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Senior Artificial Intelligence Engineer

NexusMind AI Systems
San Francisco
Salary Estimate
USD 180.000 – USD 240.000
Latest
Live Update
23 Mei 2026
Deadline
23 Mei 2027

Job Description

Are you ready to shape the future of machine intelligence? At NexusMind, we are building the next generation of autonomous reasoning engines. We are seeking a visionary Senior AI Engineer to join our core research and development team. You will have the opportunity to work at the intersection of deep learning and large-scale data architecture, solving complex problems that impact millions of users globally.

We foster a culture of radical transparency, rapid iteration, and technical excellence. If you are a high-performer who thrives in a fast-paced, mission-driven environment, we want to hear from you.

Responsibilities

  • Design, architect, and deploy scalable machine learning models into production environments.
  • Collaborate with cross-functional teams to integrate generative AI capabilities into our core platform.
  • Optimize neural network architectures for latency, throughput, and memory efficiency.
  • Conduct cutting-edge research to solve challenges in Natural Language Processing and Computer Vision.
  • Mentor junior engineers and lead technical code reviews to maintain high quality standards.
  • Analyze massive datasets to identify patterns, optimize training loops, and improve model performance.
  • Bridge the gap between experimental research prototypes and robust, customer-facing software.

Qualifications

  • Master's or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
  • 5+ years of professional experience in deep learning, machine learning, or data science.
  • Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow.
  • Deep understanding of LLM architectures, transformer models, and prompt engineering strategies.
  • Experience with cloud infrastructure (AWS/GCP) and containerization tools like Docker and Kubernetes.
  • Strong background in data structures, algorithms, and distributed systems.
  • Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.

Required Skills

Artificial Intelligence Deep Learning Python PyTorch TensorFlow LLM Kubernetes Cloud Computing Distributed Systems

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