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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI & Machine Learning Engineer

FutureScale Technologies
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

We are seeking a visionary Senior AI & Machine Learning Engineer to join our elite R&D division. As we look toward 2026, we are building the infrastructure that will power the next generation of autonomous intelligent systems. You will not just be maintaining models; you will be architecting the future of generative AI.

In this role, you will work at the intersection of deep learning, natural language processing, and large-scale distributed systems. You will have the autonomy to define technical strategies and mentor a team of top-tier engineers pushing the boundaries of what is possible.

Responsibilities

  • Architect & Deploy: Design and implement scalable, production-ready AI models with a focus on inference optimization and low-latency response times.
  • Model Development: Lead the research and fine-tuning of Large Language Models (LLMs) to enhance domain-specific capabilities.
  • Roadmap Strategy: Define the technical roadmap for 2026, incorporating emerging trends in AGI and reinforcement learning.
  • System Optimization: Oversee MLOps pipelines to ensure continuous integration, deployment, and monitoring of model performance.
  • Collaboration: Partner with product managers and data scientists to translate complex business requirements into robust technical solutions.
  • Ethical AI: Establish and enforce safety guidelines and bias mitigation strategies within AI systems.

Qualifications

  • Education: Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Experience: 5+ years of professional experience in machine learning engineering, with at least 2 years in a senior leadership or architect role.
  • Technical Stack: Proficiency in Python, PyTorch, TensorFlow, and SQL.
  • Infrastructure: Strong experience with cloud platforms (AWS/GCP/Azure) and containerization technologies (Docker/Kubernetes).
  • Communication: Excellent verbal and written communication skills, with the ability to present complex technical concepts to non-technical stakeholders.
  • Innovation: Proven track record of delivering innovative solutions in fast-paced environments.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP MLOps AWS Kubernetes Docker Generative AI

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