below marketmost similar roles pay hereabove market
This role pays less than
77%
of similar roles. Most pay
$185,000–$246,150
— the blue band above.
At the midpoint, this role pays about
$184k
versus about
$216k
for comparable roles.
Based on 240 similar postings.
Employer
About Amgen
Amgen is a leading biotechnology company that discovers, develops, manufactures, and delivers innovative human therapeutics, with products addressing conditions such as anemia, bone loss, inflammation, and cancer. Industry: Biotechnology & Pharmaceuticals
Amgen currently has
66 open roles
on FindRole.
Listed pay typically runs
$156,190–$211,315
across 45 roles with salary data.
The Senior Machine Learning Engineer joins the AI & Data Innovation Lab within the Artificial Intelligence & Data organization. This role focuses on building high-impact AI proofs-of-concept that are scalable, secure, and ready for production. You will translate ambiguous business needs into practical solutions by designing and implementing modern AI systems. Key responsibilities include developing data pipelines, APIs, and cloud-native services while creating reusable technical assets like reference architectures and documentation. You will utilize technologies including LLMs, retrieval-augmented generation, embeddings, vector databases, agentic workflows, and orchestration frameworks. The role requires proficiency in Python, AWS Cloud, containers, CI/CD, and observability. You will solve technical problems by assessing data readiness, integration complexity, and security to provide clear evidence for scaling AI solutions across the enterprise.
What does a Machine Learning Engineer earn in California?
Median $231150 from 191 postings across 27 companies.
Build scalable AI proof-of-concepts designed for enterprise-scale production.
Translate ambiguous business needs into practical AI solutions with measurable value.
Design and implement systems using LLMs, agentic workflows, and RAG.
Validate feasibility by assessing technical risk, data readiness, and security.
Create reusable technical assets including reference architectures and documentation.
Model strong engineering practices and mentor others to raise the technical bar.
Develop data pipelines and cloud-native services using AWS and CI/CD.
What we're looking for
Must have a Doctorate, or a Master’s with 2 years experience, or a Bachelor’s with 4 years experience, or an Associate’s with 8 years experience, or a GED/High School diploma with 10 years experience.
4-6 years of relevant experience in AI, machine learning, software, data, or cloud engineering (preferred).
Experience building full-stack AI-powered applications with a focus on scalability, security, and maintainability (preferred).
Strong understanding of LLMs, RAG, embeddings, vector databases, agentic workflows, and AI evaluation methods (preferred).
Experience with AWS Cloud, data pipelines, containers, CI/CD, and secure development practices (preferred).
Strong software engineering foundation in Python with modern practices like testing and version control (preferred).
Ability to translate ambiguous business problems into practical technical approaches and validate feasibility (preferred).
Excellent communication, ownership, and cross-functional leadership skills (preferred).
Machine Learning
Python
PyTorch
Deep Learning
Natural Language Processing
LLMOps
Kubernetes
AWS
CUDA
vLLM
RAG
Vector Databases
Model Quantization
Big Data
C++
Agile Methodology
Infrastructure Monitoring
GenAI
Algorithms
Remote (Thousand Oaks, CA)4 days ago
$187,395–$253,534
Machine Learning
Generative AI
Python
LLMs
Retrieval-Augmented Generation
AWS
Terraform
CI/CD
APIs
Data Pipelines
Infrastructure as Code
Observability
Full-Stack Development
Version Control
Machine Learning
C++
Python
PyTorch
TensorFlow
Computer Vision
Multi-sensor Fusion
Deep Learning
TensorRT
Transformers
Data Pipelines
Model Optimization
NVIDIA DRIVE AV
Object Detection
Semantic Segmentation