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Information Technology 🏢 Full Time ⭐️ Verified

2026 Graduate Software Engineer - AI & Machine Learning

FutureTech Innovations
San Francisco
Estimated Salary
USD 120.000 – USD 150.000
New
Live Update
2 Juni 2026
Deadline
2 Jun 2027

Job Description

Are you ready to shape the future? Our 2026 Graduate Software Engineer Program is designed for ambitious students graduating in 2026 who are passionate about Artificial Intelligence and Machine Learning. Join our elite team in San Francisco to build next-generation solutions.

We offer a dynamic, high-growth environment where you will be mentored by industry leaders, work on impactful projects from day one, and accelerate your career in tech. If you are driven by innovation and want to leave your mark on the tech landscape, this is the opportunity for you.

Responsibilities

  • Design, develop, and deploy scalable AI-driven applications.
  • Collaborate with cross-functional teams to define, design, and ship new features.
  • Write clean, maintainable, and efficient code using modern software engineering practices.
  • Participate in code reviews and contribute to a culture of engineering excellence.
  • Conduct research and prototyping using the latest LLMs and machine learning frameworks.
  • Identify and resolve performance bottlenecks and bugs in our core systems.

Qualifications

  • Currently enrolled in a Bachelor's or Master's degree program in Computer Science, Engineering, or a related field, with an expected graduation date in Spring/Summer 2026.
  • Strong proficiency in at least one programming language (Python, Java, C++, or Go).
  • Fundamental understanding of machine learning concepts and frameworks (TensorFlow, PyTorch).
  • Familiarity with cloud platforms such as AWS, Google Cloud, or Azure.
  • Excellent problem-solving skills and a passion for learning new technologies.
  • Ability to work effectively in a fast-paced, collaborative team environment.
  • Authorized to work in the United States.

Required Skills

Python TensorFlow PyTorch LLMs AWS Kubernetes Problem Solving System Design

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