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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Engineer

2026 Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
9 Juli 2026
Deadline
9 Jul 2027

Job Description

Are you ready to shape the future? 2026 Systems is looking for a visionary Senior AI Engineer to lead our next-generation predictive algorithms and autonomous systems. We are a cutting-edge technology firm dedicated to solving the most complex challenges of the modern era using advanced artificial intelligence.

As a key member of our engineering team, you will be responsible for architecting robust machine learning pipelines and deploying state-of-the-art models that drive our core business products. If you are passionate about pushing the boundaries of what is possible with Deep Learning and possess a track record of excellence, we want to hear from you.

Key Highlights:

  • Work on revolutionary AI technologies with a competitive equity package.
  • Flexible remote-first work culture with a hub in downtown San Francisco.
  • Access to top-tier hardware and cloud resources for experimentation.

Responsibilities

  • Design, train, and deploy scalable machine learning models to production environments using Python and modern frameworks.
  • Lead research initiatives into novel AI architectures, including NLP and Computer Vision applications.
  • Optimize existing algorithms for high performance, scalability, and low latency.
  • Mentor junior engineers and data scientists, fostering a culture of technical excellence and innovation.
  • Collaborate closely with product managers and stakeholders to translate business requirements into technical solutions.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, or a related technical field.
  • 5+ years of professional experience in AI/ML engineering, with at least 2 years in a senior or lead capacity.
  • Proficiency in Python, PyTorch, TensorFlow, or JAX.
  • Deep understanding of Natural Language Processing (NLP) and Large Language Models (LLMs).
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).

Required Skills

Python PyTorch TensorFlow NLP Machine Learning MLOps AWS Data Science AI Deep Learning

Ready to Take This Challenge?

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