As a Staff Machine Learning Engineer, you will design and develop scalable platforms and services focused on driving business impact, while raising the bar for technical excellence; you will work with other machine learning scientists, engineers, and product managers to help define the ML roadmap. You will define, design, and maintain scalable Machine Learning data pipelines, training infrastructure, and inference systems.

As a ML Engineer on the Data Platform team, you’ll develop and deploy advanced machine learning models and algorithms on a cloud environment. You'll implement end-to-end machine learning pipelines, starting from data collection, feature engineering, model training, evaluation, to deployment. Build frameworks to measure model performance and accuracy in production environments.

Looking for an AI Engineer to take ownership of our AI initiatives, driving the development and integration of AI/ML solutions across our products and services. This role will be responsible for designing, implementing, and maintaining AI models, particularly focusing on LLMs (Large Language Models) and other advanced AI technologies. You will work closely with cross-functional teams to identify use cases.

In this role, you will develop and implement cutting-edge algorithms for imagery analysis. You will enhance our processing pipelines and quality assurance, improve georeferencing processes and experiment with different approaches. You will also optimize our deep learning models, ensuring scalability and efficiency. Furthermore, implement detectors, masks and feature extraction as needed.

Build Helm.ai's core product offerings to enable customers to use world-class foundation models and vision-based generative AI. Develop machine learning tools to enable internal engineers and customers to train, validate, and deploy neural networks at scale. Deploy cloud infrastructure and build distributed data-processing pipelines.

The Senior Computer Vision Engineer will develop and deploy computer vision models that enhance our product offerings using Python and PyTorch to design and implement scalable, efficient code. They will collaborate with cross-functional teams to integrate computer vision solutions into existing systems and stay ahead of industry trends. They will also lead research and development projects.

Shape the technical direction of 1upHealth as the first AI engineering hire. Define best practices and build high-impact AI-driven solutions from the ground up. Work closely with cross-functional teams to translate complex healthcare challenges into innovative products that leverage advanced AI techniques and implement end-to-end AI systems.

Join HubSpot's Data, Systems & Intelligence (DSI) team as a Senior ML Engineer to support internal Sales and Customer Success (CS) clients. You'll deliver scalable AI/ML and data products to improve efficiency for Sales and Customer Success reps, working with a high-growth team deeply valuing intellectual curiosity and collaboration. Build, train, and deploy ML models, conduct experiments, and maintain code quality.

Leverage ML/AI to tackle real-world problems in scientific visualization, data analysis, or image processing. Dive deep into challenges, explore unconventional solutions, and deliver results that exceed expectations. Work alongside engineers and domain experts. Take full end-to-end ownership of customer problems—from data gathering to production solutions. Keep up with cutting-edge research in AI.

Design, implement, and optimize models that leverage sensor data to detect anomalies, classify defects, predict equipment failures, and enhance overall reliability. Work with cross-functional teams to deliver impactful solutions that keep critical systems running at peak efficiency. Candidates must be based in the United States.