ZipRecruiter

Log In

1

Senior Algorithm Engineer Jobs in Pennsylvania (NOW HIRING)

Lockheed Martin

Software Engineer Sr.

King Of Prussia, PA · On-site

$119.70K - $157.80K/yr

The Software Engineer Sr. is a senior individual contributor who contributes to the design ... Comfortable with common structures (lists, maps, trees, graphs) and algorithmic thinking (search ...

Lockheed Martin

Software Engineer Sr.

King Of Prussia, PA · On-site

$119.70K - $157.80K/yr

The Software Engineer Sr. is a senior individual contributor who contributes to the design ... Comfortable with common structures (lists, maps, trees, graphs) and algorithmic thinking (search ...

Globus Medical

Senior Software Engineer

Audubon, PA · On-site

$123.60K - $162.90K/yr

Here, we develop novel tracking platforms, sensors and algorithms by working with top surgeons and a cross-functional engineering team. The Senior Software Engineer will be responsible for software ...

Globusmedical

Senior Software Engineer

Audubon, PA

$123.60K - $162.90K/yr

Here, we develop novel tracking platforms, sensors and algorithms by working with top surgeons and a cross-functional engineering team. The Senior Software Engineer will be responsible for software ...

Duolingo

Senior/iOS Engineer II

Pittsburgh, PA · On-site

$135.90K/yr

As a Senior iOS Engineer II, you will collaborate on software projects, develop and maintain native ... algorithms, and software design • Programming experience in Swift Preferred : • Strong ...

New

Minitab

Senior Software Engineer

State College, PA · On-site

$119.50K - $157.50K/yr

... algorithms, and data structures • Proficiency in one or more programming languages (e.g., C++, C#, Python, JavaScript) • Experience with web technologies including HTML/CSS, JavaScript, and ...

Waabi

Senior / Staff Perception Engineer

Pittsburgh, PA

$158K - $269K/yr

To learn more visit: www.waabi.ai As a Senior Perception Engineer, you will be at the forefront of ... You will... - Prototype, evaluate, and iterate on perception algorithms, using real-world data and ...

Waabi

Senior / Staff Perception Engineer

Pittsburgh, PA

$158K - $269K/yr

To learn more visit: www.waabi.ai As a Senior Perception Engineer, you will be at the forefront of ... You will... - Prototype, evaluate, and iterate on perception algorithms, using real-world data and ...

Globusmedical

Senior Software Engineer

Audubon, PA

$123.60K - $162.90K/yr

Here, we develop novel tracking platforms, sensors and algorithms by working with top surgeons and a cross-functional engineering team. The Senior Software Engineer will be responsible for software ...

Seakeeper Inc

Senior Controls Development Engineer

Leesport, PA · On-site

$90.40K - $119.30K/yr

As our Senior Controls Development Engineer, youll play a pivotal role in developing, testing, and ... Designing and implementing control algorithms in MATLAB and Simulink to meet high-level functional ...

Seakeeper Inc

Senior Controls Development Engineer

Leesport, PA · On-site

$90.40K - $119.30K/yr

As our Senior Controls Development Engineer, you'll play a pivotal role in developing, testing, and ... Designing and implementing control algorithms in MATLAB and Simulink to meet high-level functional ...

next page

Showing results 1-20

People also search for

All JobsAlgorithm Engineer JobsSenior Algorithm Engineer JobsSenior Algorithm Engineer Jobs in Pennsylvania

Senior Algorithm Engineer information

See Pennsylvania salary details

$59.6K

$126.9K

$183.9K

How much do senior algorithm engineer jobs pay per year?

As of May 31, 2026, the average yearly pay for senior algorithm engineer in Pennsylvania is $126,861.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,800.00 and $143,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Senior Algorithm Engineer, and why are they important?

To thrive as a Senior Algorithm Engineer, you need advanced proficiency in mathematics, computer science, and algorithm design, usually supported by a relevant degree and extensive experience in the field. Expertise with programming languages such as Python or C++, proficiency with machine learning libraries, and familiarity with version control systems like Git are commonly required. Strong problem-solving skills, attention to detail, and the ability to communicate complex ideas clearly help set top candidates apart. These skills are crucial for developing robust, efficient solutions and collaborating effectively on challenging technical projects.

What are some common challenges faced by Senior Algorithm Engineers when deploying algorithms into production environments?

Senior Algorithm Engineers often encounter challenges such as ensuring that algorithms are both scalable and efficient when integrated into real-time systems. Balancing model accuracy with computational resource constraints is a frequent task, as well as addressing data inconsistencies and managing version control for iterative algorithm updates. Collaboration with software engineers and data engineers is essential to ensure smooth deployment, monitor performance, and quickly resolve any production issues. Staying updated with the latest frameworks and best practices also helps in overcoming these challenges.

What does a Senior Algorithm Engineer do?

A Senior Algorithm Engineer is responsible for designing, developing, and optimizing complex algorithms that solve technical problems or enhance product performance. They often work with large datasets, machine learning models, or mathematical techniques to create efficient solutions. In addition to coding, they may collaborate with cross-functional teams, review the work of junior engineers, and help set the technical direction for algorithm development projects. Their expertise ensures that products and systems run efficiently and accurately.

What is the difference between Senior Algorithm Engineer vs Data Scientist?

AspectSenior Algorithm EngineerData Scientist
Required CredentialsBachelor's or Master's in CS, EE, or related; strong math and programming skillsBachelor's or Master's in CS, Statistics, or related; strong analytical and programming skills
Work EnvironmentDevelops algorithms for software, hardware, or embedded systems in tech companiesAnalyzes data to extract insights, often in tech, finance, or healthcare sectors
Industry UsageCommon in AI, robotics, and software developmentPrevalent in analytics, machine learning, and business intelligence

While both roles require strong programming and analytical skills, Senior Algorithm Engineers focus on designing and optimizing algorithms for technical systems, whereas Data Scientists analyze data to inform business decisions. The roles often overlap in AI and machine learning projects but serve different primary functions within organizations.

What are the most commonly searched types of Algorithm Engineer jobs in Pennsylvania? The most popular types of Algorithm Engineer jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for Senior Algorithm Engineer jobs? Cities in Pennsylvania with the most Senior Algorithm Engineer job openings:
Senior Algorithm Engineer jobs near you

Senior Machine Learning Engineer - Secure AI Lab

Carnegie Mellon University

Pittsburgh, PA • On-site

$111.20K - $152.40K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 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

49th of 530 rated colleges and universities

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.

Joining the CMU team opens the door to an array of exceptional benefits.
Benefits eligible employees enjoy a wide array of benefits including comprehensive medical, prescription, dental, and vision insurance as well as a generous retirement savings program with employer contributions. Unlock your potential with tuition benefits, take well-deserved breaks with ample paid time off and observed holidays, and rest easy with life and accidental death and disability insurance.
Additional perks include a free Pittsburgh Regional Transit bus pass, access to our Family Concierge Team to help navigate childcare needs, fitness center access, and much more!
For a comprehensive overview of the benefits available, explore our Benefits page.
At Carnegie Mellon, we value the whole package when extending offers of employment. Beyond credentials, we evaluate the role and responsibilities, your valuable work experience, and the knowledge gained through education and training. We appreciate your unique skills and the perspective you bring. Your journey with us is about more than just a job; it's about finding the perfect fit for your professional growth and personal aspirations.
Are you interested in an exciting opportunity with an exceptional organization?! Apply today!
Location
Arlington, VA, Pittsburgh, PA
Job Function
Software/Applications Development/Engineering
Position Type
Staff - Regular
Full Time/Part time
Full time
Pay Basis
Salary
More 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

What Carnegie Mellon University employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply