Machine Learning Engineer (Local Search & Marketplace)

Location: Mountain View, California, United States

Annual base pay: $190,000–$300,000 USD

Company

hirify.global is a Content Intelligence platform delivering personalized local news and information through AI, recommendation systems, and adtech.

What you will do

• Build and improve machine learning models for search, recommendation, ranking, retrieval, matching, and personalization.
• Develop systems that understand user queries, behaviors, preferences, and context.
• Apply embeddings, natural language processing, large language models, and modern retrieval techniques to connect consumers with local content, businesses, and services.
• Build and optimize end-to-end ML pipelines covering data preparation, model training, online serving, and monitoring.
• Partner with product, engineering, and data teams to define problems and deliver scalable ML solutions.
• Design online and offline experiments to measure model quality and product impact.

Requirements

• Experience building machine learning, data mining, search, recommendation, ranking, NLP, or related systems through academic projects, internships, or industry work.
• Strong programming skills in Python, Java, C++, or another relevant language.
• Understanding of machine learning fundamentals, data structures, algorithms, and statistical analysis.
• Experience with search and retrieval, learning-to-rank, recommendation, personalization, query understanding, intent classification, NLP, embeddings, semantic search, LLMs, matching, or marketplace optimization.
• Ability to work with large-scale or complex datasets and translate ambiguous problems into practical solutions.
• Strong collaboration and communication skills, with interest in production systems serving real users.

Nice to have

• Experience deploying and maintaining machine learning models in production.
• Experience with A/B testing, causal analysis, or marketplace experiments.
• Familiarity with PyTorch, TensorFlow, Spark, Kubernetes, or feature and model-serving platforms.
• Experience with taxonomies, user-interest representations, knowledge graphs, behavioral models, or LLM applications.
• Background in local search, maps, commerce, marketplaces, delivery, mobility, or location-based products.

Culture & Benefits

• Full-time position with a US annual base salary range of $190,000–$300,000.
• Potential eligibility for a discretionary bonus and equity or options depending on position and level.
• Opportunity to work on AI-powered products used by more than 40 million monthly active users.
• Role scope and level calibrated according to experience.