Job Information
NICE Systems, Inc. Machine Learning Engineer in SANDY, Utah
Job Description
NICE is looking for an exceptional MACHINE LEARNING SOFTWARE ENGINEER to join our team. As a MACHINE LEARNING SOFTWARE ENGINEER, you will play a vital role in enhancing our contact center solutions through the development of advanced algorithms and models. You will work in a collaborative team environment to explore and create solutions to industry problems using state-of-the-art large language models/Generative AI. You bring to this team environment several years' experience in MACHINE LEARNING as well as the curiosity and grit to see a project to delivery.
Responsibilities
- Conduct cutting-edge research and develop advanced ML algorithms and models.
- Build and fine-tune deep learning and machine learning models, with an emphasis on large language models.
- Communicate research findings, technical concepts, and model recommendations effectively to technical and non-technical stakeholders.
- Collaborate closely with business stakeholders to ensure model effectiveness and alignment with business objectives.
- Stay abreast of the latest advancements in LLM research and contribute to the development of our knowledge base.
Minimum Skills and Experience
- Minimum of 1 year of experience working with deep learning models using real-life ("industry") data.
- Excellent proficiency in Python programming and one or more deep learning libraries
- Experience with building and/or fine-tuning large language models, as well as traditional machine learning models.
- Strong research skills, with a proven track record of developing and implementing NLP algorithms.
- Excellent communication and presentation abilities.
Additional Desired Skills and Experience
- Advanced degree(s) in a STEM field: Computational Linguistics, Computer Science, Math, Engineering, etc.
- Experience deploying NLP models in production environments, ensuring scalability and performance.
- Published research papers in the field of NLP or related areas.
- Experience working on international, globe-spanning teams.
Equal Opportunity Employer - minorities/females/veterans/individuals with disabilities/sexual orientation/gender identity
