ML Baseline Engineer: Open-Ended Research Evaluator

Obsidian; San Francisco (CA); Hybrid; USD 120,000 - 160,000; Part time

Job summary

Obsidian in San Francisco is hiring experienced machine learning engineers and researchers to evaluate AI performance on real-world tasks. Candidates will work independently in a sandboxed environment while completing ML research tasks under time constraints.

A minimum of 20 hours per week is expected, with more availability preferred. Applicants must have 3+ years of machine learning experience and ideally have attended a top-100 university or worked at FAANG.

Qualifications

• 3+ years of machine learning experience.
• Strong expertise in ML frameworks like PyTorch or TensorFlow.
• Worked at a top-100 university or FAANG company.

Responsibilities

• Attempt open-ended ML research tasks under fixed budget.
• Work independently in a sandboxed environment.
• Record sessions and submit work product.

Skills

Machine Learning Experience

Experience with ML Frameworks (PyTorch, JAX, TensorFlow)

Data Pretraining

Reinforcement Learning

Model Architecture Design

Education

Degree from a top-100 university or FAANG equivalent

Job description

Obsidian in San Francisco is hiring experienced machine learning engineers and researchers to evaluate AI performance on real-world tasks. Candidates will work independently in a sandboxed environment while completing ML research tasks under time constraints.

A minimum of 20 hours per week is expected, with more availability preferred. Applicants must have 3+ years of machine learning experience and ideally have attended a top-100 university or worked at FAANG.