Lead Machine Learning Engineer

Lead Machine Learning Engineer

This job has closed but is shown for context on data science work at Bark.


You’re hands-on, strategic, proactive, and truthful. Your passion for learning drives you. You have a knack for picking up new technologies, and you like reading and discussing machine learning research papers. You can code switch between business, product, and tech, and naturally build partnerships. When a project has momentum, you feel it in your toes.


You will work with leadership across the organization to understand and develop methodologies for optimizing key performance metrics such as retention, conversion, NPS, product score, and many more. We’ll be depending on you to write modular, flexible, extensible, reusable, readable, and operational ML code compatible with existing BARK systems, share best practices / industry standards in data science within the Data & Analytics team, and help BARK drive improvements in performance by effectively applying statistics, math, and machine learning to BARK’s unique business, product, and technology challenges. Day to day responsibilities will include:

  • Improving BARK’s ML personalization capabilities
  • Applying best practices to improve performance of code and machine learning models 
  • Engineering better features that accurately describe and predict profitability outcomes 
  • Applying statistics and machine learning to make business recommendations aimed at improving key metrics
  • Clearly communicating results to stakeholders
  • Designing experiments and applying appropriate statistical inference methods to interpret historical data and drive decision-making
  • Interpreting data, identifying issues & complexities, translating nuances to useful code, and reporting key findings to inform the direction of projects


  • 3+ years of experience applying machine learning in a full-time role
  • 3+ years’ experience writing SQL; Redshift or Postgres preferred
  • 4+ years of experience writing code, 3+ years in Python
  • Advanced degree (Master of Science or Engineering, or Ph.D.) in Machine Learning, Computer Science, Statistics, Math, or Engineering *OR* 6+ years experience as a full-time Data Scientist / ML Engineer 
  • Experience building recommender systems and applying inferential statistics
  • Experience actively contributing to a production codebase


  • Excellent grasp of Python, SQL, and Git
  • Excellent knowledge of Machine Learning concepts, applications, and libraries, particularly recommender systems, NLP, and multi-arm bandits
  • Strong written and verbal communication skills 
  • Proven ability to deliver high-value data science projects
  • Strong data manipulation skills with multiple data sources and high dimensionality

This position is a full-time, salaried position. BARK currently has offices in NYC, Seattle and Columbus, Ohio, but for the right candidates working remotely is also an option. We offer health insurance for both you and your pup, 401k, wonderful team lunches, cold brew on tap, and a dog to pet anytime you wish. 


Here at BARK, we love dogs and their people. We’re looking to make all dogs happy throughout the entire world (we’re not kidding). Think Disney for dogs -- we make magic for dogs and their people through our products, events, and experiences.

Our ambition level is high, the opportunity is huge, and our love for dogs is through the roof! We launched in 2011 with BarkBox, a monthly-themed subscription of all-natural treats and clever toys. Since then, we've shipped more than 70 million toys and treats to the dogs across the world and use all of that direct customer feedback to inform new initiatives and ways to make magic between dogs and their people. We’ve since expanded into other offerings as well, as we aim to become THE Dog Company for every family with a four-legged, belly-scratch-loving, interspecies family member.

This job has closed but is shown for context on data science work at Bark.
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