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Remote Autonomous Systems Jobs (NOW HIRING)

Avride

Machine Learning Engineer

Austin, TX · On-site

We design and deploy state-of-the-art models to address key challenges in autonomous systems ... The employer is not offering relocation sponsorship, and remote work options are not available.

Mercor

Network Specialist - Fully Remote

New York, NY · Remote

$50 - $70/hr

Network Engineer - Data for Autonomous Systems annotation Type: Contract Compensation: $50-$70/hour Location: Remote Commitment: 30-40 hours/week Role Responsibilities * Review real-world data from ...

Uber

Lead Product Manager Remote Assistance

Seattle, WA · Remote

Uber is building the systems, infrastructure, and operating models needed to help autonomy partners deploy commercially and serve riders at scale. As Uber expands support for remote assistance across ...

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Remote Autonomous Systems information

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$46K

$102.1K

$153K

How much do remote autonomous systems jobs pay per year?

As of Jun 24, 2026, the average yearly pay for remote autonomous systems in the United States is $102,067.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,000.00 and $125,000.00 per year, depending on experience, location, and employer.

What is the difference between Remote Autonomous Systems vs Remote Robotics Engineers?

AspectRemote Autonomous SystemsRemote Robotics Engineers
Required credentialsBachelor's or higher in engineering, computer science, or related fields; experience with AI, machine learning, and control systemsBachelor's or higher in robotics, mechanical, electrical engineering; proficiency in programming and hardware integration
Work environmentDesigning, testing, and deploying autonomous systems remotely, often in industries like defense, transportation, or agricultureDeveloping robotic hardware/software remotely, often in research labs or industrial settings
Employer and industry usageTech companies, defense contractors, transportation firmsRobotics startups, manufacturing, research institutions

Remote Autonomous Systems professionals focus on creating and managing autonomous technologies remotely, often involving AI and control systems. Remote Robotics Engineers develop robotic hardware and software remotely, emphasizing hardware integration and mechanical design. While both roles require engineering expertise and often overlap in AI and automation, their primary focus and industry applications differ.

More about Remote Autonomous Systems jobs
What cities are hiring for Remote Autonomous Systems jobs? Cities with the most Remote Autonomous Systems job openings:
What are the most commonly searched types of Autonomous Systems jobs? The most popular types of Autonomous Systems jobs are:
What states have the most Remote Autonomous Systems jobs? States with the most job openings for Remote Autonomous Systems jobs include:
What job categories do people searching Remote Autonomous Systems jobs look for? The top searched job categories for Remote Autonomous Systems jobs are:
Remote Autonomous Systems jobs near you
Infographic showing various Remote Autonomous Systems job openings in the United States as of June 2026, with employment types broken down into 65% Full Time, 9% Part Time, and 26% Contract. Highlights an 100% Remote job distribution, with an average salary of $102,067 per year, or $49.1 per hour.

Machine Learning Engineer

Avride

Austin, TX • On-site

Full-time

Posted 22 hours ago

Job description

About the team
Avride develops autonomous vehicle and delivery robot technology, leveraging deep expertise in autonomous systems. With the recent launch of our robotaxi service in Dallas, we are accelerating innovation and redefining the future of mobility.
Our team builds self-driving solutions from the ground up, with machine learning at the core of our development pipeline to enable safe and intelligent navigation. We design and deploy state-of-the-art models to address key challenges in autonomous systems, utilizing advanced deep learning architectures such as Convolutional Neural Networks (CNNs), Transformers, and Multimodal Large Language Models (MLLMs). These models power both onboard and offboard applications, ensuring robust and efficient operation. Your work will directly contribute to enhancing the performance, safety, and reliability of Avride's autonomous vehicles and delivery robots.
About the role
We are looking for an experienced Machine Learning Engineer with a strong background in developing and deploying modern machine learning solutions for complex real-world challenges. In this role, you will conduct experiments, manage large-scale datasets, and implement deep learning models tailored for autonomous systems.
You will utilize cloud platforms, orchestration tools, and machine learning frameworks to develop scalable and efficient solutions. Additionally, you will analyze the latest research, assess the applicability of emerging deep learning techniques, and drive innovation in autonomous vehicle technology.
What you'll do
  • Develop and Optimize Machine Learning Models: Design, implement, and refine deep learning models to ensure efficiency, scalability, and robustness. This may include developing models for understanding a self-driving vehicle's surroundings or predicting the intentions of other road users.
  • Curate and Manage Large-Scale Datasets: Oversee data collection, preprocessing, and augmentation to maintain high-quality datasets for training and evaluation.
  • Enhance and Maintain Training Pipelines: Develop efficient workflows for training, validation, and testing, incorporating distributed training, hyperparameter tuning, and automated monitoring.
  • Improve Model Deployment and Efficiency: Optimize inference performance, model compression, and deployment across various hardware platforms.
  • Explore and Apply Cutting-Edge ML Techniques: Stay up to date with advancements in deep learning and experiment with novel approaches to improve model performance.
  • Collaborate with Cross-Functional Teams: Work closely with researchers, software engineers, and robotics experts to integrate machine learning solutions into real-world autonomous systems.
What you'll need
  • Strong understanding of fundamental machine learning algorithms and neural network techniques.
  • Expertise in at least one modern machine learning domain, such as computer vision, large language models, or generative AI.
  • At least three years of experience developing neural network-based algorithms, including data collection, training, and deployment.
  • Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, or JAX, along with PySpark, NumPy, and SciPy.
  • Working knowledge of C++ and SQL.
  • Ability to quickly absorb new concepts by reviewing research papers, technical reports, and documentation.
  • Strong collaboration and communication skills, with the ability to align technical work with business objectives and drive results.
Nice to have
  • Advanced degree in Computer Science, Machine Learning, Robotics, or a related field.
  • Experience developing ML algorithms for autonomous vehicles or robotics applications.
  • Familiarity with neural network deployment and optimization tools such as triton, TensorRT, or similar frameworks.
  • Proven ability to set and achieve mid- and long-term goals, prioritize tasks, and meet deadlines independently.
  • Experience working in cross-functional teams within a multidisciplinary environment.
  • Publications in top-tier ML conferences or contributions to patent applications or ML-related open-source projects.

Candidates are required to be authorized to work in the U.S. The employer is not offering relocation sponsorship, and remote work options are not available.
Avride is an equal opportunity employer and committed to providing reasonable accommodations to qualified applicants and employees with disabilities to ensure they have equal access to employment opportunities. Avride complies with the Americans with Disabilities Act (ADA), if you need a reasonable accommodation to assist with the application or hiring process, or to perform the essential functions of a job, please email jobs@avride.ai.

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