Machine learning engineer Lead (Director level)
Palo Alto, CA, United States
JPMorgan Chase & Co.
The Digital Intelligence team’s mission is to utilize large-scale computation, true large-scale data set, and apply machine-learning to our most critical and wide-range customer products. The number of products and practice areas is large and far-reaching, i.e. we work on products that are impactful to our millions and millions of customers and households. We value our customers’ direct feedback and function in a truly agile way to incorporate changes to improve application experience.
As a Lead Machine Learning Engineer within our Consumer & Community Banking team, you will collaborate on exciting end-to-end machine learning challenges and solutions. You will tackle large scale relevance and ranking issues, engineer scalable features, and participate in ML Ops tasks to construct entirely new systems that will benefit our millions of Chase customers across all business lines
Job Responsibilities:
- Lead complex projects that require cross-organizational alignment and collaboration
- Analyze complex datasets used to make decisions regarding real-world applications
- Investigate the applicability of new approaches to business problems and products by combining theory and experimentation
- Write software code that is built and deployed in production systems
- Anticipate and consider risks when building machine learning solutions and prediction/classification systems
- Communicate complex issues clearly and credibly to consult on and approve team decisions while driving broader organizational actions.
- Work transparently cross-functionally and influence your peers to do the same.
Required qualifications, capabilities and skills:
- Master’s degree with 10+ years of experience of or Ph.D. with 8+ years of experience in Computer Science or Machine Learning related degree with good internships and about 8 or so years of work experience
- Expert in one or more of the following: machine learning, Graph learning, recommendation systems, network analysis, Natural language processing, Reinforcement learning, MLOps
- Comfortable conducting design and code reviews
- Experience with leadership of experienced scientists as well as a record of developing junior members from academia/industry to a career track in a business environment
Preferred qualifications, capabilities and skills :
- A strong technical advocate with a background in Java or Scala, and Python.
- Comfortable working in a cloud environment like AWS/GCP or Azure
- Passionate about working with large unstructured and structured datasets
Chase is a leading financial services firm, helping nearly half of America’s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.
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, discretionary incentive compensation which may be 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.
Equal Opportunity Employer/Disability/Veterans
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile AWS Azure Banking Classification Computer Science GCP Java Machine Learning MLOps NLP Python Reinforcement Learning Scala
Perks/benefits: Career development Competitive pay Health care 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 Data Science Intern jobs
- Open Lead Data Analyst jobs
- Open Power BI Developer jobs
- Open Data Engineer II jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Science Manager jobs
- Open Marketing Data Analyst jobs
- Open Junior Data Scientist jobs
- Open MLOps Engineer jobs
- Open Data Scientist II jobs
- Open Business Intelligence Developer jobs
- Open Business Data Analyst jobs
- Open Product Data Analyst jobs
- Open Data Analytics Engineer jobs
- Open Data Analyst Intern jobs
- Open Sr Data Engineer jobs
- Open Principal Data Scientist jobs
- Open Sr. Data Scientist jobs
- Open Data Engineering Manager jobs
- Open Senior Data Architect jobs
- Open Junior Data Engineer jobs
- Open Big Data Engineer jobs
- Open Research Scientist jobs
- Open Data Quality Analyst jobs
- Open Azure Data Engineer jobs
- Open GCP-related jobs
- Open Java-related jobs
- Open Data quality-related jobs
- Open ML models-related jobs
- Open Business Intelligence-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open PhD-related jobs
- Open Data visualization-related jobs
- Open Deep Learning-related jobs
- Open Finance-related jobs
- Open NLP-related jobs
- Open PyTorch-related jobs
- Open TensorFlow-related jobs
- Open LLMs-related jobs
- Open APIs-related jobs
- Open Generative AI-related jobs
- Open CI/CD-related jobs
- Open Snowflake-related jobs
- Open Consulting-related jobs
- Open Hadoop-related jobs
- Open Kubernetes-related jobs
- Open Data governance-related jobs
- Open Databricks-related jobs
- Open Airflow-related jobs