Senior Cloud Machine Learning Engineer
4 weeks ago
Cyvl is a Boston-based tech startup that is revolutionizing the way civil engineering firms and governments map and manage transportation infrastructure.
Our enterprise-grade hardware and software solutions leverage 3D mapping sensors to capture LiDAR, imagery, and GPS data, which is then retrofitted to our customers' vehicles.
This data is processed through our AI-powered cloud pipelines to generate actionable condition and geospatial reports, saving our customers time, money, and resources.
As a Senior Machine Learning Engineer, you will play a critical role in developing and implementing machine learning models that power our product offerings.
You will lead a team of skilled engineers, collaborating closely with data scientists, software developers, and product managers to design, build, and deploy scalable ML solutions.
Your work will involve researching new methodologies, optimizing existing models, and ensuring the robustness and reliability of our machine learning systems in production.
Key Responsibilities:
- Coordinate development efforts with other ML / Data Scientists on the team
- Ensure robust deployment and monitoring of models using best practices
Requirements:
- 6+ years in machine learning, with a focus on computer vision and deep learning
- Experience in the full ML lifecycle, including deployment and monitoring, with a focus on MLOps practices
- Experience leading ML development projects
- Master's degree in Computer Science or a relevant field
- Experience with geospatial data and tools like Geopandas
What We Offer:
- Comprehensive health, dental, and vision insurance
- Compensation includes salary, performance bonus and Equity/Stock Options
About Cyvl:
Cyvl is looking for a Senior Machine Learning Engineer who is ready to take on challenging projects and drive meaningful results.
If you have the skills and experience to lead a team and deliver high-impact machine learning solutions, we encourage you to apply.
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