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Algorithm Developer Jobs in Pittsburgh, PA (NOW HIRING)

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How much do algorithm developer jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for algorithm developer in Pittsburgh, PA is $76.20, according to ZipRecruiter salary data. Most workers in this role earn between $64.86 and $86.35 per hour, depending on experience, location, and employer.

What does an algorithm developer do?

An algorithm developer designs, analyzes, and implements algorithms to solve specific problems or improve processes, often working with data structures and programming languages. They optimize algorithms for efficiency and accuracy, frequently using tools like Python, C++, or MATLAB, and may collaborate with data scientists or software engineers. Their work is essential in fields such as machine learning, artificial intelligence, and software development.

How much do algorithm developers make?

Algorithm developers typically earn a median salary ranging from $80,000 to $130,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in machine learning or data analysis can earn higher salaries, often exceeding $150,000 per year.

What are some common challenges Algorithm Developers face when transitioning from academia to industry roles?

Algorithm Developers transitioning from academia to industry often encounter challenges such as adapting to faster-paced project timelines and prioritizing practical, scalable solutions over theoretical elegance. In industry, collaboration with cross-functional teams—like software engineers and product managers—is essential, requiring strong communication and teamwork skills. Additionally, there is a greater emphasis on writing production-quality, well-documented code and aligning algorithmic work with business objectives. Learning to balance innovation with deliverable deadlines is a key part of succeeding in these roles.

Will AI replace algorithm developers?

AI is unlikely to fully replace algorithm developers, as their role involves designing, optimizing, and understanding complex algorithms that require human creativity and domain expertise. Instead, AI tools can assist developers by automating routine tasks and enhancing productivity, allowing them to focus on more advanced problem-solving and innovation.

What Does an Algorithm Developer Do?

The job duties of an algorithm developer revolve around researching, writing, and performance testing algorithms. As an algorithm developer, your responsibilities include working to implement your algorithms and then to analyze and modify them as needed. Generally, algorithms use data from a system to generate actions, processes, or reports, so with each algorithm you build, you must first identify the goals and then work to achieve specific results. In this career, you may collaborate with a team to create theories and then perform research and tests until you have designed an efficient algorithm.

What engineer makes $500,000 a year?

Senior software engineers, especially those working in high-demand fields like artificial intelligence, machine learning, or at major tech companies, can earn $500,000 or more annually. Compensation often includes base salary, bonuses, and stock options, and typically requires advanced skills, extensive experience, and sometimes leadership roles.

What are the key skills and qualifications needed to thrive as an Algorithm Developer, and why are they important?

To thrive as an Algorithm Developer, you need strong programming skills (often in languages like Python, C++, or Java), a solid grasp of data structures and algorithms, and typically a degree in computer science or a related field. Familiarity with version control systems (like Git), algorithm analysis tools, and sometimes knowledge of specialized libraries (e.g., NumPy, TensorFlow) is expected. Analytical thinking, problem-solving, and effective communication are vital soft skills for designing efficient solutions and collaborating with teams. These skills ensure the creation of robust, optimized algorithms that meet technical requirements and business goals.
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What job categories do people searching Algorithm Developer jobs in Pittsburgh, PA look for? The top searched job categories for Algorithm Developer jobs in Pittsburgh, PA are:
Algorithm Developer jobs near you
Infographic showing various Algorithm Developer job openings in Pittsburgh, PA as of July 2026, with employment types broken down into 3% Locum Tenens, 69% Full Time, 25% Part Time, and 3% Contract. Highlights an 76% Physical, 2% Hybrid, and 22% Remote job distribution, with an average salary of $158,500 per year, or $76.2 per hour.

Machine Learning Engineer, Reinforcement Learning

Skild AI

Pittsburgh, PA • On-site

$100K - $300K/yr

Full-time

Re-posted 25 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 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

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