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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Research Engineer - 2026

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

Job Description

Are you ready to build the future? 2026 Innovations is seeking a visionary Senior AI Research Engineer to spearhead our next generation of artificial intelligence systems.

We are not just building software; we are architecting the intelligence of tomorrow. As a Senior AI Research Engineer at 2026, you will be at the forefront of developing scalable, robust, and ethical AI solutions that will define the industry standards for the next decade.

Join a team of world-class engineers and scientists dedicated to pushing the boundaries of what is possible with machine learning, deep learning, and generative AI.

Responsibilities

  • Lead the research and development of novel AI models and algorithms to solve complex business problems.
  • Collaborate closely with product and engineering teams to integrate AI solutions into production environments.
  • Conduct rigorous research, including literature reviews and experimental design, to stay ahead of industry trends.
  • Mentor junior engineers and researchers, fostering a culture of innovation, technical excellence, and continuous learning.
  • Optimize models for speed, accuracy, and resource efficiency in high-scale environments.
  • Communicate complex technical concepts to non-technical stakeholders effectively.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, Statistics, or a related technical field.
  • 5+ years of professional experience in AI/ML research or engineering, preferably in a startup or high-growth environment.
  • Deep proficiency in Python and deep learning frameworks (PyTorch, TensorFlow, or JAX).
  • Strong understanding of machine learning theory, statistical methods, and algorithm design.
  • Experience deploying models at scale on cloud platforms (AWS, GCP, or Azure).
  • Excellent problem-solving skills and the ability to work in a fast-paced, ambiguous environment.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP CUDA AWS Kubernetes Research Engineering

Ready to Take This Challenge?

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