Machine Learning Scientist - Quant AI - Senior Associate - Machine Learning Center of Excellence jobs in United States
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hackajob · 17 hours ago

Machine Learning Scientist - Quant AI - Senior Associate - Machine Learning Center of Excellence

positionPalo Alto, CA
timeFull-time
remoteOnsite
seniorityMid, Senior Level
date2+ years exp

hackajob is collaborating with J.P. Morgan to connect them with exceptional tech professionals for this role. As a Machine Learning Scientist - Quant AI - Senior Associate, you will work in a collaborative environment to deploy machine learning solutions that support the firm's commercial goals and enhance decision-making processes.

Artificial Intelligence (AI)Generative AIHuman ResourcesRecruitingSoftware

Responsibilities

Research, develop, and productionize high-performance machine learning and quantitative models
Collaborate with JPMorgan's lines of business to deliver impactful software solutions
Design and implement scalable data processing pipelines to optimize business results

Qualification

Machine LearningDeep LearningPythonC/C++JavaTensorFlowPyTorchETL pipelinesData processingAnalytical thinkingCloud computingDistributed systemsDerivatives modelingPortfolio managementCommunicationTeamworkSelf-motivatedCritical thinking

Required

PhD in a quantitative discipline (e.g., Computer Science, Electrical Engineering) with 2 years of industry experience, or MS with 5 years of experience
Proficient in programming languages such as C/C++, Java, or Python
2 years of experience in software development and data structures
Deep knowledge in Machine Learning, Deep Learning, and related fields
Experience with major machine learning frameworks like TensorFlow and PyTorch
Skilled in ETL pipelines and real-time data processing
Strong analytical and critical thinking skills
Self-motivated, with excellent communication and teamwork abilities

Preferred

Experience with computational graphs and JIT compilation
Knowledge of hardware accelerators, GPUs, and profiling tools
Familiarity with cloud computing platforms (Google Cloud, AWS, Azure)
Experience in distributed system design and development
Background in derivatives modeling or portfolio management

Benefits

Comprehensive health care coverage
On-site health and wellness centers
A retirement savings plan
Backup childcare
Tuition reimbursement
Mental health support
Financial coaching

Company

hackajob

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The AI-native tech hiring platform trusted by enterprises, scale-ups, and 1M+ tech professionals worldwide.
dateFounded in 2014
location
London, England, GBR
people-size51-200 employees
web-link
http://www.hackajob.com

Funding

Current Stage
Growth Stage
Total Funding
$33M
Key Investors
Volition CapitalAVP,Downing VenturesDowning Ventures
2023-05-03Series B· $25M
2018-10-25Series A· $6.7M
2017-03-31Seed· $0.58M

Leadership Team

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Mark Chaffey
CEO
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Phil Kell
VP - Marketplace
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Recent News

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Company data provided by crunchbase