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Senior AI Research Engineer

TechNova AI
Seattle, WA
Salary Estimate
USD 150.000 – USD 200.000
Posting Time
8 Mei 2026
Deadline
8 Mei 2027

Job description

TechNova AI is seeking a Senior AI Research Engineer to join our Seattle-based team. You will drive cutting-edge research in machine learning, deep learning, and natural language processing to build scalable AI capabilities powering our products.

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We offer a collaborative, data-driven environment focused on rigor, reproducibility, and impact. You will work with product, platform, and data science teams to translate research into robust, deployed solutions.

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About the role

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You will design experiments, evaluate algorithms, and contribute to the architecture of end-to-end AI systems. You will mentor engineers, publish findings internally, and share insights with stakeholders.

Responsibility

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  • Lead and execute cutting-edge research in areas such as deep learning, NLP, and ML for scalable AI products.
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  • Design, implement, and optimize end-to-end ML models and data pipelines.
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  • Collaborate with product, data, and engineering teams to translate research into production-ready solutions.
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  • Define experimental frameworks with rigorous evaluation and reproducibility.
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  • Mentor junior engineers and contribute to coding standards and best practices.
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  • Publish findings internally and externally, and present at team reviews and conferences.
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  • Develop MLOps practices for model deployment, monitoring, and governance.
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Qualification

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  • PhD or MS in Computer Science, Electrical Engineering, or a related field, or equivalent practical experience.
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  • 5+ years of AI research or ML engineering experience with a track record of impactful results.
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  • Strong coding skills in Python; hands-on experience with PyTorch or TensorFlow.
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  • Experience deploying ML models and building MLOps pipelines on cloud platforms (AWS, GCP, or Azure).
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  • Strong mathematical foundation and familiarity with evaluation metrics, experimentation design, and A/B testing.
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  • Excellent communication, collaboration, and problem-solving abilities.
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  • Publication history, patents, or demonstrated open-source contributions is a plus.
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Required Skills

Python PyTorch TensorFlow ML NLP Deep Learning Reinforcement Learning MLOps Cloud (AWS/GCP/Azure) CUDA distributed systems data analysis

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