10 часов назад
Senior Machine Learning Engineer (Recommendation & AI Applications)
195 000 - 230 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Machine Learning Engineer (Recommendation & AI Applications): Building and optimizing large-scale recommendation, retrieval, and ranking systems serving tens of millions of users, with an accent on low-latency inference, personalization, and LLM applications. Focus on owning the full machine learning lifecycle from offline training through online experimentation, solving data quality and model drift issues, and taking 0–1 AI projects into production.
Location: Mountain View, California, United States
Annual base pay range: $195,000–$230,000 USD, with potential discretionary bonus and options.
Company
is a content intelligence platform delivering personalized local news and information to more than 40 million monthly active users through AI, recommendation systems, and adtech.
What you will do
- Design, build, and improve high-throughput, low-latency recommendation systems for core feeds.
- Develop retrieval, ranking, embeddings, user and item modeling, and multi-objective optimization.
- Own the machine learning lifecycle from offline training and online inference through A/B experimentation and metric analysis.
- Apply LLMs and foundation models to content understanding, user intent modeling, and feature generation.
- Identify and resolve production issues involving data quality, model drift, and system performance.
- Prototype 0–1 AI-powered products and move successful concepts from exploration to MVP and production.
Requirements
- 3+ years of industry experience building machine learning or recommendation systems in production.
- Strong understanding of recommendation system fundamentals, including ranking, embeddings, user/item modeling, and experimentation.
- Strong coding skills in Python, Java, or Scala.
- Experience with PyTorch or TensorFlow and large-scale data and ML systems such as Spark, distributed training, or real-time inference.
- Ability to own features end-to-end and deliver measurable business impact.
Nice to have
- Production experience applying AI or LLMs to recommendation systems.
- Experience contributing to 0–1 AI or ML-driven products.
- Familiarity with AI-assisted development tools and workflows.
Culture & Benefits
- Health, dental, and vision coverage for employees and families, with 100% employee coverage.
- 401(k) plan with company matching.
- Paid time off and paid holidays.
- FSA, HSA, and commuter benefits programs.
- Team activity budget.
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