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Senior AI/ML Engineer - Shaping the Future (2026)

Apex Innovations Inc.
San Francisco
Estimated Salary
USD 180.000 – USD 240.000
Live Update
13 Mei 2026
Deadline
13 Mei 2027

Job Description

We are on a mission to define the technological landscape of 2026 and beyond. Apex Innovations is seeking a visionary Senior AI/ML Engineer to join our elite research division. You will be responsible for architecting the next generation of generative AI systems, pushing the boundaries of what is possible with Large Language Models and autonomous agents. This is a high-impact role where your code will directly influence the future of enterprise automation.

Why Join Us?

  • Work with cutting-edge technology in a remote-first, high-performance environment.
  • Competitive equity package and comprehensive benefits.
  • Opportunity to mentor the next generation of AI talent.

Responsibilities

  • Design and implement scalable machine learning pipelines for large-scale data processing and model training.
  • Research and prototype novel deep learning architectures to advance the state-of-the-art in generative AI.
  • Optimize model inference speeds and reduce latency for real-time applications.
  • Collaborate closely with cross-functional teams of data scientists, software engineers, and product managers.
  • Mentor junior engineers and establish best practices for MLOps, model governance, and security.
  • Translate complex technical requirements into robust, production-ready software solutions.

Qualifications

  • Master’s degree or PhD in Computer Science, Mathematics, or a related quantitative field.
  • 5+ years of professional experience in machine learning, deep learning, or natural language processing.
  • Proficiency in Python and modern ML frameworks (PyTorch, TensorFlow, or JAX).
  • Strong understanding of NLP, Transformers, and Large Language Models (LLMs).
  • Experience deploying and serving models in cloud environments (AWS, GCP, or Azure).
  • Proven track record of improving model accuracy and performance in production.

Required Skills

Python PyTorch TensorFlow NLP Deep Learning LLMs MLOps AWS GCP Generative AI Machine Learning SQL

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