remote
AI Research Engineer - Prolific
Research Engineer
Lead cutting‑edge AI research, developing scalable models and datasets. Drive innovation in deep learning, NLP, and statistical analysis using Python, TensorFlow, and PyTorch to deliver high‑quality, diverse data solutions.
About the role
Key Responsibilities
- Design, implement, and evaluate advanced machine learning models for diverse data generation and enhancement.
- Collaborate with cross‑functional teams to translate research findings into production‑ready pipelines.
- Conduct rigorous experiments, analyze results, and publish insights in internal reports and external conferences.
- Maintain and optimize data infrastructure, ensuring high‑quality, scalable datasets for AI training.
- Mentor junior researchers and contribute to the continuous improvement of research methodologies.
Requirements
- PhD or Master’s in Computer Science, Machine Learning, or related field with strong research background.
- Proficiency in Python, TensorFlow, and PyTorch for building and deploying deep learning models.
- Experience with NLP techniques and large‑scale data processing.
- Strong statistical analysis skills and familiarity with experimental design.
- Excellent communication skills and a track record of publishing research.
Skills
pythonmachine learningdeep learningtensorflowpytorchnatural language processing