We are looking for Senior Researcher for applied Machine Learning and Data Science in the Research & Innovation team at Chorus.ai. Our solution uses machine learning and AI to help people and companies to have better conversations. It is used by tens of thousands of people to improve their skills, help managers and team mates to coach, share information and facilitate better meetings.
As a Senior Researcher, you’ll join a team of experienced researchers, building Machine Learning features that power the Chorus platform. These include improving our in house Speech Recognition, Speaker Separation, Image Understanding and Indexing, NLP features and data science analytics.
This position is hands-on and requires programming skills (we write production grade code), ML understanding and the ability to learn new skills and frameworks (PyTorch, Kaldi, Spacy, and in general whatever works).
What You Will Do:
- Help customer-facing positions communicate better, by turning unstructured human conversations into actionable predictions and coaching opportunities.
- Translate business problems into Machine Learning projects, brainstorm to identify the best approach, and conduct hands-on research to weave together data, product thinking, and algorithms to generate business value.
- Write production-grade code that serves top brands.
- Continuously evolve and help others evolve professionally, through joint work and mentoring, staying up-to-date with the latest ML developments.
- Use the generated data to produce impactful insights for our customers.
What You Bring To the Table:
- Experience in ML, NLP, Vision or data science
- Excellent business understanding and communication skills
- Intimate familiarity with a variety of Machine Learning disciplines and algorithms
- A PhD or Master degree in machine learning, data analysis or statistics research
- Experience in the industry of 3+ years
We are looking for candidates who are passionate about achieving a deep understanding of the problems domains, creating solutions that work and working with engineering to deploy them.