Zoox
Zoox
Zoox izstrādā autonomās mobilitātes tehnoloģijas un īpaši mobilitātei kā pakalpojumam paredzētu transportlīdzekļu parku. Tās darbs apvieno robotiku, mākslīgo intelektu, transportlīdzekļu inženieriju, elektromobiļus un modernas sensoru tehnoloģijas, lai radītu drošāku, tīrāku un patīkamāku pārvietošanos. Uzņēmums koncentrējas uz to, kā cilvēki pieredz personīgo mobilitāti, izmantojot pilnībā autonomus transportlīdzekļus, kas veidoti, ņemot vērā pasažieru vajadzības.

Contract Student AI Validation and Benchmarking Engineer

Evaluate AI agent accuracy and build datasets for benchmarking. Support Zoox’s autonomous robotaxi technology with Python tools and analysis.

Apraksts

  • Contribute to the end-to-end validation pipeline for AI tools.
  • Maintain test datasets.
  • Operate benchmark pipelines and analyze results to spot routing errors and regressions across agent variants.
  • Create and expand ground truth datasets to compare agent outputs with verified answers.
  • Find gaps in benchmark validation and help strengthen evaluation infrastructure.
  • Define evaluation measures, including label accuracy and structured output correctness.
  • Investigate agent output failures and work with engineers to identify practical improvements.
  • Build scripts and tools to automate data collection, result parsing, and metric reporting.
  • Record findings, monitor benchmark trends, and share results with the team.
  • Collaborate with engineers and researchers developing autonomous technology.

Prasības

  • Be currently enrolled in a B.S. or M.S. program in computer science, data science, engineering, or a related discipline.
  • Be available for an assignment of at least three months.
  • Be able to work at least 20 hours per week.
  • Be able to work on-site at one of the company’s offices.
  • Follow Zoox confidentiality rules, including not using or sharing proprietary company information outside Zoox for academic research, theses, publications, or presentations.
  • Have familiarity with Cursor or Claude.
  • Have familiarity with Python.
  • Understand evaluation measures such as precision, recall, F1 score, and confusion matrices.
  • Be comfortable handling structured data formats such as CSV and JSON.
  • Have experience writing or modifying reproducible analysis scripts.
  • Have prior exposure to LLM-based systems, prompt engineering, or AI agent evaluation.
  • Have experience with Jira or Slack, such as ticketing or messaging tools.

Priekšrocības

  • Ongoing, meaningful work that can be done alongside academic studies.
  • Chances to learn and build new skills.
  • Practical experience in a professional setting.
  • Benefits eligibility is determined by the vendor.

Saistītās vakances

Henry Schein

Staff Data Engineer

Henry Schein

Lead technical strategy for scalable data platforms, streaming, and analytics at Henry Schein One, supporting dental practice technology. Advance reliability and engineering practices while guiding technical delivery.

Atvērt
Nakupuna Companies

Senior Software Engineer, .NET and Azure

Nakupuna Companies
1001 – 5000 Darbinieki
KonsultācijasLoģistikaValdība

Modernize NAVSUP supply systems for Nakupuna Federal by building secure applications, APIs, and CI/CD pipelines. Support Department of Defense clients.

Atvērt
Acxiom

Principal Software Architect, Identity Resolution

Acxiom

Lead architecture for Acxiom’s enterprise identity resolution platforms, distributed systems, and data services. Shape solutions built with Java, Python, Scala, AWS, Spark, Snowflake, and Databricks.

Atvērt
KAYAK

Senior Front-End Software Engineer, Retention

KAYAK

Build and improve retention features for KAYAK’s travel search products. Partner with product and design teams to deliver, test, and optimize user-facing experiences.

Atvērt
KAYAK

Senior Java Software Engineer, KAYAK Business Integrations

KAYAK

Build integrations between KAYAK for Business and airlines and travel suppliers. Lead reliable backend systems for corporate travel search, booking, and servicing.

Atvērt
TIAA

Senior Lead Cloud Engineer, Financial Crime Compliance

TIAA

Lead TIAA’s AI-enabled cloud transformation for Financial Crimes Compliance, shaping architecture, automation, and governance across enterprise systems. The role focuses on AWS or Google Cloud and combines technical leadership with hands-on engineering.

Atvērt