Related skills
workflow automation nlp deep learning tensorflow pytorch📋 Description
- Develop novel ML research grounded in real-world product needs.
- Explore new model architectures, training paradigms, and eval techniques.
- Design, implement, and test ML/AI methods to improve core tasks.
- Build datasets, metrics, and evaluations that drive progress.
- Partner with engineering, product, and data teams to productionize algorithms.
- Build prototypes and proof-of-concept models for impact.
🎯 Requirements
- Advanced degree (Master’s/Ph.D.) in ML, CS, Stats, or related field, or equivalent.
- Strong foundation in deep learning, probabilistic models, large-scale AI systems.
- Experience with PyTorch or TensorFlow.
- Ability to bridge research and product engineering with reliable experiments.
- Creative problem-solving; comfortable in ambiguous, early-stage envs.
- Excellent communication; explain concepts clearly and make data-driven recommendations.
Meet JobCopilot: Your Personal AI Job Hunter
Automatically Apply to Engineering Jobs. Just set your
preferences and Job Copilot will do the rest — finding, filtering, and applying while you focus on what matters.
Help us maintain the quality of jobs posted on Empllo!
Is this position not a remote job?
Let us know!