Design, develop, and optimize computer vision models and deep learning capabilities across the product portfolio.
Build and maintain ETL pipelines, clean datasets, and perform feature engineering for machine learning applications.
Collaborate with cross-functional teams to productionize, deploy, and monitor models in real-world environments.
FloVision is a remote-first startup improving the food supply chain with computer vision and ML. It is a Series A company with a distributed team across the US, UK, and Ireland.
You will own and deliver end-to-end computer vision projects for power grid analysis, including defect detection and vegetation monitoring.
You will bridge research and production by reading papers, adapting algorithms, and deploying reliable models.
You will work within a team of experienced ML engineers with the autonomy to drive your own projects.
Buzz uses advanced AI to analyze and maintain power grid infrastructure, enhancing safety and efficiency. The team consists of experienced ML engineers who work autonomously and support each other's growth.
Build, adapt, and operationalize ML models to estimate forest structure from remote sensing data.
Integrate trained models into automated production pipelines and maintain surrounding data infrastructure.
Contribute to scientific manuscripts and serve as a cross-team link between SciDev and Data Engineering.
Vibrant Planet is a team of leaders in fire science, applied science, forestry, policy, and tech that uses a cloud-based AI-driven platform to lower wildfire risk. The company is backed by climate and resilience leaders and values an inclusive, equitable work environment.
Deliver end-to-end computer vision projects for power grid defect detection, thermal anomalies, vegetation monitoring, and surveillance.
Advance ML research by implementing novel algorithms from papers and conducting systematic experiments for production viability.
Develop production-grade Python libraries and pipelines covering the full ML lifecycle from data ingestion to model serving.
Buzz uses AI to analyze and maintain power grid infrastructure for enhanced safety and efficiency. The team is composed of experienced ML engineers working in a collaborative, autonomous environment.
Own tracking and reporting of CV accuracy metrics, investigating misclassifications and identifying patterns across customers.
Curate, label, and prioritize datasets for model retraining, partnering closely with ML and CV engineers.
Build and improve the continuous learning pipeline, moving from flagging issues to fixing them directly.
We are building the backbone of freight by reinventing supply chain infrastructure with carrier agnostic truck terminals. We are a vertically integrated real estate, operations, and technology company backed by $1B, scaling to build the most valuable logistics network in the country, with a culture of accountability, integrity, and high performance.
Labeling of image data for training object recognition
Programming data acquisition pipelines in Python or C++
Frontend development of a browser client in Three.js
Deutsche Telekom IT Solutions is a subsidiary of the Deutsche Telekom Group providing IT and telecommunications services. With over 5300 employees, the company continuously develops its sites in Budapest, Debrecen, Pécs and Szeged and is looking for skilled IT professionals.
Build the environments and verifiers our models train against
Own the synthetic data pipeline, from generation through quality gates
Ship models into production and keep improving them on real usage
LiveKit builds the infrastructure layer for the voice-driven era of computing, enabling developers to build, deploy, and scale voice AI applications. Founded in 2021, they power voice AI for major companies and have a small, senior team that values craft and creativity.