Machine Learning Scientist - Natural Language Processing (NLP) - Vice President - Machine Learning Center of Excellence

JPMorgan Chase Bank, N.A.
New York, US
$164.4K-$260K a year
Full-time

Join the Chief Data & Analytics Office (CDAO) at JPMorgan Chase, a team dedicated to enhancing the firm's data and analytics journey, ensuring data quality, integrity, and security, and leveraging it to promote decision-making.

We harness artificial intelligence and machine learning to support commercial goals, develop new products, and enhance risk management.

We're offering opportunities at Sr. Associate, Vice President, and Executive Director level in New York, Palo Alto, and Seattle, WA.

As a Machine Learning Scientist, you'll tackle complex challenges, apply advanced methods to tasks like natural language processing, and work collaboratively with diverse teams.

Passion for machine learning and strong analytical thinking are a must. As a Machine Learning Scientist - Natural Language Processing (NLP) - Vice President - Machine Learning Center of Excellence within the Machine Learning Center of Excellence, you will have the unique opportunity to apply sophisticated machine learning methods to a wide variety of complex tasks.

You will collaborate with various teams to deploy solutions into production and promote firm-wide initiatives. You will also have the chance to independently study, research, and experiment with new innovations in the field.

This role offers a chance to profoundly transform how the bank operates. Job Responsibilities

  • Research and explore new machine learning methods through independent study, attending industry-leading conferences, experimentation and participating in our knowledge sharing community
  • Develop state-of-the art machine learning models to solve real-world problems and apply it to tasks such as NLP, speech recognition and analytics, time-series predictions or recommendation systems
  • Collaborate with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions into production
  • Drive Firm wide initiatives by developing large-scale frameworks to accelerate the application of machine learning models across different areas of the business Required qualifications, capabilities, and skills
  • PhD in a quantitative discipline, e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science or a MS with at least three years of industry or research experience in the field
  • Solid background in NLP or speech recognition and analytics, personalization / recommendation and hands-on experience and solid understanding of machine learning and deep learning methods
  • Extensive experience with machine learning and deep learning toolkits (e.g. : TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas)
  • Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals
  • Experience with big data and scalable model training and solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences.
  • Scientific thinking with the ability to invent and to work both independently and in highly collaborative team environments
  • Solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences.

Curious, hardworking and detail-oriented, and motivated by complex analytical problems Preferred qualifications, capabilities, and skills

  • Strong background in Mathematics and Statistics and familiarity with the financial services industries and continuous integration models and unit test development
  • Knowledge in search / ranking, Reinforcement Learning or Meta Learning
  • Experience with A / B experimentation and data / metric-driven product development, cloud-native deployment in a large scale distributed environment and ability to develop and debug production-quality code
  • Published research in areas of Machine Learning, Deep Learning or Reinforcement Learning at a major conference or journal JPMorgan Chase & Co.

one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.

P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set, and location.

For those in eligible roles, we offer discretionary incentive compensation which may be awarded in recognition of firm performance and individual achievements and contributions.

We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more.

Additional details about total compensation and benefits will be provided during the hiring process. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success.

We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law.

We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.

Visit our FAQs for more information about requesting an accommodation. JPMorgan Chase is an Equal Opportunity Employer, including Disability / Veterans Base Pay / Salary Seattle,WA $164,350.

00 - $260,000.00 / year; Palo Alto,CA $164,350.00 - $260,000.00 / year; New York,NY $164,350.00 - $260,000.00 / year

20 days ago
Related jobs
JPMorgan Chase
New York, New York

Machine Learning Scientist - NLP - Vice PresidentThe Machine Learning Center of Excellence invites the successful candidate to apply sophisticated machine learning methods to a wide variety of complex tasks including natural language processing, speech analytics, time series, reinforcement learning ...

Promoted
JP Morgan Chase & Co.
New York, New York

Comprised of a multi-disciplinary community of experts focused exclusively on Machine Learning, the MLCOE employs cutting-edge techniques in disciplines such as Deep Learning and Reinforcement Learning in domains such as natural language processing, speech analytics, time series, graph analytics and...

JPMorgan Chase & Co.
New York, New York

As a Machine Learning ScientistNLP & Time Series - Vice President within the Machine Learning Center of Excellence, you will have the unique opportunity to apply sophisticated machine learning methods to a wide variety of complex tasks. As a Machine Learning Scientist, you'll apply sophisticated ...

Promoted
Capital One Financial Corporation
New York, New York

As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and pe...

SAMSUNG
New York, New York

Closely work with the machine learning team to define and improve machine learning products. As a data scientist of the Samsung Ads Platform Intelligence (PI) team, you will have access to unique Samsung proprietary data to address existing product challenges, uncover new revenue/profit opportunitie...

Promoted
The Bank of New York Mellon Corporation
New York, New York

This role is part of the Credit Risk Audit team which is responsible for independent coverage of the Global Credit Risk Framework including the risk undertaken and owned by the Lines of Business (First Line of Defense) as well as the Credit Risk Management function (Second Line of Defense) which ens...

S&P Global
New York, New York
Remote

In this role, you will play a pivotal role in implementing our machine learning engineering operations, ensuring the seamless deployment, monitoring, and management of our machine learning models and data pipelines. As a Lead ML Engineer, you will contribute to the deployment, monitoring, and manage...

Celonis
New York, New York

Operate independently as a member of a cross-functional team, consistently advocating to push quality left and drive customer satisfaction of our product offerings. At Celonis, our EPE (Engineering Product Excellence) Chapter consistently works to improve processes across agile teams and shift testi...

Federal Reserve Bank (FRB)
New York, New York

Your Role: * Creates the end-to-end learner experience using modern best practices and technologies that enable effective skill building and behavior change * Executes on learning and development initiatives, eliciting feedback, and measuring their success * Develops st...

Figure8
New York, New York
Remote

Reporting to the Chief Executive Officer, the Vice President of Marketing will be responsible for overseeing the company’s end-to-end growth marketing efforts during a period of company expansion. Directing all online and offline marketing programs including Paid Search, Out-of-Home, Email Marketing...