Staff ML Engineer – Personalization & Recommender Systems

Headspace; San Francisco (CA); On-site; USD 130,000 - 180,000; Full time

Job summary

Headspace is seeking a Staff Machine Learning Engineer to lead the development of AI systems that enhance user experience through personalization. You will work on recommendation algorithms and collaborate with diverse engineering teams to deliver impactful solutions.

The ideal candidate has 5+ years of experience in ML engineering, strong proficiency in Python, and expertise in NLP tools. The role is based in San Francisco, California, and offers an innovative work environment.

Qualifications

• 5+ years of ML engineering experience in an academic or professional setting.
• Experience with modern NLP tools and machine learning libraries.

Responsibilities

• Lead the development of recommender systems for Headspace content.
• Contribute to the design and development of production-ready AI capabilities.
• Collaborate with software engineers and product leads to build features.

Skills

Machine Learning engineering

Python

Vector search

Embedding models

Recommender systems

Deep learning

Natural Language Processing (NLP)

Education

Bachelor of Science or higher in Computer Science, Statistics, Mathematics, or related field

Tools

scikit-learn

PyTorch

TensorFlow

spaCy

AWS

Job description

Headspace is seeking a Staff Machine Learning Engineer to lead the development of AI systems that enhance user experience through personalization. You will work on recommendation algorithms and collaborate with diverse engineering teams to deliver impactful solutions.

The ideal candidate has 5+ years of experience in ML engineering, strong proficiency in Python, and expertise in NLP tools. The role is based in San Francisco, California, and offers an innovative work environment.