Senior ML Engineer: End-to-End AI for Fitness

Strava; San Francisco (CA); Hybrid; USD 120,000 - 150,000; Full time

Job summary

A leading fitness technology company in San Francisco is seeking a Machine Learning Engineer to join their innovative team. The role involves building and optimizing AI-driven product experiences for active users, driving AI projects from prototyping to deployment, and collaborating across teams. Ideal candidates will have experience in machine learning, strong communication skills, and a passion for fitness technology. This position follows a hybrid work model, requiring on-site work three days a week.

Qualifications

• Proven experience working on machine learning problems.
• Strong ability to communicate and collaborate across teams.
• Experience building and supporting machine learning models in production.

Responsibilities

• Build and optimize AI-driven product experiences for active users.
• Drive AI project development from model prototyping to deployment.
• Collaborate with cross-functional teams to design ML solutions.

Skills

Experience in machine learning

Interpersonal skills

Communication skills

Data analysis

Collaboration

Education

Relevant degree in computer science or related field

Tools

Python

R

Scikit learn

Pandas

NumPy

PyTorch

TensorFlow

Sagemaker

Spark

Hadoop

SQL

Snowflake

Job description

A leading fitness technology company in San Francisco is seeking a Machine Learning Engineer to join their innovative team. The role involves building and optimizing AI-driven product experiences for active users, driving AI projects from prototyping to deployment, and collaborating across teams. Ideal candidates will have experience in machine learning, strong communication skills, and a passion for fitness technology. This position follows a hybrid work model, requiring on-site work three days a week.