Machine Learning / NLP Engineer

Responsibilities

• Lead the development of the core tool set for correcting, improving, and enhancing written English.
• Effectively apply NLP, machine learning, and deep learning technologies on a large scale.
• Implement reliable ML-based solutions for Linguix products, which are used regularly by hundreds of thousands of users.

Requirements

• Has experience in building neural networks working with written English.
• Can shape the R&D strategy and contribute to the technical culture of the company.
• Can come up with effective solutions based on the extensive knowledge of the machine learning and neural networks field. Can single out promising new technologies and apply them to ongoing tasks.
• Has solid software engineering fundamentals, and a firm understanding of the principles and best practices of developing software systems on a large scale.
• Has expertise in Python, its ecosystem, and Python-based ML tools and frameworks (Python, TensorFlow, Transformers, PyTorch, Numpy, Errant, FastAPI, NLTK, spaCy).

We offer

• Linguix is a startup, and we offer all the goodies startup employees usually have: flexible schedule, remote work, large autonomy, huge impact on the project's architecture and technological solutions as the team is still compact.
• We have great investors, established technology, and product/market fit. Linguix is a global project with ~220,000 users, paying customers, media coverage (e.g., Washington Post), and 10x year-to-year growth (with your help, we want to scale faster).
• People love Linguix: our average ratings in stores is 4.5/5, also, we’ve set a record for Eastern European startups by becoming #1 Product of the day on Product hunt three times.
• We pay in USD, an option program is in place. The company also sponsors educational activities and courses needed for your professional development.

This is a long-term full-time remote position.