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Ai Algorithm Engineer Jobs in Philadelphia, PA (NOW HIRING)

Champion best practices in full-stack algorithm engineering Role Qualifications * AI-Augmented Development: Proficient in leveraging AI-powered development tools (e.g., Cursor, VS Code Copilot ...

Design, develop, and implement AI/ML models and algorithms using Python. Deploy and manage AI ... Collaborate with data scientists and other engineers to integrate AI models into existing systems.

Champion best practices in full-stack algorithm engineering Role Qualifications * AI-Augmented Development: Proficient in leveraging AI-powered development tools (e.g., Cursor, VS Code Copilot ...

AI Engineer

Philadelphia, PA · On-site

$50K - $112K/yr

Within our Internal Firm Services practice, you will apply data, algorithms, and software ... AI engineering What You Must Have - At least a Bachelor's degree or, in lieu of a degree ...

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Ai Algorithm Engineer information

See Philadelphia, PA salary details

$60K

$112.6K

$204.8K

How much do ai algorithm engineer jobs pay per year?

As of Aug 26, 2026, the average yearly pay for ai algorithm engineer in Philadelphia, PA is $112,646.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,200.00 and $133,700.00 per year, depending on experience, location, and employer.

What is an AI algorithm engineer?

AI Algorithm Engineers are professionals who design, develop, and optimize algorithms that enable artificial intelligence systems to learn from data and perform complex tasks. They work with machine learning, deep learning, and other AI techniques to create models that can analyze information, make predictions, or automate processes. AI Algorithm Engineers often collaborate with data scientists and software developers to implement and improve AI solutions for various industries, such as healthcare, finance, and technology. Their work involves both theoretical research and practical application, requiring strong programming and mathematical skills.

What are the key skills and qualifications needed to thrive as an AI algorithm engineer?

To thrive as an AI Algorithm Engineer, you need strong expertise in mathematics, programming (especially Python, C++, or Java), and a solid background in computer science or a related field, often supported by a relevant degree. Familiarity with machine learning frameworks (like TensorFlow, PyTorch), data processing tools, and sometimes certifications in AI or data science are typically required. Creative problem-solving, strong analytical thinking, and effective communication are crucial soft skills that set top candidates apart. These skills and qualifications are essential for designing robust AI solutions, collaborating with cross-functional teams, and driving innovation in rapidly evolving technical environments.

What are some common challenges AI algorithm engineers face when deploying models to production environments?

AI Algorithm Engineers often encounter challenges such as ensuring model scalability, maintaining inference speed, and handling the integration of models with existing systems. Additionally, they must address issues like model drift, data pipeline inconsistencies, and the need for continuous monitoring to maintain accuracy over time. Effective collaboration with data engineers, software developers, and DevOps teams is essential for successful deployment and ongoing model performance.

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

AspectAi Algorithm EngineerData Scientist
Required CredentialsBachelor's or Master's in CS, AI, or related fields; knowledge of algorithms and programmingBachelor's or Master's in CS, Statistics, or related fields; strong analytical skills
Work EnvironmentDevelops and optimizes AI algorithms, often in R&D or product teamsAnalyzes data, builds models, and provides insights for business decisions
Industry UsageTech companies, AI startups, research institutionsFinance, healthcare, marketing, tech firms

While both roles require strong technical skills and a background in data or algorithms, Ai Algorithm Engineers focus on designing and improving AI algorithms, whereas Data Scientists analyze data to generate insights and build predictive models. The roles often overlap but serve different primary functions within organizations.

Is an AI Algorithm Engineer still in demand?

AI Algorithm Engineers are currently in high demand due to the rapid growth of artificial intelligence applications across industries such as technology, healthcare, and finance. Skills in machine learning, deep learning, and programming languages like Python or TensorFlow are highly valued, and the role often requires staying updated with the latest research and tools. Employment prospects remain strong as organizations continue to invest in AI innovation and automation.

What is the salary of AI Algorithm Engineer?

The salary of an AI Algorithm Engineer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in machine learning and deep learning can earn higher compensation, often exceeding $180,000.

What are popular job titles related to Ai Algorithm Engineer jobs in Philadelphia, PA?

For Ai Algorithm Engineer jobs in Philadelphia, PA, the most frequently searched job titles are:

What job categories do people searching Ai Algorithm Engineer jobs in Philadelphia, PA look for?

The top searched job categories for Ai Algorithm Engineer jobs in Philadelphia, PA are:

Infographic showing various Ai Algorithm Engineer job openings in Philadelphia, PA as of August 2026, with employment types broken down into 78% Full Time, 20% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $112,646 per year, or $54.2 per hour.

URBN Staff Software Engineer

URBN

Philadelphia, PA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 11 days ago


URBN rating

6.7

Company rating: 6.7 out of 10

Based on 54 frontline employees who took The Breakroom Quiz

31st of 104 rated fashion retailers


Job description

Role Summary
URBN is hiring a Staff Software Engineer to join the development of AI-powered digital experiences. We are looking for an experienced full-stack Engineer to join our mission of integrating algorithmic solutions with creative tools. In this unique opportunity, you will use your full-stack engineering skills to implement middleware experiences and cutting-edge algorithms into our rapidly evolving products across our digital ecosystem. You will collaborate with a talented cross-functional team comprising UX designers, data scientists, product managers, and domain experts to deliver significant business impact.
Role Responsibilities
  • Design and development of MCP servers for agentic tools using FastMCP or similar technologies.
  • Design and development of agentic workflows using ADK, A2A, LangGraph, or similar technologies.
  • Design and development of microservices using FastAPI, GraphQL, or similar technologies.
  • Develop functional designs while interacting with enterprise architects, developers, business partners, and end users
  • Collaborating with Product Designers, Product Managers, and other Software Engineers to deliver compelling user-facing products.
  • Conduct exploratory proof-of-concept studies to assess potential deployment architectures and evaluate new data engineering technologies.
  • Propose, promote, and facilitate paved paths for algorithm integration and productization, laying foundations for feedback loops and data flywheels.
  • Collaborate with the team to implement and maintain the ML architecture, including data pipelines and applications that enable training and inference of ML models in production.
  • Foster strong cross-functional partnerships.
  • Champion best practices in full-stack algorithm engineering

Role Qualifications
  • AI-Augmented Development: Proficient in leveraging AI-powered development tools (e.g., Cursor, VS Code Copilot, Claude Code, or Gemini) to accelerate code authoring, refactoring, and complex troubleshooting while maintaining high standards for code quality and security.
  • RESTful APIs & Distributed Systems: Strong background in designing and building scalable RESTful APIs and Distributed Systems. Experience with microservices architecture, consensus patterns, and ensuring high availability across distributed nodes.
  • System Integration & AI Workflows: Ability to integrate complex workflows and AI/ML services into backend systems using modern orchestration frameworks and event-driven patterns.
  • Containerization & Cloud: Proficiency with Docker for containerization and experience deploying applications to major public cloud platforms. Skilled in managing serverless workloads, container orchestration, and cloud-native services.
  • Infrastructure as Code (IaC): Hands-on experience defining and managing infrastructure using Terraform or similar tools to ensure reproducible, version-controlled, and auditable environments.
  • Database Management: Proficiency with relational databases for transactional workloads, including schema design, connection pooling, and performance tuning.
  • Quality & Automation: Dedication to modern engineering practices, including CI/CD pipelines, Test-Driven Development (TDD), and automated code quality standards.
  • 10+ years of experience in a Software Engineering role.

The Perks
URBN offers comprehensive Perks & Benefits to employees. Availability and eligibility to specific benefits may be subject to your location and employment status. Benefits include medical, dental, vision, PTO, generous employee discounts, retirement savings and much more! For additional information visit www.urbn.com/work-with-us/benefits
EEO Statement
URBN celebrates diversity and is committed to creating an inclusive environment for all employees. We are proud to provide equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, sex (including gender, pregnancy, sexual orientation, and gender identity or expression), religion, creed, age, physical or mental disability, national origin or ancestry, ethnicity, citizenship, service in the uniformed services, genetic information, or any other protected characteristic as established by law. We believe strongly in fostering a safe, fair and respectful work environment. To ensure compliance with our non-discrimination and anti-harassment policies, we offer anti-harassment training to managers and employees.

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