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Senior AI/ML Engineer - 2026 Vision

Apex Innovations
San Francisco
Estimated Salary
USD 160.000 – USD 230.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Are you ready to architect the future of intelligence? Apex Innovations is seeking a visionary Senior AI/ML Engineer to lead our 2026 roadmap. We are not just building models; we are defining the ethical and technical standards for the next generation of autonomous systems. If you thrive in a high-impact environment and want to push the boundaries of Generative AI, Large Language Models (LLMs), and predictive analytics, this is your moment.

Join a team of world-class engineers and researchers dedicated to solving the world's most complex problems through advanced technology.

Responsibilities

  • Lead Model Development: Spearhead the design and training of cutting-edge Machine Learning models focused on the 2026 landscape, including advanced NLP and computer vision applications.
  • Architect Scalable Pipelines: Build robust, high-throughput data pipelines and MLOps infrastructure to support production-grade AI deployment.
  • Strategic Roadmapping: Collaborate with product leaders to define the technical vision and strategy for AI integration over the next 2-3 years.
  • Optimization & Performance: Continuously monitor, optimize, and fine-tune models for accuracy, speed, and energy efficiency.
  • Research & Innovation: Stay ahead of the curve by researching emerging paradigms in AI, ensuring Apex remains a market leader.
  • Mentorship: Guide a team of junior data scientists and engineers, fostering a culture of excellence and continuous learning.

Qualifications

  • Education: Master’s or PhD in Computer Science, Mathematics, or a related field (or equivalent professional experience).
  • Technical Mastery: Deep proficiency in Python, PyTorch, TensorFlow, or JAX.
  • Experience: 5+ years of experience in building and deploying production-level machine learning systems.
  • AI Expertise: Strong understanding of Deep Learning architectures, transformers, and Reinforcement Learning.
  • Cloud Native: Proven experience with cloud platforms (AWS/GCP/Azure) and containerization technologies (Docker, Kubernetes).
  • Problem Solving: Exceptional ability to translate complex business problems into elegant technical solutions.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning NLP MLOps AWS Docker Kubernetes Generative AI Large Language Models

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