Machine Learning Engineer - Kernels
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.
Remote Machine Learning Engineer Jobs (485)
Machine Learning Engineer - Post Training
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.
Senior Machine Learning Engineer (RecSys)
Design and build real-time ranking and retrieval models for video recommendations, search, and infinite scroll timelines. Develop end-to-end ML pipelines and explore algorithms for short-form video generation.
Senior Data Scientist + Machine Learning Engineer
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.
Staff Machine Learning Engineer, Credit Products (Square Financial Services)
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.
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Staff Machine Learning Engineer, Credit Products (Square Financial Services)
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.
Machine Learning Engineer, Underwriting
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.
Senior Machine Learning Engineer (Agentic AI)
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.
Sr. Machine Learning Engineer
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.
Senior Machine Learning Engineer (RecSys)
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.
Senior Machine Learning Engineer
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.
Principal Machine Learning Engineer
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.
Senior Machine Learning Engineer
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.
Machine Learning Engineer 5 - Globalization
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.
Mid-Level Machine Learning Engineer
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.
Senior Machine Learning Engineer
The Senior Machine Learning Engineer will lead technical initiatives, mentor team members, and design end-to-end predictive models for biological data. They are responsible for the full machine learning lifecycle, from research and prototyping to production deployment and monitoring.
Machine Learning Engineer, Growth
You will lead the design, development, and productionization of machine learning models to drive user acquisition, activation, and retention. You will own the full model lifecycle and collaborate with cross-functional teams to identify high-impact growth opportunities.
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PA
Senior Machine Learning Engineer (Tech Lead), Robot Learning, Loco- Manipulation
You will set the technical direction for the robot learning team, designing architectures for perception, reasoning, and action generation. Additionally, you will mentor junior engineers and drive the deployment strategy for complex loco-manipulation systems.
EC
Senior Machine Learning Engineer (Agent Systems)
You will design and build production-grade agent systems, including planning, tool execution, and reasoning pipelines. Additionally, you will own the reliability, observability, and evaluation frameworks to ensure high-quality agent performance and continuous model improvement.
Senior Machine Learning Engineer - AI Enabler Team
Evaluate and analyze LLM performance while architecting and building inference and training pipelines. You will contribute to hands-on design, model training, and deployment strategies within a technical greenfield project.
Machine Learning Engineer - IV (Biometrics)
Lead the design and development of computer vision and biometric systems, including face recognition and quality assessment. Own the end-to-end machine learning pipeline from data ingestion and synthetic data generation to production deployment on AWS.
Staff Machine Learning Engineer
You will lead the technical architecture and productionization of scalable machine learning systems to support real-time inference and platform integrity. This role involves partnering with data science teams to build robust data pipelines, feature stores, and automated MLOps workflows.
Senior Staff Machine Learning Engineer, Growth Platform Engineering
You will lead the design and development of AI-powered agentic systems to drive sustainable growth and personalize customer experiences at scale. This involves collaborating with cross-functional teams to productionize machine learning models and mentor engineers in building resilient, high-performing AI infrastructure.
Staff Machine Learning Engineer (Active Secret Clearance)
You will lead technical execution and design AI-powered solutions while serving as a customer-facing leader for mission-critical projects. Your role involves orchestrating complex data pipelines, mentoring cross-functional teams, and translating customer requirements into scalable technical architectures.
Senior Machine Learning Engineer I // II
The Senior Machine Learning Engineer will own the end-to-end lifecycle of high-impact ML projects, from offline experimentation to production deployment. They will also collaborate with cross-functional teams to enhance fraud detection effectiveness and scale infrastructure.
Senior Machine Learning Engineer
You will own critical machine learning subsystems end-to-end, from data preparation and training to production deployment and iteration. You will collaborate with research and engineering teams to build reliable, scalable AI systems that solve complex, long-horizon tasks.
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Senior Machine Learning Engineer
You will own the end-to-end deployment of machine learning models, including data validation, model selection, and performance monitoring. You will also collaborate with clients to understand their business needs and ensure the forecasting system delivers actionable results.
Senior Machine Learning Engineer
Design, develop, and deploy machine learning solutions to solve complex fulfillment and marketplace challenges. Collaborate with cross-functional teams to integrate models that improve operational efficiency and the shopper experience.
Staff / Principal Machine Learning Engineer, Serving - Switzerland
You will be responsible for optimizing multimodal model inference and managing high-performance serving systems at scale. This involves taking models from research to production, ensuring reliability, and handling thousands of concurrent connections.
Senior / Lead Machine Learning Engineer, Serving - Serbia
You will be responsible for optimizing multimodal model inference and ensuring reliable, high-performance serving at scale. This involves taking models from research to production, containerizing them, and managing distributed systems to handle thousands of concurrent queries.
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