NLP Engineer

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

We are focused on building the world's first Natural Language Interface for data analysis. Robust natural language understanding and semantic parsing sits at the core of our efforts to create the future of analytic tooling. We're transforming academic and lab AI experiments into enterprise-ready products.

This is an opportunity to work on the full lifecycle of an AI solution. You're going to wear many hats, research cutting-edge NLP techniques, and grapple with a variety of technical challenges in a fast-paced startup environment. Rogo is looking for engineers who can take problems into their own hands, and prototype, iterate, and ship quickly.

You'd be perfect for this role if you're passionate about natural language processing, aren't afraid to get your hands dirty, and are comfortable taking on a lot of responsibility. If that sounds like a lot, it's because it is. We're building the future of data analytics and we need engineers who are zealous about our technology, our mission, and our company.

What you'll do

• Follow NLP research and apply it to create a robust ensemble algorithm for translating normal English questions into executable commands (semantic parsing)
• Own ML models end-to-end, from collecting training data to deploying in production
• Prototype quickly with cutting edge NLP technologies
• Work on grammar-based and Seq2Seq-based approaches for semantic parsing
• Create the future of natural language interfaces

What you'll need

• 2+ years industry experience working in software, machine learning, or a related field
• Academic or industry experience working on NLP projects
• Solid understanding of algorithmic and CS fundamentals related to Machine Learning 
• Robust understanding of core NLP concepts, such as language modeling, grammar, syntactic parsing, etc
• Experience writing maintainable, testable, production-grade code in one or more general purpose languages (Java, C/C++, Python, etc)
• BS, MS or PhD in Computer Science, Engineering or a related technical field

If you're excited about our mission but don't meet 100% of the qualifications above, we still encourage you to apply.