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Machine Learning Engineer Starting Jobs in Philadelphia, PA

Machine Learning Engineer 3- 7882

Philadelphia, PA · On-site +1

$56.25 - $74.50/hr

... programming and decomposition techniques; use machine learning techniques including tree-based models, linear and logistic regression, and time series models; use scikitlearn to create models ...

Data Engineer

Malvern, PA · On-site

$112K - $134K/yr

Responsibilities : • We are seeking an experienced Machine Learning Engineer to join our AI/ML Engineering team. You will be responsible for developing and optimizing complex data pipelines ...

Machine Learning Tutor

Chester, PA · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Senior ML Ops Engineer

Philadelphia, PA · On-site

$99K - $137K/yr

In this role, the Senior Machine Learning Engineer will bridge Data Science and Engineering to develop AI-based features and ensure the deployment of secure, reliable, and scalable machine learning ...

Showing results 41-60

Machine Learning Engineer Starting information

See Philadelphia, PA salary details

$30.1K

$123.1K

$184.9K

How much do machine learning engineer starting jobs pay per year?

As of Jul 26, 2026, the average yearly pay for machine learning engineer starting in Philadelphia, PA is $123,068.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,000.00 and $148,100.00 per year, depending on experience, location, and employer.

What engineer makes $500,000 a year?

Highly experienced machine learning engineers working in top tech companies or specialized fields can earn salaries approaching or exceeding $500,000 annually, often including bonuses and stock options. Such compensation typically requires advanced skills in deep learning, large-scale data processing, and proficiency with tools like TensorFlow or PyTorch, along with significant industry experience and a strong track record of impactful projects.

Which 3 jobs will survive AI?

Machine Learning Engineers are likely to continue to be in demand as AI advances, focusing on developing and refining AI models. Other resilient roles include data scientists, who interpret complex data, and cybersecurity professionals, who protect systems from evolving threats. These jobs require specialized skills and adapt to technological changes, making them more resistant to automation.

What are entry-level AI/ML jobs?

Entry-level AI/ML jobs typically include roles such as Junior Machine Learning Engineer, Data Analyst, or AI Research Assistant. These positions often require foundational knowledge of programming languages like Python, familiarity with machine learning frameworks such as TensorFlow or PyTorch, and a relevant degree or certification. They offer opportunities to gain practical experience in model development, data preprocessing, and deploying AI solutions.

What jobs should I get before getting into machine learning engineer?

Entry-level roles such as data analyst, software developer, or research assistant can provide relevant experience for aspiring machine learning engineers. Gaining skills in programming languages like Python or R, understanding data manipulation, and working with tools like SQL and machine learning frameworks are valuable steps before transitioning into a machine learning engineer role.
What cities near Philadelphia, PA are hiring for Machine Learning Engineer Starting jobs? Cities near Philadelphia, PA with the most Machine Learning Engineer Starting job openings:
Machine Learning Engineer, Specialist

Machine Learning Engineer, Specialist

Vanguard Group

Malvern, PA • On-site

Full-time

Posted 29 days ago


Vanguard rating

8.7

Company rating: 8.7 out of 10

Based on 64 frontline employees who took The Breakroom Quiz

17th of 150 rated financial services


Job description

Core Responsibilities
1. Leverages data pipeline designs and supports the development of data pipelines to support model development. Proficient with software tools that develop data pipelines in a distributed computing environment (PySprak, GlueETL).
2. Supports integration of model pipelines in a production environment. Develops understanding of SDLC for model production.
3. Reviews pipeline designs, makes data model design changes as needed. Documents and reviews design changes with data science teams.
4. Supports data discovery & automated ingestion for model development. Performs detailed analysis of raw data sources for data quality, applies business context, and model development needs.
5. Engages with internal stakeholders to understand and probe business processes in order to develop hypotheses. Brings structure to requests and translates requirements into an analytic approach. Participates in and influences ongoing business planning and departmental prioritization activities.
6. Runs model monitoring scripts, follows process for alerts to management as needed. Addresses issues found in data pipelines from model monitoring alerts.
7. Participates in special projects and performs other duties as assigned.
Qualifications
  • Undergraduate degree or equivalent combination of training and experience.
  • Minimum of five years related work experience.

Special Factors
Sponsorship
Vanguard is not offering visa sponsorship for this position.
About Vanguard
At Vanguard, we don't just have a mission-we're on a mission.
To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.
How We Work
Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.

What Vanguard employees say

Pay

Benefits

Hours and flexibility

Workplace

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