{"id":3236785,"url":"https://alion.io/job/yahoo-remote-senior-machine-learning-engineer","title":"[Remote] Senior Machine Learning Engineer","company":{"id":2545014,"name":"Yahoo","domain":"yahoomail.com","url":"https://alion.io/company/yahoomail-com","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":128000,"max":267000,"currency":"USD","period":"year","gross":null,"usd_annual":267000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Apollo","optional":false},{"name":"Claude","optional":false},{"name":"Cursor","optional":false},{"name":"GCP","optional":false},{"name":"Hadoop","optional":false},{"name":"Hugging Face","optional":false},{"name":"Java","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"ONNX","optional":false},{"name":"ONNX Runtime","optional":false},{"name":"OpenAI Codex","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Spark","optional":false},{"name":"TensorFlow","optional":false},{"name":"TensorRT-LLM","optional":false},{"name":"Triton","optional":false},{"name":"Triton Inference Server","optional":false},{"name":"vLLM","optional":false},{"name":"TensorRT","optional":true}],"status":"closed","first_seen_at":"2026-10-25T09:17:27Z","employer_posted_date":null,"last_verified_at":"2026-10-25T18:27:15Z","board_verified":false,"closed_at":"2026-10-25T18:27:15Z","days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"Note: The job is a remote job and is open to candidates in USA. Yahoo is a leading technology company known for its innovative consumer products, including Yahoo Mail. They are seeking a Senior Machine Learning Engineer to design and deploy AI/ML capabilities that enhance user experiences and insights across their platform.\n\nResponsibilities\nArchitect & Personalize: Design, build, and deploy high-throughput AI/ML capabilities that power real-time personalization and deep insights for hundreds of millions of users\nGenAI & Agentic Systems: Spearhead the implementation and orchestration of production LLM-backed applications and agentic workflows (prompt engineering, tool integration, and automated feedback loops)\nAI-Driven Execution: Embed AI-first practices into daily development cycles using AI-assisted tools to accelerate iteration, improve code quality, and modernize engineering workflows\nData-Driven Intelligence: Process petabyte-scale data streams using big data processing and ML techniques to derive key insights from mail metadata and content\nInference at Scale: Deploy and optimize ML/LLM models for real-time production serving using modern frameworks (e.g., vLLM, TensorRT-LLM, Triton, ONNX Runtime)\nResilience & Fallback Design: Implement automated feedback loops and graceful recovery paths to handle model failure modes smoothly, maintaining high service availability and user satisfaction\nTradeoff Management: Balance compute costs, latency, quality, and model performance to optimize systems for massive consumer scale\n\nSkills\nBachelor's degree in Computer Science, Data Science, AI, or a related field; or, equivalent experience\n5+ years of professional experience engineering and deploying production machine learning or data science systems at scale\nProficient in Python or Java, with deep hands-on expertise in standard ML frameworks (PyTorch, TensorFlow, Hugging Face, Scikit-learn)\nDemonstrated experience building LLM-based applications or agentic systems (multi-step reasoning, tool usage, RAG, or autonomous workflows)\nExperience deploying and serving models in production using tools like vLLM, TensorRT-LLM, Triton Inference Server, or ONNX Runtime\nHands-on experience processing large datasets using Spark, Hadoop, or cloud-native data pipelines\nExcellent verbal and written communication skills for effective collaboration with cross-functional and global engineering teams\nDirect experience building and scaling ML pipelines on Google Cloud Platform (GCP) or similar native public cloud environments\nPrior experience working with email systems, large-scale consumer web platforms, NLP, or search architecture\nEarly adoption and proactive integration of modern developer tooling (Cursor, Claude, Codex) directly into daily development practices\n\nBenefits\nOur comprehensive benefits include healthcare\nA great 401k\nBackup childcare\nEducation stipends\nMuch (much) more\nIncentive compensation opportunities in the form of discretionary annual bonus or commissions\n\nCompany Overview\nYahoo is a technology and media company that serves users through its portfolio of digital platforms, products, and services. It is a sub-organization of Apollo. It was founded in 1994, and is headquartered in New York, New York, USA, with a workforce of 5001-10000 employees. Its website is http://www.yahoo.com.\n\nCompany H1B Sponsorship\nYahoo has a track record of offering H1B sponsorships, with 197 in 2023, 646 in 2022, 381 in 2021, 463 in 2020. 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