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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Engineer - Shaping the Future (2026 Tech)

Apex Neural Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Are you ready to engineer the intelligence that powers the world in 2026 and beyond? Apex Neural Systems is seeking a visionary Senior AI Engineer to lead our next-generation machine learning initiatives. We are building the foundational models for the autonomous web, and we need a technical mastermind to ensure our architecture is scalable, ethical, and cutting-edge.

In this role, you won't just be writing code; you will be defining the roadmap for AI integration in the enterprise sector. You will work with a world-class team of data scientists and engineers to build systems that are smarter, faster, and more adaptive than anything currently on the market.

Why join us?

  • Work with state-of-the-art hardware and cloud infrastructure.
  • Competitive equity package and stock options.
  • Flexible remote-first culture with hubs in SF and NYC.

Responsibilities

  • Design, develop, and deploy scalable machine learning models and AI architectures using Python, PyTorch, and TensorFlow.
  • Optimize existing models for speed, accuracy, and resource efficiency to support high-volume production environments.
  • Collaborate with cross-functional teams of data scientists, product managers, and engineers to define technical requirements and roadmaps.
  • Implement robust MLOps pipelines to ensure continuous integration and delivery of machine learning models.
  • Stay abreast of the latest advancements in AI research, specifically in Large Language Models (LLMs) and generative AI.
  • Mentor junior engineers and provide technical leadership within the engineering department.

Qualifications

  • Master’s degree or Ph.D. in Computer Science, Mathematics, Statistics, or a related field (or equivalent practical experience).
  • Minimum of 5+ years of professional experience in machine learning engineering or data science.
  • Strong proficiency in Python and experience with deep learning frameworks (PyTorch or TensorFlow).
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
  • Proven track record of deploying end-to-end ML solutions in production.
  • Excellent problem-solving skills and the ability to work in a fast-paced, agile environment.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP Cloud Computing MLOps AWS Docker Kubernetes SQL

Ready to Take This Challenge?

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

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