Applied AI Systems Engineer — Data Pipelines & Research
Mercor
14 days+
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Job summary
Mercor is seeking a Software Engineer on Applied AI in San Francisco to build and deploy systems at the intersection of AI research and data delivery. You'll work closely with leading AI labs and contribute to infrastructure that accelerates cutting-edge research. The role emphasizes governance over technical execution and requires strong backend engineering skills, with a responsibility for prototypes and scalable data solutions. Competitive compensation ranges from $130K to $500K annually, along with generous benefits and bonuses.
Qualifications
- Strong backend engineering fundamentals in modern programming languages like Python, Go, or Rust.
- Experience with model training and inference.
- Strong grounding in statistical analysis and experimental design.
Responsibilities
- Build and operate scalable data pipelines for post-training workflows.
- Prototype new data types, benchmarks, and evaluation frameworks.
- Lead technical discussions with customers.
Skills
Backend engineering fundamentals
Statistical analysis
Model training and inference
Comfort with ambiguity
Tools
Python
Go
Rust
Job description
Mercor is seeking a Software Engineer on Applied AI in San Francisco to build and deploy systems at the intersection of AI research and data delivery. You'll work closely with leading AI labs and contribute to infrastructure that accelerates cutting-edge research. The role emphasizes governance over technical execution and requires strong backend engineering skills, with a responsibility for prototypes and scalable data solutions. Competitive compensation ranges from $130K to $500K annually, along with generous benefits and bonuses.
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