TITLE: On-Device LLM Research Engineer 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 On-Device LLM Research Engineer with expertise in developing LLM-specific applications for mobile, edge, and resource-constrained environments. You will be responsible for focusing on building, fine-tuning, and optimizing large language models (LLMs) for practical, real-world applications within the connected-things ecosystem (mobile, wearable, appliance, connected car, etc.). You will play a key role in ensuring that LLMs are efficiently deployed on devices using frameworks such as LiteRT, ExecuTorch, Mediapipe LLM among others. Collaborating with cross-functional teams, you will tackle challenges in mobile AI, NLP, and security, delivering high-performance products to enhance user experiences. Role
and Responsibilities:
Design and development of LLM-driven applications for mobile, wearable, and IoT devices, ensuring optimized performance for on-device deployment.
Research and build efficient LLM architectures, focusing on improving performance and minimizing computational overhead on resource-constrained devices.
Develop and fine-tune LLMs for specific tasks, ensuring high efficiency and low latency for mobile devices while maintaining accuracy and real-time capabilities.
Implement advanced search capabilities in LLM applications by integrating knowledge graphs, vector-based search, and keyword-based hybrid search to deliver more relevant and contextual results.
Implement model distillation, fine-tuning, and compression techniques to create models that run efficiently on mobile and edge devices.
Work with mobile frameworks such as LiteRT, ExecuTorch, Mediapipe LLM, and similar technologies to deploy LLMs on mobile and embedded platforms.
Collaborate with engineering teams to implement and deploy LLM solutions at scale, continuously iterating on performance, robustness, and user experience.
Integrate retrieval-augmented generation (RAG) pipelines where necessary, enhancing LLM-driven applications by leveraging external data sources for more dynamic responses.
Stay updated on emerging trends in LLM technologies and mobile frameworks, integrating the latest research into practical applications.
Required Experience and Education:
3 years of professional engineering experience in machine learning, deep learning, or NLP, with a strong focus on LLM-specific applications.
Bachelor's degree in engineering, computer science or equivalent is required. Master's degree in engineering, computer science, or equivalent is a plus.
Extensive hands-on experience with LLM architectures and their application in real-world products, particularly for on-device or resource-constrained environments.
Expertise in fine-tuning and optimizing LLMs for mobile, wearable, or IoT platforms.
Proven experience with knowledge graph construction, vector search techniques, and hybrid search (combining keyword-based and vector search) for improving search relevance in LLM applications.
Proven experience with LLM model distillation, pruning, and quantization to create highly efficient models for deployment on mobile and embedded systems.
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.
Strong problem-solving skills, particularly in the optimization of LLM-driven applications.
Ability to manage multiple projects in a fast-paced environment, focusing on LLM applications that provide real-world impact.
Passion for exploring and applying LLM technologies, search techniques, and knowledge graphs to enhance user experiences through novel and efficient solutions.
Preferred Qualifications:
At least 7 years of academic or industrial experience in NLP and LLM development, with a focus on building and deploying real-world applications.
Ph.D. in artificial intelligence, machine learning, or NLP.
Deep expertise in building LLM-driven applications optimized for mobile devices.
Experience with on-device mobile frameworks such as LiteRT, ExecuTorch, Mediapipe LLM, focusing on efficient deployment of LLMs in resource-constrained environments.
Expertise in model compression techniques (e.g., pruning, distillation, quantization) for mobile devices, ensuring minimal latency and optimal performance.
Proven experience with on-device LLM deployment, managing trade-offs between model performance, latency, memory, and power consumption.
Familiarity with retrieval-augmented generation (RAG) and its integration into LLM-driven applications to enhance contextual and knowledge-based responses.
Publication record in top-tier venues in LLM-related fields or NLP.
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 needs. 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: $60.00-96.00/hr (Depending on experience)
