Android AI ML Engineer - On-Device

Mountain View, United States | Posted on 06/24/2025

POSITION TYPE: Full Time (W2)

LOCATION: Mountain View, CA

ABOUTWorldLink:

WorldLinkis a rapidly growing information technology company atthe forefront of the tech transformation. From customsoftware development to cloud hosting, from big datato cognitive computing, we help companies harnessand leverage today’s most cutting-edge digitaltechnologies to create value and grow.

Collaborative. Respectful. Work hard Play hard. A place todream and do. These are just a few words that describewhat life is like at WorldLink. We embrace a culture ofexperimentation and constantly strive for improvement andlearning.

We takepride in our employees and their future with continuedgrowth and career advancement. We put TEAM first. We are acompetitive group that like to win. We're grounded byhumility and driven by ambition. We're passionate, andwe love tough problems and new challenges. You don'thear a lot of "I don't know how" or "Ican't" at WorldLink. If you are passionate aboutwhat you do and having fun while doing it; tired of rigidand strict work environments and would like to work in anon-bureaucratic startup cultural environment, WorldLink maybe the place for you.

We arelooking for an Android AI ML Engineer - On-Device who will be responsible forhelping 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.

Roleand 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.

• 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:
• 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.

• Self-motivatedindividual with the ability to thrive in a team-based orindependent environment.
• Detail-oriented with strongorganization skills.
• Ability to work in afast-paced environment.
• Limited supervisionand the exercise of discretion.

• 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.

Thephysical demands described here are representative ofthose that must be met by contract employee tosuccessfully perform the essential functions of thisjob. Reasonable accommodations may be made to enableindividuals with disabilities to perform the essentialfunctions.

Whileperforming the duties of this job, the contract employee isoccasionally required to stand, clean, crawl, kneel, sit,sort, hold, squat, stoop, stand, twist the body, walk, usehands to finger, handle, or feel objects, tools orcontrols, reach with hands and arms, climb stairs or laddersand scaffolding, talk or hear, and lift up to 20 pounds.Specific vision abilities required by the job includeability to distinguish the nature of objects by using theeye. Operate a computer keyboard and view a video displayterminal between 50% - 95% of work time, including prolongedperiods of time. Requires considerable (90%+) work utilizinghigh visual acuity/detail, numeric/character distinction, andmoderate hand/finger dexterity.

Performswork under time schedules and stress which are normallyperiodic or cyclical, including time sensitive deadlines,intellectual challenge, some language barriers, and projectmanagement deadlines. May require working additional timebeyond normal schedule and periodic travel.

WHATwe’ll bring:

Duringyour interview process, our team can fill you in on all thedetails of our industry-competitive benefits and careerdevelopment opportunities. A few highlightsinclude:

• MedicalPlans
• Vision Plan
• Short-TermDisability
• Long-Term Disability
• Critical Illness/ Accident/ Hospital Indemnity/ IdentityTheft Protection
• 401(k)

Oursuccess begins and ends with our people. We embracediverse perspectives and value unique humanexperiences. WorldLink is an Equal EmploymentOpportunity and Affirmative Action employer. All employmentat WorldLink is decided on the basis ofqualifications, merit, and business need. We endeavorto continue our footprint as a diverse organization byhighlighting opportunities for all people. WorldLinkconsiders applicants for all positions without regard torace, color, religion or belief, sex, (including pregnancy andgender 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 characteristicprotected by applicable laws. People with disabilities who needassistance with any part of the application process shouldcontact us.

Thisjob description is designed to cover the main responsibilitiesand duties of the role but is not designed to be acomprehensive list of all.

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