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Embedded Machine Learning Jobs in Philadelphia, PA

Burlington Stores

Software Engineer

Beverly, NJ · On-site

... machine learning outputs (predictions, scores, embeddings) within Power BI for business consumption. * Implement natural language query (NLQ) and conversational analytics experiences embedded within ...

Comprehensive Logistics

Materials Technician

Philadelphia, PA · On-site

$18.75 - $25.25/hr

... technology, machine learning, and process-driven execution to optimize workflows, eliminate inefficiencies, and ensure flawless delivery. More than a logistics provider, CLI is a true embedded ...

Pwc

US Tech - AI Engineering Manager

Philadelphia, PA

$73.50K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... and embedded automated quality gates across CI/CD pipelines Travel Requirements Up to 20% Job ...

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Embedded Machine Learning information

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$70.6K

$154.8K

$175.6K

How much do embedded machine learning jobs pay per year?

As of May 31, 2026, the average yearly pay for embedded machine learning in Philadelphia, PA is $154,777.00, according to ZipRecruiter salary data. Most workers in this role earn between $132,700.00 and $174,600.00 per year, depending on experience, location, and employer.

What is an Embedded Machine Learning job?

An Embedded Machine Learning job involves developing and optimizing machine learning models to run efficiently on resource-constrained devices like microcontrollers, edge devices, and IoT hardware. Professionals in this role work on model compression, low-power inference, and real-time processing, ensuring AI capabilities can function without relying on cloud computing. Responsibilities often include data preprocessing, feature extraction, model training, and deployment on embedded systems using frameworks like TensorFlow Lite or Edge Impulse.

What are the key skills and qualifications needed to thrive in the Embedded Machine Learning position, and why are they important?

To thrive in Embedded Machine Learning, you should have expertise in machine learning algorithms, embedded systems programming (e.g., C/C++, Python), and a solid understanding of hardware-software integration, typically backed by a degree in computer engineering, electrical engineering, or a related field. Familiarity with edge AI tools (such as TensorFlow Lite, ONNX, or Edge Impulse), microcontrollers, and real-time operating systems is highly valued, alongside relevant certifications such as Embedded Systems or AI certificates. Strong problem-solving skills, effective communication, and the ability to work cross-functionally are crucial soft skills in this field. These qualifications and qualities are vital for creating efficient, reliable AI solutions that operate seamlessly within resource-constrained environments and interdisciplinary project teams.

What are some common challenges faced by professionals working in embedded machine learning roles?

Professionals in embedded machine learning roles often face the challenge of optimizing machine learning models to run efficiently on resource-constrained hardware, such as microcontrollers or edge devices with limited memory and processing power. Balancing model accuracy, inference speed, and energy consumption can require creative problem-solving and deep knowledge of both hardware and software. Additionally, collaboration with hardware engineers, data scientists, and software developers is key, as projects typically require cross-functional teamwork to meet performance and deployment goals. Staying current with rapidly evolving tools and best practices is also important in this dynamic field.
More about Embedded Machine Learning jobs
What are popular job titles related to Embedded Machine Learning jobs in Philadelphia, PA? For Embedded Machine Learning jobs in Philadelphia, PA, the most frequently searched job titles are:
What job categories do people searching Embedded Machine Learning jobs in Philadelphia, PA look for? The top searched job categories for Embedded Machine Learning jobs in Philadelphia, PA are:
What cities near Philadelphia, PA are hiring for Embedded Machine Learning jobs? Cities near Philadelphia, PA with the most Embedded Machine Learning job openings:
Embedded Machine Learning jobs near you
Software Engineer

Software Engineer

Burlington Stores

Beverly, NJ • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago

Burlington rating

4.4

Company rating: 4.4 out of 10

Based on 906 frontline employees who took The Breakroom Quiz

19th of 21 rated department stores

Job description

Position Overview
The Software Engineer is a hands on, product focused engineer responsible for building and enhancing data driven and AI enabled products that support Burlington's retail and corporate business functions. This role works closely with product managers, analytics, design, and engineering teams to translate business requirements into reliable, scalable, and maintainable solutions. The Software Engineer contributes to the development of analytics solutions, supports the integration of AI and machine learning capabilities, and helps deliver insights that improve decision making across merchandising, supply chain, store operations, finance, and digital teams. This position is ideal for an engineer who is growing into product ownership, learning to balance technical execution with business impact, and contributing to shared standards and best practices while operating within Burlington's fast paced retail landscape.
A Day In The Life
  • Product Engineering: Product discovery, requirements translation, MVP development, backlog refinement, experimentation frameworks, user-centric design collaboration, metrics-driven iteration
  • AI & Machine Learning: LLM integration, prompt engineering, embeddings, model evaluation responsible AI practices.
  • Performance & Scalability: Query tuning, cost optimization, system scalability, reliability engineering
  • Collaboration & Leadership: Stakeholder communication, cross-functional delivery, agile/Scrum ceremonies, technical mentoring, documentation and knowledge sharing
  • Design and implement AI-enabled Power BI solutions, including integration of generative AI capabilities to enhance data exploration, insights discovery, and user experience.
  • Integrate LLM-powered features (e.g., narrative insights, summaries, explanations, and recommendations) into Power BI reports and dashboards using enterprise-approved AI services.
  • Develop and govern Power BI reports leveraging AI visuals, predictive analytics, anomaly detection, and advanced DAX measures.
  • Partner with data science and engineering teams to operationalize machine learning outputs (predictions, scores, embeddings) within Power BI for business consumption.
  • Implement natural language query (NLQ) and conversational analytics experiences embedded within Power BI dashboards and apps.
  • Ensure performance, scalability, and cost efficiency of AI-enabled Power BI solutions, including optimization of semantic models, DAX, and query patterns.
  • Apply Responsible AI and data governance principles within Power BI solutions, ensuring transparency, explainability, access controls, and compliance.
  • Standardize AI-enabled Power BI design patterns, reusable templates, and best practices across the analytics organization.
  • Enable and support self-service AI analytics in Power BI through documentation, enablement sessions, and guardrails.
  • Collaborate with product, analytics, and business teams to identify high-value AI use cases that can be delivered through Power BI.
  • Monitor and measure adoption and impact of AI-enabled Power BI features, using usage metrics and feedback to drive continuous improvement.

You'll Come With
  • 5+ years of experience in Business Intelligence, Analytics Engineering, or Data Engineering, with a strong focus on enterprise reporting and analytics platforms.
  • 2+ years of experience building and integrating AI capabilities into reporting tools, including use of AI visuals, natural language query (NLQ), predictive analytics, anomaly detection, and narrative insights.

CERTIFICATIONS ( Preferred) :
  • Microsoft Certified: Power BI Data Analyst Associate
  • Generative AI or LLM Certifications (e.g., Microsoft, AWS, Google, or industry-recognized providers)

#LI-CG1
Come join our team. You're going to like it here!
You will enjoy competitive wages, flexible hours, and an associate discount. Burlington's benefits package includes medical, dental and vision coverage including life and disability insurance. Full-time associates are also eligible for paid time off, paid holidays and a 401(k) plan. We are a rapidly growing brand and provide a variety of training and development opportunities so our associates can grow with us. Our teams work hard and have fun together! Burlington associates make a difference in the lives of customers, colleagues, and the communities where we live and work every day. Burlington Stores, Inc. is an equal opportunity employer committed to workplace diversity.
Individual pay decisions will be based on a variety of factors, such as but not limited to, qualifications, education, job-related skills, relevant experience, and geographic location.
Min-Mid $80,000.00 - $105,000.00
Posting Number R102600
Location New Jersey-Edgewater Park
Address 4287 Route 130 S
Zip Code 08010
Pay Rate Salaried
Career Site Category Corporate
Position Category Information Technology
Job Type Full-Time
Remote Type Hybrid
Evergreen No

What Burlington employees say

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About Burlington

Sourced by ZipRecruiter

At Burlington, we embrace the many facets of diversity that strengthen our communities where we live and work every day. If you want to grow your retail career with a caring and inclusive organization, come join the Burlington Stores team as a Customer Service Supervisor, Selling Floor Supervisor or Receiving Team Supervisor!

Industry

Retail

Company size

10,000+ Employees

Headquarters location

Burlington, NJ, US

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