Early Career Research Engineer

Parallel Web Systems; Palo Alto (CA); On-site; USD 100,000 - 130,000; Full time

Job summary

A cutting-edge web technology company is seeking a Research Engineer to enhance its core research product. The role involves improving models for web-scale indexing and establishing training strategies. Candidates should possess deep intuitions for modern model systems and have a strong academic foundation. This fully in-person position is based in Palo Alto, CA, and aims to push research innovations into production.

Qualifications

• Have deep intuition for modern models and training.
• Experience with search, recommendations, and transformer-based systems.
• Strong academic background essential.

Responsibilities

• Enhance core research product to train and scale models.
• Shape model architecture and training strategy.
• Work closely with systems and product to implement research.

Skills

Deep intuition for modern models and training

Understanding of search and recommendations

Experience with transformer-based systems

Education

Strong academic foundation from a demanding program

Job description

About Parallel Web Systems

At Parallel Web Systems, we are bringing a new web to life: it’s built with, by, and for AIs. Our work spans innovations across crawling, indexing, ranking, retrieval, and reasoning systems. Our first product is a set of APIs for AIs to do more with web data.

We are a fully in-person team based in both San Francisco and Palo Alto, CA. Our organization is flat; our team is small and talent dense.

Aspirational Values

1. Own customer impact - It’s on us to ensure real-world outcomes for our customers.

2. Obsess over craft - Perfect every detail because quality compounds.

3. Accelerate change - Ship fast, adapt faster, and move frontier ideas into production.

4. Create win-wins - Creatively turn trade-offs into upside.

5. Make high-conviction bets - Try and fail. But succeed an unfair amount.

Job

Research engineer. You will enhance our core research product to train and scale models that serve a web-scale index. This includes shaping model architecture and training strategy, and working closely with systems and product to push research into production.

Qualifications

Have deep intuition for modern models and training. You like arguing how search, recommendations, and transformer-based systems converge. You care about research that ships and runs in production at real scale. You have a strong academic foundation, demonstrated through excellence in a demanding program.

Founder & Investors

Our founder is Parag Agrawal. Previously, he was the CEO and CTO at Twitter. Our investors include First Round Capital, Index Ventures, Khosla Ventures, and many others.