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.
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
Similar Jobs
Artificial Intelligence • Productivity • Software • Automation
As a Senior Fullstack Engineer, you'll design and maintain authentication and session systems, ensure secure user sessions across services, and develop APIs for enterprise authentication controls. You'll drive infrastructure for scaling and reliability while facilitating collaboration with internal teams and addressing customer security requirements.
Top Skills:
Ci/CdDjangoFastifyJwtKubernetesNode.jsOauthOidcPythonSAMLScimTerraform
Healthtech • Logistics • Pharmaceutical
The Engineer II monitors and investigates insider threats, administering DLP systems, developing detection rules, and collaborating with various teams.
Top Skills:
Behavioral AnalyticsCybersecurityData Loss Prevention (Dlp)User Activity Monitoring
Enterprise Web • Fintech • Marketing Tech • Software
The Senior Platform Release Engineer will design and operate CI/CD pipelines, manage AWS EKS clusters, implement infrastructure-as-code, enhance observability, and ensure security compliance while collaborating with cross-functional teams.
Top Skills:
AWSBashDockerEksGitlabGoGrafanaKubernetesPrometheusPythonTerraform
What you need to know about the Boston Tech Scene
Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories
