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ML Jobs Newsletter - Issue #12

January means two things: conferences and internships! The Comet team will be exhibiting + speaking
ML Jobs Newsletter - Issue #12
By Comet.ml • Issue #12 • View online
January means two things: conferences and internships!
The Comet team will be exhibiting + speaking at the Global Artificial Intelligence Conference next week in Santa Clara, CA.
  1. Running Effective Machine Learning Teams: Common Issues, Challenges and Solutions (with Gideon Mendels, CEO)
  2. Deep Learning For Developmental Robotics (Douglas Blank, Associate CS Professor, Bryn Mawr College and Senior Software Engineer)
If you’re in the South Bay area or attending the conference, we’d love to meet! Shoot us an email at info@comet.ml

It’s recruiting season for summer internships - check out great internship opportunities below in the Jobs section.

Curated with love by Comet.ml
Project Visualizations in Comet.ml - compare model iterations
Project Visualizations in Comet.ml - compare model iterations
Comet is doing for ML what GitHub did for code. We allow data science teams to automagically track their datasets, code changes, experimentation history and production models creating efficiency, transparency, and reproducibility.
Want your job listing to be featured?
This bimonthly newsletter gives you access to the latest machine learning roles across the world.
If your company is hiring for awesome data scientists, machine learning engineers, or research scientists and would like to be included here, send an email to me at cecelia@comet.ml
Featured ML Job:
Better is a direct lender that provides a digital mortgage experience
Better is a direct lender that provides a digital mortgage experience
Data Scientist — Better (New York, NY)
What’s hot about this job?
Let this job description serve as an example for other job descriptions! It’s always useful to have super granular expectations for the role, a brief description of the team, and an emphasis on company values.
Better’s engineering team of 30 is at a sweet spot for you to join. It’s small enough for an intimate working environment (where you can still meet everyone!) but large enough for you to have more senior mentors to advise you.
If you read through the job expectations, you’ll see that this is a very product-focused data science position. The projects you’ll be working on as a data scientist run the gamut from customer acquisition, pricing analysis, and customer support.
ML Jobs:
Machine Learning Leadership Roles:
Mid-Career ML Roles:
Early-Career ML Roles:

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