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Spotter
Culver City, CA, United States
Overview Spotter, named one of TIME100's Most Influential Companies this year, empowers top YouTube creators to accelerate their business and unleash their full creative potential by giving them access to the capital, knowledge, and community they need to succeed at scale. As the top provider of creator-friendly growth capital, Spotter tailors our
Job Source: SpotterEsri
Los Angeles, CA, United States
Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company’s three core products are Snapchat , a visual mess
Job Source: EsriHeyGen
Los Angeles, CA, United States
Research Scientist, Computer Vision at HeyGen Driving Product Innovation with Advanced Computer Vision Technology HeyGen is a dynamic startup at the forefront of revolutionizing video content with state-of-the-art artificial intelligence technology. With a robust track record of growth and a proven business model, we are rapidly carving out a lea
Job Source: HeyGenHitalent
Los Angeles, CA, United States
Lead and execute a multi-year research agenda Share your expertise with other teammates and interns Publish your work to top conferences Partner with engineering teams to deliver your technology to millions of Snapchatters Knowledge, Skills, & Abilities: Strong technical knowledge of statistics, machine learning, vision and state-of-the-art deep le
Job Source: HitalentSpotter
Culver City, CA, United States
Overview: Spotter, named one of TIME100's Most Influential Companies this year, empowers top YouTube creators to accelerate their business and unleash their full creative potential by giving them access to the capital, knowledge, and community they need to succeed at scale. As the top provider of creator-friendly growth capital, Spotter tailors ou
Job Source: SpotterStealth Startup
El Segundo, CA, United States
Early stage opportunity at defense tech startup building life-saving technology in Los Angeles. Hiring a computer vision engineer with 5+ years of experience in sensors, classical CV, and ML, with expertise in embedded software and sensor fusion. Prior work full stack sensing systems, military applications, and autonomy preferred. US citizenship or
Job Source: Stealth StartupDeepRec.ai
Los Angeles, CA, United States
Position: Senior Computer Vision Engineer Location : Los Angeles Work Arrangement: On-Site Visa Status: US Citizen Summary: This role is focused primarily on computer vision algorithm development, but will allow you to work across multiple domains such as, displays, cameras, control, calibration, user experience, and optics. Day to day respons
Job Source: DeepRec.aiUS Air Force
Los Angeles, CA, United States
Summary Click on "Learn more about this agency" button below to view Eligibilities being considered and other IMPORTANT information. The primary purpose of this position is to perform a variety of duties in the General Engineering field and to complete developmental assignments and training outlined in the formal training and developmental plan. Re
Job Source: US Air Force, CA, United States
Senior Data Scientist, Computer Vision sought by ZEFR, Inc. in Los Angeles, CA
What we do: Zefr is the global leader in brand suitability targeting and measurement across the world's largest platforms. Zefr’s technology is helping to power the age of responsible marketing by putting advertisers in control of their content adjacencies based on their own unique brand safety and suitability preferences, mapped to the Global Alliance of Responsible Media's (GARM) industry standards. As an official YouTube Measurement Program Partner, Meta for Business Partner, and TikTok for Business Partner, the company leverages patented machine learning and AI technology (Cognition AI) to offer brands and agencies more precise and transparent brand safety and suitability activation and measurement solutions on scaled platforms. The company is headquartered in Los Angeles, California, with additional locations across the globe.
Duties: Design and optimize large-scale systems that ingest, process, label, index, and store vast amounts of image and video data on social media platforms like YouTube, Facebook, and TikTok. Leverage computer vision, machine learning, and deep learning concepts to design, implement, test, and deploy various machine learning and computer vision models to ZEFR’s patented Cognition AI technology which will ‘learn from’ and understand hundreds of millions of videos through ‘big data’ analysis and extract useful content-related (e.g., licensed content) data that offer brands and agencies more accurate measurement solutions. Contribute to ZEFR’s rapidly growing data management demands to keep the company at the forefront in providing content adjacency solutions for content owners and brands in accordance with industry standards like the Global Alliance of Responsible Media (GARM) framework. Analyze and utilize visual data by applying various Computer Vision techniques to develop software requirements and solutions. Utilize natural language and image processing algorithms to improve data analysis and cultivation. Build mathematical and statistical models to analyze data and to identify visual content. Architect a semantic search engine for image and text embeddings to enable discovery and sourcing. Scale the pipeline to enable the processing of large quantity of videos. Integrate models into a large-scale engineering system including automatic retraining and model deployment based on user feedback. Translate data requirements of stakeholders to produce well-written, clean, and predictive computer vision models, both supervised and unsupervised. Prototype creative solutions quickly, testing theories, evaluating feature concepts, and iterating the processes rapidly. Develop end-to-end machine learning pipelines for large data sets from data exploration, feature engineering, model building, performance evaluation, to online testing.
Requirements: Master’s degree, or equivalent, in Data Science, Information Technology, Statistics, Mathematics, or related field plus two (2) years of data science, data engineering, software engineering, or related Experience including one (1) year of experience: utilizing deep learning for image analysis; building footprints segmentation to ensure high IoU score and data accuracy; implementing complex deep learning architectures; implementing semantic segmentation model architectures; optimizing computer vision algorithms; synchronizing parameters across multiple graphics processing units (GPUs); integrating machine learning models into real-world applications; collaborating with cross-functional teams to deliver segmentation and classification solutions; and utilizing various machine learning related technologies such as Python, C++, MxNet, and Caffe. Telecommuting permissible.
Salary: $210,000/year
To Apply: Send Resume to: Chris Dale, Director, Human Resources, ZEFR, Inc., 4101 Redwood Avenue, Los Angeles, CA, 90066 or email [email protected].
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Email Alert for Data Scientist, Computer Vision jobs in , CA, United States
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