Entefy Logo

Entefy

ML Engineer - NLP (Remote Position)

Reposted 2 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 

Top Skills

C
C++
Caffe
Corenlp
Gate
Gensim
Hadoop
Java
Keras
Mapreduce
Mllib
Nltk
Opennlp
Python
Spacy
Spark
Storm
TensorFlow
Theano
Torch
Uima
HQ

Entefy Palo Alto, California, USA Office

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

Similar Jobs

31 Minutes Ago
Remote
United States
54K-98K Annually
Junior
54K-98K Annually
Junior
Beauty • Robotics • Design • Appliances • Manufacturing
Support product management and development for Ninja Business by assisting with new product launches, market research, and cross-functional team collaboration.
Top Skills: ExcelMicrosoft PowerpointMicrosoft WordSharepoint
31 Minutes Ago
Remote
United States
131K-230K Annually
Senior level
131K-230K Annually
Senior level
Beauty • Robotics • Design • Appliances • Manufacturing
The Director of Program Management at SharkNinja will lead program managers and coordinate cross-functional teams to ensure timely product development and delivery while adopting a consumer-first approach.
32 Minutes Ago
Remote or Hybrid
125K-177K Annually
Mid level
125K-177K Annually
Mid level
Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
As a Product Owner II, manage complex products and initiatives, drive alignment across teams, and leverage AI for underwriting innovation while ensuring clarity and measurable business outcomes.
Top Skills: Agile MethodologiesAIAnalyticsData ScienceMachine Learning

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