Machine Learning Engineer, AI Studio

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $129.7k - $175.4k / year

⏰ Full Time

🟠 Senior

🔴 Lead

🤖 AI Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Amgen

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1980

🏥 Healthcare

🧬 Biotechnology

💊 Pharmaceuticals

💰 $28.5G Post-IPO Debt on 2022-12

Healthcare • Biotechnology • Pharmaceuticals

Amgen is a global leader in biotechnology, focusing on the development and commercialization of innovative medicines made from living cells. The company aims to treat serious illnesses, often targeting diseases with limited therapeutic options. Amgen emphasizes scientific innovation and is committed to ethical research, patient safety, and environmental sustainability. It actively engages in clinical trials and is known for its contributions to the fields of cancer treatment and obesity management among others.

📋 Description

• Independently own defined production components within enterprise AI products and automation solutions • Design, release, diagnose and support components while connecting technical measures to user and workflow outcomes • Define component boundaries, intended use, acceptance criteria, non-functional requirements, decision consequences, support expectations and technical estimates with product and architecture partners • Design and implement maintainable Python, SQL, API, data, model, retrieval, agent-tool and workflow components with clear contracts, configuration, testing, error handling and documentation • Apply EDA, feature engineering, supervised or unsupervised methods, baselines, cross-validation, leakage prevention, calibration, subgroup, threshold, explainability and error analysis where relevant • Build GenAI, NLP, RAG and bounded agent components using structured output, embeddings, hybrid search, reranking, provenance, citations, permissions, approvals, retries and recoverable failure behaviour • Engineer batch or event-driven data, document, feature, embedding, label and evaluation pipelines with schema validation, lineage, provenance, access control and consistency checks • Define representative evaluation for model quality, uncertainty, retrieval, grounding, citations, task success, tool correctness, safety, latency, cost and user impact • Release and support components using cloud services, containers, CI/CD, versioning, monitoring, rollback, incident response and runbooks • Lead diagnosis of moderately complex failures • Apply security, privacy, Responsible AI, validation, auditability, human oversight and applicable GxP controls • Contribute reusable assets and guide Associate engineers on familiar work

🎯 Requirements

• Master’s degree OR Bachelor’s degree and 2 years of Computer Science, IT or related field experience OR Associate’s degree and 6 years of Computer Science, IT or related field experience OR High school diploma / GED and 8 years of Computer Science, IT or related field experience • Demonstrated ownership of at least one production software, data, ML, GenAI or automation component • Strong hands-on proficiency in Python and SQL, with sound software-engineering and testing practices • Strong capability in at least one of classical ML, GenAI/RAG/agents or MLOps/platform engineering, with working knowledge of adjacent areas • Experience with advanced ML and deep learning tools and methods, including PyTorch, TensorFlow, Hugging Face, scikit-learn, XGBoost, PyMC, computer vision, NLP, GNNs, causal inference or uncertainty estimation • Experience with advanced GenAI and knowledge systems, including LangChain, LangGraph, LlamaIndex, Semantic Kernel, AutoGen, CrewAI, hybrid retrieval, knowledge graphs, graph RAG or evidence verification • Experience with AWS, Bedrock or SageMaker, Databricks, Spark, Kubernetes, infrastructure as code, MLflow, Airflow, Kubeflow or GitHub Actions • Familiarity with MCP-style integration, agent tracing, adversarial testing, durable workflows, permissions, human review, BI or process automation • Experience in healthcare, life sciences, GxP, validated systems or another regulated or high-impact environment • Independent problem solving and sound component-level technical judgment • Clear communication of assumptions, evidence, trade-offs, risks and support implications • Strong collaboration with business SMEs, product, architecture, software, data, platform, evaluation and control partners • Ownership, reliability and disciplined follow-through from design through production support • Ability to guide junior engineers and learn new tools through evidence-based experimentation

🏖️ Benefits

• A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions • Group medical, dental and vision coverage • Life and disability insurance • Flexible spending accounts • A discretionary annual bonus program • Stock-based long-term incentives • Award-winning time-off plans • Flexible work models where possible • Career development opportunities • Work/life balance • Financial plans with opportunities to save towards retirement or other goals