Android AI ML Engineer - Infrastructure

TITLE: Android AI ML Engineer - Infrastructure

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 - Infrastructure who will be responsible for developing advanced on-device machine learning systems that enable secure, adaptive, and scalable intelligence across mobile devices. The role emphasizes building intelligent, adaptive, and privacy-preserving ML systems that operate efficiently within the constraints of mobile environments. The ideal candidate will have strong experience in designing real-time, context-aware inference systems that can respond dynamically to local data patterns and behaviors.

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
  

• Implement local signal aggregation and real-time pattern recognition logic to enable responsive in-app actions driven by on-device inference.
  
• Architect systems that support telemetry, secure logging, and privacy-first feedback collection for monitoring and evaluation.
  
• Apply model compression and optimization techniques (e.g., quantization, pruning, distillation) to meet mobile performance constraints.
  
• Develop secure, privacy-first solutions where all data processing and ML inference occur strictly on-device, with no external data exposure.
  
• Enable mechanisms for continuous local learning and model updates using device-resident data and signals, without compromising privacy.
  
• Ensure integration with Android’s security model and collaborate with platform and product teams to deploy AI features safely at scale.
  

Required Experience and Education:

• 5-7 years of experience with a Masters degree, 3+ years of experience with a PhD.
  
• Proven experience in Android development (Kotlin/Java) is a plus, with strong understanding of system architecture, resource management, and performance tuning.
  
• Hands-on expertise with on-device ML frameworks including TensorFlow Lite, ML Kit, MediaPipe, and PyTorch Mobile.
  
• Solid foundation in machine learning and signal processing techniques, such as time-series modeling, clustering, classification, and real-time event detection.
  
• Strong knowledge of mobile data handling and Android security practices, including permissions, sandboxing, and secure data storage.
  
• Understanding of privacy-preserving learning techniques and data governance in mobile environments.
  
• Familiarity with secure data handling on Android, including encrypted storage, permissions, sandboxing, and secure compute enclaves.
  
• Experience with telemetry systems and evaluation pipelines for monitoring model performance on-device at scale.
  

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 building ML-driven mobile applications in domains requiring user personalization, privacy, or security.
  
• Understanding of real-time data processing and behavioral modeling on resource-constrained edge devices.
  
• Knowledge of on-device learning techniques, federated learning, or personalization methods.
  
• Prior contributions to systems using federated learning, differential privacy, or local fine-tuning of models is a plus.
  
• Experience with backend infrastructure for model management (e.g., model registries, update orchestration, logging frameworks) is a plus.
  
• Prior work with anomaly detection or behavioral modeling in resource-constrained environments is a plus.
  
• Experience developing responsive systems capable of monitoring local context and dynamically triggering actions based on model outputs is a plus.
  
• Experience optimizing models for ARM architectures 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)