We are looking for an experienced NLU engineer to join our ambitious and fast growing team. We are developing the next generation of NLU tools for enabling the next killer application for voice. You have built cool real world NLU applications, know the latest technologies and sometimes get frustrated of their limitations. You will be working very closely with our CTO, who has been developing Apple Siri.

You will be part of our fast growing NLU team responsible for:

• Working closely together with our CTO and implementing NLU algorithms
• Developing our NLU APIs and developer tools
• Helping build scalable reusable NLU tools for internal and external use
• Contributing to interesting pilot projects

You will be a great candidate for this position if you have:

• Experience in implementing real world NLU applications
• Experience or at least passion for modern machine learning based NLU approaches
• Good programming skills to develop and prototype ML systems
• Ability to learn new domains fast and independently
• Analytical mindset
• Good team work skills

We expect you to know most of the following tools and technologies and be eager and capable of learning fast:

• Programming languages: Python, Javascript, C/C++, Java
• Machine learning: PyTorch, TensorFlow or similar
• NLU: Language modeling, POS tagging, Entity detection, Parsing, Lemmatization, Embeddings, FST

We can offer you a once in a lifetime opportunity to build something amazing with us, and of course also:

• Opportunity to work with state-of-the-art technologies
• Competitive salary
• Employee equity plan
• Liberal remote work policy
• Attractive perks and benefits
• Awesome office space
• Top-notch kit (latest Macs etc)
• Opportunity to work with and learn from a world class & fun team
• Opportunity to contribute into creating our culture

How to apply

Please submit your resume and cover letter to careers@speechly.com. Please list in your cover letter practical examples where you have programmed NLU solutions and which programming languages and technologies did you use and why. Also list the languages you have done NLU for.