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Research Assistant Deep Learning Jobs in Pennsylvania

Skild AI

Deep Learning Manipulation Engineer

Pittsburgh, PA · On-site

$100K - $300K/yr

Working closely with our machine learning, robotics, and research teams, you'll ensure these models ... Design, implement, and optimize deep learning models for robotic manipulation. * Model robotic ...

The Pennsylvania State University

$21/hr

... seeking part-time Research Assistant/Programmer to assist with robotics and machine learning ... Experience with at least one deep learning framework such as PyTorch or TensorFlow * Understanding ...

Whiterabbit.ai

Train on a dedicated high-performance compute cluster specialized for deep learning research * Work with doctors and healthcare professionals to identify serious problems and leverage their domain ...

Whiterabbit.ai

Train on a dedicated high-performance compute cluster specialized for deep learning research * Work with doctors and healthcare professionals to identify serious problems and leverage their domain ...

Whiterabbit.ai

Train on a dedicated high-performance compute cluster specialized for deep learning research * Work with doctors and healthcare professionals to identify serious problems and leverage their domain ...

Whiterabbit.ai

Train on a dedicated high-performance compute cluster specialized for deep learning research * Work with doctors and healthcare professionals to identify serious problems and leverage their domain ...

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Research Assistant Deep Learning information

What is a research assistant deep learning?

Research Assistant Deep Learning jobs involve supporting research projects focused on artificial intelligence, specifically within the field of deep learning. These roles typically require assisting with data collection, preprocessing, running machine learning experiments, and analyzing results. Research assistants may also help with literature reviews, code development, and documentation. The position is often found in academic, industry, or research lab settings, and usually requires a solid foundation in programming, mathematics, and neural network concepts.

What does a research assistant deep learning do?

As a Research Assistant in Deep Learning, you can expect to work closely with research scientists and engineers to design, implement, and evaluate novel deep learning models. Typical daily tasks include data preprocessing, running experiments, analyzing results, and contributing to academic papers or presentations. You may also assist in developing codebases, conducting literature reviews, and collaborating with team members to solve technical challenges. The work environment is often collaborative and fast-paced, with opportunities to learn from experts and contribute to cutting-edge research projects.

What are the key skills and qualifications needed to thrive as a research assistant deep learning?

To thrive as a Research Assistant in Deep Learning, you need a strong background in machine learning, programming (especially Python), and a relevant degree in computer science or a related field. Familiarity with deep learning frameworks such as TensorFlow or PyTorch, as well as experience with data preprocessing and GPU computing, are typically required. Strong analytical thinking, attention to detail, and effective communication skills help you excel in collaborative research environments. These skills and qualities are essential for efficiently developing, testing, and improving advanced machine learning models in a fast-evolving field.

What is the difference between Research Assistant Deep Learning vs Research Assistant Machine Learning?

AspectResearch Assistant Deep LearningResearch Assistant Machine Learning
Required CredentialsBachelor's or Master's in Computer Science, Data Science, or related fields; knowledge of neural networksBachelor's or Master's in Computer Science, Data Science, or related fields; foundational ML knowledge
Work EnvironmentResearch labs, universities, tech companies focusing on AI and neural networksResearch labs, universities, tech companies working on various ML algorithms
Employer & Industry UsageAI research, deep learning projects, neural network developmentGeneral machine learning applications, data analysis, predictive modeling

Research Assistant Deep Learning specializes in neural networks and AI-focused projects, while Research Assistant Machine Learning covers a broader range of algorithms and data analysis tasks. Both roles require similar educational backgrounds but differ in technical focus and application areas.

What are popular job titles related to Research Assistant Deep Learning jobs in Pennsylvania?

For Research Assistant Deep Learning jobs in Pennsylvania, the most frequently searched job titles are:

What job categories do people searching Research Assistant Deep Learning jobs in Pennsylvania look for?

The top searched job categories for Research Assistant Deep Learning jobs in Pennsylvania are:

What cities in Pennsylvania are hiring for Research Assistant Deep Learning jobs?

Cities in Pennsylvania with the most Research Assistant Deep Learning job openings:

Research Assistant Deep Learning jobs near you
Infographic showing various Research Assistant Deep Learning job openings in Pennsylvania as of August 2026, with employment types broken down into 1% As Needed, 69% Full Time, 26% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Deep Learning Manipulation Engineer

Skild AI

Pittsburgh, PA • On-site

$100K - $300K/yr

Full-time

Re-posted 11 days ago

Job description

Company Overview
At Skild AI, we are building the world's first general purpose robotic intelligence that is robust and adapts to unseen scenarios without failing. We believe massive scale through data-driven machine learning is the key to unlocking these capabilities for the widespread deployment of robots within society. Our team consists of individuals with varying levels of experience and backgrounds, from new graduates to domain experts. Relevant industry experience is important, but ultimately less so than your demonstrated abilities and attitude. We are looking for passionate individuals who are eager to explore uncharted waters and contribute to our innovative projects.
Position Overview
We are looking for a Deep Learning Engineer to develop and refine models for robotic manipulation. You will design, train, and deploy algorithms that enable robots to interact intelligently and adapt to their environments. Working closely with our machine learning, robotics, and research teams, you'll ensure these models are robust, efficient, and ready for real-world challenges. Your work will directly advance Skild AI's robotics capabilities, enabling robots to perform complex tasks autonomously.
Responsibilities
  • Design, implement, and optimize deep learning models for robotic manipulation.
  • Model robotic manipulation processes to enable analysis, simulation, planning, and controls
  • Collaborate with cross-functional teams to develop scalable and generalizable manipulation solutions for deployment in robotic systems.
  • Work with inference, deployment, and application teams to integrate deep learning models seamlessly into robotic platforms.
Preferred Qualifications
  • BS, MS, or higher degree in Computer Science, Robotics, Mechanical Engineering, or a related field, or equivalent practical experience.
  • Proficiency in Python and at least one deep learning library such as PyTorch, TensorFlow, JAX, etc.
  • Proficiency with advanced deep learning techniques and architectures as well as reinforcement learning and or imitation learning.
  • Experience with distributed deep learning systems.

Base Salary Range
$100,000-$300,000 USD

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