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Algorithms Jobs in Columbus, OH (NOW HIRING)

Strong ML foundations with solid grounding in ML algorithms and statistics * Production-quality Python; reproducible pipelines; fluent with Git, testing, containers, and APIs * Hands-on experience ...

We also use custom image-recognition algorithms to analyze test images sent to us by the technicians. We have a great team of bright minds who visualize the future of our application, and we are ...

Skilled at teaching algorithm design, code tracing, and debugging strategies for Java programming. Guides students through implementing searching and sorting algorithms, designing class hierarchies ...

Computer Vision Engineer

Raymond, OH · On-site

$108K - $127K/yr

... algorithms such as segmentation, morphology, pose estimation, camera calibration, image enhancement, feature extraction, classification, 3D Vision and deep learning techniques. • Experience ...

Discrete Math Tutor

Columbus, OH · Remote

$18 - $40/hr

Deep knowledge of logic and proof techniques, set theory, combinatorics, graph theory, number theory, recurrence relations, Boolean algebra, algorithms, and formal languages. Ability to explain ...

Guides students through data preprocessing, feature selection, building and comparing classification and regression models, implementing clustering algorithms, and interpreting confusion matrices and ...

Showing results 21-40

Algorithms information

See Columbus, OH salary details

$63.8K

$129.6K

$185K

How much do algorithms jobs pay per year?

As of Aug 23, 2026, the average yearly pay for algorithms in Columbus, OH is $129,591.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,929.00 and $153,382.00 per year, depending on experience, location, and employer.

What is an algorithm?

Algorithms are step-by-step procedures or sets of rules designed to solve specific problems or perform tasks, commonly used in computer science for data processing, calculation, and automated reasoning. Professionals who work with algorithms develop, analyze, and optimize these procedures to improve the efficiency and effectiveness of software and systems. Understanding algorithms is crucial for roles like software engineers, data scientists, and researchers, as it enables them to create solutions that are both correct and efficient.

What are some common challenges faced by professionals working in algorithm development roles?

Professionals in algorithm development often encounter challenges such as balancing computational efficiency with accuracy, ensuring scalability for large datasets, and adapting algorithms to evolving requirements. Collaborating closely with data scientists, engineers, and product teams is essential to align solutions with real-world constraints and business goals. Staying current with the latest research and technologies is also important, as the field evolves rapidly and new methods frequently emerge.

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

To thrive as an Algorithms Engineer, you need a strong background in computer science, mathematics, and data structures, typically supported by a relevant degree. Familiarity with programming languages like Python or C++, version control systems, and algorithm analysis tools is essential. Strong analytical thinking, problem-solving ability, and effective communication skills set exceptional candidates apart. These competencies are crucial for designing efficient solutions, optimizing performance, and collaborating effectively within technical teams.

What is the difference between Algorithms vs Data Analysts?

AspectAlgorithmsData Analysts
Required CredentialsDegree in Computer Science, Mathematics, or related fields; programming skillsDegree in Statistics, Mathematics, or related fields; analytical skills
Work EnvironmentTech companies, research labs, software developmentBusiness, finance, marketing, healthcare sectors
Employer & Industry UsageUsed to develop models, optimize processes, and automate tasksUsed to interpret data, generate reports, and support decision-making

Algorithms focus on designing step-by-step procedures for problem-solving and are essential in software development and AI. Data Analysts interpret and visualize data to help organizations make informed decisions. While both roles work with data, algorithms are more technical and programming-intensive, whereas data analysts focus on data interpretation and reporting.

What is the job of an algorithms?

An algorithms professional designs, analyzes, and implements algorithms to solve computational problems efficiently. They often work in software development, data analysis, or machine learning, requiring strong programming skills and knowledge of data structures. Their work helps optimize processes and improve system performance.

What jobs use algorithms?

Algorithms are fundamental to many jobs in technology, data science, software engineering, and artificial intelligence. Professionals in these roles develop, analyze, and implement algorithms to solve problems, optimize processes, and build systems, often using programming languages like Python, Java, or C++. Knowledge of data structures, mathematical concepts, and coding skills are essential in these fields.
Infographic showing various Algorithms job openings in Columbus, OH as of August 2026, with employment types broken down into 1% Internship, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 74% Physical, 5% Hybrid, and 21% Remote job distribution, with an average salary of $129,591 per year, or $62.3 per hour.

Machine Learning Engineer, Robot Learning

Path Robotics

Columbus, OH

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 15 days ago


Job description

Build the Path Forward

At Path Robotics, we're building the future of embodied intelligence. Our AI-driven systems enable robots to adapt, learn, and perform in the real world closing the skilled labor gap and transforming industries. We go beyond traditional methods, combining perception, reasoning, and control to deliver field-ready AI that is risk-aware, reliable, and continuously improving through real-world use.

Big, hard problems are our everyday work, and our team of intelligent, humble, and driven people make the impossible possible together.

We are seeking a skilled and motivated Machine Learning Engineer with expertise in modern robotics and manipulation to join our Robot Learning team to build agentic AI systems for industrial applications. The ideal candidate will have experience in robotics, with a focus on developing and implementing advanced manipulation techniques, motion control systems, and planning algorithms for autonomous robots. This role involves working closely with cross-functional teams to design, test, and deploy innovative solutions that improve the performance and capabilities of our robotic systems.

What You'll Do
  • Work on the development and deployment of behavioral cloning (BC), reinforcement learning (RL), and diffusion models to solve complex robotic tasks.
  • Leverage multi-modal data, including image-based data, force, and torque to enhance robotic manipulation and control.
  • Design and implement vision-language-action (VLA) models for more intelligent and responsive robotic systems.
  • Craft strategies for the entire solution's lifecycle, including data collection, fleet learning, and continuous learning.
  • Develop, optimize, and deploy learning-based methods for robot control and object manipulation algorithms on a fleet of industrial robotic cells.
  • Collaborate with hardware and software teams to integrate manipulation, control, and planning algorithms into robotic platforms.
  • Stay updated with the latest advancements in robotics, control theory, and planning algorithms.
Who You Are
  • Ph.D. or Master's degree in Robotics, Mechanical Engineering, Electrical Engineering, Computer Science, or a related field.
  • Proven track record in publishing at top conferences (e.g., NeurIPS, ICLR, ICML, CoRL, RLC).
  • Experience with robotic simulation tools (e.g., Isaac Sim, MuJoCo).
  • Experience with machine learning techniques applied to robot manipulation.
  • Experience building models from scratch and deploying them in real-world applications.
  • Experience with pose estimation, segmentation, active perception, and affordance-based bin picking.
  • Strong programming skills in languages such as C++ or Python.
  • Experience with robotic simulation tools (e.g., Isaac Sim, MuJoCo).
  • Proven track record of deploying scalable solutions for autonomous robotic systems.
  • Strong communication skills, with the ability to convey complex technical concepts to a diverse audience.
Why You'll Love It Here
  • Daily free lunch to keep you fueled and connected with the team
  • Flexible PTO so you can take the time you need, when you need it
  • Comprehensive medical, dental, and vision coverage
  • 6 weeks fully paid parental leave, plus an additional 6-8 weeks for birthing parents (12-14 weeks total)
  • 401(k) retirement plan through Empower
  • Generous employee referral bonuses-help us grow our team!
Who We Are

At Path Robotics we love coming to work to solve interesting and tough challenges but also because our ideas are welcomed and valued. We encourage unique thinking and are dedicated to creating a diverse and inclusive environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

If you require a reasonable accommodation to participate in the application process or any part of the hiring process, please contact HR@path-robotics.com. We are committed to providing equal access and will work with qualified individuals to ensure a fair and accessible hiring experience. We will respond to your request within 48 hours.