Improve the runtime, cost, and reliability of our online and offline eval pipelines.
Contribute code and architecture, review designs, and mentor other engineers on the team.
What we’re looking for
5+ years of experience in software, AI, or ML engineering.
Strong proficiency in Python; experience with TypeScript is a plus.
Experience evaluating LLM systems, such as LLM-as-judge, rubric design, goldset curation, or measuring judge agreement.
Experience with LLM observability or evaluation tools such as Langfuse, Braintrust, or similar.
Experience building data pipelines, ETL processes, or streaming data systems.
Experience with analytics platforms and data warehouses such as Databricks or Snowflake.
Ability to communicate eval results clearly and influence the teams that build on them.
Degree in computer science or a related technical field, or equivalent practical experience.
Additional Information
Base Pay Range
140,960.00 - 193,820.00 USD Annual
This role may also be eligible for Equity Compensation and/or Bonus Incentive Compensation. Procore is committed to offering competitive, fair, and commensurate compensation. Actual compensation will be based on a candidate’s job-related skills, experience, education or training, and location.
For Los Angeles County (unincorporated) Candidates
Procore will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable federal, state, and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
A criminal history may have a direct, adverse, and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: 1. appropriately managing, accessing, and handling confidential information including proprietary and trade secret information, as well as accessing Procore's information technology systems and platforms; 2. interacting with and occasionally having unsupervised contact with internal/external customers, stakeholders, and/or colleagues; and 3. exercising sound judgment.
