ZipRecruiter

Log In

1

Work Based Learning Program Aws Jobs in Pittsburgh, PA

Goodwill

Director Workforce Training

Pittsburgh, PA · On-site

Occasional travel to program and partner sites may be required. RESPONSIBILITIES: Included but not ... work-based learning opportunities that enhance the training experience. Leadership: * Lead the ...

TeleTracking

Machine Learning Engineer III

Pittsburgh, PA · On-site

$111K - $133K/yr

Ability to efficiently work with very large datasets and deal with non-standard machine learning ... based management and hosting, one or more of: AWS, Azure, GCS, CloudFormation, Terraform, or ...

Trying Together

Early Literacy Strategist

Pittsburgh, PA · On-site

$48K - $52K/yr

Trying Together is a Pittsburgh-based nonprofit that supports the work of early childhood by ... Build relationships with early learning programs and providers and work with the Trying Together ...

previous page

Showing results 41-60

All JobsWork Based Learning Program Aws JobsWork Based Learning Program Aws Jobs in Pittsburgh, PA

Work Based Learning Program Aws information

See Pittsburgh, PA salary details

$45.6K

$79K

$178.1K

How much do work based learning program aws jobs pay per year?

As of Aug 20, 2026, the average yearly pay for work based learning program aws in Pittsburgh, PA is $78,993.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,300.00 and $86,400.00 per year, depending on experience, location, and employer.

What is a work based learning program with AWS?

A Work Based Learning Program with AWS is an educational initiative that combines classroom instruction with real-world work experience using Amazon Web Services (AWS) technologies. These programs are designed to help students and professionals gain hands-on cloud computing skills by working on projects, internships, or apprenticeships in partnership with employers. Participants learn about cloud infrastructure, deployment, and AWS services, making them more competitive in the job market. Such programs often include mentorship, industry certifications, and exposure to real business challenges.

How does participating in an AWS work based learning program help prepare candidates for a cloud-focused career?

Participating in an AWS Work-Based Learning Program offers hands-on experience with key AWS cloud services, allowing candidates to apply classroom concepts to real-world projects. You'll typically collaborate with mentors and teammates in a structured environment, working on tasks such as cloud migration, automation, and security configuration. This immersion helps build both technical and professional skills, making you more competitive for roles such as cloud support associate or solutions architect. Additionally, exposure to industry best practices and networking opportunities within the program can significantly accelerate your career growth in cloud computing.

What are the key skills and qualifications needed to thrive in a work based learning program focused on AWS, and why are they important?

To thrive in a Work-Based Learning Program focused on AWS, you need foundational knowledge of cloud computing concepts, basic programming skills, and familiarity with networking, supported by relevant coursework or entry-level certifications like AWS Cloud Practitioner. Hands-on experience with AWS tools such as EC2, S3, Lambda, and the AWS Management Console is typically required, along with understanding of version control systems like Git. Strong problem-solving abilities, willingness to learn, and effective communication are important soft skills for adapting to real-world technical environments. These skills and qualities are crucial for successfully applying cloud concepts in practical settings and collaborating with teams to solve business challenges.

What is the difference between Work Based Learning Program Aws vs Cloud Support Associate?

AspectWork Based Learning Program AwsCloud Support Associate
CredentialsTypically no formal certifications required; focus on trainingOften requires AWS certifications or related cloud credentials
Work EnvironmentEducational or training setting, often part-time or internshipProfessional cloud support environment, full-time role
Employer & Industry UsageEducational institutions, training providers, AWS programsCloud service providers, IT companies, AWS partners

The Work Based Learning Program Aws is primarily a training or internship opportunity designed to develop skills in AWS cloud services, often without requiring prior certifications. In contrast, a Cloud Support Associate is a full-time professional role that typically requires AWS certifications and involves supporting cloud customers in a real-world environment. While the learning program focuses on education and skill development, the associate role emphasizes practical support and troubleshooting in the industry.

What are popular job titles related to Work Based Learning Program Aws jobs in Pittsburgh, PA?

For Work Based Learning Program Aws jobs in Pittsburgh, PA, the most frequently searched job titles are:

What job categories do people searching Work Based Learning Program Aws jobs in Pittsburgh, PA look for?

The top searched job categories for Work Based Learning Program Aws jobs in Pittsburgh, PA are:

What cities near Pittsburgh, PA are hiring for Work Based Learning Program Aws jobs?

Cities near Pittsburgh, PA with the most Work Based Learning Program Aws job openings:

Work Based Learning Program Aws jobs near you
Infographic showing various Work Based Learning Program Aws job openings in Pittsburgh, PA as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 18% Part Time, and 4% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $78,993 per year, or $38 per hour.

Machine Learning Engineer, Reinforcement Learning

Skild AI

Pittsburgh, PA • On-site

$100K - $300K/yr

Full-time

Re-posted 17 hours 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 Machine Learning Engineer to be responsible for designing and implementing cutting-edge reinforcement learning algorithms, conducting experiments, and optimizing these models to perform efficiently in real-world robotic environments. This will require close collaboration with our robotics, research, and engineering team. Your work will directly impact the development of intelligent, adaptable robots capable of learning and performing complex tasks autonomously.
Responsibilities
  • Develop and implement state-of-the-art reinforcement learning algorithms for robotic applications.
  • Design and conduct experiments to train RL models and conduct real-world tests.
  • Collaborate closely with researchers to explore novel methods of scaling up reinforcement learning model training.
  • Communicate effectively with inference, application, and deployment engineers to integrate RL models into robotic systems and iterate on methods to enable robust deployment.
  • Analyze and interpret experimental results, iterating on model design to achieve desired performance.
  • Stay up-to-date with the latest research and advancements in reinforcement learning.
Preferred Qualifications
  • BS, MS or higher degree in Computer Science, Robotics, Engineering or a related field, or equivalent practical experience.
  • Proficiency in Python, C++, or similar and at least one deep learning library such as PyTorch, TensorFlow, JAX, etc.
  • Deep understanding and practical experience with various reinforcement learning algorithms and techniques (model-free, model-based, multi-task, hierarchical, multi-agent, etc.).
  • Strong background in algorithms, data structures, and software engineering principles.
  • Experience with physics simulation engines and tools for training RL.
  • Deep understanding of state-of-the-art machine learning techniques and models.
  • Extensive industry experience with reinforcement learning and robotic systems.

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

Apply