Design, build, and deploy production-grade machine learning systems for personalized recommendations, search, and advertising. Own the full ML lifecycle from problem definition and feature engineering to deployment and monitoring at internet scale.
Remote Machine Learning Jobs (628)
Search = machine learning
Job category = Software Development
Design, build, and deploy production-grade machine learning systems for personalized recommendations, search, and advertising. Own the full ML lifecycle from problem definition and feature engineering to deployment and monitoring at internet scale.
Lead the architecture and validation of genomic and multimodal foundation models to accelerate patient stratification and therapeutic monitoring. Bridge the gap between AI research and clinical science to transition representation learning models into reproducible diagnostic assets.
Machine Learning Engineer (d/m/w) Edge ML und IoT, Deutschland remote
The Formula
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Full Time
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5 Days Ago
The Formula
Develop next-generation drone detection systems using visual and acoustic sensors with a focus on Edge ML and sensor fusion. Implement scalable, low-latency AI models directly on local sensors and collaborate with MLOps/DevOps for secure deployment.
Design and operationalize scalable machine learning pipelines for training, deployment, and lifecycle management across cloud and edge environments. Collaborate with cross-functional teams to translate mission requirements into deployable ML capabilities for autonomous systems.
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Architect and scale the AI agents facing platform, evolving it from a vector search platform into an agentic retrieval layer. Ensure high-quality results, low latency, and cost efficiency for enterprise-scale AI products.
Lead and mentor a team of ML engineers and data scientists to deliver innovative AI solutions for North American clients. Oversee the full project lifecycle from concept to deployment while managing client relationships and technical architecture.
Design and implement scalable, high-performance ML ranking systems to power personalized feeds and search at Reddit scale. Collaborate with product and infrastructure teams to translate requirements into robust ML and Generative AI production systems.
Lead the design and development of scalable, end-to-end machine learning systems and applications aligned with organizational goals. Oversee program inception, manage ML pipelines, and mentor team members while championing Responsible AI practices.
Architect and deploy an orchestration layer for AI-powered conversational systems and multi-agent platforms. Lead the end-to-end execution of complex ML initiatives while mentoring engineers on architectural integrity.
Lead the technical design and launch of agent harnesses for Rovo Chat to improve quality, reliability, and latency. Collaborate with cross-functional teams to realize the transformative potential of AI across Atlassian's offerings.
Senior Software Engineer, Machine Learning Inference Platform
Stack AV
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Full Time
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6 Days Ago
Stack AV
Design and deliver high-throughput, low-latency subsystems for a multi-tenant ML inference platform. Develop API layers, optimize GPU performance, and build observability tools to monitor system economics and utilization.
Staff Software Engineer, Machine Learning Inference Platform
Stack AV
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Full Time
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6 Days Ago
Stack AV
Define and drive the architecture for a high-throughput, multi-tenant ML inference platform including the control plane and API layers. Optimize system performance across the stack and establish observability and SLOs for GPU utilization and cost accounting.
Build and evolve machine learning systems for underwriting and credit decisioning for Cash App Borrow and Afterpay. Design credit decision frameworks and agentic engineering workflows to accelerate development and monitoring.
Advanced Engineer – Embedded Machine Learning
HARMAN International
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Full Time
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6 Days Ago
HARMAN International
Design and manage end-to-end machine learning systems to enhance in-vehicle audio and infotainment experiences. Optimize ML models for edge hardware and implement MLOps pipelines for continuous training and deployment.
Machine Learning Engineer (Active Secret Clearance)
Striveworks
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Full Time
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6 Days Ago
Striveworks
Develop and automate machine learning pipelines for diverse data types to solve national security and business challenges. Collaborate with cross-functional teams to transform ML models into operational capabilities using the Chariot AIOps platform.
Machine Learning Engineering Manager - Ads Engagement Modeling
Reddit
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Full Time
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1 Week Ago
Reddit
Define and execute the technical roadmap for engagement modeling to drive user interactions with ads and content. Lead, recruit, and mentor a high-performing team of ML engineers while collaborating with cross-functional partners.
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Lead the design and deployment of evaluation approaches to assess the realism of multimodal world models and generative systems. Architect scalable machine learning pipelines and discriminator models to improve simulator realism for autonomous driving.
Build and maintain infrastructure for the development, deployment, and monitoring of machine learning models. Collaborate with data scientists to automate workflows and ensure the scalability and reliability of ML systems in production.
Build scalable AI proofs-of-concept and modern AI systems using LLMs and agentic workflows to solve business problems. Partner with cross-functional stakeholders to translate ambiguous needs into practical, enterprise-scale AI solutions.
Lead the strategy and deployment of secure enterprise AI capabilities and architectures within regulated environments. Drive the integration of AI into mission-critical workflows while ensuring governance, compliance, and auditability.
Senior Machine Learning Engineer
Just Eat Takeaway.com
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Full Time
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1 Week Ago
Just Eat Takeaway.com
Lead the strategic direction of machine learning infrastructure and architect complex ML pipelines for real-time and batch inference. Mentor mid-level engineers and collaborate with Data Science teams to optimize and deploy scalable models in production.
Develop and optimize novel ML systems and Agentic AI technologies to transform Airbnb's customer service experience. Collaborate cross-functionally to build intelligent AI assistants and scalable production-grade ML services.
Own the architecture of the AI platform and lead the design of enterprise agentic systems and RAG capabilities. Drive technical direction, mentor senior engineers, and ensure AI systems meet enterprise standards for security, governance, and reliability.
Lead the design and evolution of large-scale AI platforms for search, ranking, and recommendations across Comcast, Sky, and NBCUniversal. Drive technical strategy and build production-grade ML systems integrating generative AI and real-time decisioning.
Lead the architecture and deployment of an enterprise-scale AI platform focusing on Generative AI, agentic systems, and RAG capabilities. Establish standards for model governance, security, and reliability while mentoring senior engineering staff.
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Design, build, and operate the production infrastructure and Kubernetes platform powering AI services. Own the end-to-end machinery for model serving, observability, and secure deployment pipelines in a regulated healthcare environment.
The role involves building and deploying ML models to automate workflows, predict treatment delays, and manage the intelligence layer of the platform. Responsibilities include architecting LLM-powered workflows and maintaining data pipelines for structured and unstructured data.
Lead and develop a team of Machine Learning specialists to build and improve models that detect financial crime and fraud. Partner with cross-functional stakeholders to translate ambiguous fraud problems into reliable, high-impact ML controls.
The role involves designing and deploying production-grade machine learning architectures and generative AI solutions on Google Cloud. You will also lead client discussions, scope projects, and translate vague business requirements into technical ML models.
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