Machine Learning Engineer, Data Quality

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

The Applied AI Research team works on innovative solutions to solve practical real-world problems with direct impact on users of the OpenAI API. Powerful language models like GPT-3 excel at learning behavior patterns from the pre-training or fine-tuning datasets. Thus the quality and scale of the datasets will play a crucial role in any applications built on top of such models. We seek a Machine Learning Engineer to help design and build the pipelines to collect and manage high-quality data for various projects within Applied AI. 

Candidates for the Machine Learning Engineer, Data Quality role should have good engineering skills, industry experience in Machine Learning / Data Science, knowledge of processing a large amount of data in various formats and passion for building AI products.

In this role you will:

• Design data pipelines, including finding appropriate data sources, scraping, filtering, post-processing, de-duplicating, and versioning. The system should be robust and scalable for production use.
• Design and implement frameworks to evaluate the effectiveness of our models and data. For example, set up the standards for an automated evaluation pipeline to run before any new model gets deployed into the API.
• Work closely with others who might be data contributors or consumers or both to incorporate their data usage needs on a variety of tasks and domains.
• Work with human labeling vendors to refine the procedure and guidelines to collect high-quality human annotation data.
• Conduct open-ended research to improve the quality of collected data, including but not limited to, semi-supervised learning, human-in-the-loop machine learning and fine-tuning with human feedback.

You might enjoy this role if you:

• Have 3+ years industry experience as a Data Engineer, Machine Learning Engineer, or Data Scientist, dealing with large amounts of data on a daily basis.
• Passionate about building cutting-edge AI products and solving real-world problems from our API developers.
• Have a strong belief in the criticality of high-quality data and are highly motivated to work with the associated challenges.
• Enjoy taking ownership while working with others to understand their needs. 
• Care about code quality and enjoy building tools that can be used by many others.
• Have experience working in large distributed systems.
• Love working with a team.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. 

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

Benefits and Perks

• Medical, dental, and vision insurance for you and your family
• Mental health and wellness support
• 401(k) plan with 4% matching 
• Unlimited time off and 18+ company holidays per year 
• Paid parental leave (20 weeks) and family-planning support
• Annual learning & development stipend ($1,500 per year)