Engineering Manager, MLE

Slope; San Francisco (CA); On-site; USD 120,000 - 150,000; Full time

Job summary

Slope seeks a Machine Learning Engineer to innovate and deploy advanced machine learning models. You will collaborate closely with researchers and product managers to solve real-world problems. This role allows you to directly contribute to the trust and safety of our AI technology.

Ideal candidates should have a Master's or PhD in a related field, and strong experience with deep learning and transformer models. Join us to push the boundaries of what's possible in AI.

Qualifications

• Master's/PhD degree in Computer Science, Machine Learning, Data Science.
• Demonstrated experience in deep learning and transformer models.
• Experience with content understanding or abuse prevention with LLMs is a plus.
• Proficiency in frameworks like PyTorch or Tensorflow.

Responsibilities

• Design and deploy advanced machine learning models that solve real-world problems.
• Collaborate with researchers and engineers to deliver AI-powered solutions.
• Implement scalable data pipelines and optimize models for performance.
• Monitor and maintain deployed models to ensure continued effectiveness.

Skills

Deep learning

Transformer models

Collaboration

Problem-solving

Data structures and algorithms

Education

Master's/PhD in Computer Science or related field

Tools

PyTorch

Tensorflow

Job description

About the Team

The Integrity team at OpenAI is dedicated to ensuring that our cutting‑edge technology is not only revolutionary, but also secure from a myriad of adversarial threats. We strive to maintain the integrity of our platforms as they scale.

The Integrity team is at the front lines of defending against misuse in all its forms: content abuse, scaled attacks, and other actions that could undermine the user experience or harm our operational stability.

About the Role

As a Machine Learning Engineer in OpenAI's Integrity team, you will work with some of the brightest minds in AI. You’ll work on state‑of‑the‑art models and classifiers, experiment with new architecture and approaches, and push forward our abilities in content and user understanding. You’ll help turn research breakthroughs into tangible solutions that improve the trust and safety of our platform. If you're excited about training LLMs and building ML models, this role is your chance to make a significant mark.

In this role, you will:

• Innovate and Deploy: Design and deploy advanced machine learning models that solve real‑world problems. Bring OpenAI's research from concept to implementation, creating AI‑driven applications with a direct impact.
• Collaborate with the Best: Work closely with researchers, software engineers, and product managers to understand complex business challenges and deliver AI‑powered solutions. Be part of a dynamic team where ideas flow freely and creativity thrives.
• Optimize and Scale: Implement scalable data pipelines, optimize models for performance and accuracy, and ensure they are production‑ready. Contribute to projects that require cutting‑edge technology and innovative approaches.
• Learn and Lead: Stay ahead of the curve by engaging with the latest developments in machine learning and AI. Take part in code reviews, share knowledge, and lead by example to maintain high‑quality engineering practices.
• Make a Difference: Monitor and maintain deployed models to ensure they continue delivering value. Your work will directly influence how AI benefits individuals, businesses, and society at large.

You might thrive in this role if you:

• Master's/PhD degree in Computer Science, Machine Learning, Data Science, or a related field.
• Demonstrated experience in deep learning and transformer models.
• Experience with content understanding or abuse prevention with LLMs is a plus.
• Proficiency in frameworks like PyTorch or Tensorflow.
• Strong foundation in data structures, algorithms, and software engineering principles.
• Familiar with methods of training and fine‑tuning large language models, such as distillation, supervised fine‑tuning, and policy optimization.
• Excellent problem‑solving and analytical skills, with a proactive approach to challenges.
• Ability to work collaboratively with cross‑functional teams.
• Ability to move fast in an environment where things are sometimes loosely defined and may have competing priorities or deadlines.
• Enjoy owning the problems end‑to‑end, and are willing to pick up whatever knowledge you're missing to get the job done.

Equal Opportunity Employer

We are an equal opportunity employer and do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or any other legally protected characteristic.

Background checks will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment in compliance with those laws.