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Senior AI/ML Engineer - Future Tech (2026 Vision)

Apex Innovations
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Are you ready to shape the future of intelligence? Apex Innovations is seeking a visionary Senior AI/ML Engineer to join our cutting-edge team in San Francisco. As we prepare for the next generation of technological breakthroughs, we need an expert who can bridge the gap between theoretical research and real-world application.

In this role, you will be instrumental in developing the foundational models and infrastructure that will define our product roadmap for 2026 and beyond. You will work with a diverse team of data scientists, researchers, and engineers to build scalable, robust, and ethical AI systems.

Why join us?

  • Work on future-proof technology stacks.
  • Competitive equity package and benefits.
  • Flexible remote and hybrid work culture.

Responsibilities

  • Model Architecture: Design and implement advanced deep learning models, specifically focusing on LLMs, transformers, and reinforcement learning agents.
  • System Optimization: Optimize model inference latency and throughput to support real-time applications at scale.
  • Data Engineering: Lead the end-to-end data pipeline, ensuring high-quality training data for model accuracy.
  • Research Integration: Translate cutting-edge academic research into production-ready code and architectural patterns.
  • Mentorship: Guide junior engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Deployment: Manage CI/CD pipelines for machine learning models, ensuring reliability and scalability.

Qualifications

  • Education: Master’s or Ph.D. in Computer Science, Mathematics, or a related field.
  • Experience: 5+ years of professional experience in AI/ML engineering.
  • Programming: Proficiency in Python, PyTorch, or TensorFlow.
  • Infrastructure: Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Mathematical Maturity: Strong understanding of linear algebra, calculus, and probability theory.
  • Communication: Excellent ability to articulate complex technical concepts to non-technical stakeholders.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning NLP Cloud Computing AWS GCP Docker Kubernetes SQL

Ready to Take This Challenge?

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