Research Scientist / Engineer

Alexander Chapman; San Francisco (CA); On-site; USD 150,000 - 210,000; Full time

Job summary

Alexander Chapman seeks an ML Research Engineer to train embedding models for high-precision web search. You will design transformer-based search systems, build datasets, and develop evals to beat our internal SoTA, then iterate.

The role emphasizes scaling data pipelines, rigorous experimentation, and a focus on improving knowledge retrieval at web scale.

Qualifications

• Graduate-level ML experience (Masters/PhD with 2+ years or exceptional undergrad).
• Ability to implement a transformer from scratch in PyTorch.
• Experience creating large-scale datasets and exploring data deeply.
• Interest in finding high quality knowledge and its global impact.

Responsibilities

• Train embedding models for effective web search.
• Prototype novel transformer-based search architectures.
• Create datasets and evaluation protocols.
• Aim to surpass internal state-of-the-art results iteratively.

Skills

ML research

PyTorch transformer

Dataset creation

Knowledge retrieval

Education

Master's degree or PhD

Tools

PyTorch

Job description

The ML organization sits at the heart of our mission. We train foundational models for search. Our goal is to build systems that can instantly filter the world's knowledge to exactly what you want, no matter how complex your query. Basically, put the web into an extremely powerful database.

We're looking for an ML Research Engineer to train embedding models for perfect search over the web. The role involves dreaming up novel transformer-based search architectures, creating datasets, creating evals, beating our internal SoTA, and repeat.

Desired Experience

• You have graduate-level ML experience (Master's degree or PhD with at least 2 years of relevant experience, or are an exceptionally strong undergrad)
• You can code up a transformer from scratch in PyTorch
• You like creating large-scale datasets and diving deeply into the data
• You care about the problem of finding high quality knowledge and recognize how important this is for the world