Software Engineer, Ads Product

USD 150,000-350,000 per year

JUNIOR

✅ On-site

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

AI @ 3 Data Pipelines @ 3 Distributed Systems @ 3 Experimentation @ 3 Go Java @ 3 LLM Machine Learning @ 3 Payments @ 3 Python @ 3 React @ 3 Rust @ 3 Scala @ 3 gRPC @ 3

Details

SpaceXAI is seeking a software engineer to help rebuild and transform the X Ads Platform using its infrastructure and AI stack. The role involves working on products and systems operating at massive scale, with opportunities for early-career engineers to take ownership, learn from experienced engineers, and ship impactful products.

Responsibilities

Build and ship product features across the X Ads Platform.
Work on systems related to ad delivery, targeting, optimization, measurement, and advertiser experience.
Use SpaceXAI's infrastructure and AI capabilities to improve the performance and quality of advertising products.
Contribute to distributed systems that need to be reliable, fast, and scalable.
Collaborate with engineers, product leads, and cross-functional partners to turn ideas into working products.
Learn quickly, take ownership, and operate in a fast-moving environment where high-quality execution matters.
Debug, maintain, and improve production systems that serve real users and drive significant business impact.

Requirements

Strong software engineering fundamentals.
Ability to write clean, maintainable code and learn new codebases quickly.
Strong problem-solving skills and comfort working through ambiguity.
Experience building software through internships, projects, research, open-source work, startups, or full-time roles.
Interest in backend systems, distributed systems, data pipelines, product engineering, or AI applications.
A bias toward action, including shipping, learning from real users, and improving quickly.
Strong ownership mindset and willingness to take responsibility for meaningful parts of the product.
Excitement about building high-quality product experiences for advertisers and users.

Preferred Skills and Experience

Experience with ads, recommendations, search, ranking, marketplaces, payments, analytics, or growth systems.
Experience working with large-scale backend systems or data processing pipelines.
Experience with React, Golang, Python, Rust, gRPC, Java, or Scala.
Experience with machine learning, LLMs, experimentation, ranking, or optimization systems.
Prior startup, research, internship, or high-impact project experience.