policy gradients, PPO, Q-learning) for optimization and decision-making tasks. Incorporate interpretability and explainability techniques (e.g., SHAP, LIME, attention-based methods) into ML systems. Collabor

  • Principal, Thought Leadership Content Strategist

    Adobe Inc. - 5 Locations
    Indexed from Workday Benefit evidence checked May 7, 2026
    posted 142 days ago

    Why we showed this

    Description: "thought"Title: "thought"
    +2
    Unspecified Marketing From the posting source - Staff Plus 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

    Principal, Thought Leadership Content Strategist 5 Locations posted: Posted 30+ Days Ago

  • Senior Machine Learning Engineer, AI Platform

    Adobe Inc. - San Jose
    Indexed from Workday Benefit evidence checked May 7, 2026
    posted 142 days ago

    Why we showed this

    Title: semantic matchTitle: "machine"
    +2
    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, AI Platform San Jose posted: Posted 30+ Days Ago

  • Senior Machine Learning Engineer

    Workday, Inc. - 2 Locations
    Indexed from Workday Benefit evidence checked May 7, 2026
    posted 142 days ago

    Why we showed this

    Title: semantic matchTitle: "machine"
    +2
    Unspecified Data From the posting source - Senior 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

    Senior Machine Learning Engineer 2 Locations posted: Posted 30+ Days Ago

  • Research Scientist, Robotics, Embodied AI, DeepMind

    DeepMind - Mountain View, CA, USA
    Indexed from Google Custom Benefit evidence checked May 7, 2026 Comp disclosed in posting
    posted 119 days ago

    Why we showed this

    Title: semantic matchRole: semantic match
    +1
    Unspecified Engineering From the posting source - Mid From the posting source Resolvable source Verified parental leave: 18 wksource Resolvable source Verified non-birth-parent leave: 18 wksource $147K-$211K From the posting source Equity Inferred from posting 401(k) reported

    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

  • Research Scientist, Robotics, DeepMind

    DeepMind - Cambridge, MA, USA
    Indexed from Google Custom Benefit evidence checked May 7, 2026 Comp disclosed in posting
    posted 111 days ago

    Why we showed this

    Title: semantic matchRole: semantic match
    +1
    Unspecified Engineering From the posting source - Mid From the posting source Resolvable source Verified parental leave: 18 wksource Resolvable source Verified non-birth-parent leave: 18 wksource $147K-$211K From the posting source Equity Inferred from posting 401(k) reported

    Research Scientist, Robotics, DeepMind Cambridge, MA, 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 Google DeepMind Robotics, we are pioneering the integration of AI into the physical world to power an era of physical agents. By enabling robots to perceive, plan, think, use tools, and act, we empower them to solve increasingly tasks. In this role, you will focus on building foundation models, such as advanced vision-language-action (VLA) models, which combine Gemini's world understanding with physical actions to provide direct robotic control. These include Gemini Robotics, our most advanced Gemini model for the physical world, and Gemini Robotics On-Device, our fastest Gemini model that functions without a data network. These models allow robots to perform a broad range of tasks, respond interactively to their environment, achieve high dexterity, and reason over long, multi-step sequences. Beyond model building, we are committed to advancing general-purpose robotics, specifically in areas like agentic reasoning, real-world understanding, action generalization, human-robot interaction, dexterity, whole-body control, and continual learning. To deploy these innovations at scale, you will partner with key robotics companies to bring this intelligence to the physical world across a broad array of applications. Artificial intelligence will be one of humanity's most transformative

  • Sr Manager, Program Management , Relay Trust

    Amazon - Bellevue, Washington, USA
    Indexed from Amazon Custom Benefit evidence checked Jun 7, 2026 Comp disclosed in posting
    posted 246 days ago

    Why we showed this

    Description: "machine"Description: "thought"
    +2
    Unspecified Operations 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 $151K-$205K 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

    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

  • Senior AI Engineer (AI Factory)

    The Procter & Gamble Company - WARSAW DOWNTOWN OFFICE
    Indexed from Workday Benefit evidence checked May 7, 2026
    posted 125 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 (AI Factory) WARSAW DOWNTOWN OFFICE posted: Posted 14 Days Ago

  • Lead AI and Computer Vision specialist (f/m/d)

    Baker Hughes - IT-FI-FLORENCE-VIA FELICE MATTEUCCI 2
    Indexed from Workday Benefit evidence checked May 7, 2026
    posted 112 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: 12 wksource Resolvable source Verified non-birth-parent leave: 8 wksource Salary not disclosed Equity Inferred from posting 401(k) reported

    Lead AI and Computer Vision specialist (f/m/d) IT-FI-FLORENCE-VIA FELICE MATTEUCCI 2 posted: Posted Yesterday

  • Senior AI Engineer (f/m/d)

    Baker Hughes - IT-FI-FLORENCE-VIA FELICE MATTEUCCI 2
    Indexed from Workday Benefit evidence checked May 7, 2026
    posted 112 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: 12 wksource Resolvable source Verified non-birth-parent leave: 8 wksource Salary not disclosed Equity Inferred from posting 401(k) reported

    Senior AI Engineer (f/m/d) IT-FI-FLORENCE-VIA FELICE MATTEUCCI 2 posted: Posted Yesterday

  • Senior Applied Scientist , Buyer Risk Prevention (BRP)

    Amazon - Bengaluru, Karnataka, IND
    Indexed from Amazon Custom Benefit evidence checked Jun 7, 2026
    posted 122 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 Salary not disclosed 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

    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

  • Software Development Engineer, Public Sector Customer Engineering

    Amazon - Sydney, New South Wales, AUS
    Indexed from Amazon Custom Benefit evidence checked Jun 7, 2026
    posted 133 days ago

    Why we showed this

    Description: "thought"Description: "machine"
    +2
    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 Salary not disclosed 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

    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

  • Senior AI Platform Architect (Teradyne, North Reading)

    Teradyne - North Reading, MA
    Indexed from Successfactors Benefit evidence checked May 7, 2026 Comp disclosed in posting
    posted 111 days ago

    Why we showed this

    Description: semantic matchDescription: "thought"
    +2
    Unspecified Engineering From the posting source - Senior From the posting source Inferred from posting Verified parental leave: 4 wk Inferred from posting Verified non-birth-parent leave: 4 wk $140K-$224K From the posting source Inferred from posting Childcare support Equity

    Senior AI Platform Architect (Teradyne, North Reading) North Reading, MA We are the global test and automation specialists, powering next-generation technologies through sophisticated solutions. Behind every electronic device you use, Teradyne's test technology ensures your device works right the first time, every time! Our portfolio of automation solutions help manufacturers to develop and deliver products quickly, efficiently and cost-effectively. Together, Teradyne companies deliver manufacturing automation across industries and applications around the world! We attract, develop, and retain a high-performance workforce, comprised of people with diverse backgrounds and a shared drive for excellence. We strive to foster a positive and inclusive work environment that helps employees, and communities, thrive. Our Purpose TERADYNE, where experience meets innovation and driving excellence in every connection. We are fueled by creativity and diversity of thought and in our workforce. Our employees are supported to innovate and learn something new every day. We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team - one that makes better decisions, drives innovation and delivers better business results. Opportunity Overview As an AI Platform Architect II at Teradyne, you will be a pivotal leader at the forefront of our AI transformation. Reporting to the Enterprise AI Architect, your primary responsibility will be to design and e

  • Generative AI Design Expert

    Nike, Inc. - Beaverton, Oregon
    Indexed from Workday Benefit evidence checked Jun 7, 2026
    posted 142 days ago

    Why we showed this

    Title: semantic matchRole: semantic match
    +1
    Unspecified Design From the posting source - Mid 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

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

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