Staff Data Scientist at AiDash

Palo Alto, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Climate Tech, Utilities, Transportation, ConstructionIndustries

Requirements

Minimum of 7 years of experience in data science with a proven track record of delivering high-value projects
Strong understanding of modern Computer Vision techniques, including feature extraction, object detection, segmentation, and multi-view geometry
Deep understanding and experience with Convolutional Neural Networks, Vision Transformers, Self-Supervised and Contrastive Learning, Foundation Models, Generative Models, Diffusion Models, and Graph Neural Networks (GNNs)
Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow
Experience working with large-scale visual datasets and pre-processing pipelines
Familiarity with GPU acceleration (CUDA, TensorRT) and optimizing models for real-time inference
Understanding of MLOps principles and practices

Responsibilities

Design, train, and optimize AI model architectures optimal for the application under consideration, using visual images, LiDAR, and other modalities
Collaborate with software engineers to deploy models into production pipelines and APIs
Conduct research and stay updated on state-of-the-art advancements in Computer Vision and AI
Use MLOps best practices to track experiments, version datasets, and optimize training pipelines

Skills

Key technologies and capabilities for this role

Computer VisionConvolutional Neural NetworksVision TransformersSelf-Supervised LearningContrastive LearningFoundation ModelsGenerative ModelsDiffusion ModelsGraph Neural NetworksMLOpsLiDAR

Questions & Answers

Common questions about this position

Is this position remote?

Yes, this is a fully remote position.

What is the salary for the Staff Data Scientist role?

This information is not specified in the job description.

What skills and experience are required for this role?

Candidates need at least 7 years of data science experience, strong knowledge of modern Computer Vision techniques like object detection and segmentation, proficiency in Python and frameworks like PyTorch or TensorFlow, experience with large-scale visual datasets, GPU acceleration, and MLOps principles.

What is the company culture like at AiDASH?

AiDASH is a climate tech startup recognized by Forbes as America’s Best Startup Employers for two years, Time Magazine as a Top GreenTech Company in 2024, and ranked No. 12 on Deloitte Technology Fast 500, indicating a focus on innovation, growth, and sustainability.

What makes a strong candidate for this Staff Data Scientist position?

A strong candidate will have 7+ years of data science experience delivering high-value projects, deep expertise in advanced AI techniques like CNNs, Vision Transformers, and GNNs, and hands-on skills in model deployment, MLOps, and working with visual data modalities like images and LiDAR.

AiDash

AI solutions for infrastructure management and sustainability

About AiDash

AiDash offers AI-driven solutions that assist industries in managing their infrastructure against climate change threats. Their main products include systems for vegetation management, sustainability management, integrity management, and climate risk intelligence, which utilize AI and satellite data to provide actionable insights. AiDash differentiates itself by focusing specifically on the needs of sectors with geographically distributed assets, such as utility and transportation companies. The company's goal is to enhance the efficiency and sustainability of critical infrastructure while reducing costs and risks associated with climate change.

Palo Alto, CaliforniaHeadquarters

2019Year Founded

$98.7MTotal Funding

SERIES_CCompany Stage

Data & Analytics, Energy, AI & Machine LearningIndustries

201-500Employees

Benefits

Health Insurance

Dental Insurance

Vision Insurance

Health Savings Account/Flexible Spending Account

401(k) Retirement Plan

Parental Leave

Paid Vacation

Risks

Growing competition from AI and satellite data companies may impact market share.

Potential regulatory changes could increase compliance costs for AiDash.

Economic downturns may affect AiDash's ability to secure future funding.

Differentiation

AiDash uses satellite data for real-time infrastructure monitoring and management.

Their AI-driven systems reduce vegetation management costs by up to 20%.

AiDash's solutions improve sustainability by cutting land and air costs by 70-90%.

Upsides

Increased adoption of AI solutions by utilities enhances grid reliability and reduces costs.

Successful Series C funding round raised $58.5 million, surpassing initial targets.

Strategic partnerships, like with AccuKnox, enhance data security and compliance.

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