Job Description
At U.S. Bank, we’re on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career. Try new things, learn new skills and discover what you excel at—all from Day One.
Job Description
This lead engineer role will be responsible for the analysis, design, testing, development and maintenance of data and AI software products. The candidate is a self-motivated individual who can collaborate with a team and across the organization. The candidate takes responsibility of the software artifacts produced adhering to U.S. Bank standards in order to ensure minimal impact to the customer experience. The candidate will be adept with the agile software development lifecycle and DevOps principles.
Essential Responsibilities:
• Applying machine learning and new AI technologies to software products, develop and shape our technical strategy to further grow digital solutions for SMB business
• Architect/design infra and software environments needed to both build and run machine learning models and online services
• Develop and implement efficient and scalable machine learning pipelines and workflows for training, validation, and deployment of models.
• Design and build rule engine, enhance it with AI capabilities
• Design and implement data pipeline and software used to acquire and transform the data for use in the models
• Build shared components and/or frameworks that improve engineering productivity across the organization
• Design and implement monitoring and testing frameworks to ensure the accuracy, reliability, and performance of machine learning models in production environments
• Work with other engineering teams to integrate machine learning models into applications and services.
• Deploy and maintain ML Models in production
• Stay up-to-date with the latest trends and best practices in MLOps, machine learning, and data management
• Experience with risk and fraud management is preferred
Basic Qualifications
• Bachelor’s degree, or equivalent work experience
• Six to eight years of relevant experience
Preferred Skills/Experience
• Master’s degree or above, majoring in Computer Science, Data Science or related fields.
• Good hands-on coding skills: Python/Java, SQL, Shell scripting
• Familiar with distributed processing frameworks such as Spark, Flink, Hadoop/Hive
• Familiar with Snowflake and/or Data bricks
• Experience with large scale real-time data ingestion and processing
• Have a solid theoretical and engineering foundation in computer science, machine learning or computer vision, and is familiar with up-to-date technologies including ML pipeline and infra, data mining, rule engine and distributed computing.
• 5+ years of relevant development experience in recommendation systems, ads, time series analysis, image processing, natural language processing etc.
• Experience with AI/ML libraries and frameworks such as TensorFlow, Keras, and PyTorch
• Experience designing system architectures and applications in cloud-based environments and basic MLOps pipeline experience
• Good AWS knowledge and hands-on Terraform development- In-depth understanding of common Machine Learning and Deep Learning algorithms.
• Good team player, communication skills and project management experience.
• Good product sense, and can lead the rhythm in projects.
Location Expectations
The role offers a hybrid/flexible schedule, which means there's an in-office expectation of 3 or more days per week and the flexibility to work outside the office location for the other days.
If there’s anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to our disability accommodations for applicants.
Benefits:
Our approach to benefits and total rewards considers our team members’ whole selves and what may be needed to thrive in and outside work. That's why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind. Our benefits include the following (some may vary based on role, location or hours):
• Healthcare (medical, dental, vision)
• Basic term and optional term life insurance
• Short-term and long-term disability
• Pregnancy disability and parental leave
• 401(k) and employer-funded retirement plan
• Paid vacation (from two to five weeks depending on salary grade and tenure)
• Up to 11 paid holiday opportunities
• Adoption assistance
• Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law
EEO is the Law
U.S. Bank is an equal opportunity employer committed to creating a diverse workforce. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, ****** orientation, gender identity, disability or veteran status, among other factors. Applicants can learn more about the company’s status as an equal opportunity employer by viewing the federal KNOW YOUR RIGHTS EEO poster.
E-Verify
U.S. Bank participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States and certain U.S. territories. The E-Verify program is an Internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services. Learn more about the E-Verify program.
The salary range reflects figures based on the primary location, which is listed first. The actual range for the role may differ based on the location of the role. In addition to salary, U.S. Bank offers a comprehensive benefits package, including incentive and recognition programs, equity stock purchase 401(k) contribution and pension (all benefits are subject to eligibility requirements). Pay Range: $12+,455.00 - $152,300.00 - $167,530.00
U.S. Bank will consider qualified applicants with arrest or conviction records for employment. U.S. Bank conducts background checks consistent with applicable local laws, including the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act as well as the San Francisco Fair Chance Ordinance. U.S. Bank is subject to, and conducts background checks consistent with the requirements of Section 1+ of the Federal Deposit Insurance Act (FDIA). In addition, certain positions may also be subject to the requirements of FINRA, NMLS registration, Reg Z, Reg G, OFAC, the NFA, the FCPA, the Bank Secrecy Act, the SAFE Act, and/or federal guidelines applicable to an agreement, such as those related to ethics, safety, or operational procedures.
Applicants must be able to comply with U.S. Bank policies and procedures including the Code of Ethics and Business Conduct and related workplace conduct and safety policies.
Job postings typically remain open for approximately 20 days of the posting date listed above, however the job posting may be closed earlier should it be determined the position is no longer required due to business need. Job postings in areas with a high volume of applicants, such as customer service, contact center, and Financial Crimes investigations, remain open for approximately 5 days of the posting listed date.
Job Description
This lead engineer role will be responsible for the analysis, design, testing, development and maintenance of data and AI software products. The candidate is a self-motivated individual who can collaborate with a team and across the organization. The candidate takes responsibility of the software artifacts produced adhering to U.S. Bank standards in order to ensure minimal impact to the customer experience. The candidate will be adept with the agile software development lifecycle and DevOps principles.
Essential Responsibilities:
• Applying machine learning and new AI technologies to software products, develop and shape our technical strategy to further grow digital solutions for SMB business
• Architect/design infra and software environments needed to both build and run machine learning models and online services
• Develop and implement efficient and scalable machine learning pipelines and workflows for training, validation, and deployment of models.
• Design and build rule engine, enhance it with AI capabilities
• Design and implement data pipeline and software used to acquire and transform the data for use in the models
• Build shared components and/or frameworks that improve engineering productivity across the organization
• Design and implement monitoring and testing frameworks to ensure the accuracy, reliability, and performance of machine learning models in production environments
• Work with other engineering teams to integrate machine learning models into applications and services.
• Deploy and maintain ML Models in production
• Stay up-to-date with the latest trends and best practices in MLOps, machine learning, and data management
• Experience with risk and fraud management is preferred
Basic Qualifications
• Bachelor’s degree, or equivalent work experience
• Six to eight years of relevant experience
Preferred Skills/Experience
• Master’s degree or above, majoring in Computer Science, Data Science or related fields.
• Good hands-on coding skills: Python/Java, SQL, Shell scripting
• Familiar with distributed processing frameworks such as Spark, Flink, Hadoop/Hive
• Familiar with Snowflake and/or Data bricks
• Experience with large scale real-time data ingestion and processing
• Have a solid theoretical and engineering foundation in computer science, machine learning or computer vision, and is familiar with up-to-date technologies including ML pipeline and infra, data mining, rule engine and distributed computing.
• 5+ years of relevant development experience in recommendation systems, ads, time series analysis, image processing, natural language processing etc.
• Experience with AI/ML libraries and frameworks such as TensorFlow, Keras, and PyTorch
• Experience designing system architectures and applications in cloud-based environments and basic MLOps pipeline experience
• Good AWS knowledge and hands-on Terraform development- In-depth understanding of common Machine Learning and Deep Learning algorithms.
• Good team player, communication skills and project management experience.
• Good product sense, and can lead the rhythm in projects.
Location Expectations
The role offers a hybrid/flexible schedule, which means there's an in-office expectation of 3 or more days per week and the flexibility to work outside the office location for the other days.
If there’s anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to our disability accommodations for applicants.
Benefits:
Our approach to benefits and total rewards considers our team members’ whole selves and what may be needed to thrive in and outside work. That's why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind. Our benefits include the following (some may vary based on role, location or hours):
• Healthcare (medical, dental, vision)
• Basic term and optional term life insurance
• Short-term and long-term disability
• Pregnancy disability and parental leave
• 401(k) and employer-funded retirement plan
• Paid vacation (from two to five weeks depending on salary grade and tenure)
• Up to 11 paid holiday opportunities
• Adoption assistance
• Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law
EEO is the Law
U.S. Bank is an equal opportunity employer committed to creating a diverse workforce. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, ****** orientation, gender identity, disability or veteran status, among other factors. Applicants can learn more about the company’s status as an equal opportunity employer by viewing the federal KNOW YOUR RIGHTS EEO poster.
E-Verify
U.S. Bank participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States and certain U.S. territories. The E-Verify program is an Internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services. Learn more about the E-Verify program.
The salary range reflects figures based on the primary location, which is listed first. The actual range for the role may differ based on the location of the role. In addition to salary, U.S. Bank offers a comprehensive benefits package, including incentive and recognition programs, equity stock purchase 401(k) contribution and pension (all benefits are subject to eligibility requirements). Pay Range: $12+,455.00 - $152,300.00 - $167,530.00
U.S. Bank will consider qualified applicants with arrest or conviction records for employment. U.S. Bank conducts background checks consistent with applicable local laws, including the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act as well as the San Francisco Fair Chance Ordinance. U.S. Bank is subject to, and conducts background checks consistent with the requirements of Section 1+ of the Federal Deposit Insurance Act (FDIA). In addition, certain positions may also be subject to the requirements of FINRA, NMLS registration, Reg Z, Reg G, OFAC, the NFA, the FCPA, the Bank Secrecy Act, the SAFE Act, and/or federal guidelines applicable to an agreement, such as those related to ethics, safety, or operational procedures.
Applicants must be able to comply with U.S. Bank policies and procedures including the Code of Ethics and Business Conduct and related workplace conduct and safety policies.
Job postings typically remain open for approximately 20 days of the posting date listed above, however the job posting may be closed earlier should it be determined the position is no longer required due to business need. Job postings in areas with a high volume of applicants, such as customer service, contact center, and Financial Crimes investigations, remain open for approximately 5 days of the posting listed date.
💡 Quick Summary
Seeking a career-building opportunity? The Lead Software Engineer | AI | ML position is now open for candidates interested in the Bank Jobs sector. This role in Atlanta offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Bank Jobs is a plus.
