채용
복지 및 혜택
•Healthcare
•401(k)
•Equity
•Flexible Hours
•Remote Work
필수 스킬
Machine Learning
Agentic AI
MLOps
Systems Design
Platform Engineering
Career Category
Engineering
Job Description
Position Overview
The GCF5 Sr Machine Learning Engineer is the senior technical leader for the Agentic & ML Platform pillar. They define and socialize platform standards and patterns, lead multi-team delivery, mentor GCF4 engineers, and translate scientific needs into scalable ML/agentic platform designs. They own pillar-level adoption, reliability, and SLA/SLO outcomes, and influence cross-team engineering quality.
This role reports to the GCF7 leader and partners closely with peer GCF5 domain leads across SCIP to ensure cohesive, scalable platform evolution.
Core Responsibilities
- Own the ML and agentic platform technical roadmap within SCIP.
- Design and operationalize reusable ML/agentic infrastructure components enabling repeatable deployment.
- Define evaluation harnesses and model release gates.
- Establish monitoring, rollback, and observability practices for production ML systems.
- Implement guardrails and operational controls for safe agentic workflows.
- Define reproducibility standards and artifact versioning practices.
- Lead architecture reviews for ML platform evolution.
- Mentor engineers and elevate ML engineering rigor.
- Partner with research stakeholders to translate AI use cases into scalable platform capabilities.
Core Competencies
- Deep expertise in the assigned pillar (Agentic & ML Platform) (Agentic‑ML) with evidence of standard‑setting and reuse.
- Systems design at scale (ML); performance, security, and observability fundamentals.
- Product/engineering thinking: road mapping, prioritization, and outcome‑oriented delivery.
- Stakeholder influence across science, engineering, and governance forums; crisp written/verbal communication.
Core Success Measures
- Adoption rate of standardized ML platform components.
- Evaluation coverage across supported ML use cases.
- Reduction in model regressions and production ML incidents.
- Time-to-deploy new ML use cases.
- Reproducibility rate of experiments and deployments.
- Reduction in safe-use escalations.
Key Relationships
- Collaborates with GCF6 Group Lead and cross‑functional leaders (R&D/PD/Dev).
- Mentors and develops GCF4 Data and Software Engineers, partners with platform, data, ML, and research teams.
- Interfaces with governance (architecture, security, compliance) and vendor/partner teams.
Decision Authority
- Approve designs within the pillar; define and waive standards/patterns with rationale.
- Recommend buy‑vs‑build; commit pillar resources to meet SLAs/SLOs; escalate risks.
- Prioritize pillar backlog and roadmap in alignment with strategy and OKRs.
Qualifications
Basic Qualifications:
- BS+8 / MS+6 / PhD in CS/Engineering/Data disciplines.
- Demonstrated production delivery experience in ML/agentic platforms at scale.
- Demonstrated literacy in a relevant scientific domain (e.g., biology, chemistry, therapeutic discovery).
Preferred Qualifications:
- Depth in the assigned pillar (Agentic & ML Platform).
- Kubernetes and continuous integration/continuous delivery (CI/CD) at scale; observability, performance tuning, and security-by-design.
- Evidence of standard‑setting and cross‑team influence; mentoring experience.
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Amgen 소개

Amgen
PublicA biotechnology company that develops and manufactures human therapeutics for various illnesses and diseases.
10,001+
직원 수
Thousand Oaks
본사 위치
$138B
기업 가치
리뷰
3.6
10개 리뷰
워라밸
3.2
보상
4.1
문화
3.4
커리어
2.8
경영진
3.5
65%
친구에게 추천
장점
Excellent benefits and health benefits
Good pay and compensation
Supportive management and strong leadership
단점
Limited career growth and promotion opportunities
Work-life balance challenges and long hours
Bureaucratic processes
연봉 정보
1,244개 데이터
Junior/L3
L2
L3
L4
L5
L6
M3
M4
M5
M6
Mid/L4
Senior/L5
Staff/L6
Junior/L3 · Data Scientist
0개 리포트
$100,368
총 연봉
기본급
-
주식
-
보너스
-
$85,234
$115,502
면접 경험
5개 면접
난이도
3.0
/ 5
소요 기간
14-28주
합격률
40%
경험
긍정 20%
보통 80%
부정 0%
면접 과정
1
Application Review
2
HR Screen
3
Hiring Manager Interview
4
Technical/Role-Specific Interview
5
Panel Interview
6
Offer
자주 나오는 질문
Technical Knowledge
Behavioral/STAR
Past Experience
Data Analysis/Statistics
Culture Fit
뉴스 & 버즈
Amgen (AMGN) Laps the Stock Market: Here's Why - Yahoo Finance Singapore
Yahoo Finance Singapore
News
·
3d ago
UBS Sees Continued Upside in Amgen (AMGN), Lifts Target to $400 - Insider Monkey
Insider Monkey
News
·
4d ago
Amgen Inc. $AMGN Shares Sold by Whittier Trust Co. - MarketBeat
MarketBeat
News
·
4d ago
AE Wealth Management LLC Has $43.90 Million Holdings in Amgen Inc. $AMGN - MarketBeat
MarketBeat
News
·
4d ago