Senior Machine Learning Engineer

| San Francisco
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Primer is pushing the edge of artificial intelligence. We are building machines that can read natural language text documents, understand them, and share what they learn by writing their own natural language text documents. Join us!

As Senior Machine Learning Engineer, you will be responsible for formulating, designing and implementing machine learning systems. This role requires your programming skills, your deep knowledge of applied mathematics, and your experience with state of the art machine learning techniques. Just as important, this role requires your passion for applying cutting edge techniques to solve real-world problems.

About Primer

At Primer we use machine learning and natural language processing to automate the analysis of very large corpuses of unstructured text. We build systems that read documents, extract insights, and write reports comparable to those of a human analyst. Our objective is to help our customers understand the world around them ‐‐ from geopolitical events and scientific research to changes in the risk profiles of companies. Our clients include some of the world’s largest corporations, financial institutions, and government agencies.

You can learn more about Primer's technology and the sort of problems we solve at our blog, as well as recent media coverage of our work. Primer was chosen by the World Economic Forum among a select group of Technology Pioneers.

Responsibilities

  • Translate product requirements into well-scoped machine learning problems
  • Analyze and improve our existing algorithms
  • Work with software engineers to deploy your algorithms at scale

Must have

  • MSc. or PhD. in computer science, statistics, computational linguistics, or related fields
  • 3-7+ years of professional experience in the areas of developing and deploying quantitative models, machine learning, and NLP based-solutions
  • Fluency in Python
  • A deep understanding of the mathematics underlying machine learning
  • Experience with NLP problems such as part-of-speech tagging, topic modeling, named entity recognition, and summarization
  • Experience with a wide variety of supervised and unsupervised machine learning techniques
  • Experience with ML and NLP tools such as SpaCy, Scikit-learn, Tensorflow, Keras, and PyTorch
  • Curiosity, enthusiasm, and a love for teaching and learning

Bonus Points

  • Experience with Cython
  • Experience with open source distributed computing technologies such as Spark
  • Proficiency in non-English languages and experience with multilingual NLP problemsExperience with time series analysis
  • Familiarity with information retrieval systems

What We Offer

  • Collaborative environment with abundant cross-team interactions and learning
  • Opportunity to tackle deep problems in Natural Language Processing, Natural Language Generation, and other Machine Learning applications
  • The satisfaction of seeing your brilliant ML solutions develop from concepts right through to deployment as new product features
  • Unfettered access to diverse massive datasets - such as over 1M new documents per day, from news articles and scientific papers to financial documents and analyst reports
  • Hands-on development of products that help some of the world’s most influential organizations solve their highest impact problems.

Primer is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Please see the United States Department of Labor's EEO poster and EEO poster supplement for additional information.

If you need assistance or an accommodation due to a disability, you may contact us at [email protected].

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Location

We're located in the heart of the financial district of San Francisco

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