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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI/ML Engineer - 2026 Vision

FutureScale Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

The Opportunity: We are building the operating system for the next generation of autonomous intelligence. As a Senior AI/ML Engineer at FutureScale Labs, you won't just be building models—you will be architecting the future of human-machine collaboration in the year 2026 and beyond.

About the Role:

Join our elite R&D team to pioneer the next wave of Artificial General Intelligence (AGI) and autonomous agents. You will be responsible for designing scalable, robust, and ethical AI systems that redefine industry standards. If you are passionate about pushing the boundaries of what is possible with Large Language Models (LLMs) and reinforcement learning, this is your stage.

Why Join Us?

  • Work on cutting-edge technology that defines the 2026 landscape.
  • Competitive equity package and performance bonuses.
  • Top-tier engineering stack and unlimited PTO policy.

Responsibilities

  • Architect AGI Solutions: Design and implement next-generation autonomous agents capable of complex reasoning and multi-step task execution.
  • Model Optimization: Engineer efficient inference pipelines and fine-tune state-of-the-art foundation models for specific vertical use cases.
  • Research & Development: Conduct experimental research in emergent AI behaviors, safety alignment, and multimodal learning.
  • System Scalability: Build resilient, distributed machine learning infrastructure capable of handling petabyte-scale data.
  • Mentorship: Guide a team of junior data scientists and ML engineers, fostering a culture of innovation and technical excellence.

Qualifications

  • Education: Ph.D. or Master’s degree in Computer Science, Machine Learning, or a related quantitative field.
  • Experience: 5+ years of professional experience in machine learning engineering, with a focus on deep learning frameworks.
  • Technical Skills: Proficiency in Python, PyTorch, or TensorFlow; strong understanding of NLP and LLM architecture.
  • System Design: Demonstrated ability to design and deploy large-scale, high-availability machine learning systems.
  • Problem Solving: Exceptional analytical skills with a track record of solving complex technical challenges.

Required Skills

Python PyTorch TensorFlow Machine Learning NLP LLMs Deep Learning System Design Kubernetes Cloud Computing

Ready to Take This Challenge?

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