ZipRecruiter

Log In

1

Junior Machine Learning Jobs in Pennsylvania (NOW HIRING)

Geisinger Health

AI Data Scientist Senior

Danville, PA · On-site +1

Leveraging your deep expertise and mastery of machine learning, you will spearhead the development ... You will also play a crucial role in mentoring and developing junior data scientists, fostering a ...

Geisinger Health

AI Data Scientist Senior

Danville, PA · On-site +1

Leveraging your deep expertise and mastery of machine learning, you will spearhead the development ... You will also play a crucial role in mentoring and developing junior data scientists, fostering a ...

PrimeSource Building Products

Machinist III

New Holland, PA · On-site

$19.25 - $26.25/hr

... for advanced machine setup, programming support, process optimization, and mentoring junior ... Team Player: committed to improving, learning, and collaborating with others * Problem-solving and ...

Gehc

AI Scientist

North East, PA · On-site

In this role, you will contribute to the development and deployment of modern machine learning ... Our employees are excited to share their experiences and mentor more junior engineers. Team members ...

Vangard, Inc.

Senior AI Scientist

Malvern, PA · On-site

Mentors and develops junior data scientists and analysts. * Establishes and enforces data quality ... Strong experience utilizing statistical and machine learning methods required. Experience with ...

Vanguard Group, Inc.

Senior AI Scientist

Malvern, PA · On-site

Mentors and develops junior data scientists and analysts. * Establishes and enforces data quality ... Strong experience utilizing statistical and machine learning methods required. Experience with ...

Vangard, Inc.

Senior AI Scientist

Philadelphia, PA · On-site

Mentors and develops junior data scientists and analysts. * Establishes and enforces data quality ... Strong experience utilizing statistical and machine learning methods required. Experience with ...

Vangard, Inc.

AI Scientist, Specialist

Malvern, PA · On-site

Mentor and develop junior AI scientists and analysts through technical guidance, coaching, and ... Related work experience in data science, AI, machine learning, or analytical roles, with strong ...

previous pagenext page

Showing results 21-40

All JobsMachine Learning JobsJunior Machine Learning JobsJunior Machine Learning Jobs in Pennsylvania

Junior Machine Learning information

See Pennsylvania salary details

$7

$27

$47

How much do junior machine learning jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for junior machine learning in Pennsylvania is $27.02, according to ZipRecruiter salary data. Most workers in this role earn between $16.39 and $33.27 per hour, depending on experience, location, and employer.

What does a junior machine learning engineer do?

A Junior Machine Learning Engineer assists in the development and implementation of machine learning models and algorithms under the supervision of more experienced engineers. They typically help with data collection, cleaning, feature engineering, model training, and evaluation. Junior engineers may also write code, test prototypes, and contribute to improving model performance while learning best practices in the field. Their role often involves collaborating with data scientists and software engineers to integrate machine learning solutions into products or services.

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

To thrive as a Junior Machine Learning Engineer, you need a solid understanding of programming (especially Python), basic statistics, linear algebra, and familiarity with machine learning concepts, typically supported by a relevant degree or coursework. Proficiency in tools and frameworks like scikit-learn, TensorFlow, PyTorch, and version control systems such as Git is often expected. Strong problem-solving abilities, curiosity, and effective communication are crucial soft skills for collaborating with teams and explaining technical concepts. These skills and qualities are important because they enable you to contribute effectively to building, testing, and improving machine learning models in real-world applications.

What types of projects and tasks can a junior machine learning professional typically expect to work on in their first year?

As a Junior Machine Learning professional, you’ll often support senior data scientists and engineers by preparing data, implementing basic algorithms, and assisting with model evaluation. Your daily tasks may include data cleaning, feature engineering, running experiments, and writing code to automate data pipelines. You might also help document processes and present your findings to team members. While the work is often collaborative, you’ll have opportunities to take ownership of smaller projects and progressively contribute to larger initiatives as you gain experience.

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

AspectJunior Machine LearningData Scientist
Required CredentialsBachelor's in CS, Data Science, or related field; some experience with ML toolsBachelor's or Master's in CS, Statistics, or related; strong programming and statistical skills
Work EnvironmentEntry-level projects, supervised tasks, team collaborationAdvanced analysis, model development, cross-functional teams
Industry UsageCommon in tech companies, startups, research labsWidespread across industries like finance, healthcare, tech

Junior Machine Learning roles focus on foundational ML tasks and learning on the job, while Data Scientists handle complex data analysis, model building, and strategic insights. The roles differ mainly in experience level and scope of responsibilities, but both require strong technical skills and familiarity with data tools.

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 Junior Machine Learning jobs in Pennsylvania?

For Junior Machine Learning jobs in Pennsylvania, the most frequently searched job titles are:

What job categories do people searching Junior Machine Learning jobs in Pennsylvania look for?

The top searched job categories for Junior Machine Learning jobs in Pennsylvania are:

Junior Machine Learning jobs near you
Infographic showing various Junior Machine Learning job openings in Pennsylvania as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 26% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $56,203 per year, or $27 per hour.

Senior Machine Learning Research Scientist - Frontier Lab

Carnegie Mellon University

Pittsburgh, PA • On-site

$95K - $121K/yr

Full-time

Re-posted 14 days ago

Carnegie Mellon University rating

8.6

Company rating: 8.6 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

71st of 627 rated colleges and universities

Job description

Job Summary:
Carnegie Mellon University is seeking a Senior Machine Learning Research Scientist in the Frontier Lab, which focuses on applied artificial intelligence for government missions. The role involves leading technical execution, conducting applied research, and developing prototypes while collaborating with stakeholders to translate mission needs into actionable technical outcomes.
Responsibilities:
• Execute work within the operational context—understanding users, workflows, constraints, success criteria, and outcomes—so technical decisions are grounded in real mission needs.
• Lead technical execution by defining technical tasking, sequencing work into realistic milestones, maintaining delivery quality, and delegating appropriately across the team.
• Design and run studies, build convincing prototypes and reference implementations, and produce evidence-backed insights that can be matured and transitioned into operational settings.
• Establish credible evaluation strategies and test pipelines that assess performance, robustness, reliability, and trustworthiness in mission-representative scenarios.
• Serve as the primary technical interface when appropriate; translate mission goals into measurable technical outcomes; communicate progress, decisions, and risks clearly to stakeholders.
• Proactively mentor junior staff and teammates, raising the bar for research rigor, engineering practice, and delivery habits across project teams.
• Maintain strong awareness of frontier developments aligned to the Frontier Lab, share insights with the lab, and help shape research directions and future work selection.
• Manage multiple priorities effectively, sustain steady execution cadence, and resolve blockers with minimal oversight.
• Build a strong research culture through internal talks, reading groups, and workshops; and engage with external AI/ML communities (professional societies, consortiums, working groups, and conferences) to strengthen collaboration pathways and keep the lab connected to emerging practice.
Qualifications:
Required:
• BS in Computer Science, Electrical Engineering, Statistics, or related field with 10 years of relevant experience; OR MS with 8 years of relevant experience; OR PhD with 5 years of relevant experience.
• Deep expertise in one or more Frontier Lab-aligned areas (agentic systems, LLM reliability/evaluation, CV evaluation, robustness/assurance, TEVV pipelines, multimodal learning, edge ML).
• Strong engineering capability – can build and maintain high-quality prototypes, evaluation infrastructure, and repeatable experimentation workflows.
• Strong written and verbal communication skills; able to represent technical work credibly to senior stakeholders.
• Demonstrated ability to lead technical workstreams and coordinate multi-person execution.
• Flexible to travel to SEI offices in Pittsburgh, PA and Washington, DC / Arlington, VA, sponsor sites, conferences, and offsite meetings (~10% travel).
• You must be able and willing to work onsite at an SEI office in Pittsburgh, PA or Arlington, VA 5 days per week.
• You will be subject to a background investigation and must be eligible to obtain and maintain a Department of War security clearance.
Preferred:
• Leading applied research projects resulting in effective prototypes, mission-relevant evaluation outcomes, or transitioned methods.
• Publications at strong venues (e.g., NeurIPS / ICLR / ICML, relevant workshops, MLCON), and/or demonstrable impact through applied research artifacts (benchmarks, evaluation suites, open-source, technical reports).
• Designing and operating TEVV efforts including evaluation pipelines, robustness analysis, calibration/uncertainty work, regression suites, and scenario-based evaluation protocols.
• Building agentic capabilities integrated with tools, data systems, and human workflows (decision support, planning, analytic contexts).
• Experience with secure or operational environments and delivery constraints typical of government settings.
• Experience shaping a technical roadmap or research portfolio aligned to sponsor priorities and lab strategy.
Company:
Carnegie Mellon University is a research university offering programs and research across engineering, science, arts, and business. Founded in 1900, the company is headquartered in Pittsburgh, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

What Carnegie Mellon University employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply