Machine Learning Engineer at Timescapes

Type: Full-time
Posted: May 20, 2026

Description

Timescapes, founded in 2017, is seeking a Machine Learning Engineer to join their expanding team. This role involves designing, developing, integrating, and supporting machine learning models, particularly focusing on computer vision, to enhance their product capabilities for construction project tracking. The engineer will collaborate with the AI/ML team, run experiments with large language models, and manage the ML lifecycle, including data handling and training.

Required Skills

machine learning
computer vision
LLMs
generative AI models
data management
labeling
training
data acquisition
model training
pipeline design
management
continuous integration
model versioning
performance monitoring

Additional Information

Required Previous Experiences: Experience with the development and delivery of production-level software systems that feature critical machine learning components.
Experience with the development of computer vision models, from the data side as well as the model side.
Experience with end-to-end ML operations, including data acquisition, labeling, model training, pipeline design + management, continuous integration, model versioning, and performance monitoring.
Experience with leveraging LLMs, LVMs and multimodality models to augment product capabilities, including strong experimentation skills, and the ability to combine off-the-shelf commercial model capabilities with custom ML models.
Familiarity with methods for ML model validation and verification.
Experience deploying ML inference infrastructures for systems with high throughput.
Preferred Qualifications: Experience with deep learning frameworks e.g. PyTorch
Familiarity with inference engines e.g. TensorRT
Experience with developing edge ML applications
Experience writing with .NET, C# and Python

About Timescapes

Timescapes

Track, validate, and communicate construction progress. Timescapes combines construction-grade cameras with an intuitive platform to give your team continuous visibility from start to finish.

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