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Senior AI/ML Engineer (2024)

Apex Systems
San Francisco
Estimated Salary
USD 150.000 – USD 220.000
Live Update
22 Mei 2026
Deadline
22 Mei 2027

Job Description

Join the Future of Intelligence at Apex Systems.

We are looking for a visionary Senior AI/ML Engineer to lead the development of cutting-edge Generative AI solutions. In this role, you will bridge the gap between theoretical machine learning and real-world application, building scalable models that drive business value. If you are passionate about the 2024 landscape of Artificial Intelligence and want to work with a team of industry experts, we want to hear from you.

Why join us?
• Competitive salary and equity package.
• Remote-first culture with flexible hours.
• Access to the latest hardware and cloud infrastructure.
• Professional development and conference sponsorship.

Responsibilities

  • Design, train, and deploy scalable Machine Learning models and LLMs using Python and PyTorch.
  • Collaborate with cross-functional teams to integrate AI solutions into existing software architectures.
  • Optimize model performance for latency, throughput, and accuracy in production environments.
  • Conduct thorough data analysis and preprocessing to ensure high-quality training datasets.
  • Stay abreast of the latest advancements in AI research and implement innovative solutions.
  • Document technical specifications, methodologies, and best practices for the engineering team.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Data Science, or a related technical field.
  • 5+ years of professional experience in software engineering and machine learning.
  • Strong proficiency in Python, including frameworks such as TensorFlow, PyTorch, or JAX.
  • Deep understanding of NLP, Computer Vision, or Reinforcement Learning concepts.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Excellent problem-solving skills and the ability to work in a fast-paced, agile environment.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP LLMs AWS Docker Kubernetes SQL

Ready to Take This Challenge?

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