Staff Data Scientist at AiDash
Palo Alto, California, USA -
Full Time


Start Date

Immediate

Expiry Date

29 Jun, 25

Salary

190000.0

Posted On

29 Mar, 25

Experience

7 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Computer Vision, Aws, Azure

Industry

Information Technology/IT

Description

ABOUT AIDASH

AiDASH is making critical infrastructure industries climate-resilient and sustainable with satellites and AI. Using our full-stack SaaS solutions, customers in electric, gas, water utilities, transportation, and construction are transforming asset inspection and maintenance - and complying with biodiversity net gain mandates and carbon capture goals. AiDASH exists to safeguard critical infrastructure and secure the future of humanAIty™. Learn more at www.aidash.com
We are a Series C climate tech startup backed by leading investors, including Shell Ventures, National Grid Partners, G2 Venture Partners, Duke Energy, Edison International, Lightrock, Marubeni, among others. We have been recognized by Forbes two years in a row as one of “America’s Best Startup Employers.” We are also proud to be one of the few climate software companies in Time Magazine’s “America’s Top GreenTech Companies 2024”. Deloitte Technology Fast 500™ recently ranked us at No. 12 among San Francisco Bay Area companies, and No. 59 overall in their selection of the top 500 for 2024.
Join us in Securing Tomorrow!

PREFERRED QUALIFICATIONS:



    • Experience with 3D Computer Vision, LiDAR processing, or multi-modal AI

    • Hands-on experience with generative models, contrastive learning, and neural rendering
    • Exposure to transformer-based architectures and masked autoencoders
    • Knowledge of cloud-based AI deployment (AWS, Azure, or GCP)
    Responsibilities

    As a Staff Data Scientist at AiDASH, you will play a critical role in designing, training, and optimizing AI model architectures that leverage multiple modalities, including visual images, LiDAR, and other data sources. Your work will focus on applying cutting-edge techniques in computer vision, machine learning, and artificial intelligence to solve complex real-world problems, while ensuring these models are scalable and deployable in production environments.

    Loading...