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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI & Machine Learning Engineer

Apex Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
16 Mei 2026
Deadline
16 Mei 2027

Job Description

We are Apex Future Systems, a pioneer in next-generation Artificial Intelligence solutions. As we gear up for the technological landscape of 2026, we are seeking a visionary Senior AI Engineer to lead our research and development in Generative AI, Large Language Models (LLMs), and autonomous agents. You will be at the forefront of building the intelligence that will power the digital ecosystem of the future.

Why Join Us?

  • Impact: Architect scalable AI models that will be integrated into enterprise-level products.
  • Autonomy: Work in a cutting-edge environment with the freedom to experiment and innovate.
  • Equity: Competitive stock options as we scale towards our Series C.

Don't just build the future; help define it.

Responsibilities

  • Design, train, and deploy state-of-the-art Deep Learning models, specifically focusing on Transformers and LLMs.
  • Build robust MLOps pipelines to ensure scalability, monitoring, and automated retraining of models in production environments.
  • Collaborate closely with product managers and engineers to translate complex AI concepts into user-friendly features.
  • Conduct rigorous research to improve model accuracy, reduce hallucinations, and enhance prompt engineering strategies.
  • Optimize inference latency and cost-efficiency for edge and cloud deployment scenarios.
  • Stay ahead of industry trends in AI, contributing to the company's technical roadmap and internal knowledge base.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Mathematics, or a related quantitative field.
  • 5+ years of professional experience in Machine Learning, Deep Learning, or Natural Language Processing (NLP).
  • Strong proficiency in Python, PyTorch, TensorFlow, or JAX.
  • Experience with vector databases (Pinecone, Milvus) and RAG (Retrieval-Augmented Generation) architectures.
  • Deep understanding of distributed computing systems and cloud platforms (AWS, GCP, or Azure).
  • Excellent communication skills with the ability to present complex technical data to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP LLM MLOps AWS GCP Data Science

Ready to Take This Challenge?

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