Senior Backend Engineer - Machine Learning at BRYTER
Remote › 100% remote position (in European timezone)(Posted Feb 16 2021)
About the company We enable experts to deliver knowledge, by empowering them to build and distribute powerful applications. Our software is intuitive and simple enough for non-IT-experts to understand within minutes, yet powerful enough and enterprise-ready for industries with complex reasoning and demanding use cases.
We especially cater to experts in law, finance, tax and compliance by helping them automate and standardise decision making.
## What we’re looking for
We are looking for a Backend Engineer experienced in building scalable Machine Learning-based applications. The goal of the team you’d be working in is enabling users to create custom-made information-retrieval algorithms on Legal documents by providing annotated data. In that regard, any interest or relevant experience in Natural Language Processing or Neural Network design is a big plus. Also, runtime performance is important to us, so we’d love it if you can help us ensure our algorithms have short execution times.
## Your Role
You’d be joining a small and early-stage team at BRYTER. Thus, together with us, you have a lot of freedom and a lot of responsibility to shape how the team is working technically and culturally.
This includes the infrastructure for the communication between our customers’ and existing and future backends. But also the integration of third party providers and the proper handling of potentially high-volume training data. If you bring experience and/or interest you can also contribute to designing, examining, evaluating and improving self-learning information retrieval algorithms.
For us your most important skill is your capability to build trusting relationships, to allow for clear and meaningful communication. You are keen to understand and empathize with different cross-functional perspectives, yet you know how to make your case and argue well.
On the technical side we expect you’re proficient in Python and in the most libraries, such as PyTorch, Tensorflow, Keras, Pandas, NumPy or SciPy. As we’re an early-stage team, and are looking for support in several areas, we hope you bring prior experience in architecting and designing a scalable Machine Learning based application.
You should have experience in discussing and making decision around the software architecture of machine-learning applications and cloud infrastructure.
It’s not necessary, yet it’d be great if you’re comfortable in dealing with algorithmic or statistical questions – and a big plus if you even enjoy it. You’d likely be a perfect fit for us, in case you bring some real-world experience in the realm of algorithms and statistics.
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