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.
Entefy’s vision is simplifying how people interact digitally. To make it happen, we’re seeking computer vision-aries. Our hyper-talented Product team is seeking a Machine Learning and AI expert with the skills to redefine how computers make sense of the visual world.
In this role you will utilize the latest techniques in artificial intelligence and computer vision, working 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.
Skills and Experience:
Not everyone takes the time to achieve excellence. Not everyone has the drive for one more try. Entefy is searching for the best because we’re building first-of-its-kind AI communication technology to make the world the best place it can be. If you’re creatively analytical, insatiably curious, fearless in tackling big problems, and can demonstrate excellence in computer vision, then you’ve earned yourself an interview with our team.
Requirements:
- Solid fundamentals in mathematics, statistics, and machine learning theory
- Minimum 3 years of commercial experience (or equivalent) in computer vision
- Demonstrable proficiency in at least one applicable programming language such as Python, C, C++, Java
- Proficient knowledge of and experience with image classification, segmentation, or captioning
- Proficiency in image/video processing and computer vision tools such as PIL/Pillow, GraphicsMagick, FFmpeg, OpenCV, SimpleCV, etc.
- Proficiency in machine learning tools such as TensorFlow, Keras, Caffe, Theano, MLLib, Torch, etc.
Other Qualifications
- Experience with modern deep learning techniques in CV including convolutional networks, residual networks, attentional models, etc.
- Strong written and verbal communication skills
- Advanced degree in Computer Science, Machine Learning, Mathematics, Statistics, Physics, or Computational Linguistics
- Experience with parallel computing technologies such as OpenMP, CUDA, OpenACC, MPI
- Experience with big data and distributed computing technologies such as Hadoop, MapReduce, Spark, Storm, etc.
- Demonstrable proficiency in more than one applicable programming languages is a plus
Visit www.entefy.com and www.entefy.com/blog
Similar Jobs
Consumer Web • eCommerce • Machine Learning • Software • Sports • Analytics
The Social Media Coordinator will manage and deploy content across multiple platforms, execute social media campaigns, analyze performance metrics, and work with creative teams to maintain a content calendar, enhancing brand presence in the collectibles community.
Top Skills:
Hootsuite InsightsLaterSprinklrSprout Social
Consumer Web • eCommerce • Machine Learning • Software • Sports • Analytics
The Community Engagement Associate manages customer interactions across social media and community channels, develops customer acquisition strategies, and enhances brand visibility. They collaborate with marketing and customer support, drive community engagement, and assist in content management for PSA's social media.
Top Skills:
Sprinklr
Information Technology • Cybersecurity
As a Senior Offensive Security Engineer, you'll assess Huntress' defenses, execute red team engagements, conduct penetration tests, and enhance security protocols while collaborating with internal teams.
Top Skills:
AWSAzureGenerative Ai PlatformsScripting Languages
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

.png)
