Research Engineer, Content Understanding at Web Scale

Speedrun Talent Network; San Francisco (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Exa is an applied AI lab building a groundbreaking search engine. We develop massive-scale infrastructure to crawl the web, train state-of-the-art embedding models, and design high-performance vector databases to retrieve information globally.

As a backend engineer, you will contribute to search architecture, work on challenging problems like credibility and misinformation, and help define ground-truth where it does not yet exist.

Qualifications

• Graduate-level ML degree or equivalent with ≥2 years experience.
• Ability to build a PyTorch transformer from scratch and scale for cost.
• Experience building large-scale datasets and supervision-focused research.
• Comfort with defining ground truth where none exists yet.
• Interest in high-quality knowledge retrieval and misinformation handling.

Responsibilities

• Develop search architecture components and experiments.
• Work on large-scale data and supervision strategies for ML models.
• Collaborate with researchers and engineers across teams.
• Prototype and evaluate models for web-scale reliability.

Skills

Graduate-level ML

PyTorch transformer

Large-scale datasets

Ground-truth definition

Knowledge extraction

Education

Master’s or PhD in ML

Job description

Exa is an applied AI lab building a groundbreaking search engine. We develop massive-scale infrastructure to crawl the web, train state-of-the-art embedding models, and design high-performance vector databases to retrieve information globally.

As a backend engineer, you will contribute to search architecture, work on challenging problems like credibility and misinformation, and help define ground-truth where it does not yet exist.