Remote AI/ML Engineer for Mobile Apps

Air Apps; San Francisco (CA); Remote; USD 150,000 - 190,000; Full time

Benefits offered by this job

Apple hardware ecosystem for work.

Annual Bonus.

Medical Insurance (vision & dental)

Disability insurance

401k up to 4%

Air Conference

Free meals at the hub

Job summary

Air Apps is hiring an AI/ML Engineer to design, develop, and optimize machine learning models powering our mobile applications. You’ll collaborate with product managers, engineers, and designers to deliver intelligent features and data-driven user experiences.

The role emphasizes production-ready ML, deployment, and monitoring, with a focus on AI techniques for mobile environments. Remote-friendly team, strong emphasis on innovation and performance.

Qualifications

• 3+ years in AI/ML, preferably for mobile apps.
• Proficient in Python and ML frameworks (TensorFlow, PyTorch).
• Experience with deep learning, NLP, computer vision, and statistical modeling.
• Familiar with cloud-based ML services (AWS, GCP, Azure).
• Strong software engineering fundamentals and production deployment experience.

Responsibilities

• Develop, train, and optimize ML models for mobile app features.
• Research state-of-the-art AI techniques to boost engagement and performance.
• Collaborate with cross-functional teams to integrate AI-driven solutions.
• Design scalable ML pipelines for deployment and monitoring.
• Analyze large datasets to derive actionable insights.
• Stay updated on AI trends and best practices for development.
• Optimize AI models for mobile environments with low latency.

Skills

AI/ML development

Python

TensorFlow

PyTorch

Mobile ML

Tools

AWS

Google Cloud

Azure

Job description

Air Apps is hiring an AI/ML Engineer to design, develop, and optimize machine learning models powering our mobile applications. You’ll collaborate with product managers, engineers, and designers to deliver intelligent features and data-driven user experiences.

The role emphasizes production-ready ML, deployment, and monitoring, with a focus on AI techniques for mobile environments. Remote-friendly team, strong emphasis on innovation and performance.