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  • Talent Management Partner, DeepMind (Fixed-Term Contract)

    DeepMind - London, UK; +1 more
    Indexed from Google Custom Benefit evidence checked May 7, 2026 Comp disclosed in posting
    posted 60 days ago

    Why we showed this

    Title: semantic matchRole: semantic match
    +1
    Unspecified Hr 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 $141K-$206K From the posting source Inferred from posting 401(k) reported

    Talent Management Partner, DeepMind (Fixed-Term Contract) London, UK; +1 more Artificial intelligence will be one of humanity's most transformative inventions. At DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve global issues and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer various learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $141000 - $206000 (USD) + 15% bonus target Learn more about benefits at Google . Craft and implement talent management strategies aligned with business objectives to boost talent engagement, career and performance. Collaborate closely across People and Culture (P&C), with Google counterparts, and executive leaders to assess talent needs and develop innovative, scalable talent solutions that deliver value without adding complexity. Leverage data and analytics to assess the impact of talent initiatives and make data-driven recommendations, in line with business priorities. Drive change management efforts related to talent initiatives, ensuring smooth adoption and integration into the organization. Function as a trusted thought partner, sharing industry insights to guide focus and decisions across talent and performance portfolio. Minimum qualifications: Bachelor's degree or equivalent practical experience. 6 years of experience in talent management, organizational development or HR. Preferred

  • Executive Policy Engagement Lead, DeepMind

    DeepMind - London, UK
    Indexed from Google Custom Benefit evidence checked May 7, 2026
    posted 74 days ago

    Why we showed this

    Title: semantic matchRole: semantic match
    +1
    Unspecified Other - Senior From the posting source Resolvable source Verified parental leave: 18 wksource Resolvable source Verified non-birth-parent leave: 18 wksource Salary not disclosed Inferred from posting 401(k) reported

    Executive Policy Engagement Lead, DeepMind London, UK In this role, you will be an experienced leader to co-design and scale DeepMind's Executive Policy Engagement function. You will help to set and drive the strategy for how DeepMind's executives build trust with governments and policymakers. You will own long-term engagement plans, brief and staff our executives for high-stakes events, and help to build an executive policy engagement function. You are an autonomous leader with advisory experience, operating expertly at the intersection of policy, communications, and executive management. You will collaborate closely and build trust with leaders in partner teams, including Communications and multiple executive offices. Artificial intelligence will be one of humanity's most transformative inventions. At DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Partner with leadership to build the executive policy engagement function. Own, design, and execute bespoke, long-term engagement strategies for our growing executive portfolio. Serve as the primary on-the-ground counsel for executives during international travel, providing real-time political insights and navigating stakeholder dynamics at major global forums. Draft researched briefing materials, speech content, and policy narratives to ensure

  • Talent Advisor

    Salesforce - India - Bangalore
    Indexed from Phenom Umbraco Benefit evidence checked May 7, 2026
    posted 65 days ago

    Why we showed this

    Title: semantic matchRole: semantic match
    +1
    Unspecified Hr From the posting source - Mid From the posting source Resolvable source Verified parental leave: 26 wksource Resolvable source Verified non-birth-parent leave: 12 wksource Salary not disclosed Equity Inferred from posting 401(k) reported

    Talent Advisor India - Bangalore TBD

  • AI Engineer

    Ecolab - IND - Karnataka - Bangalore - EDC
    Indexed from Workday Benefit evidence checked Jun 7, 2026
    posted 69 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: 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 8 Days Ago

  • AI Engineer

    Ecolab - IND - Karnataka - Bangalore - EDC
    Indexed from Workday Benefit evidence checked Jun 7, 2026
    posted 68 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: 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 7 Days Ago

  • AI Engineer

    Ecolab - IND - Karnataka - Bangalore - EDC
    Indexed from Workday Benefit evidence checked Jun 7, 2026
    posted 61 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: 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

  • Lead AI Engineer

    Ecolab - IND - Karnataka - Bangalore - EDC
    Indexed from Workday Benefit evidence checked Jun 7, 2026
    posted 62 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: 6 wksource Resolvable source Verified non-birth-parent leave: 6 wksource Salary not disclosed Equity Inferred from posting 401(k) reported

    Lead AI Engineer IND - Karnataka - Bangalore - EDC posted: Posted Yesterday

  • AI Engineer QA

    Ecolab - IND - Karnataka - Bangalore - EDC
    Indexed from Workday Benefit evidence checked Jun 7, 2026
    posted 61 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: 6 wksource Resolvable source Verified non-birth-parent leave: 6 wksource Salary not disclosed Equity Inferred from posting 401(k) reported

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

  • Executive Policy Engagement Manager, DeepMind

    DeepMind - London, UK
    Indexed from Google Custom Benefit evidence checked May 7, 2026
    posted 89 days ago

    Why we showed this

    Title: semantic matchRole: semantic match
    +1
    Unspecified Other - Senior From the posting source Resolvable source Verified parental leave: 18 wksource Resolvable source Verified non-birth-parent leave: 18 wksource Salary not disclosed Inferred from posting 401(k) reported

    Executive Policy Engagement Manager, DeepMind London, UK In this role, you will drive the implementation of our executives' policy engagement strategies, develop briefings, manage complex international engagements, and prepare our leadership for high-profile global events. You are a dynamic professional working at the intersection of policy, communications, and executive management. Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Collaborate with senior colleagues and executive offices to shape and drive the implementation of long-term policy engagement strategies for GDM executives. Draft briefing materials, talking points, and background notes. Brief executives ahead of critical engagements and provide on-the-ground support as part of a wider team. Develop tailored narratives and messaging to ensure all executive external communications are strategic, consistent, and highly impactful. Build and maintain an active network across government, think tanks, and industry partners to proactively support the delivery of the engagement strategy. Maintain the operational infrastructure including forward-planning, opportunity triage, and knowledge systems, while delivering concise, actionable updates on global policy and tech developments. Minimum qualifications: Bachelor's

  • Domain Consultant Cortex

    CyberArk - Casablanca, Morocco
    Indexed from Workday Benefit evidence checked Jun 7, 2026
    posted 92 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: 6 wksource Resolvable source Verified non-birth-parent leave: 6 wksource Salary not disclosed Inferred from posting 401(k) reported

    Domain Consultant Cortex Casablanca, Morocco posted: Posted 30+ Days Ago

  • Staff Android Engineer

    CVS Health Corporation - IRL - Galway
    Indexed from Workday Benefit evidence checked Jun 7, 2026
    posted 61 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: 4 wksource Resolvable source Verified non-birth-parent leave: 4 wksource Salary not disclosed Equity Inferred from posting 401(k) reported

    Staff Android Engineer IRL - Galway posted: Posted Today

  • Senior AI Engineer

    Ecolab - IND - Karnataka - Bangalore - EDC
    Indexed from Workday Benefit evidence checked Jun 7, 2026
    posted 92 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: 6 wksource Resolvable source Verified non-birth-parent leave: 6 wksource Salary not disclosed Equity Inferred from posting 401(k) reported

    Senior AI Engineer IND - Karnataka - Bangalore - EDC posted: Posted 30+ Days Ago

  • Lead AI Engineer

    Ecolab - IND - Karnataka - Bangalore - EDC
    Indexed from Workday Benefit evidence checked Jun 7, 2026
    posted 61 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: 6 wksource Resolvable source Verified non-birth-parent leave: 6 wksource Salary not disclosed Equity Inferred from posting 401(k) reported

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

  • Principal AI Engineer

    Ecolab - IND - Karnataka - Bangalore - EDC
    Indexed from Workday Benefit evidence checked Jun 7, 2026
    posted 92 days ago

    Why we showed this

    Title: semantic matchRole: semantic match
    +1
    Unspecified Data From the posting source - Staff Plus 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

    Principal AI Engineer IND - Karnataka - Bangalore - EDC posted: Posted 30+ Days Ago

  • Software Development Manager, Amazon Rufus

    Amazon - London, England, GBR
    Indexed from Amazon Custom Benefit evidence checked Jun 7, 2026
    posted 68 days ago

    Why we showed this

    Title: semantic matchRole: semantic match
    +1
    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 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 Manager, Amazon Rufus London, England, GBR Join us at Amazon as we reinvent shopping and search again! We're not just talking about improving the existing Amazon shopping experiences, we're building a brand-new world where shopping is effortless and intuitive through the power of generative AI. Leveraging state-of-the-art Large Language Models and generative AI, we're creating a live, two-way natural language conversational shopping and search experiences that are fast, helpful and trustworthy. As people turn to Amazon for deeper insights and understanding about products earlier and earlier in their shopping journeys, we're stepping up to the challenge by synthesizing complex information and multiple perspectives so customers can explore Amazon's vast catalog to find exactly the products that solve their particular needs. Imagine having a back and forth conversation with an AI assistant helping you to articulate a problem you're trying solve, effortlessly answering your product questions and giving you trustworthy advice and recommendations for what to buy. Also imagine a world where this same AI assistant reduces your mental load by proactively predicting and then fulfilling your shopping needs without you needing to interfere, thus saving you time and money along the way. We are building such an AI assistant to become the digital manifestation of the helpful salesperson that asks customers what they need, helps them navigate the store, waits unobtrusively while they look over the shelves, and helps them find complementary goods. What does economics have to teach this salesperson? Can we embed lessons from the behavioral

  • I/O Psychology Business Challenge Seminar

    The Procter & Gamble Company - CINCINNATI GENERAL OFFICES
    Indexed from Workday Benefit evidence checked May 7, 2026
    posted 92 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

    I/O Psychology Business Challenge Seminar CINCINNATI GENERAL OFFICES posted: Posted 30+ Days Ago

  • Identity Intelligence Instructor

    Leidos - McLean, VA
    Indexed from Workday Benefit evidence checked May 7, 2026
    posted 62 days ago

    Why we showed this

    Title: semantic matchRole: semantic match
    +1
    Unspecified Teaching Education From the posting source - Mid From the posting source Resolvable source Verified parental leave: 4 wksource Resolvable source Verified non-birth-parent leave: 4 wksource Salary not disclosed Equity Inferred from posting 401(k) reported

    Identity Intelligence Instructor McLean, VA 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 62 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, Insights, Prime Video

    Amazon - London, England, GBR
    Indexed from Amazon Custom Benefit evidence checked Jun 7, 2026
    posted 111 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: 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, Insights, Prime Video London, England, GBR Come build the future of entertainment with us. Are you interested in shaping the future of movies and television? Do you want to define the next generation of how and what Amazon customers are watching? Prime Video is a premium streaming service that offers customers a vast collection of TV shows and movies - all with the ease of finding what they love to watch in one place. We offer customers thousands of popular movies and TV shows including Amazon Originals and exclusive licensed content to exciting live sports events. We also offer our members the opportunity to subscribe to add-on channels which they can cancel at anytime and to rent or buy new release movies and TV box sets on the Prime Video Store. Prime Video is a fast-paced, growth business - available in over 200 countries and territories worldwide. The team works in a dynamic environment where innovating on behalf of our customers is at the heart of everything we do. If this sounds exciting to you, please read on. The Insights team is looking for an Applied Scientist for our London office experienced in generative AI and large models. This is a wide impact role working with development teams across the UK, India, and the US. This greenfield project will deliver features that reduce the operational load for internal Prime Video builders and for this, you will need to develop personalized recommendations for their services. You will have

  • AI Engineer

    Carrier Global - Ecospace Campus 3A, 4th Floor, Outer Ring Road, Bellandur, Bengaluru- 560103
    Indexed from Workday Benefit evidence checked May 7, 2026
    posted 62 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 Ecospace Campus 3A, 4th Floor, Outer Ring Road, Bellandur, Bengaluru- 560103 posted: Posted Yesterday

  • Senior / Principle Security Research - Agent ML Team (Cortex)

    CyberArk - Office - Israel - Tel Aviv
    Indexed from Workday Benefit evidence checked Jun 7, 2026
    posted 62 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: 6 wksource Resolvable source Verified non-birth-parent leave: 6 wksource Salary not disclosed Inferred from posting 401(k) reported

    Senior / Principle Security Research - Agent ML Team (Cortex) Office - Israel - Tel Aviv posted: Posted Yesterday

  • Applied Scientist, Personalization, Personalization

    Amazon - Haifa, Haifa, ISR
    Indexed from Amazon Custom Benefit evidence checked Jun 7, 2026
    posted 65 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: 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

    Applied Scientist, Personalization, Personalization Haifa, Haifa, ISR We are seeking an Applied Scientist to help build Amazon's next-generation customer memory and personalization systems. Are you interested in building systems that move beyond reacting to customer behavior, to actually understanding and remembering it over time? Our team is building Amazon's customer memory layer - a system that extracts, curates, and reasons over customer knowledge to power next-generation personalization. This includes transforming noisy, unstructured signals into durable, high-quality representations of customer preferences, intents, and life events, and using them in real time to improve customer experiences. We are part of Amazon's Personalization organization, a high-performing group that leverages large-scale machine learning, generative AI, and distributed systems to deliver highly relevant customer experiences. We tackle challenging problems at the intersection of information extraction, knowledge representation, LLM reasoning, and recommendation systems. Our systems operate under real-world constraints of scale, latency, and quality, requiring careful tradeoffs between precision, recall, and responsiveness. This team plays a central role in defining how Amazon understands its customers, and how that understanding is applied across the shopping experience. As an Applied Scientist, you will design and build ML and LLM-powered solutions for Amazon's customer memory and personalization systems. You will work on how customer knowledge is extracted, validated, and applied in production systems. You will own the end-to-end delivery of ML solutions, from problem formulation and modeling to offline and online experimentation, and production deployment at scale. You will deliver high-quality, scalable systems that power customer-facing experiences. You will

  • AI Engineer - Python

    Abbott Laboratories - Spain - Barcelona
    Indexed from Workday Benefit evidence checked May 7, 2026
    posted 92 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 - Python Spain - Barcelona posted: Posted 30+ Days Ago

  • AI Analyst (Support Agent)- Cortex

    CyberArk - Office - Israel - Tel Aviv
    Indexed from Workday Benefit evidence checked Jun 7, 2026
    posted 92 days ago

    Why we showed this

    Title: semantic matchRole: semantic match
    +1
    Unspecified Other - Mid From the posting source Resolvable source Verified parental leave: 6 wksource Resolvable source Verified non-birth-parent leave: 6 wksource Salary not disclosed Inferred from posting 401(k) reported

    AI Analyst (Support Agent)- Cortex Office - Israel - Tel Aviv posted: Posted 30+ Days Ago

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