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Machine Learning Software Engineer Intern Jobs in Delaware

JP Morgan Chase

Principal Software Engineer

Wilmington, DE · On-site

$131K - $175.60K/yr

As a Principal Software Engineer at JPMorgan Chase within the Corporate Technology, you will ... Our Machine Learning Engineering leadership team, tackle complex business challenges through ...

Danaher

Software Engineer Internships

Middletown, DE · On-site

As a Software Engineering Intern at Danaher, you'll work alongside experienced engineers developing diagnostic software that powers critical healthcare tools used across the globe. What You Might ...

Danaher

Software Engineer Internships

Seaford, DE

As a Software Engineering Intern at Danaher, you'll work alongside experienced engineers developing diagnostic software that powers critical healthcare tools used across the globe. What You Might ...

Danaher

Software Engineer Internships

Newark, DE

As a Software Engineering Intern at Danaher, you'll work alongside experienced engineers developing diagnostic software that powers critical healthcare tools used across the globe. What You Might ...

Danaher

Software Engineer Internships

Smyrna, DE · On-site

As a Software Engineering Intern at Danaher, you'll work alongside experienced engineers developing diagnostic software that powers critical healthcare tools used across the globe. What You Might ...

Danaher

Software Engineer Internships

Milford, DE

As a Software Engineering Intern at Danaher, you'll work alongside experienced engineers developing diagnostic software that powers critical healthcare tools used across the globe. What You Might ...

Danaher

Software Engineer Internships

Dover, DE · On-site

As a Software Engineering Intern at Danaher, you'll work alongside experienced engineers developing diagnostic software that powers critical healthcare tools used across the globe. What You Might ...

JPMorganChase

Lead Software Engineer

Wilmington, DE · On-site

... machine learning, mobile, etc.) • In-depth knowledge of the financial services industry and their IT systems • Practical cloud native experience Company : With a history tracing its roots to 1799 ...

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Machine Learning Software Engineer Intern information

What are the key skills and qualifications needed to thrive as a Machine Learning Software Engineer Intern, and why are they important?

To thrive as a Machine Learning Software Engineer Intern, you need a solid understanding of programming (especially Python), machine learning algorithms, and data structures, ideally supported by coursework or relevant projects. Familiarity with frameworks such as TensorFlow or PyTorch, experience using version control systems like Git, and knowledge of cloud platforms are highly valuable. Critical thinking, eagerness to learn, and effective communication help interns collaborate with teams and adapt to new challenges. These skills and qualities are crucial for developing robust ML solutions, integrating with production systems, and contributing meaningfully to real-world projects.

What types of projects and responsibilities can a Machine Learning Software Engineer Intern expect during their internship?

As a Machine Learning Software Engineer Intern, you can expect to work on projects that involve data preprocessing, model development, and evaluation under the guidance of experienced engineers and data scientists. Interns often contribute to building and optimizing machine learning pipelines, implementing algorithms, and supporting the deployment of models into production environments. Collaboration is key; you'll likely work closely with cross-functional teams, including product managers and software developers, to ensure your solutions align with business goals. The internship is a great opportunity to gain hands-on experience with industry-standard tools and frameworks while receiving mentorship and feedback to help advance your technical skills.

What does a Machine Learning Software Engineer Intern do?

A Machine Learning Software Engineer Intern assists in the development, testing, and deployment of machine learning models and algorithms. Their responsibilities typically include data preprocessing, model training, evaluation, and collaborating with senior engineers to integrate machine learning solutions into software products. Interns may also contribute to research, documentation, and code optimization, gaining hands-on experience with real-world machine learning projects. This role provides a valuable opportunity to apply academic knowledge in a professional setting and learn from experienced engineers.
Machine Learning Software Engineer Intern jobs near you
Principal Software Engineer

Principal Software Engineer

JPMorgan Chase & Co

Wilmington, DE • On-site

$131K - $175.60K/yr

Full-time

Medical, Retirement

Posted 6 days ago

JPMorgan Chase & Co. rating

8.1

Company rating: 8.1 out of 10

Based on 466 frontline employees who took The Breakroom Quiz

45th of 141 rated banks

Job description

 If you are looking for a game-changing career, working for one of the world's leading financial institutions, you've come to the right place.

As a Principal Software Engineer at JPMorgan Chase within the Corporate Technology, you will provide expertise and engineering excellence as an integral part of an agile team to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Leverage your advanced technical capabilities and collaborate with colleagues across the organization to drive best-in-class outcomes across various technologies to support one or more of the firm's portfolios.

Our Machine Learning Engineering leadership team, tackle complex business challenges through innovation and engineering excellence. In this senior leadership role, you'll leverage your deep technical expertise and strategic vision across the full software development lifecycle while partnering closely with stakeholders to achieve shared objectives

Job responsibilities

  • Partner with product owners to define firm-wide technology strategies and roadmaps across JPMorgan Chase. 
  • Serve as a trusted advisor to senior business and technology stakeholders, translating complex technical concepts into actionable business insights.
  • Provide hands-on thought leadership for building on-premises and cloud-based Machine Learning platforms capable of deploying and running predictive models at scale. 
  • Architect, design, and integrate new solutions within a large-scale enterprise environment of to deliver highly distributed, scalable, secure, and resilient applications.
  • Stay current with industry-wide technology trends, best practices, and emerging developments in Machine Learning.
  • Drive innovation by ensuring JPMorgan Chase maximizes the business benefits of adopting market-leading technology capabilities. 
  • Rapidly evaluate, pilot, and scale new innovations in close collaboration with product owners. 
  • Establish standards, governance frameworks, and best practices for the ML Platform. 
  • Direct implementation of comprehensive monitoring and alerting solutions to ensure optimal performance, scalability, availability, and reliability. 
  • Solve complex problems involving large datasets and optimize existing ML libraries and frameworks. 
  • Work effectively within large, cross-functional teams to achieve organizational goals.

Required qualifications, capabilities, and skills

  • Formal training or certification on software engineering concepts and 10+ years applied experience
  • Proven experience building application frameworks and/or platform development at an enterprise scale.
  • Deep knowledge of solution design patterns and experience building resilient solutions across on-premises and cloud environments, including associated security considerations. 
  • Proven experience in building high-volume, low-latency, high-throughput transactional systems using java & spring boot
  • Strong background with Machine Learning frameworks and Big Data technologies such as spark and hadoop. 
  • Experience working with one or more cloud platform providers, including Azure, AWS, and Databricks.
  • Demonstrated ability to define application solution architecture and technology roadmaps.
  • Exceptional written and verbal communication skills, with the ability to influence and advise senior stakeholders.
  • Proven ability to juggle multiple priorities and deliver effectively in a fast-paced, dynamic environment.
  • Passionate about building an innovative culture and driving continuous improvement.
  • Comfortable working in an Agile, collaborative environment with a commitment to excellence and a customer-first mindset.

Preferred qualifications, capabilities and skills

  • Experience building ML models, including model accuracy assessment, tuning, and optimization. 
  • Experience in MLOps and building model serving applications
  • Experience in working with structured data and NLP models.
  • Experience with Python
  • Certification in Databricks and AWS
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

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.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.

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