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Remote Machine Learning Postdoc Jobs in Philadelphia, PA

Principal Product Manager

Exton, PA · 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 · 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 · 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 · 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 · 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 · 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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Showing results 1-20

Remote Machine Learning Postdoc information

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

A Remote Machine Learning Postdoc requires a PhD in computer science, statistics, or a related field, with expertise in machine learning algorithms, statistical modeling, and research methodologies. Proficiency in programming languages like Python or R, experience with machine learning frameworks such as TensorFlow or PyTorch, and familiarity with version control systems (e.g., Git) are typically necessary. Strong written and verbal communication, self-motivation, and collaboration skills are vital for remote research and effective teamwork. These capabilities enable impactful independent research, smooth collaboration across distributed teams, and the successful dissemination of findings to the wider scientific community.

What is a Remote Machine Learning Postdoc?

A Remote Machine Learning Postdoc is a postdoctoral researcher specializing in machine learning who works predominantly or entirely from a location outside their host institution, often from home. Their work involves conducting advanced research, developing new algorithms, analyzing data, and publishing findings related to machine learning while collaborating virtually with faculty and research teams. This role is ideal for researchers seeking flexibility or those who cannot relocate but wish to contribute to academic or industrial research from a distance.

What are some common challenges faced by remote machine learning postdocs when collaborating with research teams?

Remote machine learning postdocs often encounter challenges related to communication and coordination, especially when working across different time zones or with teams that have varying schedules. Effective collaboration usually requires proactive communication through virtual meetings, shared code repositories, and regular progress updates. Building rapport with colleagues and staying engaged with ongoing research discussions can take extra effort remotely, but leveraging collaborative tools and participating in virtual seminars or group chats can help bridge the gap. Being organized and self-motivated is key to ensuring productive contributions to the team’s research objectives.
What are popular job titles related to Remote Machine Learning Postdoc jobs in Philadelphia, PA? For Remote Machine Learning Postdoc jobs in Philadelphia, PA, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning Postdoc jobs in Philadelphia, PA look for? The top searched job categories for Remote Machine Learning Postdoc jobs in Philadelphia, PA are:
What cities near Philadelphia, PA are hiring for Remote Machine Learning Postdoc jobs? Cities near Philadelphia, PA with the most Remote Machine Learning Postdoc job openings:

Principal Product Manager

PKR

Exton, PA • On-site, Remote

$160K - $175K/yr

Full-time

Posted 8 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 learning–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 You’ll Do

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

• Identify new product opportunities that leverage data, analytics, and AI to drive measurable outcomes

• Lead end-to-end discovery for complex and zero-to-one initiatives

• Partner with Data Science, UX, and Engineering to design experiments, prototypes, and validation plans

• Define and deliver customer-facing AI-powered predictive experiences

• Translate machine learning model behavior into clear, actionable user experiences

• Ensure AI capabilities are explainable, trustworthy, and aligned with data governance and privacy standards

• Lead large cross-team initiatives from concept through post-launch optimization

• Define success metrics and track adoption, usage, and business impact

• Mentor Product Managers and champion best practices in hypothesis-driven discovery and execution

• Influence stakeholders across Product, Engineering, UX, Data Science, Sales, and Customer Success


What You’ll Need

• 8+ years of product management experience owning complex, high-impact products

• Deep experience building analytics-heavy products, insights platforms, or data systems

• Hands-on experience working with machine learning models in production environments

• Proven partnership with Data Science on model development, evaluation, and iteration

• Experience delivering customer-facing tools and enabling platform capabilities

• SaaS experience required

• HR or people data experience preferred

• Strong discovery and delivery skills at scale

• Comfort operating in technically complex and ambiguous environments


What They Offer

• Compensation range is $160k - $175k, bonus eligible.

• Competitive compensation structure with strong earning potential

• Comprehensive benefits package

• Mission-driven culture focused on helping organizations unlock the power of their people

• Remote-first flexibility

• 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 individual—regardless of background—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.