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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Research Engineer

2026
Austin
Estimated Salary
USD 160.000 – USD 230.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

At 2026, we are not merely forecasting the future; we are architecting it. We are seeking a visionary Senior AI Research Engineer to join our elite team in Austin, Texas. You will be at the forefront of developing next-generation machine learning models that redefine industry standards. If you are passionate about pushing the boundaries of artificial intelligence and want to work in a high-performance environment, we want to hear from you.

Why Join 2026?

  • Impactful Work: Directly influence the trajectory of global AI infrastructure.
  • Top-Tier Compensation: Competitive base salary plus equity package.
  • Flexible Culture: Remote-first hybrid model with a focus on well-being.

Join us in building the intelligent systems of tomorrow.

Responsibilities

  • Lead the end-to-end research and development of advanced machine learning algorithms and deep learning models.
  • Design and implement scalable data pipelines to support large-scale model training and inference.
  • Collaborate with cross-functional teams of data scientists, engineers, and product managers to translate research into production-ready solutions.
  • Publish high-impact research papers and contribute to the open-source community.
  • Mentor junior engineers and researchers, fostering a culture of innovation and continuous learning.
  • Optimize model performance for latency, throughput, and resource efficiency in cloud environments.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
  • 5+ years of professional experience in Machine Learning or Deep Learning research and engineering.
  • Expert proficiency in Python, PyTorch, or TensorFlow.
  • Strong background in Natural Language Processing (NLP) or Computer Vision is highly preferred.
  • Proven track record of deploying ML models in production environments.
  • Excellent problem-solving skills and ability to thrive in a fast-paced, dynamic startup environment.

Required Skills

Python PyTorch TensorFlow Deep Learning NLP Machine Learning Data Pipelines Cloud Computing MLOps

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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