1,000+ matching jobs for “Sr Machine Learning Engineer”How results work Exact titles rank first, then title variations and keywords in descriptions. These labels aren't qualification scores. Without keywords, recently added jobs appear first.
Pay posted by employer $99,000–$225,000
Artificial Intelligence and Machine Learning Engineer, Senior The Opportunity: Cyber and intelligence analysts rely on multi‑step workflows …
Added Oct 27, 2026
… motivated and experienced Senior Researcher to join our team in the field of Artificial Intelligence, Machine Learning (AIML). As a Senior Research Engineer, you will lead and drive cutting-edge projects that leverage …
Added Oct 27, 2026
+5 locations
Pay posted by employer $151,800–$265,350 per year
Build and deploy high-precision ML models for fraud and abuse detection, anomaly detection, and risk scoring. Engineer risk signals from large-scale account, device, network, behavioral, velocity, and session data. Integrate …
Added Oct 27, 2026
+4 locations
… Security Clearance Type: None/Not Required

 Security Clearance Status: Not Required As a Machine Learning Engineer on the Aviation Intelligence team, you will be building our next generation of Machine …
Added Oct 27, 2026
+1 location
… computers that can learn, reason and interact with people are no longer science fiction. GPU Deep Learning has provided the foundation for machines to learn, perceive, reason and solve problems. Now, NVIDIA’s GPU …
Added Oct 27, 2026
Levels we are considering: Sr . Staff and Principal Engineers Location: Santa Clara, CA (Hybrid: 3 days/week on-site at Corporate HQ) …
Added Oct 27, 2026
Pay posted by employer $342,700–$433,400
… AI; we are building the infrastructure that defines how the internet is managed. As a Distinguished Machine Learning Engineer, you will have a seat at the table where the future of autonomous, agentic networking is …
Added Oct 27, 2026
+1 location
Pay posted by employer $147,050–$230,850 USD per year
… beyond LLMs; selecting and tuning inference servers and runtime configurations. AWS SageMaker or EKS; Azure Machine Learning or AKS; or equivalent managed and self-hosted model platforms. Hybrid or on-premises model …
Added Oct 12, 2026
Full time (company default) Sr . Staff ll, ML Engineer – Search & Discovery Relevance We exist to wow our customers. We know we’re doing …
Added Oct 4, 2026
+1 location
We are now looking for a Senior Machine Learning Applications and Compiler Engineer! NVIDIA is seeking engineers to develop algorithms and …
Added Oct 31, 2026
+1 location
We are now looking for a Senior Machine Learning Applications and Compiler Engineer! NVIDIA is seeking engineers to develop algorithms and …
Added Oct 31, 2026
+1 location
Pay posted by employer $190,200–$345,650 per year
… continuous improvement across the organization. What You’ll Need to Succeed MS or PhD in Computer Science, Machine Learning, or a related field—or equivalent industry experience. 10+ years of experience in machine …
Added Oct 27, 2026
We are seeking exceptional Senior Machine Learning and Simulation Engineers to join NVIDIA's Autonomous Vehicles (AV) Simulation team! This role …
Added Oct 27, 2026
Full time (company default) … customers discover brands, stores, dishes, and products across food delivery and quick commerce, owning the machine learning models and strategies behind retrieval and relevance. As the ML Lead for Coupang Eats Search, you …
Added Oct 4, 2026
Pay posted by employer $170,600–$261,300
… safer, smarter, and more connected, shaping the future of transportation on a global scale. As a Senior Machine Learning Engineer on the State Estimation and Mapping (SEAM) organization, you will develop and improve the …
Added Oct 12, 2026
Full time (company default) … hundreds of thousands of merchants and advertisers every month. The Ads Growth team leverages cutting-edge Machine Learning, Generative AI, and Agentic AI technologies to drive Coupang's advertising business growth and …
Added Oct 4, 2026
… But we do more than that. Our company is a place that prioritizes being a force for good, a place to expand learning , explore new perspectives and reimagine new possibilities, every day. We look for people who want to bring …
Added Oct 27, 2026
+1 location
… with evolving and maintaining a best-in-class video advertising business. Our mission is to advance AI and machine learning capabilities across Ad Platform by delivering scalable, high impact AI/ML and data science …
Added Oct 27, 2026
… Ignores ones that don't. Pragmatism Ships 80% solutions. Knowing when good enough is good enough. Curiosity Learning new tools and tech eagerly. Not precious about their stack. Low ego Celebrates team wins. Admits mistakes. …
Added Oct 16, 2026
Full time (company default) … in Computer Science or related fields 5+ years of experience in AI/ML and familiarity with the latest deep learning techniques Preferred Qualifications 10+ years of relevant experience in technology companies or …
Added Oct 31, 2026
MINIMUM QUALIFICATIONS · employer excerpt 5-8 years of progressive experience in software engineering, platform development, or a related technical field, with a strong focus on building scalable and resilient systems. Minimum of 1-2 years of hands-on, in-depth experience specifically with Generative AI (Gen AI) and Agentic AI technologies, platforms, and frameworks (e.g., LangChain, LlamaIndex, AutoGen, Glean, etc.). Proven track record of designing, developing, and deploying complex integrations and custom connectors for enterprise-level applications.
About this opportunity Original employer description COMPANY OVERVIEW
We exist to make food the world loves. But we do more than that. Our company is a place that prioritizes being a force for good, a place to expand learning, explore new perspectives and reimagine new possibilities, every day. We look for people who want to bring their best — bold thinkers with big hearts who challenge one another and grow together. Because becoming the undisputed leader in food means surrounding ourselves with people who are hungry for what’s next.


OVERVIEW
General Mills, Digital and Technology India, is seeking a Sr. ML Engineer (Agentic Engineer) to join the D&T AI and Automation (AIA) Organization. The Sr. ML Engineer (Agentic Engineer) will be a key technical leader within the Digital & Technology organization, focused on building the next generation of Agentic AI and ML platforms that power data-driven decision making at scale.
This team builds enterprise-level scalable and sustainable AI solution pipelines and Agentic workflows to serve the AI and Agentic needs of business-impacting problem statements, maintains cloud and agentic platforms, and explores new complementary tooling for AI and Intelligent automation requirements.
KEY ACCOUNTABILITIES
As part of the team, you will be working as a Sr. Agentic Engineer to operationalize key strategic Agentic and ML Systems ecosystem capabilities.
Advanced Agentic Platform Enablement: Lead the technical enablement, integration, and continuous enhancement of advanced agentic AI platforms, workflow design, agentic architecture ensuring they adhere to stringent performance, scalability, reliability, and security standards. This includes evaluating new agentic-first platforms, tools and frameworks.Custom Connector & Integration Development: Architect, design, develop, and implement robust custom connectors and integration solutions to seamlessly connect diverse data sources, enterprise applications, and external services with our agentic platforms.API Design, Testing & Integration: Drive the design, development, and rigorous testing of APIs, ensuring secure, reliable, and efficient integration with both internal and external systems to support agentic workflows.Agent Orchestration & Workflow Management: Develop, implement, and optimize sophisticated strategies for orchestrating complex agent workflows, managing inter-agent communication, and enhancing decision-making processes within the platform to achieve desired business outcomes.Monitoring, Observability & Reliability Engineering: Strong understanding and working knowledge to collaborate with other engineering teams to establish, implement and support comprehensive monitoring and observability capabilities for Agentic workflows across multiple platforms.Knowledge of LLM Ops (Agent quality, telemetry, and FinOps) Working knowledge of end-to-end telemetry for agents (tracing, feedback loops, success metrics, cost and latency dashboards), for driving continuous evaluation of agent quality, safety, and ROI (e.g., task success, deflection, CSAT, cycle-time). Use these insights to tune prompts, tools, and workflows.ML Systems Engineering: Research, operationalize, and standardize ML tooling and processes, including installation, maintenance, documentation, and best practices.Generative & Agentic AI Architecture Knowhow: Comprehensive knowledge and working experience (preferred) of setting up an Agentic ecosystem with a hyperscaler like Google Cloud Platform (GCP) or Amazon Web Services(AWS).Platform Optimization & Lifecycle Management: Conduct ongoing optimization, performance tuning, and lifecycle management of agentic platforms and their underlying capabilities, including bug fixes, security patches, and capacity planning.Drive Agile Agentic POCs: Strong working knowledge and experience to develop & lead solution prototypes from ideation, scoping, implementation, and future road mapping with internal and vendor led teams. Drive agile POC execution with focus on hands-on capability validation on new emerging tools and platforms.Expert-Level Troubleshooting & Support: Provide advanced technical support and expert-level troubleshooting for complex issues related to agentic platform functionality, integrations, and performance, performing root cause analysis and implementing preventative measures.Technical Documentation Excellence: Create and maintain comprehensive, high-quality technical documentation for platform architecture, custom connectors, API specifications, operational procedures to ensure knowledge transfer and system maintainability.Governance & Best Practices: Help develop, collaborate, and establish Governance best practices, enterprise standards for Agentic tooling & new agentic solutions.Security & Compliance: Ensure all platform development and integrations adhere to enterprise security policies, data privacy regulations, and compliance standards.Embrace learning mindset: Continually invest in your own knowledge and skillset through formal training, reading, and attending conferences and meetups. MINIMUM QUALIFICATIONS Education: Bachelor’s or Master’s degree in a quantitative field (Computer Science, Software Engineering, Artificial Intelligence, Data Science, etc) or a closely related technical field.
Experience:
5-8 years of progressive experience in software engineering, platform development, or a related technical field, with a strong focus on building scalable and resilient systems. Minimum of 1-2 years of hands-on, in-depth experience specifically with Generative AI (Gen AI) and Agentic AI technologies, platforms, and frameworks (e.g., LangChain, LlamaIndex, AutoGen, Glean, etc.). Proven track record of designing, developing, and deploying complex integrations and custom connectors for enterprise-level applications. Technical Skills:
Expert-level proficiency in at least one modern programming language (e.g., Python, Java, Go) with a strong emphasis on writing clean, efficient, and maintainable code. Deep understanding and extensive experience with API design principles, development, and rigorous testing (RESTful APIs, GraphQL, gRPC). Demonstrated expertise in building custom connectors and integrating diverse systems, including enterprise applications (e.g., Salesforce, SAP, ServiceNow) and various data sources. Good understanding/Working experience of agent orchestration frameworks, multi-agent systems, and techniques for managing complex agent interactions and decision flows. Extensive experience with major cloud platforms (Google Cloud Platform is preferred) and their AI/ML services (Vertex AI is preferred). Proficiency in establishing and utilizing monitoring, logging, and observability tools (e.g., Prometheus, Grafana, ELK stack, Datadog, Splunk) to ensure platform health and performance. Working knowledge of MCP connections, RAG, Vectors, Embeddings and Indexing, Knowledge graph and Oauth Flows. Strong understanding of CI/CD. Strong understanding of orchestration frameworks such as Airflow, Kubeflow etc. Soft Skills:
Exceptional problem-solving and analytical capabilities, with a keen eye for detail and a proactive approach to identifying and resolving complex technical challenges. Superior communication and collaboration skills, with the ability to articulate technical concepts clearly to both technical and non-technical stakeholders. Ability to thrive in a fast-paced, dynamic environment, working both independently and as a key contributor within cross-functional teams. Passion for learning new technologies and solving challenging problems. Ability to mentor others and lead the team in technology and best practices.
PREFERRED QUALIFICATIONS
Understanding of the Consumer-Packaged Goods (CPG) industry. Familiarity with AI/ML lifecycle stages and MLOps concepts. Background in building, maintaining, and supporting traditional ML pipelines in a GCP environment. Strong understanding and practical experience with MLOps principles and practices, including CI/CD for AI/ML workflows, model versioning, and deployment strategies. Experience with containerization technologies (Docker, Kubernetes) and orchestration platforms. Familiarity with Infrastructure as Code (IaC) tools (e.g., Terraform, CloudFormation) is a plus. Ability to collaborate cross functional teams and provide tech mentorship to other stakeholders. Strong leadership potential with the ability to mentor junior engineers and drive best practices. 

ELIGIBILITY
Applicants must meet minimum age qualifications in the country in which the job is located.
Why this result? · Employer labels All keywords in title
Full time Hybrid Information Technology Regular
