Parallel Web Systems Logo

Parallel Web Systems

Early Career Research Engineer

Posted 10 Days Ago
In-Office
Palo Alto, CA
Entry level
In-Office
Palo Alto, CA
Entry level
The Research Engineer will enhance the core research product by shaping model architecture and training strategies, focusing on production-ready research.
The summary above was generated by AI
About us

Parallel is a web infrastructure company. Our products are used by leading businesses in sales, marketing, insurance, and coding to build best-in-class AI agents with flexible and powerful programmatic access to the web.

We've raised $130 million from Kleiner Perkins, Index Ventures, Spark Capital, Khosla Ventures, First Round, and Terrain to build the web for AIs. We're forming a world-class team of engineers, designers, marketers, sellers, researchers, and operational experts to achieve our mission.

About you

You're a researcher who thinks like an engineer, or an engineer who thinks like a researcher. You've worked on information retrieval systems, embedding models, or neural ranking at scale, or you're deeply curious about the fundamental problems that emerge when training models to understand and serve billions of web documents. You thrive in the space between theory and production, where elegant solutions must also run efficiently on real infrastructure. You're comfortable reading papers from SIGIR and RecSys one day and debugging distributed training pipelines the next.

The role

You'll design and train the models that power Parallel's APIs: the intelligence layer that helps AI agents find exactly what they need from the open web. This means tackling research problems that most labs encounter only at hyperscale: How do you train embedding models that capture semantic intent across diverse query types? How do you balance model expressiveness with sub-second retrieval latency? How do you maintain index freshness when the web updates constantly, without rebuilding from scratch?

Unlike traditional search engines built for human queries, you're building for AI agents that issue complex, multi-hop queries and expect structured, programmatic responses. This is information retrieval reimagined for the LLM era, work that combines classical IR techniques with modern deep learning, applied at a scale that demands new solutions.

Life at Parallel

Our team works fully in-person, between our Palo Alto HQ and San Francisco office. We’re a flat, talent-dense organization dedicated to solving technical and creative problems.

We seek like-minded individuals who share our passion for applying science, creativity, and consistency to big and complex problems with equally big outcomes. These are our values:

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

  • Obsess over craft: Perfect every detail because quality compounds.

  • Accelerate change: Ship fast, adapt faster, and move frontier ideas into production.

  • Create win-wins: Creatively turn trade-offs into upside.

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

Compensation & benefits
  • Competitive salary

  • Generous equity

  • Visa sponsorships

  • 401K plans

  • Daily lunch & office snacks

  • Dinner at the office

  • Unlimited vacation

  • Caltrain pass reimbursement

Top Skills

APIs
Transformers
HQ

Parallel Web Systems Palo Alto, California, USA Office

Palo Alto, California, United States, 94305

Similar Jobs

14 Days Ago
Hybrid
Mountain View, CA, USA
130K-170K Annually
Expert/Leader
130K-170K Annually
Expert/Leader
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
As a Machine Learning Engineer, you will develop AI/ML systems for robotics and manufacturing, adapt architectures for complex applications, and engage in research contributions.
Top Skills: AIC++Deep LearningJavaJaxKerasMachine LearningPythonPyTorchTensorFlow
7 Minutes Ago
Remote or Hybrid
Pleasanton, CA, USA
239K-299K Annually
Expert/Leader
239K-299K Annually
Expert/Leader
Cloud • Fintech • Information Technology • Machine Learning • Software • App development • Generative AI
The Senior Director, FP&A is responsible for managing corporate finance functions, including strategic financial planning, financial modeling, and performance reporting. They will collaborate with executives to drive financial insights and operational processes to support company growth.
Top Skills: Adaptive PlanningAdvanced Financial Planning ToolsCoupaExcelNetSuitePythonRSQLTableauZuora
7 Minutes Ago
Remote or Hybrid
United States
77K-90K Annually
Junior
77K-90K Annually
Junior
Cloud • Fintech • Information Technology • Machine Learning • Software • App development • Generative AI
The Mid-Market Account Executive sells BlackLine's SaaS platform to finance teams, achieving sales quotas through pipeline development and relationship building.
Top Skills: SaaSSalesforce

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account