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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Engineer - Future Tech Initiative

Nexus Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

We are looking for a visionary Senior AI Engineer to join Nexus Systems and lead our cutting-edge research division. As we accelerate towards the 2026 technology roadmap, you will be at the forefront of developing scalable, ethical, and high-performance artificial intelligence solutions. This is an opportunity to shape the future of machine learning in a dynamic, high-growth environment.

Why Join Us?

  • Work with state-of-the-art hardware and cloud infrastructure.
  • Competitive compensation and equity package.
  • Flexible remote and hybrid work options.
  • Professional development and continuous learning budget.

Key Responsibilities:

Responsibilities

  • Design, develop, and deploy advanced machine learning models and algorithms tailored for large-scale production environments.
  • Collaborate with cross-functional teams of data scientists, engineers, and product managers to translate business requirements into technical solutions.
  • Optimize existing models for latency, throughput, and accuracy to ensure seamless user experiences.
  • Conduct rigorous A/B testing and model validation to ensure reliability and fairness in AI outputs.
  • Stay abreast of the latest research in AI/ML and implement innovative techniques to maintain our competitive edge.

Qualifications

  • Master’s or PhD in Computer Science, Mathematics, Statistics, or a related field.
  • Minimum of 5 years of professional experience in software engineering and machine learning.
  • Strong proficiency in Python, PyTorch, TensorFlow, or JAX.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Deep understanding of NLP, Computer Vision, or Reinforcement Learning is a plus.

Required Skills

Python TensorFlow PyTorch Machine Learning NLP Computer Vision AWS Docker Kubernetes San Francisco Remote

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