marathon oil
1001-5000 employees
About marathon oil
Marathon Oil Corporation (NYSE: MRO) is an independent oil and natural gas exploration and production (E&P) company based in Houston, Texas. We're on a transformative journey focused on the lower-cost, higher-margin opportunities in the U. S. resource plays. We remain steadfast in our commitment to be safe, responsible, and ethical. Most importantly, we appreciate our dedicated and talented employees who work to execute our strategy and deliver results. With a strong balance sheet, relentless focus on cost and efficiency, competitive portfolio, and ability to grow our business profitably, our future has never been brighter. With a material position in four of the best oil-rich U. S. resource plays in different stages of development, we offer a variety of career opportunities, whether you're a recent college graduate or an experienced professional. You'll have the tools to develop and refine the skills and knowledge you need to succeed.
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Description
- MARA is redefining the future of sovereign, energy-aware AI infrastructure.
- We’re building a modular platform that unifies IaaS, PaaS, and SaaS which will enable governments, enterprises, and AI innovators to deploy, scale, and govern workloads across data centers, edge environments, and sovereign clouds.
- MARA is seeking a Lead Software Engineer to design, build, and scale systems that power agentic and intelligent workloads across our product ecosystem.
- This role blends deep expertise in machine learning application engineering, prompt orchestration, and retrieval-augmented generation (RAG) with strong software craftsmanship and automation discipline.
- You will lead development of production-grade ML integrations—from model selection and evaluation to deployment pipelines, guardrails, and orchestration frameworks—ensuring that agentic systems are secure, reliable, and explainable.
- The ideal candidate thrives at the intersection of ML infrastructure, applied AI, and modern software engineering.
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Requirements
- 8+ years of professional software engineering experience, including 3+ years in ML application development or AI platform engineering.
- Proficiency in Python, with strong understanding of ML toolchains (PyTorch, Hugging Face, LangChain, MLflow, Ray, etc.).
- Proven experience with model evaluation, fine-tuning, and deployment across cloud and on-prem environments.
- Hands-on experience with RAG architectures and vector databases (Weaviate, Milvus, pgvector, LanceDB, FAISS).
- Deep understanding of prompt design, orchestration, and versioning using CI/CD workflows and automated testing frameworks.
- Familiarity with agentic systems, both code-driven and visual-builder interfaces (LangGraph Studio, Dust, Flowise, Relevance AI, etc.).
- Strong knowledge of guardrail techniques (rule-based filters, policy evaluators, toxicity detection, grounding validation).
- Experience deploying ML systems on Kubernetes and serverless environments with observability (Prometheus, Grafana, OpenTelemetry).
- Solid understanding of API design, microservice architecture, and data pipeline integration.
- Excellent communication and leadership skills, with ability to translate complex ML concepts into actionable engineering outcomes.
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Benefits
- Benefits of working at MARA include opportunities to work on cutting-edge sovereign AI infrastructure.
- Potential benefits such as remote work flexibility, professional development, and collaborative environment are implied but not explicitly listed in the posting.