Software Engineer (SE / Sr SE), Applied ML & Data Mining

Location: Santa Clara, CA, United States; hybrid workplace

Company

hirify.global develops autonomous-driving technology and data systems for improving autonomy models.

What you will do

• Develop and evaluate mining, retrieval, and ranking methods using model confidence, disagreement, embeddings, anomalies, temporal behavior, and learned representations.
• Build semantic image, video, and scenario search with multimodal retrieval, vector search, metadata filters, temporal and spatial filters, and task-specific ranking.
• Operate distributed mining, inference, and indexing pipelines over fleet-scale imagery, video, time-series, and autonomy-system data.
• Generate embeddings, run GPU batch inference, create reproducible candidate datasets, and maintain reliable index refreshes.
• Design and ship end-to-end mining products, including Python APIs and services, relational models, asynchronous jobs, and TypeScript/React search and review interfaces.
• Support deployment, access control, testing, observability, production reliability, and continuous improvement under the Quality Management System.

Requirements

• BS, MS, or PhD in Computer Science, Machine Learning, or a related technical field, or equivalent practical experience.
• Hands-on experience with machine learning, data mining, computer vision, or information retrieval methods using PyTorch or TensorFlow.
• Experience with experimentation, error analysis, principled metrics, model uncertainty, evaluation, embeddings, and similarity search.
• Understanding of how training-data composition shapes model behavior.
• Strong ownership, self-direction, learning ability, and capacity to drive projects end to end.

Nice to have

• Production full-stack experience with backend services, REST APIs, relational data modeling, SQL, JavaScript or TypeScript, and React.
• Experience with active learning, data flywheels, hard-example mining, uncertainty or disagreement signals, dataset curation, or model training and fine-tuning.
• Experience in autonomous driving, robotics, or perception.
• Experience with CLIP-style models, VLMs, Milvus, FAISS, pgvector, or GPU batch inference at scale.

Culture & Benefits

• Hybrid work environment based in Santa Clara, California.
• Opportunity to work across applied machine learning, information retrieval, large-scale data processing, and product engineering.
• Level determined by experience, technical depth, scope of ownership, and demonstrated impact.