Lead Software Engineer - AI/ML
Jersey City, NJ, United States
JPMorgan Chase & Co.
The A12 team is an elite machine learning group strategically located within the CTO office of JP Morgan Chase which tackles business critical priorities using innovative machine learning techniques and technologies with a focus on machine learning for Software, Cybersecurity and Technology Infrastructure.
As a Lead Software Engineer at JPMorgan Chase within the Corporate Sector, specifically the AI2 Team, you will be instrumental in collaborating with various business and engineering teams across the firm. Your role will involve executing long-term projects that require substantial machine learning development to support the growth of JPMorgan Chase businesses. Leveraging your software engineering experience, you will contribute to the design, development, deployment, delivery, and maintenance of AI products for our clients. You will work alongside other engineers and research scientists to build and maintain the software and infrastructure that enables our team to develop and deliver innovative AI products that meet our customers' needs in a production environment.
Job responsibilities
- Collaborates with data scientists and research/machine learning engineers to deliver products to production.
- Builds and maintains data pipelines for analytics, model evaluation and training (includes versioning, compliance, and validation).
- Builds and maintains scalable infrastructure as code in the cloud (private & public).
- Builds frontend interfaces leveraging modern web stacks.
- Contributes significantly to architecture and software management discussions & tasks
- Develops/establishes reusable components and patterns that assist in rapid prototyping and overall software development around AI/ML products:
- Builds and automates and maintains our AI/ML data pipelines & workstream from data analysis, experimentation, model training, model evaluation, deployment, operationalization, and tuning to visualization.
- Improves and maintains our automated CI/CD pipeline while collaborating with our stakeholders, various testing partners and model contributors.
- Increases our deployment velocity, including the process for deploying models and data pipelines into production.
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 5+ years applied experience
- Proven programming/scripting skills with multiple modern programming languages including Python, Java, TypeScript and similar.
- Experience with web development frameworks ex. React, Vue.js or similar.
- Passion for building great user experiences for the clients, attention to detail.
- Experience in cloud infrastructure such as AWS, GCP or Azure
- Hands-on experience with software design, problem solving and debugging skills.
- Strong interpersonal skills; able to work independently as well as in a team.
- Experience with database systems such as Elasticsearch, DynamoDB, Aurora, BigQuery, Postgres, Cassandra, Redis.
- Experience in containerization and infrastructure as code: Docker/Kubernetes/Terraform
Preferred qualifications, capabilities, and skills
- Developing best practices and code reviews.
- Ability to continuously learn and share best practices and provide guidance to less experienced colleagues as they learn.
- Experience with deep learning frameworks such as TensorFlow or Pytorch.
- Experience with data labelling, validation, provenance, and versioning.
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
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture AWS Azure Banking BigQuery Cassandra CI/CD Data analysis Data pipelines Deep Learning Docker DynamoDB Elasticsearch Engineering GCP Java Kubernetes Machine Learning Model training Pipelines PostgreSQL Prototyping Python PyTorch React Research TensorFlow Terraform Testing TypeScript Vue
Perks/benefits: Career development Competitive pay Health care Startup environment Wellness
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Lead Data Analyst jobs
- Open Data Science Manager jobs
- Open MLOps Engineer jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Engineer II jobs
- Open Data Manager jobs
- Open Principal Data Engineer jobs
- Open Power BI Developer jobs
- Open Data Scientist II jobs
- Open Junior Data Scientist jobs
- Open Business Data Analyst jobs
- Open Data Analytics Engineer jobs
- Open Sr Data Engineer jobs
- Open Product Data Analyst jobs
- Open Business Intelligence Developer jobs
- Open Data Analyst Intern jobs
- Open Sr. Data Scientist jobs
- Open Senior Data Architect jobs
- Open Big Data Engineer jobs
- Open Manager, Data Engineering jobs
- Open Principal Data Scientist jobs
- Open Data Quality Analyst jobs
- Open Research Scientist jobs
- Open Azure Data Engineer jobs
- Open Data Product Manager jobs
- Open Data quality-related jobs
- Open GCP-related jobs
- Open Java-related jobs
- Open Business Intelligence-related jobs
- Open ML models-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open PhD-related jobs
- Open Deep Learning-related jobs
- Open Finance-related jobs
- Open Data visualization-related jobs
- Open PyTorch-related jobs
- Open TensorFlow-related jobs
- Open APIs-related jobs
- Open NLP-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open CI/CD-related jobs
- Open LLMs-related jobs
- Open Generative AI-related jobs
- Open Kubernetes-related jobs
- Open Hadoop-related jobs
- Open Data governance-related jobs
- Open Airflow-related jobs
- Open Docker-related jobs