eBay

Staff Machine Learning Engineer, MTS 2

eBay$120K — $150K *
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • MS or PhD in Computer Science, Statistics, Mathematics, or related field, or equivalent practical experience.
  • 8+ years of experience in software design and development with a focus on data structures and algorithms.
  • Experience leading technical initiatives without direct management responsibility.
  • Expertise in building and maintaining machine learning pipelines at scale.
  • Strong analytical skills with a capacity to navigate and clarify complex problems.
  • Experience in agile development with a commitment to high engineering standards.
  • Excellent communication and collaboration abilities.

Responsibilities

  • Provide technical leadership for software and machine learning initiatives.
  • Define technical direction aligning with product and organizational goals.
  • Design and optimize machine learning systems for search products.
  • Lead complex technical projects and communicate outcomes clearly to stakeholders.
  • Own system architecture and manage technical debt while ensuring scalability and reliability.
  • Establish metrics to monitor system health and engineering effectiveness.
  • Mentor engineers and facilitate cross-team collaboration.

Benefits

  • Opportunity for professional growth and impact in a tech-driven environment.
  • Culture of collaboration and learning in a diverse team.
  • Role model for inclusive engineering practices within a supportive team.
Full Job Description
About Our Team:

The Product Knowledge team is at the epicenter of eBay's Tech-driven, Customer-centric overhaul. Our team is responsible for building and leveraging eBay's Product Knowledge, enabling a deep understanding of user intent and preferences. By transforming vast and complex data into actionable intelligence, we deliver personalized experiences across different stages of the buying and selling journey. Our team has a mix of highly proficient people from fields including Machine Learning, Data Science, Software Engineering, and Big Data Analytics. We have a strong culture of collaboration, and plenty of opportunity to learn, make an impact, and grow!

The role: Staff ML Engineer

We are seeking a seasoned ML Engineer who will serve as a technical leader within a high-impact, fast-moving team. This role is ideal for an engineer who brings clarity and direction to complex problem spaces, leads through influence, and partners effectively across disciplines. You will drive architectural decisions, elevate engineering quality, and unblock teams through deep technical expertise and strong collaboration.

Responsibilities:
  • Provide technical leadership across software and machine learning initiatives, influencing design, architecture, and long-term technical strategy.
  • Define and drive short- and long-term technical direction, aligning engineering solutions with product and organizational goals.
  • Design, implement, and optimize machine learning systems for search products, including model tuning, service performance, and data pipeline efficiency.
  • Lead complex, multi-quarter technical projects, using business and system metrics to inform decisions and clearly communicate tradeoffs and outcomes to stakeholders.
  • Own and evolve system architecture, proactively addressing technical debt while ensuring scalability, reliability, and alignment with the product roadmap.
  • Establish and monitor key technical and delivery metrics to assess system health and engineering effectiveness.
  • Multiply the impact of other engineers by providing mentorship, technical guidance, design reviews, and by enabling effective cross-team collaboration.
  • Act as a role model for inclusive, collaborative engineering practices, fostering an environment where diverse perspectives are valued and engineers feel empowered to contribute.


Requirements:
  • MS or PhD in Computer Science, Statistics, Mathematics, or a related field, or equivalent practical experience.
  • 8+ years of experience in software design and development with strong fundamentals in data structures, algorithms, and system design.
  • Demonstrated experience leading technical initiatives and influencing engineering direction without direct people management responsibility.
  • Proven expertise in building, deploying, and maintaining machine learning pipelines and production services at scale.
  • Strong analytical and problem-solving skills, with the ability to navigate ambiguity and drive clarity.
  • Experience working in agile development environments with a strong commitment to high engineering standards and operational excellence.
  • Ability to proactively execute, break down complex problems, and guide others through technical decision-making.
  • Excellent communication and interpersonal skills, with a collaborative mindset and appreciation for diverse perspectives.


Additional Details

This job posting relates to an existing vacancy within eBay.

About eBay

As a leader in automotive ecommerce, eBay Motors brings you millions of potential customers. Our new simplified listing plans give you unmatched levels of customization and control. So whether you're listing twenty cars a month or an entire lot, you know you're getting the value that you deserve.

eBay Careers

Joining eBay’s dynamic team offers more than just job opportunities; it’s a chance to be part of a global marketplace that values innovation, leadership, and diversity. As a leader in online retail, eBay provides a platform where ambitions flourish and career growth is fostered through comprehensive diversity training and professional development. Work You’ll Do At eBay, we empower you to drive your career path forward with a range of employment options, from internships to full-time positions. Our culture thrives on innovation and the pursuit of excellence in the digital commerce landscape. By joining our team, you’ll collaborate with skilled professionals who are adept at blending technology and creativity to achieve high-impact results. Explore eBay’s Diverse Opportunities Whether you’re starting out with an internship or seeking a leadership role, eBay’s global presence offers vast opportunities for professional growth and networking. Our commitment to diversity and inclusive culture allows every team member to feel valued and motivated. Innovate and Lead At eBay, every position contributes to our mission of creating a more connected and seamless e-commerce experience. We encourage our team to lead projects that challenge the status quo and promote innovation. With eBay, you’re not just filling a role; you’re part of a pioneering company that’s continually reshaping the world of online retail. Benefits and Growth eBay is dedicated to the well-being and development of our employees. We offer competitive benefits, leadership training, and opportunities for career advancement. Investing in our team’s growth is paramount, as they are the driving force behind our success. Join Our Team Ready to take the next step in your career? Explore the job opportunities at eBay where your skills and creativity can shine. We are hiring individuals who are passionate, curious, and eager to drive change in the e-commerce industry. Stay Connected Keep up to date with the latest career tips, company news, and industry insights available through our eBay Careers Blog. Personalize your experience by subscribing to job alert emails that match your career interests and skills. Apply Now Start your journey with eBay today. Search open positions that align with your professional aspirations and submit your resume. Our interview process is designed to understand your capabilities and potential to grow with us. Join eBay and be part of a team that’s committed to creating impactful change in the marketplace. Discover the opportunities waiting for you at eBay – a place where your career can thrive in an environment of innovation and leadership.
Learn more about eBay
Size
10,800 employees
Market Cap
$21.7 billion
Industry
Net Income
$5.6 billion
Founded
1995
5 Year Trend
+2.3%
Revenue
$10.7 billion
NASDAQ

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