Entefy Logo

Entefy

ML Engineer - NLP (Remote Position)

Reposted 22 Days Ago
Remote
Mid level
Remote
Mid level
The ML Engineer will leverage deep learning for natural language processing tasks, impacting Entefy's products while requiring strong machine learning fundamentals and NLP expertise.
The summary above was generated by AI
If you’re fluent in natural language processing, you may be the hyper-talented Machine Learning Engineer that’s going to help Entefy rewrite the code of human communication.

We are looking for a talented and driven NLP specialist to join a high-impact team at the core of Entefy’s mission. You will use deep learning and other methods to work on confidential projects that will impact Entefy’s suite of products. This is highly challenging work that will engage your deep understanding of algorithms to build never-before-seen machine intelligence.

Requirements:

  • Solid fundamentals in mathematics, statistics, and machine learning theory
  • Minimum 3 years of commercial experience (or equivalent) in natural language processing, understanding, or generation
  • Demonstrable proficiency in at least one programming language such as Python, C, C++, Java, etc.
  • Proficient knowledge of and experience with text analytics, knowledge base construction, machine translation, or dialog systems
  • Proficiency in natural language processing tools such as NLTK, CoreNLP, Gensim, spaCy, OpenNLP, UIMA, GATE, etc.
  • Proficiency in machine learning tools such as TensorFlow, Keras, Caffe, Theano, MLLib, Torch, etc.
  • English fluency
  • Excellent written and verbal communication skills

Other qualifications:

  • Experience with modern deep learning techniques in NLP including sequence to sequence models, distributed representations, pointer networks, attentional models, etc.
  • Advanced degree in Computer Science, Machine Learning, Mathematics, Statistics, Physics, or Computational Linguistics
  • Experience with text-based information retrieval technologies such as Lucene, Solr, Elasticsearch, etc.
  • Experience with big data and distributed computing technologies such as Hadoop, MapReduce, Spark, Storm, etc.
  • Fluency in multiple languages is a plus
  • Demonstrable proficiency in more than one applicable programming languages is a plus

Visit www.entefy.com and www.entefy.com/blog 

HQ

Entefy Palo Alto, California, USA Office

Palo Alto, CA, Palo Alto, CA, United States, 94306

Similar Jobs

23 Minutes Ago
In-Office or Remote
Senior level
Senior level
Artificial Intelligence • Fintech • Information Technology • Logistics • Payments • Business Intelligence • Generative AI
The Senior Manager will oversee the end-to-end Lead-to-Opportunity lifecycle, manage a technical team of Salesforce Developers and BSAs, and ensure system scalability and accuracy while fostering a collaborative culture.
Top Skills: ClariLeandataMarketoSalesforceSnowflakeTableauZoominfo
23 Minutes Ago
Easy Apply
Remote
United States
Easy Apply
169K-240K Annually
Senior level
169K-240K Annually
Senior level
Big Data • Fintech • Mobile • Payments • Financial Services
Oversee high-visibility technical programs, streamline processes for product development, coordinate across teams, evaluate risks, and communicate with stakeholders.
Top Skills: Computer ScienceElectrical Engineering
24 Minutes Ago
Easy Apply
Remote
United States
Easy Apply
200K-275K Annually
Senior level
200K-275K Annually
Senior level
Big Data • Fintech • Mobile • Payments • Financial Services
The Manager of Software Engineering will lead the Developer Environments team, enhancing developer productivity through effective environment provisioning and CI/CD workflows while mentoring engineers and implementing system reliability improvements.
Top Skills: AWSBuildkiteCi/CdDockerGithub ActionsHelmJenkinsKotlinKubernetesPythonTerraform

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account