About this role:

The Senior 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: 

• Build machine learning/ranking models that leverage our unique data sources to recommend optimal product, offer, content and information
• Help identify new opportunities by applying machine learning and ranking techniques for improved business outcomes
• Apply advanced knowledge of data extraction/processing and build complex modeling features.
• Own end-to-end flow from exploring your data, designing, training, testing, deploying, to monitoring your own models
• 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 science, data science, math, statistics, or physics
• Two years applied machine learning experience in a professional setting, familiar with at least one mainstream deep learning framework, such as TensorFlow or PyTorch.
• Proficiency in Python and/or other object oriented programming language and experience with ML frameworks
• 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, backend engineers and data scientists.
• Experience with one or more of the following: recommendation/ranking system, online advertising, information retrieval, natural language processing, large language model or related fields.
• Experience with A/B testing 
• Experience in writing SQL queries against a relational database
• 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
• Bonus Plan
• Vacation, sick and holiday time off
• Monthly mobile stipend
• Monthly Weee! Points credits

Compensation Range

• The US base salary range for this full-time position is $130,000-$160,000
• This role may be eligible to discretionary bonus, incentives and benefits 
• Our salary ranges are determined by role, level, and location

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