NLP Lead

Netanya

,

Israel

Our Team’s mission statement

Our mission at SparkBeyond is harnessing humanity’s collective intelligence to solve the most important and impactful problems out there. After building a first-of-its-kind technology capable of automatically combining algorithms and structured datasets, and enabling deep discoveries, we’re now building the next pillar of SparkBeyond, written intelligence. We continuously strive for making significant breakthroughs, providing our clients with a best-performing, one of a kind, product and solving fundamental, real-world problems, across countless industries and domains.

Job Description

What will you do?

Lead the ideation, definition and technical execution of our NLP domain activities enabling our clients to make revolutionizing breakthroughs and discoveries.
Establish and position the NLP domain as a strategic technological frontier in a game-changing product.
Be in charge of making technological decisions, leading processes, choosing technologies.
Build a unique, multidisciplinary pioneering team.
Lead, mentor and grow team members personally and professionally.
Bring your analytical skills and curiosity to life through performing applied research in NLP.
Develop NLP based solutions from ideation to full production code, building software that implements AI algorithms while being robust, scalable and delivering high performance.
Work with various interfaces – Product, Full Stack Developers, Researchers, Data Scientists, UX and many more.
Unleash your creativity and passion for technology to create state of the art, one of a kind products.
Develop and implement state-of-the-art natural language processing pipelines.

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What will you need?

M.Sc. / Ph.D. in NLP / Machine Learning / equivalent practical experience.
5+ years of hands-on experience in NLP.
5+ hands-on Java / C# / Scala / Python programming experience.
Experience with state of the art deep learning-based NLP technologies
Experience in building production quality deployment of applications related to natural language processing.
Knowledge of machine learning techniques and algorithms and be able to apply them in data-driven natural language processing techniques.
Ability to rapidly prototype ideas/solutions, perform critical analysis, and use creative approaches for solving complex algorithmic problems.