ZipRecruiter

Log In

1

Tensorflow Pytorch Jobs in Philadelphia, PA (NOW HIRING)

Vanguard Group

Senior AI Scientist

Malvern, PA · On-site

Proficiency in Python programming and experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Proficiency in cloud platform (such as AWS) and associated AI services and ...

GATE 1 LTD

A.I. Manager

PA · On-site +1

Proficiency in Python and common ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn). * Strong understanding of cloud platforms (e.g., AWS, Azure, GCP) and MLOps tools. * Experience working in ...

GATE 1 LTD

A.I. Manager

Fort Washington, PA · On-site +1

Proficiency in Python and common ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn). * Strong understanding of cloud platforms (e.g., AWS, Azure, GCP) and MLOps tools. * Experience working in ...

HCL Global Systems Inc

AI/ML Engineer

Malvern, PA · On-site

... as TensorFlow, PyTorch, and Scikit-learn. • Strong understanding and experience in AWS Machine Learning Stack including: AWS SageMaker, AWS Glue, AWS Bedrock, AWS Data Pipelines, AWS Lambda ...

Athenago

Data Science Intern

Wilmington, DE

TensorFlow, PyTorch, scikit-learn) and experience training or fine-tuning models. * Prior exposure to recommendation algorithms or matching systems through coursework or projects. * Familiarity with ...

ClifyX

GenAI Engineer

Wilmington, DE · On-site

TensorFlow, PyTorch • GenAI Tools: LangChain, LlamaIndex • Vector DB: Pinecone, FAISS • Cloud Technologies: AWS / Azure / GCP • Data Pipelines: ETL/ELT, Real-time & Batch Processing • ...

Gnostech

Software Engineer (US-Remote)

Marlton, NJ · On-site +1

Experience with AI/ML technologies, including machine learning frameworks (TensorFlow, PyTorch) or modern AI integration tools. * Experience integrating AI services, LLM APIs, or intelligent ...

Aumni

Applied AI/ML - Vice President

Wilmington, DE · On-site

$120 - $160/hr

Extensive hands‑on technical experience with machine learning frameworks, libraries, and APIs, such as TensorFlow, PyTorch, Scikit‑learn, AWS Bedrock, Transformers, LangChain/LngGraph.

Burro

Senior Robotics AI Engineer

Philadelphia, PA · On-site

$160K - $180K/yr

Experience using ML frameworks like TensorFlow, PyTorch, or similar * Proven experience building, deploying and maintaining ML models in production, ideally on edge systems. * Hands-on experience ...

Burro

Senior Robotics AI Engineer

Philadelphia, PA · On-site

$160K - $180K/yr

Experience using ML frameworks like TensorFlow, PyTorch, or similar * Proven experience building, deploying and maintaining ML models in production, ideally on edge systems. * Hands-on experience ...

previous pagenext page

Showing results 21-40

All JobsTensorflow Pytorch JobsTensorflow Pytorch Jobs in Philadelphia, PA

Tensorflow Pytorch information

See Philadelphia, PA salary details

$37.8K

$123.9K

$198.3K

How much do tensorflow pytorch jobs pay per year?

As of Aug 18, 2026, the average yearly pay for tensorflow pytorch in Philadelphia, PA is $123,854.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,400.00 and $137,200.00 per year, depending on experience, location, and employer.

What are TensorFlow and PyTorch?

TensorFlow and PyTorch are two of the most popular open-source deep learning frameworks used by researchers and developers to build, train, and deploy machine learning models. TensorFlow, developed by Google, offers robust support for production environments and has a large ecosystem. PyTorch, developed by Facebook, is known for its flexibility, ease of use, and dynamic computational graph, making it popular in academia and research. Both frameworks support a wide range of neural network architectures and are used extensively for tasks such as computer vision, natural language processing, and reinforcement learning.

What are the key skills and qualifications needed to thrive as a deep learning engineer specializing in TensorFlow and PyTorch?

To thrive as a Deep Learning Engineer with a focus on TensorFlow and PyTorch, you need a strong background in computer science, mathematics, and machine learning, typically supported by a relevant degree. Proficiency in programming languages like Python, experience with TensorFlow and PyTorch frameworks, and familiarity with cloud platforms or GPU computing are essential. Analytical thinking, problem-solving, and effective communication are standout soft skills for collaborating with teams and interpreting model results. These skills are crucial for developing, deploying, and optimizing AI models that drive innovation and solve complex real-world problems.

How do TensorFlow/PyTorch engineers typically collaborate with data scientists and other team members in a production environment?

TensorFlow and PyTorch engineers often work closely with data scientists to transform experimental machine learning models into efficient, scalable production solutions. Collaboration involves frequent code reviews, shared development environments, and regular meetings to align model requirements with deployment constraints. Engineers also coordinate with DevOps teams to ensure smooth integration and monitoring of models in production. Strong communication skills and a willingness to iterate on solutions are essential for bridging the gap between research and real-world application.

What is the difference between Tensorflow Pytorch vs Data Scientist?

AspectTensorflow PytorchData Scientist
Required SkillsDeep learning frameworks, Python, machine learningData analysis, statistical skills, Python/R, machine learning
Work EnvironmentAI/ML development, research, software engineeringData analysis, reporting, business insights
Industry UsageAI/ML projects, research labs, tech companiesBusiness, finance, healthcare, tech

Tensorflow and Pytorch are deep learning frameworks used primarily by AI/ML developers, while Data Scientists utilize these tools for data analysis and modeling. Although their skill sets overlap, Tensorflow Pytorch focus on model development, whereas Data Scientists apply these models to derive insights and inform decisions.

What are popular job titles related to Tensorflow Pytorch jobs in Philadelphia, PA?

For Tensorflow Pytorch jobs in Philadelphia, PA, the most frequently searched job titles are:

What job categories do people searching Tensorflow Pytorch jobs in Philadelphia, PA look for?

The top searched job categories for Tensorflow Pytorch jobs in Philadelphia, PA are:

What cities near Philadelphia, PA are hiring for Tensorflow Pytorch jobs?

Cities near Philadelphia, PA with the most Tensorflow Pytorch job openings:

Tensorflow Pytorch jobs near you
Infographic showing various Tensorflow Pytorch job openings in Philadelphia, PA as of August 2026, with employment types broken down into 87% Full Time, 2% Part Time, and 11% Contract. Highlights an 82% In-person, and 18% Remote job distribution, with an average salary of $123,854 per year, or $59.5 per hour.

Senior AI Scientist

Vanguard Group

Malvern, PA • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Vanguard rating

8.7

Company rating: 8.7 out of 10

Based on 64 frontline employees who took The Breakroom Quiz

16th of 150 rated financial services

Job description

Responsibilities:
  • Owns the end-to-end design, development, and execution of complex predictive modeling initiatives, from problem formulation through validation, deployment readiness, and ongoing risk assessment.
  • Leads and executes deep dive diagnostic, predictive, and prescriptive analytics to support data-driven business decision making. Creates alternative model approaches to assess complex model design and advance future capabilities. Mentors and develops junior data scientists and analysts.
  • Establishes and enforces data quality standards for modeling use, including diagnosing data issues, documenting assumptions and limitations, and filling data gaps in ways that balance rigor, practicality, and risk.
  • Partners with senior leadership to understand and probe business processes in order to develop hypotheses. Brings structure to requests and translates requirements into an analytic approach.
  • Guides research design, model evaluation, validation, and monitoring strategies, providing expert judgment on model performance, stability, and appropriate use. Serves as a trusted technical voice on cross-functional initiatives involving advanced analytics or machine learning.
  • Builds reusable tools, frameworks, and shared resources that improve modeling efficiency, consistency, and scalability across the predictive and analytics community.
  • Prepares and delivers clear, insightful presentations with recommended actions. Communicates complex analytical findings and implications to business leaders.
  • Participates in special projects and performs other duties as assigned.

Qualifications:
  • Minimum of five years of related work experience in data science or analytical roles. Strong experience utilizing statistical and machine learning methods required. Experience with large language models, knowledge graph and generative AI required.
  • Proficiency in Python programming and experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Proficiency in cloud platform (such as AWS) and associated AI services and tools.
  • Strong stakeholder Management and excellent communication skills.

Special Factors
Sponsorship
Vanguard is not offering visa sponsorship for this position.
About Vanguard
At Vanguard, we don't just have a mission-we're on a mission.
To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.
How We Work
Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.

What Vanguard employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply