Job Description

 Machine Learning Engineer /New York /Hybrid 

$220,000 - $275,000 + Benefits 

About the job

The Machine Learning Engineer will be an essential member of the Machine Learning R&D Team, where we engineer large tailor-made systems to solve complex data-related problems from many domains. My clients projects often require solutions that utilize the latest and the best from Deep Learning/Machine Learning research. They support advanced projects in both data-constrained and data-rich settings. Qualified candidates should be driven and be able to help craft these systems as a part of our R&D team.

Responsibilities:

Candidates are expected to be familiar with the motions of a classical Machine Learning workflow, and support the team with some of the following tasks:

• Dataset Creation.
• Data Exploration/Visualization.
• Literature Review.
• Data Wrangling.
• Implementation and Training of Appropriate Models from Literature.
• Characterization of Error in Models.
• Iterative Optimization of Models.

On the engineering side of development, the Machine Learning Engineer will have the ability to be hands-on by:

• Creating training and preprocessing pipelines for faster experimentation.
• Creating algorithmic modules to interface your Models output with business requirements.
• Integrating their code to a larger codebase.
• Putting your model into production using AWS or GCP.

Required Qualifications:

• BS. in Computer Science, or related field.
• 3+ years of professional Software Development experience in Python.
• Mastery of Deep Learning fundamentals and statistics underlying Machine Learning.
• History of software projects putting Machine Learning systems into production in any capacity.
• History of software projects in general.
• Deep personal interest with the complete state of the art in a subfield of Machine Learning Research.
• Ability to work independently, and within a team.
• Ability to communicate effectively with non-technical stakeholders and supervisors.