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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Engineer

Apex Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 240.000
New
Live Update
17 Mei 2026
Deadline
17 Mei 2027

Job Description

Are you ready to architect the future of intelligent systems?

Apex Innovations is on a mission to redefine human-computer interaction through cutting-edge Artificial Intelligence. We are seeking a visionary Senior AI Engineer to join our elite engineering team in San Francisco. In this pivotal role, you will design, train, and deploy scalable machine learning models that power our next-generation products.

If you are passionate about Deep Learning, Natural Language Processing (NLP), and building systems that think, we want to meet you.

Why Join Us?

  • Work with state-of-the-art LLMs and Generative AI technologies.
  • Competitive equity package and top-tier benefits.
  • Flexible remote-first culture with a dynamic office in the heart of the Bay Area.

Responsibilities

  • Model Development: Design and implement complex machine learning algorithms and deep neural networks to solve real-world business problems.
  • LLM Fine-Tuning: Lead the fine-tuning and optimization of Large Language Models (LLMs) to enhance performance and reduce hallucinations.
  • System Architecture: Build scalable MLOps pipelines for model training, validation, and deployment using cloud infrastructure (AWS/GCP).
  • Research & Innovation: Stay at the forefront of AI research, evaluating new papers and technologies to integrate them into our product stack.
  • Collaboration: Partner with product managers and data scientists to translate business requirements into technical specifications.
  • Performance Optimization: Continuously monitor, evaluate, and optimize model inference latency and accuracy.

Qualifications

  • Education: Master’s or PhD in Computer Science, Mathematics, Statistics, or a related field.
  • Experience: 5+ years of professional experience in Machine Learning or AI engineering.
  • Programming: Proficiency in Python, PyTorch, TensorFlow, or JAX.
  • Frameworks: Strong experience with Hugging Face Transformers, LangChain, or similar NLP frameworks.
  • Cloud: Experience deploying models on AWS, GCP, or Azure (e.g., SageMaker, Vertex AI).
  • Problem Solving: Deep understanding of statistical modeling, optimization techniques, and distributed systems.

Required Skills

Python PyTorch TensorFlow AWS GCP Machine Learning Deep Learning NLP LLMs MLOps Hugging Face SQL

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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