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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI/ML Research Engineer | Project 2026

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

Job Description

We are not just predicting the future; we are architecting it. Nexus Future Labs is seeking a visionary Senior AI/ML Research Engineer to spearhead Project 2026, a groundbreaking initiative designed to redefine the boundaries of artificial general intelligence by the target year of 2026. You will work on cutting-edge models, ethical AI frameworks, and scalable infrastructure that will power the next decade of human-machine interaction.


If you are passionate about pushing the envelope of what's possible and want to be at the forefront of technological evolution, we want to hear from you.

Responsibilities

  • Lead Research: Architect and train next-generation Large Language Models (LLMs) and multimodal systems focused on long-term trajectory prediction.
  • Infrastructure: Design high-performance inference pipelines optimized for edge devices and massive scale cloud deployment.
  • Cross-Functional Leadership: Collaborate with product, engineering, and ethics committees to integrate futuristic features into consumer products.
  • Mentorship: Guide a team of junior data scientists and researchers, fostering a culture of innovation and excellence.
  • Optimization: Reduce computational costs and latency while maximizing model accuracy and robustness.

Qualifications

  • Education: Ph.D. or Master's degree in Computer Science, Mathematics, Statistics, or a related technical field.
  • Experience: 5+ years of professional experience in machine learning, deep learning, or natural language processing.
  • Technical Stack: Proficiency in Python, PyTorch, TensorFlow, and experience with distributed training frameworks (Ray, Kubernetes).
  • Mathematical Foundation: Strong understanding of linear algebra, calculus, probability, and statistical modeling.
  • Project 2026 Fit: Demonstrated ability to work on long-term research projects with a focus on future-proofing technology stacks.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP CUDA Kubernetes Distributed Systems

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