Deep Learning Engineer (f/m/d)

Berlin /
Engineering /
Full Time
👐 About Us

Jina AI is a neural search company.

Our mission is to provide an open-source neural search ecosystem for businesses and developers, allowing everyone to search for information in all kinds of data with high availability and scalability. Found in February 2020, Jina AI has been recognized as one of the most promising startups in open-source AI software.

✨Who do we want?

- Be passionate about open source, AI and search;
- Work with strong craftsmanship and ownership;
- Be efficient and responsible on problem solving;
- Play along with colleagues and open source community;
- Speak and write good English.

💼 About This Position

As Deep Learning Engineer, your primary responsibility is to keep Jina framework (https://get.jina.ai) state-of-the-art, by adapting the latest deep learning, computer vision, natural language processing technologies from the academic and open-source community.

Responsibilities

    • Research and follow up the papers in the research domain. For instance, dense retrieval/image retrieval/short video retrieval etc.
    • Experiment with the effectiveness of the research and prototype with vanilla PyTorch, evaluate results on search tasks/metrics.
    • Integrate the prototype into the finetuner-core framework with high-quality code.
    • Build a user-friendly interface (SDK) to facilitate interacting with fine-tune tasks in the cloud and make sure the functionality is well documented.
    • Research training/inference optimization strategies, e.g. distributed training, model pruning, and quantization.
    • We want to keep our presence in both academia and industry. You’re welcome to prepare show & tell/talks and submit them to workshops/conferences/meetups.
    • Collaborate closely with the community and a multi-functional team of professional Software, DevOps Engineer as well as Developer Relations.

Required Qualifications

    • Master in Computer Science/Data Science/Artificial Intelligence or related degree.
    • Your research/work/thesis/internship should be related to the search or recommendation system by leveraging Machine Learning techniques. You understand the pros and cons of traditional search and neural search.
    • You either published papers or attend competitions and produce measurable results. You're able to follow and keep track of the latest development in the field.
    • In depth Python experience. You should be passionate about Pytorch. You are confident in bringing research ideas into production-level code.
    • Passionate about search & AI technologies. Open to collaborating with colleagues & external contributors.
    • Good English skills especially for writing and reading documentation.
    • Experience with Cloud-Native techniques and a good understanding of web services and modern software technologies would be a huge plus
😊 Benefits & Perks

💰Competitive Salary & Stock options
🌎 Multi-cultural & diverse team
🦄 Extensive development opportunities and an international team of experts
🏢 Central office in downtown Berlin
⛱️ Free snacks & drinks, flexible working time, home office options
💻 MacBook or top Linux device