Senior AI Researcher

Here's to a world without language barriers, with candidates with skills as varied as their stories.

Job details

  • Full-time
  • map markerLisbon, PT
  • cardRequires Work Permit
    Requires that you're a citizen or have a valid work permit / visa sponsorship to work in the country in which this position is based.
  • routeSenior
  • routeRequired language: English
  • Data Scientist
  • tagMust Have: Machine LearningOther Required: C++, PythonNice to Have: Agile Methodologies, Software Engineering

Apply now

Sign up to apply

Or sign up to refer and earn a reward of €300


Unbabel’s “Translation as a Service” platform allows modern enterprises to understand and be understood by their customers in dozens of languages.

Powered by AI and refined by a global community of tens of thousands of human linguists, Unbabel delivers professional-grade content at the scale required by modern enterprises like Facebook, Microsoft, Under Armour, Pinterest and Expedia.

Backed by Scale Venture Partners, Notion, Microsoft Ventures, Salesforce Ventures, Samsung NEXT and Y Combinator, Unbabel is accelerating the shift to a world without language barriers.

We are a diverse team, working everyday to build an outstanding organisational culture, based on strong values of transparency, team spirit and continuous learning, with a fast paced Silicon Valley atmosphere in the beautiful city of Lisbon, Portugal. 

To strengthen the Applied AI team, we are looking for a senior applied researcher with machine learning and natural language processing (NLP) experience to build, scale and maintain artificial intelligence (AI) services at Unbabel.  You'll be working closely with other AI researchers, software engineers, product managers, and data analysts in developing truly disruptive NLP products that are changing the way translation is done. The Applied AI team is responsible for the productization of the core AI platform and exploration of the new opportunities in NLP and AI.

You'll help create understanding by... 🗝

  • Conceiving, planning, and conducting applied research targeting to help address challenging problems in translation/localization domain
  • Designing, implementing, evaluating and optimizing novel ML and NLP algorithms and models that lead to improved performance of Unbabel applications in real world scenarios
  • Designing, prototyping and benchmarking algorithms that combine human & machine workers to train high quality ML models.
  • Working on large-scale datasets and create scalable and accurate systems in versatile languages / application fields
  • Suggesting, designing and building reusable tools to aid in rapid iteration and development.
  • Having a lot of fun hanging out with and being a part of the Unbabel team! 

Main requirements

You'll move the needle if you have... 🛠
  • PhD or MSc in data-driven, statistical and machine-learning based approaches to natural language processing is preferred
  • Minimum of either 3 years of experience in software engineering (preferred), industry research or post-doctoral experience
  • Hands on experience with various deep machine learning techniques and toolkits
  • Strong proficiency in python or C++
  • Knowledge of MT toolkits (Marian, OpenNMT and the like) and NLP libraries and tools (NLTK, SpaCy, CoreNLP) will be a big plus
  • Experience with agile software development preferred
  • High verbal and written communication in English (C1 CEFR level)
  • Strong verbal and written communication skills


We build our tower with love, dedication and... 💙

  • Competitive salary at one of Europe’s leading tech startups
  • Stimulating startup environment committed to diversity and inclusion
  • Individual budget for training and conferences
  • Individual budget to set up your workstation (mechanical keyboard, mouse, etc.)
  • Stock options
  • Health Insurance
  • MacBook and external monitor
  • Yearly company retreat
  • Healthy food (fruit, dairy & snacks) in the office
  • Free language courses
  • Surf trips every Thursday morning before work
  • Team lunch every Tuesday
  • Drinks and snacks every Friday 

Apply now

Sign up to apply

Or sign up to refer and earn a reward of €300