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Senior AI Research Engineer

Synapse Dynamics
San Francisco
Estimated Salary
USD 195.000 – USD 250.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

We are seeking a visionary Senior AI Research Engineer to join Synapse Dynamics. In this pivotal role, you will drive the development of next-generation artificial intelligence systems that define the future of automation and human-computer interaction. You will work on cutting-edge projects solving complex real-world problems, pushing the boundaries of what is possible with machine learning. If you are passionate about innovation and possess a deep technical background, we want to hear from you.

Why Join Us?

  • Work on state-of-the-art AI models that impact millions of users.
  • Competitive salary and equity package.
  • Flexible remote-first culture with a vibrant office in the heart of San Francisco.
  • Continuous learning opportunities and access to the latest hardware and tools.

Responsibilities

  • Design, train, and evaluate state-of-the-art machine learning models and algorithms.
  • Conduct research to improve model accuracy, efficiency, and scalability for production use cases.
  • Collaborate closely with product managers and software engineers to integrate AI solutions into robust applications.
  • Stay abreast of the latest advancements in AI research and implement novel techniques.
  • Mentor junior engineers and researchers to foster a culture of innovation and technical excellence.
  • Document research findings, architecture decisions, and technical specifications.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, Statistics, or a related technical field.
  • 5+ years of professional experience in AI/ML research and development.
  • Strong proficiency in Python, PyTorch, or TensorFlow.
  • Deep understanding of deep learning architectures (CNNs, RNNs, Transformers).
  • Experience with Natural Language Processing (NLP) or Computer Vision is highly preferred.
  • Proven track record of publishing in top-tier conferences (NeurIPS, ICML, ACL) or contributing to open-source projects.
  • Excellent problem-solving skills and ability to thrive in a fast-paced, agile environment.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP Computer Vision SQL C++ Research Algorithms

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