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Senior AI Engineer (Project 2026)

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

Job Description

We are seeking a visionary Senior AI Engineer to spearhead the development of our flagship Project 2026. As a pioneer in artificial general intelligence, Synthetix Labs is building the systems that will define the next era of human productivity. In this role, you will design and deploy next-generation neural architectures capable of reasoning, learning, and adapting in real-time environments.

You will work alongside world-class researchers and engineers to solve complex problems in natural language processing, multimodal learning, and autonomous systems. If you are passionate about the future of AI and want to leave a lasting impact on the technology of tomorrow, apply today.

Responsibilities

  • Architect and train state-of-the-art large language models (LLMs) for the Project 2026 ecosystem.
  • Optimize model inference pipelines for high-scale, low-latency production environments.
  • Collaborate with cross-functional teams to integrate AI capabilities into consumer-facing products.
  • Research and implement novel techniques in reinforcement learning and few-shot prompting.
  • Mentor junior engineers and conduct code reviews to maintain high engineering standards.
  • Stay abreast of the latest advancements in AI research to drive continuous innovation.

Qualifications

  • PhD or Master's degree in Computer Science, Artificial Intelligence, or a related quantitative field.
  • 5+ years of professional experience in deep learning, machine learning, or AI research.
  • Strong proficiency in Python, PyTorch, and TensorFlow.
  • Proven track record of publishing in top-tier conferences (NeurIPS, ICML, ACL) or open-sourcing significant projects.
  • Experience with distributed training frameworks (Ray, Kubernetes) and cloud infrastructure (AWS, GCP).
  • Excellent communication skills and the ability to translate complex technical concepts for diverse stakeholders.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP LLMs Distributed Systems AWS GCP

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