Machine Learning Engineer

May 25, 2023
$80000 - $100000 / year

Job Description

The Role As one of our first dedicated machine learning engineers, you’ll take ownership over our machine learning efforts. We need you to not only build out and deploy models, but also establish best practices, mentor team members, and bring expertise to how we think about machine learning.

Develop machine learning models to improve PicnicHealth’s product and processing efficiency Apply expert software development skills to build intelligent user experiences leveraging machine learning Own the machine learning pipeline — systems for training, versioning, deploying, and testing models Work with product, operations, and sales teams to help define use cases, and develop methodology and benchmarks to evaluate different machine learning approaches You are a strong candidate if you have:
BA/BS degree in Computer Science, related technical field or equivalent practical experience Experience with linear algebra, calculus and statistics Shipped code for 3
years Leveraged machine learning in production environments An ideal candidate has:
An MS or PhD degree in Computer Science, Artificial Intelligence, Machine Learning, or related technical field Exposure to industry or academic research Experience with Python, and Python machine learning tooling, including TensorFlow Exposure to Deep Learning, Gradient Boosting Machines, and other supervised classification methods Large data analysis and visualization experience Experience building web applications Desire to kick ass and save lives Why join PicnicHealth? At PicnicHealth you get to solve real problems with real solutions, great tech, and great people. You also get:
Competitive salary Comprehensive benefits including above market Health, Dental, Vision Family friendly Flexible time off 401k plan Free PicnicHealth account Equipment and internet funds for home office set up

Salary Range:
$80K — $100K
Minimum Qualification
Data Science & Machine LearningEstimated Salary: $20 to $28 per hour based on qualifications.