- 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.
- 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
- 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
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Machine learning engineer Lead - Palo Alto, United States - JPMorgan Chase Bank, N.A.
Description
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:
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
Base Pay/Salary
Palo Alto,CA $190, $285,000.00 / year