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Data Scientist - Intern (Fall 2024)

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C3 AI

Sep 24

Applications are closed

  • Internship
    Full-time
    Off-cycle Internship
  • Data
    Software Engineering
  • Redwood City

Requirements

  • Pursuing or completed MS or PhD in Computer Science, Electrical Engineering, Statistics, or equivalent fields.
  • Applied Machine Learning experience (regression and classification, supervised, self-supervised, and unsupervised learning).
  • Strong mathematical background (linear algebra, calculus, probability, and statistics).
  • Proficiency in Python and objected-oriented programming, e.g. JavaScript.
  • Familiarity with key Python packages for data wrangling, machine learning, and deep learning such as pandas, sklearn, tensorflow, torch, langchain, etc.
  • Ability to drive a project and work both independently and in a cross-functional team.
  • Smart, motivated, can-do attitude, and seeks to make a difference in a fast-paced environment.
  • Excellent verbal and written communication.
  • Experience with scalable ML (MapReduce, Spark).
  • Experience in Generative AI, e.g., Large Language Models (LLMs), embedding models, prompt engineering, and fine-tuning.
  • Experience with reinforcement learning.
  • A portfolio of projects (GitHub, papers, etc.).

Responsibilities

  • Designing and deploying Machine Learning algorithms for industrial applications such as predictive maintenance, demand forecasting and process optimization.
  • Collaborating with data and subject matter experts from C3 AI and its customer teams to seek, understand, validate, interpret, and correctly use new data elements.
  • Driving adoption and scalability of Generative AI and Deep Learning systems within C3 AI's products.

FAQs

What is the duration of the internship?

The internship is for the Fall 2024 semester.

What kind of projects will I be working on as a Data Scientist Intern?

You will be involved in designing and deploying machine learning algorithms for various industrial applications such as predictive maintenance, demand forecasting, and process optimization.

Is prior experience required for this internship?

While prior experience in applied machine learning is preferred, candidates who are pursuing or have completed a relevant degree are encouraged to apply.

What programming languages and tools should I be familiar with?

Proficiency in Python is required, along with familiarity with object-oriented programming, especially in JavaScript. Experience with Python packages like pandas, sklearn, tensorflow, and torch is also beneficial.

Will I be working independently or as part of a team?

You will be working both independently on specific projects and collaboratively within a cross-functional team.

What kind of learning opportunities will be available during the internship?

Interns will collaborate directly with data scientists, software engineers, and subject matter experts, providing a rich learning environment focused on AI solutions and digital transformation.

Are there any preferred qualifications for this internship?

Yes, preferred qualifications include experience with scalable machine learning technologies, generative AI, reinforcement learning, and a portfolio of relevant projects such as GitHub repositories or research papers.

What amenities does the office provide for interns?

The office features a fully stocked kitchen, catered lunch, an on-site gym, recreational activities like table tennis and pool, and Friday evening social hours.

Is there a focus on diversity and inclusion at C3 AI?

Yes, C3 AI is committed to being an Equal Opportunity and Affirmative Action Employer and does not discriminate based on legally protected characteristics.

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C3 AI

This is Enterprise AI

Technology
Industry
1001-5000
Employees
2009
Founded Year

Mission & Purpose

C3 AI is the leading Enterprise AI software provider for accelerating digital transformation. Digital transformation is about leveraging big data and the internet of things to improve performance of assets and predict shortfalls before they happen — all through artificial intelligence and machine learning. Get ahead of supply chain delays before they affect your delivery deadlines. Predict maintenance needs to increase asset uptime, replacing or repairing parts before failure. Reduce energy costs and track sustainability goals in real time, improving building operations and reducing greenhouse gas emissions. Connect disparate health record systems to optimize patient visits and decrease waitlist time. At the core of all C3 AI products is a proprietary, model-driven AI architecture that dramatically enhances data science and application development. The C3 AI Platform allows customers to develop, deploy, and operate large-scale AI, predictive analytics, and IoT applications. And a broad portfolio of turnkey AI applications allows for even faster development and deployment, and C3 Generative AI, a suite of large AI transformer models for the enterprise. From reliability and readiness to supply chain optimization and energy management, C3 AI has deep industry expertise to get your enterprise started on its digital transformation.