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Senior AI/ML Engineer - Shaping the Future of 2026

Nexus Horizon
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
24 Mei 2026
Deadline
24 Mei 2027

Job Description

Are you ready to define the landscape of Artificial Intelligence for the year 2026 and beyond?

Nexus Horizon is seeking a visionary Senior AI Engineer to join our elite team in San Francisco. We are building the next generation of generative AI systems, focusing on scalability, ethical AI, and real-time inference. If you are passionate about the cutting edge of technology and want to drive the industry forward, we want to meet you.

Why Join Us?

  • Work on mission-critical projects that redefine human-computer interaction.
  • Competitive compensation package and equity options.
  • Flexible remote-first policy with a co-working hub in SF.
  • Access to the latest hardware and cloud infrastructure.

Responsibilities

  • Design, develop, and deploy scalable machine learning models and neural networks.
  • Lead the architecture for generative AI pipelines, optimizing for latency and throughput.
  • Collaborate with cross-functional teams to integrate AI capabilities into consumer products.
  • Conduct research to explore new architectures and algorithms relevant to the 2026 tech landscape.
  • Mentor junior engineers and conduct code reviews to maintain high technical standards.
  • Ensure model robustness, fairness, and interpretability in production environments.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, or a related technical field.
  • 5+ years of professional experience in Machine Learning, Deep Learning, or AI Engineering.
  • Expert proficiency in Python, PyTorch, or TensorFlow.
  • Strong understanding of Large Language Models (LLMs) and fine-tuning methodologies.
  • Experience with MLOps tools (Kubeflow, MLflow, Docker, Kubernetes).
  • Excellent problem-solving skills and the ability to thrive in a fast-paced, agile environment.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning MLOps LLM Generative AI Kubernetes Docker

Ready to Take This Challenge?

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

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