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  • Posted: Jun 11, 2024
    Deadline: Not specified
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    Google is an American multinational technology company specializing in Internet-related services and products that include online advertising technologies, search, cloud computing, software, and hardware.
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    Google Research Product Lead

    Minimum qualifications:

    • Bachelor's degree or equivalent practical experience.
    • 8 years of experience in product management, consulting, co-founder or related technical role.
    • 3 years of experience building and shipping technical products.

    Preferred qualifications:

    • Master’s degree or PhD in a technology or business related field.
    • 5 years of experience working cross-functionally with engineering, UX/UI, sales, finance, and other stakeholders.
    • 5 years of experience in a business function or role (e.g., strategic marketing, business operations, consulting).
    • 4 years of experience in a role preparing and delivering technical presentations to senior leadership.
    • 3 years of experience in software development or engineering.
    • Domain knowledge in the research domain, including publication.

    About The Job

    • At Google, we put our users first. The world is always changing, so we need Product Managers who are continuously adapting and excited to work on products that affect millions of people every day.
    • In this role, you will work cross-functionally to guide products from conception to launch by connecting the technical and business worlds. You can break down complex problems into steps that drive product development.
    • One of the many reasons Google consistently brings innovative, world-changing products to market is because of the collaborative work we do in Product Management. Our team works closely with creative engineers, designers, marketers, etc. to help design and develop technologies that improve access to the world's information. We're responsible for guiding products throughout the execution cycle, focusing specifically on analyzing, positioning, packaging, promoting, and tailoring our solutions to our users.
    • Google Research addresses challenges that define the technology of today and tomorrow. From conducting fundamental research to influencing product development, our research teams have the opportunity to impact technology used by billions of people every day.
    • Our teams aspire to make discoveries that impact everyone, and core to our approach is sharing our research and tools to fuel progress in the field -- we publish regularly in academic journals, release projects as open source, and apply research to Google products.


    • Understand markets, competition, and user requirements in depth.
    • Launch new products and features, test their performance, and iterate quickly.
    • Work collaboratively with engineering, marketing, legal, UX, and other teams on cutting edge technologies.
    • Develop solutions to problems by collaborating as needed across regions, product areas, and functions.

    go to method of application »

    Research Engineer, Machine Learning, Google Research

    Minimum qualifications:

    • Bachelor’s degree or equivalent practical experience.
    • Typically 2 years of experience with software development in Python or other programming languages relevant for Artificial Intelligence development, or 1 year of experience with an advanced degree.
    • Typically 2 years of experience with Machine Learning algorithms and tools (e.g., TensorFlow).
    • Experience contributing to artificial intelligence research communities including publishing in forums (e.g., ICML, ICLR, CVPR, NeurIPS, ICCV/ECCV, BMVC).

    Preferred qualifications:

    • PhD in Computer Science, a related technical field, or equivalent practical experience.
    • Experience in developing accessible technologies.
    • Knowledge of linear algebra, statistics, and calculus relating to the underlying principles of Artificial Intelligence algorithms.

    About the job

    • Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
    • As a Research Engineer for Google Research Africa, you will be working together with other Artificial Intelligence researchers to translate theoretical models and concepts into AI solutions that are relevant to the African continent.
    • Google Research is building the next generation of intelligent systems for all Google products. To achieve this, we’re working on projects that utilize the latest computer science techniques developed by skilled software developers and research scientists. Google Research teams collaborate closely with other teams across Google, maintaining the flexibility and versatility required to adapt new projects and foci that meet the demands of the world's fast-paced business needs.


    • Develop rapid prototypes to assess the feasibility and performance of potential Artificial Intelligence solutions.
    • Design robust pipelines for taking Artificial Intelligence models from the research stage to production-level systems within African organizations.
    • Collaborate on sourcing, cleaning, and preparing datasets unique to African contexts, ensuring they are suitable for Artificial Intelligence training and evaluation.
    • Build tools and APIs that help researchers and other stakeholders interact with and understand the outcomes of Artificial Intelligence models.
    • Contribute to open-source Artificial Intelligence initiatives within Africa, create documentation, and train others on the use of developed Artificial Intelligence software systems.

    Method of Application

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