Sr. Machine Learning Engineer


San Francisco, CA, US
  • Job Type: Full-Time
  • Function: Data Science
  • Post Date: 04/10/2021
  • Website:
  • Company Address:

About Sense

Sense’s automated communication and engagement technology powers the next generation of great staffing companies, From 2-way texting for recruiters to NPS; from redeployment and recruitment marketing to candidate engagement; Sense is the only all-in-one solution built for staffing. Sense turbocharges recruiting, marketing and contractor care teams to dramatically improve the candidate experience, lower contractor attrition and increase redeployment.

Job Description

Company Description

At Sense, we are transforming the candidate experience for the World's Best Places to Work. Independent workers now make up nearly 31% of the US workforce, and we are reinventing the way companies build long-term relationships with this workforce by creating the industry's first contractor communication and engagement platform to drastically improve communication and job satisfaction. We believe this type of work is only going to get more common and the experience can be much better for the candidates and contractors.

Job Description

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



    5+ 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

Additional Information

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

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Disclaimer: Local Candidates Only
This company does NOT accept candidates from outside recruiting firms. Agency contacts are not welcome.