Research Engineer

Research Engineer – AI Safety

📍 San Francisco | Onsite / Open to relocation

💰 $200k–$400k + Equity

OJ Digital is working with a fast-growing, well-funded AI company looking for exceptional Research Engineers to join its team in San Francisco.

The company is tackling one of the most important technical challenges in AI: understanding how increasingly capable AI systems behave, identifying where they fail, and helping ensure they remain safe, reliable and aligned as their capabilities develop.

This is a highly technical role combining software engineering, AI research and hands-on work with advanced AI systems. You do not need to come from a traditional research background. The team is open to outstanding Software Engineers, ML Engineers, Security Engineers and Researchers with strong technical fundamentals and a genuine interest in AI safety, model behaviour and evaluation.

You’ll be given significant ownership from day one, working independently on difficult technical problems while collaborating closely with a small, highly capable engineering and research team.

🚀 Key Responsibilities

• Build and own complex technical projects from initial idea through to delivery
• Design and improve methods for testing and evaluating the behaviour of advanced AI systems
• Investigate where models or agents fail, behave unexpectedly or produce unreliable outputs
• Work with LLMs and AI agents where relevant, including analysing and critically evaluating their outputs
• Build primarily in Python
• Develop evaluation frameworks, benchmarks, monitoring or verification systems
• Identify subtle weaknesses that automated systems or standard testing approaches may miss
• Quickly understand unfamiliar technical domains and apply that knowledge to new problems
• Continuously test, refine and improve the quality and reliability of your work

🌟 Required Skills and Experience

• 1+ years of experience in Software Engineering, Machine Learning Engineering, AI Research or a closely related technical field
• Exceptional generalist software engineering ability
• Strong Python skills
• Hands-on experience evaluating, testing, monitoring or critically analysing AI/ML systems
• Strong conceptual reasoning and problem-solving ability
• Comfortable independently owning technical projects end-to-end
• Ability to learn new technical domains quickly
• Genuine demonstrated interest in AI alignment, AI safety, model evaluation, interpretability, verification or the safe and reliable behaviour of advanced AI systems

📦 The Package

• Base Salary: $200,000–$400,000
• Equity: Competitive equity package
• Location: San Francisco
• Working Model: Primarily in-person with some flexibility
• Relocation: Open to candidates willing to relocate to San Francisco
• Visa: Sponsorship and visa transfers available
• Interview Process: Short, fast-moving process
• Hiring: Multiple positions available