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Remote Machine Learning Engineer Jobs in Aliquippa, PA

AI Solutions Architect

Pittsburgh, PA ยท Remote

$61.25 - $80.50/hr

Remote (candidates in the Dallas, TX or Pittsburgh, PA areas strongly preferred) Compensation ... applications, and machine learning pipelines, aligned to client business objectives. * Lead ...

Data Science Tutor

Pittsburgh, PA ยท Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Clear written communication; you'll document metrics for both engineers and business stakeholders ... machine learning, deep learning, or model building, this is not it. We have ML work on the team ...

Sr. Data Engineer (Snowflake)

Pittsburgh, PA ยท Remote

$117K - $140K/yr

Our team consists of highly motivated individuals who are passionate about learning, understanding ... Remote work from home. * Hours of work and days are generally Monday through Friday. Specific ...

Sr. Data Engineer (Snowflake)

Pittsburgh, PA ยท On-site +1

$111K - $133K/yr

Our team consists of highly motivated individuals who are passionate about learning, understanding ... Remote work from home. * Hours of work and days are generally Monday through Friday. Specific ...

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

Python Tutor

Pittsburgh, PA ยท Remote

$18 - $40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Research Engineer, World Models

Pittsburgh, PA ยท On-site +1

$155K - $269K/yr

As a Research Engineer in the World Models team, you will develop algorithms and productionize the ... You have a Master's degree in Computer Vision, Machine Learning, Robotics, or a related field, or ...

Research Engineer, World Models

Pittsburgh, PA ยท On-site +1

$155K - $269K/yr

As a Research Engineer in the World Models team, you will develop algorithms and productionize the ... You have a Master's degree in Computer Vision, Machine Learning, Robotics, or a related field, or ...

Showing results 41-60

Remote Machine Learning Engineer information

See Aliquippa, PA salary details

$29.7K

$121.3K

$182.3K

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

As of Aug 22, 2026, the average yearly pay for remote machine learning engineer in Aliquippa, PA is $121,329.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,600.00 and $146,000.00 per year, depending on experience, location, and employer.

What is a remote machine learning engineer?

A Remote Machine Learning Engineer designs, develops, and deploys machine learning models while working from a remote location. They preprocess data, train and optimize models, and integrate them into production systems. Their role often involves collaborating with data scientists, software engineers, and stakeholders to solve complex problems using AI. Strong programming skills in Python, experience with ML frameworks like TensorFlow or PyTorch, and cloud computing knowledge are essential. Remote ML engineers must also communicate effectively and manage their time efficiently to work asynchronously with teams.

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

To thrive as a Remote Machine Learning Engineer, you need a strong background in computer science, mathematics, and experience with machine learning algorithms, typically supported by a relevant degree and prior project work. Proficiency with programming languages like Python, machine learning frameworks such as TensorFlow or PyTorch, and familiarity with cloud computing platforms is crucial, and certifications like AWS Certified Machine Learning can enhance your profile. Excellent communication, self-motivation, and time-management skills are also essential for collaborating across remote teams and meeting project goals. These combined technical and soft skills are vital for developing effective machine learning solutions while ensuring productivity and collaboration in a virtual work environment.

What are some typical challenges faced by remote machine learning engineers, and how are they addressed?

Remote Machine Learning Engineers often face challenges such as coordinating across different time zones, ensuring smooth communication with team members, and accessing large datasets or secure environments remotely. Organizations commonly address these by using robust collaboration tools (like Slack, GitHub, and Jira), establishing clear documentation, and setting regular virtual meetings to maintain alignment. Many companies also provide secure remote environments or VPN access for handling sensitive data and code. Proactive communication and organized workflows help mitigate these challenges, enabling engineers to remain productive and connected to their teams.

Are remote machine learning engineers still in demand?

Remote machine learning engineers are currently in high demand due to the growth of AI and data-driven technologies across industries. Skills in programming, data analysis, and familiarity with tools like Python, TensorFlow, or PyTorch are highly sought after, and many companies continue to hire for remote roles in this field.

Can remote machine learning engineers work remotely?

Yes, remote machine learning engineers can work remotely, as many companies offer flexible work arrangements for this role. The position typically involves tasks such as data analysis, model development, and collaboration through online tools, making remote work feasible with strong communication skills and proficiency in programming languages like Python or frameworks like TensorFlow. However, some roles may require occasional on-site meetings or access to specialized hardware.

What cities near Aliquippa, PA are hiring for Remote Machine Learning Engineer jobs?

Cities near Aliquippa, PA with the most Remote Machine Learning Engineer job openings:

Infographic showing various Remote Machine Learning Engineer job openings in Aliquippa, PA as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 23% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $121,329 per year, or $58.3 per hour.

Junior AI Developer - Remote / Telecommute

CYNET SYSTEMS

Pittsburgh, PA โ€ข Remote

$33 - $55/hr

Contractor

Medical, Dental, Vision, Life, Retirement

Posted 11 days ago


Job description

Job Overview:

Pay Range $33.48hr - $55.81hr

Requirement/Must Have:

  • Bachelor's degree in Data Science, Computer Science, Software Engineering, or a related field.
  • 1+ years of experience with Python.
  • 1+ years of experience with JavaScript or TypeScript.
  • Understanding of SQL and relational database concepts.
  • Understanding of REST APIs.
  • Familiarity with object-oriented programming and basic software design principles.
  • Exposure to machine learning concepts.
  • Strong desire to learn enterprise AI platforms, cloud environments, and modern development practices.
  • Collaborative and communicative.

Responsibilities:

  • Learn and contribute to development on the C3.AI platform, including working with the C3 Type System, data modeling, and building application components.
  • Participate in the development, testing, and deployment of AI and ML models across C3.AI and other platforms used by the team.
  • Write Python and JavaScript/TypeScript code to support data pipelines, application logic, REST APIs, and AI service integrations.
  • Assist in building and maintaining data pipelines that ingest, transform, and deliver data from enterprise and industrial sources.
  • Support the development of AI-powered features and tools that surface insights to business users and operational teams.
  • Collaborate with senior engineers, data scientists, and business stakeholders to understand requirements and translate them into working solutions.
  • Contribute to cloud-based development work across platforms such as AWS, Azure, or GCP as project needs require.
  • Participate in code reviews, testing, and documentation to uphold quality standards and support team knowledge sharing.
  • Continuously build your skills through hands-on project work, mentorship, and engagement with both C3.AI and broader AI/ML tooling.

Nice to Have:

  • Hands-on exposure to C3.AI or similar enterprise AI/ML platforms.
  • Familiarity with ML libraries or frameworks such as scikit-learn, TensorFlow, or PyTorch.
  • Experience with or academic knowledge of cloud platforms such as AWS, Azure, or GCP.
  • Exposure to data engineering concepts.
  • Experience with version control using Git and basic familiarity with CI/CD concepts.
  • Familiarity with Databricks, Spark, or similar big data processing tools.
  • Coursework or project work involving time-series data, IoT data, or industrial datasets.
  • Interest in manufacturing, industrial operations, or IoT domains.
  • Prior internship, co-op, or project experience in a software development or data-focused role.

Benefits
 
Our Benefits Include:
  • Medical, Dental, and Vision Insurance
  • 401(k) Retirement Plan
  • Health Savings Account (HSA)
  • Disability Insurance (Short-Term and Long-Term)
  • Life and AD&D Insurance
  • Paid Sick Leave (where required by applicable state or local law)
  • Supplemental Insurance Plans
  • Identity Theft Protection
  • Pet Insurance
  • Employee Wellness Programs
  • Employee Assistance Program (EAP)
  • Career Growth and Professional Development Opportunities
Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws.

About Cynet Systems

Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia.
As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.

Cynet Systems logo

About Cynet Systems

Sourced by ZipRecruiter

Cynet Systems Inc is a staffing and recruiting corporation nestled in Ashburn, VA, USA. Established in 2010, the company operates within the Information Technology and Services sector, specializing in providing effective workforce solutions to different business needs, including IT consulting, direct hire, and contract staffing services. Through the years, Cynet Systems has built an impressive portfolio, going beyond borders and expanding its operations internationally in Canada and India. Rooted in its core values of teamwork, leadership, and commitment, Cynet Systems helps businesses unlock their full potential by providing versatile and competent professionals that perfectly align with their needs. Fueled by their unwavering mission to deliver top-tier talent to businesses worldwide, Cynet Systems garnered various recognitions including SIA's fastest-growing staffing firms and Best Place to Work in Virginia for 2019.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Sterling, VA, US

Year founded

2010

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