![Oracle is hiring for remote [Remote] Machine Learning Engineer](/assets/2bad4d16-915e-4e7d-9619-9b19dfa88485.jpg){kind=small}
Build scalable, reliable, and production-ready ML systems focusing on Generative AI and Conversational AI solutions. Collaborate with cross-functional teams to translate business requirements into technical engineering innovations.
Remote Machine Learning Engineer Jobs (529)
Search = Machine Learning Engineer
Design and deliver advanced computer vision systems for global companies, owning models from experimentation to production. Responsibilities include developing models for classification and detection, optimizing performance, and deploying on cloud or edge hardware.
Develop and optimize AI algorithms and foundation models to create AI-as-a-medical-device products for healthcare. Collaborate with cross-functional teams to implement software engineering best practices and rigorously evaluate generative AI models.
Design, deploy, and maintain scalable machine learning systems and data products in production. Collaborate with product and engineering teams to execute the AI/ML roadmap and mentor team members on engineering standards.
Own the full machine learning lifecycle to build and deploy end-to-end solutions combating fraud and deepfakes. Develop SOTA CV/ML models and maintain high-load ML pipelines using FastAPI and PyTorch.
New "Machine Learning Engineer" jobs delivered to your inbox
We'll notify you when new positions matching this search are posted
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.
Lead the design and delivery of end-to-end ML/AI systems to optimize payment accuracy and risk adjustment using clinical and claims data. Define technical strategy, build evaluation frameworks, and mentor senior engineers to elevate organization-wide ML standards.
Design, develop, and deploy end-to-end ML and AI pipelines, including LLM-powered features and RAG. Collaborate with cross-functional teams to turn prototypes into scalable production solutions and implement ML/LLMOps practices.
Design, deploy, and maintain scalable machine learning systems and data products in production. Partner with product and engineering teams to execute the AI/ML roadmap and mentor team members on engineering standards.
Design and deploy ML models and infrastructure to power content generation and quality scoring for Canva's element and template library. Own the full ML lifecycle from data pipelines and training to production monitoring and iteration.
Design and deploy ML models and infrastructure to power content generation and quality scoring for Canva's element and template library. Own the full ML lifecycle from data pipelines and training to production monitoring and iteration.
Architect and deploy advanced machine learning models for the spatial analysis of 3D human body scans to generate health and performance insights. Collaborate with cross-functional teams to integrate these models into production infrastructure for healthcare and sports applications.
Develop and maintain advanced machine learning and computer vision models to detect fraud for identity verification. Deploy these models via AWS SageMaker or on-device and collaborate with product managers in an Agile environment.
Design and execute applied research to validate the use of Machine Learning and Generative AI in real-world scenarios. Create Proofs of Concept (POCs) to reduce technical uncertainty for productive and commercial initiatives.
Design and operationalize advanced predictive models for promotions optimization and sales forecasting across international markets. Implement MLOps practices on AWS SageMaker, including model monitoring and automated retraining to support global commercial decisions.
Design and train high-performance computer vision models for automated vehicle damage detection. Architect and maintain high-throughput, containerized microservices and data pipelines for real-time model serving.
Design and train high-performance computer vision models for automated vehicle damage detection. Architect and maintain high-throughput, containerized microservices and Kafka data pipelines for real-time model serving.
New "Machine Learning Engineer" jobs delivered to your inbox
We'll notify you when new positions matching this search are posted
Design and maintain scalable data pipelines and architectures to power data warehouses, LLM-driven applications, and AI-based BI. Develop RAG workflows, manage prompt engineering, and implement natural language query experiences for analytics.
Build and deploy scalable AI-driven products and LLM-powered agents to accelerate clinical trials and improve patient outcomes. Collaborate with cross-functional teams to integrate AI capabilities into the platform and maintain robust data pipelines using MLOps best practices.
Senior Machine Learning Engineer, Relevance and Personalization
Airbnb
·
Full Time
·
1 Week Ago
Airbnb
Develop and productionize end-to-end ranking algorithms and ML pipelines to optimize search and personalization across the Airbnb platform. Collaborate with cross-functional partners to identify business opportunities and implement high-scale AI technologies.
Lead the full lifecycle of Generative AI features, focusing on document intelligence and RAG pipelines from prototype to production. Optimize LLM inference and training performance to maximize throughput and minimize latency on GPU clusters.
Lead the design and development of scalable, end-to-end machine learning systems and applications. Drive technical strategy, oversee program inception, and mentor team members while ensuring alignment with organizational goals.
Machine Learning Engineer - Inference Maintainer & Developer Experience
Roboflow
·
Full Time
·
2 Weeks Ago
Roboflow
Build and maintain the flagship open source computer vision inference engine while developing an agentic-driven contribution and release pipeline. Act as the technical steward and public face of the project, bridging the gap between core engineering and customers.
The Principal Machine Learning Engineer is responsible for building and optimizing ML models and designing the supporting infrastructure. They collaborate with cross-functional teams to deliver production-grade ML services and establish high-quality data pipelines.
Artificial Intelligence & Machine Learning Engineer (Senior Consultant)
Fearless
·
Full Time
·
2 Weeks Ago
Fearless
Design and implement AI-driven solutions and RAG architectures to support federal civilian government initiatives. Build and optimize large-scale data pipelines using Go and manage the ML lifecycle via cloud platforms like AWS and Databricks.
Design, deploy, and maintain scalable machine learning pipelines and AI models in production environments. Responsible for automating model lifecycles, monitoring performance, and ensuring system reliability and governance.
New "Machine Learning Engineer" jobs delivered to your inbox
We'll notify you when new positions matching this search are posted
Set the technical direction for recommendation systems and design complex ML models to deliver personalized user experiences. Lead the integration of state-of-the-art research into production and mentor other machine learning engineers.
Senior Software Engineer - Machine Learning & Geospatial
Ocient Inc.
·
Full Time
·
2 Weeks Ago
Ocient Inc.
Design and implement production machine learning features while closing behavioral gaps between internal capabilities and industry-standard frameworks. Collaborate with cross-functional teams to ensure ML features are predictable, performant, and align with customer expectations.
Machine Learning Engineer, Senior Manager
Credit Acceptance
·
Full Time
·
2 Weeks Ago
Credit Acceptance
Lead the vision and strategic execution of AI-powered solutions to drive long-term value across the business. Manage a team of ML engineers to design and deploy scalable, production-grade AI/ML systems and inference pipelines.
Design and implement machine learning architectures for medical imaging and longevity medicine. Collaborate with domain experts to translate scientific research into production-ready AI systems.
Automatically Apply to Machine Learning Engineer Jobs
Stop the endless job search. Our AI finds and applies to the best jobs for you.
Browse Jobs by Role
Remote Data Analyst Jobs
Remote Management Consultant Jobs
Remote Account Executive Jobs
Remote Call Center Representative Jobs
Remote Graphic Designer Jobs
Remote Social Media Manager Jobs
Remote Proofreader Jobs
Remote Program Manager Jobs
Remote Video Editor Jobs
Remote Translator Jobs
Remote Technical Writer Jobs
Remote Customer Success Manager Jobs
Remote Software Engineer Jobs
Remote Content Creator Jobs
Remote Chief of Staff Jobs
