FewerJobs.

Elevenlabs jobs

4 matches, filter-driven and evidence-linked.

Reset
Showing 4 high-confidence listings. 0 additional listings are hidden by default. Show all
24 shown of 4

Benefit evidence

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

    Ecolab - IND - Karnataka - Bangalore - EDC
    Indexed from Workday Benefit evidence checked Jun 7, 2026
    posted 66 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 67 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

  • Lead AI Engineer

    Ecolab - IND - Karnataka - Bangalore - EDC
    Indexed from Workday Benefit evidence checked Jun 7, 2026
    posted 59 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

  • AI Engineer

    Ecolab - IND - Karnataka - Bangalore - EDC
    Indexed from Workday Benefit evidence checked Jun 7, 2026
    posted 59 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

  • Assoc Dir-AI Science

    Verizon Communications - Hyderabad, India
    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: 8 wksource Resolvable source Verified non-birth-parent leave: 8 wksource Salary not disclosed Equity Inferred from posting 401(k) reported

    Assoc Dir-AI Science Hyderabad, India posted: Posted 9 Days Ago

  • Integration Engineer I IBM Middleware

    Leidos - Canberra, Australian Capital Territory, Australia
    Indexed from Workday Benefit evidence checked May 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: 4 wksource Resolvable source Verified non-birth-parent leave: 4 wksource Salary not disclosed Equity Inferred from posting 401(k) reported

    Integration Engineer I IBM Middleware Canberra, Australian Capital Territory, Australia posted: Posted 10 Days Ago

  • Experience Designer - UI/UX

    Salesforce - Ireland - Dublin
    Indexed from Phenom Umbraco Benefit evidence checked May 7, 2026
    posted 76 days ago

    Why we showed this

    Title: semantic matchSource-backed benefits
    Unspecified Engineering From the posting source - Mid From the posting source Resolvable source Verified parental leave: 26 wksource Inferred from posting Verified non-birth-parent leave: 12 wk Salary not disclosed Equity Inferred from posting 401(k) reported

    Experience Designer - UI/UX Ireland - Dublin About Salesforce Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword - it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic era? You're in the right place! Agentforce is the future of AI, and you are the future of Salesforce. Overview The Solutions Center of Excellence team is seeking an Experience Designer to design intuitive, high-quality demo experiences and tooling that enable Solutions Engineers and Sales teams to effectively communicate our products. In this role, you will work alongside Product, Engineering, and stakeholders to understand user needs, translate complex product capabilities into clear and compelling demo experiences, and design solutions grounded in insight and aligned to product strategy. You will work across the full design process - from discovery, through prototyping, testing, and delivery - helping to improve the clarity, consistency, and effectiveness of our demo ecosystem. Our design team plays a strategic role in creating polished demo experiences and internal tools that help Solution Engineers communicate product value in high-stakes sales and customer-facing moments. You will help ensure our demos are intuitive, scalable, and evidence-led, enabling

  • Applied Scientist, Edge AI and Science

    Amazon - Cambridge, England, GBR
    Indexed from Amazon Custom Benefit evidence checked Jun 7, 2026
    posted 63 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, Edge AI and Science Cambridge, England, GBR Amazon Devices is an inventive research and development company that designs and engineers high-profile devices like the Kindle family of products, Fire Tablets, Fire TV, Health & Wellness, Amazon Echo, and Astro products. This is an exciting opportunity to bring generative AI to Amazon's consumer products, both on-device at the edge and in the cloud. Our compression platform delivers 20x to 100x neural network compression, but using it well still takes weeks of hands-on learning and expert intuition. The Edge AI Model Studio team exists to change that. We become the expert users so partner teams don't have to: we turn compression science into reliable, production workflows, and we package the results into a library of compression-ready student architectures that partners can run on their own. Our north star is simple. Training-to-deployment should feel like pushing a button, not a month-long science project. We are looking for an Applied Scientist to join Model Studio and help compress the next generation of models for edge and cloud deployment across modalities, including large language models, vision-language models, speech and audio models, and omni models that reason jointly over text, audio, and video. You will apply and extend state-of-the-art compression recipes to real models, define the benchmarks and evaluation methodology that make trade-offs explicit, and build the reference implementations that let other teams deploy compressed models without our help. You will work backwards from deployment constraints such as memory, latency, throughput, power, and cost,

  • Principal IT Lab Integration Developer

    Regeneron Pharmaceuticals - RENSS - GLOBAL VIEW
    Indexed from Workday Benefit evidence checked May 7, 2026
    posted 63 days ago

    Why we showed this

    Title: semantic matchRole: semantic match
    +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

    Principal IT Lab Integration Developer RENSS - GLOBAL VIEW posted: Posted 4 Days Ago

  • Commercial AI & Digital Innovation Intern EM Asia

    Pfizer - Singapore - Mapletree Business City
    Indexed from Workday Benefit evidence checked May 7, 2026
    posted 86 days ago

    Why we showed this

    Title: semantic matchRole: semantic match
    +1
    Unspecified Marketing From the posting source - Entry 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

    Commercial AI & Digital Innovation Intern EM Asia Singapore - Mapletree Business City posted: Posted 27 Days Ago

  • Computer Scientist-I/II

    Adobe Inc. - Noida
    Indexed from Workday Benefit evidence checked May 7, 2026
    posted 70 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: 16 wksource Resolvable source Verified non-birth-parent leave: 16 wksource Salary not disclosed Equity Inferred from posting 401(k) reported

    Computer Scientist-I/II Noida posted: Posted 11 Days Ago

  • Computer Scientist-I

    Adobe Inc. - Noida
    Indexed from Workday Benefit evidence checked May 7, 2026
    posted 82 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: 16 wksource Resolvable source Verified non-birth-parent leave: 16 wksource Salary not disclosed Equity Inferred from posting 401(k) reported

    Computer Scientist-I Noida posted: Posted 23 Days Ago

  • Applied Scientist

    Amazon - Seattle, Washington, USA
    Indexed from Amazon Custom Benefit evidence checked Jun 7, 2026 Comp disclosed in posting
    posted 143 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 $143K-$193K 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

    Applied Scientist Seattle, Washington, USA At Amazon Selection and Catalog Systems (ASCS), our mission is to power the online buying experience for customers worldwide so they can find, discover, and buy any product they want. We innovate on behalf of our customers to ensure uniqueness and consistency of product identity and to infer relationships between products in Amazon Catalog to drive the selection gateway for the search and browse experiences on the website. We're solving a fundamental AI challenge: establishing product identity and relationships at unprecedented scale. Using Generative AI, Visual Language Models (VLMs), and multimodal reasoning, we determine what makes each product unique and how products relate to one another across Amazon's catalog. The scale is staggering: billions of products, petabytes of multimodal data, millions of sellers, dozens of languages, and infinite product diversity-from electronics to groceries to digital content. The research challenges are immense. GenAI and VLMs hold transformative promise for catalog understanding, but we operate where traditional methods fail: ambiguous problem spaces, incomplete and noisy data, inherent uncertainty, reasoning across both images and textual data, and explaining decisions at scale. Establishing product identities and groupings requires sophisticated models that reason across text, images, and structured data-while maintaining accuracy and trust for high-stakes business decisions affecting millions of customers daily. Amazon's Item and Relationship Platform group is looking for an innovative and customer-focused applied scientist to help us make the world's best product catalog even better. In this role, you will partner with technology and business leaders to

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

    CyberArk - Office - Israel - Tel Aviv
    Indexed from Workday Benefit evidence checked Jun 7, 2026
    posted 60 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

  • Principal Machine Learning Engineer - Evisort AI

    Workday, Inc. - 6 Locations
    Indexed from Workday Benefit evidence checked May 7, 2026
    posted 61 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: 12 wksource Resolvable source Verified non-birth-parent leave: 12 wksource Salary not disclosed Equity Inferred from posting 401(k) reported

    Principal Machine Learning Engineer - Evisort AI 6 Locations posted: Posted 2 Days Ago

  • Senior SDE, Luna Gen AI

    Amazon - Seattle, Washington, USA
    Indexed from Amazon Custom Benefit evidence checked Jun 7, 2026 Comp disclosed in posting
    posted 278 days ago

    Why we showed this

    Title: semantic matchSource-backed benefits
    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 $151K-$262K 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

    Senior SDE, Luna Gen AI Seattle, Washington, USA We are seeking a Senior Software Development Engineer to join our Gen AI & Strategic Initiatives team that spans our Amazon Luna business. You will be a critical early member as we drive towards two key areas of AI integration 1) to create new types of Gen AI native games and gameplay experiences and 2) to enhance productivity of our internal team through the adoption of best practices and tools as well as the creation of agents. As a Gen AI Technical Leader, you'll architect next-generation tools that will drive the adoption of transformative AI solutions for both external game developers as well as our internal engineering teams. You will be a hands-on builder who designs, develops, and operates the platform infrastructure to support both proprietary and third party models. Your expertise in distributed systems and API design will enable you to build resilient, performant solutions that abstract the complexity of multiple AI providers behind unified interfaces. In addition to creative primitives, you will also lead the work to implement agents for workstreams across Engineering, Martech, business intelligence and more. We're looking for a Senior Software Engineer with a developer-focused, customer-obsessed mindset, strong ownership mentality, and deep expertise in building production systems at scale. This is an exciting opportunity to excel in a dynamic, scrappy environment where you'll shape the future of gaming with AI. Key job responsibilities * Drive platform architecture decisions - Work closely with GenAI leadership to understand model

  • Associate Director, Digital Lab Orchestration

    Regeneron Pharmaceuticals - RENSS - GLOBAL VIEW
    Indexed from Workday Benefit evidence checked May 7, 2026
    posted 63 days ago

    Why we showed this

    Title: semantic matchRole: semantic match
    +1
    Unspecified Marketing 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, Digital Lab Orchestration RENSS - GLOBAL VIEW posted: Posted 4 Days Ago

  • Applied Scientist, EU INTech Consumer Selection Discovery, EU InTech Consumer Selection Discovery

    Amazon - Madrid, Community of Madrid, ESP
    Indexed from Amazon Custom Benefit evidence checked Jun 7, 2026
    posted 94 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, EU INTech Consumer Selection Discovery, EU InTech Consumer Selection Discovery Madrid, Community of Madrid, ESP Amazon's International Technology org in EU (EU INTech) is creating new ways for Amazon customers discovering Amazon catalog through new and innovative Customer experiences. Our vision is to provide the most relevant content and CX for their shopping mission. We are responsible for building the software and machine learning models to surface high quality and relevant content to the Amazon customers worldwide across the site. The team, mainly located in Madrid Technical Hub, London and Luxembourg, comprises Software Developer and ML Engineers, Applied Scientists, Product Managers, Technical Product Managers and UX Designers who are experts on several areas of ranking, computer vision, recommendations systems, Search as well as CX. Are you interested on how the experiences that fuel Catalog and Search are built to scale to customers WW? Are interesting on how we use state of the art AI to generate and provide the most relevant content? Key job responsibilities We are looking for Applied Scientists who are passionate to solve highly ambiguous and challenging problems at global scale. You will be responsible for major science challenges for our team, including working with text to image and image to text state of the art models to scale to enable new Customer Experiences WW. You will design, develop, deliver and support a variety of models in collaboration with a variety of roles and partner teams around the world. You will influence scientific direction and

  • Senior Software Development Engineer, Luna Gen AI

    Amazon - Seattle, Washington, USA
    Indexed from Amazon Custom Benefit evidence checked Jun 7, 2026 Comp disclosed in posting
    posted 266 days ago

    Why we showed this

    Title: semantic matchSource-backed benefits
    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 $168K-$227K 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

    Senior Software Development Engineer, Luna Gen AI Seattle, Washington, USA We are seeking a Senior Software Development Engineer to join our Gen AI & Strategic Initiatives team. You will be a critical early member as we drive two key areas of AI integration to 1) create new types of Gen AI native games and gameplay experiences; and 2) enhance productivity of internal teams through adoption of best practices, tools and creation of agentic solutions. You will architect next-generation AI solutions that will drive AI adoption for both external game developers and internal engineering teams. You will be a hands-on builder who designs, develops, and operates the infrastructure to support both proprietary and third party models. Your expertise in distributed systems and API design will enable you to build resilient, performant solutions that abstract the complexity of multiple AI providers behind unified interfaces. You will build intelligent agents and AI-powered solutions across Engineering, Marketing Technology (Martech), and Business Intelligence. On the Martech side, you'll design systems that leverage Gen AI to optimize campaign workflows, personalize customer engagement, automate content generation, and enhance marketing analytics - helping Luna's growth and marketing teams work smarter and faster. We are looking for a highly collaborative team player with a developer-focused, customer-obsessed mindset, strong ownership mentality. Ambiguity motivates you to invent and solve problems. You are a passionate advocate for technological innovation who can influence cultural transformation and fundamentally shift how teams approach software development. You thrive in fast-paced, entrepreneurial environments and are comfortable owning

  • Senior Computer Scientist

    Adobe Inc. - Noida
    Indexed from Workday Benefit evidence checked May 7, 2026
    posted 59 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: 16 wksource Resolvable source Verified non-birth-parent leave: 16 wksource Salary not disclosed Equity Inferred from posting 401(k) reported

    Senior Computer Scientist Noida posted: Posted Today

  • Applied Scientist 5

    Adobe Inc. - 2 Locations
    Indexed from Workday Benefit evidence checked May 7, 2026
    posted 67 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: 16 wksource Resolvable source Verified non-birth-parent leave: 16 wksource Salary not disclosed Equity Inferred from posting 401(k) reported

    Applied Scientist 5 2 Locations posted: Posted 8 Days Ago

  • Creative Operations Lead, CSP Marketing

    Salesforce - Mexico - Mexico City
    Indexed from Phenom Umbraco Benefit evidence checked May 7, 2026
    posted 61 days ago

    Why we showed this

    Title: semantic matchSource-backed benefits
    Unspecified Operations From the posting source - Senior From the posting source Resolvable source Verified parental leave: 26 wksource Inferred from posting Verified non-birth-parent leave: 12 wk Salary not disclosed Equity Inferred from posting 401(k) reported

    Creative Operations Lead, CSP Marketing Mexico - Mexico City About This Role The Creative Operations Lead manages the full creative mix for CSP Marketing, directing agencies, AI tools, and the self-serve model - while owning the Bill of Materials as a living routing guide. This person does not do all the creative work. They make sure the right work goes to the right resource, at the right quality, every time. Priorities: 1. AI Innovation & Enablement: Pioneer the deployment of AI tools and automation to increase team bandwidth, automate routine production tasks, and ensure brand consistency across all creative output. 2. Strategic Leadership & Executive Engagement: Ensure a senior presence to lead executive-facing discussions, gain alignment on long-range strategic projects, and proactively manage senior stakeholder feedback. 3. Centralized Agency Model Management: Take full ownership of the agency/contractor model to drive organizational efficiencies and cost savings by streamlining delivery and auditing external spend. 4. End-to-End Creative Operational Ownership: Provide dedicated oversight for complex, long-range initiatives from inception through execution, ensuring momentum and mitigating timeline risks without requiring constant management intervention. Work across customer success and partner marketing to extend creative strategy and brand guidance across the org. 5. Team Delegation & Quality Control: Identify delegation opportunities for high-volume execution to contractors and agencies, and employees with interest. Consistent work review is still a necessary focus to ensure all assets remain on-brand. Train PMM on common tools and AI to help them self serve, such as Canva, Figma, video, etc. 6. Design

  • Staff AI/ML Engineer - Edge AI System

    Analog Devices - 6 Locations
    Indexed from Workday Benefit evidence checked May 7, 2026
    posted 90 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

    Staff AI/ML Engineer - Edge AI System 6 Locations posted: Posted 30+ Days Ago

  • Data Scientist

    Adobe Inc. - San Francisco
    Indexed from Workday Benefit evidence checked May 7, 2026
    posted 60 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: 16 wksource Resolvable source Verified non-birth-parent leave: 16 wksource Salary not disclosed Equity Inferred from posting 401(k) reported

    Data Scientist San Francisco posted: Posted Yesterday

Take this list with you

Download the 4 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?q=ElevenLabs&verified_benefits_only=true. See /llms.txt and /api/openapi.json for the full schema.