Android AI/ML Engineer, On-Device (Remote - Mountain View, CA)

The Mom Project; Mountain View (CA); Remote; USD 150,000 - 200,000; Full time

Job summary

A leading technology company is seeking a remote Android AI/ML Engineer specializing in on-device machine learning for mobile systems. This position involves developing privacy-focused apps that leverage advanced ML techniques. Candidates should have a strong foundation in Android development, machine learning frameworks, and integration with cloud services. A competitive salary and contractor benefits are offered, along with opportunities to work in a collaborative and innovative environment.

Benefits

Medical

Dental

Vision

401k

Qualifications

• 5-7 years of experience in relevant field.
• Proficiency in Android development using Kotlin or Java.
• Experience with on-device ML frameworks and strong optimization skills.

Responsibilities

• Design, develop and deploy on-device ML models for Android.
• Collaborate with backend teams for cloud-based integrations.
• Apply model optimization techniques to enhance mobile app performance.

Skills

Kotlin

Android Software Development

Data Science and Machine Learning

Technical Program/Project Management

Education

Master's degree

PhD

Tools

PyTorch

TensorFlow Lite

ML Kit

MediaPipe

AWS SageMaker

Job description

Android AI/ML Engineer, On-Device (Remote - Mountain View, CA)

New

New Posted yesterday Job closed

Android AI/ML Engineer, On-Device (Remote - Mountain View, CA)

• Mountain View, CA

$75.00 - $90.00/hour

Exact compensation may vary based on skills, experience, and location.

40 hrs/wk

Contract (w2)

Remote work partially (99%)

Travel not required

July 7, 2025

End date

January 7, 2026

Superpower

Technology

Capabilities

Data Science and Machine Learning

Technology Architecture

Technical Program/Project Management

Preferred skills

PyTorch (Machine Learning Library)

Kotlin

Android Software Development

AWS SageMaker

Preferred industry experience

5 - 8 years of experience

Our Customer is a Silicon Valley-based company that is engaged in researching emerging technologies.

We are seeking a contract On-Device Android AI ML Engineer to help build intelligent, privacy-first mobile systems that can detect, respond to, and learn from dynamic real-world conditions. This role involves deploying resource-efficient ML models directly on Android devices, combined with backend integration for model management, telemetry, and secure update delivery. The ideal candidate has a strong background in on-device intelligence and cloud-integrated systems, especially in applications that require responsiveness, adaptability, and strict privacy controls.. This role is remote in Mountain View, CA (on-site preferred).

Responsibilities:

• Design, develop, and deploy on-device machine learning models optimized for Android, ensuring low latency and minimal resource consumption.
• Build robust and scalable ML pipelines using Android-native frameworks such as TensorFlow Lite, ML Kit (including Generative AI APIs), MediaPipe, and PyTorch Mobile.
• Develop efficient on-device data pipelines and inference mechanisms that support real-time decision-making.
• Apply model optimization techniques including quantization, pruning, and distillation to enhance performance on mobile hardware.
• Ensure all data processing and inference occur strictly on-device to support a privacy-first design approach.
• Collaborate with backend teams to integrate with cloud-based model orchestration systems such as MCP, enabling model versioning, remote updates, telemetry collection, performance monitoring, and rollout infrastructure including A/B testing.
• Implement secure local storage, encrypted data handling, and telemetry pipelines that adhere to privacy and compliance requirements.
• Support adaptive model behavior through on-device fine-tuning, personalization, or federated learning workflows.

Skills and Qualifications:

• 5-7 years of experience with a Masters degree, 3+ years of experience with a PhD
• Proficiency in Android development using Kotlin and/or Java with deep understanding of app architecture, background processing, and system APIs.
• Hands-on experience with on-device ML frameworks: TensorFlow Lite, ML Kit, MediaPipe, PyTorch Mobile.
• Solid understanding of mobile performance optimization, including model size, memory usage, and latency.
• Proven ability to integrate Android apps with backend/cloud systems for:
• Logging, telemetry, and analytics
• Experience with secure Android development, including permissions, sandboxing, encryption, and local data protection.
• Strong understanding of privacy-first ML system design and local-only data processing.

Preferred:

• Experience working with model orchestration platforms (e.g., MCP, Vertex AI, SageMaker, or internal tools).
• Familiarity with federated learning, on-device personalization, or differential privacy.
• Background in building real-time, data-driven features in mobile apps at scale.
• Familiarity with cloud infrastructure (e.g., GCP, AWS) for ML model deployment and monitoring.
• Previous work in high-sensitivity domains such as identity, privacy, mobile security, or regulated industries.

We offer a competitive salary range for this position. Most candidates who join our team are hired at the median of this range, ensuring fair and equitable compensation based on experience and qualifications.

Contractor benefits are available through our 3rd Party Employer of Record (Available upon completion of waiting period for eligible engagements)

Benefits include: Medical, Dental, Vision, 401k.

An Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

All applicants applying for U.S. job openings must be legally authorized to work in the United States and are required to have U.S. residency at the time of application.

If you are a person with a disability needing assistance with the application, or at any point in the hiring process, please contact us at [e-mail].