Weee!

Machine Learning Engineer

Fremont, CA US
USD 115k - 200k
Python SQL Spark TensorFlow PyTorch Machine Learning Deep Learning
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Description

About Weee!

Weee! is the largest and fastest-growing ethnic e-grocer in the United States, operating in one of the largest underserved categories in retail with affordable access to exciting ethnic food. By partnering with local suppliers, redesigning the value chain and leveraging social buying, Weee! is reshaping the grocery business entirely. You can read more about us on Business Insider, Reuters and TechCrunch.

Weee! is headquartered in Fremont, CA, and is currently available coast to coast with exceptional growth (5x YoY) across geographies, categories and ethnicities. We have raised $800M+ in funding to date from leading investors including Softbank Vision Funds, DST, Blackstone, Tiger Global, Lightspeed Ventures, Goodwater Capital, XVC and iFly. The opportunity now is to join a rocketship as we prepare for the next stage of growth, and an eventual public listing.

About this role:

This role is open to all levels (Junior to Staff/ Principal level). The Machine Learning Engineer will be working on different aspects of recommendation and user growth new initiatives, and the product will greatly impact Weee! customer base by providing next-gen food shopping and sharing experience. 

Responsibilities: 

  • Apply advanced knowledge of data extraction/processing and build complex modeling features
  • Build machine learning models that leverage our unique data sources to recommend optimal product, offer, content, and information
  • Build end-to-end infrastructure from exploring your data, designing, training, testing, deploying, to monitoring your own models
  • Help identify new opportunities by applying machine learning and statistical models for improved business outcomes
  • Be a self-starter, eager to learn, and motivated by a passion for developing the best possible solutions to problems

Basic Qualifications

  • MS or equivalent experience in a quantitative field such as computer or data science, math, statistics, or physics
  • Experience in developing and deploying machine learning or deep learning models in a professional setting
  • Proficiency in Python and/or other object oriented programming language and experience with ML frameworks
  • Basic SQL skills
  • Ability to work in a fast-paced start-up environment and deliver excellent results
  • Strong communication skills, and ability to work with multiple stakeholders

Preferred Qualifications

  • Experience working with product teams and backend engineers
  • Experience with one or more of the following: recommendation systems, ranking systems, targeting systems, natural language processing
  • Experience with one or more of Spark, Flink, XGBoost, TensorFlow, PyTorch
  • Ability to solve open and ambiguous problems

Benefits

  • Comprehensive health insurance package, including medical, dental, and vision.  PPO/HMO packages
  • 401k, 4% company match
  • Equity
  • Annual bonus plan, bi-annual pay out
  • Vacation and holiday time off
  • Monthly mobile stipend
  • Monthly Weee! Points credits

This role is open to all levels (Junior to Staff/ Principal level).

Compensation Range

  • The US base salary range for this full-time position is $115,000-$200,000
  • Our salary ranges are determined by role, level, and location
  • This role may be eligible to discretionary bonus, equity, incentives and benefits 

The range displayed on each job posting reflects the minimum and maximum base salary for new hires for the position across all US locations. Within the range, individual pay is determined by multiple factors like job-related skills, experience and work locations. Your recruiter can share more about the specific salary range during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include any variable compensation elements.

For more jobs and to find out more about Weee!, visit our career page: https://about.sayweee.com/careers

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