Sr. Machine Learning Engineer
Jersey City, NJ, United States
JPMorgan Chase & Co.
The mission of the Digital Intelligence team is to leverage large-scale computation, substantial datasets, and machine learning to enhance our most crucial customer products across a broad spectrum. We manage a wide array of impactful products and services, reaching countless customers and households. We place high value on our customers' direct feedback and employ a truly agile methodology to incorporate improvements that enhance user experiences.
As a Manager in Consumer & Community Banking leading the Applied Machine Learning team, you will oversee and guide end-to-end machine learning projects. Your leadership will drive the team to solve complex relevance and ranking problems, develop scalable features, and manage ML Ops for building innovative systems that benefit Chase customers across all lines of business
Job Responsibilities:
* Oversee the analysis of complex datasets to inform decisions on real-world applications.
* Lead the development and implementation of models and algorithms to enhance existing systems, processes, and products.
* Supervise data analysis activities and ensure effective visualizations are provided.
* Ensure the writing and deployment of software code in production systems is efficient and meets standards.
* Anticipate risks associated with machine learning solutions and prediction/classification systems and strategize mitigation.
* Communicate complex issues clearly and credibly to senior management and stakeholders.
* Foster a transparent cross-functional work environment and influence peers and team members to uphold these standards.
Required qualifications:
* Master's degree with 3 to 5 years of relevant experience or Ph.D in computer Science, Machine Learning, or a related field with proven leadership in managing technical teams.
* Expertise in one or more of the following areas: machine learning, Graph learning, recommendation systems, network analysis, natural language processing, Reinforcement learning, MLOps.
* Solid understanding of core CS concepts, including common data structures and algorithms.
Preferred qualifications:
* Experienced in conducting design and code reviews.
* Proficient in cloud environments such as AWS, GCP, or Azure.
* Experienced in managing and deriving insights from large, both unstructured and structured datasets.
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: Agile AWS Azure Banking Classification Computer Science Data analysis GCP Machine Learning MLOps NLP Reinforcement Learning
Perks/benefits: Career development Competitive pay Health care Team events Wellness
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