EasyPost
San Francisco
51-200 employees
EasyPost's best-in-class Shipping APIs provide end-to-end flexibility and more control over parcel shipping and logistics processes for anyone shipping online.
Prior Listings
Senior ML Engineer
Senior ML Engineer
This job is no longer open
Founded in 2012, EasyPost is a YC unicorn whose mission is to make shipping simple for businesses, from garage startups to the Fortune 500. Shipping, now more than ever, is the backbone of the global economy, but integrating the technology-enabled operations of a modern business with the low-tech and complex shipping industry has always been a challenge. EasyPost solves this problem with the first developer-friendly REST API for shipping, and we continue to push boundaries and discover new ways to simplify shipping for all. Our team is rapidly growing, and this is the perfect time to get on board. Join us, and help build the shipping infrastructure of the future.
About the role:
Logistics is hard, and often unpredictable as Covid19 revealed. Now more than ever, the ability to predict and manage shipping is the foundation for organizations’ successes. EasyPost is trying to solve this issue by bringing reliability and transparency to the logistics world, and it is well positioned to do so based on its proprietary data. Come join us to help customers solve their shipping challenges one package at a time!
What you will do:
o Leads efforts within the organization to drive the design, development, optimization, and product ionization of ML or ML-based solutions and systems that are used to solve strategically important problems.
o Responsible for defining and driving the improvement of key ML infrastructure for model development, training, deployment needs and scaling ML systems.
About you:
o PhD or equivalent in Computer Science, Engineering, Mathematics or related field AND 4-years full-time
o Software Engineering work experience OR 7-years full-time Software Engineering work experience, WHICH INCLUDES 4-years total technical software engineering experience in one or more of the following areas:
o Programming language (e.g. Java, Python, or Go)
o Large-scale training using data structures and algorithms
o Modern machine learning algorithms (e.g., tree-based techniques, supervised, deep, or probabilistic learning)
o Machine Learning Software such as Tensorflow/Pytorch, Caffe, Scikit-Learn, or Spark MLLib
o Hands on experience building end to end ML product
o Offline supervised and unsupervised learning, online learning experience optional
o Experience with defining metrics for model selectionÂ
o Experience with Feature engineering and feature managementDeep Learning (optional)
o Privacy aware/bias free/Interpretable MLPersonalizationOptimization (RL/Bayes/Bandits)
What We Offer:
o Comprehensive medical, dental, vision, and life insurance
o Competitive compensation package and equity
o 401(k) match
o Monthly work from home stipend of $100 net
o Flexible work schedule and paid time off
o Collaborative culture with a supportive team
o A great place to work with unlimited growth opportunities
o The opportunity to make massive contributions at a hyper-growth company
o Make an impact on a product helping ship millions of packages per day
Data Privacy Notice for Job Applicants:
For information on personal data processing, please see our Privacy Policy: https://www.easypost.com/privacy
"EasyPost is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law."
To be considered for this position, you must be authorized and based in the United States.
This job is no longer open