Home Job Details
N
Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Research Engineer - Project 2026

Nexus Horizon Systems
San Francisco
Estimated Salary
USD 165.000 – USD 230.000
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Are you ready to shape the future? Nexus Horizon Systems is seeking a visionary Senior AI Research Engineer to lead the development of our flagship initiative, Project 2026. As we approach the pivotal year of 2026, we are building the infrastructure that will define the next generation of autonomous intelligence. This is an opportunity to work at the bleeding edge of Generative AI, Large Language Models (LLMs), and scalable distributed systems.

Our mission is to bridge the gap between theoretical artificial general intelligence and practical, safe, and beneficial deployment. You will work alongside a world-class team of ethicists, engineers, and product strategists to ensure our systems are robust, explainable, and aligned with human values.

Why Join Us?

  • Work on problems that matter to the world in 2026 and beyond.
  • Competitive equity package and comprehensive benefits.
  • Flexible remote-first policy with hubs in San Francisco and Austin.

Responsibilities

  • Architect and implement scalable machine learning pipelines for Project 2026, focusing on high-throughput inference and low-latency training.
  • Lead research initiatives to improve model accuracy, reasoning capabilities, and safety parameters.
  • Collaborate with cross-functional teams to translate technical research into production-ready features.
  • Mentor junior engineers and data scientists, fostering a culture of innovation and continuous learning.
  • Conduct rigorous testing and validation of AI models to ensure compliance with industry standards and ethical guidelines.

Qualifications

  • Master’s or PhD in Computer Science, Mathematics, or a related field with a focus on AI/ML.
  • 5+ years of professional experience in machine learning engineering or research.
  • Deep proficiency in Python, PyTorch, and TensorFlow.
  • Strong understanding of distributed systems, cloud computing (AWS/GCP), and MLOps practices.
  • Experience with Large Language Models (LLMs), fine-tuning, and RAG (Retrieval-Augmented Generation).

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning LLMs MLOps AWS Distributed Systems

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

Apply Now

Related Jobs

Similar job recommendations for you

View All