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Entry Level Machine Learning Engineer Jobs in Philadelphia, PA

Faculty Fellow

Bala Cynwyd, PA · On-site

$80 - $100/hr

Conduct applied machine learning research using large-scale, real-world financial datasets ... Collaborate with researchers and engineers to translate theoretical insights into production-scale ...

Partner with leads in Data Science, Engineering, and Analytics to develop strategies to optimize training data for machine learning models * Lead efforts to identify patterns and trends in ...

Role Overview The AI Engineer Intern will develop and enhance Large Language Models (LLMs) to ... Solid understanding of machine learning fundamentals and algorithms (classification, NLP, Deep ...

Required : • Proven experience in developing and optimizing machine learning models • Strong competence with various tools, procedures, and programming languages relevant to machine learning and ...

Cold Forming Operator

Danboro, PA · On-site

$16.25 - $19.75/hr

Join us as we build the future in Manufacturing and Engineering! PERKS AND BENEFITS: * Medical ... Under close supervision operates a minimum of one cold forming machine. * Receives close ...

Data Engineer I

Camden, NJ · On-site

$90K - $100K/hr

AI, Machine Learning, and LLM-Enabled Data What We're Looking For * 1-2 years of professional experience in Data Engineering or a related technical field * Strong SQL skills including joins ...

DATA ENGINEER I

Camden, NJ · On-site

$90K - $100K/yr

AI, Machine Learning, and LLM-Enabled Data What We're Looking For * 1-2 years of professional experience in Data Engineering or a related technical field * Strong SQL skills including joins ...

Data Engineer I

Camden, NJ · On-site

$115K - $138K/yr

AI, Machine Learning, and LLM-Enabled Data What We're Looking For * 1-2 years of professional experience in Data Engineering or a related technical field * Strong SQL skills including joins ...

Data Engineer I

Camden, NJ · On-site

$90K - $100K/hr

AI, Machine Learning, and LLM-Enabled Data What We're Looking For * 1-2 years of professional experience in Data Engineering or a related technical field * Strong SQL skills including joins ...

Showing results 41-60

Entry Level Machine Learning Engineer information

See Philadelphia, PA salary details

$30.3K

$70K

$119.1K

How much do entry level machine learning engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for entry level machine learning engineer in Philadelphia, PA is $69,992.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,000.00 and $79,200.00 per year, depending on experience, location, and employer.

What is an entry level machine learning engineer?

An Entry Level Machine Learning Engineer is responsible for developing, testing, and deploying machine learning models under the guidance of senior engineers. They work with datasets, implement algorithms, and optimize model performance. Their role often involves data preprocessing, feature engineering, and collaborating with data scientists and software engineers. Strong programming skills in Python, knowledge of ML frameworks like TensorFlow or PyTorch, and an understanding of statistics and algorithms are essential. This position serves as a foundation for building expertise in artificial intelligence and data-driven decision-making.

What are some typical projects or tasks an entry level machine learning engineer might work on?

As an Entry Level Machine Learning Engineer, you’ll often work on tasks such as data preprocessing, feature engineering, and assisting in training and evaluating models under the guidance of senior engineers or data scientists. You may help develop prototypes, automate data collection pipelines, and collaborate with software engineers to integrate machine learning solutions into products. Working in this role typically involves frequent collaboration in a team environment, participating in code reviews, and learning best practices for scalable model deployment. These foundational experiences are designed to build your technical expertise and set the stage for future growth within the field.

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

To thrive as an Entry Level Machine Learning Engineer, you need a solid understanding of machine learning algorithms, programming languages like Python, and a degree in computer science, engineering, or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is highly valuable, and completing online courses or certifications can further demonstrate your skills. Strong analytical thinking, attention to detail, and effective communication are important soft skills in this role. These abilities are essential because they enable you to build accurate models, work collaboratively with teams, and communicate insights to stakeholders.

What are the most commonly searched types of Machine Learning Engineer jobs in Philadelphia, PA?

The most popular types of Machine Learning Engineer jobs in Philadelphia, PA are:

What job categories do people searching Entry Level Machine Learning Engineer jobs in Philadelphia, PA look for?

The top searched job categories for Entry Level Machine Learning Engineer jobs in Philadelphia, PA are:

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

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

Infographic showing various Entry Level Machine Learning Engineer job openings in Philadelphia, PA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $69,992 per year, or $33.6 per hour.

Faculty Fellow

SIG Susquehanna

Bala Cynwyd, PA • On-site

$80 - $100/hr

Other

Posted 4 days ago


Job description

Overview

Susquehanna is launching a 12–18 month fully funded faculty fellowship. This is a unique opportunity to pursue advanced machine learning research in a fast-paced, real-world environment – collaborating with teams at the frontier of quantitative trading.

At Susquehanna, our research leverages vast and diverse datasets, applying cutting‑edge machine learning at scale to uncover actionable insights – driving data-informed decisions from predictive modeling to strategic execution.

What you'll do
  • Conduct applied machine learning research using large-scale, real-world financial datasets.
  • Develop novel modeling techniques and adapt state-of-the-art algorithms to unique challenges in quantitative finance.
  • Collaborate with researchers and engineers to translate theoretical insights into production-scale systems.
  • Contribute to the design of robust, high-performance ML infrastructure.
  • Explore research directions aligned with your interests, with flexibility in scope and duration.
  • Evaluate ideas in an industrial setting, generating insights that may inform future academic or applied work.
  • Help grow our research community by fostering collaboration and leveraging your network within the ML and academic ecosystems.
What we're looking for
  • Exceptional faculty (tenured or tenure-track) with expertise in machine learning, deep learning, LLM, statistics, computer science, physics, applied mathematics, or related fields.
  • Exceptional newly minted PhDs or postdocs developing a research agenda in machine learning, deep learning, LLM, statistics, computer science, physics, applied mathematics, or related fields.
  • A strong theoretical foundation in ML and a passion for solving practical, open-ended problems.
  • Strong programming skills (Python preferred); experience with ML frameworks like PyTorch, TensorFlow or Jax.
  • Intellectual curiosity, adaptability, and a collaborative mindset.

Note: This fellowship is ideal for faculty seeking to broaden their applied research portfolio, explore new domains, or engage in sabbatical collaborations. The faculty fellowship is also appropriate for exceptional newly minted PhD and postdocs who want to develop a research agenda (involving, but not limited to, modeling, inference, and prediction tasks in complex systems), as they prepare to transition into a faculty position. While research outputs cannot be published due to the proprietary nature of our work, we aim for each faculty fellow to publish technical research papers collaboratively with their research hosts, to showcase some of the machine learning and AI innovations that they developed while in residence at Susquehanna.

About Susquehanna

Susquehanna is a global quantitative trading firm powered by scientific rigor, curiosity, and innovation. Our culture is intellectually driven and highly collaborative, bringing together researchers, engineers, and traders to design and deploy impactful strategies in our systematic trading environment. To meet the unique challenges of global markets, Susquehanna applies machine learning and advanced quantitative research to vast datasets in order to uncover actionable insights and build effective strategies. By uniting deep market expertise with cutting‑edge technology, we excel in solving complex problems and pushing boundaries together.

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