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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Engineer

2026
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
22 Mei 2026
Deadline
22 Mei 2027

Job Description

We are seeking a visionary Senior AI Engineer to join 2026, a leading pioneer in next-generation artificial intelligence. At 2026, we are not just predicting the future; we are architecting it. You will be at the forefront of developing scalable, efficient, and ethical AI models that define the next decade of technology.

Our culture is built on innovation, speed, and impact. If you are passionate about pushing the boundaries of machine learning and want to work on projects that matter, we want to meet you.

Key Highlights:

  • Work with state-of-the-art infrastructure and cutting-edge research.
  • Competitive salary, equity, and comprehensive benefits package.
  • Collaborative environment with top-tier engineering talent.

Responsibilities

  • Design, train, and deploy robust machine learning models and deep learning architectures.
  • Optimize existing algorithms for high performance and scalability in production environments.
  • Collaborate with data scientists and product managers to translate business requirements into technical solutions.
  • Conduct rigorous testing, validation, and monitoring of AI models to ensure accuracy and reliability.
  • Stay abreast of the latest research trends in NLP, Computer Vision, or Reinforcement Learning to drive innovation.
  • Mentor junior engineers and contribute to the technical roadmap of the engineering department.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, Statistics, or a related technical field.
  • 5+ years of professional experience in machine learning engineering or data science roles.
  • Strong proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow.
  • Extensive experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker/Kubernetes).
  • Proven track record of deploying ML models to production and managing the full ML lifecycle.
  • Excellent problem-solving skills and the ability to work in a fast-paced, agile environment.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning AWS GCP Docker Kubernetes NLP Data Science MLOps

Ready to Take This Challenge?

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