ChatGPT Jobs · 16 hours ago
Sr Machine Learning Engineer -AI/ML- US Remote
United States
Full-time
Remote
Senior Level, Lead/Staff
$164K/yr - $209K/yr
8+ years expAmgen is a biotechnology company seeking a Senior Machine Learning Engineer to build and scale end-to-end machine-learning and generative-AI platforms. The role involves designing core services and infrastructure while collaborating with various teams to enhance the AI developer experience.
Computer Software
Responsibilities
Engineer end-to-end ML pipelines-data ingestion, feature engineering, training, hyper-parameter optimization, evaluation, registration and automated promotion-using Kubeflow, SageMaker Pipelines, Open AI SDK or equivalent MLOps stacks
Harden research code into production-grade micro-services, packaging models in Docker/Kubernetes and exposing secure REST, gRPC or event-driven APIs for consumption by downstream applications
Build and maintain full-stack AI applications by integrating model services with lightweight UI components, workflow engines or business-logic layers so insights reach users with sub-second latency
Optimize performance and cost at scale-selecting appropriate algorithms (gradient-boosted trees, transformers, time-series models, classical statistics), applying quantization/pruning, and tuning GPU/CPU auto-scaling policies to meet strict SLA targets
Instrument comprehensive observability-real-time metrics, distributed tracing, drift & bias detection and user-behavior analytics-enabling rapid diagnosis and continuous improvement of live models and applications
Embed security and responsible-AI controls (data encryption, access policies, lineage tracking, explainability and bias monitoring) in partnership with Security, Privacy and Compliance teams
Contribute reusable platform components-feature stores, model registries, experiment-tracking libraries-and evangelize best practices that raise engineering velocity across squads
Perform exploratory data analysis and feature ideation on complex, high-dimensional datasets to inform algorithm selection and ensure model robustness
Partner with data scientists to prototype and benchmark new algorithms, offering guidance on scalability trade-offs and production-readiness while co-owning model-performance KPIs
Qualification
Required
3-5 years in AI/ML and enterprise software
Comprehensive command of machine-learning algorithms -regression, tree-based ensembles, clustering, dimensionality reduction, time-series models, deep-learning architectures (CNNs, RNNs, transformers) and modern LLM/RAG techniques-with the judgment to choose, tune and operationalize the right method for a given business problem
Proven track record selecting and integrating AI SaaS/PaaS offerings and building custom ML services at scale
Expert knowledge of GenAI tooling: vector databases, RAG pipelines, prompt-engineering DSLs and agent frameworks (e.g., LangChain, Semantic Kernel)
Proficiency in Python and Java; containerization (Docker/K8s); cloud (AWS, Azure or GCP) and modern DevOps/MLOps (GitHub Actions, Bedrock/SageMaker Pipelines)
Strong business-case skills-able to model TCO vs. NPV and present trade-offs to executives
Exceptional stakeholder management; can translate complex technical concepts into concise, outcome-oriented narratives
Master's degree with 8 + years of experience in Computer Science, IT or related field
Bachelor's degree with 10 + years of experience in Computer Science, IT or related field
Preferred
Experience in Biotechnology or pharma industry is a big plus
Published thought-leadership or conference talks on enterprise GenAI adoption
Master's degree in computer science and or Data Science
Familiarity with Agile methodologies and Scaled Agile Framework (SAFe) for project delivery
Company
ChatGPT Jobs
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2-10 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase