OpenAI2 followers10 jobs

AI Deployment Engineer, Startups

Mid levelFull-timeHybridSydney NSW, AustraliaPosted 2 months agoVerified 2 months ago
Pending fitX of Y criteria met

About the job

The job is about joining the AI Deployment Engineering team, which collaborates closely with frontier startups to ensure the safe and effective deployment of OpenAI’s technology. This position plays a crucial role in bridging customer needs with model quality, translating complex use cases into actionable insights that enhance both customer experience and system performance. The team values collaboration, technical depth, and a product-minded approach, working together to drive impactful improvements in AI systems.

You'll be responsible for

🤝

Working directly with strategic startup customers

Understanding critical workflows, uncovering failure modes, and identifying high-impact opportunities for improvement.
🔧

Prototyping and iterating on prompts and agents

Better understanding system behavior and unlocking customer value through innovative designs.
📊

Synthesizing and delivering valuable feedback

Turning real usage patterns into clear, reproducible evaluations, benchmarks, and technical artifacts that improve model and product quality.

Key criteria

💻

Software engineering and AI fundamentals

Experience as a software engineer, ML engineer, or Data Scientist.

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🔄

Model training pipeline familiarity

Understanding of model training and reinforcement learning concepts.

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🛠️

AI applications and evaluation systems experience

Experience building AI applications and reasoning about model behavior.

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Meet the team

About the company

Apply on OpenAI
You'll apply on an external website
Think you're a good fit?See what the hiring team are looking for

View your fit

5 criteria for this job
Software engineering and AI fundamentals
Experience as a software engineer, ML engineer, or Data Scientist.

View

Model training pipeline familiarity
Understanding of model training and reinforcement learning concepts.

View

AI applications and evaluation systems experience
Experience building AI applications and reasoning about model behavior.

View

Technical communication skills
Ability to translate technical challenges for diverse audiences.

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High agency and product sense
Strong bias towards durable improvements over one-off fixes.

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