The ideal candidate will apply machine learning, deep learning, and generative AI approaches to support the development of advanced technologies for use in farm settings. This role will emphasize integrating natural language processing and chatbot functionality to improve the accessibility and usability of data insights for end users. The internship will also involve building end-to-end solutions that link front-end interfaces with back-end data systems.
Internship Job Duties:
Gain familiarity with Zoetis Precision Animal Health data collection and recording systems, with a focus on integrating chatbot and NLP technologies.
Contribute to research and development efforts in machine learning, deep learning, and generative AI for product enhancement.
Develop and deploy NLP models to support natural language understanding and generation, enabling improved interactions through chatbots and other interfaces.
Collaborate on building front-end and back-end connectivity to ensure smooth data flow and user interface integration.
Analyze and manage disparate data sources, and clearly communicate technical results and methods.
Interact cross-functionally with internal and external teams to align technical solutions with user needs.
Internship Qualifications:
Education:
Currently enrolled in a graduate degree program in a quantitative or technical discipline (e.g., computer science, data science, engineering, statistics, statistical genetics, industrial engineering, computational biology, applied mathematics, applied physics, or similar).
Technical Skills:
Experience developing, training, and deploying machine learning and deep learning models using public libraries (e.g., TensorFlow, Keras, Sklearn, PyTorch) in Python.
Familiarity with natural language processing (NLP) techniques and models, particularly for applications in chatbot and language generation technologies (e.g., Transformer-based models like BERT, GPT).
Knowledge of generative AI approaches and experience in implementing and fine-tuning generative models (GANs, VAEs, etc.) is a plus.
Proficiency in using APIs for model deployment, including working with tools like the OpenAI GPT API or similar frameworks for integrating NLP capabilities into applications.
Proficiency in front-end and back-end integration, with a working understanding of connecting models with user interfaces and databases to enable end-to-end solutions.
General Skills:
A background in animal agriculture is desired but not essential.
Ability to work independently and collaboratively as part of a team.
Strong communication skills, including the ability to present complex technical methods and results clearly to non-technical audiences.
Demonstrated problem-solving, analytical, and organizational skills.
Additional Requirements:
At least 18 years of age and authorized to work in the U.S.
Must be enrolled in a degree program during the Spring term preceding the internship.
Successfully pass a background check and drug screen.
The following hourly pay rates reflect the anticipated base pay for this position:
If the selected candidate is a student pursuing an Associate-level degree: $16.00 per hour
If the selected candidate is a student pursuing an Undergraduate-level degree: $20.00 per hour
If the selected candidate is a student pursing a Graduate-level degree: $32.50 per hour
If the selected candidate is a student pursuing a Doctorate-level degree: $36.00 per hour
The following hourly pay rates reflect the anticipated base pay for this position if a selected candidate were to be located in California, Connecticut, District of Columbia, Illinois (Chicago area), Massachusetts, New Jersey, New York, Washington (Seattle area):
Student pursuing an Associate-level degree: $17.00 per hour
Student pursuing an Undergraduate-level degree: $22.00 per hour
Student pursing a Graduate-level degree: $36.40 per hour
Student pursuing a Doctorate-level degree: $40.30 per hour
Full time
Intern (Trainee)
Colleague
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