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职位eBay

Sr Data & ML Engineer, MTS 1

eBay

Sr Data & ML Engineer, MTS 1

eBay

Toronto

·

On-site

·

Full-time

·

1mo ago

必备技能

Excel

Machine Learning

At e Bay, we're more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.

Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work — every day. We're in this together, sustaining the future of our customers, our company, and our planet.

Join a team of passionate thinkers, innovators, and dreamers — and help us connect people and build communities to create economic opportunity for all.

e Bay is a global commerce leader that empowers individuals to shape how the world buys, sells, and contributes. Our work culture has been rooted in genuine commitment to diversity and inclusion since our founding 30 years ago. Here, you have the freedom to be yourself, excel in your work, and make a meaningful impact on people worldwide. We are seeking individuals with drive, innovative ideas, and a passion for ensuring our customers' success and influencing the future of e Bay. If this resonates with you, we'd love to have a conversation with you!

About Our Team:

​The Product Knowledge team is at the epicenter of e Bay’s Tech-driven, Customer-centric overhaul. Our team is responsible for building and leveraging e Bay’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: Sr Data & ML Engineer, MTS 1

We are seeking a seasoned Data & 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:

  • Own a functional area end-to-end; set coding and documentation standards.

  • Communicate risks/trade-offs and influence decisions across the team.

  • Map business problems to production-ready solutions.

  • Champion engineering excellence: security, scalability, performance, availability.

  • Identify cross-system gaps, propose solutions and drive resolution.

  • Drive ramp, launch, and observability.

Requirements:

  • B.Sc. or M.Sc. in Computer Science or an equivalent professional experience.

  • 3–6 years of experience in software design and development with strong fundamentals in data structures, algorithms, and system design.

  • Experience with spark data pipelines, microservices with REST/GraphQL APIs, and event‑driven patterns.

  • Solid understanding of data modeling and persistence plus NoSQL and caching.

  • Hands‑on with cloud, containers (Docker/Kubernetes), and CI/CD pipelines.

  • Strong testing discipline (unit, integration, contract, E2E).

  • Passion and commitment for technical excellence.

  • Excellent communication and interpersonal skills, with a collaborative mindset and appreciation for diverse perspectives.

Additional Details

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

C**$142,400** - C**$190,100**

Base pay offered may vary depending on multiple individualized factors, including location, skills, and experience. The total compensation package for this position may also include other elements, including a target bonus and restricted stock units (as applicable) in addition to a full range of medical, financial, and/or other benefits (including RRSP eligibility, various paid time off benefits, such as PTO and parental leave). Details of participation in these benefit plans will be provided if an employee receives an offer of employment.

This job posting relates to an existing vacancy within e Bay.

e Bay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at talent@ebay.com. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about e Bay's commitment to ensuring digital accessibility.

We use cookies to enhance your experience and may use AI tools for administrative tasks in the hiring process. To learn how we handle your personal data and use AI responsibly, please visit our Talent Privacy Notice, Privacy Center, and AI Hiring Guidelines.

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关于eBay

eBay

eBay

Public

eBay Inc. is an American multinational e-commerce company based in San Jose, California, that allows users to buy or view items via retail sales through online marketplaces and websites in 190 markets worldwide.

10,001+

员工数

San Jose

总部位置

$28.1B

企业估值

评价

3.8

5条评价

工作生活平衡

4.2

薪酬

2.5

企业文化

4.0

职业发展

2.8

管理层

3.5

优点

Good work-life balance

Great culture and environment

Nice colleagues and supportive people

缺点

Limited opportunities for growth

Old technology and systems

Call quotas and difficult customers

薪资范围

2,731个数据点

Junior/L3

Junior/L3 · BUSINESS DEVELOPMENT 1

1份报告

$126,500

年薪总额

基本工资

$110,000

股票

-

奖金

-

$126,500

$126,500

面试经验

4次面试

难度

3.0

/ 5

时长

14-28周

体验

正面 0%

中性 75%

负面 25%

面试流程

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Interview

5

Team Matching

6

Offer

常见问题

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

Past Experience