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Ai Algorithm Engineer Jobs in Pennsylvania (NOW HIRING)

Demonstrating algorithms to meet accuracy requirements on general subject population through ... D. in a "STEM" major (Science, Technology, Engineering, Mathematics) or equivalent field with 3 ...

Demonstrating algorithms to meet accuracy requirements on general subject population through ... D. in a "STEM" major (Science, Technology, Engineering, Mathematics) or equivalent field with 3 ...

Demonstrating algorithms to meet accuracy requirements on general subject population through ... D. in a "STEM" major (Science, Technology, Engineering, Mathematics) or equivalent field with 6 ...

Design, develop, and implement AI/ML models and algorithms using Python. Deploy and manage AI ... Collaborate with data scientists and other engineers to integrate AI models into existing systems.

Champion best practices in full-stack algorithm engineering Role Qualifications * AI-Augmented Development: Proficient in leveraging AI-powered development tools (e.g., Cursor, VS Code Copilot ...

Champion best practices in full-stack algorithm engineering Role Qualifications * AI-Augmented Development: Proficient in leveraging AI-powered development tools (e.g., Cursor, VS Code Copilot ...

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Ai Algorithm Engineer information

What are some common challenges AI algorithm engineers face when deploying models to production environments?

AI Algorithm Engineers often encounter challenges such as ensuring model scalability, maintaining inference speed, and handling the integration of models with existing systems. Additionally, they must address issues like model drift, data pipeline inconsistencies, and the need for continuous monitoring to maintain accuracy over time. Effective collaboration with data engineers, software developers, and DevOps teams is essential for successful deployment and ongoing model performance.

What is the difference between Ai Algorithm Engineer vs Data Scientist?

AspectAi Algorithm EngineerData Scientist
Required CredentialsBachelor's or Master's in CS, AI, or related fields; knowledge of algorithms and programmingBachelor's or Master's in CS, Statistics, or related fields; strong analytical skills
Work EnvironmentDevelops and optimizes AI algorithms, often in R&D or product teamsAnalyzes data, builds models, and provides insights for business decisions
Industry UsageTech companies, AI startups, research institutionsFinance, healthcare, marketing, tech firms

While both roles require strong technical skills and a background in data or algorithms, Ai Algorithm Engineers focus on designing and improving AI algorithms, whereas Data Scientists analyze data to generate insights and build predictive models. The roles often overlap but serve different primary functions within organizations.

What are the key skills and qualifications needed to thrive as an AI algorithm engineer?

To thrive as an AI Algorithm Engineer, you need strong expertise in mathematics, programming (especially Python, C++, or Java), and a solid background in computer science or a related field, often supported by a relevant degree. Familiarity with machine learning frameworks (like TensorFlow, PyTorch), data processing tools, and sometimes certifications in AI or data science are typically required. Creative problem-solving, strong analytical thinking, and effective communication are crucial soft skills that set top candidates apart. These skills and qualifications are essential for designing robust AI solutions, collaborating with cross-functional teams, and driving innovation in rapidly evolving technical environments.

What is an AI algorithm engineer?

AI Algorithm Engineers are professionals who design, develop, and optimize algorithms that enable artificial intelligence systems to learn from data and perform complex tasks. They work with machine learning, deep learning, and other AI techniques to create models that can analyze information, make predictions, or automate processes. AI Algorithm Engineers often collaborate with data scientists and software developers to implement and improve AI solutions for various industries, such as healthcare, finance, and technology. Their work involves both theoretical research and practical application, requiring strong programming and mathematical skills.
What are popular job titles related to Ai Algorithm Engineer jobs in Pennsylvania? For Ai Algorithm Engineer jobs in Pennsylvania, the most frequently searched job titles are:
What job categories do people searching Ai Algorithm Engineer jobs in Pennsylvania look for? The top searched job categories for Ai Algorithm Engineer jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for Ai Algorithm Engineer jobs? Cities in Pennsylvania with the most Ai Algorithm Engineer job openings:
Infographic showing various Ai Algorithm Engineer job openings in Pennsylvania as of July 2026, with employment types broken down into 73% Full Time, 24% Part Time, and 3% Contract. Highlights an 71% Physical, 3% Hybrid, and 26% Remote job distribution.

Robotics Algorithm Engineer

HELLBENDER Inc.

Pittsburgh, PA โ€ข On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 4 days ago


Job description

Who We Are
Hellbender Inc. is a Pennsylvania Benefit Corporation who partners with innovators to mature their Artificial Intelligence enabled computing sensors and produce their solutions onshore at prototype to high volumes.
Hellbender is intentionally forming an inclusive work environment and is committed to uplifting the historically marginalized identities including veterans, women, trans and underrepresented races in our community and industry.
Job Summary
We're looking for a Robotics Algorithm Engineer to design, implement, and optimize the algorithms that power our AI computer vision systems. You'll work at the intersection of software engineering and applied mathematics, translating theoretical models into robust, real-time solutions that run on physical hardware.
Essential Duties and Responsibilities
  • Design and implement algorithms for motion planning, trajectory optimization, and robotic control (e.g., D*, PRM, MPC, GCS, graph planners, sampling planners, trajectory optimization, learned neural planners, etc.)
  • Develop perception pipelines including SLAM, sensor fusion, object detection, and localization using LiDAR, Event, frame, and stereo cameras, IMUs, RADARs, and other sensors (e.g. SLAM, SFM, EFK, UKF, graph solvers, OpenCV, etc.)
  • Build and refine kinematic and dynamic models for robotic manipulators, mobile platforms, or multi-body systems
  • Optimize deep learning and classical CV algorithms for real-time inference on embedded/edge hardware (e.g., GPUs, NPUs, FPGAs)
  • Validate and refine algorithms through physical hardware in the loop testing before product deployment
  • Profile and debug latency, throughput, and accuracy tradeoffs across the perception-to-control pipeline
  • Collaborate with mechanical, electrical, and software teams to integrate algorithms into full robotic systems
  • Analyze test data to debug performance issues and improve system reliability and safety
  • Document technical designs, experiments, and results for internal and external stakeholders

Qualifications, Skills, and Attributes
  • Masters's degree or PhD in Robotics, Computer Science, Electrical/Mechanical Engineering, or related field
  • 5+ years of experience developing robotics algorithms in a research or production environment
  • Strong proficiency in C++ and/or Python
  • Solid foundation in linear algebra, probability/statistics, and control theory
  • Experience with ROS/ROS2 or comparable robotics middleware
  • Hands-on experience with at least one of: motion planning, SLAM, computer vision, or sensor fusion
  • Experience testing and validating algorithms on physical robotic hardware

Due to the nature of Hellbender's funding, this position requires US citizenship or Permanent Resident status.
Compensation
Competitive salary based on qualifications and experience.
Benefits
  • 401(k)
  • 5% Safe Harbor Contribution to 401k by Hellbender
  • 100% of Health, Dental, and Vision insurance premiums for employees and their families paid by Hellbender
  • 7.5 weeks total Paid time off
  • Profit Sharing (through 401k)
  • Hybrid work environment & flexible work schedule

Work Location
Pittsburgh
Opportunity for Advancement
Hellbender is a growing business and follows a policy that prioritizes internal promotions. As new positions are created, new opportunities for advancement will be created as well.