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Remote Machine Learning Jobs in State College, PA

Sr Software Engineer

State College, PA · On-site +1

$119K - $157K/yr

... Machine Learning and Data Science. • Experience working with large datasets and performing data analysis. Qualifications We Prefer • Strong analytical skills and proactive problem-solving ...

Remote Machine Learning information

See State College, PA salary details

$24.9K

$41.6K

$86.1K

How much do remote machine learning jobs pay per year?

As of Sep 5, 2026, the average yearly pay for remote machine learning in State College, PA is $41,647.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,800.00 and $45,000.00 per year, depending on experience, location, and employer.

What is a remote machine learning job?

A remote machine learning job involves working with algorithms, data, and models to develop predictive systems or automate tasks, all while working from a location outside of a traditional office setting. Professionals in this role use techniques from statistics and computer science to analyze data, train machine learning models, and deploy solutions for real-world applications. Remote machine learning jobs can span various industries, including technology, healthcare, finance, and e-commerce. These roles typically require strong programming skills, knowledge of machine learning frameworks, and the ability to communicate findings effectively with team members or stakeholders. Working remotely offers flexibility, but also requires discipline and self-motivation to succeed.

What are some effective strategies for collaborating with team members while working remotely as a machine learning engineer?

Collaboration in a remote Machine Learning role often relies on clear communication through digital tools such as Slack, Zoom, and project management platforms like Jira or Asana. Regular check-ins and stand-up meetings help keep everyone aligned on project goals and timelines. Sharing code and models via version control systems (like Git) and using collaborative notebooks (such as JupyterHub or Google Colab) are also common practices. Building strong documentation habits and proactively seeking feedback can help ensure smooth teamwork and project success, even across different time zones.

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

AspectRemote Machine LearningData Scientist
Required CredentialsBachelor's/Master's in CS, ML certificationsBachelor's/Master's in CS, Statistics, or related field
Work EnvironmentRemote, collaborative teams, tech companiesRemote or on-site, diverse industries, analytics focus
Industry UsageTech, AI startups, researchFinance, healthcare, e-commerce, tech
Search & Comparison IntentOften compared for technical roles in AI/MLBroader data analysis roles, but overlapping skills

Remote Machine Learning specialists focus on developing algorithms and models primarily in tech environments, often requiring advanced programming and ML knowledge. Data Scientists analyze data to extract insights, sometimes utilizing ML techniques. While both roles share skills and credentials, Remote Machine Learning emphasizes model development, whereas Data Scientists focus on data analysis and interpretation.

What are the most commonly searched types of Machine Learning jobs in State College, PA?

The most popular types of Machine Learning jobs in State College, PA are:

What are popular job titles related to Remote Machine Learning jobs in State College, PA?

For Remote Machine Learning jobs in State College, PA, the most frequently searched job titles are:

What job categories do people searching Remote Machine Learning jobs in State College, PA look for?

The top searched job categories for Remote Machine Learning jobs in State College, PA are:

What cities near State College, PA are hiring for Remote Machine Learning jobs?

Cities near State College, PA with the most Remote Machine Learning job openings:

Infographic showing various Remote Machine Learning job openings in State College, PA as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 24% Part Time, and 1% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $41,647 per year, or $20 per hour.

Sr Software Engineer

AVTC Group

State College, PA • On-site, Remote

$119K - $157K/yr

Full-time

Medical, Dental, Vision

Re-posted 4 days ago


Key responsibilities

  • Design, develop, and test AI, ML, Java, and Python-based applications and software components for satellite ground systems.

  • Collaborate with cross-functional teams to define software requirements, work with existing code, and ensure software performance, reliability, and scalability.

  • Participate in software design reviews, code reviews, and system integration activities to support project milestones.


Job description

Active TS/SCI is a must - this effort is on-site
All qualified candidates will be responded to within 24 hrs or less.
Employment type: Full Time w-2 or C2C or 1099. Depending on the type of employment we can offer benefits: including Health, Dental Vision etc...
Rate: 90-115/hr DOE and compensation type
On-Site in State College PA
In the Senior ML/Data Science Software Engineering role, you will design, develop, and test AI/ML, Java and Python code in a Linux, Agile, DevOps environment. We are at the forefront of aerospace and defense technology. Our Satellite Ground Systems Team plays a pivotal role in ensuring communication, surveillance, and defense capabilities through cutting-edge satellite systems. We invite you to be part of a team that pushes the boundaries of what's possible. Due to the security clearance requirement, this is an onsite position in our State College, PA office.
What You Will Do
•Design, develop, and maintain advanced software applications for our Satellite Ground Systems.
•Collaborate closely with systems engineers, hardware designers, and other software engineers to deliver reliable and high-performance software solutions.
•Design, implement, and test AI, ML, Java and Python based applications and software components for satellite ground systems.
•Work in parallel with legacy platform teams to eventually migrate workloads onto your pipelines.
•Collaborate with cross-functional teams to define software requirements and specifications.
•Work with previously written code and make modifications as necessary.
•Ensure software performance, reliability, and scalability.
•Participate in software design reviews, code reviews, and system integration activities.
•Contribute to the completion of program and project milestones under the specific guidance of their immediate supervisor.
•Follow established Software processes and procedures, development, documentation and maintenance/management of operations concepts, requirements (system, element, segment level), external and internal interfaces, and other software engineering work products/artifacts.
Qualifications You Must Have
•Active and transferable U.S. government issued TS/SCI security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance.
•Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and five (5) years of Software Engineering experience.
•Experience in object-oriented software design and development using Java or Python in a Linux environment.
•Experience with unit testing tools (e.g., JUnit).
•Experience in Machine Learning and Data Science.
•Experience working with large datasets and performing data analysis.
Qualifications We Prefer
•Strong analytical skills and proactive problem-solving abilities, with a deep understanding of AI/ML technologies, cloud architecture, and enterprise software.
•Security+ certification.
•Experience with Git, Jenkins, Docker, Kubernetes.
•Experience with the Atlassian Tool Suite (e.g. JIRA, Confluence, BitBucket).
•Experience with cloud computing platform (e.g. AWS or Azure).
•Experience with satellite communication systems and protocols is highly preferred.
•Familiarity with secure coding practices, especially in a defense or aerospace setting.
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