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Contract Machine Learning Testing Jobs in Pennsylvania

The Pennsylvania State University

$14.75 - $19.75/hr

Contribute to the development, testing, and transition of front and back-end software applications to various IT environments. * Support machine learning model development using tools and ...

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Contract Machine Learning Testing information

What is the difference between Contract Machine Learning Testing vs Contract Data Analyst?

AspectContract Machine Learning TestingContract Data Analyst
Required CredentialsKnowledge of ML algorithms, programming skills (Python, R), understanding of testing frameworksStatistical skills, data visualization, proficiency in SQL and Excel
Work EnvironmentTech companies, AI startups, consulting firmsBusiness intelligence teams, marketing agencies, finance firms
Employer & Industry UsagePrimarily in AI/ML development projects across tech and research sectorsData-driven decision making in various industries like finance, marketing, and healthcare

Contract Machine Learning Testing focuses on evaluating and validating ML models for accuracy and performance, requiring technical skills in algorithms and programming. Contract Data Analysts interpret data, generate reports, and support business decisions using statistical tools. While both roles involve working with data, Machine Learning Testing is more technical and specialized in AI models, whereas Data Analysts focus on broader data analysis and reporting.

What are the most commonly searched types of Machine Learning Testing jobs in Pennsylvania? The most popular types of Machine Learning Testing jobs in Pennsylvania are:
What are popular job titles related to Contract Machine Learning Testing jobs in Pennsylvania? For Contract Machine Learning Testing jobs in Pennsylvania, the most frequently searched job titles are:
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Contract Machine Learning Testing jobs near you
Infographic showing various Contract Machine Learning Testing job openings in Pennsylvania as of July 2026, with employment types broken down into 60% Full Time, 22% Part Time, 1% Temporary, and 17% Contract. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution.

Senior Software Engineer - Scalable Machine Learning

Latitude AI

Pittsburgh, PA • On-site

$118K - $156K/yr

Full-time

Posted 24 days ago

Job description

Job Summary:
Latitude AI develops automated driving technologies, including L3, for Ford vehicles at scale. The Senior Software Engineer for the Scalable ML team will design and implement cloud services for data management and workflow orchestration, while also mentoring junior engineers and collaborating with cross-functional teams.
Responsibilities:
• Design, and implement state-of-the-art cloud services for data ingest, workflow orchestration, and distributed training at scale
• Develop solutions to generate, manage, and process large amounts of multi-sensor training data for machine learning
• Drive advanced MLOps practices, including model artifact management, experiment tracking, and automated model deployment and testing strategies
• Collaborate closely with cross-functional teams, perception experts, and roboticists to integrate ML pipelines and ensure the delivery of high-quality, production-ready software
• Mentor junior engineers and provide technical guidance to elevate the team's software development standards
Qualifications:
Required:
• Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, Robotics or a related field and 4+ years of relevant experience (or Master's degree and 2+ years of relevant experience, or PhD)
• Strong track record of successfully delivering complex software projects from conception to production
• Proven expertise in developing and optimizing machine learning data pipelines, data generation, and distributed model training
• Experience designing, building, and operating large-scale distributed systems and cloud infrastructure
• Strong proficiency in Python and/or C++ for developing high-performance, production-quality software
Preferred:
• Master's or PhD in Computer Science, Electrical Engineering, Robotics, or a closely related field
• Hands-on experience with distributed machine learning frameworks and tools such as Ray, PyTorch, Dagster, LakeFS, or PyArrow
• Experience with multi-sensor data fusion and processing techniques relevant to autonomous driving applications
• Familiarity with safety-critical software development principles in automotive or robotics domains
• Deep understanding of machine learning concepts, computer vision use cases, and the challenges of L2/L3 autonomy
Company:
Latitude AI is a wholly owned subsidiary of Ford Motor Company developing automated driving technologies. Founded in 2022, the company is headquartered in Pittsburgh, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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