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Leads the data strategy and team for Faire's ads business, overseeing ML models, auction systems, and data infrastructure to drive marketplace growth.
Builds and maintains CarGurus’ cloud-hosted ML platform, deploying Python models to production APIs, enhancing data pipelines, and integrating AI systems (recommendations, search ranking, computer vision) into automotive marketplace products.
The Senior AI/ML Engineer will build and scale complex multi-agent AI systems and RAG architectures using Python, AWS, and modern generative AI frameworks. The role focuses on developing, fine-tuning, and deploying AI solutions within a financial infrastructure environment.
Senior Applied AI/ML Scientist building and shipping LLM-powered agentic workflows, retrieval systems, and evaluation frameworks for NewsWhip's real-time news intelligence platform, primarily using Python, LLM APIs, and vector databases.
The Senior Applied AI/ML Scientist will architect and deploy production-grade LLM agentic workflows and retrieval systems to process real-time news data. The role focuses on building scalable, observable AI features while driving evaluation standards for accuracy and performance in a media intelligence context.
Artificial Intelligence and machine learning are at the cutting edge when it comes to shaping next-gen mobility in areas like automated driving. But it takes real intellectual leadership and expertise to identify and…
Location: Europe only Employment type: Full-time, Remote About the Role We're looking for a Middle/Senior Generative AI / Machine Learning Engineer to help build production-grade AI systems from classical ML and…
Develop and support Embodied AI and robotics systems—simulation environments, ML training/evaluation pipelines, and robotic datasets—using PyTorch/TensorFlow and Azure ML in an onsite agile research team.
Відкрита позиція Computer Vision Engineer (Signal Processing) в американсько-українській miltech-компанії, в команду якої входять досвідчені лідери зі стартапів Кремнієвої долини. Задачі для цієї ролі: Дослідження та…
The role You’ll join the AI Performance Tooling team within Wayve’s AI Performance organization, which makes model training and inference faster, more efficient, and more predictable across cloud and embedded hardware.…
Helsing is seeking an applied Machine Learning Engineer to develop and deploy detection and tracking models for autonomous drone platforms. The role involves managing the full model lifecycle, from data curation to edge deployment, using frameworks like PyTorch and tools for model optimization.
Build and scale a machine-learning platform that trains, deploys, and governs models for Faire’s wholesale marketplace using Databricks, Spark, MLflow, and AWS.
RESPONSIBILITIES: Kforce has a client in Maryland Heights, MO that is seeking a SRE (AI/ML) with hands-on AI/ML engineering experience to design, operate, and scale reliable cloud platforms that power production AI/ML…
Title: Machine Learning Engineer / Forward Deployed Engineer Location: Remote, Northern California Salary: $250K-$300K An AI startup helping foundation model companies and Frontier Labs is hiring a Founding Forward…
This role involves researching and developing frontier foundation models for Apple silicon, focusing on pre-training, alignment, and task-specific optimization for vision-language and generative models. The researcher will work on the full training lifecycle to integrate these models into Apple's OS and products.
The Staff Machine Learning Engineer will design, deploy, and maintain production-grade ML systems to optimize revenue management and pricing strategies for the hospitality industry. The role focuses on MLOps, building scalable data pipelines, and ensuring the reliability of AI-driven features using technologies like Python, AWS, and Apache Airflow.
Build and deploy production-grade ML models and MLOps pipelines for a credit union, using Python, PyTorch/TensorFlow, Azure ML, Databricks, and MLflow to drive automation and decision-making.
Design and support secure, scalable cloud, on-premises, and hybrid infrastructure with emphasis on IaC, containers, networking, storage, and AI/ML workload infrastructure using AWS, Azure, or GCP.
About CFD Research: Since its inception in 1987, CFD Research has delivered innovative technology solutions within the Aerospace & Defense, Biomedical & Life Sciences, Intelligence & Sensing, and Energy…
Designs and deploys machine learning models to optimize email targeting and content recommendations for The New York Times, using Python, SQL, and experimentation frameworks.
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