Principal Machine Learning Engineer to serve as a hands-on technical leader for machine learning, predictive modeling, scoring, decisioning, and applied AI initiatives. This role will primarily focus ...
Principal Machine Learning Engineer to serve as a hands-on technical leader for machine learning, predictive modeling, scoring, decisioning, and applied AI initiatives. This role will primarily focus ...
Job Summary : RIT Solutions, Inc. is seeking a Principal Machine Learning Engineer to serve as a hands-on technical leader for machine learning initiatives. This role will focus on building ...
Job Summary : RIT Solutions, Inc. is seeking a Principal Machine Learning Engineer to serve as a hands-on technical leader for machine learning initiatives. This role will focus on building ...
Senior Data & Machine Learning Engineer
Malvern, PA · On-site
$128K - $163K/yr
You will build new models, enhance existing ones, and ensure they remain reliable, explainable ... You will work closely with the Principal Data & Machine Learning Engineer, Data Engineering ...
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Senior Data & Machine Learning Engineer
Malvern, PA · On-site
$128K - $163K/yr
You will build new models, enhance existing ones, and ensure they remain reliable, explainable ... You will work closely with the Principal Data & Machine Learning Engineer, Data Engineering ...
... new environments -- and building the infrastructure that makes world-scale RL training possible ... Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post ...
... new environments -- and building the infrastructure that makes world-scale RL training possible ... Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post ...
Machine Learning Engineer
Reading, PA · On-site
... new environments -- and building the infrastructure that makes world-scale RL training possible ... Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post ...
Machine Learning Engineer
Reading, PA · On-site
... new environments -- and building the infrastructure that makes world-scale RL training possible ... Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post ...
... new environments -- and building the infrastructure that makes world-scale RL training possible ... Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post ...
... new environments -- and building the infrastructure that makes world-scale RL training possible ... Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post ...
... new environments -- and building the infrastructure that makes world-scale RL training possible ... Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post ...
... new environments -- and building the infrastructure that makes world-scale RL training possible ... Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post ...
... new environments -- and building the infrastructure that makes world-scale RL training possible ... Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post ...
... new environments -- and building the infrastructure that makes world-scale RL training possible ... Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post ...
... new environments -- and building the infrastructure that makes world-scale RL training possible ... Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post ...
... new environments -- and building the infrastructure that makes world-scale RL training possible ... Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post ...
Machine Learning Engineer
Pittsburgh, PA · On-site
... new environments -- and building the infrastructure that makes world-scale RL training possible ... Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post ...
Machine Learning Engineer
Pittsburgh, PA · On-site
... new environments -- and building the infrastructure that makes world-scale RL training possible ... Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post ...
Senior Machine Learning Engineer
Malvern, PA · On-site
$102K - $140K/yr
Design, build, and maintain end-to-end machine learning pipelines from research through production deployment. * Engineer scalable training, inference, and retraining workflows using AWS SageMaker.
Senior Machine Learning Engineer
Malvern, PA · On-site
$102K - $140K/yr
Design, build, and maintain end-to-end machine learning pipelines from research through production deployment. * Engineer scalable training, inference, and retraining workflows using AWS SageMaker.
Machine Learning Engineer
Indiana, PA · On-site
... new environments -- and building the infrastructure that makes world-scale RL training possible ... Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post ...
Machine Learning Engineer
Indiana, PA · On-site
... new environments -- and building the infrastructure that makes world-scale RL training possible ... Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post ...
Machine Learning Engineer
Bloomsburg, PA · On-site
... new environments -- and building the infrastructure that makes world-scale RL training possible ... Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post ...
Machine Learning Engineer
Bloomsburg, PA · On-site
... new environments -- and building the infrastructure that makes world-scale RL training possible ... Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post ...
... new environments -- and building the infrastructure that makes world-scale RL training possible ... Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post ...
... new environments -- and building the infrastructure that makes world-scale RL training possible ... Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post ...
Machine Learning Engineer
Harrisburg, PA · On-site
... new environments -- and building the infrastructure that makes world-scale RL training possible ... Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post ...
Machine Learning Engineer
Harrisburg, PA · On-site
... new environments -- and building the infrastructure that makes world-scale RL training possible ... Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post ...
... new environments -- and building the infrastructure that makes world-scale RL training possible ... Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post ...
... new environments -- and building the infrastructure that makes world-scale RL training possible ... Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post ...
... new environments -- and building the infrastructure that makes world-scale RL training possible ... Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post ...
... new environments -- and building the infrastructure that makes world-scale RL training possible ... Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post ...
... new environments -- and building the infrastructure that makes world-scale RL training possible ... Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post ...
... new environments -- and building the infrastructure that makes world-scale RL training possible ... Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post ...
Machine Learning Engineer III
Pittsburgh, PA · On-site
$111K - $133K/yr
They are seeking a Senior Machine Learning Engineer to develop and optimize machine learning models aimed at enhancing patient care and operational efficiency in hospital settings. Responsibilities ...
Machine Learning Engineer III
Pittsburgh, PA · On-site
$111K - $133K/yr
They are seeking a Senior Machine Learning Engineer to develop and optimize machine learning models aimed at enhancing patient care and operational efficiency in hospital settings. Responsibilities ...
Machine Learning Engineer
Erie, PA · On-site
... new environments -- and building the infrastructure that makes world-scale RL training possible ... Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post ...
Machine Learning Engineer
Erie, PA · On-site
... new environments -- and building the infrastructure that makes world-scale RL training possible ... Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post ...
Internship Machine Learning Engineer New Grad information
What types of projects do machine learning engineer interns typically work on?
Machine Learning Engineer interns often work on hands-on projects such as data preprocessing, model development, and conducting experiments to validate algorithms under the guidance of senior engineers. These projects might include building prototypes, optimizing existing machine learning models, or supporting data collection and annotation efforts. Interns are expected to collaborate closely with data scientists, software engineers, and product teams to align their work with real business needs. This experience not only helps interns build technical skills but also provides insight into how machine learning solutions are integrated into larger products or services.
What does an internship machine learning engineer new grad do?
An Internship Machine Learning Engineer New Grad typically works on developing, testing, and optimizing machine learning models under the guidance of senior engineers or data scientists. Their responsibilities often include data preprocessing, feature engineering, model training, and evaluating model performance. They may also collaborate with cross-functional teams to integrate models into production or contribute to research projects. This role provides hands-on experience with real-world data and the opportunity to learn industry-standard tools and practices.
What are the key skills and qualifications needed to thrive as an internship machine learning engineer new grad?
To thrive as an Internship Machine Learning Engineer New Grad, you need a strong grasp of programming (especially Python), machine learning algorithms, data structures, and a relevant degree or coursework in computer science or a related field. Familiarity with tools and frameworks like TensorFlow, PyTorch, scikit-learn, and version control systems such as Git is typically expected. Strong analytical thinking, problem-solving abilities, and a willingness to learn make you stand out in this position. These skills enable you to contribute effectively to projects, quickly adapt to new challenges, and support innovative solutions in a fast-evolving field.
What is the difference between Internship Machine Learning Engineer New Grad vs Machine Learning Engineer?
| Aspect | Internship Machine Learning Engineer New Grad | Machine Learning Engineer |
|---|---|---|
| Required Credentials | Typically pursuing or recently completed a Bachelor's or Master's in CS, Data Science, or related fields | Bachelor's or higher in CS, Data Science, or related fields; often requires some professional experience |
| Work Environment | Temporary, learning-focused internship, often part-time or summer | Full-time professional role in a team, responsible for deploying ML models and projects |
| Employer & Industry Usage | Internships offered by tech companies, startups, and research labs; industry-wide | Full-time roles in tech, finance, healthcare, and other sectors utilizing ML |
The main difference between an Internship Machine Learning Engineer New Grad and a Machine Learning Engineer is experience level and job responsibilities. Internships are temporary, learning-focused positions for recent graduates or students, while full-time Machine Learning Engineers handle ongoing projects, deployment, and optimization of ML models in a professional setting.
What are popular job titles related to Internship Machine Learning Engineer New Grad jobs in Pennsylvania? For Internship Machine Learning Engineer New Grad jobs in Pennsylvania, the most frequently searched job titles are:
- Freelance Edge Ai Machine Learning
- Google Cloud Machine Learning Engineer
- Internship Edge Ai Machine Learning
- Machine Learning Ai Developer
- Entry Level Generative Ai Prompt Engineer
- Internship Machine Vision Engineer
- Contract Machine Learning Engineer Biotech
- Machine Learning Engineer Intern
- Deep Learning Engineer
- Machine Learning Engineer Apprenticeship
What job categories do people searching Internship Machine Learning Engineer New Grad jobs in Pennsylvania look for? The top searched job categories for Internship Machine Learning Engineer New Grad jobs in Pennsylvania are:
- Salaried Rapid Prototyping
- Hourly Ai Media Captioning
- Embedded Machine Learning Internship
- Senior Meta Machine Learning
- Ai Reinforcement Learning
- Internship Machine Learning Startup
- Reinforcement Learning Internship
- Contract Google Machine Learning Engineer
- Biology Machine Learning Intern
- Research Machine Learning Federated Learning
What cities in Pennsylvania are hiring for Internship Machine Learning Engineer New Grad jobs? Cities in Pennsylvania with the most Internship Machine Learning Engineer New Grad job openings:
Contractor
Posted 23 days ago
Job description
Principal Machine Learning Engineer to serve as a hands-on technical leader for machine learning, predictive modeling, scoring, decisioning, and applied AI initiatives. This role will primarily focus on building, validating, deploying, and improving machine learning models, while also bringing principal-level judgment to problem definition, model design, stakeholder engagement, and production readiness.
Hands-On Model Development
Build, test, validate, and improve machine learning models for scoring, prediction, prioritization, risk detection, engagement, intervention targeting, and decision support.
Perform exploratory data analysis, data quality assessment, feature engineering, model training, model selection, and performance evaluation.
Develop practical ML models that balance predictive performance, explainability, stability, maintainability, and business usefulness.
Work with structured, semi-structured, and operational data to create model-ready datasets and reusable features.
Use tools such as Python, SQL, Spark, Databricks, MLflow, scikit-learn, XGBoost, or similar platforms and libraries.
Move quickly from data exploration to prototype to validated model to production-ready capability.
Required Qualifications
Professional experience in machine learning, data science, software engineering, analytics engineering, applied AI, or related technical fields.
5+ years of hands-on machine learning model development experience, including feature engineering, model training, validation, evaluation, and iteration.
3+ years of experience deploying, operationalizing, or supporting models in production or business-critical environments.
Strong hands-on experience with Python and SQL.
Experience with modern ML and data platforms such as Databricks, Spark, MLflow, Snowflake, Azure, AWS, or similar technologies.
Strong understanding of model evaluation, calibration, thresholding, score interpretation, monitoring, drift, retraining, and production ML lifecycle management.
Experience translating ambiguous business problems into concrete ML designs, model requirements, validation plans, and measurable outcomes.
Ability to explain model behavior, model performance, assumptions, limitations, and tradeoffs to both technical and non-technical stakeholders.
Strong engineering discipline, including clean code, reproducibility, versioning, testing, documentation, and maintainability.
Ability to work independently as a senior hands-on contributor while also providing technical leadership and modeling judgment.
Scoring, Scorecards, and Transparent Models
Production ML and MLOps
Product and Rapid-Build Execution
Generative AI and AI Automation
Requirement Shaping and Stakeholder Partnership
Hands-On Model Development
Build, test, validate, and improve machine learning models for scoring, prediction, prioritization, risk detection, engagement, intervention targeting, and decision support.
Perform exploratory data analysis, data quality assessment, feature engineering, model training, model selection, and performance evaluation.
Develop practical ML models that balance predictive performance, explainability, stability, maintainability, and business usefulness.
Work with structured, semi-structured, and operational data to create model-ready datasets and reusable features.
Use tools such as Python, SQL, Spark, Databricks, MLflow, scikit-learn, XGBoost, or similar platforms and libraries.
Move quickly from data exploration to prototype to validated model to production-ready capability.
Required Qualifications
Professional experience in machine learning, data science, software engineering, analytics engineering, applied AI, or related technical fields.
5+ years of hands-on machine learning model development experience, including feature engineering, model training, validation, evaluation, and iteration.
3+ years of experience deploying, operationalizing, or supporting models in production or business-critical environments.
Strong hands-on experience with Python and SQL.
Experience with modern ML and data platforms such as Databricks, Spark, MLflow, Snowflake, Azure, AWS, or similar technologies.
Strong understanding of model evaluation, calibration, thresholding, score interpretation, monitoring, drift, retraining, and production ML lifecycle management.
Experience translating ambiguous business problems into concrete ML designs, model requirements, validation plans, and measurable outcomes.
Ability to explain model behavior, model performance, assumptions, limitations, and tradeoffs to both technical and non-technical stakeholders.
Strong engineering discipline, including clean code, reproducibility, versioning, testing, documentation, and maintainability.
Ability to work independently as a senior hands-on contributor while also providing technical leadership and modeling judgment.
Scoring, Scorecards, and Transparent Models
Production ML and MLOps
Product and Rapid-Build Execution
Generative AI and AI Automation
Requirement Shaping and Stakeholder Partnership
About Delan Associates
Sourced by ZipRecruiter
Company size
51 - 200 Employees
Headquarters location
Freeport, NY, US
Year founded
2002