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Machine Learning Assistant Jobs in West Chester, PA

Eisneramper Llp

AI Consulting Manager

Conshohocken, PA · On-site

... machine learning, and emerging technologies to solve complex business challenges. This role is ... * Assist in developing AI strategies, roadmaps, and solution recommendations aligned with client ...

Eisneramper Llp

AI Consulting Manager

Philadelphia, PA · On-site

... machine learning, and emerging technologies to solve complex business challenges. This role is ... * Assist in developing AI strategies, roadmaps, and solution recommendations aligned with client ...

Athenago

Data Science Intern

Wilmington, DE · On-site

We clear the way by pairing exceptional Executive Assistants with our driven clients, providing ... Strong foundation in statistics and machine learning concepts (regression, classification ...

Villanova University

Mentor

Villanova, PA · On-site

$27.58 - $29.12/hr

Perform other duties and assist with projects as assigned. Minimum Qualifications: Formal Education ... Demonstrated experience with Artificial Intelligence and/or Machine Learning (academic, research ...

Burro

Senior Robotics AI Engineer

Philadelphia, PA · On-site

$160K - $180K/yr

We are seeking a Senior Robotics AI Enginee r with strong applied machine learning and robotics ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

Burro

Senior Robotics AI Engineer

Philadelphia, PA

$160K - $180K/yr

We are seeking a Senior Robotics AI Enginee r with strong applied machine learning and robotics ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

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All JobsMachine Learning JobsMachine Learning Assistant JobsMachine Learning Assistant Jobs in West Chester, PA

Machine Learning Assistant information

See West Chester, PA salary details

$12

$17

$21

How much do machine learning assistant jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for machine learning assistant in West Chester, PA is $17.10, according to ZipRecruiter salary data. Most workers in this role earn between $15.48 and $18.22 per hour, depending on experience, location, and employer.

What is a machine learning assistant?

A Machine Learning Assistant is a professional who supports the development, implementation, and maintenance of machine learning models and systems. They assist data scientists and engineers by preparing datasets, conducting preliminary data analysis, running experiments, and helping to optimize algorithms. This role often involves coding, testing models, and ensuring the quality and reliability of machine learning solutions. Machine Learning Assistants play a key role in streamlining workflows and enabling faster progress in AI projects.

What are the key skills and qualifications needed to thrive as a machine learning assistant?

To thrive as a Machine Learning Assistant, a solid background in mathematics, statistics, programming (often Python), and foundational knowledge of machine learning algorithms is essential, typically supported by a relevant degree or coursework. Familiarity with tools like TensorFlow, scikit-learn, Jupyter Notebooks, and version control systems such as Git is commonly required. Strong problem-solving abilities, attention to detail, and the capability to communicate findings effectively are standout soft skills in this role. These skills ensure accurate data analysis, effective model building, and successful collaboration within multidisciplinary teams.

What are some common challenges a machine learning assistant may face when supporting data preparation and model training?

Machine Learning Assistants often encounter challenges such as cleaning large, unstructured datasets, identifying and handling missing or inconsistent data, and ensuring data privacy compliance. They also need to communicate effectively with data scientists and engineers to understand project requirements and adapt to evolving priorities. Staying organized and managing multiple tasks simultaneously—such as data preprocessing, feature engineering, and running model experiments—is crucial for success in this role.

What are the most commonly searched types of Machine Learning jobs in West Chester, PA?

The most popular types of Machine Learning jobs in West Chester, PA are:

What cities near West Chester, PA are hiring for Machine Learning Assistant jobs?

Cities near West Chester, PA with the most Machine Learning Assistant job openings:

Machine Learning Assistant jobs near you
Infographic showing various Machine Learning Assistant job openings in West Chester, PA as of August 2026, with employment types broken down into 1% As Needed, 69% Full Time, 27% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $35,560 per year, or $17.1 per hour.

Lead Software Engineer - Java Full Stack & AWS

JPMorgan Chase & Co.

Wilmington, DE • On-site

Full-time

Medical, Retirement

Re-posted 7 days ago

JPMorgan Chase & Co. rating

7.9

Company rating: 7.9 out of 10

Based on 500 frontline employees who took The Breakroom Quiz

77th of 175 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

About Us
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
About the Team
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.

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