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Machine Learning Engineer Jobs in California, PA

Demoind

Machine Learning

California, PA · On-site

PYTHON, ANALYSIS RoleMachine Learning Engineer Industry TypeIT Services & Consulting Functional AreaData Science & Analytics Employment TypeFull Time, Permanent Role CategoryData Science & Machine ...

SMC Region USC

Regulatory Engineer

Brier Hill, PA

We offer competitive wages and benefits , strong support for learning and professional development ... Reviews spare parts recommendations and develop accuracy of Machine Life Operating Costs (MLOC ...

Alstom

Methods Engineer

West Mifflin, PA · On-site

Could you be the full-time onsite Methods Engineer in West Mifflin, PA (Pittsburgh area) we're ... Benefit from our investment in your development, through award-winning learning, * Benefit from a ...

Alstom

Methods Engineer

West Mifflin, PA · On-site

Could you be the full-time onsite Methods Engineer in West Mifflin, PA (Pittsburgh area) we're ... Benefit from our investment in your development, through award-winning learning, * Benefit from a ...

Alstom

Methods Engineer

West Mifflin, PA

Could you be the full-time onsite Methods Engineer in West Mifflin, PA (Pittsburgh area) we're ... Benefit from our investment in your development, through award-winning learning, * Benefit from a ...

Nemacolin

Maintenance Tech

Farmington, PA · On-site

Inspect, operate, and test machinery and equipment in order to diagnose machine malfunctions ... Hands-on learning and cross-department opportunities * Clear pathways for advancement and internal ...

ALSTOM

Senior Software Engineer

West Mifflin, PA · Hybrid

$113K - $150K/yr

Could you be the full-time hybrid Senior Software Engineer in Pittsburgh, PA, US we're looking for ... A continuous learning mindset to stay updated on new technologies and best practices. Things you'll ...

Alstom

Senior Software Engineer

Pittsburgh, PA · On-site

$113K - $149K/yr

Could you be the full-time hybrid Senior Software Engineer in Pittsburgh, PA, US we're looking for ... A continuous learning mindset to stay updated on new technologies and best practices. Things you'll ...

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All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in California, PA

Machine Learning Engineer information

See California, PA salary details

$27.6K

$112.7K

$169.4K

How much do machine learning engineer jobs pay per year?

As of Jun 10, 2026, the average yearly pay for machine learning engineer in California, PA is $112,745.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,900.00 and $135,700.00 per year, depending on experience, location, and employer.

What are Machine Learning Engineers?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer, and why are they important?

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

What Does a Machine Learning Engineer Do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

What are some common challenges faced by Machine Learning Engineers when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

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

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

What jobs make $3,000 a month without a degree?

A Machine Learning Engineer typically requires a degree, but roles such as data annotator, technical support specialist, or freelance programmer can sometimes earn around $3,000 monthly without a formal degree, especially with relevant skills and experience. These jobs often involve self-taught skills, online certifications, or on-the-job training and may require proficiency in tools like Python or cloud platforms.
More about Machine Learning Engineer jobs
What job categories do people searching Machine Learning Engineer jobs in California, PA look for? The top searched job categories for Machine Learning Engineer jobs in California, PA are:
What cities near California, PA are hiring for Machine Learning Engineer jobs? Cities near California, PA with the most Machine Learning Engineer job openings:
Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in California, PA as of June 2026, with employment types broken down into 97% Full Time, and 3% Part Time. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $112,745 per year, or $54.2 per hour.

Machine Learning

Demoind

California, PA • On-site

Other

Posted 23 days ago

Job description

Overview:
Job description
Job Responsibilities :
- Use of cutting edge data mining, machine learning techniques for building advanced recommender systems, knowledge management, and insight generation.
- Understand business challenges and goals to formulate the approach for data analysis and model creation that will support business decision making.
- Take analytical objectives and define data requirements in terms of size, format, and cleansing needs for purposes of analysis, modelingsegmentation and reporting.
- Research on innovative technologies to come up .
- Interpret, document and presentcommunicate analytical results to multiple business disciplines, providing conclusions and recommendations based on customer-centric data.
- Building intelligent systems leveraging the vast amount of available userbehavior data to enrich the end-user experience
Job Requirements :
- Masters- (with 4+ years of experience) Or Ph.D. (with 0 - 2 years of experience) in a relevant field such as Probability, Statistics, Machine Learning, Data Mining, Artificial intelligence Computer Science.
- Experience with building data analytics models via supervised and unsupervised machine learning, statistical analysis, and predictive modeling techniques.
- Understanding of statistical modelingmachine learning data mining concepts and strong analytical and quantitative problem-solving ability.
- Strong background and experience in using R, SAS, MATLAB or equivalent statisticaldata analysis tools and technologies is a must.
- Hands-on skills in using techniques such as Parametric and Non-Parametric Regression models.
Skills : PYTHON, ANALYSIS
RoleMachine Learning Engineer
Industry TypeIT Services & Consulting
Functional AreaData Science & Analytics
Employment TypeFull Time, Permanent
Role CategoryData Science & Machine Learning
Education
UG :B.Sc in Any Specialization, BCA in Any Specialization, B.Tech/B.E. in Any Specialization
PG :M.Tech in Computers, MS/M.Sc(Science) in Computers, Statistics, MCA in Computers, M.A in Statistics
Doctorate :Ph.D/Doctorate in Statistics, Computers
Key Skills
Machine Learning
R, SAS,Artificial Intelligence,MATLAB,Python
Skills:
MACHINE LEARNING,MATLAB,ARTIFICIAL INTELLIGENCE,SAS,PYTHON,R,DATA MINING

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