What are the responsibilities and job description for the Principal Machine Learning Engineer position at AiDash AiDash Inc.?
About AiDash
Have you got what it takes to succeed The following information should be read carefully by all candidates.
AiDash is making critical infrastructure industries climate-resilient and sustainable with satellites and AI. Using our full-stack SaaS solutions, customers in electric, gas, and water utilities, transportation, and construction are transforming asset inspection and maintenance – and complying with biodiversity net gain mandates and carbon capture goals. Our customers deliver ROI in their first year of deployment with reduced costs, improved reliability, and achieved sustainability goals. Learn more at www.aidash.com.
We are a Series C climate tech startup backed by leading investors (including National Grid Partners, G2 Venture Partners, Lightrock, BGV, Marubeni, among others), and by our customers-turned-advocates (Duke Energy & National Grid Partners, 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”.
Join us in creating a greener, cleaner, and safer planet from space!
The Role
We are looking for a Principal Machine Learning Engineer to develop and enhance our ML infrastructure and platforms, streamlining the process of building, deploying, and monitoring machine learning models. In this role, you will work with cutting-edge technologies, rapidly expanding your knowledge and skills. You will collaborate with diverse teams across the company, and will see the direct impact of your contributions on our products and customers.
How you'll make an impact?
- Design and build scalable platforms for training and inference of ML models
- Develop and integrate data pre-processing and post-processing workflows for seamless model deployment
- Build robust model monitoring services on top of the inference platform to ensure optimal performance
- Create platforms for large-scale model evaluation and grading
- Develop advanced tools for model experimentation to accelerate innovation
- Design and implement sampling strategies to effectively assess model performance
- Oversee the entire ML lifecycle, including design, experimentation, development, deployment, monitoring, and maintenance
- Develop reusable workflows for Data Science models and integrate them with production systems, ensuring efficiency and minimal redundancy
- Deploy production-ready code and actively participate in code reviews to maintain high-quality standards
- Refactor services to improve code quality, runtime efficiency, and resource optimization
- Build automation and active learning frameworks to streamline model retraining processes
- Lead and mentor a team of software engineers, fostering a collaborative environment and providing guidance to help them reach their full potential
What we're looking for?
What you'll love :
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 $200,000 and $250,000 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.
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Salary : $200,000 - $250,000