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Senior AI/ML Research Engineer - Shaping the Future (2026 Vision)

Apex Horizon AI
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
28 Mei 2026
Deadline
28 Mei 2027

Job Description

We are Apex Horizon AI, a pioneering research organization at the forefront of next-generation intelligence. As we accelerate toward our 2026 roadmap, we are seeking a visionary Senior AI/ML Research Engineer to architect scalable solutions for Generative AI and Large Language Models. If you are passionate about pushing the boundaries of what is possible in artificial intelligence and want to work on projects that will define the future of human-computer interaction, we want to meet you.


Join a world-class team of data scientists, engineers, and strategists dedicated to ethical, high-impact AI development. You will have the autonomy to experiment with cutting-edge architectures and the resources to deploy solutions that impact millions.

Responsibilities

  • Architect Advanced Models: Design, develop, and fine-tune state-of-the-art machine learning models, focusing on Generative AI and Reinforcement Learning.
  • Research & Prototyping: Conduct in-depth research to identify novel algorithms and methodologies that improve model efficiency and accuracy.
  • Production Deployment: Translate theoretical research into robust, scalable production systems using modern MLOps pipelines.
  • Collaborative Innovation: Partner with cross-functional teams (product, engineering, ethics) to integrate AI solutions into real-world applications.
  • Technical Leadership: Mentor junior researchers and engineers, fostering a culture of technical excellence and continuous learning.
  • Performance Optimization: Continuously monitor, evaluate, and optimize model latency, throughput, and resource consumption.

Qualifications

  • Education: Ph.D. or Master’s degree in Computer Science, Mathematics, Statistics, or a related field with a focus on AI/ML.
  • Experience: 5+ years of professional experience in machine learning research or software engineering.
  • Technical Stack: Proficiency in Python, PyTorch, TensorFlow, and modern deep learning frameworks.
  • Language Model Knowledge: Strong understanding of NLP, Transformers, and Large Language Model architectures (e.g., GPT, BERT, LLaMA).
  • Problem Solving: Demonstrated ability to tackle complex, open-ended research problems and derive novel solutions.
  • Communication: Exceptional ability to communicate complex technical concepts to both technical and non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP Generative AI MLOps CUDA Linux SQL

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