Location: Hamilton
We are seeking a highly motivated and creative Prompt Engineer with a passion for research to join our Intelligence Solutions Advanced Analytics team. This role will combine the expertise of prompt engineering with the exploration of innovative applications of large language models (LLMs) through Internal Research and Development (IRAD) projects. The ideal candidate will have a strong understanding of NLP principles, expertise in crafting effective prompts, and a curiosity for pushing the boundaries of AI-powered communication and problem-solving.
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Design, develop, and iterate on prompts for various LLM applications (conversational AI, content generation, summarization, etc.).
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Experiment with prompt formats, styles, and techniques to optimize LLM performance and output quality.
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Analyze LLM-generated responses, identify biases or limitations, and implement mitigation strategies.
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Identify and propose innovative IRAD projects that leverage LLMs to solve complex problems or explore new capabilities.
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Conduct research, experiment with cutting-edge techniques, and develop prototypes for potential products or services.
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Collaborate with researchers, engineers, and other stakeholders to advance the state-of-the-art in LLM applications.
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Present research findings internally and externally, publish papers, and contribute to the AI/ML community.
Collaboration:
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Work closely with data scientists, machine learning engineers, and other prompt engineers to integrate prompts and research findings into the broader AI/ML pipeline.
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Share knowledge and best practices with the team, mentor junior engineers, and contribute to a collaborative learning environment.
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- Required Education, Experience, & Skills**
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BA/BS degree in Computer Science, Linguistics, or a related field.
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Strong understanding of NLP fundamentals (language models, text processing, tokenization).
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Experience with Python programming and relevant NLP libraries (e.g., Hugging Face Transformers).
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Proven track record of crafting clear, concise, and effective prompts for LLMs.
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Experience conducting independent research, publishing papers, and presenting at conferences (preferred).
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Demonstrated ability to identify and solve complex problems through innovative solutions.
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Excellent communication and collaboration skills to work effectively with cross-functional teams.
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A passion for AI research and a desire to push the boundaries of LLM capabilities.
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- Preferred Education, Experience, & Skills**
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Experience with reinforcement learning from human feedback (RLHF) techniques.
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Familiarity with prompt engineering tools and frameworks.
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Contributions to open-source NLP projects.
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Strong understanding of research methodologies and experimental design.
Full-Time Salary Range: $92290 - $156860
Please note:
This range is based on our market pay structures. However, individual salaries are determined by a variety of factors including, but not limited to: business considerations, local market conditions, and internal equity, as well as candidate qualifications, such as skills, education, and experience.
Employee Benefits:
At BAE Systems, we support our employees in all aspects of their life, including their health and financial well-being. Regular employees scheduled to work 20 hours per week are offered: health, dental, and vision insurance; health savings accounts; a 401(k) savings plan; disability coverage; and life and accident insurance. We also have an employee assistance program, a legal plan, and other perks including discounts on things like home, auto, and pet insurance.
Our leave programs include paid time off, paid holidays, as well as other types of leave, including paid parental, military, bereavement, and any applicable federal and state sick leave. Employees may participate in the company recognition program to receive monetary or non-monetary recognition awards. Other incentives may be available based on position level and/or job specifics.
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