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
Financial Services
Drive new business for Chase Travel by managing the full B2B sales cycle, including prospecting, discovery, solution development, presentations, negotiation, closing, and onboarding support. Build pipeline through outreach, referrals, cross-selling, and industry events. Use CRM tools, market research, and performance data to refine sales strategies, identify trends, and improve outcomes while collaborating with internal teams and supporting operational initiatives.
Top Skills:
Customer Relationship Management (Crm) SoftwareData Analytics
Financial Services
Own the full B2B sales cycle for Chase Travel, from prospecting and discovery through negotiation, closing, and onboarding support. Build relationships with decision-makers, deliver tailored travel solution pitches, manage pipeline activity and forecasting, analyze sales performance, and partner with internal teams to support post-sale success. Represent Chase Travel at industry events and contribute to training and operational improvements.
Top Skills:
Customer Relationship Management (Crm) Tools
Financial Services
Own B2B corporate travel sales from prospecting through contract execution and onboarding. Build pipeline, qualify leads, develop tailored solutions, present proposals, negotiate contracts, and close new business across small, mid-sized, and enterprise clients. Maintain CRM data and forecasts, analyze market trends, coordinate implementations, represent the business at industry events, and support client retention, expansion, and sales enablement.
Top Skills:
Crm Tools
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
