채용
필수 스킬
AWS
GCP
Azure
Machine Learning
The mission of the Digital Intelligence team is to leverage large-scale computation, substantial datasets, and machine learning to enhance our most crucial customer products across a broad spectrum. We manage a wide array of impactful products and services, reaching countless customers and households. We place high value on our customers' direct feedback and employ a truly agile methodology to incorporate improvements that enhance user experiences.
As a Sr. Machine Learning Engineer in the Digital Intelligence team, you will leverage large-scale computation, substantial datasets, and machine learning to enhance our most crucial customer products across a broad spectrum. Your expertise will promote the team to solve complex relevance and ranking problems, develop scalable features, and manage ML Ops for building innovative systems that benefit our customers across all lines of business.
Job Responsibilities:
- Oversee the analysis of complex datasets to inform decisions on real-world applications.
- Lead the development and implementation of models and algorithms to enhance existing systems, processes, and products.
- Supervise data analysis activities and ensure effective visualizations are provided.
- Ensure the writing and deployment of software code in production systems is efficient and meets standards.
- Anticipate risks associated with machine learning solutions and prediction/classification systems and strategize mitigation.
- Communicate complex issues clearly and credibly to senior management and stakeholders.
- Foster a transparent cross-functional work environment and influence peers and team members to uphold these standards.
Required qualifications, capabilities and skills:
- Master's degree in computer Science, Machine Learning or related field with 5-7 years of relevant experience Ph.D in computer Science, Machine Learning, or a related field with 3 year of experience.
- Expertise in one or more of the following areas: machine learning, Graph learning, recommendation systems, network analysis, natural language processing, Reinforcement learning, MLOps, Gen AI, LLMs.
- Solid understanding of core CS concepts, including common data structures and algorithms.
Preferred qualifications, capabilities and skills:
- Experienced in conducting design and code reviews.
- Proficient in cloud environments such as AWS, GCP, or Azure.
- Experienced in managing and deriving insights from large, both unstructured and structured datasets.
총 조회수
0
총 지원 클릭 수
0
모의 지원자 수
0
스크랩
0
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JPMorgan Chase 소개

JPMorgan Chase
PublicJPMorgan Chase & Co. is an American multinational banking institution headquartered in New York City and incorporated in Delaware. It is the largest bank in the United States, and the world's largest bank by market capitalization as of 2025.
300,000+
직원 수
New York City
본사 위치
$500B
기업 가치
리뷰
3.8
10개 리뷰
워라밸
3.5
보상
4.0
문화
3.8
커리어
3.2
경영진
2.8
68%
친구에게 추천
장점
Good benefits and compensation
Supportive colleagues and environment
Flexible work arrangements
단점
Long hours and heavy workload
Management issues and lack of direction
High stress and expectations
연봉 정보
44개 데이터
Mid/L4
Senior/L5
Mid/L4 · Applied AI ML Associate
2개 리포트
$188,500
총 연봉
기본급
$145,000
주식
-
보너스
-
$182,000
$195,000
면접 경험
4개 면접
난이도
3.0
/ 5
소요 기간
14-28주
합격률
50%
경험
긍정 25%
보통 75%
부정 0%
면접 과정
1
Application Review
2
HR Screen
3
Hiring Manager Interview
4
In-person/Final Interview
5
Offer
자주 나오는 질문
Behavioral/STAR
Past Experience
Culture Fit
Financial Knowledge
Case Study
뉴스 & 버즈
JPMorgan Chase & Co. (NYSE:JPM) Shares Down 1% - Here's Why - MarketBeat
MarketBeat
News
·
Today
JPMorganChase adding 400 jobs in Charlotte as part of consolidation - Queen City News
Queen City News
News
·
Today
SPONSORED How JPMorganChase is scaling support for small businesses - Axios
Axios
News
·
Today
JPMorgan Chase adds Matthews to its growing list of Charlotte-area branches - The Business Journals
The Business Journals
News
·
1d ago