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Machine Learning Engineer Jobs in Philadelphia, PA

We are currently seeking a Senior Machine Learning Engineer to join our team in Moorestown, NJ. Responsibilities: * Develops, researches, and applies machine learning, deep learning, visual ...

* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...

* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...

* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...

* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...

* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...

Showing results 21-40

Machine Learning Engineer information

See Philadelphia, PA salary details

$31.8K

$129.9K

$195.3K

How much do machine learning engineer jobs pay per year?

As of Sep 12, 2026, the average yearly pay for machine learning engineer in Philadelphia, PA is $129,939.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,400.00 and $156,400.00 per year, depending on experience, location, and employer.

What is a machine learning engineer?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

What does a machine learning engineer do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

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

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

What are some common challenges faced by machine learning engineers when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

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

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

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 are popular job titles related to Machine Learning Engineer jobs in Philadelphia, PA?

For Machine Learning Engineer jobs in Philadelphia, PA, the most frequently searched job titles are:

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

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

Infographic showing various Machine Learning Engineer job openings in Philadelphia, PA as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 75% Full Time, 21% Part Time, and 2% Contract. Highlights an 85% Physical, 2% Hybrid, and 13% Remote job distribution, with an average salary of $129,939 per year, or $62.5 per hour.

Senior Machine Learning Engineer

Moorestown, NJ

$103K - $141K/yr

Full-time

Posted 9 days ago


ASRC Federal rating

7.8

Company rating: 7.8 out of 10

Based on 28 frontline employees who took The Breakroom Quiz


Job description

ASRC Federal Mission Solutions is a premier provider of systems engineering, software engineering, system integration and project management services for real-time, mission-critical defense systems. We are currently seeking a Senior Machine Learning Engineer to join our team in Moorestown, NJ.

Responsibilities:

  • Develops, researches, and applies machine learning, deep learning, visual artificial intelligence algorithms and methods to data sets to produce models to be deployed in an operational aspect
  • Develops hypotheses based on data analysis and trends, and compares real-time results with predictions to update and fine-tune algorithms
  •  Develops assessment methods to ensure production models are robust and reliable
  • Collaborates with different business units and stakeholders
  • Develops, inspects, mines, transforms, and models data to raise productivity, improve decision making, and gain competitive advantage
  • Conducts quantitative and qualitative analysis on data to generate insights and information to ensure correct predictive forecasting or classification
  • Maintains analytical systems, verifies the accuracy of the data, and acts as liaison with business
  • Implementing emerging AI/ML solutions from commercial and academic domains to support military and government agencies with prediction, classification, and anomaly detection tasks
  • Evaluating, visualizing, and performing statistical analysis on data sets including time-series, multi-modal, and textual data
  • Training deep neural networks including MLPs, CNNs, Transformers, and others as required
  • Working with existing modeling and simulation (M&S) tools to develop data for new AI/ML models

Basic Qualifications:

  • Bachelor's degree and a minimum of 5-7 years of experience in a related or applicable field, or an equivalent combination of education and experience
  • This position requires the ability to obtain and maintain a government clearance, U.S. Citizenship is required
  • This position requires the successful applicant to obtain and maintain the required security clearance or other authorization(s) within the necessary timeframe required by applicable contract(s)
  • Requires advanced understanding and ability to apply standards, principles, theories, and technical concepts obtained through advanced education combined with experience
  • Has practical knowledge of project management
  • Works to achieve operational targets with significant impact on departmental results
  • Requires being responsible for managing entire technical projects within job area
  • Requires being responsible for developing technical solutions that may require collaboration with internal expertise and deep analysis of the technical system
  • Requires efficient communication with parties within and outside of own job function
  • Requires being responsible for communicating with parties external to ASRC Federal (e.g., customers, vendors, etc)  
  • Requires the ability to write and implement company policies pertaining to relevant technology
  • Responsible for running small technical teams while providing guidance, coaching and training to employees within job area
  • Lead projects, requiring the delegation of work and the review of others' work product
  • Basic knowledge of machine learning techniques including popular frameworks (e.g., PyTorch or TensorFlow)
  • Experience with LLM prompting and Transformer architecture

 

Preferred Qualifications:

  • Hands-on experience with PyTorch and related Python libraries
  • Experience with unsupervised learning including clustering algorithms and manifold learning
  • Strong writing and presentation skills are preferred

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