About us
Cyvl is a Boston-based tech startup 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, 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. We are in a phase of rapid growth, disrupting a massive and outdated market with our innovative solutions.
About the role
As a Computer Vision ML 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. This role requires a strong technical background, leadership skills, and the ability to translate complex problems into practical, efficient solutions.
Responsibilities
- Contribute to the entire ML lifecycle for our core products
- Coordinate development efforts with other ML / Data Scientists on the team
- Tackle issues autonomously with technical review from other team members
- Support efforts to develop and continuously improve our ML models/infrastructure
- Ensure robust deployment and monitoring of models using best practices
Required skills
- 1 - 2+ years industry experience 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 working with model types/architectures, including image segmentation models
- Expertise in pruning, quantization, and model optimization
- Experience with ML development projects
- Strong experience with PyTorch and TensorFlow
- Proficiency with AWS SageMaker, Azure ML Studio, or Google Vertex AI
- Ability to design and scale ML systems in production
Nice to have
- Master’s degree in Computer Science or a relevant field
- Experience with geospatial data and tools like Geopandas
- Knowledge of CUDA, TensorRT, Triton Inference Server, and DeepStream
What we offer
- Competitive salary and equity package
- Comprehensive health, dental, and vision insurance
- Opportunities for professional growth and development
- A collaborative and innovative work culture with a tight-knit team of ~20 employees
Cyvl is looking for a Computer Vision ML 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.
Join us and contribute to the growth and success of our company.
Top Skills
What We Do
Cyvl is redefining how our nation builds and maintains roads, transforming the future of infrastructure to benefit communities across the country. Our mission is simple yet powerful: accelerate the future of infrastructure, making our communities safer, more resilient, and better connected.
Leveraging cutting-edge technology, we empower municipalities and civil engineering firms to make data-driven decisions, optimize spending, and deliver higher-quality road networks. From advanced sensor systems and predictive analytics to seamless, scalable solutions, Cyvl provides a new level of insight into road conditions, maintenance needs, and strategic planning.
We’re proud to be at the forefront of innovation in the infrastructure space, helping cities and counties build smarter, maintain efficiently, and serve their communities better. Join us on our journey to build a stronger, smarter infrastructure for the future
