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
Other • Utilities
Prospect and acquire small and medium-sized business customers within an assigned territory. Generate leads through cold calling, networking, and prospecting; assess customer needs; recommend wireless solutions; negotiate and close deals; manage sales funnels and forecasts; and grow the customer base while meeting monthly sales targets.
Top Skills:
Sales Force AutomationWireless Telecommunications
Cloud • Information Technology • Machine Learning
Lead state government affairs across Texas and Southeast states, shaping legislative and regulatory outcomes affecting AI infrastructure, data centers, energy, tax, and economic development. Build bipartisan relationships with policymakers, develop state engagement plans, monitor policy developments, conduct research, coordinate internal stakeholders, build coalitions, and represent CoreWeave at hearings and industry events. The role is remote in Texas with 40–50% travel throughout the region.
Top Skills:
AICloud ComputingData Centers
Automotive
Manage enterprise AI platforms, including configuration, licensing, capacity, agent deployment, user onboarding, governance, security, compliance, monitoring, lifecycle management, and cost tracking. Partner with developers, architects, cybersecurity, legal, privacy, HR, and business teams to operate AI tools reliably. Establish standards for AI application lifecycle management, source control, deployment automation, release processes, access controls, and operational documentation.
Top Skills:
AnthropicC#Google GeminiJavaMicrosoft CopilotPowershellPython
What you need to know about the Colorado Tech Scene
With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.
Key Facts About Colorado Tech
- Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
- Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
- Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
- Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute
