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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Research Scientist

2026
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
Live Update
13 Mei 2026
Deadline
13 Mei 2027

Job Description

Join the Future with 2026

At 2026, we are not just predicting the future; we are architecting it. We are a pioneering technology firm dedicated to developing next-generation artificial intelligence solutions that redefine human-machine interaction. We are seeking a visionary Senior AI Research Scientist to lead our core research initiatives.

If you are passionate about pushing the boundaries of what is possible with deep learning, and you thrive in a fast-paced, innovative environment, we want to meet you.

Why join us?

  • Competitive base salary and equity package.
  • Flexible remote-first work culture.
  • Access to cutting-edge hardware and research tools.
  • Opportunity to work on high-impact, global problems.

Responsibilities

  • Research & Development: Lead the design, implementation, and optimization of advanced machine learning models and algorithms.
  • Model Deployment: Translate theoretical research into scalable, production-ready software solutions using cloud infrastructure (AWS/GCP).
  • Collaboration: Partner with product managers, engineers, and designers to define technical requirements and drive product innovation.
  • Mentorship: Mentor junior data scientists and engineers, fostering a culture of continuous learning and technical excellence.
  • Publication: Contribute to academic and industry publications to establish 2026 as a thought leader in the AI space.
  • Performance: Continuously monitor model performance, identify bottlenecks, and implement improvements to enhance system efficiency.

Qualifications

  • Education: Ph.D. or Master’s degree in Computer Science, Mathematics, Statistics, or a related field.
  • Experience: 5+ years of professional experience in AI/ML engineering, research, or a related domain.
  • Technical Skills: Strong proficiency in Python, PyTorch, TensorFlow, or similar deep learning frameworks.
  • Infrastructure: Deep understanding of distributed systems, MLOps, and cloud-native architecture.
  • Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.
  • Problem Solving: Proven track record of solving complex problems with data-driven solutions.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP Computer Vision AWS GCP MLOps SQL Agile

Ready to Take This Challenge?

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