Senior Machine Learning Engineer (NLP)

About the Role

Our client is seeking a highly skilled Senior Machine Learning Engineer specializing in Natural Language Processing (NLP) to join their innovative AI team. This role is crucial for developing next-generation language understanding and generation capabilities that will power our core products. As a remote-first member of the team, you will have the autonomy to drive projects from conception to deployment, working with cutting-edge tools and techniques. You will be at the forefront of NLP advancements, contributing to significant product enhancements and influencing the technical direction of our AI initiatives.

Key Responsibilities

• Design, develop, and deploy advanced NLP models for tasks such as text classification, sentiment analysis, named entity recognition, and machine translation.
• Conduct research into new NLP algorithms and techniques, evaluating their potential for application.
• Build and maintain robust data pipelines for training and evaluating NLP models.
• Collaborate with product managers and software engineers to integrate NLP solutions into existing platforms.
• Optimize model performance for inference speed and accuracy in production environments.
• Mentor junior engineers and contribute to the team's knowledge sharing through presentations and documentation.

Requirements

• Master's or PhD in Computer Science, AI, Machine Learning, or a related quantitative field.
• 5+ years of hands-on experience in machine learning, with a strong focus on NLP.
• Proficiency in Python and ML libraries such as TensorFlow, PyTorch, and scikit-learn.
• Experience with NLP libraries like Hugging Face Transformers, spaCy, or NLTK.
• Proven track record of deploying ML models into production environments.
• Excellent problem-solving abilities and strong communication skills for effective remote collaboration.

Benefits

• Competitive salary and equity options.
• Fully remote working arrangement with flexible scheduling.
• Comprehensive health, dental, and vision insurance.
• Generous professional development budget and opportunities for research.
• Access to state-of-the-art computing resources and cloud platforms.