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Machine Learning Scientist Jobs in Pittsburgh, PA

Varsity Tutors

Machine Learning Tutor

Pittsburgh, PA · Remote

$18 - $40/hr

... science roles and advanced AI coursework. * Conceptual Teaching & Problem-Solving: Skilled at ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

TeleTracking

Machine Learning Engineer III

Pittsburgh, PA · On-site

$111K - $133K/yr

... scientists, software engineers, clinicians, hospital administrators, and experts in TeleTracking Technologies to identify and develop high-impact machine learning solutions. • Work with large-scale ...

Gather AI

Director of Machine Learning

Pittsburgh, PA · On-site

... Science, Machine Learning, or a related field (strong industry track record considered in lieu of advanced degree) Preferred : • Experience with drone, robotics, or autonomous systems perception ...

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All JobsMachine Learning Scientist JobsMachine Learning Scientist Jobs in Pittsburgh, PA

Machine Learning Scientist information

See Pittsburgh, PA salary details

$74.1K

$134.4K

$188.3K

How much do machine learning scientist jobs pay per year?

As of Aug 4, 2026, the average yearly pay for machine learning scientist in Pittsburgh, PA is $134,439.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,581.00 and $149,620.00 per year, depending on experience, location, and employer.

What is a machine learning scientist?

A Machine Learning Scientist researches, develops, and applies machine learning models to solve complex problems. They work on designing algorithms, improving model performance, and analyzing large datasets to extract valuable insights. Their role often involves experimenting with new techniques, optimizing existing models, and collaborating with engineers and data scientists to deploy solutions. Machine Learning Scientists typically have expertise in statistics, mathematics, and programming languages like Python. They work in industries such as healthcare, finance, and technology to drive innovation using artificial intelligence.

What does a machine learning scientist do?

A typical day for a Machine Learning Scientist involves collecting and analyzing large datasets, designing and training machine learning models, and evaluating model performance to ensure accuracy and reliability. You'll often collaborate with data engineers, software developers, and domain experts to define project goals, prepare data, and integrate solutions into production systems. Regular team meetings, code reviews, and brainstorming sessions are common, fostering an environment of shared learning and problem-solving. This collaborative structure not only enhances project outcomes but also offers valuable opportunities for continuous professional growth and skill development.

What skills and qualifications are needed to be a machine learning scientist?

To thrive as a Machine Learning Scientist, you need strong skills in mathematics, statistics, programming (typically in Python or R), and a graduate degree in computer science, data science, or a related field. Expertise in machine learning frameworks (such as TensorFlow, PyTorch, or scikit-learn), proficiency with data processing tools, and experience with cloud platforms (like AWS or GCP) are commonly required; certifications in these can be advantageous. Critical thinking, problem-solving, and effective communication are important soft skills for collaborating with cross-functional teams and conveying complex concepts. These abilities enable Machine Learning Scientists to build effective models, deliver actionable insights, and drive innovation within organizations.

What are the most commonly searched types of Machine Learning Scientist jobs in Pittsburgh, PA? The most popular types of Machine Learning Scientist jobs in Pittsburgh, PA are:
What are popular job titles related to Machine Learning Scientist jobs in Pittsburgh, PA? For Machine Learning Scientist jobs in Pittsburgh, PA, the most frequently searched job titles are:
What job categories do people searching Machine Learning Scientist jobs in Pittsburgh, PA look for? The top searched job categories for Machine Learning Scientist jobs in Pittsburgh, PA are:
Machine Learning Scientist jobs near you
Infographic showing various Machine Learning Scientist job openings in Pittsburgh, PA as of July 2026, with employment types broken down into 1% As Needed, 69% Full Time, 25% Part Time, 2% Temporary, and 3% Contract. Highlights an 85% Physical, 2% Hybrid, and 13% Remote job distribution, with an average salary of $134,439 per year, or $64.6 per hour.

Principal Machine Learning Scientist

Gather AI

Pittsburgh, PA • On-site

Full-time

Re-posted 3 days ago

Job description

About Us

Are you ready to build the future of the supply chain? At Gather AI, we're not just creating software; we're pioneering a new era of warehouse intelligence. We've developed a groundbreaking, vision-powered platform that uses autonomous drones and existing equipment to capture real-time data, completely digitizing workflows that have historically been manual and error-prone. This means facilities operate smarter, safer, and more efficiently, ultimately redefining "on-time, in full" delivery.

If you're looking for an opportunity to contribute to truly transformative technology and make a significant impact in a vital industry, Gather AI is the place for you. We're leading the charge in the rapidly evolving robotics industry, and we invite you to join us in reshaping the global supply chain, one intelligent warehouse at a time.

About the Team

This role work closely with a Senior Machine Learning Scientist and our Lead Machine Learning Infrastructure Engineer, alongside cross-functional partners in Cloud Engineering, Product, and Operations. The role spans both deep technical work and collaboration with teams closest to the customer. As a Principal-level IC, you'll have real input into technical direction — not just executing on decisions, but helping make them.

About the Role

We are looking for a Principal Machine Learning Scientist to advance the state of our computer vision systems for warehouse inventory scanning. You will work across the full ML lifecycle — from research and model architecture through training, deployment, and production monitoring — with a focus on delivering measurable improvements to detection, segmentation, and OCR accuracy across our drone and MHE Vision products.

This role is ideal for a senior ML practitioner who wants principal-level impact on a core product, a variety of deployment targets (cloud, on-prem, embedded), and real-world data with tangible business outcomes.

What You'll Do

  • Advance core computer vision model performance (object detection, segmentation, OCR) for warehouse inventory scanning across drone and MHE Vision platforms
  • Own the full ML lifecycle from research and experiment design through production deployment and monitoring — applying rigorous ablation studies and SOTA methodology
  • Collaborate with the ML infrastructure team on model optimization and deployment across cloud and edge inference targets (ONNX, TensorRT, quantization)
  • Work with Operations and Product to understand customer needs and translate them into ML improvements with measurable business impact
  • Provide technical leadership and mentorship to the ML team, raising standards for experiment design, model evaluation, and production readiness
  • Explore next-generation perception capabilities, including embedded and on-prem inference optimization for new deployment targets

What You'll Need

  • 10+ years of experience in machine learning or computer vision
  • Deep expertise in CNNs, object detection, image segmentation, and OCR using PyTorch (preferred) or TensorFlow
  • Strong Python proficiency and software engineering fundamentals; hands-on experience with OpenCV and GPU computing
  • Track record of delivering production ML systems at scale, including model training, evaluation, and deployment
  • MS or PhD in Computer Science, Machine Learning, Robotics, or a related field

Nice to Have

  • Experience with drone, robotics, or autonomous systems perception
  • Publications in top vision or robotics conferences (CVPR, ICCV, ICRA, NeurIPS, CoRL)
  • Experience designing and deploying models for real-time inference on constrained compute platforms
  • Warehouse, logistics, or supply chain domain experience