Machine Learning Engineer (NLP)

Location: San Francisco, California, United States

Salary: $118,600 per year

Company

hirify.global provides staffing and temporary assignment opportunities for technical professionals.

What you will do

• Design, train, and optimize supervised and unsupervised machine learning algorithms.
• Build neural network architectures and natural language processing pipelines for text analysis and intelligent automation.
• Use Python, R, and advanced SQL to prepare large datasets for model training and evaluation.
• Develop and fine-tune models with TensorFlow, Keras, and PyTorch.
• Automate model registries, testing, CI/CD, monitoring, and other MLOps processes for production systems.
• Deploy and scale machine learning workloads on cloud platforms with attention to cost, security, and inference latency.

Requirements

• Professional experience designing, deploying, and maintaining machine learning models in production.
• Deep theoretical and practical knowledge of supervised and unsupervised learning.
• Experience building neural networks and NLP applications.
• Strong programming skills in Python, R, and SQL.
• Hands-on experience with TensorFlow, Keras, and PyTorch.
• Working knowledge of AWS, Azure, or GCP and practical DevOps/MLOps experience for model serving and monitoring.

Nice to have

• Experience optimizing model inference latency and resource utilization in cloud-native environments.
• Strong collaboration and communication skills across data science and software engineering.

Culture & Benefits

• Hands-on technical work connecting research with production engineering standards.
• For temporary assignments lasting 13 weeks or longer: major medical, dental, vision, and 401(k) benefits.
• Statutory sick pay is provided where required.
• Reasonable accommodations are available during the employment process.