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Founding Machine Learning Engineer Jobs in Pittsburgh, PA

... Cloud Engineering and Director of Autonomy to ensure ML systems integrate seamlessly into the ... Machine Learning, or a related field (strong industry track record considered in lieu of advanced ...

Machine Learning Tutor

Pittsburgh, PA ยท Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Showing results 41-60

Founding Machine Learning Engineer information

See Pittsburgh, PA salary details

$30.6K

$125K

$187.9K

How much do founding machine learning engineer jobs pay per year?

As of Aug 14, 2026, the average yearly pay for founding machine learning engineer in Pittsburgh, PA is $125,011.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $150,500.00 per year, depending on experience, location, and employer.

What is a founding machine learning engineer?

A Founding Machine Learning Engineer is one of the first technical team members at a startup who specializes in designing, building, and deploying machine learning systems. This role involves working closely with the founders to set the technical direction, build core AI products, and establish best practices for data and model development. In addition to hands-on coding and experimentation, a Founding Machine Learning Engineer often influences product decisions and helps shape the company's engineering culture. The role typically requires a blend of deep technical expertise, startup agility, and a willingness to tackle both high-level strategy and low-level engineering tasks.

How much does a founding machine learning engineer make?

A founding machine learning engineer typically earns between $120,000 and $180,000 annually, depending on experience, location, and company size. Equity and bonuses are also common components of compensation, especially in startup environments where they play a significant role in total earnings.

What are some unique challenges and expectations for a founding machine learning engineer in an early-stage startup?

As a Founding Machine Learning Engineer, you'll face the unique challenge of building the company's machine learning infrastructure from the ground up, often with limited resources and rapidly evolving requirements. You'll be expected to wear many hats, from designing and deploying models to setting up data pipelines and collaborating closely with product and engineering teams. Your role will also involve making critical decisions about technology stacks and best practices that will shape the company's technical direction. Additionally, you'll have significant influence on the company's culture and have ample opportunities for growth as the team expands.

What are the key skills and qualifications needed to thrive as a founding machine learning engineer, and why are they important?

To thrive as a Founding Machine Learning Engineer, you need deep expertise in machine learning algorithms, software engineering, and data science, often supported by a degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow or PyTorch, cloud platforms, and experience deploying ML models in production are typically required. Strong problem-solving abilities, entrepreneurial mindset, and excellent communication skills set standout candidates apart. These skills and qualities are vital for driving innovation, building scalable solutions from scratch, and collaborating within a fast-paced startup environment.

What are popular job titles related to Founding Machine Learning Engineer jobs in Pittsburgh, PA?

For Founding Machine Learning Engineer jobs in Pittsburgh, PA, the most frequently searched job titles are:

What cities near Pittsburgh, PA are hiring for Founding Machine Learning Engineer jobs?

Cities near Pittsburgh, PA with the most Founding Machine Learning Engineer job openings:

Director of Machine Learning

Gather AI

Pittsburgh, PA โ€ข On-site

Full-time

Re-posted 14 days ago


Job description

Job Summary:
Gather AI is pioneering a new era of warehouse intelligence with innovative software that utilizes autonomous drones for real-time data capture. They are seeking a Director of Machine Learning to define the ML strategy, lead the computer vision organization, and enhance the company's ML capabilities to support their vision-powered platform.
Responsibilities:
โ€ข Define and own the ML strategy and technical roadmap for Gather AI, aligned with product and business objectives
โ€ข Lead and grow the Machine Learning and FPT teams, establishing a culture of rigor, experimentation, and production-quality delivery
โ€ข Drive improvements to core computer vision models (object detection, segmentation, OCR) used across our drone and MHE Vision products
โ€ข Build out MLOps infrastructure โ€” model training pipelines, deployment, monitoring, and CI/CD for ML workloads
โ€ข Collaborate with the Director of Cloud Engineering and Director of Autonomy to ensure ML systems integrate seamlessly into the broader platform
โ€ข Partner with Product and Operations to translate customer needs into ML-driven product capabilities
Qualifications:
Required:
โ€ข 10+ years building and scaling production ML or computer vision systems
โ€ข 5+ years managing and growing ML engineering teams
โ€ข Deep expertise in computer vision: object detection, image segmentation, OCR, and CNN architectures
โ€ข Strong Python and PyTorch (or TensorFlow) proficiency, plus a track record of shipping ML models to production at scale
โ€ข MS or PhD in Computer Science, Machine Learning, or a related field (strong industry track record considered in lieu of advanced degree)
Preferred:
โ€ข Experience with drone, robotics, or autonomous systems perception
โ€ข Edge ML deployment experience (ONNX, TensorRT, mobile/embedded inference)
โ€ข Familiarity with warehouse, logistics, or supply chain domain
โ€ข Experience with AWS or GCP ML services (SageMaker, Vertex AI)
Company:
We deliver the foundational intelligence layer for the intralogistics industry. Founded in 2017, the company is headquartered in Pittsburgh, USA, with a team of 51-200 employees. The company is currently Growth Stage.