Cyvl
Senior Machine Learning Engineer
Cyvl, Boston, Massachusetts, us, 02298
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 We are in a phase of rapid growth, disrupting a massive and outdated market with our innovative solutions.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 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. This role requires a strong technical background, leadership skills, and the ability to translate complex problems into practical, efficient solutions.
Responsibilities Oversee and contribute to the entire ML lifecycle for our core products Coordinate development efforts with other ML / Data Scientists on the team Provide mentorship and technical guidance to other engineers on the team Tackle issues autonomously with technical review from other team members Lead efforts to develop and continuously improve our ML models/infrastructure Ensure robust deployment and monitoring of models using best practices Required skills
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 working with model types/architectures, including image segmentation models Expertise in pruning, quantization, and model optimization Experience leading ML development projects Strong experience with PyTorch and TensorFlow Proficiency with AWS SageMaker, Azure ML Studio, or Google Vertex AI Proven 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
$180,000 - $250,000 a year
Compensation includes salary, performance bonus and Equity/Stock Options
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.
Join us and contribute to the growth and success of our company.
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 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. This role requires a strong technical background, leadership skills, and the ability to translate complex problems into practical, efficient solutions.
Responsibilities Oversee and contribute to the entire ML lifecycle for our core products Coordinate development efforts with other ML / Data Scientists on the team Provide mentorship and technical guidance to other engineers on the team Tackle issues autonomously with technical review from other team members Lead efforts to develop and continuously improve our ML models/infrastructure Ensure robust deployment and monitoring of models using best practices Required skills
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 working with model types/architectures, including image segmentation models Expertise in pruning, quantization, and model optimization Experience leading ML development projects Strong experience with PyTorch and TensorFlow Proficiency with AWS SageMaker, Azure ML Studio, or Google Vertex AI Proven 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
$180,000 - $250,000 a year
Compensation includes salary, performance bonus and Equity/Stock Options
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.
Join us and contribute to the growth and success of our company.