Jobs

To post a job ad or for sponsorship, contact Vincent Granville at vincentg@MLTechniques.com. Job ads must offer the possibility of remote work, and include the contact information of the hiring manager: LinkedIn profile (preferred), or email address. Job ads from recruiters, HR people, or requiring the applicant to fill a web form prior to contacting the hiring manager, are not accepted. The position must be related to machine learning, data science, or related fields. Job ads not requiring a resume, but focusing instead on the applicant’s portfolio (GitHub and so on) are especially welcome.

Several hiring managers who checked which applicants were rejected by their HR system, found out that all the best candidates — the ones they wanted to interview — were in that category. Many highly qualified applicants are reporting the same issue. In addition, talent sourcing that does not involve a third party helps save money (commission fees) to the hiring company. Positions listed here avoid these problems, helping both applicants and hiring managers.


From our Partners


Fireside chat on Applied Machine Learning with Dr. Kirk Borne. — Kirk has over 40 years of experience in the fields of Machine Learning, Data Science and Big Data. He worked at NASA, Booz Allen Hamilton, and at several startups. He was also a professor at George Mason University where he created the first Data Science program. He is a TEDx speaker and has spoken at hundreds of events worldwide, for which he has been the conference keynote speaker at dozens of those. View presentation here.

“Intuitive Machine Learning and Explainable AI”, by Vincent Granville, Ph.D. — Published in 2022. Use the code Nov22ML to get a 20% discount on any of Vincent’s books, valid until 11/30/2022. Original material with Python code. Leverage the off-the-beaten-path technical material learned in the book to outperform other applicants in data science job interviews, or be more efficient in your job. Get your copy here or learn more about the book, here. This textbook is used as teaching material in Vincent’s upcoming course, here.


LinkedIn posts by hiring managers

  • Educational Testing Services, director AI engineering. Posted here on December 9, 2022, by Narmeen Makhani, Head of Technology – AI labs.
  • Epsilon, machine learning engineer. Posted here on December 8, 2022, by Ming Wand, Director of Data Science.
  • IDEXX, data engineers and data scientists (computer vision). Posted on December 7, 2022, by Cliona Molony, Chief Data Officer.
  • Lightcast, remote, ML engineer/MLOps. Posted here on December 2, 2022, by Jeff Hoffman, Data Science Manager.
  • Meta, research scientists interns. Posted here on December 1, 2022, by Shugao Ma, Research Science Manager.
  • COLSA, Alabama, senior data scientist (defense and space — DOD clearance required). Posted here on December 1, 2022, by Jason Sebastian, Director, Data Science and AI.
  • Qualtrics, Seattle, junior ML engineer. Posted here on November 30, by Aaron Colak, Machine Learning Leader.
  • Neo Financial, data analytics technical lead (banking), Calgary. Posted here on November 28, by Fahad Zaidi, Data and Analytics Leader.
  • USPS, data analytics director. Posted here on November 23, 2022, by Anastasiya Osborne, Senior Data Scientist.
  • Apple, junior positions. Posted here on November 19, 2022, by Igor Avramovic, Engineering manager.
  • Home Depot, analytics and data science roles. Posted here on November 17, 2022, by Kishen Jayanti, Marketing Analytics Leader.
  • JP Morgan Chase, New York, AI applied associate (3 jobs). Posted here on November 17, 2022, by Yungkwon Kim, AI/Machine Learning Lead
  • Etsy, New York, graduate intern. Posted here on November 16, 2022 by Julie Beckley, Data Science and Engineering Manager.
  • MGM Resorts, senior data scientists. Posted here on November 14, 2022 by Sohel Khan, VP of Data Science.
  • GitHub, several openings for machine learning researchers. Posted here on November 11, 2022 by Oege De MoorView, VP of GitHub Next.
  • Yahoo, ML engineers and PhD scientists. Posted here on November 11, 2022 by Chris L, Research Director.
  • Petco, data scientist, remote. Posted here on November 11, 2022 by Mona Birjandi, Principal Economist and Data Scientist.
  • American Express, data scientist. Posted here on November 11, 2022 by Xinyi Daisy,Data Scientist.
  • Descript, research and engineering roles, San Francisco. Posted here on November 10, 2022 by Sushobhan GhoshView, AI Research Scientist.
  • Shield.ai, Los Angeles, senior data scientist and machine learning roles. Posted here on November 10, 2022 by Miguel Campo-Rembado, Head of Scene Understanding.
  • Bio-Rad Laboratories, California, looking for scientists/engineers. Posted here on November 10, 2022 by Shekib Jami, Neuroscientist, Electrophysiologist & Engineer.
  • WholeFoods, hiring principal data scientists. Posted here on November 10, 2022 by Yingying XuView, Economist and Principal Data Scientist.
  • Bloom Value Corporation (startup) looking for data scientists and engineers. Posted here on November 10, 2022 by Arun Hampapur, Founder and CEO.
  • RBC Wealth Management, data scientist, Toronto. Posted here on November 10, 2022 by Lawrence Jordan, Senior Director of AI / Applied Analytics.
  • Apple, multiple positions. Posted here on November 9, 2022 by Rajiv Krishnamurthy, Head of Data Science and ML engineering.
  • Google, multiple positions. Posted here on November 9, 2022 by Khalifeh Al Jadda, Director of Data Science.
  • TikTok, Bay Area, software engineers/algorithms. Posted here on November 9, 2022 by Xing Mei, Engineering Lead.
  • McKesson, Texas, several data scientist positions. Posted here on November 9, 2022 by Shivanku Misra, Vice President & Head of Advanced Analytics.
  • Data @ Notion, San Francisco, multiple positions. Posted here on November 9, 2022 by Daniel Sternberg, Head of Data.
  • Trellix, Oregon, data scientist. Posted here on November 9, 2022 by Praveen Soraganvi, Senior Director of Engineering.
  • Atlassian, several positions worldwide. Posted here on November 9, 2022 by Joe DeGregorioView, Senior Data Scientist.
  • T-Mobile, senior data scientist. Posted here on November 9, 2022 by John Aschenbrenner, Transformation & Innovation.
  • Millennium Management, various quant/data/engineering roles worldwide. Posted here on November 9, 2022 by Khalifeh Al Jadda, Network/Infrastructure Engineer
  • Treasure Data, Durham, NC. Posted here on November 9, 2022 by Ashrit Kulkarni, Data Science Engineer.
  • VF Corporation, two data scientists, San Francisco. Posted here on November 9, 2022 by Wendy Sun, Director of Data Science.
  • Rock Central, Detroit, posted here on November 9, 2022 by Archana Acharya, Senior Director, Data Science.
  • GridMatrix, Portland, OR. Posted here on November 9, 2022, by David Von Dollen, VP of Data Science.
  • Katonic.ai, Australia, fully remote. Posted here on November 9, 2022, by Prem Naraindas, Founder and CEO.
  • Comcast hiring multiple data scientists, fully remote. Posted here on November 8, 2022 by Sandeep Balasundaram, Director of Data Science.
  • AirBnB, San Francisco. Software engineer. Posted here on November 8, 2022 by Haichun Chen, Engineering Leader, Machine Learning.
  • Private Market Labs looking for founding data scientist. Posted here on November 8, 2022 by Titus Capilnean, Co-founder, Chief Product Officer.
  • JPMorgan Chase, hiring 2,000 engineers. Posted here on November 8, 2022 by Kyler M., VP Cloud Network Security.

MLTechniques.com, 100% remote. Posted October 6, 2022. This position has been filled.

Exciting project: develop and deploy a machine Learning web app in Python. Hiring manager: Vincent Granville, Ph.D. Founder, Executive Machine Learning Scientist.

Use your software engineering talent and expertise to develop a web app based on Python, end-to-end: creating the application on a server, and designing an HTML page with a web form calling the app. The first app will be very simple: the idea is to design a proof of concept, with substantial flexibility in the tools that you can use. You will be requested to offer advice about which platforms or web services to use (Azure, AWS EC2, Google Cloud and so on) based on the scope of this project. Python knowledge is required, but most importantly this is software engineering more so than machine learning. The app may use graphical Python libraries such as Matplotlib, Pillow, OpenCV, Moviepy, or Plotly.

Ideally, the app should go live on the MLTechniques.com website, so familiarity with WordPress is a plus. Tools such as JavaScript, Flask, Django, web scraping, or Streamlit may be used. The web form should accept parameters from the user, input data sets (possibly provided by the user as an URL to where the data is located), and return output data (including charts and possibly animated data visualizations) and/or or link to where the output data is stored. The data sets in question may not be small. Should this project perform beyond expectations and lead to monetization of the app, or other forms of monetization, this could lead to a full time position, or even revenue sharing from the app.

Currently, it is advertised as part-time: ideal for software engineers interested in making extra money while working a full-time job, or for students with a computer science background or expertise, interested in gaining a first work experience. You may interact with the hiring manager in English or French.

To apply, email the hiring manager at vincentg@MLTechniques.com, with subject line “Application: Web API in Python”. Explain how you are qualified for this project. If possible, share a link to one or two of your live web apps. The selected candidate will be prominently featured and acknowledged in our upcoming Python book and on the web app, after successful completion of the project. This is a paid opportunity, and a great way to build your portfolio. The company is located in the Seattle area, and very well self-funded.

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