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Information Technology 🏒 Full Time ⭐️ Verified

AI/ML Engineer - Future Intelligence

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
31 Mei 2026
Deadline
31 Mei 2027

Job Description

Join Nexus Future Labs as we pioneer the next generation of artificial intelligence. We are seeking a visionary AI/ML Engineer to architect and deploy models that will define the technological landscape of 2026 and beyond. You will work in a high-performance environment pushing the boundaries of Generative AI, Computer Vision, and Large Language Models.

If you are passionate about building systems that think and want to shape the future of tech, we want to hear from you.

Responsibilities

  • Design and implement scalable machine learning pipelines for large-scale data processing and model training.
  • Research, fine-tune, and optimize state-of-the-art Large Language Models (LLMs) and generative architectures.
  • Collaborate with product and engineering teams to integrate AI solutions into production environments.
  • Optimize model inference latency and throughput for real-time, high-volume applications.
  • Contribute to the development of novel algorithms and publish technical research.
  • Mentor junior engineers and establish best practices for machine learning engineering.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Statistics, Mathematics, or a related field.
  • Deep expertise in Python, PyTorch, TensorFlow, or JAX.
  • Proven experience in Natural Language Processing (NLP), Computer Vision, or Reinforcement Learning.
  • Strong understanding of distributed systems, cloud infrastructure (AWS/GCP/Azure), and containerization (Docker/Kubernetes).
  • Excellent problem-solving skills and the ability to work in a fast-paced, agile startup environment.

Required Skills

Python Machine Learning Deep Learning NLP PyTorch TensorFlow AWS Kubernetes Docker Generative AI LLMs

Ready to Take This Challenge?

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