Open AI Careers - Machine Learning Engineer
180000.00 $
Published date: 2025/03/17
- Location: San Francisco, California, United States
Location: San Francisco, California, USA (Hybrid or Remote options available)
Company: OpenAI
Salary: $130,000 – $180,000 per year (+ stock options & bonuses)
Employment Type: Full-time / Permanent
Language Requirement: English
Job Description:
OpenAI is seeking a Machine Learning Engineer to develop, optimize, and deploy cutting-edge AI models in natural language processing (NLP), reinforcement learning, and computer vision. This role offers an opportunity to work on advanced AI research and real-world applications.
Responsibilities:
Develop and train large-scale deep learning models
Optimize AI algorithms for efficiency and scalability
Implement and fine-tune transformer-based architectures (GPT, DALL·E, CLIP, etc.)
Work on reinforcement learning, AI safety, and human-aligned AI
Collaborate with top AI researchers, software engineers, and data scientists
Qualifications:
Master’s or PhD in Computer Science, AI, or a related field
Strong programming skills in Python, PyTorch, TensorFlow, or JAX
Experience with large-scale distributed computing (AWS, Google Cloud, Azure)
Knowledge of machine learning, deep learning, and neural networks
Ability to work in a fast-paced, research-driven environment
Benefits:
Competitive salary + stock options & annual performance bonuses
Full health, dental, and vision insurance
Remote work flexibility & research funding opportunities
Company-sponsored participation in AI conferences & workshops
Career growth in a world-leading AI research organization
Company: OpenAI
Salary: $130,000 – $180,000 per year (+ stock options & bonuses)
Employment Type: Full-time / Permanent
Language Requirement: English
Job Description:
OpenAI is seeking a Machine Learning Engineer to develop, optimize, and deploy cutting-edge AI models in natural language processing (NLP), reinforcement learning, and computer vision. This role offers an opportunity to work on advanced AI research and real-world applications.
Responsibilities:
Develop and train large-scale deep learning models
Optimize AI algorithms for efficiency and scalability
Implement and fine-tune transformer-based architectures (GPT, DALL·E, CLIP, etc.)
Work on reinforcement learning, AI safety, and human-aligned AI
Collaborate with top AI researchers, software engineers, and data scientists
Qualifications:
Master’s or PhD in Computer Science, AI, or a related field
Strong programming skills in Python, PyTorch, TensorFlow, or JAX
Experience with large-scale distributed computing (AWS, Google Cloud, Azure)
Knowledge of machine learning, deep learning, and neural networks
Ability to work in a fast-paced, research-driven environment
Benefits:
Competitive salary + stock options & annual performance bonuses
Full health, dental, and vision insurance
Remote work flexibility & research funding opportunities
Company-sponsored participation in AI conferences & workshops
Career growth in a world-leading AI research organization
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