Title: Machine Learning Engineer, located in San Jose, CA or Seattle, WA.
Salary: Competitive, with a base salary range of $175,750 - $235,000 annually.
Summary: Ready to revolutionize E-commerce recommendations? Join a passionate team of applied machine learning engineers and data scientists at the forefront of innovation. The team is dedicated to pushing boundaries and transforming creative ideas into impactful solutions. As a Machine Learning Engineer, you'll leverage cutting-edge algorithms to enhance user engagement and satisfaction across the platform, shaping the future of digital commerce.
Key Responsibilities:
- Develop and optimize large-scale E-commerce recommendation algorithms, including commodity, live stream, and short video recommendations.
- Build robust user interest models to efficiently explore latent user interests from vast data sets.
- Design, implement, and iterate on predictive models for candidate generation and ranking, focusing on metrics like Click Through Rate and Conversion Rate.
- Create supporting tools and debug systems to ensure algorithm performance.
Key Qualifications:
- Bachelor's degree or higher in Computer Science or related fields.
- Strong programming skills with proficiency in languages like Python or C++.
- Experience in applied machine learning techniques such as Collaborative Filtering, Matrix Factorization, or Deep Learning frameworks like TensorFlow or PyTorch.
- Ability to solve complex problems and innovate in a fast-paced environment.
- Background in recommendation systems, online advertising, information retrieval, or related fields.
- Familiarity with large-scale data mining techniques and natural language processing.
Unofficial Benefits:
- Comprehensive health benefits including 100% premium coverage for employee medical insurance and significant coverage for dependents.
- Generous time-off policies, including holidays, Paid Personal Time Off (PPTO), sick days, and parental leave.
- Additional perks like mental health support, 401K company match, gym reimbursements, and cellphone service reimbursements.
Call to Action: Elevate your career and be part of a global movement to inspire creativity and joy. If you're passionate about machine learning and ready to shape the future of digital commerce, apply now and join us on this exciting journey!
