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Remote Machine Learning Engineer Jobs in Killington, VT

Remote Machine Learning Engineer information

See Killington, VT salary details

$32.2K

$131.8K

$198.1K

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

As of Jul 14, 2026, the average yearly pay for remote machine learning engineer in Killington, VT is $131,831.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,900.00 and $158,700.00 per year, depending on experience, location, and employer.

What engineers make $300,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning, and proficiency with tools like TensorFlow or PyTorch can earn $300,000 or more annually. High compensation often reflects expertise, leadership roles, or working in competitive industries such as tech or finance, especially in organizations valuing AI development.

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 engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning, and proficiency with tools like TensorFlow or PyTorch can earn $500,000 or more annually, especially in high-cost-of-living areas or within top tech companies. Compensation often includes base salary, bonuses, and stock options, reflecting their expertise and impact on business outcomes.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and deploy AI models, and their role is unlikely to be fully replaced by AI itself. Instead, AI tools can augment their work by automating routine tasks, allowing MLEs to focus on complex problem-solving, model optimization, and system integration. Continuous learning and expertise in programming, data handling, and model evaluation remain essential for MLEs in an evolving AI landscape.

What are the key skills and qualifications needed to thrive in the Remote Machine Learning Engineer position, and why are they important?

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 job?

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.

Can ML engineers work remotely?

Yes, many machine learning engineers work remotely, especially in roles that involve programming, data analysis, and model development using tools like Python, TensorFlow, or PyTorch. Remote work arrangements depend on the employer's policies and the specific project requirements, but it is common in the tech industry for ML engineers to work from home or other locations.
What cities near Killington, VT are hiring for Remote Machine Learning Engineer jobs? Cities near Killington, VT with the most Remote Machine Learning Engineer job openings:
Senior CAM Software Engineer

Senior CAM Software Engineer

Concepts NREC

White River Junction, VT • On-site, Remote

$100K - $130K/yr

Other

Posted 22 days ago


Job description

Description

Position Type: Full Time Salary

Work Model: Remote


POSITION SUMMARY

The Senior CAM Software Engineer leads the development and enhancement of computer-aided manufacturing (CAM) software used to produce complex turbomachinery components. This role blends deep software engineering expertise with manufacturing knowledge, enabling high-performance, precision machining solutions.


You will play a key role in developing the product and collaborating with both software and manufacturing teams to deliver robust solutions.


KEY RESPONSIBILITIES

Software Development & Architecture

  • Design, develop, and maintain CAM software features
  • Lead system design and architecture decisions
  • Implement user interface elements 
  • Write high-performance, maintainable code

CAM & Manufacturing Integration

  • Develop toolpath programming functions for multi-axis CNC machining
  • Optimize user efficiency and experience
  • Integrate various internal and 3rd party components
  • Collaborate with manufacturing engineers to validate and refine outputs
  • Interface the product with internal and external manufacturing operations

Technical Leadership

  • Mentor junior engineers and contribute to team development
  • Promote best practices in software development
  • Drive continuous improvement in software performance and usability

Cross-Functional Collaboration

  • Partner with product management to define requirements and roadmap priorities
  • Work closely with turbomachinery design and manufacturing teams
  • Support customer-facing teams with technical expertise as needed

Innovation & Continuous Improvement

  • Research and implement new technologies in CAM, automation, and simulation
  • Contribute to long-term product strategy and differentiation

Requirements

QUALIFICATIONS

Required

  • Bachelor's or Master's degree in Computer Science, Mechanical Engineering, or related field
  • 5+ years of software development experience, preferably in CAM or CAD/CAM systems
  • Strong programming skills in C++ and Python
  • Experience with geometric modeling, computational geometry, or 3D algorithms
  • Solid understanding of CNC machining processes

Preferred

  • Experience with multi-axis (4- or 5-axis) machining
  • Background in turbomachinery or complex rotating equipment
  • Familiarity with CAD/CAM platforms/kernels
  • Knowledge of toolpath optimization and simulation
  • Experience working in Agile or iterative development environments

Key Competencies

  • Deep technical expertise and problem-solving ability
  • Strong collaboration across software and manufacturing teams
  • Attention to detail and commitment to quality
  • Ability to translate complex engineering challenges into software solutions
  • Innovative mindset with a focus on continuous improvement

The compensation range posted represents the full salary range for the role. Actual pay will be determined based on a candidate's experience, skills, and the position level ultimately offered.