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Associate Machine Learning Jobs in Pennsylvania (NOW HIRING)

Penske

Manager - Advanced Analytics

Reading, PA

Manage a team of machine learning engineers. Work with analytics leaders, data analysts, and data ... Ensure associates lead project scope development and options analysis to recommend technical ...

Penske

Manager - Advanced Analytics

Reading, PA · On-site

Key Responsibilities: • Evangelize artificial intelligence and machine learning across the ... The associate is frequently required to use hands to finger, handle, or feel and reach with hands ...

Penske

Manager - Advanced Analytics

Reading, PA

Manage a team of machine learning engineers. Work with analytics leaders, data analysts, and data ... Ensure associates lead project scope development and options analysis to recommend technical ...

The Pennsylvania State University

POSITION SPECIFICS Postdoctoral Scholar (Machine Learning or Artificial Intelligence in Molecular and Cellular Biology) The National Synthesis Center for Emergence in the Molecular and Cellular ...

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Associate Machine Learning information

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

AspectAssociate Machine LearningData Scientist
Required CredentialsBachelor's degree in CS, Data Science, or related field; some roles may require certifications in ML or AIBachelor's or Master's in CS, Statistics, or related; often requires experience with data analysis and programming
Work EnvironmentEntry-level, team-based projects, focused on supporting ML models and data preprocessingMore autonomous, involved in data analysis, model development, and interpretation
Employer & Industry UsageTech companies, startups, research labs; roles in AI and ML teamsWide range of industries including tech, finance, healthcare, and consulting

While both roles involve working with data and machine learning, an Associate Machine Learning typically focuses on supporting ML projects with less experience, whereas a Data Scientist has broader responsibilities including data analysis, model development, and strategic insights. The roles often overlap but differ in scope and experience level.

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

To thrive as an Associate Machine Learning Engineer, you need a solid background in mathematics, programming (especially Python), and foundational machine learning concepts, usually supported by a relevant degree. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and experience with data processing libraries and version control systems is typically required. Strong analytical thinking, problem-solving ability, and effective collaboration skills help you stand out in this role. These competencies are essential for developing robust models, working efficiently with teams, and delivering impactful data-driven solutions.

What are some common challenges faced by associate machine learning professionals when transitioning from academic projects to real-world business applications?

Associate Machine Learning professionals often find that moving from academic or theoretical projects to business-focused environments introduces new challenges. Real-world datasets can be messy, incomplete, or imbalanced, requiring additional data cleaning and preprocessing. Moreover, business timelines may require rapid prototyping and iterative model development, which is different from the more open-ended nature of academic research. Collaborating with cross-functional teams such as data engineers, product managers, and business stakeholders is also essential to align models with organizational goals. Adapting to these practical aspects is key to succeeding in an Associate Machine Learning role.

What does an associate machine learning engineer do?

An Associate Machine Learning Engineer assists in designing, developing, and deploying machine learning models under the supervision of senior engineers. They handle tasks such as data preprocessing, model evaluation, and maintaining machine learning pipelines. Associates often collaborate with data scientists, software engineers, and business teams to ensure that machine learning solutions are integrated effectively into products or services. This role is typically entry-level or early career and is a stepping stone toward more advanced machine learning positions.
What are the most commonly searched types of Machine Learning jobs in Pennsylvania? The most popular types of Machine Learning jobs in Pennsylvania are:
What are popular job titles related to Associate Machine Learning jobs in Pennsylvania? For Associate Machine Learning jobs in Pennsylvania, the most frequently searched job titles are:
What job categories do people searching Associate Machine Learning jobs in Pennsylvania look for? The top searched job categories for Associate Machine Learning jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for Associate Machine Learning jobs? Cities in Pennsylvania with the most Associate Machine Learning job openings:
Associate Machine Learning jobs near you

Associate Data Scientist with Security Clearance

Software Engineering Institute

Pittsburgh, PA • On-site

$57K - $57K/yr

Other

Re-posted 4 days ago

Job description

What We Do: Data Scientists at the SEI use advanced statistics, data analytics, machine learning, and artificial intelligence to help our government and industry clients research and solve cybersecurity challenges. In this role, you will work with our customers to identify areas where advanced statistical techniques can help tackle problems, plan and develop prototype solutions, and build out final products. You'll get a chance to work with elite cybersecurity professionals and university faculty to build new technologies that will influence national cybersecurity strategy for decades to come. You will co-author research proposals, execute studies, and present findings to DoW sponsors and at academic conferences. Our team works on a wide range of projects. Our current work includes research in generative AI and large language models, computer vision, multimodal AI, agentic AI, and assurance of AI systems. Additionally, we craft metrics and experimental designs for large-scale cybersecurity research programs, develop human-in-the-loop machine learning solutions, and build classifiers to identify security vulnerabilities. If you are a data science or statistics expert with an interest in cybersecurity, we want to hear from you! Requirements: * BS in data science, machine learning, computer science, statistics, or related highly-quantitative discipline with three (3) years of experience or equivalent combination of training or experience; or MS in data science, machine learning, computer science, statistics, or related highly-quantitative discipline with one (1) year of experience; or PhD in data science, machine learning, computer science, statistics, or related highly-quantitative discipline.
* Willingness to complete modest travel to various locations to support the SEI's overall mission.
* You will be subject to a background check and must be able obtain and maintain a U.S. Department of War security clearance. Knowledge, Skills and Abilities: * Experience in predictive modeling, data science, and/or AI & machine learning
* Deep understanding of statistical modeling techniques and advanced data analytics
* Proficient with at least one mathematical/statistical programming package (e.g., R, python numpy/scipy/pandas/polars, MATLAB, etc.)
* Innovative and inquisitive with ability to imagine novel analytical solutions to problems Thrives in a multi-disciplinary environment
* Strong communication skills
* Expertise in one or more of the following:
* Recommendation systems
* Time-series forecasting (Prophet, NeuralProphet, Chronos, Lag-Llama, etc.)
* NLP / LLMs (fine-tuning, RAG, evaluation, prompt engineering)
* Causal inference / uplift modeling / synthetic controls
* Modern ML frameworks: LightGBM/XGBoost, CatBoost, PyTorch,JAX, TensorFlow)
* LLMs / agentic workflows (LangChain/LlamaIndex/Haystack)
* Experience deploying models (FastAPI, Triton, KServe, SageMaker, Vertex AI, or similar)
* Experience working with big data (Spark, Trino, Snowflake, BigQuery, Databricks) Desired Experience: * Experience in cybersecurity and privacy is a plus is a plus
* Experience in U.S. Government work and/or with FFRDCs, UARCs an National Labs is a plus
* Demonstrated ability to learn new concepts and grow into new areas of work Location
Arlington, VA, Pittsburgh, PA
Job Function
Software/Applications Development/Engineering
Position Type
Staff - Regular
Full time/Part time
Full time
Pay Basis
Salary
More Information: * Please visit " Why Carnegie Mellon " to learn more about becoming part of an institution inspiring innovations that change the world.
* Click here to view a listing of employee benefits
* Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran .
* Statement of Assurance

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