Build and scale machine-learning driven features and reusable architecture to advance the clinical AI product suite. Deploy and maintain ML models and pipelines in production while collaborating with cross-disciplinary teams to integrate them into the platform.
Remote Machine Learning Engineer Jobs in United States (263)
Search = Machine Learning Engineer
Remote in = United States
Serve as the technical lead for an ML team focusing on personalization, relevance, and ranking. Own the end-to-end architecture, from model training and evaluation to deployment and scaling in production.
Design, build, and deploy high-quality machine learning models and scalable pipelines to detect security threats and sensitive data. Collaborate with cross-functional teams to align ML initiatives with business goals and mentor other engineers.
Lead the technical direction and architecture of large-scale machine learning models to enhance personalization and recommendation quality across Reddit. Partner with infrastructure teams to build distributed training systems and optimize real-time serving architectures for embeddings.
Design and implement custom GPU/accelerator kernels to maximize performance for next-generation AI workloads. Collaborate with researchers to translate algorithmic advances into efficient, production-ready code.
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Develop pipelines for post-training tasks including fine-tuning, evaluation, and model compression. Implement scalable systems for model deployment and optimization while collaborating with researchers to validate results in production.
Sr Machine Learning Engineer- Computer Vision
Cox Enterprises
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Full Time
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2 Weeks Ago
Cox Enterprises
Design, train, and deploy computer vision models for vehicle damage detection, classification, and segmentation. Manage the full ML lifecycle from dataset curation and mining using LLMs to production deployment on server and mobile platforms.
Design and implement machine learning solutions for satellite imagery analytics, focusing on computer vision and time series analysis. Collaborate with technical teams to port analytics into a remote ML environment and develop configurable training pipelines.
Machine Learning Engineer III - FES
Fanatics Betting & Gaming
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Full Time
·
2 Weeks Ago
Fanatics Betting & Gaming
Own the end-to-end ML infrastructure for recommendation, personalization, and LTV scoring systems. Build and scale real-time and batch feature pipelines and model serving infrastructure across the Fanatics ecosystem.
Lead the design, development, and deployment of scalable machine learning solutions and production pipelines. Provide technical leadership to junior engineers while ensuring the reliability, security, and performance of ML systems.
Contribute to the design, development, evaluation, and iteration of recommendation models powering music surfaces at scale. Collaborate with Data Science, Product, and Design partners to define success metrics and translate insights into product improvements.
Own the end-to-end ML/AI lifecycle from defining success metrics and prototyping to deploying production-ready models. Collaborate with engineering and product teams to automate complex tax and accounting workflows using LLMs and traditional ML.
Software Engineer, Machine Learning - Credit & Refund Optimization
DoorDash USA
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Full Time
·
3 Weeks Ago
DoorDash USA
Lead the development of ML systems to personalize and optimize credit and refund decisions to balance cost efficiency with customer retention. Design and deploy causal inference models and optimization frameworks to influence millions of user experiences.
Design and implement machine learning models, algorithms, and full-stack API services for AI-driven products like Dayforce AI Assistant. Manage end-to-end ML pipelines from data preprocessing and training to production deployment and monitoring.
Design and implement machine learning models, algorithms, and full-stack API services for AI-driven products like Dayforce AI Assistant. Manage end-to-end ML pipelines from data preprocessing and training to production deployment and monitoring.
Own the production inference stack for voice AI, focusing on model compilation, kernel optimization, and latency reduction. Build reliable, high-throughput speech systems across cloud, on-prem, and heterogeneous environments.
Own the end-to-end operational data pipeline, including audio annotation, quality systems, and dataset versioning. Build tooling for linguists and the modeling team to ensure high-quality training manifests and reproducible experiments.
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Build and operate production AI pipelines and Airflow-based orchestration for clinical workflows. Develop observability and evaluation infrastructure to ensure the quality and reliability of LLM outputs in healthcare applications.
Set the technical direction and architecture roadmap for agentic data foundations, including memory and AI workflows. Lead cross-organizational initiatives to ship scalable, high-availability agentic systems while mentoring senior technical talent.
Staff Machine Learning Engineer, Driver Understanding and Evaluation
Waymo
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Full Time
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3 Weeks Ago
Waymo
Lead the development of cutting-edge deep learning and Gen AI models to analyze autonomous vehicle behavior and automate high-volume workflows. Collaborate with cross-functional teams to define technical strategy and optimize ML models for fleet-wide evaluation.
Research, design, and develop machine learning solutions and algorithms for driverless technology. Lead technical choices and optimize on-road performance for production models.
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.
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.
Staff Machine Learning Engineer, Credit Products (Square Financial Services)
Block
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Full Time
·
3 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
·
Full Time
·
3 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.
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.
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Define the technical strategy and architecture for ML systems powering data discovery and model improvement lifecycles. Lead cross-functional initiatives to build scalable frameworks for multimodal data mining and optimized production inference.
Define the technical strategy and architecture for ML systems powering data discovery and model improvement for autonomous vehicles. Lead cross-functional initiatives and mentor engineers to ensure scalable, high-performance production inference.
Define the technical strategy and architecture for ML-powered data mining systems to improve autonomous driving stacks. Lead cross-functional initiatives, mentor engineers, and establish department-wide standards for ML system design and deployment.
Define the technical strategy and architecture for ML systems powering data discovery and model improvement for autonomous vehicles. Lead cross-functional initiatives and mentor engineers to ensure scalable, high-performance production inference.
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