The Machine Learning Engineer will work on unstructured data classification and clustering, utilizing their expertise in AI systems and various programming languages.
Entefy’s Machine Learning Engineer is a highly visible position internally and externally. This is where your deep experience and great insights intersect with an amazing opportunity to shape the future of communication and digital interaction.
Skills and Experience:
We’re not looking for “good.” Entefy is on a mission for best. The success of this mission depends on its team members to be creatively analytical, insatiably curious, and absolutely fearless in tackling big challenges.
Requirements
- 5+ years of experience in Machine Learning tools and algorithms specially in unstructured data classification and clustering.
- Demonstrable expertise in MATLAB.
- Proficient knowledge of and experience with AI systems.
- Demonstrable expertise in multiple programming languages such as Python, C++, Java, etc.
- Fluency in English and, at least, 1 other language.
- Masters or PhD in Computer Science in Machine Learning or related field preferred.
- Proficiency in Machine Learning open source tools.
- Proficiency in Machine Translation.
- Proficiency in Social Text Mining.
- Proficiency in SQL and non-SQL database.
- Proficiency in Data Visualization tools.
Visit www.entefy.com and www.entefy.com/blog
Top Skills
Ai Systems
C++
Data Visualization Tools
Java
Machine Learning
Matlab
Python
SQL
Entefy Palo Alto, California, USA Office
Palo Alto, CA, Palo Alto, CA, United States, 94306
Similar Jobs
Artificial Intelligence • Big Data • Internet of Things • Software
The Senior Machine Learning Engineer will utilize deep experience and insights to enhance communication and digital interactions through advanced machine learning tools and algorithms, focusing on unstructured data.
Top Skills:
C++Data VisualizationJavaMachine LearningPythonSQL
Artificial Intelligence • Big Data • Internet of Things • Software
As a Machine Learning Engineer in Computer Vision, you'll develop AI solutions using advanced algorithms, focusing on image classification, segmentation, and video processing tools.
Top Skills:
CC++CaffeFfmpegGraphicsmagickJavaKerasMllibOpencvPil/PillowPythonSimplecvTensorFlowTheanoTorch
Artificial Intelligence • Big Data • Internet of Things • Software
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.
Top Skills:
CC++CaffeCorenlpGateGensimHadoopJavaKerasMapreduceMllibNltkOpennlpPythonSpacySparkStormTensorFlowTheanoTorchUima
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
