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  • SDE II, Same Day Delivery

    Amazon - Bellevue, Washington, USA
    Indexed from Amazon Custom Benefit evidence checked Jun 7, 2026 Comp disclosed in posting
    posted 103 days ago

    Why we showed this

    Description: semantic matchSource-backed benefits
    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 $144K-$194K 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

    SDE II, Same Day Delivery Bellevue, Washington, USA Are you interested in helping Amazon make history and redefine the meaning of 'fast' in eCommerce? We are the Same Day Delivery Experience team and are in the early innings of reinventing the Amazon shopping experience to make Amazon the first place customers think to shop when they need something today, wherever they are in the world. We're looking for a Software Engineer for the Same Day Delivery Experience team to help ensure we have a compelling and friction-free 'delivery in hours' experience available to our customers, and help drive continuous innovation and improvement of the delivery experience across all phases of shopping, buying, and pre and post purchase experience. This role is at the forefront of Generative AI innovation within the Sub-Same Day organization. As part of the LLM Foundations team, you will design, build, and scale AI-powered tools that leverage Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Natural Language Processing (NLP), prompt engineering, and agentic AI workflows to enhance customer experience and protect. Key job responsibilities: Designing and building AI-powered tools leveraging LLMs, RAG architectures, vector databases, prompt engineering, and agentic orchestration for customer-facing and internal applications. Developing and optimizing retrieval pipelines, embedding models, and context-augmented generation systems to deliver accurate, grounded AI outputs. Prototyping and iterating on new Agentic AI capabilities including fine-tuning, few-shot learning, chain-of-thought reasoning, and tool-use patterns Working with team members on design approaches for scalable AI/ML systems that serve the Same Day Delivery network. Diving

  • Machine Learning Engineer

    Adobe Inc. - San Jose
    Indexed from Workday Benefit evidence checked May 7, 2026
    posted 72 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

    Machine Learning Engineer San Jose posted: Posted 8 Days Ago

  • Machine Learning Engineer/Senior Machine Learning Engineer - Evisort

    Workday, 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 - 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

    Machine Learning Engineer/Senior Machine Learning Engineer - Evisort 2 Locations posted: Posted 3 Days Ago

  • Machine Learning Engineer

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

    Machine Learning Engineer 2 Locations posted: Posted 4 Days Ago

  • Sr. Machine Learning Engineer 4

    Adobe Inc. - 2 Locations
    Indexed from Workday Benefit evidence checked May 7, 2026
    posted 68 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

    Sr. Machine Learning Engineer 4 2 Locations posted: Posted 4 Days Ago

  • Senior Machine Learning Engineer

    Adobe Inc. - 3 Locations
    Indexed from Workday Benefit evidence checked May 7, 2026
    posted 95 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 Machine Learning Engineer 3 Locations posted: Posted 30+ Days Ago

  • Machine Learning Engineer

    Adobe Inc. - San Jose
    Indexed from Workday Benefit evidence checked May 7, 2026
    posted 71 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: 16 wksource Resolvable source Verified non-birth-parent leave: 16 wksource Salary not disclosed Equity Inferred from posting 401(k) reported

    Machine Learning Engineer San Jose posted: Posted 7 Days Ago

  • Consulting AI & Data Platform

    Oracle - Brazil, BR
    Indexed from Oracle Custom Benefit evidence checked May 7, 2026
    posted 73 days ago

    Why we showed this

    Source-backed benefits
    Unspecified Data From the posting source - Senior From the posting source Resolvable source Verified parental leave: 14 wksource Resolvable source Verified non-birth-parent leave: 14 wksource Salary not disclosed Equity Inferred from posting 401(k) reported

    Consulting AI & Data Platform Brazil, BR The professional will be responsible for connecting AI strategy, Oracle AIDP, OCI, Generative AI, data platforms, solution architecture, delivery execution, reusable assets, and commercial acceleration. The ideal candidate must be able to engage executives, challenge weak assumptions, translate business problems into AI solutions, lead technical teams without ambiguity, and convert AI demand into qualified opportunities, prototypes, proposals, and scalable delivery programs. This is a senior role requiring strong executive presence, hands-on AI credibility, commercial attitude, and the ability to operate effectively across Presales, Delivery, Product, and customer stakeholders. Responsibilities • Lead the AI strategy for the Oracle AIDP service practice across LATAM, including Generative AI, RAG, agents, analytics, data modernization, and industry use cases. • Act as the senior AI authority in strategic opportunities, executive workshops, engagements, architecture reviews, and proposal defense. • Translate business challenges into AI solutions with clear value hypotheses, KPIs, architecture, delivery scope, risks, and investment rationale. • Lead solution design for Oracle AIDP-based AI architectures, including Autonomous AI Database, Oracle AI Vector Search, OCI Generative AI, Data Integration, Lakehouse, Analytics, governance, and security. • Build reusable AI assets, including playbooks, demo patterns, reference architectures, estimation models, RAG templates, agent blueprints, and implementation accelerators. • Mentor and raise the technical bar for IC1-IC3 engineers, technical leads, project managers, and presales teams. • Support execution from qualification to prototype and commercial proposal, ensuring each engagement creates a credible path. • Establish AI delivery standards for responsible AI, security, privacy, model

  • Senior Software Engineer, AI Platform

    Samsara - Remote - CA
    Indexed from Greenhouse Benefit evidence checked Jun 7, 2026 Comp disclosed in posting
    posted 66 days ago

    Why we showed this

    Source-backed benefits
    Remote From the posting source Engineering From the posting source - Senior From the posting source Resolvable source Verified parental leave: 16 wksource Inferred from posting Verified non-birth-parent leave: 16 wk $131K-$198K From the posting source Inferred from posting Childcare support Inferred from posting Mental health support Inferred from posting Learning budget Equity Inferred from posting 401(k) reported

    Senior Software Engineer, AI Platform Remote - CA Who we are Samsara (NYSE: IOT) is the pioneer of the Connected Operations™ Cloud, which is a platform that enables organizations that depend on physical operations to harness Internet of Things (IoT) data to develop actionable insights and improve their operations. At Samsara, we are helping improve the safety, efficiency and sustainability of the physical operations that power our global economy. Representing more than 40% of global GDP, these industries are the infrastructure of our planet, including agriculture, construction, field services, transportation, and manufacturing - and we are excited to help digitally transform their operations at scale. Working at Samsara means you'll help define the future of physical operations and be on a team that's shaping an exciting array of product solutions, including Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, and Equipment Monitoring. As part of a recently public company, you'll have the autonomy and support to make an impact as we build for the long term. About the role: Samsara's Revenue Operations AI & Data Team is building the future of how we go to market - with intelligence, personalization, and speed. We're a high-impact team of builders, scientists, and strategists focused on transforming sales operations through AI. Our mission is to help sellers reach the right customer at the right time with the right message - and to put everything they need at their fingertips, whether that's data from Salesforce, context from a past call, or content that wins

  • Sr Machine Learning Engineer- ML Infrastructure & Data Platforms

    Adobe Inc. - 2 Locations
    Indexed from Workday Benefit evidence checked May 7, 2026
    posted 95 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

    Sr Machine Learning Engineer- ML Infrastructure & Data Platforms 2 Locations posted: Posted 30+ Days Ago

  • Software Engineer II, AI Platform

    Samsara - Remote - CA
    Indexed from Greenhouse Benefit evidence checked Jun 7, 2026 Comp disclosed in posting
    posted 66 days ago

    Why we showed this

    Source-backed benefits
    Remote From the posting source Engineering From the posting source - Mid From the posting source Resolvable source Verified parental leave: 16 wksource Inferred from posting Verified non-birth-parent leave: 16 wk $114K-$172K From the posting source Inferred from posting Childcare support Inferred from posting Mental health support Inferred from posting Learning budget Equity Inferred from posting 401(k) reported

    Software Engineer II, AI Platform Remote - CA Who we are Samsara (NYSE: IOT) is the pioneer of the Connected Operations™ Cloud, which is a platform that enables organizations that depend on physical operations to harness Internet of Things (IoT) data to develop actionable insights and improve their operations. At Samsara, we are helping improve the safety, efficiency and sustainability of the physical operations that power our global economy. Representing more than 40% of global GDP, these industries are the infrastructure of our planet, including agriculture, construction, field services, transportation, and manufacturing - and we are excited to help digitally transform their operations at scale. Working at Samsara means you'll help define the future of physical operations and be on a team that's shaping an exciting array of product solutions, including Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, and Equipment Monitoring. As part of a recently public company, you'll have the autonomy and support to make an impact as we build for the long term. About the role: Samsara's Revenue Operations AI & Data Team is building the future of how we go to market - with intelligence, personalization, and speed. We're a high-impact team of builders, scientists, and strategists focused on transforming sales operations through AI. Our mission is to help sellers reach the right customer at the right time with the right message - and to put everything they need at their fingertips, whether that's data from Salesforce, context from a past call, or content that wins

  • Machine Learning Engineer, Firefly Services

    Adobe Inc. - 2 Locations
    Indexed from Workday Benefit evidence checked May 7, 2026
    posted 95 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: 16 wksource Resolvable source Verified non-birth-parent leave: 16 wksource Salary not disclosed Equity Inferred from posting 401(k) reported

    Machine Learning Engineer, Firefly Services 2 Locations posted: Posted 30+ Days Ago

  • AI Solutions Engineer

    Pinterest - San Francisco, CA, US; Remote, US
    Indexed from Greenhouse Benefit evidence checked Jun 7, 2026 Comp disclosed in posting
    posted 155 days ago

    Why we showed this

    Source-backed benefits
    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 $124K-$255K From the posting source Equity Inferred from posting 401(k) reported

    AI Solutions Engineer 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 . We're building a new capability at Pinterest: embedding AI-native engineering directly inside our business functions. The AI Solutions Engineer will partner with teams across Marketing, Finance, Sales, HR, Legal, and other functions to surface high-value automation opportunities, then design and ship the AI-powered tools that bring those opportunities to life. This

  • Machine Learning Engineer - II

    Adobe Inc. - 2 Locations
    Indexed from Workday Benefit evidence checked May 7, 2026
    posted 95 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: 16 wksource Resolvable source Verified non-birth-parent leave: 16 wksource Salary not disclosed Equity Inferred from posting 401(k) reported

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

  • Senior Security Engineer, Google Photos AI Security

    Google - Mountain View, CA, USA
    Indexed from Google Custom Benefit evidence checked May 7, 2026 Comp disclosed in posting
    posted 70 days ago

    Why we showed this

    Source-backed benefits
    Unspecified Data From the posting source - Senior From the posting source Resolvable source Verified parental leave: 18 wksource Resolvable source Verified non-birth-parent leave: 18 wksource $174K-$253K From the posting source Equity Inferred from posting 401(k) reported

    Senior Security Engineer, Google Photos AI Security Mountain View, CA, USA Our Security team works to create and maintain the safest operating environment for Google's users and developers. Security Engineers work with network equipment and actively monitor our systems for attacks and intrusions. In this role, you will also work with software engineers to proactively identify and fix security flaws and vulnerabilities. We are seeking a passionate and experienced engineer to join our Photos ISE team. In this role, you have the opportunity for wide influence on the 1 billion+ user product, the photos infrastructure, and the developers across the org. You will: Have the opportunity to drive the strategic direction of this complex and impactful space. Collaborate with security, infrastructure and product teams across Photos and the company to build scalable solutions. Solve open-ended problems, research, and apply innovative techniques to protect our users and product, such as AI/MI model, systems, and pipelines protection. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $174000 - $253000 (USD) + 15% bonus target + bonus + equity + benefits Learn more about benefits at Google . Contribute to develop the Photos security strategy alongside the other Photos security leads. Perform project security reviews for Photos. Review, develop, and implement secure operational practices to provide security guidance for engineers and support staff. Conduct threat assessments to identify vulnerabilities and new attack vectors against Photos infrastructure and products. Drive product vulnerability response and remediation, including repros,

  • Sr Machine Learning Engineer

    Amgen - India - Hyderabad
    Indexed from Workday Benefit evidence checked Jun 7, 2026
    posted 95 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: 6 wksource Resolvable source Verified non-birth-parent leave: 6 wksource Salary not disclosed Equity Inferred from posting 401(k) reported

    Sr Machine Learning Engineer India - Hyderabad posted: Posted 30+ Days Ago

  • Software Development Engineer, RDS Security Monitoring, RDS Security Monitoring

    Amazon - Vancouver, British Columbia, CAN
    Indexed from Amazon Custom Benefit evidence checked Jun 7, 2026 Comp disclosed in posting
    posted 65 days ago

    Why we showed this

    Source-backed benefits
    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 CAD 115K-192K 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

    Software Development Engineer, RDS Security Monitoring, RDS Security Monitoring Vancouver, British Columbia, CAN We are seeking a highly skilled, experienced, and motivated software engineer to join our mission to make AWS the best place to operate relational databases, especially in the world of agentic AI. The RDS Security Monitoring team owns features that help customers monitor their Aurora and RDS databases and surface security findings to address and mitigate various attack vectors. This is a rare opportunity to join a highly visible team that is delivering transformative agentic AI solutions to help customers protect their growing fleet of Aurora and RDS databases. To learn more about Amazon RDS and Aurora, visit: https://docs.aws.amazon.com/guardduty/latest/ug/rds-protection.html Key job responsibilities You will be responsible for developing a product that captures and analyzes security telemetry from Aurora and RDS databases and surfaces security findings to our customers. You will also be responsible for developing and operating agentic AI solutions that use that security telemetry to troubleshoot and mitigate security threats. This product operates on millions of instances and helps our customers monitor and protect their databases. This is an area that requires solving the hardest engineering challenges in distributed systems at massive scale. As a customer-facing AWS service, our solutions have to be solid, scalable, efficient, and highly fault tolerant. You will be responsible for all aspects of engineering, including development, testing, and deployment of these services. AWS operates large-scale, mission-critical workloads, so you need to be comfortable taking ownership of the operational excellence of your

  • Senior Applied Machine Learning Engineer

    Adobe Inc. - San Jose
    Indexed from Workday Benefit evidence checked May 7, 2026
    posted 91 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 Applied Machine Learning Engineer San Jose posted: Posted 27 Days Ago

  • Software Development Engineer II, Security Products

    Amazon - Austin, Texas, USA
    Indexed from Amazon Custom Benefit evidence checked Jun 7, 2026 Comp disclosed in posting
    posted 85 days ago

    Why we showed this

    Source-backed benefits
    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 $144K-$194K From the posting source Inferred from posting Adoption assistance Inferred from posting Surrogacy 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 II, Security Products Austin, Texas, USA Amazon Defensive Security's Threat Detection team provides threat detection coverage for all of Amazon. In other words, we're the people who keep Amazon secure from threat actors. We provide coverage to all of Amazon & it subsidiaries across endpoint, cloud, network and application vectors ensuring Amazon infrastructure and customers data is secured. We work on the most challenging problems that are influenced with thousands of variables- and we're on the lookout for talented individuals eager to make an impact. You'll be part of a diverse team spanning software and security engineering disciplines. You'll collaborate with leaders across Amazon Security to help us build complex threat detection product, delivering comprehensive threat detection coverage at optimal business costs. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Our product is at the forefront of innovating the sophisticated, low-latency, high-performance threat detection solutions. Our industry-leading solutions are critical to safeguarding Amazon's success and protecting customer data. The successful candidate is expected to contribute to all parts of the software development and deployment lifecycle, including design, development, documentation, testing and operations. They must possess strong verbal and written communication skills, be self-driven and deliver high quality results in a fast paced environment. They will also need to be proactive and jump on to the problems quickly to come out with innovative solutions and operate with minimal guidance. Key job responsibilities - Manage critical components of our

  • Principal Machine Learning Engineer - Evisort AI

    Workday, Inc. - 6 Locations
    Indexed from Workday Benefit evidence checked May 7, 2026
    posted 66 days ago

    Why we showed this

    Role: semantic matchSource-backed benefits
    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

  • SVP, Global SMB Marketing

    Salesforce - California - San Francisco; Washington - Seattle
    Indexed from Phenom Umbraco Benefit evidence checked May 7, 2026 Comp disclosed in posting
    posted 80 days ago

    Why we showed this

    Source-backed benefits
    Unspecified Marketing From the posting source - Staff Plus From the posting source Resolvable source Verified parental leave: 26 wksource Resolvable source Verified non-birth-parent leave: 12 wksource $373K-$465K From the posting source Equity Inferred from posting 401(k) reported

    SVP, Global SMB Marketing California - San Francisco; Washington - Seattle Salesforce is looking for a rare kind of marketing leader to run and transform our Global SMB Marketing business. This is not a traditional marketing role. This is a business leadership role. We need a builder/operator obsessed with growth. A leader who believes marketing should own outcomes, not activities. Someone who sees themselves as accountable for revenue, customer growth, market expansion, and business performance end-to-end. Someone who can operate at the intersection of product, sales, and AI agent automation. SMB is one of the most strategically important growth vectors for Salesforce. It is where future enterprise customers are born. It is where product adoption scales globally. It is where AI-driven growth models, digital customer journeys, and modern GTM systems are being reinvented in real time and path the way for the broader Salesforce transformation. This leader will own the global SMB marketing business across Salesforce's portfolio, leading the strategy and operating GTM that drives customer acquisition, adoption, lifecycle engagement, and revenue growth at scale. You will lead a modern, AI-powered growth organization spanning demand generation, digital acquisition, lifecycle and retention marketing, integrated campaigns, content, web, SEO, events, and growth experimentation. You will partner deeply with Product & Engineering, Sales, Data Science, and Customer Success to help shape not just how we market our products - but how customers experience and adopt Salesforce from day one. The right leader for this role is deeply customer obsessed, highly analytical, operationally rigorous,

  • Machine Learning Engineer, Adobe Firefly Services

    Adobe Inc. - 2 Locations
    Indexed from Workday Benefit evidence checked May 7, 2026
    posted 95 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: 16 wksource Resolvable source Verified non-birth-parent leave: 16 wksource Salary not disclosed Equity Inferred from posting 401(k) reported

    Machine Learning Engineer, Adobe Firefly Services 2 Locations posted: Posted 30+ Days Ago

  • Engineering Analyst, Google Ads, Trust and Safety

    Google - Seattle, WA, USA
    Indexed from Google Custom Benefit evidence checked May 7, 2026 Comp disclosed in posting
    posted 71 days ago

    Why we showed this

    Source-backed benefits
    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 $132K-$190K From the posting source Equity Inferred from posting 401(k) reported

    Engineering Analyst, Google Ads, Trust and Safety Seattle, WA, USA Trust & Safety team members are tasked with identifying and taking on the biggest problems that challenge the safety and integrity of our products. They use technical know-how, excellent problem-solving skills, user insights, and proactive communication to protect users and our partners from abuse across Google products like Search, Maps, Gmail, and Google Ads. On this team, you're a big-picture thinker and strategic team-player with a passion for doing what's right. You work globally and cross-functionally with Google engineers and product managers to identify and fight abuse and fraud cases at Google speed - with urgency. And you take pride in knowing that every day you are working hard to promote trust in Google and ensuring the highest levels of user safety. In this role, you will work with a team of analysts that assess and address threats against Google Ads accounts in the hijacking and scaled abuse space. You will identify and solve complex problems at scale and have strong investigative, technical and security skills. You will also work closely with engineering and product teams to make sure that you can quickly adapt our products and defenses against new threat vectors, to ensure a safe experience for users and advertisers. You will build, leverage and evaluate models and operations to solve cyber security and abuse problems. At Google we work hard to earn our users' trust every day. Trust & Safety is Google's team of abuse fighting and user

  • Machine Learning Engineer

    Adobe Inc. - San Jose
    Indexed from Workday Benefit evidence checked May 7, 2026
    posted 95 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: 16 wksource Resolvable source Verified non-birth-parent leave: 16 wksource Salary not disclosed Equity Inferred from posting 401(k) reported

    Machine Learning Engineer San Jose posted: Posted 30+ Days Ago

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