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Remote Google Machine Learning Engineer Jobs in Clymer, PA

Java Open Source Contributor

Indiana, PA ยท Remote

$46.50 - $60.25/hr

Remote Scope of Work: * Contribute production-quality code, reviews, and documentation to open ... Familiarity with modern AI or machine learning systems is a plus, though not required. * Background ...

Data Engineer

Home, PA ยท On-site +1

$102K - $122K/yr

... Machine Learning applications. The Data Engineer, as a key member of the Enterprise Data and ... Analytics team, provides technical leadership for the definition, design, and delivery of First ...

United States (Remote) Interested applicants must reside in one of the following approved states ... and machine learning enablement * Promote architectural patterns that enable resilience ...

AVP, Strategic Analysts

Home, PA ยท Remote

$83K - $104K/yr

... machine learning (AI/ML) and algorithmic-based actions. We aim to continue scaling these efforts to ... Computer Science, Engineering, Data Analytics, or equivalentexperience #LI-LH1 #LI-REMOTE For ...

AVP, Strategic Analysts

Home, PA ยท Remote

$83K - $104K/yr

... machine learning (AI/ML) and algorithmic-based actions. We aim to continue scaling these efforts to ... Computer Science, Engineering, Data Analytics, or equivalentexperience #LI-LH1 #LI-REMOTE For ...

Remote Summary of Position: The Technical Account Manager (TAM) is responsible for delivering ... disciplines, aka AI/Machine Learning, Network/OS administration, programming, Database ...

Participate in ongoing learning activities * Demonstrate the Parlance solution elements and value ... This position is full-time and can be remote within the contiguous US. Come join us in transforming ...

Participate in ongoing learning activities * Demonstrate the Parlance solution elements and value ... This position is full-time and can be remote within the contiguous US. Come join us in transforming ...

Junior Software Engineer

Ferndale, PA ยท On-site +1

$75K - $95K/yr

This position is remote, and consideration will be given to those near the Philadelphia office or ... Take advantage of continuous learning opportunities and avenues for career growth. * Inclusion:

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Remote Google Machine Learning Engineer information

See Clymer, PA salary details

$27.7K

$113.3K

$170.2K

How much do remote google machine learning engineer jobs pay per year?

As of Aug 10, 2026, the average yearly pay for remote google machine learning engineer in Clymer, PA is $113,280.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,300.00 and $136,400.00 per year, depending on experience, location, and employer.

What is a remote Google machine learning engineer?

A Remote Google Machine Learning Engineer is a professional who designs, builds, and deploys machine learning models and artificial intelligence solutions, often using Google Cloud technologies, while working from a remote location. These engineers collaborate with cross-functional teams to solve complex business problems, optimize data pipelines, and improve model performance. Their responsibilities typically include data preprocessing, model selection, training, evaluation, and deployment, all while ensuring scalability and security. Working remotely allows them to contribute to projects from anywhere, leveraging cloud-based tools and collaboration platforms.

What are the key skills and qualifications needed to thrive as a remote Google machine learning engineer?

To thrive as a Remote Google Machine Learning Engineer, you need a strong background in computer science, mathematics, and machine learning algorithms, typically supported by a relevant degree and experience in building scalable models. Proficiency with tools such as TensorFlow, Python, Google Cloud Platform (GCP), and familiarity with distributed systems is essential. Excellent problem-solving, communication, and self-management skills are crucial for effective remote collaboration and innovation. These capabilities enable engineers to deliver impactful machine learning solutions while seamlessly integrating with global Google teams.

How do remote Google machine learning engineers typically collaborate with cross-functional teams while working from different locations?

Remote Google Machine Learning Engineers often use a combination of video conferencing, cloud-based collaboration tools, and shared code repositories to work closely with data scientists, product managers, and software engineers. Regular stand-up meetings, sprint planning sessions, and detailed documentation help ensure everyone is aligned and project milestones are met. Despite being remote, engineers are encouraged to proactively communicate progress, share insights, and participate in code reviews to maintain a strong team dynamic and drive successful project outcomes.
What cities near Clymer, PA are hiring for Remote Google Machine Learning Engineer jobs? Cities near Clymer, PA with the most Remote Google Machine Learning Engineer job openings:

Senior Data Science Engineer Specialist - Data Scientist (Remote)

Concurrent Technologies Corporation

Johnstown, PA โ€ข Remote

Full-time

Re-posted yesterday


Job description

SR DATA SCIENCE ENGINEER SPEC-DATA SCIENTIST

Concurrent Technologies Corporation

Johnstown, PA or Telecommute

Minimum Clearance Required: N/A

Clearance Level Must Be Able to Obtain: N/A

Employee Background Check Required


Concurrent Technologies Corporation (CTC) an independent, nonprofit applied scientific research and development organization. Is seeking a Sr. Data Science Engineer Spec-Data Scientist, you'll be part of the internal Information Technology team that keeps CTC's business operations running efficiently. Supporting employees across the organization, you'll contribute to a collaborative, customer-focused environment where technology enables engineers, researchers, and business professionals to accomplish their mission. CTC values teamwork, innovation, continuous learning, and exceptional customer service, providing opportunities to expand your technical skills while building a rewarding career with an organization dedicated to making a meaningful impact.

Key Responsibilities:

  • Collaborate with business leaders to identify high-impact business problems and translate them into data science and data analysis projects.
  • Collect, process, and analyze complex datasets from various sources to identify trends, patterns, and insights that inform business strategy.
  • Develop and implement predictive models and machine learning algorithms to solve business problems, such as forecasting, customer segmentation, and optimization.
  • Develop and maintain detailed, compelling dashboards and reports for both technical and non-technical audiences using business intelligence (BI) tools.
  • Perform exploratory data analysis (EDA) and statistical analysis to uncover patterns, trends, and anomalies.
  • Create clear, compelling, and actionable data visualizations and reports to communicate complex findings to both technical and non-technical audiences.
  • Design and execute A/B tests and other experiments to measure the impact of different initiatives.
  • Work with data engineers to build and improve data pipelines, ensuring data quality and accessibility.


Basic Qualifications:

  • Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Computer Science, or Economics.
  • 35 years of hands-on experience in a Data Scientist or Senior Data Analyst role.
  • Programming: Strong proficiency in Python (including libraries like Pandas, NumPy, and Scikit-learn), SQL, and PySpark.
  • Statistics and ML: Solid understanding of statistical analysis, data mining techniques, and machine learning algorithms (e.g., classification, regression, clustering, and decision trees).
  • Communication: Excellent verbal and written communication skills with the ability to tell a story with data.
  • Problem-Solving: Proven ability to approach complex problems with a structured, analytical, and inquisitive mindset.


Preferred Qualifications:

  • Experience with cloud-based data platforms (e.g., AWS, Azure, GCP).
  • Experience with big data technologies (e.g., Spark, Hadoop).
  • Experience with data visualization and analysis tools (e.g., Tableau, Power BI, Matplotlib, R, SAS).
  • Experience with natural language processing (NLP) or other forms of text analysis.
  • Knowledge of experimental design and causal inference techniques.
  • Experience in research & development, government contracting, and/or highly regulated industry domains.


Why CTC?

  • Our teams at CTC are passionate and thrive on collaboration in a team environment.
  • When we encounter a difficult problem, we have a variety of talented and diverse employees that work together to solve the toughest challenges.
  • Competitive salary and benefits package.
  • Although our work at CTC is extremely important, we also recognize the need for our employees to maintain a proper mix of work and personal life.
  • Visit www.ctc.com to learn more!


Join us! CTC offers exceptional career growth, cutting edge technology, educational opportunities, and recognition for quality work.

https://concurrent-technologies-corporation.breezy.hr/

Staffing Requisition: SR#2026-0087

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability status, protected veteran status, or any other characteristic protected by law.