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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI/ML Engineer (2026 Focus)

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

Are you ready to architect the intelligence of tomorrow? Nexus Future Labs is seeking a visionary Senior AI/ML Engineer to lead our research and development initiatives targeting the 2026 technology landscape. We are building the next generation of autonomous agents, neural interfaces, and generative AI systems that will redefine human-computer interaction.

In this role, you won't just be maintaining existing models; you will be pioneering novel architectures that push the boundaries of Deep Learning and Natural Language Processing (NLP). If you are passionate about the future of AI and thrive in a fast-paced, high-impact environment, we want to meet you.

Responsibilities

  • Lead the design, training, and fine-tuning of Large Language Models (LLMs) and multimodal architectures.
  • Develop and optimize scalable MLOps pipelines using Kubernetes, Docker, and cloud infrastructure (AWS/GCP).
  • Implement cutting-edge techniques in Retrieval-Augmented Generation (RAG) and Reinforcement Learning from Human Feedback (RLHF).
  • Collaborate with cross-functional teams of data scientists, engineers, and product managers to deploy AI solutions.
  • Conduct research to stay ahead of industry trends and evaluate new frameworks for 2026 readiness.
  • Ensure model performance, security, and ethical AI compliance in all deployments.

Qualifications

  • Master’s degree or PhD in Computer Science, Machine Learning, or a related quantitative field.
  • 5+ years of professional experience in AI/ML, with a strong focus on deep learning frameworks.
  • Expert proficiency in Python, PyTorch, TensorFlow, and C++.
  • Strong understanding of Transformer models, attention mechanisms, and vector databases.
  • Experience with distributed training, model serving, and productionizing ML models.
  • Excellent problem-solving skills and the ability to communicate complex technical concepts clearly.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP LLMs MLOps Docker Kubernetes AWS GCP

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