Android AI ML Engineer - On-Device

TITLE: Android AI ML Engineer - On-Device

POSITION TYPE: Full Time (W2)

LOCATION: Mountain View, CA



ABOUT WorldLink:

WorldLink is a rapidly growing information technology company at the forefront of the tech transformation. From custom software development to cloud hosting, from big data to cognitive computing, we help companies harness and leverage today’s most cutting-edge digital technologies to create value and grow.

Collaborative. Respectful. Work hard Play hard. A place to dream and do. These are just a few words that describe what life is like at WorldLink. We embrace a culture of experimentation and constantly strive for improvement and learning.

We take pride in our employees and their future with continued growth and career advancement. We put TEAM first. We are a competitive group that like to win. We're grounded by humility and driven by ambition. We're passionate, and we love tough problems and new challenges. You don't hear a lot of "I don't know how" or "I can't" at WorldLink. If you are passionate about what you do and having fun while doing it; tired of rigid and strict work environments and would like to work in a non-bureaucratic startup cultural environment, WorldLink may be the place for you.

For more information about our craft, visit https://worldlink-us.com .

WHO we’re looking for:

We are looking for an Android AI ML Engineer - On-Device who will be responsible for helping 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.

Role and 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 GenAI APIs)
  
• MediaPipe
  
• PyTorch Mobile
  

• Build robust and efficient on-device data pipelines and inference mechanisms for real-time decision-making.
  
• Apply model optimization techniques such as quantization, pruning, and distillation for performance on mobile hardware.
  
• Ensure privacy-first design by performing all data processing and inference strictly on-device.
  
• Collaborate with backend teams to integrate with cloud-based model orchestration systems (e.g., MCP or similar) for:
  

• Model versioning, delivery, and remote updates
  
• Telemetry collection and model performance monitoring
  
• Rollout and A/B testing infrastructure
  

• Implement secure local storage, encrypted data handling, and telemetry pipelines that meet privacy and compliance standards.
  
• Support adaptive model behavior through on-device fine-tuning, personalization, or federated learning workflows.
  

Required Experience and Education:

• 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 is a plus 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:
  

• Model lifecycle management (delivery, updates, rollback)
  
• 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.
  

Necessary Skills and Attributes:

• Self-motivated individual with the ability to thrive in a team-based or independent environment.
  
• Detail-oriented with strong organization skills.
  
• Ability to work in a fast-paced environment.
  
• Limited supervision and the exercise of discretion.
  

Preferred Qualifications:

• 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 is a plus.
  

Physical Demands:

The physical demands described here are representative of those that must be met by contract employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

While performing the duties of this job, the contract employee is occasionally required to stand, clean, crawl, kneel, sit, sort, hold, squat, stoop, stand, twist the body, walk, use hands to finger, handle, or feel objects, tools or controls, reach with hands and arms, climb stairs or ladders and scaffolding, talk or hear, and lift up to 20 pounds. Specific vision abilities required by the job include ability to distinguish the nature of objects by using the eye. Operate a computer keyboard and view a video display terminal between 50% - 95% of work time, including prolonged periods of time. Requires considerable (90%+) work utilizing high visual acuity/detail, numeric/character distinction, and moderate hand/finger dexterity.

Performs work under time schedules and stress which are normally periodic or cyclical, including time sensitive deadlines, intellectual challenge, some language barriers, and project management deadlines. May require working additional time beyond normal schedule and periodic travel.

WHAT we’ll bring:

During your interview process, our team can fill you in on all the details of our industry-competitive benefits and career development opportunities. A few highlights include:

• Medical Plans
  
• Dental Plans
  
• Vision Plan
  
• Life & Accidental Death & Dismemberment
  
• Short-Term Disability
  
• Long-Term Disability
  
• Critical Illness/ Accident/ Hospital Indemnity/ Identity Theft Protection
  
• 401(k)
  

WHAT you should know:

Our success begins and ends with our people. We embrace diverse perspectives and value unique human experiences. WorldLink is an Equal Employment Opportunity and Affirmative Action employer. All employment at WorldLink is decided on the basis of qualifications, merit, and business need. We endeavor to continue our footprint as a diverse organization by highlighting opportunities for all people.  WorldLink considers applicants for all positions without regard to race, color, religion or belief, sex, (including pregnancy and gender identity), age, national origin, political affiliation, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. People with disabilities who need assistance with any part of the application process should contact us.

This job description is designed to cover the main responsibilities and duties of the role but is not designed to be a comprehensive list of all.

Salary/Pay Range: $60.00-$93.00/hr (Depending on experience)