Senior ML Infra Engineer

Remote /
Engineering – Data /
Full time
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.

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!

About the role:

Leads efforts within the organization to drive the design, development, optimization, and productionization of ML or ML-based solutions and systems that are used to solve strategically important problems. This role is also responsible for defining and driving the improvement of key ML infrastructure for model development, training, deployment needs and scaling ML systems.

What you will do: 

o Architecting fault tolerant and self-healing distributed systems
o Work with data scientist to create highly scalable API services that's based on ML and statistic models
o Re-building our data warehouse to support growth, design next gen schema for analytics
o Find new ways to improve in-house batch processing framework and workflow orchestration
o Establish standard methodologies for creating systems and datasets for the entire company's use
o Work closely with other teams from across the organization
o Build and maintain the automation that manages data storage technologies
o Mentor fellow teammates on algorithms, data structures, design patterns, and best practicesFind new ways to improve data team initiatives and workflow orchestration

About you: 

o MS or equivalent in Computer Science, Engineering, Mathematics or related field AND 4-years full-time 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 Deep understanding of ML life cycle and stages
o Hands on experience with integrate ML pipeline into production environment
o Exposure to machine learning algorithms (e.g., tree-based techniques, supervised, deep, or probabilistic learning)
o ML model training, testing and monitoring Infra

Nice to have:

o Experience with Machine Framework such as Tensorflow/Pytorch, Caffe, Scikit-Learn, or Spark
o Experience with defining metrics for model selection
o Experience with Feature engineering and feature management
o Privacy aware/bias free/Interpretable ML
o Personalization
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

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"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.