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Consultant Data Engineer specializing in Databricks to lead client migration projects, designing scalable data pipelines, and ensuring data quality/performance. Core tech: Databricks, Spark, cloud platforms, Python, SQL, and Agile methodologies.
Senior ML engineer builds and deploys real-time fraud detection models using Python, PyTorch, and Spark to protect Affirm’s buy-now-pay-later transactions.
Develops advanced AI models for Siri’s next-gen speech and context-aware assistant, focusing on efficient deep learning, multi-modal integration, and privacy-preserving on-device intelligence across Apple’s platforms.
Builds and maintains low-latency ML inference platforms (personalized recommendations, search, content understanding) using distributed systems, Scala, and cloud infrastructure.
About the Role: As a Staff Software Engineer on the ML Infrastructure team, you will collaborate closely with the Machine Learning and Product teams to build world-class machine learning inference platforms. These…
Builds, deploys, and integrates AI/ML models to analyze customer behavior, optimize operations, and enhance business workflows using Python, SQL, and MLOps/LLMOps frameworks.
Build and deploy end-to-end data-science solutions—from model design to production—using Python, ML frameworks, MLOps and cloud-native tools to deliver measurable business impact.
Build and deploy AI systems for edge and embedded environments, from R&D to production, focusing on model training, evaluation, optimisation, and MLOps to deliver real-world impact in demanding settings.
Build and scale AI-driven marketing optimization systems using causal ML and probabilistic modeling to help brands optimize ad spend and growth.
Senior ML engineer building AI/ML systems for national security, turning research into production across cloud, edge, and air-gapped environments using Python, Docker, and modern frontend tools.
Meta is seeking a Research Scientist to join our Core Machine Learning Research team, where we advance the foundational AI and ML technologies that power Meta's family of products at scale. In this role, you will…
Build and scale the compute and infrastructure backbone for Odyssey’s AI world models, focusing on low-latency inference, GPU training clusters, and petabyte-scale data pipelines.
Lead Data Scientist builds and deploys predictive models and causal inference methods to forecast user behavior and business outcomes, working end-to-end in Python, SQL, and Spark.
Leads the design, deployment, and operationalization of AI/ML solutions for fintech, focusing on enterprise-wide automation, decision-making, and efficiency. Specializes in end-to-end ML lifecycle, MLOps, and scalable model production in cloud environments.
Research Engineer building and training large language models from scratch for coding tasks, deploying them into production to power JetBrains' AI platform.
Senior ML engineer builds and optimizes AI-driven feature pipelines and model training systems for a deep-learning ad platform, using Python, Spark, Kafka, and PyTorch.
Scale AI accelerates the development of AI systems by providing the data, infrastructure, and tooling that power the most advanced models in the world. Our teams operate at the intersection of cutting-edge research,…
Build and deploy generative AI and ML solutions for federal clients, from RAG pipelines to agentic workflows, while standardizing reusable recipes and best practices for Snorkel’s tooling.
The software developer will research, implement, and maintain Keyword Spotting (KWS) solutions using neural networks within a hybrid work environment. The role focuses on deep learning and machine learning development using Python, TensorFlow, or PyTorch.
Build and deploy ML models for search relevance and recommender systems to help users discover second-hand fashion items in Vinted’s massive peer-to-peer catalog.
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