Computer Vision Engineer at Observable

Los Angeles, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Aerospace, Space TechnologyIndustries

Requirements

Masters degree in Engineering, Mathematics, or a related field of study, or equivalent professional experience
Strong foundation in mathematics or computational mathematics
Strong and demonstrated programming ability in C++ or C in a professional environment
Experience in machine learning model training using PyTorch or TensorFlow
Experience in classical vision techniques with an emphasis on OpenCV
Demonstrated experience in first principles engineering and science
Detail-oriented with the ability to manage and execute complex, multidisciplinary research projects
Preferred Qualifications
Ph.D. in Engineering, Mathematics, or a related field of study
Knowledge or experience in astrodynamics

Responsibilities

Evaluate, train, and customize combination models based on state of the art backbones (Unet, vision transformer, resenet, etc)
Own our image processing pipelines from end to end - from camera sensor readout to publishing extractions to our cloud data warehouse
Design and generate simulated data for rapid testing of proof of concept algorithms
Coordinate with operations and engineering teams to gather real-world data for validating algorithms against synthetic test cases
Lead complex multidisciplinary research projects, ensuring detailed and rigorous scientific processes
Stay abreast of the latest advancements in SDA/SSA, Photometry, and novel image processing techniques by regularly reviewing research papers and publications
Collaborate with software development teams to conceptualize, develop, and implement proof of concept based on cutting-edge research
Effectively communicate complex research findings to both technical and non-technical stakeholders, providing clear and concise insights

Skills

Computer Vision

U-Net

Vision Transformer

ResNet

Image Processing

Machine Learning

Synthetic Data Generation

Photometry

SDA

SSA

Observable

Collaborative platform for data visualization

About Observable

Observable provides a platform for data visualization and analytics, allowing users to create, share, and explore data through interactive notebooks. These notebooks are web-based documents that integrate code, data, and visualizations, enabling real-time data manipulation. The platform caters to data scientists, analysts, developers, and educators, making it especially beneficial for academic settings. Users can utilize various templates and examples to enhance their data visualization skills. Observable operates on a freemium model, offering basic features for free while charging for advanced features and services, which appeal to businesses and professional teams. The company also fosters a supportive community through forums and a Slack channel, encouraging collaboration and knowledge sharing among users.

San Francisco, CaliforniaHeadquarters

2017Year Founded

$44.8MTotal Funding

SERIES_BCompany Stage

Data & Analytics, Consumer Software, EducationIndustries

11-50Employees

Risks

Freemium model faces competition from robust free features of Google Data Studio and Power BI.

Observable Cloud may face adoption hurdles if users resist migrating from current setups.

Pressure from investors for rapid growth may lead to strategic shifts alienating users.

Differentiation

Observable allows developers to build custom dashboards using code, unlike legacy BI tools.

The platform offers live, collaborative notebooks for real-time data exploration and iteration.

Observable's open-source framework supports any language or library for instant data app creation.

Upsides

Integration with AI-driven tools enhances insights generation and data interpretation capabilities.

The rise of low-code platforms could expand Observable's user base beyond developers.

Increasing demand for real-time analytics in finance and healthcare presents new opportunities.

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