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Senior AI/ML Engineer - 2026 Vision

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

Job Description

Shape the Future of Intelligence in 2026.

Nexus Future Labs is at the forefront of the next technological revolution. We are looking for a visionary Senior AI/ML Engineer to architect the neural networks of tomorrow. In this role, you will not just write code; you will define the paradigms of machine learning that will power industries for the next decade. If you are passionate about pushing the boundaries of Generative AI, Large Language Models, and Autonomous Systems, this is your chance to lead from the front.

Why Join Us?

  • Work on cutting-edge projects that redefine human-computer interaction.
  • Competitive compensation package with equity options.
  • Flexible remote-first culture with a premium office in San Francisco.
  • Access to the latest hardware and cloud infrastructure.

Responsibilities

  • Design, train, and deploy advanced machine learning models, including LLMs and generative AI systems.
  • Optimize neural network architectures for scalability, efficiency, and low-latency inference.
  • Collaborate with cross-functional teams of data scientists, engineers, and product managers to translate research into production-ready applications.
  • Implement robust data pipelines to ensure high-quality training datasets for continuous model improvement.
  • Conduct research to stay ahead of industry trends, specifically focusing on 2026 technological roadmaps.
  • Mentor junior engineers and contribute to the technical roadmap of the AI department.

Qualifications

  • Master’s or PhD in Computer Science, Mathematics, Statistics, or a related field.
  • 5+ years of professional experience in Machine Learning, Deep Learning, or AI Engineering.
  • Strong proficiency in Python, PyTorch, or TensorFlow.
  • Experience with large-scale distributed training and cloud platforms (AWS, GCP, or Azure).
  • Proven track record of deploying models into production environments.
  • Deep understanding of NLP, Computer Vision, or Reinforcement Learning.
  • Excellent problem-solving skills and ability to work in a fast-paced, agile environment.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP Data Engineering AWS GCP Agile

Ready to Take This Challenge?

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