Computer Vision ML Engineer

Job Description

This job posting has expired and no longer accepting applications.

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 We are in a phase of rapid growth, disrupting a massive and outdated market with our innovative solutions.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.

Compensation includes salary, performance bonus and Equity/Stock Options

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.

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