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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Research Engineer

Nexus Horizon
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

We are seeking a visionary Senior AI Research Engineer to lead our cutting-edge initiatives in artificial general intelligence. As we redefine the technological landscape for 2026, you will be at the forefront of developing next-generation neural networks and scalable machine learning architectures.

Our Mission: To build intelligent systems that seamlessly integrate into the fabric of daily life, enhancing human potential through advanced AI.

What You'll Do:

In this role, you will bridge the gap between theoretical research and practical application. You will drive the development of proprietary algorithms that power our core products and set industry standards.

Responsibilities

  • Lead the research and development of advanced AI models and algorithms targeting 2026 technological standards.
  • Design and implement scalable machine learning pipelines with a focus on efficiency and accuracy.
  • Collaborate closely with product and engineering teams to translate theoretical research into deployable, production-grade solutions.
  • Conduct rigorous testing, validation, and optimization of model performance in real-world environments.
  • Mentor junior researchers and engineers, fostering a culture of innovation and technical excellence.
  • Stay abreast of the latest advancements in AI, NLP, and Computer Vision to ensure our technology remains ahead of the curve.

Qualifications

  • PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
  • 10+ years of professional experience in machine learning and deep learning engineering.
  • Expert proficiency in Python, PyTorch, TensorFlow, and Hugging Face.
  • Strong understanding of Natural Language Processing (NLP) and Large Language Models (LLMs).
  • Proven track record of publishing research in top-tier conferences (NeurIPS, ICML, ACL).
  • Experience with cloud platforms (AWS, GCP) and big data technologies (Spark, Kafka).

Required Skills

Python PyTorch TensorFlow NLP Machine Learning Deep Learning AI Research Cloud Computing AWS GCP

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