Machine Learning Engineer (NLP)

TL;DR

Machine Learning Engineer (NLP): Designing, building, and optimizing scalable machine learning models and NLP solutions with an accent on the end-to-end model lifecycle from research to production. Focus on developing advanced algorithms, implementing robust MLOps/DevOps practices, and ensuring high-performance model deployment on cloud platforms.

Location: San Francisco, CA (Must be based in the US)

Salary: $118,600 – $129,000

Company

hirify.global is a professional staffing and technical recruiting firm specializing in STEM roles.

What you will do

• Develop, train, and optimize supervised and unsupervised learning algorithms to solve complex business challenges.
• Design and implement deep learning architectures and NLP pipelines for text analysis and intelligent automation.
• Extract and manipulate large datasets for model training using Python, R, and advanced SQL.
• Build and fine-tune models using industry-standard frameworks such as TensorFlow, Keras, and PyTorch.
• Implement MLOps and DevOps practices, managing model registries, CI/CD, and production monitoring.
• Deploy and scale machine learning workloads across cloud platforms (AWS, Azure, or GCP).

Requirements

• Professional experience designing, deploying, and maintaining machine learning models in production environments.
• Deep theoretical and practical knowledge of supervised and unsupervised learning algorithms.
• Proven experience building neural networks and NLP applications.
• Strong programming proficiency in Python, R, and SQL.
• Hands-on experience with TensorFlow, Keras, and PyTorch.
• Working knowledge of cloud platforms (AWS, Azure, or GCP) and practical MLOps pipeline implementation.

Nice to have

• Experience optimizing model inference latency and resource utilization in cloud-native environments.
• Strong collaboration skills to bridge the gap between data science research and software engineering production standards.

Culture & Benefits

• Comprehensive health benefits including major medical, dental, and vision insurance.
• 401k retirement plan.
• Statutory sick pay where required.
• Commitment to diversity and reasonable accommodations for individuals with disabilities.