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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI & Machine Learning Engineer

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

We are seeking a visionary Senior AI & Machine Learning Engineer to join Nexus Future Labs. As we pioneer the next generation of artificial intelligence for 2026, you will lead the development of scalable Generative AI systems and robust data infrastructure. This is a rare opportunity to define the technical roadmap for products that will revolutionize the industry.

Why Join Us?

Our culture is built on innovation, autonomy, and impact. We offer a competitive salary, equity packages, comprehensive health benefits, and a fully remote-first environment.

Responsibilities

  • Design, train, and deploy state-of-the-art machine learning models with a focus on Natural Language Processing (NLP) and Large Language Models (LLMs).
  • Architect high-performance data pipelines capable of processing petabytes of real-time data.
  • Collaborate with cross-functional teams to integrate AI solutions into core product offerings.
  • Research and implement cutting-edge deep learning architectures to improve model accuracy and efficiency.
  • Mentor junior engineers and conduct rigorous code reviews to uphold engineering excellence.
  • Optimize model inference speeds and ensure system reliability in production environments.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Statistics, or a related quantitative field.
  • 5+ years of professional experience in Machine Learning, AI, or Data Science.
  • Expert proficiency in Python, PyTorch, and TensorFlow.
  • Deep understanding of NLP, Computer Vision, or Reinforcement Learning.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Strong problem-solving skills and the ability to thrive in a fast-paced, agile environment.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP Data Engineering AWS GCP Kubernetes Docker

Ready to Take This Challenge?

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

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