Mercor
Software Engineer, Applied AI
About this role
Mercor is seeking a Software Engineer in Applied AI to develop and optimize systems connecting AI research with data delivery. This role involves significant ownership and collaboration with AI labs and clients, focusing on creating scalable data solutions and prototypes.
What you'll do
- Collaborate with AI labs to identify data and evaluation needs
- Develop scalable data pipelines for post-training models
- Create systems for synthetic data generation and quality control
- Prototype innovative data types and evaluation frameworks
- Lead technical discussions with customers
- Manage projects from requirements to production
What they're looking for
- Backend engineering proficiency in Python, Go, or Rust
- Experience with model training and inference
- Grounding in statistical analysis and experimental design
- Familiarity with evaluation methods for language models
- Ability to navigate ambiguity and iterate quickly
- Strong communication skills for diverse audiences
Benefits
- Bi-annual performance bonuses
- Equity grants over 4 years
- Relocation bonuses up to $15k
- Proximity bonus of $10K for nearby residents
- $1.5K monthly meal stipend
- Free Equinox membership
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Mercor
Mercor builds a marketplace platform connecting expert talent to AI opportunities, supported by identity infrastructure, matching algorithms, and internal tools for data management. The company is hiring Software Engineers, Machine Learning Engineers, Fullstack Engineers, and Security Engineers to develop backend systems, ML models, cloud infrastructure, and distributed platforms.
- Website
- mercor.io
Likely interview questions
- Walk us through a project where you built a data pipeline for model training or evaluation. What were the key technical decisions and how did you measure success?
- Describe your experience with model inference and post-training workflows. How have you optimized for scale or quality?