3 months ago
Mountain View, CA, USAEntry Level / Mid Level / Senior
H1B sponsor
Base Salary
$190k - $300k/yr
Responsibilities
- 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 consumer demand with relevant local content, businesses, or services.
- Build and optimize end-to-end ML pipelines from data preparation and model training through online serving and monitoring.
- Partner with product, engineering, and data teams to define problems and deliver scalable ML solutions.
- Design and analyze online and offline experiments to measure model quality and product impact.
- Improve relevance, engagement, conversion, retention, and marketplace efficiency.
- Evaluate new ML and LLM techniques and bring valuable approaches into production.
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, retrieval, learning-to-rank, recommendation, personalization, query understanding, intent classification, NLP, embeddings, semantic search, large language models, matching, marketplace optimization, or dispatch.
- Ability to work with large-scale or complex datasets and translate ambiguous problems into practical solutions.
- Strong collaboration and communication skills.
- Interest in building production systems serving real users and producing measurable product impact.
- Preferred experience deploying and maintaining ML models in production, experimentation, A/B testing, causal analysis, or marketplace experiments.
- Preferred familiarity with PyTorch, TensorFlow, Spark, Kubernetes, feature-serving platforms, or model-serving platforms.
- Preferred experience with taxonomies, user-interest representations, knowledge graphs, behavioral models, or LLM applications.
- Background in local search, local services, maps, commerce, marketplaces, delivery, mobility, or location-based products is advantageous.
Benefits
- Full-time position with an annual base pay range of $190,000-$300,000 USD.
- Potential eligibility for a discretionary bonus and equity or options.
- Role scope and level are calibrated to the candidate’s experience.
Tech Stack
Categories
About NewsBreak
NewsBreak builds a local-news aggregation and discovery platform for U.S. consumers on web and mobile, powered by recommendation systems and NLP. It partners with publishers and independent creators and monetizes primarily through advertising for local and national businesses. Founded in 2015 and headquartered in Mountain View, California, the platform serves over 40 million monthly active users and aggregates content from more than 10,000 sources.