Parallel Web Systems

About Parallel Web Systems

Empowering patients through quality cannabis products

🏢 Tech👥 251-1K📅 Founded 2014📍 Atlanta, Georgia, United States

Key Highlights

  • Headquartered in Atlanta, Georgia
  • Over $200 million raised in funding
  • Serves multiple states with medical cannabis
  • Employs between 251 to 1,000 people

Parallel is a leading cannabis company focused on cultivating, producing, and processing cannabis for medical purposes. Headquartered in Atlanta, Georgia, Parallel serves patients across several states and has established a strong presence in the medical cannabis market. The company has raised over ...

🎁 Benefits

Employees at Parallel enjoy competitive salaries, equity options, generous PTO, and a supportive remote work policy. The company also offers comprehen...

🌟 Culture

Parallel fosters a culture centered around compliance and quality, emphasizing the importance of patient care and education. The company values transp...

Overview

Parallel Web Systems is hiring an Early Career Research Engineer to enhance their core research product for AI applications. You'll work on model architecture and training strategies in a fully in-person team based in Palo Alto and San Francisco.

Job Description

Who you are

You are an early career professional with a strong academic foundation, demonstrating excellence in a demanding program. You possess a deep intuition for modern models and training, and you enjoy discussing how search, recommendations, and transformer-based systems converge. You are passionate about research that ships and runs in production at real scale, and you are eager to contribute to impactful projects that enhance customer outcomes.

You thrive in a collaborative environment where you can engage with a small, talent-dense team. You are motivated by the challenge of accelerating change and are committed to obsessing over craft, ensuring that every detail is perfected. You understand the importance of creating win-win scenarios and are willing to make high-conviction bets, embracing the possibility of failure as a stepping stone to success.

What you'll do

As an Early Career Research Engineer at Parallel Web Systems, you will enhance our core research product, focusing on training and scaling models that serve a web-scale index. You will shape model architecture and training strategies, working closely with systems and product teams to push research into production. Your role will involve collaborating with experienced engineers and researchers, allowing you to learn and grow in a supportive environment.

You will be responsible for contributing to the development of APIs that enable AIs to leverage web data effectively. This includes engaging in discussions about the convergence of various AI systems and ensuring that the research you conduct translates into real-world applications. You will have the opportunity to work on innovative projects that aim to redefine how AIs interact with the web, making a tangible impact on customer experiences.

What we offer

At Parallel Web Systems, we foster a culture of innovation and collaboration. You will be part of a fully in-person team based in Palo Alto and San Francisco, where you can engage directly with your colleagues and contribute to meaningful projects. We value your input and encourage you to bring your ideas to the table, helping us shape the future of AI-driven web technologies. Join us in our mission to create a new web built with, by, and for AIs.

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