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Algorithm Engineer Jobs in Philadelphia, PA (NOW HIRING)

URBN

URBN Staff Engineer, GenAI

Philadelphia, PA · On-site

Champion best practices in full-stack algorithm engineering. Role Qualifications * Generative AI Systems: 1+ year of hands-on experience building or operationalizing image generation systems ...

URBN

URBN Staff Engineer, GenAI

Philadelphia, PA · On-site +1

Champion best practices in full-stack algorithm engineering. Role Qualifications * Generative AI Systems: 1+ year of hands-on experience building or operationalizing image generation systems ...

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$60K

$112.6K

$204.8K

How much do algorithm engineer jobs pay per year?

As of Jun 1, 2026, the average yearly pay for 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 does an Algorithm Engineer do?

An Algorithm Engineer designs, develops, and optimizes algorithms to solve complex computational problems. They analyze data, improve system performance, and implement mathematical models for various applications, such as machine learning, computer vision, and optimization. This role requires proficiency in programming languages like Python or C++, strong mathematical skills, and an understanding of data structures and algorithms. Algorithm Engineers work closely with software developers, data scientists, and researchers to integrate efficient solutions into real-world systems.

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

To thrive as an Algorithm Engineer, you need a strong background in mathematics, computer science, and programming, usually demonstrated with a degree in these fields and experience in algorithm design and analysis. Familiarity with languages like Python, C++, or Java, and tools such as MATLAB or TensorFlow, as well as relevant certifications like those in data science or machine learning, are typically advantageous. Outstanding problem-solving abilities, analytical thinking, and effective communication are critical soft skills for success in this role. These competencies are crucial because they enable Algorithm Engineers to design efficient, innovative solutions and collaborate seamlessly with multidisciplinary teams.

What are the typical challenges an Algorithm Engineer faces in their day-to-day work?

Algorithm Engineers often encounter complex problems that require creative, efficient solutions within strict performance or resource constraints. They may need to optimize existing algorithms, develop new ones from scratch, and ensure seamless integration into larger software systems, often while balancing accuracy, speed, and scalability. Collaborating with other engineers, data scientists, and product teams to align technical efforts with business goals is also a regular part of the job. Staying updated with the latest advancements in algorithms and technology is essential, making continuous learning a key aspect of the role.
More about Algorithm Engineer jobs
What are the most commonly searched types of Algorithm Engineer jobs in Philadelphia, PA? The most popular types of Algorithm Engineer jobs in Philadelphia, PA are:
What cities near Philadelphia, PA are hiring for Algorithm Engineer jobs? Cities near Philadelphia, PA with the most Algorithm Engineer job openings:
Algorithm Engineer jobs near you
Infographic showing various Algorithm Engineer job openings in Philadelphia, PA as of May 2026, with employment types broken down into 95% Full Time, 4% Part Time, and 1% Contract. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution, with an average salary of $112,646 per year, or $54.2 per hour.
URBN Staff Engineer, GenAI

URBN Staff Engineer, GenAI

URBN

Philadelphia, PA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 10 days ago

URBN rating

6.7

Company rating: 6.7 out of 10

Based on 54 frontline employees who took The Breakroom Quiz

30th of 102 rated fashion retailers

Job description

Role Summary
URBN is hiring a Staff Engineer (GenAI) to join the development of AI-powered visual experiences, with a primary focus on building and operationalizing image and video generation systems. We are looking for an experienced engineer to join our mission of integrating generative AI solutions with creative tools and production workflows. In this role, you will own the engineering side of multi-model generative pipelines, turning research prototypes into reliable, scalable services that power AI-first innovations across our digital ecosystem. You will collaborate with a talented cross-functional team comprising data scientists, UX designers, product managers, creative partners, and domain experts to deliver significant business impact.
This role will focus on making generative systems robust, efficient, and production-ready. The ideal candidate brings deep software engineering fundamentals, comfort with agentic AI tooling, and enough generative AI fluency to wrangle prompts, orchestrate multi-step visual workflows, and reason about output quality, even if they are not the one doing final model tuning or evaluation design.
If you are energized by the intersection of software engineering and generative AI, and you want to build the infrastructure and tooling that turns cutting-edge image and video models into real products, we invite you to help shape the future of intelligent, AI-native creative experiences at URBN.
Role Responsibilities
  • Design, build, and optimize image and video generation pipelines (generation, inpainting, upscaling, style transfer, conditioning, post-processing) into production-ready, observable services with attention to cost, latency, and throughput.
  • Design and develop agentic workflows (ADK, A2A, LangGraph, or similar), MCP servers (FastMCP or similar), and microservices (FastAPI, GraphQL, or similar) to orchestrate and serve generative AI capabilities at scale.
  • Develop prompt management systems and structured prompting strategies for consistent visual output, learning on the job how to wrangle prompts for fashion-specific and virtual try-on use cases. Engineer consistency mechanisms and quality gates in partnership with data scientists who own evaluation methodology.
  • Integrate multimodal and vision-language models into production workflows for image understanding, automated tagging, captioning, and quality pre-screening.
  • Collaborate with Product Designers, Product Managers, Data Scientists, and other Engineers to translate brand and business needs into scalable generative AI solutions. Evaluate new technologies, models, and vendors through proof-of-concept studies.
  • Implement and maintain ML architecture, including pipelines and applications that enable training and inference of generative models in production. Champion best practices in full-stack algorithm engineering.

Role Qualifications
  • Generative AI Systems: 1+ year of hands-on experience building or operationalizing image generation systems (diffusion models, multimodal pipelines) in a professional applied context. Working familiarity with the rapidly evolving landscape of image and video generation models and orchestration patterns.
  • AI-Augmented Development & Agentic AI: Proficient with AI-powered development tools (e.g., Cursor, VS Code Copilot, Claude Code, or Gemini). Experience designing agentic workflows or AI orchestration systems using LangGraph, ADK, A2A, CrewAI, or similar. Familiarity with MCP (Model Context Protocol) is a strong plus.
  • Python & ML Frameworks: Strong proficiency in Python, with practical experience using PyTorch and/or Hugging Face for model serving, fine-tuning support, and inference optimization.
  • APIs, Distributed Systems & Cloud: Strong background in scalable RESTful APIs, microservices architecture, and high-availability distributed systems. Proficiency with Docker, container orchestration, cloud-native services, and cloud-based AI infrastructure. Experience with Terraform or similar IaC tooling.
  • Engineering Practices: Dedication to CI/CD pipelines, TDD, and automated code quality standards. Excellent communicator who can bridge technical, data science, and creative teams. Comfortable with ambiguity and minimal oversight.
  • Education: Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related quantitative field, or equivalent practical experience.
Nice to Haves
  • Experience with video generation models, or with fashion/retail/e-commerce applications of generative AI such as virtual try-on, AI product photography, or on-model image generation.
  • Experience building tooling and orchestration for model fine-tuning workflows (LoRA, DreamBooth, ControlNet, IP-Adapter, textual inversion), enabling data scientists to iterate quickly on adaptation techniques.
  • Background in computer vision fundamentals (segmentation, detection, embeddings) or LLM evaluation frameworks for generative outputs.
  • Experience with prompt engineering at scale, creative design tools (Adobe Photoshop, Firefly, Figma), or data pipeline orchestration (Airflow, dbt, or similar).

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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