Machine Learning Engineer

Location: Carlsbad, California OR Fully Remote

About the Opportunity: 

We are looking for a talented Machine Learning Engineer to join our team and deliver machine learning-driven products. The right candidate will work on development, deployment, and lifecycle management of machine learning models for various large-scale applications (natural language understanding, web search and ranking, recommendation, personalization, dialog/conversation management). 

From your first day, you will make a valuable — and valued — contribution. We are a fast-growing company where no one is a bystander. We offer you the opportunity to delight millions of consumers around the world while gaining meaningful experience across a variety of disciplines. 

Keywords: 

Machine learning, natural language processing, learning-to-rank, online learning, deep learning, interactive machine learning, machine teaching, conversational agents, human computer interaction 

Duties and Responsibilities: 

• Design, implement, and deploy machine learning algorithms. 
• Manage machine learning algorithm lifecycle. 
• Coordinate data collection and annotation efforts. 
• Work with real-time data and content coming from various data sources. 
• Manage machine learning data pipelines.  
• Design tests for machine learning algorithm effectiveness and performance monitoring. 
• Design tools and interfaces for interactive machine learning and teaching. 
• Research and development on cutting-edge machine learning technologies. 

Qualifications and Skills: 

• Graduate degree in Computer Science with a strong background in machine learning required. 
• Strong problem-solving abilities, solid background in algorithms and data structures required. 
• Strong programming skills in Python and Scala required. Experience in other programming languages (eg. Java, R, Haskell) a plus. 
• Solid knowledge of machine learning tools (eg. scikit-learn, tensorflow, keras, pytorch, Spark MLlib) required. 
• Experience with distributed and streaming data technologies (eg. Hadoop, Spark, Kafka) required. 
• Experience with building and deploying APIs with Docker and Kubernetes required. 
• Experience with natural processing tasks (eg. named entity recognition, language modeling, vector representations) required. 
• Experience with Elastic Search, Lucene a plus but not required. 
• Experience with ranking algorithms a plus but not required. 
• Experience with interactive machine learning (eg. active learning, reinforcement learning, machine teaching) a plus but not required. 

The US base salary range for this role is between $160,000 and $220,000 annualized plus bonus, equity value (where applicable) and benefits. Your base pay will depend on your experience, location, skills and qualifications.