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Senior AI Research Engineer - Project 2026

OmniFuture Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Shape the Future with Project 2026

OmniFuture Labs is pioneering the next generation of artificial intelligence. We are looking for a visionary Senior AI Research Engineer to join our elite Project 2026 team. This is not just a job; it is a mission to redefine the boundaries of machine intelligence and create systems that learn, adapt, and evolve.

As a key player in our R&D division, you will work in a state-of-the-art environment, collaborating with top-tier talent to build the algorithms that will power the world of tomorrow. If you are passionate about solving complex problems and have a knack for innovation, we want to hear from you.

Responsibilities

  • Architect Development: Design and implement cutting-edge neural network architectures and deep learning models.
  • Research Leadership: Lead the research and development lifecycle for Project 2026, driving innovation from concept to prototype.
  • Model Optimization: Conduct rigorous testing, validation, and optimization to ensure models are scalable, efficient, and production-ready.
  • Collaboration: Work closely with cross-functional teams, including product managers, engineers, and data scientists, to translate research into real-world applications.
  • Mentorship: Mentor junior researchers and engineers, fostering a culture of technical excellence and continuous learning.
  • Publication: Author and publish high-impact research papers in leading AI conferences and journals.

Qualifications

  • Education: Master’s or PhD degree in Computer Science, Mathematics, Statistics, or a related field with a focus on AI/ML.
  • Experience: 5+ years of experience in machine learning research and software engineering.
  • Technical Skills: Deep expertise in Python, PyTorch, TensorFlow, or JAX. Familiarity with distributed computing frameworks (e.g., Ray, Kubernetes) is a plus.
  • Research Track Record: A proven track record of publishing in top-tier venues such as NeurIPS, ICML, ICLR, or CVPR.
  • Problem Solving: Demonstrated ability to tackle ambiguous problems and devise innovative, data-driven solutions.
  • Communication: Excellent verbal and written communication skills for technical presentations and documentation.

Required Skills

Python Machine Learning Deep Learning PyTorch TensorFlow Neural Networks Research AI Distributed Systems

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