Remote Computer Vision Engineer Jobs
AI Startup
San Francisco, CARemote OKFull-time$140k – $220k / year
About this role
Remote Computer Vision Engineer Jobs | Turing Jobs
Remote Computer Vision engineer jobs
We, at Turing, are hiring remote Computer Vision engineers who can research, analyze and process large volumes of data using computer vision and segmentation techniques and automate predictive decision-making efforts. Accelerate your career by working with elite U.S companies from the comfort of your home.
Apply for this job
Find remote software jobs with hundreds of Turing clients
Job description
Job responsibilities
- Manage the processing and analysis of large data sets by collaborating with data science engineers
- Use statistics, supervised learning, and computer vision libraries to solve real-world problems
- Develop, evaluate, and optimize deep learning and computer vision models to meet business requirements
- Use image processing techniques to analyze unstructured data
- Design and develop image analysis algorithms and frameworks for image processing and visualization
- Automate predictive decision making efforts in the organization
Minimum requirements
- Bachelor’s/Master’s degree in Engineering, Computer Science, or IT (or equivalent experience)
- At least 3+ years of experience as a Computer Vision engineer (rare exceptions for highly skilled engineers)
- Proficiency in computer vision and deep learning algorithms
- Working knowledge of object detection, tracking, semantic or instance segmentation
- Experience with ML frameworks like PyTorch, Keras, or Tensorflow
- Proficiency in training models using NVIDIA or cloud technologies
- Expertise in Python and related technologies like PIL, NumPy, OpenCV, seaborn, etc.
- Proficiency in object-oriented programming languages and frameworks
- Fluency in English to collaborate with engineering managers
- Work full-time (40 hours/week) with a 4 hour overlap with US time zones
Preferred skills
- Ability to transform data researches into working product models
- Familiarity with GPU computing or clo