2

Entry Level Computer Vision Engineer Jobs in State College, PA

... entry-level positions. You'll receive a status update email for each application, so be sure to ... Currently pursuing a quantitative degree in Computer Science, Statistics, Mathematics, Engineering ...

Federal Data Engineering Co-Op: 2027

University Park, PA · On-site

$112K - $134K/yr

... entry-level positions. You'll receive a status update email for each application, so be sure to ... Currently pursuing a quantitative degree in Computer Science, Statistics, Mathematics, Engineering ...

Federal Data Engineering Co-Op: 2027

University Park, PA · On-site

$112K - $134K/yr

... entry-level positions. You'll receive a status update email for each application, so be sure to ... Currently pursuing a quantitative degree in Computer Science, Statistics, Mathematics, Engineering ...

Federal Data Engineering Co-Op: 2027

University Park, PA · On-site

$112K - $134K/yr

... entry-level positions. You'll receive a status update email for each application, so be sure to ... Currently pursuing a quantitative degree in Computer Science, Statistics, Mathematics, Engineering ...

Research Engineer

State College, PA · On-site

$72K - $108K/yr

Utilize computer aided design software to develop electrical, mechanical, and/or software products ... In addition to comprehensive medical, dental, and vision coverage, employees enjoy robust ...

Showing results 21-40

Entry Level Computer Vision Engineer information

See State College, PA salary details

$48.3K

$121.1K

$137K

How much do entry level computer vision engineer jobs pay per year?

As of Sep 15, 2026, the average yearly pay for entry level computer vision engineer in State College, PA is $121,060.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,100.00 and $131,000.00 per year, depending on experience, location, and employer.

What does an entry level computer vision engineer do?

An Entry Level Computer Vision Engineer assists in developing computer systems that can interpret and process visual information from the world, such as images and videos. They typically work with machine learning algorithms, neural networks, and image processing techniques to solve problems like object detection, facial recognition, and image classification. Their work often involves data annotation, model training, testing, and optimizing algorithms under the guidance of senior engineers. Entry level engineers usually have a background in computer science or related fields and are familiar with programming languages such as Python and libraries like OpenCV and TensorFlow.

What types of projects do entry level computer vision engineers typically work on, and how much collaboration is involved?

Entry level computer vision engineers often work on tasks like annotating datasets, developing and testing algorithms for image or video analysis, and supporting the integration of computer vision models into existing applications. These projects usually require close collaboration with data scientists, senior engineers, and sometimes product managers to ensure models meet performance requirements. It's common to participate in code reviews and team meetings, fostering a supportive learning environment. As you gain experience, you'll likely take on more complex responsibilities and contribute to larger project components.

What are the key skills and qualifications needed to thrive as an entry level computer vision engineer, and why are they important?

To thrive as an Entry Level Computer Vision Engineer, you need a solid background in computer science, mathematics, and image processing, often supported by a relevant degree. Familiarity with programming languages like Python or C++, experience with deep learning frameworks (such as TensorFlow or PyTorch), and knowledge of OpenCV are typically required. Strong problem-solving abilities, attention to detail, and effective teamwork set top candidates apart. These skills and tools are essential for developing, optimizing, and implementing computer vision solutions in real-world applications.

What is the difference between Entry Level Computer Vision Engineer vs Computer Vision Analyst?

AspectEntry Level Computer Vision EngineerComputer Vision Analyst
Required CredentialsBachelor's in CS, Electrical Engineering, or related; knowledge of ML and CV frameworksBachelor's in CS, Data Science, or related; strong analytical skills
Work EnvironmentTech companies, R&D labs, startups; focus on developing algorithms and modelsData analysis teams, research firms; focus on interpreting CV data and insights
Employer & Industry UsageTech, automotive, robotics, healthcareMarket research, consulting, security, and surveillance

Entry Level Computer Vision Engineers focus on developing and implementing computer vision algorithms, often working in R&D or product teams. In contrast, Computer Vision Analysts primarily interpret and analyze CV data to generate insights. Both roles require a strong technical background, but their daily tasks and industry applications differ.

What job categories do people searching Entry Level Computer Vision Engineer jobs in State College, PA look for?

The top searched job categories for Entry Level Computer Vision Engineer jobs in State College, PA are:

What cities near State College, PA are hiring for Entry Level Computer Vision Engineer jobs?

Cities near State College, PA with the most Entry Level Computer Vision Engineer job openings:

Infographic showing various Entry Level Computer Vision Engineer job openings in State College, PA as of September 2026, with employment types broken down into 1% As Needed, 72% Full Time, 21% Part Time, and 6% Contract. Highlights an 60% In-person, and 40% Remote job distribution, with an average salary of $121,060 per year, or $58.2 per hour.

Federal Data Engineering Co-Op: 2027

University Park, PA

IBM
IT Services • 10K+ employees

$112K - $134K/yr

Full-time

Posted 28 days ago


IBM rating

8.0

Company rating: 8.0 out of 10

Based on 76 frontline employees who took The Breakroom Quiz


Job description

Introduction

Launch your career like an IBMer

Every IBMer has a story. For many, it started with an internship.

As an IBM co-op, you won’t just gain experience - you’ll start thinking, working, and growing like an IBMer. From day one, you’ll contribute to real client projects across diverse industries, working alongside experienced IBMers who are invested in your success. You’ll be challenged, supported, and inspired, often all in the same day. You’ll develop technical expertise and consulting skills in a culture built on continuous learning, mentorship, and coaching. High-performing interns have a clear pathway into IBM’s Associate Program, launching careers at one of the world’s most innovative technology and consulting companies.

About the Team

In this role, you will join IBM’s US Federal team to deliver secure, mission-critical technology solutions for government agencies. You’ll work with federal, state, and local clients while developing specialized expertise in government compliance and security standards. This role offers unique career growth in a high-demand sector where your contributions directly impact public services and government missions.

Your role and responsibilities

During your co-op experience, you can enhance your knowledge and gain professional experience by working on client projects. This role provides an exceptional opportunity to build a compelling portfolio, acquire new skills, gain insights into diverse industries, and embrace novel challenges for your future career.

At IBM, we prioritize continuous learning, skill development, and personal growth within a culture of coaching and mentorship. As a co-op, you’ll experience this culture and have the opportunity to advance to our associate program based on results and performance.

Work experiences you could be exposed to:

  • Mentored Analytical Support: Receive mentorship from diverse professionals in science engineering and consulting applying analytical rigor and statistical methods to predict behaviors.
  • Data Integrations: Develop skills in writing efficient and reusable programs to cleanse integrate and model data. Evaluate model results contributing to data-driven insights.
  • Effective Communication: Assist in conveying analytical results to both technical and non-technical audiences, refining your ability to communicate complex findings.
  • Tech-Driven Data Transformation: Utilize program languages like Python to build data pipelines, extracting and transforming data from repositories to consumers. Gain exposure to cloud platforms, ETL tools, and data integration, expanding your tech toolkit.

The primary internship program dates are May 24, 2027 and end May 26, 2028. This role requires candidates to work in University Park, PA.

Candidates must have the ability to obtain and maintain a Federal security clearance while in IBM Consulting-Federal.

To give yourself the best opportunity for success, we advise applying only to roles that align with your skills and experience, rather than applying broadly across all entry-level positions. You’ll receive a status update email for each application, so be sure to check your IBM Careers account regularly - it’s the best way to get a centralized view of which roles you have active applications against.

Required education

High School Diploma/GED

Required technical and professional expertise

  • Currently pursuing a quantitative degree in Computer Science, Statistics, Mathematics, Engineering, IST, or a related field.
  • Strong Interpersonal skills that enhance collaboration and relationship building, while also managing dynamic workloads in an agile environment.
  • Have initiative and passion to actively seek new knowledge and improve skills while embracing a growth mindset to assimilate diverse viewpoints.
  • Demonstrate leadership experience and ability to communicate effectively through active listening; while also be willing to adapt and have a readiness to take ownership of tasks and challenges.
  • Familiarity with one or more scripting languages (Python preferred), or a proven computer science foundation.
  • Ability to work in-office, on-site in University Park, PA during the academic year.
  • Ability to work up to 20 hours per week when classes are in session (e.g., fall and spring semesters) and availability to potentially work up to 40 hours per week during academic breaks (e.g., summer).

Preferred technical and professional experience

  • Demonstrate familiarity or interest in statistical analysis or data mining through previous internships, personal/academic projects, hackathons, and/or publications.
  • General familiarity with databases, data-engineering tools (SQL, spark) and cloud platforms (e.g., IBM Cloud, Azure, AWS). Experience with NLP/LLM/GenAI is a plus.
  • Experience using machine-learning/data science libraries in python (scikit-learn, SciPy, pandas, PyTorch) is a plus.

ABOUT BUSINESS UNIT

IBM Consulting is IBM’s consulting and global professional services business, with market leading capabilities in business and technology transformation. With deep expertise in many industries, we offer strategy, experience, technology, and operations services to many of the most innovative and valuable companies in the world. Our people are focused on accelerating our clients’ businesses through the power of collaboration. We believe in the power of technology responsibly used to help people, partners and the planet.

YOUR LIFE @ IBM

In a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better.

Being an IBMer means you’ll be able to learn and develop yourself and your career, you’ll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background.

Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do.

Are you ready to be an IBMer?

ABOUT IBM

IBM’s greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world.

Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we’re also one of the biggest technology and consulting employers, with many of the Fortune 500 companies relying on the IBM Cloud to run their business.

At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it’s time for you to join us on our journey to being a responsible technology innovator and a force for good in the world.

IBM is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by the applicable law. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

OTHER RELEVANT JOB DETAILS

Supplemental 1 employees may be eligible for up to 8 paid holidays, minimum of 56 hours paid sick time and the IBM Employee Stock Purchase Plan. IBM offers paid family medical leave and disability benefits to eligible employees where required by applicable law. This position was posted on the date cited in the key job details section and is anticipated to remain posted for 15 days from this date or less if not needed to fill the role. We consider qualified applicants with criminal histories, consistent with applicable law.

IBM will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship.

The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year.

Job Title

Federal Data Engineering Co-Op: 2027

Date posted

17-Aug-2026

Job ID

129244

City / Township / Village

University Park

State / Province

Pennsylvania

Country

United States

Work arrangement

Hybrid

Area of work

Data & Analytics

Employment type

Co-Op (Fixed Term)

Contract type

Internship

Projected Minimum Salary per year

46,620.00

Projected Maximum Salary per year

85,470.00

Position type

Internship

Travel required

Some travel may be required based on business demand

Company

(0147) International Business Machines Corporation

Shift

General (daytime)

Is this role a commissionable/sales incentive based position?

No


What IBM employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


IBM logo

About IBM

Sourced by ZipRecruiter

At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, lets talk.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Armonk, NY, US

Year founded

1911

Social media