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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI/ML Engineer - Vision 2026

Nexus Future Labs
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
New
Live Update
5 Juli 2026
Deadline
5 Jul 2027

Job Description

We are seeking a visionary Senior AI/ML Engineer to join our elite research division. As we prepare for the technological leap of 2026, we need a leader who can architect the next generation of autonomous systems and generative AI models.

In this role, you won't just be writing code; you will define the future of human-computer interaction. You will work alongside top-tier researchers to build scalable, ethical, and robust AI infrastructure that pushes the boundaries of what is possible.

Why join us?

  • Work on cutting-edge projects that will shape the 2026 landscape.
  • Competitive compensation package with equity options.
  • Flexible remote-first culture with state-of-the-art equipment.

Ready to build the future? Apply today.

Responsibilities

  • Architect and deploy scalable machine learning pipelines for large-scale data processing.
  • Research and implement novel algorithms to achieve breakthrough performance in generative models and reinforcement learning.
  • Collaborate with cross-functional teams to integrate AI capabilities into core product ecosystems.
  • Mentor junior engineers and researchers, fostering a culture of innovation and continuous learning.
  • Ensure model transparency, fairness, and ethical deployment in alignment with 2026 AI compliance standards.
  • Optimize existing models for production environments, focusing on latency and throughput.

Qualifications

  • Master’s or PhD in Computer Science, Machine Learning, or a related technical field.
  • 5+ years of professional experience in AI/ML engineering, with a focus on deep learning frameworks (PyTorch, TensorFlow, or JAX).
  • Proven experience in building and deploying LLMs (Large Language Models) or multimodal AI systems.
  • Strong proficiency in Python, SQL, and distributed systems (Kubernetes, Docker).
  • Experience with cloud platforms (AWS, GCP, or Azure) and MLOps best practices.
  • Excellent problem-solving skills and the ability to thrive in a fast-paced, high-stakes environment.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP LLM Kubernetes AWS MLOps Data Science

Ready to Take This Challenge?

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

Apply Now

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