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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Engineer at 2026 Labs

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

Job Description

We are looking for a visionary Senior AI Engineer to join the elite team at 2026 Labs. As a pioneer in the 2026 niche, we are building next-generation artificial intelligence systems that redefine human-computer interaction. You will not just write code; you will architect the neural foundations of the future.

Role Overview:
In this high-impact role, you will lead the development of scalable machine learning models, optimize complex algorithms, and drive the integration of AI solutions into our core products. We value deep technical expertise, creative problem-solving, and a passion for pushing the boundaries of what is possible in technology.

Why Join 2026 Labs?

  • Competitive base salary and equity package.
  • Top-tier health, dental, and vision coverage.
  • Unlimited PTO and flexible remote work options.
  • Access to cutting-edge compute resources and proprietary datasets.

Responsibilities

  • Design, train, and deploy state-of-the-art machine learning models using Python and deep learning frameworks.
  • Collaborate with cross-functional teams (Product, Engineering, Design) to integrate AI solutions into production environments.
  • Optimize existing algorithms for speed, scalability, and cost-efficiency.
  • Conduct research on the latest advancements in Natural Language Processing (NLP) and Computer Vision.
  • Establish and enforce best practices for data science, MLOps, and code quality.
  • Mentor junior engineers and foster a culture of continuous learning and innovation.

Qualifications

  • PhD or Master's degree in Computer Science, Mathematics, Statistics, or a related technical field.
  • 5+ years of professional experience in AI/ML engineering or data science.
  • Strong proficiency in Python, PyTorch, TensorFlow, or JAX.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Deep understanding of MLOps, data pipeline management, and model versioning.
  • Excellent communication skills with the ability to translate technical concepts to non-technical stakeholders.

Required Skills

Python Machine Learning Deep Learning PyTorch TensorFlow AWS GCP MLOps Data Science Natural Language Processing Computer Vision San Francisco

Ready to Take This Challenge?

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