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Senior AI/ML Engineer | Future Tech 2026 | San Francisco, CA

Apex Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 240.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

We are Apex Innovations, a forward-thinking tech powerhouse pioneering the next generation of Artificial Intelligence. As we prepare for the transformative landscape of 2026, we are seeking a visionary Senior AI/ML Engineer to lead our research and deployment initiatives.

In this role, you won't just maintain legacy systems; you will architect scalable, ethical, and revolutionary AI models that define the future of human-machine interaction. If you are passionate about the trajectory of AI and want to build the infrastructure for tomorrow, this is your opportunity to lead the charge.

Why Join Us?

  • Impact at Scale: Work on projects that redefine industry standards for 2026.
  • Future-Ready Stack: Access to cutting-edge GPUs, cloud infrastructure, and the latest open-source frameworks.
  • Visionary Culture: A collaborative environment focused on ethical AI, innovation, and rapid prototyping.

Responsibilities

  • Architect Next-Gen Models: Design and implement advanced Machine Learning and Deep Learning architectures specifically tailored for the 2026 AI ecosystem.
  • Model Optimization: Drive research into efficient inference and training pipelines, reducing latency and resource consumption.
  • Strategic Roadmapping: Collaborate with leadership to define the technical roadmap for Generative AI and LLM integration.
  • Ethical AI Oversight: Ensure all deployed models adhere to strict ethical guidelines and bias mitigation protocols.
  • Mentorship: Lead a team of junior engineers and data scientists, fostering a culture of continuous learning and technical excellence.

Qualifications

  • Education: Master’s or PhD in Computer Science, Mathematics, or a related field (PhD preferred).
  • Experience: 5+ years of professional experience in building production-grade AI/ML systems.
  • Tech Stack: Proficiency in Python, PyTorch, TensorFlow, and modern NLP frameworks.
  • Infrastructure: Strong understanding of MLOps, containerization (Docker/Kubernetes), and cloud platforms (AWS/GCP).
  • Innovation: Demonstrated track record of publishing research or shipping innovative AI products.

Required Skills

Python Machine Learning Deep Learning NLP PyTorch TensorFlow MLOps Kubernetes AWS Generative AI LLMs

Ready to Take This Challenge?

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