Job description
Machine Learning Engineer
Position: Full time
Location: Carlsbad office
About Us:
NTENT provides a Platform-as-a-Service (PaaS), allowing industry partners to customize, localize and integrate search technologies directly into their business-to-consumer offerings. We are a unique group of brilliant minds intent on discovering, learning and building. We work in a vibrant atmosphere, with an emphasis on personal and professional development. This is an opportunity to tackle complex problems usually reserved for a handful of large companies in the search industry.
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).
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 API's 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 ideal candidate will be self-motivated, possess excellent communication skills (both oral and written) and be able to work independently. A keen interest in various aspects of natural language processing is essential in our multi-disciplinary team.
We offer a full comprehensive benefits package including medical, dental and vision. Employees receive a generous time off (PTO) plan and 13 holidays per year. We also offer 401(k) benefits, long term disability benefits and life.
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