Deep Learning Engineer

Berlin /
Engineering /
Full Time
🙌 Who are we?

- Founded in Feb. 2020, raised $38M so far.
- A commercial opensource company focuses on cross-/multi-modal search intelligence.
- One of the high-valued & high-potential AI startups in the world.
- Forbes DACH AI30 2020, CBInsights AI 100 2021 & 2022.
- A global team of 50 with four offices: Berlin (HQ), San Jose, Shenzhen, and Beijing.

✨ Who do we want?

- You are passionate about building the next-generation of search intelligence and making it accessible to everyone.
- You want to work with the latest technologies and have a deep understanding of AI/ML.
- You are a team player and enjoy working in a collaborative environment.
- You are proactive and take ownership of your projects.
- You have excellent communication skills in English.

😉 Why join us?

1. You will be part of the team that is changing the way people search and think about search.
2. You will have the opportunity to work with the latest AI technology and help shape the future of search.
3. You will be part of a fun and friendly team that is passionate about making a difference.


💼 About this position


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
🎓 Numerous opportunities to present/attend top AI/OSS conference
🦄 Extensive development opportunities and an international team of experts
🏢 Central office in downtown Berlin, San Jose, Shenzhen, Beijing
⛱️ Free snacks & drinks, flexible working time, home office options
💻 Macbooks & top-notch equipment