LLM Research Engineer IV (Mountain View)

TITLE : LLM Research Engineer IV

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 todays 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 were looking for :

We are looking for a LLM Research Engineer IV to join our team.

Role and Responsibilities :

• Design, train, and fine-tune large language models (e.g., GPT, LLaMA, PaLM) for various applications.
• Conduct research on cutting-edge techniques in natural language processing (NLP) and machine learning to improve model performance.
• Explore advancements in transformer architectures, multi-modal models, and emergent AI behaviors.
• Collect, clean, and pre process large-scale text datasets from diverse sources.
• Develop and implement data augmentation techniques to improve training data quality.
• Ensure data is free from bias and aligned with ethical AI standards.
• Optimize model architecture to improve accuracy, efficiency, and scalability. Implement techniques to reduce latency, memory footprint, and inference time for real-time applications.
• Collaborate with MLOps teams to deploy LLMs into production environments using Docker, Kubernetes, and cloud Develop robust evaluation pipelines to measure model performance using key metrics like accuracy, perplexity, BLEU, and F1 score.
• Continuously test for bias, fairness, and robustness of language models across diverse datasets.
• Conduct A / B testing to evaluate model improvements in real-world applications.
• Stay updated with the latest advancements in generative AI, transformers, and NLP research.
• Contribute to research papers, patents, and open-source projects.
• Present findings and insights at conferences and internal knowledge-sharing sessions.

Required Experience and Education :

Necessary Skills and Attributes :

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 well 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.