Machine Learning Engineer

Posted 2 Days Ago
Be an Early Applicant
Sandy, UT
Junior
Cloud • Software • Analytics
The Role
As a Machine Learning Engineer at NICE, you will enhance contact center solutions through development of advanced algorithms, focusing on prompt engineering and large language models. Key responsibilities include diagnosing production issues, collaborating with stakeholders, and conducting research to design ML models.
Summary Generated by Built In

At NICE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you.

Job Description

NICE is looking for an exceptional Machine Learning Engineer to join our team. As a Machine Learning Engineer, you will play a vital role in enhancing our contact center solutions through the development of prompt engineering as well as 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 and 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

  • Help diagnose and resolve issues with production prompts.
  • Work with customer-facing stakeholders to capture customers' goals for generative AI applications.
  • Conduct cutting-edge research and develop advanced ML algorithms and models, including domains outside generative AI such as cluster analysis and anomaly detection.
  • Communicate research findings, technical concepts, and model recommendations effectively to technical and non-technical stakeholders.
  • Build and fine-tune deep learning and machine learning models, with an emphasis on large language models.
  • Stay informed 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
  • Familiarity with best practices in prompt engineering.
  • Experience with building and/or fine-tuning large language models as well as traditional machine learning models.
  • Ability to develop and maintain good working relationships with cross-functional teams.
  • Ability to clearly communicate and present to internal and external stakeholders.


Additional Desired Skills and Experience

  • Advanced degree in a STEM field: Data Science, Machine Learning, Computer Science, Math, Engineering, etc.
  • Published research papers in the field of NLP or related areas.
  • Experience with Python and at least one web app framework for prototyping, e.g., Streamlit or Flask.
  • Experience working on international, globe-spanning teams.

About NICE

NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NICE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions.

Known as an innovation powerhouse that excels in AI, cloud and digital, NICE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries.

NICE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.


Top Skills

Python
The Company
HQ: Hoboken, NJ
10,130 Employees
On-site Workplace
Year Founded: 1986

What We Do

NICE (Nasdaq: NICE) is the worldwide leading provider of both cloud and on-premises enterprise software solutions that empower organizations to make smarter decisions based on advanced analytics of structured and unstructured data. NICE helps organizations of all sizes deliver better customer service, ensure compliance, combat fraud and safeguard citizens. Over 25,000 organizations in more than 150 countries, including over 85 of the Fortune 100 companies, are using NICE solutions. www.nice.com.

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