Design and manage large-scale AI-augmented data pipelines integrating ML models.
Own systems for remote ML model inference orchestration and serve vector embeddings.
Source, filter, and curate training datasets while ensuring governance and compliance.
Columbia General operates at the forefront of generative AI technology, creating solutions that enhance capabilities on a global scale. They foster a collaborative and innovative work culture, with a focus on leveraging cutting-edge tools.
Design, develop, and deploy computer vision and machine learning models to automatically extract map features from satellite imagery at a global scale.
Build scalable, production-ready ML pipelines that process large volumes of satellite imagery with high accuracy and efficiency, integrating outputs into mapmaking systems.
Collaborate cross-functionally with data engineering, mapping, and product teams to translate business needs into ML solutions and drive continuous improvement.
HERE Technologies is a location data and technology platform company that empowers customers to achieve better outcomes, from helping cities manage infrastructure to guiding drivers safely. The company fosters a culture of innovation, opportunity, and inclusion to improve people's lives.
Collaborate with AI experts to develop and optimize generative AI and NLP models.
Conduct research on state-of-the-art techniques and assist in designing and evaluating novel AI solutions.
Execute automated and manual tests for AI systems, focusing on minimizing issues like hallucination.
G-P operates a SaaS-based Global Employment Platform enabling businesses to hire and manage teams in over 180 countries without establishing local entities. The company is a remote-first organization fostering an innovative and inclusive culture where diverse contributions are valued and celebrated.
Design, build, and iterate on VLM-based pipelines for high-quality labels at scale, including prompt engineering and fine-tuning.
Determine optimal signals and contextual features from edge devices to improve VLM accuracy and reduce ambiguity.
Collaborate with Embedded Systems, Hardware, and Data Science teams to define strategies and build evaluation frameworks for label quality and model performance.
Inspiren offers the most complete and connected ecosystem in senior living, providing integrated solutions and powerful analytics for clinical and operational decision-making. It is a fast-moving, early-stage environment founded by a former Green Beret turned nurse, emphasizing compassionate care and technology.
Design, develop, and deploy Machine Learning models to solve business problems and write production-level code for scalable solutions.
Collaborate with data engineers and software engineers to integrate ML models into production and implement MLOps best practices for monitoring and deployment.
Provide technical guidance to junior team members and communicate findings clearly to both technical and non-technical stakeholders.
Blend is a premier AI services provider that co-creates meaningful impact for clients through data science, AI, technology, and people. The company is dedicated to unlocking value and fostering innovation by harnessing world-class talent and data-driven strategy to align human expertise with artificial intelligence.