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SeniorFull-timePythonAWSMachine LearningData ScienceTensorFlowPyTorchGitAIMLNLP
Salary Range
$132,600 - $179,400 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for an AI Research Scientist to join our research team at NICE Ltd. This role involves conducting cutting-edge research and developing advanced speech recognition algorithms and models to enhance our enterprise-level analytics solutions.
Key Responsibilities
- →Conduct cutting-edge research and develop advanced speech recognition algorithms and models.
- →Build and fine-tune deep learning and machine learning models, with a focus on large language models.
- →Work closely with internal stakeholders to define model requirements and ensure alignment with business objectives.
- →Develop AI predictive models and perform data and model accuracy analyses.
- →Produce and present findings, technical concepts, and model recommendations to both technical and non-technical stakeholders.
- →Develop and maintain scripts/tools to automate both new model production and updates to existing model packages.
- →Stay abreast of the latest advancements in data science research and contribute to the development of our knowledge base.
- →Collaborate with developers to design automation and tool improvements for model building.
- →Maintain documentation of processes and projects across all supported languages and environments.
Requirements
- ✓Experience designing the internals of successful commercial speech recognition systems from vendors such as Microsoft, DeepGram, Meta, AssemblyAI, OpenAI, etc.
- ✓Minimum of 5 years of machine learning work experience with at least 3 years working with deep learning models using real-life data.
- ✓Advanced degree(s) in a STEM field such as Computer Science, Mathematics, Engineering, or equivalent practical experience.
- ✓Excellent proficiency in Python programming and familiarity with deep learning libraries (e.g., PyTorch, TensorFlow).
- ✓Experience turning inference from research level to enterprise production level.
- ✓Advanced knowledge of statistical techniques and concepts (e.g., regression, statistical tests).
- ✓Experience with building and/or fine-tuning large language models and traditional machine learning models.
- ✓Strong research skills with a proven track record of developing and implementing NLP algorithms.
- ✓Excellent verbal and written communication skills, including the ability to present complex concepts to technical and non-technical stakeholders.
- ✓Experience with relational databases and query languages (e.g., SQL).
- ✓Familiarity with version control (e.g., Git) and project management tools (e.g., Jira, Confluence).
