ML Engineer (AI)

Location: On-site in Mountain View, California, United States

Salary: $220,000–$300,000 USD annually

Company

hirify.global is an early-stage AI data and services company building machine learning systems for frontier AI labs.

What you will do

• Build and optimize end-to-end ML pipelines from data ingestion through deployment.
• Implement and fine-tune LLMs, embeddings, and generative models for real-world applications.
• Develop efficient training and inference systems using distributed compute.
• Collaborate with data and product teams to translate ideas into measurable ML impact.
• Build model monitoring, evaluation, and continual learning frameworks.
• Establish best practices for model versioning, reproducibility, and scalability.

Requirements

• 3–10 years of experience as an ML Engineer, Applied Scientist, or Research Engineer.
• Proficiency in Python and at least one major ML framework: PyTorch, TensorFlow, or JAX.
• Strong knowledge of ML fundamentals, including data preprocessing, feature engineering, model training, and optimization.
• Hands-on experience with distributed systems and cloud ML infrastructure on AWS, GCP, or Azure.
• Familiarity with MLOps tools such as Weights & Biases or MLflow.
• Experience working with large datasets and high-throughput systems, plus the ability to work autonomously.

Culture & Benefits

• Founding-level role with high ownership in a small team.
• Opportunity to shape technical culture and infrastructure from the beginning.
• Visa sponsorship is not available for this role.