ML Engineering Manager, Integrity & Safety

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

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.