ZipRecruiter

Log In

1

Executive Full Stack Machine Learning Engineer Jobs in Canonsburg, PA

Aquabyte

Machine Learning Engineer

Pittsburgh, PA · Remote

... stack. Above all, Aquabyte is a customer-driven company. Our product development is dictated by the ... The role As a Machine Learning Engineer you will be responsible for developing Machine Learning ...

Aquabyte

Machine Learning Engineer

Pittsburgh, PA · On-site +1

$110K - $165K/yr

... stack. Above all, Aquabyte is a customer-driven company. Our product development is dictated by the ... The role As a Machine Learning Engineer you will be responsible for developing Machine Learning ...

DataAnnotation

Full Stack Engineer

Pittsburgh, PA · Remote

$40 - $75/hr

As a member of DataAnnotation's coding team, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers ...

Skild AI

Machine Learning Engineer

Pittsburgh, PA · On-site

$100K - $300K/yr

Machine Learning Engineer San Mateo, Pittsburgh Company Overview At Skild AI, we are building the world's first general purpose robotic intelligence that is robust and adapts to unseen scenarios ...

DataAnnotation

Full Stack Developer

Pittsburgh, PA · Remote

$40 - $75/hr

As a member of DataAnnotation's coding team, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers ...

Motional

Staff Machine Learning Engineer

Pittsburgh, PA · On-site +1

Our next-generation autonomous driving stack depends on finding the rare edge cases, long-tail ... As a Staff Machine Learning Engineer, you will serve as a technical leader defining the roadmap and ...

Motional

Staff Machine Learning Engineer

Pittsburgh, PA · On-site +1

Our next-generation autonomous driving stack depends on finding the rare edge cases, long-tail ... As a Staff Machine Learning Engineer, you will serve as a technical leader defining the roadmap and ...

Motional

Staff Machine Learning Engineer

Pittsburgh, PA · On-site

Our next-generation autonomous driving stack depends on finding the rare edge cases, long-tail ... As a Staff Machine Learning Engineer, you will serve as a technical leader defining the roadmap and ...

Motional

Staff Machine Learning Engineer

Pittsburgh, PA · On-site +1

Our next-generation autonomous driving stack depends on finding the rare edge cases, long-tail ... As a Staff Machine Learning Engineer, you will serve as a technical leader defining the roadmap and ...

next page

Showing results 1-20

People also search for

All JobsExecutive Full Stack Machine Learning Engineer JobsExecutive Full Stack Machine Learning Engineer Jobs in Canonsburg, PA

Executive Full Stack Machine Learning Engineer information

See Canonsburg, PA salary details

$40.9K

$123.9K

$175.1K

How much do executive full stack machine learning engineer jobs pay per year?

As of May 28, 2026, the average yearly pay for executive full stack machine learning engineer in Canonsburg, PA is $123,857.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,000.00 and $145,200.00 per year, depending on experience, location, and employer.

What is the difference between Executive Full Stack Machine Learning Engineer vs Data Scientist?

AspectExecutive Full Stack Machine Learning EngineerData Scientist
CredentialsBachelor's/Master's in CS, Engineering, or related; often requires experience in ML and full stack developmentBachelor's/Master's in Data Science, Statistics, or related; strong analytical and statistical skills
Work EnvironmentDevelops end-to-end ML solutions, integrates backend and frontend, collaborates with engineering teamsAnalyzes data, builds models, visualizes insights, often in research or analytics teams
Industry UsageUsed in tech companies, startups, and enterprises deploying ML productsCommon in research institutions, analytics firms, and data-driven organizations

The Executive Full Stack Machine Learning Engineer focuses on building and deploying complete ML solutions, combining software engineering and data science skills. In contrast, Data Scientists primarily analyze data and develop models without necessarily handling full stack development. Both roles require strong technical credentials but differ in scope and daily tasks.

Executive Full Stack Machine Learning Engineer jobs near you
Infographic showing various Executive Full Stack Machine Learning Engineer job openings in Canonsburg, PA as of May 2026, with employment types broken down into 76% Full Time, 22% Part Time, and 2% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $123,857 per year, or $59.5 per hour.

Machine Learning Engineer

Aquabyte

Pittsburgh, PA • Remote

Full-time

Posted 23 days ago

Job description

Aquabyte is seeking a Machine Learning Engineer to help develop and deploy new algorithms to fish farms across the world. You’ll be responsible for software and machine learning model development of our on-camera and cloud software.
 
Our mission
Aquabyte is on a mission to revolutionize the sustainability and efficiency of aquaculture. It is an audacious, and incredibly rewarding mission. By making fish farming more efficient and viable, we aim to promote healthy (for the fish and environment) production of low carbon protein and mitigate one of the biggest causes of climate change. Aquaculture is the single fastest growing food-production sector in the world, and now is the time to define how technology is used to harvest the sea and preserve it for generations to come.
 
We are a diverse, mission-driven team that is eager to work alongside kindred spirits. If this vision inspires you please get in touch.
 
Our product
We are currently focused on helping salmon farmers better understand their fish population and make environmentally sound decisions. Through custom underwater cameras, computer vision, and machine learning we are able to quantify fish weights, detect the health status, and generate optimal feeding plans in real time. Our product operates at three levels: on-site hardware for image capture, cloud pipelines for data processing, and a user-facing web application. As a result, there are hundreds of moving pieces and no shortage of fascinating challenges across all levels of the stack.
 
Above all, Aquabyte is a customer-driven company. Our product development is dictated by the needs of fish farmers and we prioritize customer delight in everything we do. We are committed to building a global, collaborative team.
 
The role
As a Machine Learning Engineer you will be responsible for developing Machine Learning models and pipelines as well as interacting with databases and data infrastructure. Conducting in-depth data analytics and building statistical data inference models of biological processes. This role is on the AI team where we develop image and video inference pipelines to estimate the weight, health and behavior of individual fish and fish populations. You will work closely alongside engineers with years of industry and academic experience.
Required Qualifications
  • BS/MS in relevant technical degree
  • 3+ years of experience with data-science
  • Strong coding ability; strong grasp of Python, SQL
  • Strong data analytics & modeling & ML skills
  • Strong data pipeline and data management skills
  • Strong software engineering skills; knowledge of best practices, testing, and deployment
Bonus Qualifications
  • Familiarity with; snowflake, dbt, airflow, pandas
  • Experience with Docker and cloud SW development (i.e. AWS)
Benefits
  • Competitive salary and equity
  • Unlimited vacation policy
  • Flexible working hours
  • Medical, vision, & dental insurance
  • Retirement matching plan
  • Potential travel to Norway
  • Evolve in a fast-paced environment
  • Be able to shape a business in its early days
  • Get ideas, feedback, and suggestions from other best-in-their-field colleagues
  • Mentorship opportunities, we'll be dedicated to investing in you and supporting you as you grow
Aquabyte takes a market-based approach to compensation. The pay varies on a variety of factors including: job-related qualification, years of experience and competence level, interview performance, and work location.
At Aquabyte, we admire interesting people with a unique background. We strongly encourage you to apply even if you don’t satisfy all the requirements, and we will get back to you as soon as possible! 

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.