Ebay Engineering Lead 

United States, California, San Jose 

679289952

What you will accomplish:

• Manage, mentor, and grow a team of software and machine learning engineers, fostering a culture of innovation and continuous improvement.

• Define the short and long term technical direction for the team, set and communicate priorities, and collaborate effectively with internal and external stakeholders to support the broader organizational goals.

• Provide technical leadership and guidance in designing and implementing machine learning solutions for search products, focusing on model tuning, service optimization, and data pipeline efficiency.

• Manage complex projects that may span multiple quarters, utilizing key business metrics to inform product and technical decisions, while effectively communicating insights to partners.

• Manage technical debt and make long term technical architecture decisions, while ensuring alignment with the product roadmap.

• Establish and monitor key performance indicators (KPIs) to assess team effectiveness and drive delivery.

• Multiplies the effectiveness of others by facilitating effective cross-team collaboration.

• Empower inclusive leadership so that everyone, regardless of background or industry experience, feels valued, empowered and engaged.

What you will bring:

• MS/PhD in Computer Science, Statistics, Mathematics, or a related field.

• 8+ years of experience in software design and development, with a strong foundation in computer science concepts such as data structures, algorithms, and system design.

• 3+ years of experience in a technical leadership or management role, overseeing projects and guiding teams.

• Proven expertise in building and maintaining machine learning pipelines and services at scale.

• Self-motivated and fast learner, with strong analytical and problem-solving skills.

• Proficient in agile development methodologies and committed to maintaining high engineering standards.

• Effective at delegating tasks and driving proactive execution.

• Strong interpersonal skills and an appreciation for diversity in teamwork.

The base pay range for this position is expected in the range below: