Home Job Details
A
Information Technology 🏒 Full Time ⭐️ Verified

Senior AI/ML Engineer (2026 Vision)

Apex Horizon Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Are you ready to define the future of intelligence? Join Apex Horizon Systems as we pioneer the technological landscape of 2026. We are seeking a visionary Senior AI/ML Engineer to lead our R&D division, focusing on the next generation of Artificial General Intelligence (AGI) and Generative AI applications.

In this role, you won't just be writing code; you will be architecting the digital infrastructure that will power industries for decades to come. We are looking for a leader who thrives on ambiguity and is passionate about pushing the boundaries of what is possible.

Why Join Us?

  • Future-Proof Role: Work on cutting-edge projects specifically scoped for the 2026 tech roadmap.
  • Competitive Package: Base salary up to $250k + Equity + Comprehensive Benefits.
  • Innovation Hub: Access to state-of-the-art compute clusters and proprietary datasets.

Responsibilities

  • Design, train, and deploy scalable Machine Learning models, specifically focusing on LLMs and Reinforcement Learning agents for the 2026 ecosystem.
  • Lead a high-performance team of data scientists and engineers to define the technical vision for future AI capabilities.
  • Optimize existing neural network architectures for edge computing and real-time inference.
  • Collaborate with product managers to translate complex technical concepts into user-centric AI features.
  • Establish best practices for data governance, model explainability, and AI ethics in our development lifecycle.
  • Conduct research and prototype emerging technologies (e.g., Quantum AI interfaces) to stay ahead of the curve.

Qualifications

  • Master’s or PhD in Computer Science, Mathematics, or a related technical field.
  • Minimum of 5 years of professional experience in AI/ML engineering, with at least 2 years in a senior leadership capacity.
  • Expert proficiency in Python, C++, and frameworks such as PyTorch, TensorFlow, or JAX.
  • Deep understanding of Deep Learning architectures, NLP, and Computer Vision.
  • Proven experience with MLOps tools (Kubernetes, Docker, MLflow) for production deployment.
  • Strong track record of shipping high-impact AI products to market.

Required Skills

Python Machine Learning Deep Learning NLP MLOps TensorFlow PyTorch AI Ethics Kubernetes Docker Reinforcement Learning Large Language Models (LLM)

Ready to Take This Challenge?

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

Apply Now

Related Jobs

Similar job recommendations for you

View All