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Senior AI/ML Engineer - 2026 Vision

NovaCore Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Join the Architects of Tomorrow.

NovaCore Systems is pioneering the technological landscape for 2026. We are seeking a visionary Senior AI/ML Engineer to architect scalable, generative AI solutions that redefine human-machine interaction. In this role, you won't just write code; you will define the future of intelligent systems.

Our mission is to bridge the gap between theoretical AI and practical application, ensuring our platforms are robust, ethical, and ready for the next decade of technological evolution.

Responsibilities

  • Architect and deploy state-of-the-art Large Language Models (LLMs) tailored for enterprise scalability and low-latency inference.
  • Lead the end-to-end machine learning lifecycle from data ingestion and cleaning to model training, validation, and production serving.
  • Collaborate with cross-functional teams (Product, Engineering, Data Science) to integrate AI capabilities into core product ecosystems.
  • Optimize neural network architectures for edge devices and cloud environments to maximize performance and efficiency.
  • Mentor junior engineers and establish best practices for ethical AI development and model interpretability.
  • Conduct cutting-edge research in Reinforcement Learning and Natural Language Processing to stay ahead of industry trends.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
  • 5+ years of professional experience with deep learning frameworks (PyTorch, TensorFlow, JAX) and production ML pipelines.
  • Proven track record of deploying production-grade ML models at scale with high accuracy and reliability.
  • Strong proficiency in Python, SQL, and cloud infrastructure (AWS, GCP, or Azure).
  • Experience with distributed computing systems and data warehousing solutions.
  • Familiarity with MLOps tools (Kubernetes, MLflow, Airflow) is highly desirable.

Required Skills

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

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