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Senior AI Research Engineer - Generative Models (2026 Vision)

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
9 Juli 2026
Deadline
9 Jul 2027

Job Description

We are building the intelligence layer of the future. Nexus Horizon Labs is seeking a visionary Senior AI Research Engineer to spearhead our Generative AI initiatives designed for the 2026 era. You will be at the forefront of developing next-generation multimodal models, agentic workflows, and scalable AI architectures that redefine human-machine interaction.

In this role, you won't just implement existing models; you will architect the future of synthetic data and autonomous agents. Join us in a high-performance environment where innovation is not just encouraged—it is the metric of success.

Why Join Us?

  • Work on cutting-edge Agentic AI technology.
  • Competitive compensation package with equity options.
  • Flexible remote-first culture with premium San Francisco amenities.
  • Access to state-of-the-art compute infrastructure.

Responsibilities

  • Design, train, and fine-tune large language models (LLMs) and diffusion models using proprietary datasets.
  • Architect robust MLOps pipelines to ensure seamless deployment and monitoring of AI agents.
  • Research novel techniques for enhancing model reasoning, memory retention, and multi-step planning capabilities.
  • Collaborate closely with product leadership to translate complex AI capabilities into user-centric features.
  • Optimize model inference latency and cost-efficiency for edge deployment scenarios.
  • Contribute to open-source communities and publish research papers on advanced generative techniques.

Qualifications

  • Master’s or PhD in Computer Science, Machine Learning, or a related quantitative field (3-5+ years of experience).
  • Deep expertise in deep learning frameworks such as PyTorch or TensorFlow.
  • Proven track record of publishing in top-tier conferences (NeurIPS, ICML, ACL) or shipping high-impact production models.
  • Strong understanding of transformer architectures, reinforcement learning, and causal inference.
  • Experience with vector databases (Pinecone, Milvus) and retrieval-augmented generation (RAG) systems.
  • Excellent communication skills and the ability to mentor junior researchers.

Required Skills

Python PyTorch TensorFlow LLMs MLOps NLP Machine Learning Reinforcement Learning Vector Databases RAG Deep Learning

Ready to Take This Challenge?

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