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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI/ML Engineer - 2026 Vision

Nexus AI Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
7 Juli 2026
Deadline
7 Jul 2027

Job Description

Join Nexus AI Labs at the forefront of innovation as we build the intelligent systems that will redefine industries by 2026. We're seeking a visionary Senior AI/ML Engineer to architect and deploy cutting-edge solutions that leverage generative AI, predictive analytics, and autonomous systems. This role offers the unique opportunity to shape tomorrow's technology while working in a dynamic, collaborative environment with industry pioneers.

Our team operates at the intersection of research and real-world application, focusing on scalable AI solutions for healthcare, climate tech, and autonomous systems. You'll work with state-of-the-art infrastructure and contribute to projects that directly impact global challenges.

Responsibilities

  • Design and implement advanced ML pipelines for large-scale data processing and model deployment
  • Lead development of generative AI systems including LLM fine-tuning and multimodal architectures
  • Collaborate with cross-functional teams to integrate AI solutions into production environments
  • Research and prototype novel approaches to AI safety and ethical alignment
  • Optimize model performance for edge deployment and real-time inference
  • Mentor junior engineers and establish best practices for AI development lifecycle
  • Contribute to open-source initiatives and publish research in top-tier conferences

Qualifications

  • MS/PhD in Computer Science, AI, or related field with 5+ years industry experience
  • Expertise in Python, TensorFlow/PyTorch, and distributed ML frameworks
  • Proven track record deploying production-scale ML systems at cloud scale (AWS/GCP/Azure)
  • Strong foundation in NLP, computer vision, or reinforcement learning
  • Experience with MLOps tools (Kubernetes, MLflow, Kubeflow)
  • Published research or significant contributions to AI/ML open-source projects
  • Demonstrated ability to translate complex technical concepts for diverse stakeholders

Required Skills

Machine Learning Deep Learning Python TensorFlow PyTorch NLP Computer Vision MLOps Cloud Computing Generative AI

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