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Senior AI/ML Engineer (2026 Vision)

Apex Innovations Inc.
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
24 Mei 2026
Deadline
24 Mei 2027

Job Description

We are seeking a visionary Senior AI/ML Engineer to architect the next generation of intelligent systems. At Apex Innovations, we are preparing for the 2026 landscape, focusing on transformative Generative AI and Autonomous Agent technologies. You will work at the intersection of data science and product development to solve complex, real-world problems.

Why Join Us?

  • Work on cutting-edge projects that define the future of technology.
  • Competitive compensation and equity packages.
  • Flexible remote-first culture with premium office amenities in SF.

Are you ready to build the AI of tomorrow? Apply today.

Responsibilities

  • Design, develop, and deploy scalable Machine Learning models, with a focus on LLMs and Generative AI architectures.
  • Collaborate with product managers and engineers to integrate AI solutions into core business workflows.
  • Optimize model inference pipelines and data pipelines for high-throughput real-time applications.
  • Conduct research on emerging AI paradigms relevant to the 2026 technological horizon.
  • Ensure the ethical use of AI, maintaining transparency and fairness in all models.
  • Mentor junior engineers and establish best practices for MLOps and model governance.

Qualifications

  • 5+ years of professional experience in Machine Learning, Deep Learning, or Applied AI.
  • Strong proficiency in Python, PyTorch, TensorFlow, or JAX.
  • Proven experience working with Large Language Models (LLMs), RAG, and Fine-tuning techniques.
  • Experience with cloud platforms (AWS, GCP) and containerization technologies (Docker, Kubernetes).
  • Deep understanding of statistical analysis and data mining techniques.
  • Master’s degree in Computer Science, Mathematics, or a related field (PhD preferred).

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning LLM Generative AI MLOps AWS Docker Kubernetes SQL Data Science

Ready to Take This Challenge?

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

Apply Now

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