Staff Machine Learning / Perception Engineer

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!

The Role

As a Staff Machine Learning/Perception Engineer 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. 

How you'll make an impact:

• Design, train, and optimize AI model architectures optimal for the application under consideration, using visual images, lidar and other different modalities 
• 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) 
• 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 

What we're looking for:

• Minimum of 7 years of experience in data science with 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 
• 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 
• Knowledge of MLOps tools (MLflow, Weights & Biases) for managing training and deployment 
• Strong problem-solving and analytical skills with the ability to work in a collaborative environment 
• Master’s or Ph.D. in Computer Science, AI, Machine Learning, or a related field 

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) 

What you'll love:

• Comprehensive Medical, Dental, and Vision Coverage: 100% coverage for employees and 80% for their spouses and children 
• Health Reimbursement Account (HRA): 100% funded by AiDASH to cover medical deductibles 
• 401(k) Plan: Begin contributing after three months of employment to prepare for your future. Currently, no company match is offered 
• Parental Leave: Supportive parental leave with 16 weeks for primary caregivers and 4 weeks for secondary caregivers 
• Generous Vacation Policy: Accrue 20 vacation days per year, plus enjoy an additional flex holiday to celebrate whatever feels most important to you!
• Winter Break: From December 25th through January 2nd, we give everyone time off to recharge and enjoy time with family and friends!

We are proud to be an equal-opportunity employer. We are committed to embracing diversity and inclusion in our hiring practices, and we promote a work environment where everyone, from any race, color, religion, sex, sexual orientation, gender identity, or national origin, can do their best work. 

We offer a competitive base pay range for this full-time position, which is between $190,000 and $230,000 per year. This range reflects the anticipated base salary for new hires. We strive to ensure our compensation packages are equitable and aligned with industry standards. Your recruiter can share more about compensation during the hiring process.

We are committed to providing an inclusive and accessible interview experience for all candidates. Please let us know if you require any accommodation during the interview process, and we will make every effort to meet your needs.