Remote Machine Learning Engineer

Published date Posted on Indeed on Aug 06, 2022 (13 d ago)

Piper Companies is seeking a Remote Machine Learning Engineer to join a Technology Solutions company located in Boston, MA. The Remote Machine Learning Engineer will develop production-level machine learning libraries and algorithms for gesture classifications for our current device and future products.

Responsibilities of the Remote Machine Learning Engineer include:

  • Help architect, design, and build machine learning software tools used by the Algorithm team
  • Review the code developed by other members on the team - providing feedback and insight to peers
  • Contribute to the Algorithm team’s model research effort

Qualifications of the Remote Machine Learning Engineer include:

  • Deep understand and experience in Machine Learning and Artificial Intelligence
  • Fluent in Python and proficient knowledge with Asyncio, Numpy, Pandas, Tornado or other Python web frameworks
  • Knowledgeable and experienced with Cython, numeric code optimization, complexity analysis, and multi-processing in Python
  • Experience with Git, Google Compute Cloud, and Docker.


Compensation of the Remote Machine Learning Engineer
include:

  • Salary Range: $140,000-$150,000 *depending on experience*
  • Full Benefits: Medical, Vision, Dental, Unlimited PTO, Potential for Equity Package, Quiet Fridays (no meetings)


Keywords: Remote, remote work, wfh, work from home, machine learning, ml, artificial intelligence, ai, ai/ml, ml/ai, machine learning engineering, machine learning engineer, artificial intelligence engineering, artificial intelligence engineer, git, google compute cloud, docker, cython, python, python frameworks, numeric code optimization, multi-processing, asyncio, numpy, pandas, tornado, ui/gi, algo, research, research engineer, machine learning research, artificial intelligence research, code, coding, software, architect, design, build, pytorch, tensorflow, ann, keras, deep learning, deep learning engineering, deep learning engineer, gui, gcp, android, c++, develop, on-site, hybrid


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