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Role Description
Join a groundbreaking project at the forefront of AI innovation. As a Junior SWE, you will drive the development of intricate database schemas, build sophisticated APIs, and create realistic environments designed to support cutting-edge Reinforcement Learning models. Your technical leadership will be essential in crafting globally-used platforms for advanced AI training and deployment.
- Lead engineering teams in building sophisticated database structures and API systems.
- Oversee the development and deployment of secure authentication mechanisms, policy enforcement, and comprehensive backend systems.
- Populate environments with realistic, synthetic data optimized for advanced AI model training.
- Ensure applications are performant, secure, and modular.
- Navigate the unique constraints presented by Reinforcement Learning environments.
- Flexible workload: 10–20 hours weekly, with the potential to scale to 40 hours.
- Fully remote and asynchronous scheduling.
- Initial commitment of 1–2 months, with opportunities for extension.
Qualifications
- 1+ years of elite software engineering experience from top-tier technology startups, quantitative trading firms, hedge funds, or similarly demanding environments.
- Computer Science degree from a prestigious university in the U.S., Canada, or the UK.
- Demonstrated success leading teams to build complex database schemas.
- Expert-level proficiency in API development, including creation, testing, and integration.
- Highly skilled in SQL and database structuring.
- Exceptional attention to detail and rigorous problem-solving skills.
- Excel in both written and verbal communication.
Requirements
- Based in the U.S., UK, or Canada.
Benefits
- Hybrid blend of hourly and commission-based pay, or just commission-based pay.
- Blended hourly rate around $120/hr, dependent on individual throughput.
Company Description
Mercor connects elite talent with leading AI research labs and is headquartered in San Francisco, CA. Our distinguished investors include Benchmark, General Catalyst, Peter Thiel, Adam D’Angelo, Larry Summers, and Jack Dorsey.
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