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
Entefy Palo Alto, California, USA Office
Palo Alto, CA, Palo Alto, CA, United States, 94306
Similar Jobs
eCommerce • Retail
Leads merchandising and brand management across a multi-brand e-commerce portfolio. Owns assortment strategy, pricing, promotions, product content, catalog quality, margin governance, product marketing alignment, and new product development. Builds a unified, analytics-driven merchandising function; establishes operating processes and decision rights; manages product roadmaps and launches; partners with finance, sourcing, manufacturing, marketing, creative, technology, and operations to improve profitability, conversion, SKU productivity, and portfolio growth.
Top Skills:
Ai-Driven CommerceAttribute GovernanceDirect-To-Consumer (Dtc)E-CommerceMarketplace SyndicationProduct Information Management (Pim)Structured Product DataTaxonomy
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Leads strategic product design for AI/ML products that manage complex data and optimize organizational AI systems. The role drives end-to-end user experience, design languages, and frameworks across major initiatives; provides vision and design leadership to multidisciplinary teams; collaborates with engineering and product management; and influences product strategy, design practices, and the broader design community.
Top Skills:
AIData VisualizationMachine LearningWeb Applications
Artificial Intelligence • Fintech • Hardware • Information Technology • Sales • Software • Transportation
Leads Motive’s GTM Intelligence and Operations function, managing Salesforce and the broader revenue technology ecosystem. Oversees systems architecture, governance, integrations, licensing, budget, compliance, vendor evaluations, migrations, incident response, and CPQ processes. Manages and develops systems administrators and program owners while partnering with Sales, Marketing, Finance, Legal, Security, Procurement, and Enterprise Systems to support GTM initiatives, platform adoption, and operational continuity.
Top Skills:
Linkedin Sales NavigatorOutreachRevenue CloudSalesforceSalesforce CpqSalesloftZoominfo
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



