ZipRecruiter

Log In

2

Remote Machine Learning Engineer Jobs in Blacksburg, VA

Varsity Tutors

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 ...

Varsity Tutors

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 ...

Varsity Tutors

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 ...

Varsity Tutors

Statics and Dynamics Tutor

Blacksburg, 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 ...

Hitachi

Application Developer

Bland, VA · Remote

... Remote: No Are you passionate about building innovative digital solutions that create real business ... Benefit from continuous learning opportunities, career development programs, and the chance to grow ...

previous page

Showing results 21-33

All JobsMachine Learning Engineer JobsRemote Machine Learning Engineer JobsRemote Machine Learning Engineer Jobs in Blacksburg, VA

Remote Machine Learning Engineer information

See Blacksburg, VA salary details

$27.6K

$113K

$169.7K

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

As of Aug 7, 2026, the average yearly pay for remote machine learning engineer in Blacksburg, VA is $112,958.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,000.00 and $136,000.00 per year, depending on experience, location, and employer.

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.

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 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 most commonly searched types of Machine Learning Engineer jobs in Blacksburg, VA? The most popular types of Machine Learning Engineer jobs in Blacksburg, VA are:
What are popular job titles related to Remote Machine Learning Engineer jobs in Blacksburg, VA? For Remote Machine Learning Engineer jobs in Blacksburg, VA, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning Engineer jobs in Blacksburg, VA look for? The top searched job categories for Remote Machine Learning Engineer jobs in Blacksburg, VA are:
What cities near Blacksburg, VA are hiring for Remote Machine Learning Engineer jobs? Cities near Blacksburg, VA 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 Blacksburg, VA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $112,958 per year, or $54.3 per hour.

Safety Statistician, III - Risk & Safety Analysis

Torc Robotics

Blacksburg, VA • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 13 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 (available immediately 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. Dependent on 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-102792
Hiring Range for Job Opening
US Pay Range
$145,900-$175,100 USD

Apply