Collaborate with cross-functional teams to develop AI solutions and automate processes for operational efficiency. Build and monitor end-to-end lifecycles of large-scale distributed machine learning systems for surgical care.
Remote Machine Learning Engineer Jobs (530)
Search = Machine Learning Engineer
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.
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.
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.
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.
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Senior Software Engineer, Machine Learning Inference Platform
Stack AV
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Full Time
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4 Weeks 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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4 Weeks 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.
Machine Learning Engineer (Active Secret Clearance)
Striveworks
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Full Time
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4 Weeks 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.
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.
Senior Machine Learning Engineer
Just Eat Takeaway.com
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Full Time
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4 Weeks 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.
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 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.
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.
Develop and scale distributed training infrastructure and core libraries for AI model development and monitoring. Optimize GPU/CPU efficiency and data throughput for large-scale foundation models and digital pathology data.
Senior Machine Learning Engineer - Power Factors
Opportunities with AppDirect's Advisor Partners (Recruitment as a Service)
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Full Time
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4 Weeks Ago
Opportunities with AppDirect's Advisor Partners (Recruitment as a Service)
Lead the architecture and training of foundational time-series models for renewable energy assets, focusing on tokenization and scaling from PoC to production. Build and optimize distributed training infrastructure and collaborate with cross-functional teams to align model outputs with business value.
Translate cutting-edge research into production-ready machine learning systems for image and video processing. Own the full ML lifecycle from experimentation and training to deployment and scaling in cloud environments.
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Build and operationalize scalable AI-enabled platforms and distributed systems to automate the compliance content lifecycle. Design reusable cloud-native services and establish engineering standards for CI/CD and production operations.
Design, develop, and deploy production-grade AI solutions focusing on Computer Vision and LLM-based workflows. Optimize ML inference pipelines and collaborate with stakeholders to shape technical architecture and product direction.
Design and build large-scale distributed training and evaluation infrastructure for Deep Reinforcement Learning agents. Optimize model performance, compute efficiency, and cost across GPU clusters to accelerate the research iteration loop.
Machine Learning Engineer - New AI Initiatives
Torc Robotics
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Full Time
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5 Weeks Ago
Torc Robotics
Lead complex data science projects to improve manufacturing processes and develop machine learning workflows from analysis to embedded deployment. Define data ingestion and governance standards while providing technical leadership and mentoring to team members.
Architect and scale enterprise-grade machine learning infrastructure and deployment pipelines to support clinical initiatives. Drive MLOps strategy, mentor engineering teams, and ensure the reliability and compliance of mission-critical ML services.
The intern will work on high-impact problems involving LLM research, large-scale ML systems, and e-commerce applications. Key areas include query understanding, search relevance, generative recommendations, and LLM evaluation frameworks.
Lead the development of advanced perception algorithms and sensor fusion techniques for industrial robotic welding systems. Provide technical leadership by mentoring junior engineers and contributing to the strategic direction of the company's robotics architecture.
Senior Machine Learning Engineer, Search & Recommendations
Instacart
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Full Time
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5 Weeks Ago
Instacart
Architect and build a unified ranking backbone for search, recommendations, and ads using multi-task learning and value-aware optimization. Develop production-grade models to optimize long-term metrics like LTV and incremental GTV while mentoring other ML engineers.
Design and build scalable machine learning training and inference pipelines to power generative AI music experiences. Collaborate cross-functionally to develop evaluation frameworks and integrate LLM-driven features into production-ready products.
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Senior Machine Learning Engineer
ZoomInfo Technologies LLC
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Full Time
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5 Weeks Ago
ZoomInfo Technologies LLC
Build and scale large-scale recommendation systems and advanced NLP embedding models to enhance data intelligence. Architect MLOps/LLMOps infrastructure and design agentic workflows for automated web extraction and entity resolution.
Lead applied ML initiatives to develop and optimize computer vision models for biometric identity verification and fraud prevention. Manage the full ML lifecycle from data curation and model design to production deployment and monitoring on AWS.
Develop, deploy, and optimize machine learning and large language models to enhance customer experiences and internal workflows. Build AI agents and MLOps pipelines to streamline model training, evaluation, and scalability.
Design and optimize large-scale continual pre-training pipelines for VLM foundation models. Conduct research on integrating multimodal data streams and develop metrics to evaluate model performance in autonomous driving contexts.
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