Machine Learning Engineer, AI / ML Start-up

/Machine Learning Engineer, AI / ML Start-up

Website MoTek Technologies

Sr. Machine Learning Engineer

In order to grow our Machine Learning team, tasked with developing and implementing innovative machine learning techniques, we are looking for:

What We Need
Develop new ML pipelines and improve on existing ones to help build products.
Work on various natural language problems such as language generation, language translation and multilingual analysis, text summarization, entity extraction.
Promote good testing and documentation standards within the team.
Mindful evaluation and introduction of new techniques and tools/libraries as it makes sense to do so.
Discussion with other teams to define product requirements and come up with possible solution
Teaching and learning

What We Offer
Abundance of interesting problems to solve still — we have made many gains but we’ve just scratched the surface of what we can accomplish!
Opportunity to drive your own ideas and have ownership of projects.
Ability to make a large impact on our products and in our company.
Fun, puzzle-loving office in the SF Financial District.

What You Have
Strong engineer with Python experience, with the expectation of gaining mastery.
3+ years experience with NLP problems.
Hands-on experience building ML/NLP pipelines for real-world problems that can scale to millions of documents.
Solid understanding of supervised and/or unsupervised machine learning systems and the underlying optimization algorithms.
Testing at the unit and integration level in a regression testing framework.
Ability to interpret higher-level problem descriptions and formulate appropriate models and algorithms (as part of a team).
Ability to grow and mentor an engineering team.

Bonus Points
C or C++ experience, especially Cython.
Experience with building knowledge bases.
Distributed computing and storage technology (preferably open-source) experience.
Experience with multi-lingual problem.
Experience with TensorFlow, Theano, Keras.
Experience with time series analysis and graphical models.
Developing for the GPU (e.g. CUDA).

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2017-09-21T21:31:11+00:00By |