Position title
Machine Learning Engineer Intern (part-time)
Description

Alexsei is a legal AI startup that provides answers to complex legal questions. We are a team of software engineers and lawyers working hard to achieve our long-term mission of making the law more accessible; that is, easier to understand more quickly and affordably.

We are looking for a student in machine learning to help us extract value from our data. You will handle everything from data collection, cleaning, and preprocessing, to training models and deploying them to production under the supervision of our CTO.

Responsibilities
  • Working with a huge corpus of text data
  • Unsupervised learning – lots of it!
  • You must have an understanding of why a Machine Learning algorithm does what it does –brush up on the basic math behind the magic.
  • Must have experience with Python libraries such as Numpy, Pandas, NLTK, CoreNLP, Gensim, spaCy, etc.
  • You have experience using at least one of the open source tools like Tensorflow, PyTorch, Sci-Kit Learn, Keras, etc.
  • Nice to have: Experience with REST APIs (using and building)

Bonus Points:

  • You’ve worked on a cool NLP project, built a prototype or web application. We’d love to see a demo.
  • You’ve gotten your hands dirty with one or more Apache open source tools like Airflow, Solr, Spark, Lucene, Tika, etc.
  • Experience with AWS, Information Retrieval, Neural Networks, ElasticSearch, Relational Databases.
  • You’re updated on the latest in NLP, think thought vectors.
Job Benefits

Work for a cool AI startup! We are building something legit and impactful, not just another app.

  • Flexible work hours and location. We’re cool with remote work!
  • Contribute to building components of a large-scale pipeline for next-gen AI powered search.
  • Learn practical use and integration of machine learning in a real world application.
  • Get in on the ground floor with a growing software development team.
  • You gain points for a possible opportunity to transition to a full-time role.
Qualifications
  • Third or final year of undergraduate program in Computer Science/Engineering or a similar field heavy on math, experimentation and programming. Masters and PhD candidates are also welcome to apply.
  •  Strong knowledge of Python and awareness of best practices and patterns for Python as it relates to readability, maintainability, and performance.
  • You are able to work a minimum of 15 hours per week.
Employment Type
part time
Job Location
10 Dundas Street East, Suite 1002, M5B 2G9, Toronto, Ontario, Canada
Remote work possible
Valid through
December 15, 2019
Working Hours
minimum 15h a week
Base Salary
$ 17/hour
Date posted
October 17, 2019
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Position: Machine Learning Engineer Intern (part-time)

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