PipeIQ is an early stage startup that leverages Generative AI to accelerate marketing and sales pipelines. We do this via an orchestration engine that leverages Large Language Models (LLMs) to build highly personalized chatbots and email bots, among others. Our founder has deep domain expertise in Marketing Automation and Martech, which is very relevant for the product we are building.

We are seeking a highly motivated and talented Machine Learning Engineer Intern with experience in Natural Language Processing (NLP) to join our team and contribute to the development of our AI-driven solutions. This is an unpaid internship.

Responsibilities

Work closely with our AI and engineering teams to develop, fine-tune, and deploy large-scale NLP models, such as GPT-4, ChatGPT, and Whisper
Conduct research and experimentation to improve the performance and efficiency of our NLP models and algorithms
Implement and integrate APIs for various NLP models into our autonomous agent system
Collaborate with the product team to understand requirements and develop AI-driven features for our B2B marketing use cases
Help design and maintain the data pipeline for training and evaluating NLP models
Stay up-to-date with the latest advancements in NLP and machine learning research, and suggest new approaches and techniques to enhance our AI-driven solutions Requirements:
Currently enrolled in or a recent graduate of a Bachelor's or Master's program in Computer Science, Machine Learning, Artificial Intelligence, or a related field
Strong background in NLP, with experience in techniques, algorithms, and state-of-the-art models
Hands-on experience with popular machine learning frameworks, such as TensorFlow, PyTorch, or Keras
Familiarity with GPT-4, ChatGPT, Whisper, and experience in fine-tuning and deploying large-scale language models
Proficient in Python programming and comfortable with using APIs to interact with AI models
Excellent problem-solving skills, strong attention to detail, and the ability to work independently as well as collaboratively within a team
Strong communication skills and the ability to effectively present ideas and findings to both technical and non-technical stakeholders
Experience with cloud platforms, such as AWS or Google Cloud, is a plus To Apply:

This is an unpaid internship. Please submit your resume, along with a brief cover letter explaining your interest in the role and any relevant experience. We thank all applicants for their interest; however, only those selected for an interview will be contacted. PipeIQ is an equal opportunity employer and welcomes applicants from diverse backgrounds.

PipeIQ

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Machine Learning Engineer Intern (NLP)