Senior Machine Learning Engineer (AI)

TL;DR

Senior Machine Learning Engineer (AI): Developing and deploying production-scale deep learning models for cloud-based AI solutions with an accent on neural network design and high-throughput deployment. Focus on building scalable data pipelines, optimizing model accuracy, and implementing state-of-the-art architectures in computer vision and NLP.

Location: San Francisco

Salary: $160,000 - $250,000

Company

A leading provider of cloud-based AI solutions empowering organizations with pre-trained models for content understanding and generation.

What you will do

• Design, code, train, and deploy neural network models to production.
• Build and maintain scalable, performant and secure data pipelines.
• Develop novel ML algorithms and conduct metric-driven research to improve performance.
• Write secure code following OWASP top 10 techniques to prevent vulnerabilities.
• Mentor junior ML engineers and collaborate cross-functionally with other teams.
• Contribute to core backend systems by suggesting and executing engineering improvements.

Requirements

• Bachelor's Degree in computer science or a related field.
• Minimum 5 years of experience building production-scale ML models.
• Proficiency in modern ML frameworks such as PyTorch or TensorFlow.
• Expertise in Python and shell scripting for data analysis.
• Experience writing code and training across distributed systems.
• Strong knowledge in at least one focus area, such as Computer Vision or NLP.

Culture & Benefits

• Opportunity to work at one of the fastest-growing AI startups in San Francisco.
• High-impact role where work directly affects the development of the company.
• Competitive base salary with potential for stock options.
• Steep learning curve in an ambitious, fast-paced engineering environment.