1

Executive Full Stack Machine Learning Engineer Jobs in Delaware

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

next page

Showing results 1-20

Executive Full Stack Machine Learning Engineer information

Will AI replace full-stack dev?

As an Executive Full Stack Machine Learning Engineer, it is unlikely that AI will fully replace full-stack developers, as their roles require complex problem-solving, creativity, and understanding of business needs that AI cannot replicate. AI tools can automate certain coding tasks and improve efficiency, but human oversight and expertise remain essential for designing, integrating, and maintaining full-stack applications. The evolving landscape emphasizes collaboration between AI and developers rather than replacement.

What engineer makes $500,000 a year?

An executive full stack machine learning engineer can earn $500,000 or more annually, especially with extensive experience, advanced skills in AI and software development, and working at large tech companies or startups with competitive compensation packages. High salaries often include base pay, bonuses, and stock options, reflecting seniority and expertise in the field.

Will MLE be replaced by AI?

An Executive Full Stack Machine Learning Engineer designs and implements AI systems, but AI is a tool that complements rather than replaces such roles. While automation and AI advancements can handle certain tasks, skilled engineers are needed for developing, maintaining, and improving complex machine learning solutions. Continuous learning and expertise in programming, data analysis, and model deployment remain essential in this field.

What is the salary of full-stack machine learning engineer?

The salary of a full-stack machine learning engineer typically ranges from $100,000 to $150,000 annually, depending on experience, location, and company size. Senior roles or those requiring specialized skills in deep learning or cloud platforms may offer higher compensation.

What is the difference between Executive Full Stack Machine Learning Engineer vs Data Scientist?

AspectExecutive Full Stack Machine Learning EngineerData Scientist
CredentialsBachelor's/Master's in CS, Engineering, or related; often requires experience in ML and full stack developmentBachelor's/Master's in Data Science, Statistics, or related; strong analytical and statistical skills
Work EnvironmentDevelops end-to-end ML solutions, integrates backend and frontend, collaborates with engineering teamsAnalyzes data, builds models, visualizes insights, often in research or analytics teams
Industry UsageUsed in tech companies, startups, and enterprises deploying ML productsCommon in research institutions, analytics firms, and data-driven organizations

The Executive Full Stack Machine Learning Engineer focuses on building and deploying complete ML solutions, combining software engineering and data science skills. In contrast, Data Scientists primarily analyze data and develop models without necessarily handling full stack development. Both roles require strong technical credentials but differ in scope and daily tasks.

What are popular job titles related to Executive Full Stack Machine Learning Engineer jobs in Delaware? For Executive Full Stack Machine Learning Engineer jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Executive Full Stack Machine Learning Engineer jobs in Delaware look for? The top searched job categories for Executive Full Stack Machine Learning Engineer jobs in Delaware are:
What cities in Delaware are hiring for Executive Full Stack Machine Learning Engineer jobs? Cities in Delaware with the most Executive Full Stack Machine Learning Engineer job openings:
Lead Software Engineer - Java Full Stack & AWS

Lead Software Engineer - Java Full Stack & AWS

JPMorgan Chase & Co

Wilmington, DE • On-site

Full-time

Medical, Retirement

Re-posted 4 days ago


JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 486 frontline employees who took The Breakroom Quiz

55th of 145 rated banks


Job description

Join a dynamic team at the forefront of machine learning-enabled digital assistance, where you'll help transform the call center agent experience through real-time guidance, workflow automation, and intelligent decision support. 

As a Lead Software Engineer (Vice President) at JPMorganChase within the Machine Learning and Intelligence Operations Virtual Agent Assist team, you'll be a core technical contributor on an agile team that enhances, builds, and delivers trusted, market-leading technology products in a secure, stable, and scalable way. You'll partner across product, design, and engineering to deliver critical solutions that support the firm's business objectives while raising the bar on reliability and developer excellence.

Job responsibilities

  • Design and deliver end-to-end full-stack features that improve agent workflows and customer outcomes using Java, Spring Boot, REST APIs, and modern user interface frameworks
  • Build secure, high-quality production services and user experiences, and apply sound engineering practices to ensure maintainability and performance
  • Lead technical design discussions and drive solution architecture across backend and frontend components, balancing speed, quality, and long-term scalability
  • Implement automation and proactive monitoring to reduce recurring issues and improve the operational stability and resiliency of the platform
  • Review code, provide actionable feedback, and raise engineering standards through testing discipline, design patterns, and continuous improvement
  • Partner with product managers, designers, data and machine learning partners, and other engineering teams to deliver solutions aligned to business needs
  • Evaluate third-party solutions and integration approaches, and make recommendations that fit enterprise architecture, security, and reliability expectations
  • Identify technical risks early, propose mitigation strategies, and communicate progress and trade-offs clearly to stakeholders

Required qualifications, capabilities and skills

  • Formal training or certification on software engineering concepts and 5+ years applied experience
  • 5+ years of experience building and delivering full-stack web applications in enterprise environments
  • Advanced proficiency in Java and experience building services with Spring and RESTful application programming interfaces
  • Strong experience building modern web user interfaces using React and JavaScript/TypeScript
  • Experience designing distributed systems using messaging and caching technologies such as Kafka and Redis
  • Proficiency with SQL and hands-on experience with relational database design and development
  • Experience building delivery automation, including continuous integration and continuous delivery pipelines and infrastructure provisioning using Terraform
  • Strong testing discipline, including unit, integration, and automated testing using frameworks such as JUnit, Cucumber, Selenium, or Playwright
  • Demonstrated ability to lead technical delivery, influence design decisions, and collaborate effectively across teams

Preferred qualifications, capabilities and skills

  • Experience with micro-frontend architecture patterns and large-scale single-page application design
  • Experience building and operating cloud-based applications aligned to twelve-factor principles
  • Experience with Amazon Web Services, including ECS, S3, DynamoDB, RDS, and ElastiCache
  • Familiarity with Python and applied generative artificial intelligence patterns (for example, agent-based workflows)
  • Strong mentoring skills, including coaching engineers through design reviews, code reviews, and problem solving

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. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, 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

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.

What JPMorgan Chase & Co. employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom