About Weee!
Weee! is the largest and fastestgrowing ethnic egrocer 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.
This role is onsite 5 days a week in Fremont CA
Responsibilities
- Lead and mentor a team of Machine Learning (ML) engineers and researchers fostering a highperformance culture and driving innovation.
- Oversee the design development and deployment of scalable ML models and systems optimizing performance across ecommerce platforms.
- Define and drive the endtoend ML lifecycle including data collection model training validation deployment monitoring and improvement.
- Collaborate with crossfunctional teams including product management engineering and business stakeholders to align ML initiatives with company goals.
- Develop ML solutions for recommendation systems personalization ranking and demand forecasting.
- Optimize ML infrastructure ensuring efficient resource utilization and scalability including leveraging cloudbased ML environments.
- Establish and enforce model governance data privacy and compliance frameworks within ML workflows.
- Drive research and innovation in ML techniques leveraging deep learning reinforcement learning and generative AI for business impact.
- Partner with business leaders to define key metrics and success criteria for ML models ensuring alignment with broader business objectives.
- Stay up to date with the latest ML advancements and assess their applicability to the companys business problems.
Required Qualifications
- Bachelors Masters or Ph.D. in Computer Science Machine Learning Artificial Intelligence or a related field.
- 6 years of experience in building and deploying ML models at scale with at least 2 years in a leadership role managing ML teams.
- Strong experience in ML frameworks such as TensorFlow PyTorch JAX or Scikitlearn.
- Proficiency in programming languages like Python.
- Handson experience with cloudbased ML services (AWS SageMaker GCP Vertex AI Azure ML).
- Strong knowledge of feature engineering model explainability bias mitigation and ethical AI practices.
- Experience with ML applications in ecommerce including recommendation systems search ranking fraud detection and demand forecasting.
- Experience in GPU acceleration highperformance computing or ML model optimization.
- Experience working with graph neural networks deep reinforcement learning or generative AI.
- Familiarity with business intelligence tools and data visualization for ML insights.
- Contributions to opensource ML projects or published research in MLrelated fields.
- Excellent communication and collaboration skills with the ability to articulate complex technical concepts to nontechnical stakeholders.
Benefits
- Comprehensive health insurance package including medical dental and vision. PPO/HMO packages
- 401k 4 company match
- Equity and Bonus
- Vacation sick and holiday time off
- Monthly mobile stipend
- Monthly Weee! Points credits
Compensation Range
- The US base salary range for this fulltime position is $185000 $243000
- 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 jobrelated 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.
Weee! is an equal opportunity employer welcomingall qualified applicants regardless of race color religion sex sexual orientation gender identity national origin disability status protected veteran status or any other basis prohibited by law. Discrimination or harassment of any kind is not tolerated at Weee!.If you need to inquire about an accommodation or need assistance with completing the application please email us at.
For more jobs and to find out more about Weee! visit our career page: https://about.sayweee/careers
Required Experience:
Senior Manager