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Senior AI Engineer at 2026 Labs

2026 Labs
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

We are 2026 Labs, a cutting-edge think-tank and engineering firm dedicated to defining the technological landscape of the near future. We are not just predicting the next decade; we are architecting it. As a Senior AI Engineer, you will be at the forefront of developing autonomous systems and generative models that push the boundaries of what is possible.

Join us in San Francisco to solve complex problems, shape ethical AI frameworks, and build scalable infrastructure for the next generation of intelligent applications.

Responsibilities

  • Design, develop, and deploy state-of-the-art machine learning models and neural networks.
  • Lead the architecture of scalable AI systems capable of handling high-volume, real-time data streams.
  • Collaborate with cross-functional product teams to translate research concepts into production-ready solutions.
  • Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Ensure data privacy, security, and ethical compliance in all AI implementations.
  • Conduct rigorous A/B testing and model evaluation to optimize performance and accuracy.
  • Stay abreast of the latest advancements in Deep Learning, NLP, and Computer Vision.

Qualifications

  • Master’s or PhD degree in Computer Science, Artificial Intelligence, or a related quantitative field.
  • 5+ years of professional experience in building and deploying ML models in production environments.
  • Expert proficiency in Python, PyTorch, TensorFlow, or similar deep learning frameworks.
  • Strong experience with big data technologies (e.g., Spark, Kafka) and cloud platforms (AWS, GCP, Azure).
  • Proven track record in Natural Language Processing (NLP) or Computer Vision applications.
  • Excellent problem-solving skills and the ability to work in a fast-paced, agile environment.
  • Experience with MLOps tools and CI/CD pipelines for machine learning.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP Computer Vision AWS GCP Spark Kafka MLOps San Francisco

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