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Senior AI Engineer - 2026 Labs

2026 Labs
San Francisco
Estimated Salary
USD 180.000 – USD 240.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Join the visionary team at 2026 Labs, a cutting-edge technology firm pioneering the next generation of artificial intelligence infrastructure. We are building the foundational models that will define the future of human-machine interaction. If you are a technical expert passionate about scalable systems, deep learning, and shaping the trajectory of technology in the 2026 era, we want to hear from you.

Why 2026 Labs?

  • Impact: Work on core infrastructure that powers next-gen AI applications.
  • Innovation: Collaborate with top-tier engineers and researchers in a fast-paced environment.
  • Equity: Competitive equity package reflecting our growth trajectory.

Our mission is to bridge the gap between theoretical AI potential and real-world industrial application by 2026. We are looking for a Senior AI Engineer to lead our research initiatives.

Responsibilities

  • Design, develop, and deploy advanced machine learning models tailored to the 2026 ecosystem.
  • Architect scalable data pipelines to handle petabyte-scale datasets in real-time.
  • Optimize neural network inference speeds for edge devices and cloud deployment.
  • Collaborate with cross-functional teams to integrate AI capabilities into product solutions.
  • Conduct rigorous code reviews and technical mentorship for junior engineers.
  • Stay abreast of the latest advancements in AI research to drive continuous improvement.

Qualifications

  • Master’s or PhD in Computer Science, Machine Learning, or a related quantitative field.
  • 7+ years of professional experience in AI/ML engineering, with a focus on deep learning.
  • Strong proficiency in Python, PyTorch, TensorFlow, and C++.
  • Extensive experience with distributed computing systems (e.g., Kubernetes, AWS, GCP).
  • Proven track record of deploying production-grade machine learning models.
  • Excellent problem-solving skills and ability to work in a high-velocity startup environment.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning Kubernetes AWS GCP SQL Natural Language Processing Distributed Systems

Ready to Take This Challenge?

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