Applied AI ML [Multiple Positions Available]

JPMorganChase; Palo Alto (CA); On-site; USD 215,000 - 260,000; Full time

Benefits offered by this job

Health care coverage

On-site wellness centers

Retirement savings plan

Tuition reimbursement

Job summary

JPMorganChase in Palo Alto seeks an AI/ML Software Engineer to design automation systems for data analysis and client intelligence, researching ML methods and deploying models to production.

Responsibilities include building large-scale ML frameworks, using PyTorch, TensorFlow, and cloud services, and collaborating with partner teams to scale ML across the business.

Qualifications

• Experience building production NLP and speech systems.
• Ability to design ML experiments from data ingestion to deployment.
• Ability to measure KPIs and cost savings from automation.

Responsibilities

• Design and develop automation-based systems for data analysis and document management.
• Research ML methods for data processing and analysis.
• Develop ML models and deploy them to production.
• Collaborate with partner teams to scale ML across the business.
• Build large-scale frameworks to accelerate ML model application.

Skills

NLP

Speech recognition

Deep learning

Model evaluation

A/B testing

Data preprocessing

Experiment design

Cloud computing

Education

Master's degree in Computational Data Science

Master's degree in Computer Science

Tools

PyTorch

TensorFlow

HuggingFace

Keras

Scikit-learn

NLTK

SpaCy

Rasa NLU

NumPy

Pandas

Spark

Elasticsearch

Job description

JOB DESCRIPTION

Duties: Design and develop automation-based systems for data analysis, document management, and client intelligence. Research machine learning methods for data processing and analysis. Develop machine learning models to solve real-world problems and apply it to tasks such as Natural Language Processing, speech recognition, time-series predictions, reinforcement learning, and recommendation systems. Collaborate with multiple partner teams to deploy solutions into production. Develop large-scale frameworks to accelerate the application of machine learning models across different areas of the business.

Description

Duties: Design and develop automation-based systems for data analysis, document management, and client intelligence. Research machine learning methods for data processing and analysis. Develop machine learning models to solve real-world problems and apply it to tasks such as Natural Language Processing, speech recognition, time-series predictions, reinforcement learning, and recommendation systems. Collaborate with multiple partner teams to deploy solutions into production. Develop large-scale frameworks to accelerate the application of machine learning models across different areas of the business.

Qualifications

Minimum education and experience required: Master's degree in Computational Data Science, Computer Science, Electrical Engineering, Mathematics, Operations Research, or Data Science or related field of study plus 1 year of experience in the job offered or as Applied AI ML, Software Engineer, Analyst in Engineering Division, Research and Development Team, or related occupation.

Skills Required: This position requires experience with the following: Developing and deploying production-ready NLP and speech recognition systems; Designing and developing machine learning experiments and frameworks, including data ingestion, augmentation, generation, feature extraction, end-to-end model training, fine‑tuning, performance evaluation and monitoring, robustness and integration testing, A/B testing, interpretability analysis, and visualization; Outlining and evaluating intrinsic and extrinsic model performance metrics aligned with business goals, including deriving extrinsic KPIs incorporating cost per model and cost savings from automation; Preparing and analyzing data quality metrics, including completeness and consistency; Using distributed deep learning, data processing, and model training frameworks, including PyTorch, TensorFlow, HuggingFace, Keras, SKlearn, NLTK, spaCy, Rasa NLU, Numpy, Pandas, and Spark; Processing large datasets, training scalable models, and deploying models on multiple CPUs and GPUs using Cloud‑Native Managed Services including as AWS, Azure, and GCP; Applying machine learning techniques, including logistic regression, gradient‑boosted trees, and deep learning approaches including RNN and CNN to NLP and Speech applications; Employing Elasticsearch inverted‑index, BM25 ranking, and custom analyzers; Leveraging pretrained Transformer encoders including BERT, Sentence‑Transformers, and spaCy for text understanding and extraction; Performing A/B testing and data‑driven product development, including hypothesis and metrics design, randomization, statistical testing, multiple comparisons, error controls, and experiment monitoring; Implementing continuous integration for ML models, including pipeline definition and triggering using Jenkins, GitLab CI/CD, GitHub Actions; Artifact packaging, containerizing and deployment using Docker; Developing unit tests for ML, including module‑level test cases, edge‑case and invariant tests, coverage and static analysis, and test parameterization and fixtures; Automating hyperparameter searches using TensorFlow, PyTorch, and Keras; Tracking training runs and metrics using TensorBoard.

Job Location: 3203 Hanover St, Palo Alto, CA 94304.

Full‑Time. Salary: $215,000 - $260,000 per year.

About Us

JPMorganChase, 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. 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 our FAQs for more information about requesting an accommodation.

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

About The Team

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success.