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Remote Machine Learning Researcher Jobs in Philadelphia, PA

A.I. Manager

PA · On-site +1

Build and lead a remote AI team, including recruiting, mentoring, and performance management ... Guide model development, including machine learning, deep learning, NLP, and generative AI ...

Showing results 41-60

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 Aug 8, 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 is a remote machine learning researcher?

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?

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:

AI & Automation Enablement Lead

Willis Towers Watson (WTW)

Mount Laurel, NJ • Remote

Full-time

Re-posted 15 days ago


Willis Towers Watson rating

8.3

Company rating: 8.3 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

38th of 150 rated financial services


Job description

The Role

Strategic Partnership & Collaboration

  • Act as the primary liaison between GCO, the WE DO Corp IT Platforms team, and the Automation and AI COEs, fostering a collaborative and transparent working relationship.
  • Partner with crossfunctional stakeholders to understand business needs and build technology solutions that support operational goals.

Technology Strategy & Roadmap Development

  • Maintain currentstate assessments of GCO tools, systems, and processes, documenting strengths, gaps, and opportunities.
  • Establish and maintain a comprehensive technology and automation roadmap that aligns with organizational priorities and futurestate vision.

Process Optimization & Automation

  • Identify opportunities to streamline workflows, reduce manual effort, and improve operational efficiency through automation and process redesign.
  • Recommend and shape automation solutions that deliver measurable impact on efficiency and cost reduction.

Technology Implementation

  • Partner closely with IT teams to design, evaluate, and implement technology solutions-including RPA, AI, machine learning, and other emerging capabilities.
  • Support project planning, requirements gathering, development, testing, and deployment to ensure successful implementation of new tools and features.

Vendor Partnership

  • Collaborate with Vendor Management to evaluate external technology partners and provide feedback on vendor performance, capabilities, and future enhancements.

Change Adoption

  • Promote continuous learning and encourage team proficiency in emerging technologies, automation and AI.

Work Environment

  • Operate effectively in a fully remote role, demonstrating accountability, communication, and selfmanagement.
  • Contribute to a collaborative and highperforming team culture.
  • This role will require working US hours.

The Requirements 

Core Competencies

  • Strong communication and relationshipbuilding skills, with the ability to collaborate across IT, business operations, and vendor teams.
  • Strategic mindset with the ability to translate business needs into practical technology solutions.
  • Demonstrated capability in process analysis, workflow optimization, and the application of automation tools.
  • Proven ability to lead crossfunctional initiatives and influence without formal authority.

Technical Skills

  • Experience with automation platforms, RPA tools, and emerging technologies such as AI and machine learning.
  • Ability to evaluate technology capabilities and document requirements for both business and technical audiences.

Additional Preferred Skills

  • Background in technology planning, operational workflow design, or digital transformation.
  • Experience assessing vendor tools and collaborating with thirdparty providers.
  • Strong facilitation and training skills to support user adoption.

WTW is an Equal Opportunity Employer 

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What Willis Towers Watson employees say

Pay

Benefits

Hours and flexibility

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