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Remote Machine Learning Engineer Jobs in State College, PA

AVTC Group

Sr Software Engineer

State College, PA · On-site +1

$119K - $157K/yr

... Agile, DevOps environment. We are at the forefront of aerospace and defense technology. Our ... in Machine Learning and Data Science. • Experience working with large datasets and performing ...

Penn State University

Grading Assistant

University Park, PA · On-site +1

$15 - $18.75/hr

Course topics may include geographic information systems (GIS), spatial data science, remote sensing, and geospatial programming. Responsibilities include evaluating student work in the learning ...

Tuscarora Intermediate Unit 11

Applications Developer

PA · On-site +1

This position is open for remote work as well. Applicants must apply via Applitrack and complete ... learning management systems, including Moodle and affiliated platforms. 5. Design, develop, and ...

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All JobsMachine Learning Engineer JobsRemote Machine Learning Engineer JobsRemote Machine Learning Engineer Jobs in State College, PA

Remote Machine Learning Engineer information

See State College, PA salary details

$30.8K

$125.9K

$189.2K

How much do remote machine learning engineer jobs pay per year?

As of Jul 25, 2026, the average yearly pay for remote machine learning engineer in State College, PA is $125,936.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,300.00 and $151,600.00 per year, depending on experience, location, and employer.

What engineers make $300,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning, and proficiency with tools like TensorFlow or PyTorch can earn $300,000 or more annually. High compensation often reflects expertise, leadership roles, or working in competitive industries such as tech or finance, especially in organizations valuing AI development.

What are some typical challenges faced by Remote Machine Learning Engineers, and how are they addressed?

Remote Machine Learning Engineers often face challenges such as coordinating across different time zones, ensuring smooth communication with team members, and accessing large datasets or secure environments remotely. Organizations commonly address these by using robust collaboration tools (like Slack, GitHub, and Jira), establishing clear documentation, and setting regular virtual meetings to maintain alignment. Many companies also provide secure remote environments or VPN access for handling sensitive data and code. Proactive communication and organized workflows help mitigate these challenges, enabling engineers to remain productive and connected to their teams.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning, and proficiency with tools like TensorFlow or PyTorch can earn $500,000 or more annually, especially in high-cost-of-living areas or within top tech companies. Compensation often includes base salary, bonuses, and stock options, reflecting their expertise and impact on business outcomes.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and deploy AI models, and their role is unlikely to be fully replaced by AI itself. Instead, AI tools can augment their work by automating routine tasks, allowing MLEs to focus on complex problem-solving, model optimization, and system integration. Continuous learning and expertise in programming, data handling, and model evaluation remain essential for MLEs in an evolving AI landscape.

What are the key skills and qualifications needed to thrive in the Remote Machine Learning Engineer position, and why are they important?

To thrive as a Remote Machine Learning Engineer, you need a strong background in computer science, mathematics, and experience with machine learning algorithms, typically supported by a relevant degree and prior project work. Proficiency with programming languages like Python, machine learning frameworks such as TensorFlow or PyTorch, and familiarity with cloud computing platforms is crucial, and certifications like AWS Certified Machine Learning can enhance your profile. Excellent communication, self-motivation, and time-management skills are also essential for collaborating across remote teams and meeting project goals. These combined technical and soft skills are vital for developing effective machine learning solutions while ensuring productivity and collaboration in a virtual work environment.

What is a Remote Machine Learning Engineer job?

A Remote Machine Learning Engineer designs, develops, and deploys machine learning models while working from a remote location. They preprocess data, train and optimize models, and integrate them into production systems. Their role often involves collaborating with data scientists, software engineers, and stakeholders to solve complex problems using AI. Strong programming skills in Python, experience with ML frameworks like TensorFlow or PyTorch, and cloud computing knowledge are essential. Remote ML engineers must also communicate effectively and manage their time efficiently to work asynchronously with teams.

Can ML engineers work remotely?

Yes, many machine learning engineers work remotely, especially in roles that involve programming, data analysis, and model development using tools like Python, TensorFlow, or PyTorch. Remote work arrangements depend on the employer's policies and the specific project requirements, but it is common in the tech industry for ML engineers to work from home or other locations.
What are the most commonly searched types of Machine Learning Engineer jobs in State College, PA? The most popular types of Machine Learning Engineer jobs in State College, PA are:
What are popular job titles related to Remote Machine Learning Engineer jobs in State College, PA? For Remote Machine Learning Engineer jobs in State College, PA, the most frequently searched job titles are:
What cities near State College, PA are hiring for Remote Machine Learning Engineer jobs? Cities near State College, PA with the most Remote Machine Learning Engineer job openings:
Remote Machine Learning Engineer jobs near you
Infographic showing various Remote Machine Learning Engineer job openings in State College, PA as of July 2026, with employment types broken down into 87% Full Time, 11% Part Time, and 2% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $125,936 per year, or $60.5 per hour.
Postdoctoral Scholar

Postdoctoral Scholar

Penn State University

University Park, PA • On-site, Remote

Full-time

Posted 17 days ago

Penn State University rating

7.8

Company rating: 7.8 out of 10

Based on 103 frontline employees who took The Breakroom Quiz

204th of 560 rated colleges and universities

Job description

APPLICATION INSTRUCTIONS:
  • CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process. Please do not apply here, apply internally through Workday.
  • CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State, please login to Workday to complete the student application process. Please do not apply here, apply internally through Workday.
  • If you are NOT a current employee or student, please click "Apply" and complete the application process for external applicants.

Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants.
This is a term position; length of the term will be discussed during the interview process. Continuation past the term length discussed will be based on university need, performance, and/or availability of funding.
POSITION SPECIFICS
The Department of Mathematics in Penn State's Eberly College of Science is seeking a Postdoctoral Scholar beginning August 2026. The successful candidate will work with Professor John Harlim and his collaborators, Yan Li in the Electrical Engineering department, and Daning Huang in the Aerospace Engineering department in the area of Scientific Machine Learning. The project is to develop computationally efficient reduced-order dynamical systems on graph with modern power grid systems as an application.
Education and Experience:
Applicants must have recently completed a Ph.D. and have exceptional research potential. Teaching may be required.
Qualified candidates are expected to have a background in scientific machine learning, numerical analysis, and dynamical systems. Preference will be given to candidates that are proficient with graph neural networks and other scientific machine learning tools.
Additional Information:
Applicants must complete the Penn State application and must also submit an application through Mathjobs.org (https://www.mathjobs.org/) with the following materials for the application to be complete:
  • Cover letter
  • Curriculum Vitae
  • Teaching Statement
  • Research Statement
  • Publications List
  • At least three reference letters uploaded to Mathjobs.org with your application (one letter must address in detail the candidate's abilities as a teacher.)

Review of applications will begin immediately and continue until the position is filled.
BACKGROUND CHECKS/CLEARANCES
Employment with the University will require successful completion of background check(s) in accordance with University policies.
BENEFITS
Penn State provides a competitive benefits package for full-time employees designed to support both personal and professional well-being.
For more detailed information, please visit our Benefits Page. (Note: For Postdoctoral benefits, please see our Postdoctoral Benefits page.)
CAMPUS SECURITY CRIME STATISTICS
Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988, Penn State publishes a combined Annual Security and Annual Fire Safety Report (ASR). The ASR includes crime statistics and institutional policies concerning campus security, such as those concerning alcohol and drug use, crime prevention, the reporting of crimes, sexual assault, and other matters. The ASR is available for review here.
EEO IS THE LAW
Penn State is an equal opportunity employer and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are unable to use our online application process due to an impairment or disability, please contact 814-865-1473.
The Pennsylvania State University is committed to and accountable for advancing equity, respect, and belonging. We embrace individual uniqueness, as well as a culture of belonging that supports equity initiatives, leverages the educational and institutional benefits of inclusion in society, and provides opportunities for engagement intended to help all members of the community thrive. We value belonging as a core strength and an essential element of the university's teaching, research, and service mission.
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