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Senior AI Research Engineer (2026 Vision)

Apex Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
22 Mei 2026
Deadline
22 Mei 2027

Job Description

Are you ready to define the next generation of artificial intelligence? Join Apex Systems, a forward-thinking leader in tech innovation, as our new Senior AI Research Engineer. We are looking for a visionary engineer to architect scalable, state-of-the-art models that will define the industry standards for 2026 and beyond.

In this pivotal role, you won't just be writing code; you'll be defining the future of human-machine interaction. We offer a competitive salary, equity, and the chance to work with cutting-edge technology in a collaborative, high-performance environment.

Why Join Us?

  • Future-Ready Tech: Work on projects that are shaping the roadmap for 2026 and the years that follow.
  • Competitive Compensation: Salary range of $180k - $260k plus performance bonuses.
  • Flexible Environment: Hybrid work model supporting a healthy work-life balance.

Responsibilities

  • Lead Model Architecture: Design, develop, and deploy advanced machine learning models focusing on Large Language Models (LLMs) and generative AI.
  • Research Leadership: Conduct groundbreaking research to solve complex business problems, publishing findings in top-tier conferences.
  • System Optimization: Optimize model inference speeds and reduce latency for real-time applications.
  • Collaboration: Work closely with cross-functional teams of data scientists, engineers, and product managers to integrate AI solutions into production.
  • Technical Mentorship: Mentor junior engineers and establish best practices for AI development within the organization.

Qualifications

  • Education: Master’s or PhD in Computer Science, Statistics, or a related technical field.
  • Experience: 5+ years of professional experience in machine learning research and software engineering.
  • Stack: Proficiency in Python, PyTorch, TensorFlow, and experience with GPU acceleration (CUDA).
  • Algorithms: Strong foundation in statistical analysis, deep learning architectures, and reinforcement learning.
  • Problem Solving: Demonstrated ability to tackle ambiguous problems and deliver innovative solutions under tight deadlines.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP CUDA Research AI Engineering

Ready to Take This Challenge?

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