Artificial Intelligence (AI), Benchmarking, Best Practices, Machine Tool, Memory Management, Performance Modeling, Performance Tuning/Optimization, Python Programming/Scripting Language, Research Laboratory, Software Engineering, Time Management, Training/Teaching
San Francisco, California
About the job
Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.
Position: Python SWE
Type:Contract
Compensation:$100/hour
Location:Remote
Duration:1 month
Commitment:20 hours/week
Role Responsibilities
- Develop and maintain complex, production-grade Python systems for real-world environments.
- Design modular, testable codebases using modern Python tooling and best practices such as FastAPI and Pydantic.
- Optimize performance through profiling and memory management in Python.
- Collaborate with leading foundational model AI labs to improve AI model training and evaluation.
- Work independently and asynchronously to meet deadlines and enhance AI model performance.
Qualifications
Must-Have
- Experience working at top US tech firms.
- Proven track record with complex Python systems.
- Deep understanding of Python language fundamentals.
- Experience with FastAPI, Pydantic, and modern Python best practices.
Interview Process
- 90 mins human interview focused on Python. No AI IDE allowed; LLMs and Stack Overflow permitted.
Compensation & Legal
- Hourly contractor
- Paid $100/hour
Application Process (Takes 20–30 mins to complete)
- Upload resume
- AI interview based on your resume
- Submit form
Resources & Support
- For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
- For any help or support, reach out to: support@mercor.com
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
#hiringmercor