• Location: USA, Massachusetts, Boston
  • Salary: Up to US$200000 per annum + Equity + Bonus
  • Technology: AWS Big Data Jobs
  • Job Type: Permanent
  • Date Posted: 9th Jul, 2019
  • Reference: JF/070919CC_1562682759
Principal ML Engineer/Director of ML - Boston, MA - $200K+

My client is an AWS Advanced Technology Partner located in downtown Boston. They're currently looking to hire a Principal Machine Learning Engineer / Director of Machine Learning (based on experience) to act as a startup founder for a new product within their organization. You will define a product vision and hire a team to execute on that vision. This is a highly visible role as you'll be working directly with their CEO to define this new product. You will remain personally involved at a deeply technical level as your team grows and your vision expands.

If you are interested in learning more about this position, please read the requirements below and apply!

Principal ML Engineer/Director of ML - Boston, MA - $200K+


* Expert with writing production-level code in Python
* Hands on experience with the PyData stack - NumPy, Pandas, Scikit-learn
* Extensive experience with Machine Learning algorithms
* Experience managing/leading a team
* Strong vision and creativity


* Joining a fun, hard-working and collaborative team
* 401K & company match
* Competitive base salary, bonus + equity
* Free snacks & lunches
* Beer on tap!
* Company outings
* Fully paid benefits
* Speak at the biggest data science industry conferences

If you are interested in this position, please call me (Casey Carton) at 212-731-8282 or simply send me your resume to my email address - c.carton@jeffersonfrank.com. Act fast, as this opportunity will most likely be off the market in the near future.

I understand the need for discretion and would welcome the opportunity to speak to any AWS Big Data candidates that are considering a new career or job either now or in the future. Confidentiality is of the utmost importance. For more information, I can be contacted at 212-731-8282. Please see www.jeffersonfrank.com for more information.

AWS / Big Data / IoT / Hadoop / Hive / Pig / Spark / R / Scala / Pyspark / Azure / GCP / HD Insight / SQL Data Warehouse / Data Lake / Stream Analytics / Machine Learning / Spark / Redshift / EMR / EC2 / S3 / Presto / Kinesis / Analytics / Boston / United States

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