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Senior AI Engineer (2026 Roadmap)

Apex Horizon Technologies
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Join the Architects of Tomorrow

We are Apex Horizon Technologies, a pioneering firm dedicated to defining the technological landscape of 2026 and beyond. We are looking for a visionary Senior AI Engineer to spearhead our research division. You will be responsible for designing the algorithms that will power autonomous systems and generative AI platforms in the coming years.

As a key member of our team, you will bridge the gap between theoretical machine learning research and scalable production engineering. If you are passionate about the future of AI and want to build the infrastructure that defines the next decade of technology, we want to hear from you.

Responsibilities

  • Architect the 2026 AI Roadmap: Lead the strategic design and implementation of next-generation machine learning models and AI architectures.
  • Model Optimization: Develop and optimize deep learning models for high-performance inference, focusing on speed and energy efficiency.
  • System Integration: Integrate AI solutions into complex software ecosystems, ensuring seamless interoperability with existing legacy systems.
  • Mentorship: Guide a team of junior engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Research & Development: Stay at the forefront of the industry by exploring cutting-edge technologies such as Transformer architectures and Federated Learning.
  • Performance Analysis: Conduct rigorous testing and analysis to ensure model robustness, accuracy, and scalability.

Qualifications

  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Experience: 5+ years of professional experience in AI/ML engineering, with a focus on Deep Learning.
  • Technical Skills: Proficiency in Python, PyTorch, TensorFlow, or JAX. Strong understanding of NLP and Computer Vision.
  • Infrastructure: Experience with cloud platforms (AWS, GCP) and containerization technologies (Docker, Kubernetes).
  • Leadership: Proven track record of leading technical projects and mentoring engineering teams.
  • Problem Solving: Exceptional ability to solve complex technical problems with innovative solutions.

Required Skills

Python Machine Learning Deep Learning TensorFlow PyTorch AWS Kubernetes Docker NLP Computer Vision Data Structures Algorithms

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