Head of Machine Learning

Head of Machine Learning

Job Title: Head of Machine Learning
Contract Type: Permanent
Location: San Francisco, California
Salary: US$200000.00 - US$300000.00 per annum + ISO stock options
Start Date: ASAP
Reference: HQ00074027_1533907722
Contact Name: Tim Tirabassi
Contact Email:
Job Published: August 10, 2018 14:28

Job Description

The Head of Machine Learning will one of the most crucial hires for the organization. Reporting directly to the CEO you will be enabling the next generation of core machine learning algorithms, that will push the product capabilities even further. In collaboration with the engineering leadership team you will translate both customer needs and company goals into a road map for both machine learning and engineering platforms. As a leader, you will be responsible for mentoring and developing a strong fast-growing team of machine learning engineers.

The Machine Learning team build the core algorithms the power the organizations engines. Focusing on solving the hardest problems in Natural Language Processing, understanding and generation.

Recruit, mentor and develop machine learning experts.
Ensure the quality of our core machine learning platform - developing best practices in the team and keeping an eye on the state of the art.
Partner with executives and leadership to set the roadmap.
Lead long term investments in machine learning.
Develop presentations and technical discussions to evangelize and teach both within Primer and without.

M.Sc. or Ph.D. in computer science, statistics, computational linguistics, or other quantitative field.
8+ years of professional experience developing and deploying data and algorithm driven software products.
5+ years of managing teams of data scientists and engineers, and in sourcing candidates and hiring.
Experience with NLP and machine learning tools and libraries such as numpy, SpaCy, NLTK, Scikit-learn, Tensorflow, Keras.
Specific experience with NLP tasks such as event and topic detection, relation extraction, summarization, entity recognition, document classification and knowledge base generation.
Experience in distributed computing, preferably including working with AWS/Azure, the Elastic stack, and Docker.
Passionate about driving the performance of machine learning algorithms towards the state of the art, and in challenging us to continually improve what is possible

Lawrence Harvey is acting as an employment agency in regards to this position.
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