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Algorithm Developer Jobs in Pennsylvania (NOW HIRING)

The Pennsylvania State University

$115K - $173K/yr

Collaborate with computer vision algorithm developers and data scientists to integrate machine learning algorithms, and incorporate physics-based and mathematical models where appropriate for ...

Xforia, Inc.

DevOps Engineer T3

Newtown Square, PA · On-site

$50.50 - $69/hr

DevOps Engineer Start: 01/27/2025 to 01/26/2026 Physical Work Arrangement: Hybrid Location: Newtown ... structures, algorithms, and software design large systems software design and development ...

The Pennsylvania State University

Implement and test algorithms across multiple domains: underwater, terrestrial, aerial, and space ... CI/CD pipelines and DevOps practices * Translation of business requirements into technical ...

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All JobsAlgorithm Developer JobsAlgorithm Developer Jobs in Pennsylvania

Algorithm Developer information

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$33

$78

$104

How much do algorithm developer jobs pay per hour?

As of Jul 16, 2026, the average hourly pay for algorithm developer in Pennsylvania is $78.68, according to ZipRecruiter salary data. Most workers in this role earn between $66.97 and $89.13 per hour, depending on experience, location, and employer.

What does an algorithm developer do?

An algorithm developer designs, analyzes, and implements algorithms to solve specific problems or improve processes, often working with data structures and programming languages. They optimize algorithms for efficiency and accuracy, frequently using tools like Python, C++, or MATLAB, and may collaborate with data scientists or software engineers. Their work is essential in fields such as machine learning, artificial intelligence, and software development.

How much do algorithm developers make?

Algorithm developers typically earn a median salary ranging from $80,000 to $130,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in machine learning or data analysis can earn higher salaries, often exceeding $150,000 per year.

What are some common challenges Algorithm Developers face when transitioning from academia to industry roles?

Algorithm Developers transitioning from academia to industry often encounter challenges such as adapting to faster-paced project timelines and prioritizing practical, scalable solutions over theoretical elegance. In industry, collaboration with cross-functional teams—like software engineers and product managers—is essential, requiring strong communication and teamwork skills. Additionally, there is a greater emphasis on writing production-quality, well-documented code and aligning algorithmic work with business objectives. Learning to balance innovation with deliverable deadlines is a key part of succeeding in these roles.

Will AI replace algorithm developers?

AI is unlikely to fully replace algorithm developers, as their role involves designing, optimizing, and understanding complex algorithms that require human creativity and domain expertise. Instead, AI tools can assist developers by automating routine tasks and enhancing productivity, allowing them to focus on more advanced problem-solving and innovation.

What Does an Algorithm Developer Do?

The job duties of an algorithm developer revolve around researching, writing, and performance testing algorithms. As an algorithm developer, your responsibilities include working to implement your algorithms and then to analyze and modify them as needed. Generally, algorithms use data from a system to generate actions, processes, or reports, so with each algorithm you build, you must first identify the goals and then work to achieve specific results. In this career, you may collaborate with a team to create theories and then perform research and tests until you have designed an efficient algorithm.

What engineer makes $500,000 a year?

Senior software engineers, especially those working in high-demand fields like artificial intelligence, machine learning, or at major tech companies, can earn $500,000 or more annually. Compensation often includes base salary, bonuses, and stock options, and typically requires advanced skills, extensive experience, and sometimes leadership roles.

What are the key skills and qualifications needed to thrive as an Algorithm Developer, and why are they important?

To thrive as an Algorithm Developer, you need strong programming skills (often in languages like Python, C++, or Java), a solid grasp of data structures and algorithms, and typically a degree in computer science or a related field. Familiarity with version control systems (like Git), algorithm analysis tools, and sometimes knowledge of specialized libraries (e.g., NumPy, TensorFlow) is expected. Analytical thinking, problem-solving, and effective communication are vital soft skills for designing efficient solutions and collaborating with teams. These skills ensure the creation of robust, optimized algorithms that meet technical requirements and business goals.
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Algorithm Developer jobs near you
Infographic showing various Algorithm Developer job openings in Pennsylvania as of July 2026, with employment types broken down into 3% Locum Tenens, 64% Full Time, 27% Part Time, 1% Temporary, 4% Contract, and 1% Nights. Highlights an 73% Physical, 5% Hybrid, and 22% Remote job distribution, with an average salary of $163,656 per year, or $78.7 per hour.
Senior Machine Learning Engineer - Secure AI Lab

Senior Machine Learning Engineer - Secure AI Lab

Software Engineering Institute

Pittsburgh, PA • On-site

$111K - $152K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

At the SEI AI Division, we conduct research in applied artificial intelligence and the engineering questions related to the practical design and implementation of AI technologies and systems. We currently lead a community-wide movement to mature the discipline of AI Engineering for Defense and National Security.
As our government customers adopt AI and machine learning to provide leap-ahead mission capabilities, we
  • build real-world, mission-scale AI capabilities through solving practical engineering problems

  • discover and define the processes, practices, and tools to support operationalizing AI for robust, secure, scalable, and human-centered mission capabilities

  • prepare our customers to be ready for the unique challenges of adopting, deploying, using, and maintaining AI capabilities

  • identify and investigate emerging AI and AI-adjacent technologies that are rapidly transforming the technology landscape

Are you creative, curious, energetic, collaborative, technology-focused, and hard-working? Are you interested in making a difference by bringing innovation to government organizations and beyond? Apply to join our team.
Overview: As a Senior Machine Learning Engineer, you will specialize in engineering solutions that support research into the vulnerabilities of AI and ML algorithms and securing against those vulnerabilities.
The Secure AI Lab within the SEI's AI Division focuses on improving the security and robustness of AI systems. As part of the world-class research community at Carnegie Mellon University, the Secure AI Lab conducts and applies cutting-edge research to protect AI systems from adversaries who aim to manipulate the system to learn, do, or reveal something it isn't supposed to.
The Secure AI Lab consists of machine learning research scientists, machine learning engineers, and software developers who work together to solve problems in the following areas:
  • Counter AI Research: Study threat models targeting AI and ML algorithms, understand the behaviors of AI algorithms, identify weak points, and design novel ways to subvert AI and ML systems.

  • AI and ML Algorithm Defense Research: Create practical mitigations and defenses for observed attacks affecting AI and ML algorithms and evaluate the effectiveness of defensive techniques.

  • Applied Adversarial Machine Learning: Advance the state of the art in adversarial machine learning by developing and transitioning capabilities to government sponsors.

As an engineer, you will solve problems for government sponsors by analyzing, designing, and building responsible AI systems.
Your day-to-day engineering tasks will include:
  • Identifying and investigating emerging AI and AI-adjacent technologies.

  • Defining and refining processes, practices, and tools for working with AI.

  • Designing and building well-engineered prototypes of AI systems.

  • Transitioning and providing guidance onAI capabilities to government sponsors.

Duties
  • Building Machine Learning Models and Systems: You will work with machine learning frameworks such as TensorFlow, PyTorch, Torch, and Caffe and modern programming languages including Python, C/C++, and Java. You will build and work with data pipelines, ETL processes, and backend systems. You will work with, extend, and implement state-of-the-art machine learning methods.

  • Technical Experimentation: You will experiment with modern and emerging machine learning frameworks, methods, and algorithms in application domains that include computer vision, natural language processing, planning and scheduling, robot control, and engineering safe, trusted, and reliable machine learning systems.

  • Testing and evaluation. You'll conduct rapid prototyping to demonstrate and evaluate technologies in relevant environments. You'll evaluate systems for performance and security. You'll test capabilities using novel testing and analysis techniques.

  • Collaboration. You'll actively participate on teams of developers, researchers, designers, and technical leads. You'll collaborate with researchers and our government customers to understand challenges, needs, and possible solutions.

  • Mentoring. You'll contribute to improving the overall technical capabilities of the Division by mentoring and teaching others, participating in design (software and otherwise) sessions, and sharing insights and wisdom across the SEI.

Knowledge and Experience
  • Comprehensive knowledge of machine learning; previous experience in adversarial machine learning desirable but not required

  • A track record of using well-established engineering practices to solve difficult problems

  • An understanding of how to convert research results into functioning prototypes or capabilities

  • Experience leading technical projects in novel areas with limited previous work to build upon

  • Strong written and verbal communication skills; able to convey complex technical ideas in a layperson's terms

  • Ample experience with publishing written or technical artifacts showcasing your work

  • Strong collaboration skills for working with colleagues and sponsors

  • Willingness to guide and mentor junior team members

Requirements
  • A bachelor's degree in computer science, statistics, machine learning, electrical engineering, or related discipline with ten (10) years of experience; OR MS in the same fields with eight (8) years of experience; OR PhD with five (5) years of experience.
  • Willingness to work onsite 5 days per week at SEI offices in Pittsburgh, PA or Arlington, VA.

  • Be able to obtain and maintain an active Department of War security clearance.
  • Willing to travel up to 25% of the time to locations outside of your home location. Travel sites include SEI offices in Pittsburgh and Washington, D.C., sponsor sites, and conferences.

Location
Arlington, VA, Pittsburgh, PA
Job Function
Software/Applications Development/Engineering
Position Type
Staff - Regular
Full time/Part time
Full time
Pay Basis
SalaryMore Information:
  • Please visit "Why Carnegie Mellon" to learn more about becoming part of an institution inspiring innovations that change the world.
  • Click here to view a listing of employee benefits
  • Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.
  • Statement of Assurance

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