Job Description
Are you ready to shape the trajectory of technology in 2026? FutureHorizons is seeking a visionary 2026 AI Research & Development Intern to join our elite team in San Francisco, CA. We are pioneers in next-generation artificial intelligence, and we are looking for exceptional talent to help build the systems of tomorrow. This is a unique opportunity to work on high-impact projects that will define the industry landscape for the coming decade.
Why Join Us?
- Work on state-of-the-art machine learning models.
- Collaborate with world-class engineers and researchers.
- Gain hands-on experience with cutting-edge technologies.
- Be part of a company driving innovation for the future.
We are committed to fostering a diverse and inclusive environment where creativity thrives. If you are passionate about AI and ready to make your mark in 2026, we want to hear from you.
Responsibilities
- Conduct in-depth research and development of advanced machine learning algorithms and neural networks.
- Design, implement, and test Python-based prototypes to solve complex engineering challenges.
- Analyze large-scale datasets to derive actionable insights and improve model accuracy.
- Collaborate with cross-functional teams, including data scientists and product managers, to define technical requirements.
- Document research findings, methodologies, and architectural decisions in technical reports.
- Participate in code reviews and contribute to the optimization of our existing codebase.
Qualifications
- Currently pursuing a Bachelor’s, Master’s, or PhD degree in Computer Science, Artificial Intelligence, or a related technical field.
- Strong proficiency in programming languages such as Python, C++, or Java.
- Familiarity with deep learning frameworks (TensorFlow, PyTorch, or Keras).
- Experience with data manipulation and visualization libraries (Pandas, NumPy, Matplotlib).
- Excellent problem-solving skills and the ability to work independently in a fast-paced environment.
- Demonstrated passion for AI research and a portfolio of relevant academic projects.