Boston, MA, USA
Natural Language Processing (NLP) Machine Learning Engineer
About this position
Luminoso is expanding its research team, hiring innovative research scientists with applied experience using machine learning to create state-of-the-art techniques in natural language understanding that provide value to our customers.
We use the latest techniques in vector-based semantics (including Deep Learning approaches), combined with a powerful knowledge graph, to push the boundaries of computers’ understanding of human language.
You will work with our Software Engineers, product team, and designers to discover, invent, and build techniques that work across multiple languages and multiple domains. You stay connected to your research roots as an active contributor to the wider research community, keeping up with the literature and publishing breakthrough results. Your work will involve modeling both the broad understanding that comes from up to terabytes of natural language data, and the targeted understanding that can be extracted from a smaller number of documents in a particular domain.
Problems to be solved include automatically organizing documents into explainable topics, discovering what makes one set of documents different from another, evaluating the correctness of knowledge in a knowledge base, and recognizing the intent of a user who is talking to an automated chat system. If you have an entrepreneurial spirit, are a self-starter, know how to deliver, love to work with data, and long for the opportunity to make computers understand people better in real-world situations, we want to talk with you.
This position is 100% remote for the foreseeable future.
Establish scalable, efficient, reproducible processes for large scale data analyses and model development
Manage the creation, development, and iterative improvement to data analyses, model development, and model implementation
Research and implement new approaches to machine learning
Use vector-based semantics and transfer learning to provide valuable insight into a customer’s line of business
Work closely with the software engineering team to implement new models that lead to new features
3+ years of hands-on text analytics experience developing machine learning models (including deep learning models) from experimentation to production.
We require the following minimum qualifications:
Master’s degree in CS, machine learning, statistics, or a highly quantitative field
Experience in natural language processing, machine learning and artificial intelligence
Expertise in some area of ML
Proficiency in Python and ML/NLP libraries
Comfortable with linear algebra
Background and experience in linguistics
Nice to haves:
Relevant work experience, including full time industry experience or as a researcher in a lab
Communication and data presentation skills
Experience working in a Linux environment
Familiarity with running deep learning algorithms on a GPU (graphics processing unit)
Familiarity with high-performance languages such as Rust, or Cython
Experience with PyTorch
Please apply by sending your resume to .
Luminoso builds text analytics products for analyzing conversational text data like support tickets, open-ended survey responses, and reviews. Using common-sense artificial intelligence to understand language, we empower organizations to discover, interpret, and act on what people are telling them. Requiring little setup, maintenance, or training, Luminoso combines world-leading natural language understanding technology with a vast knowledge base to learn words from context – like humans do – and instantly analyze text without libraries. Our products provide native support in 15 languages, so leaders can explore text data, make sense of feedback, and surface business-critical insights.
Luminoso is privately held and headquartered in Boston, MA.