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Artificial Intelligence 🏒 Full Time ⭐️ Verified

Senior AI/ML Engineer - Generative Intelligence

Apex Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

We are on a mission to define the intelligence layer of the web for 2026 and beyond. Apex Future Systems is looking for a visionary Senior AI/ML Engineer to lead the development of next-generation generative models. You will be at the forefront of integrating Large Language Models (LLMs) with real-time data streams to create autonomous agents capable of complex problem-solving.

Why Join Us?
We are backed by top-tier VC firms and are building the infrastructure that will power the next decade of digital interaction. Our culture prioritizes technical excellence, rapid iteration, and ethical AI development.

Responsibilities

  • Architect and train large-scale neural networks focusing on Transformer architectures and diffusion models.
  • Optimize model inference latency and accuracy for edge deployment and cloud scalability.
  • Collaborate with product teams to translate complex requirements into robust ML pipelines using MLOps best practices.
  • Conduct cutting-edge research in Natural Language Processing (NLP) and multimodal learning.
  • Ensure model interpretability, fairness, and adherence to safety guidelines.

Qualifications

  • Master’s or PhD in Computer Science, Mathematics, or a related field.
  • 5+ years of professional experience in Machine Learning or Deep Learning.
  • Proficiency in Python, PyTorch, and TensorFlow.
  • Experience with vector databases (Pinecone, Weaviate) and LLM orchestration (LangChain, LlamaIndex).
  • Strong understanding of distributed systems and cloud architecture (AWS/GCP/Azure).

Required Skills

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

Ready to Take This Challenge?

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