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Remote Machine Learning Engineer Jobs in Weirton, WV

CEI

AI Solutions Architect

Pittsburgh, PA · 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 ...

Varsity Tutors

Data Science Tutor

Pittsburgh, PA · 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 ...

Innovu, LLC

Analytics Engineer

Pittsburgh, PA · Remote

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 ...

Varsity Tutors

Python Tutor

Pittsburgh, PA · 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 ...

Waabi

Research Engineer, World Models

Pittsburgh, PA · 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 ...

Epistemix

Data Scientist

Pittsburgh, PA · Remote

Follow advancements in data science, machine learning, and healthcare analytics Qualifications ... We are fully remote, with team members in the United States and Europe. Benefits include: * Equity ...

Waabi

Research Engineer, World Models

Pittsburgh, PA · 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 ...

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Showing results 41-60

All JobsMachine Learning Engineer JobsRemote Machine Learning Engineer JobsRemote Machine Learning Engineer Jobs in Weirton, WV

Remote Machine Learning Engineer information

See Weirton, WV salary details

$30.7K

$125.7K

$188.9K

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

As of Aug 18, 2026, the average yearly pay for remote machine learning engineer in Weirton, WV is $125,700.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,100.00 and $151,300.00 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 Weirton, WV are hiring for Remote Machine Learning Engineer jobs?

Cities near Weirton, WV with the most Remote Machine Learning Engineer job openings:

Remote Machine Learning Engineer jobs near you
Infographic showing various Remote Machine Learning Engineer job openings in Weirton, WV as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 25% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $125,700 per year, or $60.4 per hour.

Applications Engineering, Staff Engineer - 16420

Synopsys

Canonsburg, PA • On-site, Remote

$112K/yr

Full-time

Re-posted 6 days ago

Job description

General Information
Job Title
Applications Engineering, Staff Engineer
Job ID
16420
City
Canonsburg
State/Province
Pennsylvania
Date Posted
16-Mar-2026
Job Category
Engineering
Job Subcategory
Applications Engineering
Hire Type
Employee
Remote Eligible
Yes
Base Salary Range: $112000 - $168000
Descriptions & Requirements
Job Description and Requirements
We Are:
At Synopsys, we drive the innovations that shape the way we live and connect. Our technology is central to the Era of Pervasive Intelligence, from self-driving cars to learning machines. We lead in chip design, verification, and IP integration, empowering the creation of high-performance silicon chips and software content. Join us to transform the future through continuous technological innovation.
This position can be remote anywhere in the US.
You Are:
As a seasoned engineering professional with a passion for digital transformation, you thrive in environments where technology, data, and innovation intersect. You bring a wealth of experience in engineering software, technical consulting, and materials information management, making you a trusted advisor to both customers and colleagues. Your deep understanding of product development processes empowers you to bridge complex technical challenges with actionable solutions. You are adept at translating intricate data flows and integration requirements into clear recommendations, whether you're speaking with hands-on engineers or senior leaders. Your communication skills are exceptional-capable of delivering persuasive workshops, insightful presentations, and consultative engagements that drive adoption and best practices.
You are highly organized and self-driven, managing multiple priorities with ease in dynamic, fast-paced environments. Your curiosity and forward-thinking mindset propel you to continuously seek improvement, staying ahead of industry trends and nurturing a culture of learning. As a mentor, you elevate your team, sharing knowledge and fostering collaboration. Your analytical prowess allows you to balance tactical execution with strategic vision, ensuring that materials information becomes a core enabler of engineering excellence. Above all, you are committed to building trust and credibility, delivering measurable outcomes that strengthen customer relationships and advance Synopsys' leadership in digital engineering.
What You'll Be Doing:
  • Act as a senior contributor and subject-matter expert for Material Information Management (MIM) within customer and internal engagements.
  • Support and guide customers through the implementation, integration, and adoption of materials data management platforms across engineering environments.
  • Collaborate with engineering, IT, and product development teams to integrate materials data with PLM, CAE, and other enterprise systems.
  • Translate complex technical and data challenges into clear recommendations for both hands-on engineers and senior leadership.
  • Deliver technical workshops, demonstrations, and presentations that build confidence and drive adoption of best practices.
  • Partner with product management and development teams to influence product roadmap, interoperability, and usability based on real-world customer needs.
  • Mentor less-experienced colleagues and contribute to internal best practices, knowledge-sharing, and continuous improvement initiatives.
The Impact You Will Have:
  • Enable customers to scale and standardize materials data management across their organization.
  • Reduce engineering risk and inefficiency by improving data quality, traceability, and accessibility.
  • Help organizations accelerate innovation by connecting materials data to simulation, qualification, and design decision-making.
  • Drive the strategic positioning of materials information as a core enabler of digital engineering transformation.
  • Strengthen long-term customer relationships through trust, credibility, and measurable technical outcomes.
  • Contribute to the continuous improvement of Synopsys' materials information management offerings, ensuring competitive advantage and customer success.
What You'll Need:
  • 5+ years of relevant experience in engineering, engineering software, or technical consulting roles.
  • Strong understanding of product development processes and how data flows across the engineering lifecycle.
  • Hands-on experience or deep familiarity with Material Information Management (MIM) or enterprise materials data management.
  • Experience in engineering data management, PLM integration, or digital engineering workflows.
  • Working knowledge of database systems and data modeling concepts.
  • Experience with API-based integrations and software implementation or deployment projects.
  • Familiarity with CAE, PLM, or materials data management platforms.
  • Strong analytical and problem-solving skills with the ability to think both tactically and strategically.
  • Exposure to agile or iterative project delivery methodologies is a plus.
Who You Are:
  • A trusted, consultative partner who can engage confidently with engineers, architects, and senior stakeholders.
  • An excellent communicator who can explain complex concepts clearly and persuasively.
  • Self-driven, highly organized, and comfortable managing multiple priorities in dynamic environments.
  • Curious and forward-thinking, with a passion for digital transformation and continuous improvement.
  • A mentor and role model who elevates team capability and contributes to a strong learning culture.
The Team You'll Be A Part Of:
You'll join a collaborative group of applications engineers, technical consultants, and product specialists dedicated to advancing materials information management within Synopsys and its customers. The team is focused on delivering high-impact solutions, driving digital engineering transformation, and shaping the future of materials data integration. Together, you'll partner across engineering, IT, and product development to deliver innovative, scalable, and best-in-class offerings that empower organizations to unlock new levels of efficiency and innovation.
Rewards and Benefits:
We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.
At Synopsys, we want talented people of every background to feel valued and supported to do their best work. Synopsys considers all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, age, military veteran status, or disability.
In addition to the base salary, this role may be eligible for an annual bonus, equity, and other discretionary bonuses. Synopsys offers comprehensive health, wellness, and financial benefits as part of a competitive total rewards package. The actual compensation offered will be based on a number of job-related factors, including location, skills, experience, and education. Your recruiter can share more specific details on the total rewards package upon request. The base salary range for this role is across the U.S.
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About Synopsys

Sourced by ZipRecruiter

Synopsys, Inc. (Nasdaq:SNPS) is the Silicon to Software partner for creative companies developing the electronic products and software applications we rely on every single day. As the world's 15th largest software company, Synopsys has a long history of being a global leader in electronic design automation (EDA) and semiconductor IP and is also growing its leadership in software quality and security solutions. Whether you're a system-on-chip (SoC) designer building advanced semiconductors, or a software developer writing applications that require the highest quality and security, Synopsys has the solutions needed to deliver exceptional, secure products for the era of connected everything. The company is headquartered in Mountain View, California, and has approximately 113 offices located throughout North America, South America, Europe, Japan, Asia and India. Since 1986, Synopsys has been at the heart of accelerating electronics innovation with engineers around the world having used Synopsys technology to successfully design and create billions of chips and systems that are found in the electronics that people rely on every single day.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

Mountain View, CA, US

Year founded

1986

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