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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Solutions Engineer

2026 Technologies
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

We are 2026 Technologies, a pioneering force in the realm of next-generation artificial intelligence. We are building the neural frameworks that will define the era of 2026 and beyond. If you are a visionary engineer who thrives on solving complex problems and pushing the boundaries of what is possible in machine learning, we want to hear from you.

As a Senior AI Solutions Engineer, you will be at the epicenter of our R&D efforts, bridging the gap between theoretical AI models and scalable, production-ready infrastructure. You will work alongside world-class researchers and developers to deploy autonomous systems that are secure, efficient, and transformative.

Why Join 2026?

  • Work on mission-critical AI infrastructure that impacts millions.
  • Competitive compensation package with equity options.
  • Flexible remote-first culture with a San Francisco HQ.

Responsibilities

  • Architect and implement scalable machine learning pipelines and deep learning models using Python and TensorFlow/PyTorch.
  • Optimize existing models for inference speed and reduce latency in real-time applications.
  • Collaborate with cross-functional teams (Data Science, Product, DevOps) to integrate AI solutions into core products.
  • Mentor junior engineers and conduct code reviews to maintain high technical standards.
  • Research and evaluate new algorithms and hardware accelerators (e.g., GPU, TPU) to drive performance improvements.
  • Ensure data privacy, security, and ethical AI compliance across all deployed models.

Qualifications

  • Master’s or PhD degree in Computer Science, Mathematics, or a related technical field.
  • Minimum of 5+ years of professional experience in Machine Learning Engineering or Data Science.
  • Proficiency in programming languages such as Python, Java, or C++.
  • Strong experience with deep learning frameworks (TensorFlow, PyTorch, Keras).
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Proven track record of deploying end-to-end ML solutions in production environments.
  • Excellent problem-solving skills and ability to work in a fast-paced, agile environment.

Required Skills

Python Machine Learning Deep Learning TensorFlow PyTorch AWS Docker Kubernetes SQL Agile

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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