Machine Learning Engineer
Who we are
At Emi Labs we are making the recruiting experience as easy, human and fair as possible for both candidates and companies at high-volume job openings. Emi, our main product, is an A.I. recruitment assistant that enables companies to engage in a conversation with each applicant to detect interested and qualified individuals.
We save recruitment team’s time by automating steps such as sourcing, screening and scheduling, freeing recruiters to focus on qualified candidates and converting hires. At the same time, candidates are all given an opportunity and are evaluated on their actual fit for the job.
We were part of Y-Combinator's Winter 2019 batch.
What you'll be doing
As Emi’s Machine Learning Engineer you will be creating data products that will help us be better at tasks like: interview scheduling, job recommendations, assistance prediction and candidate scoring.
The Machine Learning Engineer would be part of the Artificial Intelligence team, directly interacting with the Engineering and Product Development Teams in a young startup environment.
We especially value the ability to handle data from different data sources (PostgreSQL, APIs and MongoDB mostly) and to make decisions based on notions of return on investment, understanding the business impact of our work.
The AI team works mostly on Python (jupyter notebooks, sklearn, pandas, fastai, flask), so experience with these tools is largely valued.
- Designing and developing machine learning and deep learning systems
- Running machine learning tests and experiments
- Implementing ML algorithms as web services