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Entry Level Machine Learning Jobs in Philadelphia, PA

GWYNEDD

EDM OPERATOR- First Shift

North Wales, PA · On-site

$19/hr

We are seeking a motivated and detail-oriented Entry-Level EDM Operator to join our manufacturing team. This is an excellent opportunity for individuals interested in learning precision machining in ...

GWYNEDD

EDM Operator- Second Shift

North Wales, PA · On-site

$19 - $22/hr

We are seeking a motivated and detail-oriented Entry-Level EDM Operator to join our manufacturing team. This is an excellent opportunity for individuals interested in learning precision machining in ...

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All JobsMachine Learning JobsEntry Level Machine Learning JobsEntry Level Machine Learning Jobs in Philadelphia, PA

Entry Level Machine Learning information

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How much do entry level machine learning jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for entry level machine learning in Philadelphia, PA is $16.04, according to ZipRecruiter salary data. Most workers in this role earn between $14.33 and $17.45 per hour, depending on experience, location, and employer.

What are entry level machine learning jobs?

Entry-level machine learning jobs focus on creating and using software for the development of artificial intelligence (AI). In this role, you may help program computer software, engineer mechanical solutions, help develop learning objectives, and use analytics to determine whether or not the technology created is meeting development goals. Many entry-level machine learning jobs focus on particular parts of the industry. For example, some companies focus on surveillance and intelligence, while others are creating technology for self-driving vehicles. Employers often use this position as a type of extended learning period to help you develop your skills before you start taking responsibility for major projects.

What types of projects can an entry level machine learning professional expect to work on in their first year?

As an entry-level machine learning professional, you’ll typically start by supporting more senior data scientists and engineers with tasks such as data cleaning, exploratory data analysis, and building baseline models. You may work on pilot projects like developing recommendation systems, automating simple classification tasks, or contributing to model evaluation and performance tuning. Collaboration with cross-functional teams—including software engineers, product managers, and domain experts—is common, providing valuable exposure to real-world business problems and laying a foundation for more complex responsibilities as you gain experience.

What are the key skills and qualifications needed to thrive as an entry level machine learning engineer, and why are they important?

To thrive as an Entry Level Machine Learning Engineer, you need a solid background in mathematics, statistics, and programming (especially in Python), typically supported by a degree in computer science or a related field. Familiarity with machine learning frameworks like TensorFlow or PyTorch, version control systems like Git, and data analysis libraries is commonly required. Strong problem-solving abilities, curiosity, and effective communication skills help differentiate candidates in collaborative and fast-evolving environments. These skills and qualifications are essential for building, testing, and improving machine learning models that drive innovation and business value.

What is the difference between Entry Level Machine Learning vs Data Analyst?

AspectEntry Level Machine LearningData Analyst
Required CredentialsBachelor's in CS, Math, or related; some knowledge of programming and statisticsBachelor's in Statistics, Math, or related; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentTech companies, startups, research labs; focus on developing models and algorithmsBusiness, finance, marketing; focus on interpreting data and generating reports
Employer & Industry UsageTech, e-commerce, healthcare; roles involve building predictive modelsRetail, finance, consulting; roles involve analyzing data trends and insights

Entry Level Machine Learning roles focus on developing algorithms and models using programming and statistical skills, often in tech-driven environments. Data Analysts interpret and visualize data to support business decisions, typically using tools like Excel and SQL. While both roles require analytical skills, Machine Learning positions emphasize coding and model development, whereas Data Analysts focus on data interpretation and reporting.

How to get into entry level machine learning with no experience?

Entry level machine learning roles typically require foundational knowledge in programming, statistics, and data analysis. Gaining skills through online courses, practicing with projects, and learning tools like Python, TensorFlow, or scikit-learn can help build a portfolio. Internships, certifications, and participating in competitions like Kaggle can also improve your chances of entering the field without prior experience.
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What are the most commonly searched types of Machine Learning jobs in Philadelphia, PA?

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What cities near Philadelphia, PA are hiring for Entry Level Machine Learning jobs?

Cities near Philadelphia, PA with the most Entry Level Machine Learning job openings:

Entry Level Machine Learning jobs near you
Infographic showing various Entry Level Machine Learning job openings in Philadelphia, PA as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $33,355 per year, or $16 per hour.

2026 Fall Co-op - Global Technology Solutions - Software Engineer (SWE)

TD Bank

Mount Laurel Township, NJ • On-site

$60 - $65/hr

Other

Posted 5 days ago

TD Bank rating

8.3

Company rating: 8.3 out of 10

Based on 263 frontline employees who took The Breakroom Quiz

49th of 175 rated banks

Job description

## 2026 Fall Co-op - Global Technology Solutions - Software Engineer (SWE)Postulerremote type: Sur placelocations: Mount Laurel, New Jerseytime type: Temps pleinposted on: Publié aujourd'huitime left to apply: Date de fin : 5 juillet 2026 (Il reste 16 jours pour postuler)job requisition id: R\_1495659**Role Type:**Internship/Co-op**Work Term:**Fall/Term 1**Work Location**:Mount Laurel, New Jersey, États-Unis d'Amérique**Hours:**40**Pay Details:**$30.74 - $30.74 USDTD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs.As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.**Job Description:**A co-op assists designated department management and staff in performing assigned tasks under direct or general supervision. Exemplifies the TD Bank Culture and Customer Service Philosophy.This Global Technology Solutions (GTS) Co-op functions as a Software Engineer Co-op.GTS is offering in-person co-op opportunities in Mount Laurel, NJ. Candidates will be required to be in-office 4 days a week. A relocation stipend will be offered.**Depth & Scope:*** Builds an understanding of the businesses and Customers the role supports* May answer and direct incoming calls internally and externally* Provides support for Manager and others areas, as indicated* May assist in completing various departmental projects/reports* Assists with operational and administrative functions* Performs diversified clerical duties as assigned* May support or partner with several business functions/areas/departments* Participates in various projects and tasks, as assigned**Education & Experience:*** High School Diploma required* Currently enrolled in 4 year college program* **Graduation date of December 2027 or May 2028 preferred*** Currently pursuing a degree in Computer Science or a related field* Entry Level position, no work experience required* Some knowledge of Java, JavaScript, and/or Jira preferred* Must have interest in AI and Machine Learning* 3.2 GPA or higher preferred* Excellent computer skills, including Microsoft Office* Excellent interpersonal skills* Demonstrated leadership qualities* Good written and oral communications skills* Detail oriented and self-motivated* Ability to handle multiple tasks in a fast-paced environment* Ability to work in an office environment**Who We Are**TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we strive to make every interaction, product, and experience remarkably human and refreshingly simple for over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to foster deeper relationships, ensure disciplined execution, and build a simpler, faster banking experience. TD is deeply committed to being a leader in client experience, that is why we believe that all colleagues, no matter where they work, are client facing. Together, we are reimagining what banking can be for our clients, colleagues and communities.**Our Total Rewards Package** Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical and mental well-being goals. Total Rewards at TD includes base salary and variable compensation/incentive awards (e.g., eligibility for cash and/or equity incentive awards, generally through participation in an incentive plan) and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off (including Vacation PTO, Flex PTO, and Holiday PTO), banking benefits and discounts, career development, and reward and recognition. Learn more**Additional Information:** We’re delighted that you’re considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we’re committed to providing the support our colleagues need to thrive both at work and at home. **Colleague Development**If you’re interested in a specific career path or are looking to build certain skills, we want to help you succeed. You’ll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities.If you’re passionate about helping clients and building deep, lasting relationships, TD offers diverse career paths where you can grow your expertise and make a meaningful impact.We're committed to your success and foster a respectful workplace where diverse perspectives are valued, everyone has fair opportunities to grow, and you can unlock your full potential to achieve your career goals. Here at TD, we hire and develop the best.**Training & Onboarding** We will provide training and onboarding sessions to ensure that you’ve got everything you need to succeed in your new role. **Interview Process** We’ll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.**Accommodation**TD Bank is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, status as a protected veteran or any other characteristic protected under applicable federal, state, or local law.If you are an applicant with a disability and need accommodations to complete the application process, please email TD Bank US Workplace Accommodations Program at USWAPTDO@td.com. Include your full name, best way to reach you and the accommodation needed to assist you with the applicant process. #J-18808-Ljbffr

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