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Remote Machine Learning Engineer Jobs in Renton, WA

Moloco

Senior Applied Scientist - Moloco Ads

Seattle, WA · On-site +1

$104K - $142K/yr

The Research Science (RS) team focuses on the operation and optimization of our software systems working closely with infrastructure engineering teams, machine learning teams and data science teams.

Porch.com, Inc.

Head of Data Science

Seattle, WA · On-site +1

You will build and guide a high-performing team of data scientists and machine learning engineers ... Remote positions: Alaska, Delaware, Hawaii, Mississippi, Nebraska, Montana, New Hampshire, West ...

Porch.com, Inc.

Head of Data Science

Seattle, WA · On-site +1

You will build and guide a high-performing team of data scientists and machine learning engineers ... Remote positions: Alaska, Delaware, Hawaii, Mississippi, Nebraska, Montana, New Hampshire, West ...

Truveta

ML PhD Intern - LLMs & Generative AI

Seattle, WA · Remote

... remote Who We Need We are seeking a highly motivated and talented Machine Learning PhD Intern to ... Collaborate with researchers and engineers to design, develop, and refine large language models and ...

Aquent

Software Development Engineer 1

Redmond, WA · On-site +1

$39 - $44/hr

Contributing to projects involving machine learning models and data science activities. * Engaging ... Strong software engineering skills, including proficiency in coding and development. * Basic ...

Wsgr

Innovations and AI Solutions Engineer

Seattle, WA · On-site +1

This position is available as a hybrid or remote work schedule. Essential Duties, Responsibilities ... Design, build and implement machine learning models, including the development of AI Models and ...

Meta

Software Engineer, Systems ML

Bellevue, WA

$183K/yr

Meta is seeking a Research Engineer specializing in Systems Machine Learning to help design and build the infrastructure and algorithmic foundations that power large-scale AI systems across Meta ...

Nintendo

Engineer (NTD)

Redmond, WA · On-site +1

Significant experience with modern machine learning, frameworks, and Python. * Practical experience ... This position is onsite in Redmond, WA, and not open to remote status at this time.

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Remote Machine Learning Engineer information

See Renton, WA salary details

$35.4K

$144.8K

$217.7K

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

As of Jul 9, 2026, the average yearly pay for remote machine learning engineer in Renton, WA is $144,843.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,200.00 and $174,300.00 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 are the most commonly searched types of Machine Learning Engineer jobs in Renton, WA? The most popular types of Machine Learning Engineer jobs in Renton, WA are:
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What job categories do people searching Remote Machine Learning Engineer jobs in Renton, WA look for? The top searched job categories for Remote Machine Learning Engineer jobs in Renton, WA are:
What cities near Renton, WA are hiring for Remote Machine Learning Engineer jobs? Cities near Renton, WA with the most Remote Machine Learning Engineer job openings:
Remote Machine Learning Engineer jobs near you
Senior Computer Vision and Machine Learning Research Scientist

Senior Computer Vision and Machine Learning Research Scientist

Axon

Seattle, WA • On-site, Remote

$112K - $142K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 24 days ago

Axon rating

8.8

Company rating: 8.8 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

8th of 141 rated electronics manufacturers

Job description

Your Impact

We are seeking a skilled and innovative Senior Research Scientist to join one of our AI teams focusing on computer vision and machine learning (CVML). As a research scientist at Axon you will play a crucial role in developing AI solutions that transform both the enterprise and public safety domains and support our company's mission: accelerate justice, protect truth, and save lives. You will advance the state-of-the-art in CVML and multimodal technology and apply your research findings to create new responsible AI capabilities for Axon products. You will collaborate with product managers, engineers and cross-functional teams to train models and develop cutting-edge algorithms and solutions that enable intelligent perception and understanding of visual data.

At Axon, we Aim Far. We think big with a long-term view because we want to reinvent the world to be a safer, better place. If you're excited about this role and our mission to Protect Life but your experience doesn't align perfectly with every qualification listed here, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

What You'll Do

Reports to: Director of AI Research
Location: This role is based out of our Seattle, WA office and follows a hybrid schedule. We rely on in-person collaboration and ask that team members work onsite Tuesdays through Fridays, with the flexibility to work remotely on Mondays, unless there is an approved workplace accommodation. We believe that connection fuels innovation, and our in-office culture is designed to foster meaningful teamwork, mentorship, and shared success.

  • Collaborate with other scientists, engineers and product managers to build proof-of-concepts to shape the Axon of tomorrow.
  • Lead end-to-end research efforts in advanced computer vision, machine learning and gen-AI techniques for cloud and devices from multimodal data sources, including scene understanding, action recognition and anomaly detection.
  • Design and implement responsible, privacy-preserving, efficient and scalable models for inference and analysis of visual data.
  • Develop performance and quality metrics for CVML models and systems, and validate their effectiveness in real-world settings.
  • Optimize algorithms for performance, memory footprint, and energy efficiency to meet the requirements of resource-constrained devices.
  • Stay up-to-date with the latest research and advances in CVML and translate relevant findings into shipping Axon products.
  • Contribute to academic publications, technical documentation, and patent disclosures to share insights and findings with the broader community.
  • Coach and mentor junior scientists.

What You Bring

  • PhD and 3+ years experience in Computer Science or a related field with a focus on computer vision, machine learning, artificial intelligence or related technical fields.
  • Proven track record of research in machine learning, computer vision or related fields.
  • Experience driving the ML development lifecycle and leveraging state-of-the-art research to deliver high quality models at scale.
  • Strong computer vision fundamentals such as image processing, feature extractions, object detection, semantic segmentation, video analysis or action recognition.
  • Excellent problem-solving skills, analytical thinking, and the ability to work independently as well as collaboratively in a team environment.
  • Proficiency in Python and frameworks such as PyTorch, TensorFlow or Keras.
  • Strong communication skills and the ability to effectively present complex technical concepts to both technical and non-technical audiences.
  • Experience in developing computer vision algorithms for resource-constrained edge devices or embedded systems preferred but optional.
Benefits that Benefit You
  • Competitive salary and 401k with employer match
  • Discretionary paid time off
  • Paid parental leave for all
  • Medical, Dental, Vision plans
  • Fitness Programs
  • Emotional & Mental Wellness support
  • Learning & Development programs
  • And yes, we have snacks in our offices

Benefits listed herein may vary depending on the nature of your employment and the location where you work

#LI-Hybrid

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