AI/ML Job: Machine Learning/NLP Engineer

Alpha

Machine Learning/NLP Engineer at Alpha

NYC, New York, United States 🇺🇸   (Posted Aug 1 2018)
About the company
Alpha's platform enables management teams at the world's leading organizations (Aetna, Citi, Experian, etc.) to make data-driven decisions about users, products, and markets.

Job position
Permanent

Job description
Alpha is a venture-backed start-up based in New York, NY and our platform enables management teams to make data-driven decisions about users, products, and new markets.

At Alpha we are passionate about enabling teams to make data-driven decisions about users, products, and new markets. We believe the best path there involves more shots on goal – by vastly accelerating our clients’ abilities to learn we can help them build better products faster. We’re looking for a talented Machine Learning/NLP Engineer with a strong appreciation for simple, effective architecture and rapid experimentation. This position is full-time and on-site at our SoHo (NYC) office.

Responsibilities:

- Independently work on end-to-end development of NLP models to derive insights from text- Lead NLP projects and develop models in collaboration with team members

- Mentor less experienced members of the team

- Work with stakeholders to refine requirements and communicate progress

- Work with the team to develop a system for semantic search, entity recognition, knowledge graph creation, transcription, paraphrase detection, question answering etc.

- Train deep learning models with internal and external NLP datasets

- Deploy models to production and monitor performance

- Develop original ideas to create cognitive systems

- Participate in internal and external forums

Skills & requirements
REQUIREMENTS

- 3+ years of NLP experience

- MS in Computer Science with NLP specialization. PhD preferred

Helpful to have:

- Extensive experience in applying different NLP techniques to problems such as sentence summarization, question answering, sentiment analysis, knowledge extraction and conversational bots

- Expertise in NLP methods such as LSA, LDA, Semantic Hashing, Word2Vec, LSTM, BiDAF etc.

- Strong command over linear algebra and statistics having the ability to quickly translate ideas to efficient, elegant code

- Development experience in Python or Java/Scala with good command over respective data pipelining, matrix algebra and statistics libraries

- Stanford CoreNLP and other NLP tool kits

- Deep learning programming experience with Python/Tensorflow or similar library in a GPU environment

- Experience working with external reference datasets like SQUAD, SemEval, MSRP, WikTable, WikiQA, AllenAI etc.

- Tuning and optimization of sequential deep learning models

- Model deployment and scaling experience

Instructions how to apply
see the website
[ job website ]

Let them know you found the job via https://Jobhunt.ai
(Companies love to know recruiting strategies that work)
 

Other jobs that might be interesting

Swish ML Engineer - Swish   (November 2018)
San Francisco, California, United States (Remote possible)
Use your extensive knowledge of machine learning to transform the way enterprises run their businesses. With a healthy pipeline of projects ranging from insurance modeling, call center automation, social listening, and text analytics, we are looking to bring o...
G2 Inc Machine Learning Engineer - G2 Inc   (November 2018)
Annapolis Junction, Maryland, United States
Come be a part of a team applying cutting edge Machine Learning to the cybersecurity domain! We will use state of the art ML techniques (Neural Nets, Gradient Boosting, etc.) to model behaviors, detect anomalies, cluster data, and ultimately create actionable...
Element AI Research Scientist - Machine Learning - Element AI   (November 2018)
Montreal, Canada
The research scientists are working under the leadership of the Chief Science Officer to promote the role of fundamental research to advance AI, and ensure that Element AI has access and contributes to the best science. Element AI wants to carry out fundament...
 
About Jobhunt.ai