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Senior AI/ML Engineer

Apex Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Are you a visionary engineer ready to shape the future of artificial intelligence? Apex Innovations is seeking a highly skilled Senior AI/ML Engineer to join our elite R&D division. We are building the technology stack for the next decade, and we need a master of algorithms to lead our initiatives in deep learning and generative AI.

In this role, you will not just write code; you will architect the intelligent systems that power our global platform. We offer a competitive compensation package, flexible remote-first work arrangements, and significant equity opportunities for top talent.

Why join us? You will work with state-of-the-art hardware, collaborate with industry thought leaders, and see your models impact millions of users worldwide.

Responsibilities

  • Design, train, and deploy scalable machine learning models and neural networks.
  • Collaborate closely with data scientists to translate research into production-ready code.
  • Optimize existing ML pipelines for speed, accuracy, and cost-efficiency.
  • Mentor junior engineers and conduct rigorous code reviews to maintain high standards.
  • Research emerging AI methodologies (e.g., LLMs, Computer Vision) and integrate them into our product suite.
  • Ensure data privacy, security, and compliance in all AI implementations.

Qualifications

  • Master’s degree or PhD in Computer Science, Mathematics, or a related technical field.
  • 5+ years of professional experience in Machine Learning, Deep Learning, or Artificial Intelligence.
  • Strong proficiency in Python, PyTorch, or TensorFlow.
  • Deep understanding of distributed systems, cloud computing (AWS/GCP), and containerization (Docker/Kubernetes).
  • Experience with MLOps tools and version control systems (Git).
  • Excellent problem-solving skills and a passion for pushing the boundaries of technology.

Required Skills

Python Machine Learning Deep Learning PyTorch TensorFlow AWS Docker Kubernetes MLOps NLP Computer Vision

Ready to Take This Challenge?

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