Job Description

Our customers say that finding the right candidates at the right time can be like finding a needle in a haystack. Sense, however, makes the whole process a lot less labor intensive for them. Agencies using Sense unlock the real power of recruiters, who don’t have to spend most of their time managing mechanical and repetitive tasks.

One of the most powerful tools in our portfolio is the virtual assistant, which we call Reva (Recruiting Virtual Assistant), aka the Chatbot. Reva today can handle tasks such as scheduling meetings, collecting information from candidates, find the best jobs for them based on this information, and even prescreen them. All conversations are fully designed by our customers, who can build, test, and send conversations to candidates or internal employees in a click of a button. But there's much more we (and our customers) want it to do. With a growing number of customers and use cases, we need your help making Reva better, smarter, and capable of understanding a lot more than it can today. If you are a seasoned ML engineer (or data scientists with experience in applied ML), you are passionate about dialog systems, natural language processing, and/or textual analysis, this is the right opportunity for you! RESPONSIBILITIES:

• Ship cutting-edge AI to businesses that traditionally haven't had access to it
• Iteratively improve an AI system with thousands of requests per day
• Work with Backend and Frontend engineers to ship features relying on ML predictions
• Work cross collaboratively with product managers and designers to improve and define product scope and design.
• Mentor other engineering team members through code reviews, pair programming etc.

Qualifications

• 5+ years experience with building machine learning systems in a professional setting, with 2+ years specialization in natural language processing
• Experience with Python and Keras/Tensorflow/Pytorch is recommended
• Experience with cleaning / processing / annotating data for training NLP models
• Experience with deep learning techniques in solving NLP problems for conversational assistants including language modeling, intent classification and entity recognition
• Experience with Modern NLP libraries such as spaCy, CoreNLP, Gensim, NLTK
• Interest to help shape the mission and roadmap of a team, and rallying others to join you
• Eagerness to share your ideas, and openness to those of others

LANGUAGES AND TECHNOLOGIES WE USE (AND TEACH):

• Python for development
• Keras/Tensorflow/Pytorch for training ML models
• SQL for storing and processing analytics data from the bot
• AWS for training and serving ML models

Additional Information

PERKS & BENEFITS

• Medical, dental, and vision insurance for employees and dependents
• 401K program to help you invest in your future
• Unlimited PTO to promote a healthy work-life harmony
• Equity

Sense is an equal opportunity employer. We believe that diversity, inclusion, and belonging is integral to our success, and do not discriminate based on race, color, religion, age, or any other basis protected by law.

All your information will be kept confidential according to EEO guidelines.