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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI/ML Engineer - Future Tech

Chronos Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
18 Mei 2026
Deadline
18 Mei 2027

Job Description

Are you ready to define the technology landscape of 2026 and beyond?

At Chronos Innovations, we are building the core infrastructure for the next generation of Artificial General Intelligence (AGI). We are looking for a visionary Senior AI/ML Engineer to join our elite team and help architect systems that are scalable, ethical, and transformative. If you want to work on projects that will define the future of humanity, this is your opportunity.

We are seeking a hybrid of a research scientist and a production engineer. You will be responsible for taking cutting-edge research concepts and turning them into robust, real-world applications that millions of users will interact with daily.

Responsibilities

  • Design, train, and deploy advanced Machine Learning and Deep Learning models using Python and modern frameworks.
  • Optimize inference pipelines and model architectures to ensure sub-millisecond latency for real-time AI agents.
  • Lead the end-to-end lifecycle of AI models, from data ingestion and preprocessing to model serving and monitoring.
  • Collaborate with cross-functional teams of researchers, product managers, and designers to define product roadmaps.
  • Implement best practices for MLOps, ensuring reproducibility, scalability, and automated testing.
  • Stay at the forefront of industry trends, specifically in Generative AI, Transformers, and Reinforcement Learning.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Mathematics, Statistics, or a related field (PhD preferred).
  • 5+ years of professional experience building and deploying ML models at scale.
  • Expert proficiency in Python, PyTorch, TensorFlow, or JAX.
  • Strong experience with Large Language Models (LLMs), Vector Databases, and RAG architectures.
  • Deep understanding of MLOps tools (Docker, Kubernetes, MLflow, Airflow, AWS SageMaker/GCP AI).
  • Experience with distributed computing frameworks (Ray, Dask) and GPU acceleration.
  • Excellent communication skills and a passion for solving complex problems.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning MLOps Kubernetes AWS GCP LLMs NLP AI Data Science

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