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Entry Level Machine Learning Engineer Jobs in Morrisville, PA

Design, engineer, and curate training and validation datasets to support machine learning pipelines ... for intent classification, speech recognition, and conversational AI performance optimization

New

We are seeking an AI/ML Software Engineer for a contract position with a Global Financial ... Work closely with cross functional teams to build scalable applications, develop machine learning ...

We are looking for aMLOps Engineerto join our team and contribute to developing robust data solutionsto support our Machine Learning,Data Science, Data Engineering and Software Engineering. Position ...

Together with the researchers and our engineering team, you will maintain and build novel machine learning tools and research infrastructure, and support researchers in running large-scale scientific ...

Develop scalable data science and machine learning pipelines using Azure Machine Learning and Azure ... Utilize Azure DevOps, Azure ML, and Databricks to automate AI development and deployment workflows.

Data Engineer

Pennington, NJ · On-site

$115K - $138K/yr

Required : • Hadoop • Spark • PySpark • SQL (Expertise) Preferred : • Banking/financial services experience (preferred, not required) • Python programming • Exposure to Machine Learning ...

ML - Researcher

Princeton, NJ · On-site

$150K - $180K/yr

Research experience in machine learning with strong publication record * Strong algorithm and numeric computation background * Programming experience in Python, C/C++, or other languages * Experience ...

Showing results 21-40

Entry Level Machine Learning Engineer information

See Morrisville, PA salary details

$30.1K

$69.6K

$118.3K

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

As of Aug 23, 2026, the average yearly pay for entry level machine learning engineer in Morrisville, PA is $69,561.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,600.00 and $78,700.00 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 job categories do people searching Entry Level Machine Learning Engineer jobs in Morrisville, PA look for?

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

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

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

Infographic showing various Entry Level Machine Learning Engineer job openings in Morrisville, PA as of August 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 94% In-person, and 6% Remote job distribution, with an average salary of $69,561 per year, or $33.4 per hour.

Quantitative Software Engineer

Edgestream Partners, L.P.

Princeton, NJ • On-site

Full-time

Re-posted 10 days ago


Job description

Job Summary:
Edgestream Partners is a team of scientists, engineers, and investment professionals dedicated to developing quantitative models of financial markets. The Quantitative Software Engineer will be responsible for maintaining and building the quantitative software platform that supports scientific research and large-scale experiments with market data.
Responsibilities:
• Maintain and build novel machine learning tools and research infrastructure.
• Support researchers in running large-scale scientific experiments with market data and alternative data sources.
• Write elegant code and build world class infrastructure.
Qualifications:
Required:
• A Bachelor's or Master's degree in Computer Science, Engineering, or a closely related field.
• Exceptional proficiency in programming (Python preferred) and software design.
• Strong analytical foundation, including familiarity with probability, statistics, and machine learning.
• Demonstrated experience utilizing quantitative software libraries such as numpy/pandas, scikit-learn, or equivalent packages.
• The ability to communicate effectively within a complex, highly technical, and collaborative team environment.
• A genuine intellectual curiosity and a passion for using technology to solve challenging problems.
Preferred:
• Deep familiarity with financial market data structures, including equities, futures, and FX datasets.
• Familiarity with numerical optimization techniques
• Experience building resilient, parallelized data transformation architectures for machine learning and statistical analysis and reporting.
Company:
Edgestream Partners, L.P. ("Edgestream"​) is devoted to institutional investment management in an ever-changing world. Founded in 2003, the company is headquartered in Princeton, USA, with a team of 11-50 employees. The company is currently Early Stage.