FAQs
Do we support remote work?
Yes, we support work in a hybrid format, requiring employees to work from the assigned Pfizer office 2-3 days per week or as needed by the business.
What is the employment eligibility requirement for this position?
This position requires permanent work authorization in the United States.
What type of candidates are we looking for?
We are looking for candidates with strong experience in AI/ML, specifically in evaluating, developing, and supporting various machine learning models and NLP data pipelines, ideally with a background in healthcare.
What kind of qualifications do I need to apply?
Candidates should have a degree in Data Science, Computer Science, Informatics, life sciences, physics, applied mathematics, statistics or a related field, along with 5 years of experience in data science, machine learning, or NLP engineering.
Is there a focus on specific technologies for this role?
Yes, candidates should have deep hands-on experience with LLMs, GenAI concepts, NLP libraries like Spacy, PyTorch, as well as expertise in supervised and unsupervised machine learning techniques.
What are the working hours for this role?
Flexibility is needed to work across different time zones, including Asia, Europe, and the US, which may require working early or late to support project deliverables and stakeholders.
Are there benefits associated with this position?
Yes, this position offers a comprehensive package of benefits which include health coverage, paid vacation, and participation in Pfizer's Global Performance Plan, among others.
Is there a salary range for this role?
Yes, the annual base salary for this position ranges from $93,500.00 to $155,900.00, based on the Tampa, FL location.
Will graduate interns or contingent workers be managed in this role?
Yes, there will be managerial responsibilities for rotational colleagues, interns, and contingent workers.
What is the application deadline for this position?
The last day to apply is November 4, 2024.