Design and run experiments to improve AI agent quality, reasoning, and tool use within the Breeze Studio platform. Build evaluation infrastructure and optimize LLM inference for latency, cost, and quality tradeoffs.
Remote Machine Learning Engineer Jobs (529)
Search = Machine Learning Engineer
Design, build, and operate production-grade machine learning systems to transform rich media and spatial signals into immersive customer experiences. Lead end-to-end ML workflows from prototyping and training to deployment and observability in production.
Design and implement knowledge graph architectures using Neo4j or RDF models to drive AI product development. Integrate these graphs with LLMs using RAG architectures and build robust APIs for network traversal and relationship analysis.
Staff Machine Learning Engineer, Credit Products (Square Financial Services)
Block
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Full Time
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9 Weeks Ago
Block
Lead the design and implementation of the full credit modeling stack to drive growth for Square Financial Services. This includes managing the entire lifecycle of credit decisioning and scaling ML infrastructure within a regulated banking environment.
Staff Machine Learning Engineer, Credit Products (Square Financial Services)
Block
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Full Time
·
9 Weeks Ago
Block
Lead the design and implementation of the full credit modeling stack to enhance predictive accuracy for underwriting. Manage the entire lifecycle of credit decisioning, from data ingestion to production integration within a regulated banking environment.
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The Machine Learning Engineer will build and integrate machine learning solutions into defense capabilities, focusing on real-time data processing. They will lead the development of feature detection and anomaly detection models and collaborate with cross-functional teams.
Design, develop, and deploy end-to-end machine learning pipelines and MLOps best practices. Optimize models and collaborate with data engineers to build scalable, production-ready inference systems.
Design, train, and deploy classical ML and generative AI solutions using a cloud-native AWS stack. Collaborate with product managers to translate business needs into scalable AI components across healthcare business units.
Design and implement scalable AI systems and agentic applications using LLMs, RAG, and tool calling. Monitor production performance and provide technical leadership for infrastructure and architectural improvements.
Design and deploy ML models for document classification, entity extraction, and summarization of complex financial documents. Build scalable production-ready ML services and contribute to the MLOps stack including CI/CD and evaluation frameworks.
Build, deploy, and maintain the ML infrastructure and automated pipelines that power real-time risk decisioning. Collaborate with data scientists to optimize model serving, feature stores, and production reliability.
Design and deploy LLM-powered features such as lab summaries and conversational agents for healthcare practitioners. Build and maintain backend services and evaluation workflows to ensure AI reliability and clinical relevance.
Design and implement retrieval and ranking architectures for personalized music recommendations. Build end-to-end ML systems encompassing data processing, training, deployment, and performance monitoring.
Audio Machine Learning Engineer (Machine Learning Developer)
Audimee
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Full Time
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10 Weeks Ago
Audimee
Design and develop large-scale machine learning models for singing voice synthesis and voice conversion. Research new generative approaches and integrate production-ready audio models into existing systems.
Responsible for fine-tuning and optimizing state-of-the-art LLMs for diverse use cases and high-performance deployment. You will design AI products like AI Assistants and autonomous agents while driving key architectural decisions for Airbnb's ML platform.
Design, train, and deploy machine learning models to power marketing-focused products and customer segmentation. Architect and maintain scalable MLOps pipelines for reliable model training, serving, and monitoring in production.
Lead the development of security-focused ML models to protect Reddit's GenAI traffic from risks like prompt injection and jailbreaking. Own the full ML lifecycle from problem definition and data ETL to production deployment and monitoring.
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Lead the technical strategy and architecture for ads identity modeling and measurement solutions. Oversee end-to-end ML workflows and partner with cross-functional teams to define the long-term roadmap.
Design, develop, and deploy scalable LLM-powered systems and agentic pipelines to enhance real estate operations and customer experience. Collaborate across departments to integrate AI solutions into product development and maintain production-grade AI architectures.
Senior Machine Learning Engineer (AI tools)
SmartRecruiters Inc
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Full Time
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10 Weeks Ago
SmartRecruiters Inc
Architect and build agentic workflows and conversational systems using LLMs and reasoning components to optimize recruiting. Lead the end-to-end development of ML/NLP products from ideation through production and deployment.
Develop large-scale, fault-tolerant multimodal agentic experiences and interaction modes like Voice AI and Deep Research. Lead complex, multi-team initiatives while establishing robust evaluation frameworks and safety guardrails for AI agents.
Staff Software Engineer, Machine Learning (Computer Vision), Remote
DeepWalk
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Full Time
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10 Weeks Ago
DeepWalk
The Staff Software Engineer will lead the technical direction of the computer vision platform, overseeing the lifecycle of ML models and data pipelines. They will also mentor the engineering team and collaborate with leadership to translate business needs into scalable technical solutions.
You will own the end-to-end development of critical ML subsystems, including data preparation, training, and production deployment. You will collaborate with research and engineering teams to build reliable, scalable AI systems that meet performance and latency targets.
You will be responsible for building and owning end-to-end machine learning pipelines, including training, evaluation, inference, and production deployment. You will collaborate with research and application teams to integrate scalable, high-performance AI systems into products.
Contribute to the design, scaling, and development of machine learning reward signals for recommendation systems. Lead cross-collaborative efforts to integrate and A/B test mid-term signals across various personalization platforms.
The Senior Machine Learning Engineer will lead the end-to-end development and lifecycle management of machine learning models using proprietary data. Responsibilities include building scalable production-grade systems, collaborating with cross-functional teams, and ensuring model performance through continuous monitoring and improvement.
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The Senior Machine Learning Engineer will lead the end-to-end development and lifecycle management of machine learning models using proprietary data. They will collaborate with cross-functional teams to build, deploy, and monitor scalable production-grade ML systems.
Design and build scalable training and inference systems for LLMs, Multimodal LLMs, and other media ML models. Optimize end-to-end training and inference serving to improve scalability, latency, and reliability across global workloads.
AI Senior Machine Learning Engineer -Gen AI, Machine Learning, Graph ML (10189)
Extreme Networks
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Full Time
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11 Weeks Ago
Extreme Networks
Lead the end-to-end software development lifecycle for AI-driven networking solutions, including design, implementation, and deployment of high-performance microservices. Mentor engineering team members while driving technical strategy and innovation in Generative AI and multi-agent systems.
Design, build, and deploy end-to-end predictive models while managing the full machine learning lifecycle. Collaborate with domain experts to translate research literature into production-grade systems that handle complex biological data.
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