ZipRecruiter

Log In

1

Machine Learning Researcher Jobs in Philadelphia, PA

previous page

Showing results 41-60

All JobsMachine Learning Researcher JobsMachine Learning Researcher Jobs in Philadelphia, PA

Machine Learning Researcher information

See Philadelphia, PA salary details

$30.3K

$114.1K

$166K

How much do machine learning researcher jobs pay per year?

As of Aug 9, 2026, the average yearly pay for 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 some common challenges machine learning researchers face when transitioning from academic research to industry roles?

Machine Learning Researchers often find that transitioning to industry involves adapting to faster project timelines, collaborative workflows, and a focus on scalable, real-world solutions rather than theoretical advances alone. In industry, you'll likely work closely with cross-functional teams, such as software engineers and product managers, to ensure models are both practical and maintainable. Balancing innovation with business objectives, handling production constraints, and communicating complex findings to non-technical stakeholders are some of the key challenges you may encounter.

What are the key skills and qualifications needed to thrive as a machine learning researcher?

To thrive as a Machine Learning Researcher, you need deep expertise in mathematics, statistics, programming (typically Python), and a strong academic background in computer science or related fields. Familiarity with frameworks like TensorFlow or PyTorch and experience with tools for data analysis and model development are standard, often supported by advanced degrees or relevant certifications. Critical thinking, creativity, and effective communication are vital soft skills for developing novel solutions and collaborating across interdisciplinary teams. These skills enable researchers to design innovative algorithms, validate models rigorously, and contribute impactful advancements in the field.

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

AspectMachine Learning ResearcherData Scientist
Required CredentialsAdvanced degrees in CS, ML, or related fields; research experienceDegree in CS, statistics, or related; strong analytical skills
Work EnvironmentResearch labs, academia, R&D departmentsBusiness environments, tech companies, consulting
Employer & Industry UsageUniversities, research institutions, tech firmsCorporations, startups, finance, healthcare
Common Search & ComparisonFocus on theoretical ML advancementsFocus on data analysis & business insights

While both roles involve working with data and algorithms, Machine Learning Researchers primarily focus on developing new algorithms and advancing ML theory, often in research or academic settings. Data Scientists apply these techniques to analyze data, generate insights, and support business decisions in industry environments.

What does a machine learning researcher do?

A Machine Learning Researcher designs, develops, and tests algorithms and models that allow computers to learn from and make decisions based on data. They often work on advancing the field by exploring new methods, improving existing algorithms, and publishing their findings. These researchers collaborate with engineers and data scientists to apply their research to practical problems in areas like computer vision, natural language processing, and robotics. Their work typically involves a combination of mathematics, statistics, programming, and experimentation.
What are the most commonly searched types of Machine Learning Researcher jobs in Philadelphia, PA? The most popular types of Machine Learning Researcher jobs in Philadelphia, PA are:
What are popular job titles related to Machine Learning Researcher jobs in Philadelphia, PA? For Machine Learning Researcher jobs in Philadelphia, PA, the most frequently searched job titles are:
What job categories do people searching Machine Learning Researcher jobs in Philadelphia, PA look for? The top searched job categories for Machine Learning Researcher jobs in Philadelphia, PA are:
What cities near Philadelphia, PA are hiring for Machine Learning Researcher jobs? Cities near Philadelphia, PA with the most Machine Learning Researcher job openings:
Machine Learning Researcher jobs near you
Infographic showing various Machine Learning Researcher job openings in Philadelphia, PA as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 23% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $114,130 per year, or $54.9 per hour.

Faculty Fellow - Susquehanna International Group

Susquehanna International Group

Bala Cynwyd, PA • On-site

$46K - $62K/yr

Full-time

Posted 16 days ago

Job description

Overview
Susquehanna is launching a 12-18 month fully funded faculty fellowship. This is a unique opportunity to pursue advanced machine learning research in a fast-paced, real-world environment - collaborating with teams at the frontier of quantitative trading.
At Susquehanna, our research leverages vast and diverse datasets, applying cutting-edge machine learning at scale to uncover actionable insights - driving data-informed decisions from predictive modeling to strategic execution.
What you'll do

  • Conduct applied machine learning research using large-scale, real-world financial datasets
  • Develop novel modeling techniques and adapt state-of-the-art algorithms to unique challenges in quantitative finance
  • Collaborate with researchers and engineers to translate theoretical insights into production-scale systems
  • Contribute to the design of robust, high-performance ML infrastructure
  • Explore research directions aligned with your interests, with flexibility in scope and duration
  • Evaluate ideas in an industrial setting, generating insights that may inform future academic or applied work
  • Help grow our research community by fostering collaboration and leveraging your network within the ML and academic ecosystems

What we're looking for
  • Exceptional faculty (tenured or tenure-track) with expertise in machine learning, deep learning, LLM, statistics, computer science, physics, applied mathematics, or related fields
  • Exceptional newly minted PhDs or postdocs developing a research agenda in machine learning, deep learning, LLM, statistics, computer science, physics, applied mathematics, or related fields
  • A strong theoretical foundation in ML and a passion for solving practical, open-ended problems
  • Strong programming skills (Python preferred); experience with ML frameworks like PyTorch, TensorFlow or Jax
  • Intellectual curiosity, adaptability, and a collaborative mindset

Note: This fellowship is ideal for faculty seeking to broaden their applied research portfolio, explore new domains, or engage in sabbatical collaborations. The faculty fellowship is also appropriate for exceptional newly minted PhD and postdocs who want to develop a research agenda (involving, but not limited to, modeling, inference, and prediction tasks in complex systems), as they prepare to transition into a faculty position. While research outputs cannot be published due to the proprietary nature of our work, we aim for each faculty fellow to publish technical research papers collaboratively with their research hosts, to showcase some of the machine learning and AI innovations that they developed while in residence at Susquehanna.
About Susquehanna
Susquehanna is a global quantitative trading firm powered by scientific rigor, curiosity, and innovation. Our culture is intellectually driven and highly collaborative, bringing together researchers, engineers, and traders to design and deploy impactful strategies in our systematic trading environment. To meet the unique challenges of global markets, Susquehanna applies machine learning and advanced quantitative research to vast datasets in order to uncover actionable insights and build effective strategies. By uniting deep market expertise with cutting-edge technology, we excel in solving complex problems and pushing boundaries together.
If you're a recruiting agency and want to partner with us, please reach out to recruiting@sig.com. Any resume or referral submitted in the absence of a signed agreement will not be eligible for an agency fee.
#LI-MP1
#LI-Onsite

Apply