AI Researcher (Large Language Models)
TavusFull Time
Mid-level (3 to 4 years)
San Francisco, California, United States
Key technologies and capabilities for this role
Common questions about this position
This is a fully in-person onsite role based in Palo Alto, CA.
Candidates need deep intuition on distributed systems, cloud platforms, performance tuning, and scalable architecture, along with the ability to reason about trade-offs between cost, reliability, and speed of iteration.
The organization is flat with a small, talent-dense team that emphasizes aspirational values like owning customer impact, obsessing over craft, accelerating change, creating win-wins, and making high-conviction bets.
This information is not specified in the job description.
Strong candidates have deep expertise in distributed systems and scaling infrastructure, care about enabling fast engineering velocity and reliable systems for millions of users, and align with values like obsessing over craft and making high-conviction bets.
Automated battery-electric rail freight solutions
Parallel Systems focuses on transforming freight transportation by shifting cargo movement from trucks to rail. They develop automated, battery-electric freight rail vehicles designed to integrate seamlessly with existing railroad operations. This technology allows railroads to service routes under 1,000 miles, providing a more efficient and environmentally friendly alternative to traditional trucking, especially for shorter distances. Unlike competitors, Parallel Systems emphasizes sustainability and flexibility, targeting railroads that want to expand their services and businesses looking for greener freight options. The company's goal is to reduce carbon emissions in the freight industry while offering innovative solutions that enhance operational efficiency for railroads.