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Software Engineer, Machine Learning - Papers with Code

Location: London
Company: Facebook
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Intro:
Facebook's mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we're building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together. Whether we're creating new products or helping a small business expand its reach, people at Facebook are builders at heart. Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities - we're just getting started.
Summary:
Facebook is seeking a Lead/Senior machine learning engineer to join our Papers with Code (paperswithcode.com) engineering team. Papers with Code is a free resource for researchers and practitioners to find and follow the latest state-of-the-art ML papers and code. It is the biggest repository of papers, code, benchmarks, results, methods and datasets in one place. We aim to improve reproducibility across the ML community, and help organise all knowledge in ML into a single resource.
Required Skills:
- This is a hybrid role that involves both NLP model development (50%) and web development (50%). You will not only be solving problems for the global ML community using ML, but also putting these models into production and making product decisions.
- Leading and independently creating new features and products for Papers with Code.
- Have freedom to experiment and come up with new products and features with broad impact.
Minimum Qualifications:
- Machine Learning or NLP experience, using modern frameworks and tools.
- Web development experience, preferably in Python/Django and React.
- Proven ability to translate insights into products.
- Experience of demonstrating technical leadership working with teams, owning projects, defining and setting technical direction for projects.
Preferred Qualifications:
- MS degree in Computer Science or related quantitative field with experience in machine learning related work or research, or PhD degree in Computer Science or related quantitative field.
- Extensive machine Learning experience, preferably in developing NLP models using modern NLP tools and state-of-the-art models.
Industry: Internet
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