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Associate Machine Learning Jobs in Glassboro, NJ

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Associate Machine Learning information

See Glassboro, NJ salary details

$30.5K

$128.7K

$304.1K

How much do associate machine learning jobs pay per year?

As of Aug 22, 2026, the average yearly pay for associate machine learning in Glassboro, NJ is $128,652.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,500.00 and $195,300.00 per year, depending on experience, location, and employer.

What does an associate machine learning engineer do?

An Associate Machine Learning Engineer assists in designing, developing, and deploying machine learning models under the supervision of senior engineers. They handle tasks such as data preprocessing, model evaluation, and maintaining machine learning pipelines. Associates often collaborate with data scientists, software engineers, and business teams to ensure that machine learning solutions are integrated effectively into products or services. This role is typically entry-level or early career and is a stepping stone toward more advanced machine learning positions.

What are the key skills and qualifications needed to thrive as an associate machine learning engineer?

To thrive as an Associate Machine Learning Engineer, you need a solid background in mathematics, programming (especially Python), and foundational machine learning concepts, usually supported by a relevant degree. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and experience with data processing libraries and version control systems is typically required. Strong analytical thinking, problem-solving ability, and effective collaboration skills help you stand out in this role. These competencies are essential for developing robust models, working efficiently with teams, and delivering impactful data-driven solutions.

What are some common challenges faced by associate machine learning professionals when transitioning from academic projects to real-world business applications?

Associate Machine Learning professionals often find that moving from academic or theoretical projects to business-focused environments introduces new challenges. Real-world datasets can be messy, incomplete, or imbalanced, requiring additional data cleaning and preprocessing. Moreover, business timelines may require rapid prototyping and iterative model development, which is different from the more open-ended nature of academic research. Collaborating with cross-functional teams such as data engineers, product managers, and business stakeholders is also essential to align models with organizational goals. Adapting to these practical aspects is key to succeeding in an Associate Machine Learning role.

What is the difference between Associate Machine Learning vs Data Scientist?

AspectAssociate Machine LearningData Scientist
Required CredentialsBachelor's degree in CS, Data Science, or related field; some roles may require certifications in ML or AIBachelor's or Master's in CS, Statistics, or related; often requires experience with data analysis and programming
Work EnvironmentEntry-level, team-based projects, focused on supporting ML models and data preprocessingMore autonomous, involved in data analysis, model development, and interpretation
Employer & Industry UsageTech companies, startups, research labs; roles in AI and ML teamsWide range of industries including tech, finance, healthcare, and consulting

While both roles involve working with data and machine learning, an Associate Machine Learning typically focuses on supporting ML projects with less experience, whereas a Data Scientist has broader responsibilities including data analysis, model development, and strategic insights. The roles often overlap but differ in scope and experience level.

What are the most commonly searched types of Machine Learning jobs in Glassboro, NJ?

The most popular types of Machine Learning jobs in Glassboro, NJ are:

What cities near Glassboro, NJ are hiring for Associate Machine Learning jobs?

Cities near Glassboro, NJ with the most Associate Machine Learning job openings:

Associate Machine Learning jobs near you

Quant Analytics Senior Associate - Point of Sales Capabilities

JPMorgan Chase & Co.

Wilmington, DE • On-site

Full-time

Medical, Retirement

Posted 26 days ago

JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 495 frontline employees who took The Breakroom Quiz

71st of 171 rated banks

Job description


Step into an exciting role as a Quant Analytics Associate on our Point of Sale Capabilities (POS) team, where you'll use data and technology to help stop fraud and keep payments safe. If you enjoy solving problems and working with big data, you'll thrive in this collaborative and innovative environment.
As a Quant Analytics Associate Senior within the POS Capabilities team you will join a forward thinking team that seeks to prevent plastics fraud through innovating analytics, advancing machine learning models, and modernizing authorization platforms. Work with cross line of business partners to drive benefits in all aspects of fraud prevention through advancing technology capabilities, identifying new data sources, and improving analytic techniques. The ideal candidate should be a self-driven problem solver that is capable of analyzing big data, understanding complex systems, identifying opportunities, creating solutions and leading large scale projects
Job Responsibilities
  • Understand the full lifecycle of a point of sale transaction, identify improvement opportunities and execute on them
  • Contribute to key technical projects by making design recommendations and ensuring that all business needs are met
  • Build, develop and maintain new capabilities that support fraud decisioning rules, data models, KPI monitoring and reporting, performance metrics systems and data automation systems
  • Partner with the Consumer and Community Banking (CCB) Risk Modeling team to advance our machine learning models by improving modeling techniques, identifying new variables, and improving the model update cycle
  • Seek to improve internal analytical techniques and introduce best practices to help improve on key business metric and the ability to work collaboratively with cross-functional partners to understand and address key business challenges
  • Identify business opportunity by performing well thought analysis - data mining, ensuring data integrity, synthesizing, and communication findings to senior management
  • Provide clear and concise oral and written communication across various functions and levels, inclusive of the broader fraud strategy team and cross-functional teams, including interpreting large amounts of complex data to formulate problem statement, concise conclusions regarding underlying risk dynamics, trends, and opportunities as well as performing ad hoc analysis and deliver updates on key projects to leadership teams
  • Stay on top of the industry trends and adopt industry best practices

Required qualifications, capabilities, and skills
  • MS degree with 5+ years Risk Management or other quantitative experience
  • Excellent collaboration and partnership skills with proven track record in working well with internal teams and external partners
  • Proven track record in solving business problems, and/or Project Management Skills -- well-organized, structured approach. Ability to achieve tight timelines on complex deliverables
  • Advanced understanding of SAS, SQL, and Python
  • Proven ability to query large amounts of data and transform the raw data into actionable management information
  • Strong communication and interpersonal skills with ability to interact with individuals across departments / functions and with senior-level executives

Preferred Qualifications, Capabilities, and Skills
  • Strong analytical and problem-solving abilities
  • Experience delivering recommendations to management
  • Familiarity with risk analytic techniques
  • Preferred experience supporting more than one CCB Operations Function/Line of Business

This role is not eligible for visa sponsorship
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.
The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.

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