Skip to content

Open nowPosted 2 days ago

MTS 2, Software Engineer

eBay255 open roles

Pay
$187,741 – $262,700 a year
Where
San Jose
Work mode
Hybrid
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowMTS 2, Software EngineereBay · San Jose
  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on eBay's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

11.5% of postings close within 7 days. Measured by our own scanner across the market. eBay postings stay open a median of 39 days.

Share of postings closed within
  1. 2.0%1 day
  2. 4.3%3 days
  3. 11.5%7 days
  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: posted 2 days ago

eBay median: 39 days open

The posting

At eBay, 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.

About the team and the role:

eBay Inc. seeks MTS 2, Software Engineer in San Jose, CA

What you will accomplish:

Job Duties: Design and Develop Backend Systems for Knowledge Graph Construction and Integration. Lead the architecture and implementation of backend systems that generate and maintain eBay’s Knowledge Graph (KG), which powers product search, recommendations, and selling experiences across the marketplace. Build scalable microservices and data orchestration layers that transform eBay’s massive buyer/seller activity data into structured knowledge entities and relationships. Collaborate with Applied Science Teams to Integrate Knowledge Graph Signals into ML Models and Search Ranking. Define and refine features such as entity embeddings, graph traversals, and semantic similarity measures for integration into eBay’s retrieval and ranking models. Provide Technical Leadership and Drive System-Level Innovation Across KG and Structured Data Domains. Serve as a technical lead across multiple cross-functional teams, providing strategic direction and architectural guidance in the design of graph-enabled products. Contribute to internal documentation, conduct design reviews, and mentor peers in KG best practices. Partial telecommuting permitted from a commutable distance.

What you will bring:

Minimum Requirements: Seven years of experience in the job offered or a related occupation.

Special Skill Requirements:

  • Design and develop backend systems for large-scale Knowledge Graph (KG) construction and integration. (2 years)
  • Architect and implement scalable microservices to process user activity data into structured knowledge entities. (2 years)
  • Build data orchestration layers supporting continuous generation and maintenance of large knowledge graphs. (2 years)
  • Collaborate with Applied Science teams to integrate KG-derived signals into machine learning and search ranking models. (2 years)
  • Define and enhance features such as entity embeddings, graph traversals, and semantic similarity measures for ML applications. (2 years)
  • Lead cross-functional efforts providing architectural guidance on graph-enabled product design and structured data systems. (2 years)
  • Drive technical innovation across KG and structured data domains to improve product search, recommendations, and selling experiences. (2 years)
  • Contribute to technical documentation, conduct design reviews, and mentor peers in Knowledge Graph development best practices. (1 year)

Salary: $187,741.00-262,700.00 per annum. 40 hours per week; M-F, 9:00 a.m. to 5:00 p.m.

Must be legally authorized to work in the U.S. without sponsorship.

Additional Details

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 401(k) eligibility and 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.

If hired, employees will be in an “at-will position” and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.

Remote roles are not eligible for U.S. visa sponsorship.

eBay 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, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at [email protected]. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities.

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.

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against eBay's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.
  3. We apply on eBay's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.
  4. Every reply, sorted

    eBay's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.
  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.