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Senior AI Engineer - Project 2026 (San Francisco, CA)

Apex Innovations Inc.
San Francisco
Estimated Salary
USD 180.000 – USD 240.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

Are you ready to shape the future of technology? Apex Innovations Inc. is seeking a visionary Senior AI Engineer to join our elite team driving Project 2026—our flagship initiative to redefine autonomous intelligence.

In this role, you won't just maintain systems; you will architect the foundation for the next decade of innovation. We are looking for a technical leader who is passionate about deep learning, large language models, and scalable infrastructure. If you want to work on projects that matter and be at the forefront of the AI revolution, we want to hear from you.

Why Join Us?

  • Competitive salary and equity package.
  • Flexible remote and hybrid work options.
  • Top-tier healthcare and wellness benefits.
  • Access to cutting-edge hardware and research tools.

Responsibilities

  • Model Architecture: Design, train, and optimize state-of-the-art deep learning models tailored for complex, real-world scenarios.
  • Infrastructure: Build and maintain robust MLOps pipelines to ensure seamless deployment and scalability of AI models.
  • Research: Conduct cutting-edge research to explore new methodologies in neural networks and generative AI.
  • Collaboration: Partner with product managers and engineers to translate technical requirements into actionable software solutions.
  • Leadership: Mentor junior engineers and provide technical guidance to foster a culture of excellence and innovation.
  • Optimization: Continuously monitor model performance, latency, and accuracy to drive efficiency improvements.

Qualifications

  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • Experience: 5+ years of professional experience in AI/ML engineering, with at least 2 years in a senior leadership role.
  • Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and experience with large language models (LLMs).
  • Tools: Strong understanding of cloud platforms (AWS/GCP) and containerization (Docker/Kubernetes).
  • Problem Solving: Demonstrated ability to solve complex technical challenges and optimize system performance under tight deadlines.
  • Communication: Excellent verbal and written communication skills for cross-functional collaboration.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning MLOps AWS Kubernetes Docker GPT Neural Networks

Ready to Take This Challenge?

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

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