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Senior AI Engineer (2026 Roadmap)

Aperture Sciences
San Francisco
Estimated Salary
USD 160.000 – USD 230.000
New
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

We are seeking a visionary Senior AI Engineer to spearhead our technology roadmap for the 2026 landscape. As a leader in generative intelligence, we are building the next generation of adaptive models that redefine human-machine interaction. You will be at the forefront of deploying large-scale neural networks, optimizing inference performance, and architecting systems that are scalable, secure, and ethically sound.

Why Join Us?

  • Impactful Work: Directly influence the core architecture of our flagship AI products.
  • Future-Ready: Work on cutting-edge technologies designed for the 2026 production environment.
  • Competitive Compensation: Comprehensive benefits package including equity and performance bonuses.

Core Responsibilities:

Responsibilities

  • Architect and implement scalable machine learning infrastructure tailored for 2026 workloads.
  • Lead the development and fine-tuning of Large Language Models (LLMs) and multimodal systems.
  • Optimize model inference latency and cost-efficiency across distributed cloud environments.
  • Collaborate with cross-functional teams to integrate AI capabilities into consumer-facing products.
  • Ensure data privacy, security compliance, and ethical AI usage in all deployments.
  • Mentor junior engineers and foster a culture of technical excellence and innovation.
  • Qualifications

  • Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • 7+ years of professional experience in machine learning engineering or data science.
  • Deep expertise in Python, PyTorch, TensorFlow, or JAX.
  • Proven track record of deploying production-grade models at scale (e.g., on AWS, GCP, or Azure).
  • Experience with MLOps tools (MLflow, Kubeflow) and vector databases (Pinecone, Milvus).
  • Strong understanding of distributed systems and cloud-native architectures.
  • Required Skills

    Python Machine Learning Deep Learning PyTorch TensorFlow NLP MLOps AWS GCP Kubernetes Distributed Systems

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