Staff Machine Learning Engineer, Fakespot

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Requirements:

• A bachelor’s degree in Statistics, Computer Science, related technical field, or equivalent practical experience.
• A minimum of 6 years of experience in a quantitative role, with ideally much of that as a machine learning engineer or a data scientist.
• Knowledge of and expertise in Natural Language Processing (NLP).
• Proficiency in a data query language (e.g., SQL) and a programming language (e.g., Python).
• Demonstrable experience with the full lifecycle of machine learning models - from development to deployment and monitoring.
• Being an excellent team player with a proven ability to work effectively in cross-functional teams.
• Ability to be self-directed after work is assigned and help less experienced team members get unblocked.

Responsibilities:

• Apply statistical and machine learning techniques to process and analyze unstructured textual data.
• Develop and finetune machine learning models for tasks such as entity recognition, classification, and text generation.
• Utilize pretrained language models (e.g., GPT, LLAMA) and adapt them for specific use cases.
• Optimize models for production usage, including considerations for scalability, latency, and resource.
• Monitor and refine deployed models for performance and efficiency, and conduct troubleshooting when necessary.
• Work closely with interdisciplinary teams to deliver high-quality features and solutions.
• Stay current with advancements in NLP research, methodologies, and best practices.
• Be consistently productive and operate with a high degree of autonomy.