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Machine Learning Researcher Jobs in Pennsylvania

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.

About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

Showing results 21-40

Machine Learning Researcher information

See Pennsylvania salary details

$30.1K

$113.4K

$164.9K

How much do machine learning researcher jobs pay per year?

As of Aug 7, 2026, the average yearly pay for machine learning researcher in Pennsylvania is $113,373.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,200.00 and $154,400.00 per year, depending on experience, location, and employer.

What are some common challenges machine learning researchers face when transitioning from academic research to industry roles?

Machine Learning Researchers often find that transitioning to industry involves adapting to faster project timelines, collaborative workflows, and a focus on scalable, real-world solutions rather than theoretical advances alone. In industry, you'll likely work closely with cross-functional teams, such as software engineers and product managers, to ensure models are both practical and maintainable. Balancing innovation with business objectives, handling production constraints, and communicating complex findings to non-technical stakeholders are some of the key challenges you may encounter.

What are the key skills and qualifications needed to thrive as a machine learning researcher?

To thrive as a Machine Learning Researcher, you need deep expertise in mathematics, statistics, programming (typically Python), and a strong academic background in computer science or related fields. Familiarity with frameworks like TensorFlow or PyTorch and experience with tools for data analysis and model development are standard, often supported by advanced degrees or relevant certifications. Critical thinking, creativity, and effective communication are vital soft skills for developing novel solutions and collaborating across interdisciplinary teams. These skills enable researchers to design innovative algorithms, validate models rigorously, and contribute impactful advancements in the field.

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

AspectMachine Learning ResearcherData Scientist
Required CredentialsAdvanced degrees in CS, ML, or related fields; research experienceDegree in CS, statistics, or related; strong analytical skills
Work EnvironmentResearch labs, academia, R&D departmentsBusiness environments, tech companies, consulting
Employer & Industry UsageUniversities, research institutions, tech firmsCorporations, startups, finance, healthcare
Common Search & ComparisonFocus on theoretical ML advancementsFocus on data analysis & business insights

While both roles involve working with data and algorithms, Machine Learning Researchers primarily focus on developing new algorithms and advancing ML theory, often in research or academic settings. Data Scientists apply these techniques to analyze data, generate insights, and support business decisions in industry environments.

What does a machine learning researcher do?

A Machine Learning Researcher designs, develops, and tests algorithms and models that allow computers to learn from and make decisions based on data. They often work on advancing the field by exploring new methods, improving existing algorithms, and publishing their findings. These researchers collaborate with engineers and data scientists to apply their research to practical problems in areas like computer vision, natural language processing, and robotics. Their work typically involves a combination of mathematics, statistics, programming, and experimentation.
What are the most commonly searched types of Machine Learning Researcher jobs in Pennsylvania? The most popular types of Machine Learning Researcher jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for Machine Learning Researcher jobs? Cities in Pennsylvania with the most Machine Learning Researcher job openings:
Infographic showing various Machine Learning Researcher job openings in Pennsylvania as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $113,373 per year, or $54.5 per hour.

Senior Machine Learning Engineer

Vanguard Group, Inc.

Malvern, PA • On-site

$102K - $140K/yr

Full-time

Posted 19 days ago


Vanguard rating

8.7

Company rating: 8.7 out of 10

Based on 64 frontline employees who took The Breakroom Quiz

15th of 150 rated financial services


Job description

Core Responsibilities
  • 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.
  • Develop and maintain feature engineering, feature storage, and data preparation pipelines.
  • Automate model deployment, testing, validation, and release processes using CI/CD practices.
  • Build batch, real-time, and event-driven architectures.
  • Implement model monitoring for performance, drift detection, data quality, and operational health.
  • Partner with quantitative researchers and data scientists to productionalize research models.
  • Manage model versioning, lineage tracking, experiment management, and reproducibility.
  • Optimize model performance, scalability, reliability, and cloud cost efficiency.
  • Establish engineering standards, testing frameworks, and governance controls for ML solutions.
  • Support production operations, incident response, and continuous improvement of deployed models.

Required Qualifications:
  • Minimum of eight years related work experience, with at least three years of development experience.
  • Undergraduate degree or equivalent combination of training and experience. Graduate degree preferred.
  • Experience in software engineering, machine learning engineering, data engineering, or a related technical discipline.
  • Strong experience building and deploying machine learning solutions in production environments.
  • Expertise in Python and modern data science libraries (Pandas, NumPy, Scikit-Learn, PyTorch, TensorFlow, or similar).
  • Hands-on experience with AWS services, including SageMaker
  • Experience building and maintaining machine learning pipelines, feature engineering workflows, and model deployment processes.
  • Knowledge of MLOps practices, including CI/CD, model versioning, experiment tracking, monitoring, and automated retraining.
  • Strong understanding of software development lifecycle practices, testing strategies, and production support.
  • Ability to work effectively with researchers, data scientists, and business stakeholders to deliver business outcomes.

Special Factors
Sponsorship
Vanguard is not offering visa sponsorship for this position.
About Vanguard
At Vanguard, we don't just have a mission-we're on a mission.
To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.
How We Work
Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.

What Vanguard employees say

Pay

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