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Remote Machine Learning Researcher Jobs in Philadelphia, PA

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... intelligence, and machine learning. You'll join a multidisciplinary team of UX Designers ... and UX Researchers. We are looking for a motivated UX Strategist who can facilitate and move ...

Data Scientist III

Philadelphia, PA ยท On-site +1

$110K - $115K/yr

... NLP, machine learning, deep learning, and statistical methods. Compare and recommend the use of ... Conduct research on concept indexing, relationship extraction, and data extraction from clinical ...

Data Scientist III

Philadelphia, PA ยท On-site +1

$110K - $115K/yr

... NLP, machine learning, deep learning, and statistical methods. Compare and recommend the use of ... Conduct research on concept indexing, relationship extraction, and data extraction from clinical ...

Emphasizes theoretical foundations and connects advanced statistics to biostatistics, econometrics, and machine learning research applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Emphasizes theoretical foundations and connects advanced statistics to biostatistics, econometrics, and machine learning research applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

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Remote Machine Learning Researcher information

See Philadelphia, PA salary details

$30.3K

$114.1K

$166K

How much do remote machine learning researcher jobs pay per year?

As of Jun 26, 2026, the average yearly pay for remote machine learning researcher in Philadelphia, PA is $114,130.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,600.00 and $155,400.00 per year, depending on experience, location, and employer.

What are Remote Machine Learning Researchers?

Remote Machine Learning Researchers are professionals who study, design, and develop machine learning algorithms and models while working outside of a traditional office environment. They typically analyze data, conduct experiments, and collaborate with teams or organizations virtually to advance artificial intelligence technologies. Their work may involve tasks such as building predictive models, publishing research papers, or contributing to open-source machine learning projects. Being remote allows them flexibility in location and often the ability to work with international teams. Strong programming, mathematical, and communication skills are essential in this role.

What are the key skills and qualifications needed to thrive as a Remote Machine Learning Researcher, and why are they important?

To thrive as a Remote Machine Learning Researcher, you need a strong background in mathematics, statistics, programming (Python, R), and a relevant advanced degree such as a Master's or Ph.D. in computer science or a related field. Familiarity with machine learning frameworks (TensorFlow, PyTorch), cloud computing platforms, and version control systems (Git) is typically required, along with published research or contributions to academic conferences. Outstanding problem-solving ability, self-motivation, and excellent written communication are crucial soft skills for remote collaboration and knowledge sharing. These skills are essential for developing innovative models, contributing to cutting-edge research, and effectively collaborating in a distributed team environment.

What are the common challenges faced by remote machine learning researchers when collaborating with global teams?

Remote machine learning researchers often collaborate with team members across different time zones and cultural backgrounds, which can make synchronous meetings and real-time problem-solving challenging. Communication of complex ideas, such as model architectures or experimental results, may require extra effort through detailed documentation and regular virtual check-ins. However, most organizations use collaborative tools like version control systems, project management platforms, and video conferencing to bridge these gaps, ensuring that research progress stays on track and team members remain aligned.
What are popular job titles related to Remote Machine Learning Researcher jobs in Philadelphia, PA? For Remote Machine Learning Researcher jobs in Philadelphia, PA, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning Researcher jobs in Philadelphia, PA look for? The top searched job categories for Remote Machine Learning Researcher jobs in Philadelphia, PA are:
Principal Machine Learning Engineer

Principal Machine Learning Engineer

Comcast

Philadelphia, PA โ€ข On-site, Remote

Full-time

Posted 14 days ago


Job description

Make your mark at Comcast -- a Fortune 30 global media and technology company. From the connectivity and platforms we provide, to the content and experiences we create, we reach hundreds of millions of customers, viewers, and guests worldwide. Become part of our award-winning technology team that turns big ideas into cutting-edge products, platforms, and solutions that our customers love. We create space to innovate, and we recognize, reward, and invest in your ideas, while ensuring you can proudly bring your authentic self to the workplace. Join us. You'll do the best work of your career right here at Comcast. (In most cases, Comcast prefers to have employees on-site collaborating unless the team has been designated as virtual due to the nature of their work. If a position is listed with both office locations and virtual offerings, Comcast may be willing to consider candidates who live greater than 100 miles from the office for the remote option.)

Job Summary

Comcast's AI Search and Recommendation team is building the next generation of intelligent, personalized experiences across Comcast, Sky, and NBCUniversal. We're looking for a Principal Machine Learning Engineer to lead the design and evolution of large-scale AI platforms powering search, ranking, and recommendations used by millions of customers.
This is a high-impact, hands-on leadership role where you'll shape technical strategy, build production-grade ML systems, and drive innovation in areas like personalization, generative AI, and real-time decisioning.
You'll work at the intersection of applied research and engineering, turning cutting-edge ideas into scalable products that directly influence customer experience and business outcomes.

Job Description

Responsibilities/what you'll do:

Lead AI Platform Strategy and Innovation

  • Own the architecture, roadmap, and evolution of core ML platforms supporting search, ranking, and recommendation systems
  • Define technical direction and deliver scalable solutions that enable personalization and relevance at massive scale


Drive High-Impact Programs

  • Lead complex, revenue-driving initiatives where machine learning is a key differentiator
  • Partner closely with Product, Engineering, and Data teams to align ML capabilities with business goals

Build Next-Generation AI Capabilities

  • Advance modern AI approaches including:
    • Recommender systems and learning-to-rank models
    • Generative AI, LLM fine-tuning, and prompt engineering
    • Agentic AI systems integrating models with tools and workflows
  • Stay on the leading edge of AI and rapidly translate innovation into production systems


Architect and Scale ML Systems

  • Design and deploy distributed ML systems and real-time inference pipelines
  • Build end-to-end machine learning solutions-from data pipelines to model deployment, monitoring, and optimization


Stay Hands-On

  • Write and review production-quality code across core platforms and experimental projects
  • Lead technical design discussions and drive engineering excellence across teams;


Influence Across the Organization

  • Mentor engineers and act as a technical leader across multiple teams
  • Establish best practices, reusable frameworks, and standards to scale innovation


Qualifications:

  • 10+ years of experience in machine learning, AI, or software engineering
  • Proven track record building and scaling production ML systems
  • Strong Python programming skills with a focus on performance and reliability
  • Experience translating advanced models or research into real-world products
  • Background in search, ranking, recommendations, or personalization systems
  • Familiarity with LLMs, generative AI, or agent-based systems

Employees at all levels are expected to:

  • Understand our Operating Principles; make them the guidelines for how you do your job.
  • Own the customer experience think and act in ways that put our customers first, give them seamless digital options at every touchpoint, and make them promoters of our products and services.
  • Know your stuff be enthusiastic learners, users and advocates of our game-changing technology, products and services, especially our digital tools and experiences.
  • Win as a team make big things happen by working together and being open to new ideas.
  • Be an active part of the Net Promoter System a way of working that brings more employee and customer feedback into the company by joining huddles, making call backs and helping us elevate opportunities to do better for our customers.
  • Drive results and growth.
  • Support a culture of inclusion in how you work and lead.
  • Do what's right for each other, our customers, investors and our communities.


Disclaimer: This information has been designed to indicate the general nature and level of work performed by employees in this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications.

Skills

Business Acumen, Communication, Design, Learning Agility, Machine Learning (ML), Technical Leadership

We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That's why we provide an array of options, expert guidance and always-on tools that are personalized to meet the needs of your reality-to help support you physically, financially and emotionally through the big milestones and in your everyday life.


Please visit the benefits summary on our careers site for more details.

Education

Bachelor's Degree: Computer and Information ScienceWhile possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience.

Certifications (if applicable)

Relevant Work Experience

10 Years +Comcast is an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law.