Simplify Logo

Full-Time

Machine Learning Engineer

Confirmed live in the last 24 hours

SupportLogic

SupportLogic

51-200 employees

AI-driven customer support experience platform

Data & Analytics
Enterprise Software
AI & Machine Learning

Compensation Overview

$120k - $170kAnnually

+ Healthcare Coverage + 401K + Equity + Unlimited PTO

Mid

Remote in USA

Category
Applied Machine Learning
Natural Language Processing (NLP)
AI & Machine Learning
Required Skills
Python
Data Science
SQL
Natural Language Processing (NLP)
Data Analysis
Requirements
  • B.S. degree in Computer Science, Mathematics, or similar field
  • 2+ years of experience as a Machine Learning Engineer
  • 1+ years of experience deploying NLP solutions to production environments
  • Proficiency in Python and common data science libraries
  • Experience with model training, evaluation, and deployment
  • Experience with SQL
Responsibilities
  • Increase velocity of ML model deployment into production through automation
  • Enrich and automate model validation prior to and after deployment
  • Measure and monitor model predictions in production
  • Automate data collection, model retraining, and measurement
  • Provide tools for data analysis and boost ML team productivity
  • Integrate new ML models or APIs into production

SupportLogic provides a user-centric Support Experience Management Platform, driven by predictive and generative AI technologies. This platform focuses on enhancing customer support by utilizing sentiment analysis and attention metrics, offering real-time solutions for case prioritization and escalation reduction. Working here, you'll be part of a team dedicated to transforming support operations through cutting-edge AI, aimed at improving service experiences and operational efficiency. The company's commitment to ongoing technological advancement and a deep understanding of customer needs makes it a standout place to develop professionally in the field of AI-driven customer experience management.

Company Stage

Series B

Total Funding

$73.9M

Headquarters

San Jose, California

Founded

2016

Growth & Insights
Headcount

6 month growth

-7%

1 year growth

-17%

2 year growth

-29%