Machine Learning Engineer, Applied AI
Description For Machine Learning Engineer, Applied AI
OpenAI, a leading AI research and deployment company, is seeking a Machine Learning Engineer to join their Applied Group in San Francisco. This role offers an exciting opportunity to work at the forefront of artificial intelligence, transforming groundbreaking research into real-world applications that can change industries, enhance human creativity, and solve complex problems.
As a Machine Learning Engineer at OpenAI, you'll collaborate with some of the brightest minds in AI, contributing to the deployment of state-of-the-art models in production environments. Your work will directly influence how AI benefits individuals, businesses, and society at large. You'll be involved in designing and deploying advanced machine learning models, implementing scalable data pipelines, and optimizing models for performance and accuracy.
The ideal candidate should have a Master's or PhD degree in a relevant field, demonstrated experience in deep learning and transformer models, and proficiency in frameworks like PyTorch or TensorFlow. Strong problem-solving skills, the ability to work collaboratively, and a proactive approach to challenges are essential.
OpenAI offers a competitive salary range of $310K – $550K, along with generous equity and benefits. These include comprehensive health insurance, mental health support, a 401(k) plan with 50% matching, unlimited time off, paid parental leave, and an annual learning & development stipend.
Join OpenAI in shaping the future of technology and ensuring that the benefits of AI reach everyone. This role presents a unique opportunity to make a significant impact in the field of artificial intelligence while working with cutting-edge technology and innovative approaches.
Responsibilities For Machine Learning Engineer, Applied AI
- Design and deploy advanced machine learning models that solve real-world problems
- Bring OpenAI's research from concept to implementation
- Work closely with researchers, software engineers, and product managers
- Implement scalable data pipelines
- Optimize models for performance and accuracy
- Ensure models are production-ready
- Monitor and maintain deployed models
- Contribute to projects that require cutting-edge technology
- Take part in code reviews and share knowledge
Requirements For Machine Learning Engineer, Applied AI
- Master's/ PhD degree in Computer Science, Machine Learning, Data Science, or a related field
- Demonstrated experience in deep learning and transformers models
- Proficiency in frameworks like PyTorch or Tensorflow
- Strong foundation in data structures, algorithms, and software engineering principles
- Experience with search relevance, ads ranking or LLMs is a plus
- Familiar with methods of training and fine-tuning large language models
- Excellent problem-solving and analytical skills
- Ability to work collaboratively with cross-functional teams
- Ability to move fast in an environment with competing priorities
- Enjoy owning problems end-to-end
Benefits For Machine Learning Engineer, Applied AI
- Medical, dental, and vision insurance for you and your family
- Mental health and wellness support
- 401(k) plan with 50% matching
- Unlimited time off and 13 company holidays per year
- Paid parental leave (20 weeks) and family-planning support
- Annual learning & development stipend ($1,500 per year)
