Staff ML Engineer – Search & Discovery Relevance
1 мес. назад
СШАLead
machine learningpythonpipelinesinfrastructure
Experienced machine learning engineer to lead development of next-generation search and discovery infrastructure in e-commerce.
Обязанности
- Build end-end Search & Discovery systems and help design the next-generation AI products to support the business growth
- Have strong execution with the ability to drive key developments and overcome technical blockers
- Ensure solid ML design and operational excellence
- Be metrics driven and can identify big opportunities
- Build strong collaborations with partner teams
- Recruit and develop world-class talent
Требования
- 6+ years of industry experience in technology companies.
- Have a broad and deep understanding of key technology areas including information retrieval, deep learning, large language modeling, data processing, real-time serving.
- Solid track record of delivering large and complex systems with big business impacts.
- Strong design and problem-solving skills.
- Excellent communications and collaborations across teams and across functionalities.
Будет плюсом
- Working experiences on search and recommendations systems.
- Search relevance and query understanding
- Technical Lead or Manager of teams
Условия
- Our compensation reflects the cost of living across several US geographic markets. At , your base pay is one part of your total compensation.
- The base pay for this position ranges from $174,000K/year to $299,000K/year. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills, and experience.
- General Description of All Benefits
- Medical/Dental/Vision/Life, AD&D insurance
- Flexible Spending Accounts (FSA) & Health Savings Account (HSA)
- Long-term/Short-term Disability
- Employee Assistance Program (EAP) program
- 401K Plan with Company Match
- 18-21 days of the Paid Time Off (PTO) a year based on the tenure
- 12 Public Holidays
- Paid Parental leave
- Pre-tax commuter benefits
- MTV - [Free] Electric Car Charging Station
- "Other Compensation" includes, but is not limited to, bonuses, equity, or other forms of compensation that would be offered to the hired applicant in addition to their established salary range or wage scale.
Как откликнуться
- Recruitment Process
- Application Review - Phone Interview - Onsite (or Virtual Onsite) Interview – Offer
- The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances.
- Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage
Другое
- is one of the largest and fastest growing e-commerce platforms on the planet. We are on a mission to revolutionize everyday lives for our customers, employees, and partners. We solve problems no one has solved before to create a world where people ask, “how did we ever live without ?” is a global company with offices in Beijing, Los Angeles, Seattle, Seoul, Shanghai, and Silicon Valley. We are on a mission to create a world without tradeoffs for our customers as we Aim High and Find a Way to Wow our Customers. We have been named one of the “50 Smartest Companies in the World” by MIT Technology Review and “30 Global Game Changers” by Forbes.
- Search & Discovery is the most critical customer facing experience within , relevantly match-making the billions of products to customer intent. We are building the next-generation infrastructure to sustain the hypergrowth of the business for the coming years. We are looking for an experienced and passionate engineer leader that can drive this effort across the stack, including serving, pipelines, and machine learning.
- The desired candidate can dive deep into underlying components, design and optimize the stack end-to-end and be a role model for building high-quality machine learning systems and delivering results with grit. Key to this position’s success will require the ability to understand business needs and work backwards to develop technical solutions while working effectively with leaders of individual teams and align technical directions with key stakeholders.
- This role will involve working closely with Search senior leadership (VP, Sr. Directors) and will offer the autonomy to identify and solve key Search problems and explore innovations in various areas like deep learning and large language modeling, with a specific focus to improve search relevance and quality.
- This job posting may be closed prior to the stated end date for application if all openings are filled.
- has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process.
- Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws.