Software Engineer, ML Infra (Junior & New Grad) (ML)

Location: Mountain View, California, United States

Annual base pay: $125,000–$175,000 USD, with potential discretionary bonus and options.

Company

hirify.global is a content intelligence platform serving personalized local news and information through AI, recommendation systems, and adtech.

What you will do

• Design and develop machine learning infrastructure.
• Own systems for offline and online model training, pipeline health monitoring, model serving, feature authoring, and feature serving.
• Improve training reliability and model serving performance while reducing latency and cost.
• Strengthen feature and embedding infrastructure so offline and online model inputs remain fresh and consistent.
• Identify and resolve ML infrastructure issues that may affect production.
• Collaborate with ML engineers to build robust model pipelines.

Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related field with 2+ years of relevant experience, or a Master’s/PhD in a related discipline.
• Proficiency in Python and strong understanding of object-oriented languages such as C++ or Java.
• Basic knowledge of applied machine learning.
• Experience with major deep learning frameworks such as PyTorch and TensorFlow.
• Familiarity with version control, bug tracking, and design documentation.

Nice to have

• Familiarity with cloud services such as AWS, GCP, or Azure.
• Contributions to open-source machine learning or infrastructure tools.
• A systematic, data-driven problem-solving approach and strong communication skills.

Culture & Benefits

• Small, high-ownership team with end-to-end responsibility from design through rollout and post-launch learning.
• Work has direct production impact across the ML infrastructure stack.
• Opportunities to lead projects and mentor others.
• Pragmatic, outcome-focused culture emphasizing clear thinking and follow-through.
• Full-time rewards package may include discretionary bonus and options.

Hiring process

• Recruiter can provide additional details about the rewards package during the hiring process.