Job Description Summary

Job Description

Roles and Responsibilities

In this role you will:

• Be responsible for the fine-tuning of large language models including supervised fine-tuning (SFT) reinforcement learning from human feedback (RLHF) and domain-specific model adaptation to improve model performance and adaptability in vertical scenarios.
• Conduct in-depth research and optimization on Prompt Engineering design high-efficiency and high-robustness prompt templates and explore advanced prompt strategies to enhance model output quality and task completion efficiency.
• Optimize the Function Calling capability of large models improve the accuracy stability and generalization of model tool invocation and realize the seamless connection between models and external tools and services.
• Conduct research and implementation on advanced model reasoning technologies including Chain of Thought (CoT) reflection mechanism multi-step reasoning and long context management to solve complex reasoning tasks and extend the effective context window of models.
• Build a comprehensive LLM evaluation system conduct all-round testing and evaluation on models focusing on model hallucination problems output stability tool call accuracy reasoning ability and other core indicators and put forward targeted optimization plans.
• Track the cutting-edge research progress and technical trends in the field of large language models introduce advanced algorithms and technologies into business scenarios and promote the continuous iteration and upgrading of model technology.
• Be responsible for the research and development of the core Agent runtime system including the design and implementation of execution engine state machine memory module and tool call framework to ensure the efficient stable and scalable operation of the Agent system.
• Develop and optimize multi-Agent collaboration mechanisms realize core functions such as dialogue routing conflict resolution task decomposition and aggregation and build a collaborative system for efficient interaction and task division among multiple Agents.
• Optimize the scheduling logic and execution efficiency of the Agent engine solve the problems of task delay memory overflow and tool call failure in the Agent operation process and improve the overall performance of the system.
• Design the Agent system architecture with high availability and high scalability support the access of various types of large models and external tools and meet the needs of complex business scenarios.
  
• Be responsible for the connection and secondary development of mainstream open-source frameworks in the field of Agent including LangChain AutoGPT OpenCWA etc. and independently develop customized Agent frameworks and components according to business needs.
• Collaborate with product engineering and other teams to translate algorithm research results into implementable technical solutions and support the landing and application of large model products.
• Participate in agile processes: planning estimation retros andon-call (as needed)

Qualifications

• MS orPhD degree or above in Computer Science Artificial Intelligence Mathematics Statistics and other related majors with solid theoretical foundation in natural language processing machine learning and deep learning.
• More than 3 years of relevant working experience in large language model algorithm research and development familiar with the training fine-tuning and inference process of mainstream open-source large models (such as LLaMA Qwen ChatGLM series etc.).
• Proficient in deep learning frameworks such as PyTorch TensorFlow familiar with model fine-tuning tools such as PEFT LoRA and have hands-on experience in large model parameter-efficient fine-tuning.
• In-depth understanding of Prompt Engineering Function Calling Chain of Thought and other LLM related technologies with practical project experience in model reasoning optimization and long context processing.
• Experience in building LLM evaluation systems and conducting model hallucination stability and tool call accuracy testing is preferred.
• Proficient in Python programming with good data structure and algorithm foundation and strong code implementation and problem-solving abilities.
• Have strong learning ability and innovative thinking pay attention to industry cutting-edge dynamics and have the ability to independently tackle key technical problems.
• Good communication and collaboration skills able to efficiently cooperate with cross-team members to promote project progress.

NicetoHave

• CUDA/CuFFT/CuBLAS OpenMP SIMDvectorization

• Experience withgit jenkens devops etc.

• Publications/competitions or open-source contributions

SoftSkills

• Self-driven outcome-oriented turning researchcodeinto production

• Strong communication and cross-disciplinary collaboration

• Documentation and experiment reproducibilitymindset

Business Acumen:

Demonstrates the initiative to explore alternate technology and approaches to solving problems
Skilled in breaking down problems documenting problem statements and estimating efforts
Demonstrates awareness about competitors and industry trends
Has the ability to analyze impact of technology choices

Leadership:

Ability to takes ownership of small and medium sized tasks and deliver while mentoring and helping team members
Ensures understanding of issues and presents clear rationale. Able to speak to mutual needs and win-win solutions. Uses two-way communication to influence outcomes and ongoing results
Identifies misalignments with goals objectives and work direction against the organizational strategy. Makes suggestions to course correct
Continuously measures deliverables of self and team against scheduled commitments. Effectively balances different competing objectives
Personal Attributes:
Strong oral and written communication skills
Strong interpersonal skills
Effective team building and problem solving abilities
Persists to completion especially in the face of overwhelming odds and setbacks. Pushes self for results; pushes others for results through team spirit

Inclusion and Diversity

GE HealthCare is an Equal Opportunity Employer where inclusion matters. Employment decisions are made without regard to race color religion national or ethnic origin sex sexual orientation gender identity or expression age disability protected veteran status or other characteristics protected by law.

We expect all employees to live and breathe our behaviors: to act with humility and build trust; lead with transparency; deliver with focus and drive ownership always with unyielding integrity.

Our total rewards are designed to unlock your ambition by giving you the boost and flexibility you need to turn your ideas into world-changing realities. Our salary and benefits are everything youd expect from an organization with global strength and scale and youll be surrounded by career opportunities in a culture that fosters care collaboration and support.

Additional Information