Research Engineer - Content Understanding, Large-Scale AI

engineeringjobs.net, Inc.; San Francisco (CA); On-site; USD 170,000 - 230,000; Full time

Job summary

Exa is an applied AI lab building a novel search engine. As a backend engineer, you will play a critical role in our search architecture and scale ML systems to crawl and index the web.

We seek candidates with graduate ML experience and a track record in PyTorch; you should thrive on large-scale datasets, data supervision, and tackling problems where ground truth evolves. This is a highly technical role with room to explore exciting research-driven projects.

Qualifications

• Graduate-level ML experience or exceptional undergrad.
• Experience building transformer models in PyTorch.
• Ability to work on large-scale datasets and data supervision.
• Comfort with ambiguous ground truth tasks and defining it as part of the job.

Responsibilities

• Contribute to scalable search architecture and backend systems.
• Develop classification and extraction components for web-scale data.
• Collaborate cross-functionally to improve page quality, credibility signals, and retrieval performance.

Skills

Backend engineering

Search architecture

ML systems

PyTorch

Large-scale data

Job description

Exa is an applied AI lab building a novel search engine. As a backend engineer, you will play a critical role in our search architecture and scale ML systems to crawl and index the web.

We seek candidates with graduate ML experience and a track record in PyTorch; you should thrive on large-scale datasets, data supervision, and tackling problems where ground truth evolves. This is a highly technical role with room to explore exciting research-driven projects.