1

Machine Learning Engineer Jobs in Roanoke, VA (NOW HIRING)

Mechanical Engineering Intern

Blacksburg, VA · On-site

$16.50 - $22.25/hr

Collect and analyze data related to machine performance, downtime, scrap, and maintenance ... Demonstrates integrity, accountability, teamwork, and a continuous learning mindset * Shows ...

... machine dynamics, and advanced engineering coursework. * Conceptual Teaching & Problem-Solving ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

Statics Tutor

Blacksburg, VA · Remote

$18 - $40/hr

... machine design, and construction engineering. * Curriculum Awareness & Adaptive Instruction ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

Statics Tutor

Salem, VA · Remote

$18 - $40/hr

... machine design, and construction engineering. * Curriculum Awareness & Adaptive Instruction ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

Statics and Dynamics Tutor

Salem, VA · Remote

$18 - $40/hr

... machine dynamics, and advanced engineering coursework. * Conceptual Teaching & Problem-Solving ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

PLC programming and troubleshooting experience * Welding, electrical circuitry, mechanical machine repair If you are interested in learning more, please apply to this posting.

... datasets and machine learning approaches to identify FDA approved drugs that target key ... engineers. The candidate, one of six new postdoctoral fellows to be hired within the newly NSF ...

Performs routine engineering activity with minimum direction from higher-level employees. Follows policies, practices, standards and rules of the company and those regulations and procedures required ...

Learning & Development Opportunities * Inclusive and Diverse Team Environment Benefits may vary for ... engineering experience with specific knowledge of machinery, electricity, electronics, plumbing ...

Showing results 41-60

Machine Learning Engineer information

See Roanoke, VA salary details

$30.9K

$126.4K

$189.9K

How much do machine learning engineer jobs pay per year?

As of Aug 6, 2026, the average yearly pay for machine learning engineer in Roanoke, VA is $126,357.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,600.00 and $152,100.00 per year, depending on experience, location, and employer.

What is a machine learning engineer?

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 cities near Roanoke, VA are hiring for Machine Learning Engineer jobs? Cities near Roanoke, VA with the most Machine Learning Engineer job openings:
Infographic showing various Machine Learning Engineer job openings in Roanoke, VA as of August 2026, with employment types broken down into 77% Full Time, and 23% Contract. Highlights an 74% In-person, and 26% Remote job distribution, with an average salary of $126,357 per year, or $60.7 per hour.

Safety Statistician, III - Risk & Safety Analysis

Torc Robotics

Blacksburg, VA

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 12 days ago


Job description

About the Company 

At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business. 

A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners.Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight. 

Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer. 

Meet the Team 

As a Safety Statistician - Risk & Safety Analysis, you will play a critical role in how Torc evaluates, communicates, and makes decisions about the safety of its autonomous driving systems. 

You will influence the design and execution of statistically rigorous analyses that inform safety assurance strategies, engineering priorities, and risk-based decision making. Your work will directly influence how safety performance and risk are measured, understood, and acted upon across the organization. 

This is a technical role focused on applied statistics and decision support, not dashboarding, experimentation platforms, or generic ML product analytics. 

What You'll Do 

  • Employ statistically sound analyses to answer high-impact safety and regulatory questions, including how system performance translates to risk 
  • Apply statistical methods to quantify and assess risk using a variety of data sources including large-scale time-series data (e.g., vehicle and sensor data) and structured safety datasets 
  • Bridge safety and engineering teams by translating complex analyses into information engineers can act on 
  • Develop automated, production-ready analysis workflows that support continuous safety monitoring 
  • Select and defend appropriate statistical approaches for sparse, noisy, or rare-event data, applying Bayesian and frequentist methods and leveraging machine learning techniques where appropriate 
  • Communicate statistically defensible findings to technical leaders, safety stakeholders, and executives 

What You'll Need to Succeed 

  • Advanced degree in Statistics or a closely related field 
  • M.S. with 3+ years of experience, or 
  • PhD with 1+ years of experience 
  • Strong background in applied statistics, safety analysis, and risk estimation 
  • Experience in autonomous vehicles, adjacent safety-critical domains (automotive, aerospace, defense, robotics, rail, etc.), or comparable actuarial experience 
  • Experience working with complex, real-world datasets rather than clean or purely academic data 
  • Hands-on experience using Python for analysis (SQL and/or R a plus, but not required) 
  • Ability to communicate statistical concepts clearly to non-statistical audiences 
  • Comfort operating independently as a technical leader in a cross-functional, distributed environment 
  • Domain knowledge in Bayesian methods 

Bonus Points 

  • Experience applying Bayesian methods to estimate risk using disparate data sources (such as simulations and naturalistic driving) 
  • Background applying statistics to engineering or physics-based systems 
  • Familiarity with time-series analysis, uncertainty quantification, or rare-event modeling 
  • Experience supporting executive or external stakeholder decision-making requiring quick turnarounds, balancing analytical rigor with timeliness 

Perks of Being a Full-time Torc'r 

Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers: 

  • A competitive compensation package that includes a bonus component and stock options 
  • 100% paid medical, dental, and vision premiums for full-time employees 
  • 401K plan with a 6% employer match 
  • Flexibility in schedule and generous paid vacation (availableimmediately after start date) 
  • Company-wide holiday office closures 
  • AD+D and Life Insurance 

At Torc, we're committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc'rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities. 

Even if you don't meet 100% of the qualifications listed for this opportunity, we encourage you to apply. 

Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience.Torc's total compensation package will also include our corporate bonus and stock option plan.Dependenton the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. 

Job ID: R-102792Â