Machine Learning Scientist - Natural Language Processing (NLP) - Senior Associate - Machine Lea[...]

TwinThread; Palo Alto (CA); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Comprehensive health care coverage

Tuition reimbursement

Mental health support

Job summary

JPMorgan Chase is seeking a Machine Learning Scientist – Natural Language Processing (NLP) - Senior Associate in Palo Alto, California. In this role, you will own the entire lifecycle of machine learning solutions, acting as a thought leader in Generative AI to drive transformation.

The ideal candidate has a PhD in a quantitative discipline and a solid background in machine learning methodologies, including hands-on experience with tools like TensorFlow and PyTorch. You will be working in a collaborative environment, making a significant impact within the organization.

Qualifications

• PhD in a quantitative discipline or MS with at least 2 years of relevant experience.
• Solid background and hands-on experience with machine learning methods.
• Ability to design experiments and evaluate metrics for model performance.

Responsibilities

• Develop and deploy machine learning models for Generative AI.
• Collaborate with various teams to implement and deploy solutions.
• Lead initiatives to apply machine learning models firm-wide.

Skills

Generative AI (GenAI)

Machine Learning

Deep Learning

Communication Skills

Education

PhD in a quantitative discipline

Tools

TensorFlow

PyTorch

NumPy

Scikit-Learn

Pandas

Job description

At JPMorgan Chase, AI and technology promote our global operations with unmatched scale and speed. We invest over $18 billion annually in innovation, data leverage, and security to shape the future for our clients, communities, and employees. The Chief Data & Analytics Office (CDAO) accelerates our data and analytics journey, with the Machine Learning Center of Excellence (MLCOE) creating and deploying solutions for complex business challenges. By ensuring data quality and leveraging insights, the CDAO supports our commercial goals, enhancing productivity and risk management through AI and machine learning. The CDAO is also responsible for developing and implementing solutions that support the firm’s commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly.

As a Machine Learning Scientist – Natural Language Processing (NLP) - Senior Associate, you will own the full lifecycle of developing and deploying machine learning solutions, from ideation to production. Acting as a leading voice within JPMC on all things Generative AI (GenAI), you will partner closely with all lines of business to innovate new solutions that drive transformational change for the bank. You will actively participate in our knowledge sharing community, representing your work inside and outside of the firm at leading industry conferences amongst peers and leaders in the space. We seek someone who excels in a highly collaborative, fast‑paced environment, and holds a strong passion for machine learning to make a significant impact at a leading global financial institution.

Job Responsibilities

• Research and develop state‑of‑the‑art machine learning models to solve real‑world problems and apply them to tasks involving Generative AI (GenAI)
• Act as a thought partner for JPMC leaders and help the business identify and implement new machine learning methods that deliver impact
• Drive cross‑functional collaboration with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy, and Business Management to deploy solutions into production
• Lead 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 an MS with at least 2 years of industry or research experience in the field
• Solid background in Generative AI (GenAI) and hands‑on experience and solid understanding of machine learning and deep learning methods and 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
• 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

Preferred Qualifications, Capabilities, and Skills

• Strong background in Mathematics and Statistics; Familiarity with the financial services industries and continuous integration models and unit test development
• Knowledge in search/ranking 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 or Deep Learning at a major conference or journal

Compensation and Benefits

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission‑based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of 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 FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

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