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Artificial Intelligence 🏒 Full Time ⭐️ Verified

Senior AI Engineer - Project 2026

Quantum Horizon Labs
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
5 Juli 2026
Deadline
5 Jul 2027

Job Description

We are seeking a visionary Senior AI Engineer to join our elite Project 2026 team. As we push the boundaries of artificial intelligence, you will be at the forefront of designing neural architectures that solve complex, unsolved problems. If you are passionate about the future of technology and want to leave a lasting impact on the industry, this is your opportunity.

Why Join Project 2026?

  • Next-Gen Technology: Work with cutting-edge Large Language Models (LLMs) and generative AI.
  • Premium Compensation: Competitive salary and equity package.
  • Remote-First Culture: Flexible working arrangements in the heart of San Francisco.
  • Impactful Work: Your code will power the AI systems of tomorrow.

Responsibilities

  • Architect and deploy scalable machine learning pipelines for the Project 2026 initiative.
  • Research and implement novel algorithms to improve model accuracy and efficiency.
  • Optimize neural network inference for low-latency applications in real-time environments.
  • Mentor junior engineers and conduct code reviews to maintain high engineering standards.
  • Collaborate with product managers to translate business requirements into technical AI solutions.
  • Stay abreast of the latest AI research papers and integrate advancements into our stack.
  • Debug complex issues in distributed training clusters and GPU infrastructure.

Qualifications

  • Master’s or Ph.D. in Computer Science, Machine Learning, or a related technical field.
  • Minimum of 5 years of professional experience in AI/ML engineering or data science.
  • Strong proficiency in Python and deep learning frameworks (PyTorch, TensorFlow, or JAX).
  • Extensive experience with transformer architectures and Natural Language Processing (NLP).
  • Proven track record of deploying production-grade ML models at scale.
  • Excellent communication skills and the ability to explain complex technical concepts to non-technical stakeholders.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).

Required Skills

Python Machine Learning Deep Learning PyTorch TensorFlow NLP AI Architecture Cloud Computing Docker Kubernetes AWS GCP

Ready to Take This Challenge?

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