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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI/ML Engineer

2026 Innovations
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

We are 2026 Innovations, a forward-thinking technology firm pioneering the next generation of artificial intelligence. We are seeking a visionary Senior AI/ML Engineer to join our elite engineering team. In this role, you will architect scalable machine learning models and drive the development of cutting-edge generative AI solutions that will define the technological landscape of the coming decade.

Why Join Us?

At 2026 Innovations, we don't just predict the future; we build it. You will work with state-of-the-art infrastructure, collaborate with world-class researchers, and have the autonomy to experiment with the latest breakthroughs in Deep Learning. We offer a competitive salary, comprehensive benefits, and a culture that celebrates innovation and intellectual curiosity.

Responsibilities

  • Design, train, and deploy scalable machine learning models and deep neural networks using Python and modern frameworks.
  • Lead the end-to-end MLOps lifecycle, including data ingestion, feature engineering, model training, and continuous integration/deployment.
  • Collaborate with cross-functional teams of data scientists and software engineers to integrate AI models into production applications.
  • Research and implement novel algorithms to improve model accuracy, efficiency, and robustness.
  • Optimize existing models for latency, throughput, and resource consumption in cloud environments.
  • Document technical specifications, model architectures, and research findings to support knowledge sharing within the team.

Qualifications

  • Master’s or PhD in Computer Science, Mathematics, or a related field (or equivalent practical experience).
  • 5+ years of professional experience in machine learning, deep learning, or artificial intelligence engineering.
  • Proficiency in programming languages such as Python, C++, or Java.
  • Strong experience with ML frameworks (TensorFlow, PyTorch, JAX) and cloud platforms (AWS, GCP, Azure).
  • Deep understanding of statistical modeling, natural language processing (NLP), or computer vision.
  • Experience with distributed computing systems and big data technologies (Spark, Hadoop).

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning MLOps AWS GCP NLP Distributed Systems SQL

Ready to Take This Challenge?

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