Machine Learning Engineer

  • BHO Tech
  • San Francisco, CA, USA
  • Jul 08, 2024
Full time Engineering

Job Description

We create industrial analytics software that empowers organizations to achieve new levels of operational performance. The Platform makes industrial time-series data easy to use and helps engineers, data scientists, and technologists rapidly turn data into actionable reliability, productivity, and sustainability insights. 

Youre a self-starter who thrives on solving hard problems. More importantly, you want to build technology that matters. As part of our team, youll turn code into real-world impact, where purpose-built technology can prevent dangerous mechanical failures, for example. Youll be responsible for driving the machine learning aspects of the platform. This differs from other machine learning problems in that your outputs will become part of the product and will be production-grade, repeatable systems-based solutions rather than bespoke for a specific problem. 

Visa sponsorship is available for qualified candidates.

What You'll Do:

  • Develop a production-grade learning system powering on-demand analytics for our web application, including:
    • Classifiers that detect patterns/anomalies in time-series data so end users can assign them labels
    • Grammar inference systems to learn structure in semi-structured data
    • Building feedback-based learning systems that can assist humans in extracting signal from large data sets
  • Work with data scientists, product managers, and application developers to support the architecture of new product features
  • Build APIs to expose your systems to internal (and external) users
  • Create data pipelines that transform raw time-series data into clean, analytics-ready data
  • Work within a small team to build systems from the ground up
  • Drive the architecture of our system to push the boundaries of sophisticated analytics for industrial users

What You'll Need:

  • 2+ years of designing and building data intensive applications that are cleanly coded, well designed and operationally stable
  • Strong mathematical sophistication to understand and optimize machine learning processes in production
  • Experience with time-series data a big plus
  • PhD in Computer Science, Statistics, Physics, Engineering, or related field (or equivalent experience)

Best Regards,
Kris Young
Account Manager
BHO Tech
San Jose, San Francisco CA
Phone: 866 816-1615 x 823