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:
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)
