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Remote Machine Learning Jobs in Philadelphia, PA

Principal Product Manager

Exton, PA ยท On-site +1

$160K - $175K/yr

... machine learning-driven products. You think in systems and outcomes. You thrive in ambiguity and ... This role is available for remote work only in the following U.S. states: Arizona, Delaware ...

Associate Consultant (Remote)

Wayne, PA ยท On-site +1

$67K - $169K/yr

Our team offerings leverage advanced analytics, machine learning algorithms, and technology platforms for a variety of healthcare applications including finding undiagnosed patients with rare ...

Data Scientist

Camden, NJ ยท On-site +1

$109K - $157K/yr

You will leverage machine learning and advanced analytics to improve forecast accuracy, optimize ... Hybrid work model based in Camden, NJ (Monday & Friday remote; Tuesday-Thursday in-office) * 10-15 ...

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 ...

Data Scientist

Camden, NJ ยท On-site +1

$109K - $157K/yr

You will leverage machine learning and advanced analytics to improve forecast accuracy, optimize ... Hybrid work model based in Camden, NJ (Monday & Friday remote; Tuesday-Thursday in-office) * 10-15 ...

A.I. Manager

PA ยท 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 ...

Data Scientist

Camden, NJ ยท On-site +1

$109K - $157K/yr

You will leverage machine learning and advanced analytics to improve forecast accuracy, optimize ... Friday remote; Tuesday Thursday in-office)10 15% travel for company and customer ...

Posting Type Remote/Hybrid Job Overview WHO WE ARE Relativity is a leading legal data intelligence ... Select the appropriate modeling approach for each problem, ranging from classical machine learning ...

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Remote Machine Learning information

See Philadelphia, PA salary details

$25.7K

$43K

$88.8K

How much do remote machine learning jobs pay per year?

As of Jun 10, 2026, the average yearly pay for remote machine learning in Philadelphia, PA is $42,971.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,800.00 and $46,400.00 per year, depending on experience, location, and employer.

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

To thrive as a Remote Machine Learning Engineer, you need a strong background in mathematics, statistics, programming (often Python), and experience with machine learning frameworks, typically supported by a relevant degree. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (like AWS or GCP), and version control systems is crucial. Strong problem-solving abilities, self-management, and effective virtual communication distinguish top performers in remote settings. These competencies ensure the engineer can build effective models, collaborate across distributed teams, and deliver impactful solutions independently.

What Are Remote Machine Learning Jobs?

Machine learning is a method of analyzing data via automating analytical model building. The premise is that systems can learn from data. Machine learning positions include machine learning engineer, computer vision engineer, and senior deep learning engineer. In a remote machine learning job, you work from home in a branch of artificial intelligence performing duties related to computational processing and data. Your goal is to design models that solve business problems, such as helping organizations avoid unknown risks or find profitable opportunities. Your responsibilities include maintaining data pipelines, performing model research and implementation, building machine learning systems, and onboarding new utilities.

What is a remote machine learning job?

A remote machine learning job involves working with algorithms, data, and models to develop predictive systems or automate tasks, all while working from a location outside of a traditional office setting. Professionals in this role use techniques from statistics and computer science to analyze data, train machine learning models, and deploy solutions for real-world applications. Remote machine learning jobs can span various industries, including technology, healthcare, finance, and e-commerce. These roles typically require strong programming skills, knowledge of machine learning frameworks, and the ability to communicate findings effectively with team members or stakeholders. Working remotely offers flexibility, but also requires discipline and self-motivation to succeed.

What are some effective strategies for collaborating with team members while working remotely as a Machine Learning Engineer?

Collaboration in a remote Machine Learning role often relies on clear communication through digital tools such as Slack, Zoom, and project management platforms like Jira or Asana. Regular check-ins and stand-up meetings help keep everyone aligned on project goals and timelines. Sharing code and models via version control systems (like Git) and using collaborative notebooks (such as JupyterHub or Google Colab) are also common practices. Building strong documentation habits and proactively seeking feedback can help ensure smooth teamwork and project success, even across different time zones.

What is the difference between Remote Machine Learning vs Data Scientist?

AspectRemote Machine LearningData Scientist
Required CredentialsBachelor's/Master's in CS, ML certificationsBachelor's/Master's in CS, Statistics, or related field
Work EnvironmentRemote, collaborative teams, tech companiesRemote or on-site, diverse industries, analytics focus
Industry UsageTech, AI startups, researchFinance, healthcare, e-commerce, tech
Search & Comparison IntentOften compared for technical roles in AI/MLBroader data analysis roles, but overlapping skills

Remote Machine Learning specialists focus on developing algorithms and models primarily in tech environments, often requiring advanced programming and ML knowledge. Data Scientists analyze data to extract insights, sometimes utilizing ML techniques. While both roles share skills and credentials, Remote Machine Learning emphasizes model development, whereas Data Scientists focus on data analysis and interpretation.

Is ML full of coding?

Machine Learning (ML) roles often involve significant coding, especially in programming languages like Python or R, to develop algorithms and models. However, some positions focus more on data analysis, feature engineering, or model evaluation, which may require less coding but still involve technical skills and understanding of ML concepts.
What are the most commonly searched types of Machine Learning jobs in Philadelphia, PA? The most popular types of Machine Learning jobs in Philadelphia, PA are:
What job categories do people searching Remote Machine Learning jobs in Philadelphia, PA look for? The top searched job categories for Remote Machine Learning jobs in Philadelphia, PA are:
What cities near Philadelphia, PA are hiring for Remote Machine Learning jobs? Cities near Philadelphia, PA with the most Remote Machine Learning job openings:

Principal Product Manager

PKR

Exton, PA โ€ข On-site, Remote

$160K - $175K/yr

Full-time

Posted 9 days ago


Job description

Who Our Client Is

Our client is a mission-driven organization that helps companies build stronger workplaces and unlock the power of their people. They operate with purpose, value collaboration, and use business as a force for good.


What Our Client Needs

Our client is seeking a Principal Product Manager, Data Management and AI to own the strategy, discovery, and delivery of their most data-intensive and intelligence-driven products. This senior individual contributor will shape AI-powered experiences, influence platform direction, and drive measurable customer and business impact.


Who You Are

You are a strategic product leader with deep experience in analytics and machine learningโ€“driven products. You think in systems and outcomes. You thrive in ambiguity and influence across teams without formal authority. You communicate complex technical concepts clearly and hold a high bar for product quality, usability, and impact.


What Youโ€™ll Do

โ€ข Own and evolve the long-term vision for data management and AI capabilities aligned to the unified intelligence platform

โ€ข Identify new product opportunities that leverage data, analytics, and AI to drive measurable outcomes

โ€ข Lead end-to-end discovery for complex and zero-to-one initiatives

โ€ข Partner with Data Science, UX, and Engineering to design experiments, prototypes, and validation plans

โ€ข Define and deliver customer-facing AI-powered predictive experiences

โ€ข Translate machine learning model behavior into clear, actionable user experiences

โ€ข Ensure AI capabilities are explainable, trustworthy, and aligned with data governance and privacy standards

โ€ข Lead large cross-team initiatives from concept through post-launch optimization

โ€ข Define success metrics and track adoption, usage, and business impact

โ€ข Mentor Product Managers and champion best practices in hypothesis-driven discovery and execution

โ€ข Influence stakeholders across Product, Engineering, UX, Data Science, Sales, and Customer Success


What Youโ€™ll Need

โ€ข 8+ years of product management experience owning complex, high-impact products

โ€ข Deep experience building analytics-heavy products, insights platforms, or data systems

โ€ข Hands-on experience working with machine learning models in production environments

โ€ข Proven partnership with Data Science on model development, evaluation, and iteration

โ€ข Experience delivering customer-facing tools and enabling platform capabilities

โ€ข SaaS experience required

โ€ข HR or people data experience preferred

โ€ข Strong discovery and delivery skills at scale

โ€ข Comfort operating in technically complex and ambiguous environments


What They Offer

โ€ข Compensation range is $160k - $175k, bonus eligible.

โ€ข Competitive compensation structure with strong earning potential

โ€ข Comprehensive benefits package

โ€ข Mission-driven culture focused on helping organizations unlock the power of their people

โ€ข Remote-first flexibility

โ€ข Opportunities for professional growth and advancement


Please Note: This role is available for remote work only in the following U.S. states: Arizona, Delaware, Florida, Georgia, Indiana, Maryland, Michigan, North Carolina, Nebraska, New Jersey, New York State excluding NYC and Long Island, Pennsylvania, South Carolina, Tennessee, Texas, and Wisconsin. If you reside outside of these locations, you will not be considered for this role.


Equal Opportunity Statement

Our client believes that diversity fuels innovation, strengthens teams, and drives success. They are committed to fostering a workplace where every individualโ€”regardless of backgroundโ€”feels valued, respected, and empowered to thrive. Discrimination or harassment of any kind is strictly prohibited.


Our client does not discriminate based on race, color, religion, sex, sexual orientation, gender identity or expression, national origin, ethnicity, age, disability, veteran status, marital status, or any other characteristic protected by applicable laws. Their commitment extends beyond compliance; they actively cultivate an inclusive culture where diverse perspectives are welcomed, and every employee has an equal opportunity to contribute and succeed.