Machine Learning Engineering Director leads the strategy, architecture, and delivery of models at ... Own cloud-native platform design and delivery across Azure and AWS, ensuring scalability ...
Machine Learning Engineering Director leads the strategy, architecture, and delivery of models at ... Own cloud-native platform design and delivery across Azure and AWS, ensuring scalability ...
Acceleration Center- Agentic AI and Machine Learning Developer- Experienced Associate
Chicago, IL · On-site
$61K - $100K/yr
Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials ...
Acceleration Center- Agentic AI and Machine Learning Developer- Experienced Associate
Chicago, IL · On-site
$61K - $100K/yr
Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials ...
... machine learning and scientific computing. * Provide oversight and hands-on support for the ... interns on a project basis, as needed. * Participate in interviewing and evaluation of new talent ...
... machine learning and scientific computing. * Provide oversight and hands-on support for the ... interns on a project basis, as needed. * Participate in interviewing and evaluation of new talent ...
Senior Manager - Machine Learning
Chicago, IL · On-site +1
The Role We are seeking a Senior Manager to lead our Machine Learning (ML) team in the subrogation ... Proficiency with AWS cloud and MLOps (Sagemaker, Lambda, Stepfunctions, IAM) * Strong software ...
Senior Manager - Machine Learning
Chicago, IL · On-site +1
The Role We are seeking a Senior Manager to lead our Machine Learning (ML) team in the subrogation ... Proficiency with AWS cloud and MLOps (Sagemaker, Lambda, Stepfunctions, IAM) * Strong software ...
The Role We are seeking a Senior Manager to lead our Machine Learning (ML) team in the subrogation ... Proficiency with AWS cloud and MLOps (Sagemaker, Lambda, Stepfunctions, IAM) * Strong software ...
The Role We are seeking a Senior Manager to lead our Machine Learning (ML) team in the subrogation ... Proficiency with AWS cloud and MLOps (Sagemaker, Lambda, Stepfunctions, IAM) * Strong software ...
Platform Engineer, AI Capability Center Hub
Chicago, IL · On-site +1
$161K - $218K/yr
AWS Machine Learning or DevOps, Azure AI-102, or Kubernetes (CKA). General Required Skills * 5 to 8 years in ML or AI platform work or MLOps, including 1 to 2 years leading. * Hands-on running AI ...
Platform Engineer, AI Capability Center Hub
Chicago, IL · On-site +1
$161K - $218K/yr
AWS Machine Learning or DevOps, Azure AI-102, or Kubernetes (CKA). General Required Skills * 5 to 8 years in ML or AI platform work or MLOps, including 1 to 2 years leading. * Hands-on running AI ...
Platform Engineer, AI Capability Center Hub
Chicago, IL · Remote
$161K - $218K/yr
AWS Machine Learning or DevOps, Azure AI-102, or Kubernetes (CKA). General Required Skills * 5 to 8 years in ML or AI platform work or MLOps, including 1 to 2 years leading. * Hands-on running AI ...
Platform Engineer, AI Capability Center Hub
Chicago, IL · Remote
$161K - $218K/yr
AWS Machine Learning or DevOps, Azure AI-102, or Kubernetes (CKA). General Required Skills * 5 to 8 years in ML or AI platform work or MLOps, including 1 to 2 years leading. * Hands-on running AI ...
AWS (AABG) Mid-Market Technical Architect
Chicago, IL · On-site
$66.75 - $87.50/hr
... machine learning, and generative AI implementations. * Conduct independent quality assessments and architecture reviews of in-flight projects to evaluate solution soundness, adherence to enterprise ...
AWS (AABG) Mid-Market Technical Architect
Chicago, IL · On-site
$66.75 - $87.50/hr
... machine learning, and generative AI implementations. * Conduct independent quality assessments and architecture reviews of in-flight projects to evaluate solution soundness, adherence to enterprise ...
AI Technical Architect
Chicago, IL · On-site
$68.25 - $82.50/hr
Familiarity with a variety of Machine Learning, NLP, and deep learning algorithms. * Exposure in developing API using Flask/Django. * Good experience in cloud infrastructure such as AWS, Azure or GCP
AI Technical Architect
Chicago, IL · On-site
$68.25 - $82.50/hr
Familiarity with a variety of Machine Learning, NLP, and deep learning algorithms. * Exposure in developing API using Flask/Django. * Good experience in cloud infrastructure such as AWS, Azure or GCP
... machine learning models to solve real-world problems and apply it to tasks such as NLP ... AWS esp. using AWS tools like Sagemaker, EC2, Glue, etc. • Have good understanding about the ...
... machine learning models to solve real-world problems and apply it to tasks such as NLP ... AWS esp. using AWS tools like Sagemaker, EC2, Glue, etc. • Have good understanding about the ...
Applied AI/ML - Vice President
Chicago, IL · On-site
$137K - $235K/yr
You will apply your expertise in machine learning toolkits and algorithms to identify, build, and ... Experience with building and deploying ML models on AWS esp. using AWS tools like Sagemaker, EC2 ...
Applied AI/ML - Vice President
Chicago, IL · On-site
$137K - $235K/yr
You will apply your expertise in machine learning toolkits and algorithms to identify, build, and ... Experience with building and deploying ML models on AWS esp. using AWS tools like Sagemaker, EC2 ...
... internship offer. Who You Are: * Currently enrolled in a PhD program in Statistics, Computer Science, Machine Learning, Mathematics, or a related STEM field with outstanding academic performance
... internship offer. Who You Are: * Currently enrolled in a PhD program in Statistics, Computer Science, Machine Learning, Mathematics, or a related STEM field with outstanding academic performance
You will apply your expertise in machine learning toolkits and algorithms to identify, build, and ... Experience with building and deploying ML models on AWS esp. using AWS tools like Sagemaker, EC2 ...
You will apply your expertise in machine learning toolkits and algorithms to identify, build, and ... Experience with building and deploying ML models on AWS esp. using AWS tools like Sagemaker, EC2 ...
You will apply your expertise in machine learning toolkits and algorithms to identify, build, and ... Experience with building and deploying ML models on AWS esp. using AWS tools like Sagemaker, EC2 ...
You will apply your expertise in machine learning toolkits and algorithms to identify, build, and ... Experience with building and deploying ML models on AWS esp. using AWS tools like Sagemaker, EC2 ...
You will apply your expertise in machine learning toolkits and algorithms to identify, build, and ... Experience with building and deploying ML models on AWS esp. using AWS tools like Sagemaker, EC2 ...
You will apply your expertise in machine learning toolkits and algorithms to identify, build, and ... Experience with building and deploying ML models on AWS esp. using AWS tools like Sagemaker, EC2 ...
Backend / Frontend Developer Intern
Chicago, IL · On-site
$19.75 - $26/hr
... and AWS for cloud deployment. This internship is ideal for candidates who are passionate about ... Support the develop, evaluate, and improve statistical and machine learning models to use in ...
Quick apply
Backend / Frontend Developer Intern
Chicago, IL · On-site
$19.75 - $26/hr
... and AWS for cloud deployment. This internship is ideal for candidates who are passionate about ... Support the develop, evaluate, and improve statistical and machine learning models to use in ...
Backend / Frontend Developer Intern
Chicago, IL · On-site
$19.75 - $26/hr
... and AWS for cloud deployment. This internship is ideal for candidates who are passionate about ... Support the develop, evaluate, and improve statistical and machine learning models to use in ...
Backend / Frontend Developer Intern
Chicago, IL · On-site
$19.75 - $26/hr
... and AWS for cloud deployment. This internship is ideal for candidates who are passionate about ... Support the develop, evaluate, and improve statistical and machine learning models to use in ...
... internship offer. Who You Are: * Currently enrolled in a PhD program in Statistics, Computer Science, Machine Learning, Mathematics, or a related STEM field with outstanding academic performance
... internship offer. Who You Are: * Currently enrolled in a PhD program in Statistics, Computer Science, Machine Learning, Mathematics, or a related STEM field with outstanding academic performance
AI Transformation Advisory - Senior Associate
Chicago, IL · On-site
$149K - $184K/yr
Certifications in cloud AI platforms (Azure AI Engineer, AWS Machine Learning Specialty, or equivalent). * Prior consulting experience supporting client delivery, business development, or thought ...
AI Transformation Advisory - Senior Associate
Chicago, IL · On-site
$149K - $184K/yr
Certifications in cloud AI platforms (Azure AI Engineer, AWS Machine Learning Specialty, or equivalent). * Prior consulting experience supporting client delivery, business development, or thought ...
Develop state-of-the art machine learning models to solve real-world problems and apply it to tasks ... Experience with building and deploying ML models on AWS esp. using AWS tools like Sagemaker, EC2 ...
Develop state-of-the art machine learning models to solve real-world problems and apply it to tasks ... Experience with building and deploying ML models on AWS esp. using AWS tools like Sagemaker, EC2 ...
Internship Aws Machine Learning information
See Addison, IL salary details
$25.5K - $31.2K
5% of jobs
$33.1K is the 25th percentile. Wages below this are outliers.
$31.2K - $36.9K
59% of jobs
$36.9K - $42.6K
9% of jobs
$43.1K is the 75th percentile. Wages above this are outliers.
$42.6K - $48.3K
17% of jobs
$48.3K - $54K
4% of jobs
$54K - $59.7K
2% of jobs
$59.7K - $65.4K
3% of jobs
$65.4K - $71.1K
0% of jobs
$71.1K - $76.8K
0% of jobs
$76.8K - $82.5K
0% of jobs
$82.5K - $88.2K
0% of jobs
$25.5K
$42.7K
$88.2K
How much do internship aws machine learning jobs pay per year?

Full-time
Medical, Dental, Vision, Life, Retirement, PTO
Posted 29 days ago
U.S. Bank rating
8.2
Based on 358 frontline employees who took The Breakroom Quiz
44th of 149 rated banks
Job description
Job Description
Machine Learning Engineering Director leads the strategy, architecture, and delivery of models at the enterprise level for various use cases. This group enables predictive analytics and data driven decisioning.
This role is responsible for building and scaling secure, resilient, and high-performing platforms that enable enterprise-wide AI adoption. The Engineering Director oversees a team of engineers, ensuring strong execution, operational discipline, and alignment with enterprise standards for risk, compliance, and responsible AI.
Key Responsibilities
- Lead the vision, architecture, roadmap, and provide technical leadership across multiple engineering teams; develop engineering managers and senior engineers while establishing standards, guardrails, and governance models.
- Own cloud-native platform design and delivery across Azure and AWS, ensuring scalability, reliability, performance, and cost optimization.
- Ensure alignment with enterprise requirements for security, data privacy, compliance, and Responsible AI practices.
- Drive cross-functional collaboration with product, risk, security, and business stakeholders to enable secure and scalable AI adoption.
Operational Leadership & Execution Discipline
- Maintain strong awareness of team delivery, technical issues, and platform risks; step in to review designs, code, and architectural decisions as needed.
- Ensure Agile practices are consistently followed, including sprint planning, backlog refinement, and delivery tracking.
- Enforce operational rigor across teams, including keeping Jira artifacts current, transparent, and aligned to priorities.
- Provide ongoing feedback on team performance, resource allocation, and organizational effectiveness to optimize delivery outcomes.
- Manage core people leadership responsibilities, including addressing HR-related matters, supporting employee development, and ensuring team engagement.
- Ensure continuity of delivery through appropriate backup coverage, resource planning, and support during team member absences.
- Oversee administrative responsibilities such as time tracking and compliance with enterprise processes (e.g., timesheets, reporting).
- Continuously identify and drive improvements to increase team velocity, reduce friction, and accelerate platform delivery.
Basic Qualifications
- Bachelor's degree, or equivalent work experience
- 10 or more years of relevant software engineering experience
- Six or more years of experience leading multiple software engineering teams
Required Qualifications
- Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.
- Minimum 5 years of experience managing engineering teams, including direct oversight of engineering managers and senior technical staff.
- 10+ years of experience in software engineering, platform engineering, or related disciplines.
- Proven experience designing and delivering large-scale, distributed systems and cloud-native platforms (Azure and/or AWS).
- Working knowledge of AI/ML and GenAI concepts, including familiarity with LLMs, RAG architectures, and AI application integration (deep specialization not required).
- Familiarity with MLOps practices, including CI/CD concepts for models, monitoring, and lifecycle considerations.
- Experience implementing enterprise-grade security, compliance, and data governance frameworks.
- Demonstrated ability to influence and partner with senior technology and business leadership.
Preferred Qualifications
- Experience supporting or partnering on AI/ML or GenAI platform initiatives.
- Familiarity with Responsible AI, model risk management, or regulatory considerations.
- Experience with API-first platforms and event-driven architectures.
- Background in financial services or other highly regulated industries.
- Experience leading geographically distributed and multi-vendor engineering teams.
This role requires working from a U.S. Bank location three (3) or more days per week.
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:
- 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
Review our full benefits available by employment status here.
U.S. Bank is an equal opportunity employer. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, and other factors protected under applicable law.
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: $159,970.00 - $188,200.00
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 19 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.
Posting may be closed earlier due to high volume of applicants.
What U.S. Bank employees say
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Benefits
Hours and flexibility
Workplace
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About U.S. Bank
Sourced by ZipRecruiter
U.S. Bank is a reputable and established financial institution that plays a significant role in the banking sector. With a history spanning over 150 years, U.S. Bank has built a strong foundation of trust and reliability. As a comprehensive bank, they offer a wide array of financial products and services to cater to the diverse needs of their customers, including individuals, businesses, and communities. Customer satisfaction is of utmost importance to U.S. Bank. They prioritize delivering exceptional service and fostering long-term relationships with their clients. Through their extensive network of branches and advanced digital banking platforms, U.S. Bank ensures convenient access to their services, empowering customers to manage their finances efficiently and securely.
Industry
Banking and credit intermediation
Company size
10,000+ Employees
Headquarters location
Minneapolis, MN, US
Year founded
1863