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Senior ML Product Engineer building and operating personalized communication systems (send decisioning, AI-assisted content, intelligent funnel) for HelloFresh in Warsaw, using Python, Spark, Databricks, Go, Kafka, and Kubernetes.
This role involves leading complex, multi-disciplinary programs for next-generation ML TPU systems from concept through production. The Technical Program Manager will manage cross-functional engineering teams, strategic planning, and NPI lifecycles to deliver AI infrastructure at scale.
Senior Deep Learning Engineer, Computer Vision imagry.E4.E30@comeetapply.com Location: San Jose, CA , On Site We are looking for a capable and experienced Sr. Deep Learning Engineer to join our R&D team. The…
Build ML systems that estimate causal effects, quantify uncertainty, and automate commercial decisions in a continuous loop of learning and improvement.
Builds and deploys AI/ML/agent systems for quantum-inspired computing, integrating Azure Quantum tools and classical ML workflows. Daily coding in Python, designing agentic systems, and optimizing quantum-classical hybrid solutions for use cases like optimization, simulation, and logistics.
Own the full ML lifecycle—data analysis, model development, and production pipelines—at a Berlin SaaS company building cloud software for automotive repair shops, using Python, SQL, and cloud platforms.
This role involves building and maintaining scalable machine learning infrastructure on AWS to support drug discovery initiatives. The engineer will automate deployments, manage CI/CD pipelines, and collaborate with data scientists to optimize computational workflows.
Develops and owns end-to-end AI/ML systems for the Food & Beverage supply chain domain, focusing on dataset design, performance monitoring, and cross-team collaboration to deliver scalable solutions.
Senior ML Engineer owning backend engineering strategy for an ML platform, building scalable pipelines for real-time analytics, and managing the full model deployment lifecycle using Docker, ACR, and PySpark.
The Senior AI Machine Learning Engineer will design and deploy production-grade generative AI applications and autonomous agents to automate financial workflows. The role focuses on leveraging foundation models, RAG, and fine-tuning to enhance BlackLine's financial close and invoice-to-cash platforms.
Senior AI/ML Engineer (Python) Onsite - Wilmington, NC Our client, a fintech company building proprietary deterministic-mathematics and AI systems that forecast the pricing of commodities, real-world assets, and…
Design and train deep learning models to predict gene regulation and interpret genetic variation from DNA sequences, collaborating with experimental scientists to validate findings and publish research.
Build ML models and pipelines from scratch for a fintech payments orchestrator, including a real-time routing engine and recommendation system to boost merchant conversion and revenue.
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.
Senior Product Counsel advises AI/ML product teams on legal risks, compliance, and regulatory matters for healthcare-focused AI models, ensuring responsible deployment while shaping company policy on emerging AI governance.
Join the team redefining what a deeply personal and integrated assistant can be. As part of the Siri organization, you will help shape one of the world's most widely used AI assistants, powered by our…
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.
About Valor: Valor Equity Partners is a different kind of private investment firm. We pioneered the idea of operational growth. We work side-by-side, shoulder-to-shoulder, to help grow the operations of great companies…
Senior ML/AI Engineer in NYC builds and deploys production-grade AI systems for demand forecasting, consumer intelligence, and autonomous decision-making using Python, ML frameworks, and graph RAG architectures.
Builds and deploys GenAI models and ML infrastructure for YouTube, focusing on LLMs, multi-modal, and large vision models to enhance video and creator experiences at scale.
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