Sense is a diverse, collaborative team tackling one of the most universal challenges in todays workforce. With a mission to change the way companies engage with talent, were creating a better experience for employers, recruiters, and candidates. Your work at Sense will impact millions of people around the globe and will be instrumental in evolving an entire industry. Join us in shaping the workforce of the future!
Founded in 2015, Sense is a high-growth HR Tech SaaS startup with offices in the Bay Area and Bangalore. It has 150 team members, serves 500 customers, and has grown 100 PERCENT year-over-year since launch. We have raised over $40M in funding, backed by GV (Google), Accel, and Avataar Ventures.
As a part of the Sense team, youll play an active role in shaping and developing our products and processes. Our founders are lifelong entrepreneurs with a history of building, scaling, and successfully exiting large companies. At Sense, your career goals will be supported through active mentorship and learning and development opportunities. Were an experienced team and looking for great people to add to our team.
We care deeply about the success of our customers and strive to help them achieve their goals in inspiring and engaging with their workforce. Sense is seeking a Senior Machine Learning Engineer to deliver our contractor communication platform to the world's best places to work. Sense is a rapidly scaling company making this the best environment to take on ownership as well as learning how to grow a company.
The Chatbot team at Sense is building a Recruiting conversational assistant -- a virtual assistant to help job seekers find the right opportunity. Sense's chatbot is responsible for interactions with candidates for help gathering their relevant skills, updating their resumes and identifying those jobs for which they are best suited. We're excited to expand the Sense Chatbot with new skills to save candidates and recruiters as much time as we can, and we're excited to bring new capabilities such as interview scheduling and automated job & interview screening for a wide variety of roles.
We're looking for NLP engineers and data scientists, particularly those with an interest in dialog systems, natural language processing, and/or textual analysis.
Help design and develop novel chat systems within Sense
Build AI systems to handle millions of conversations
Work with Backend and web engineers to ship features.
Work cross collaboratively with product managers and designers to improve and define product scope and design.
Ship cutting-edge AI to businesses that traditionally haven't had access to it
6 years experience with building machine learning systems in a professional setting, with 2 years specialisation 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
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