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Mobile Machine Learning Jobs in Renton, WA (NOW HIRING)

LVT

Machine Learning Engineer

Seattle, WA · On-site

$150.50K - $208K/yr

Since pioneering our first mobile, solar-powered units, our commitment to scrappy, hands-on ... About This Role As a Machine Learning Engineer, you will play a critical role on a team of ...

Axon

Senior Machine Learning Scientist

Seattle, WA

$104.10K - $142.30K/yr

Your Impact We are seeking highly skilled and innovative Machine Learning Scientists to join our AI ... Experience in developing computer vision algorithms for resource-constrained devices such as mobile ...

Axon

Senior Machine Learning Scientist

Seattle, WA · On-site

$104.10K - $142.30K/yr

Your Impact We are seeking highly skilled and innovative Machine Learning Scientists to join our AI ... Experience in developing computer vision algorithms for resource-constrained devices such as mobile ...

Meta

Software Engineer, Machine Learning

Seattle, WA

$184K/yr

... mobile devices and web applications. Our teams are constantly pushing the boundaries of user ... Software Engineer, Machine Learning Responsibilities: * Collaborate with cross-functional teams ...

Meta

Software Engineer, Machine Learning

Bellevue, WA

$184K/yr

... mobile devices and web applications. Our teams are constantly pushing the boundaries of user ... Software Engineer, Machine Learning Responsibilities: * Collaborate with cross-functional teams ...

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How much do mobile machine learning jobs pay per hour?

As of May 30, 2026, the average hourly pay for mobile machine learning in Renton, WA is $28.49, according to ZipRecruiter salary data. Most workers in this role earn between $16.20 and $22.69 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Mobile Machine Learning Engineer, and why are they important?

To thrive as a Mobile Machine Learning Engineer, you need a solid background in computer science, machine learning, and mobile application development, often supported by a relevant degree and experience. Proficiency with ML frameworks (like TensorFlow Lite or Core ML), mobile platforms (Android/iOS), and deployment tools is typically required. Strong problem-solving skills, adaptability, and effective communication set standout professionals apart in this field. These skills are crucial for successfully developing, optimizing, and integrating machine learning models into efficient and user-friendly mobile applications.

What are some common challenges faced by Mobile Machine Learning engineers when deploying models on mobile devices?

Mobile Machine Learning engineers often encounter challenges related to limited computational resources and memory constraints on mobile devices. Optimizing models for efficient inference without significant loss in accuracy is a key hurdle, as is ensuring compatibility across different devices and operating systems. Additionally, balancing power consumption and real-time performance is critical, so engineers frequently collaborate with mobile app developers and hardware specialists to deliver seamless user experiences while maintaining model integrity.

What is mobile machine learning?

Mobile machine learning refers to the development and deployment of machine learning models on mobile devices such as smartphones and tablets. It enables apps to perform tasks like image recognition, language translation, and speech processing directly on the device without needing to send data to the cloud. This approach improves privacy, reduces latency, and can work even without an internet connection. Developers use frameworks like TensorFlow Lite, Core ML, and PyTorch Mobile to optimize models for the limited resources of mobile hardware.

What is the difference between Mobile Machine Learning vs Data Scientist?

AspectMobile Machine LearningData Scientist
Required CredentialsBachelor's in CS, ML, or related; experience with mobile platformsBachelor's or higher in CS, Statistics, or related; data analysis skills
Work EnvironmentMobile app development teams, on-device processingData analysis teams, research environments
Industry UsageMobile app companies, tech startupsFinance, healthcare, tech firms
Common Search/ComparisonYesYes

Mobile Machine Learning focuses on developing ML models optimized for mobile devices and integrating them into mobile apps. Data Scientists analyze large datasets to extract insights and build predictive models across various industries. While both roles require programming and ML knowledge, Mobile Machine Learning emphasizes on-device deployment and mobile platform expertise, whereas Data Scientists focus on data analysis and model development for broader applications.

What are the most commonly searched types of Machine Learning jobs in Renton, WA? The most popular types of Machine Learning jobs in Renton, WA are:
What job categories do people searching Mobile Machine Learning jobs in Renton, WA look for? The top searched job categories for Mobile Machine Learning jobs in Renton, WA are:
What cities near Renton, WA are hiring for Mobile Machine Learning jobs? Cities near Renton, WA with the most Mobile Machine Learning job openings:
Mobile Machine Learning jobs near you

Machine Learning Engineer

LVT

Seattle, WA • On-site

$150.50K - $208K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

ABOUT LVT
LVT is redefining how businesses operate in the physical world, moving beyond traditional security solutions to deliver AI-driven, actionable intelligence that makes sites smarter, safer, and more secure. Since pioneering our first mobile, solar-powered units, our commitment to scrappy, hands-on innovation has made us an established leader and one of the fastest-growing companies in intelligent site technology. We are building the next generation of solutions-from our physical units in the field to a powerful Agentic AI platform-that allows our customers to gain unprecedented visibility and control over safety, compliance, and operations. This is your chance to join a cutting-edge team that isn't just watching the world change, but actively building the technology that is changing it.
We're a team that's focused on growth and innovation, and we're proud that our crew, products, and leadership are being recognized for it.
  • A Top-Tier Growth Company: Named one of the Financial Times' Fastest Growing Companies 2025 and #10 on the Inc. 5000 Rocky Mountain Regional list for 2025.
  • Innovative Leadership: Our CEO, Ryan Porter, was named an EY Entrepreneur of the Year 2025, and our CTO, Steve Lindsey, was inducted into the Silicon Slopes CTO Hall of Fame in 2024.
  • Product & Software Excellence: We were named one of The Software Report's Top 100 Software Companies of 2023 and are a winner of the Security Today Govies Award for 2025.

About This Role
As a Machine Learning Engineer, you will play a critical role on a team of engineers that drive new CV, LLM, VLM, and Agentic AI development for LiveView Technologies. You will be responsible for designing and implementing ML systems for security and monitoring. Department leads will need your help to understand which problems are appropriate for ML, and to select the appropriate machine learning models for our business needs. Your recommendations will help guide us in design decisions that add significant value to the company. You will have an opportunity to impact the success of the business with ML, and in other areas of software engineering.
Job Responsibilities
  • Lead, design, implement, and improve ML and AI solutions leveraging CV, LLM's, VLM's, and Agentic AI
  • Explore and research new and emerging ML technologies for the company
  • Share insight into which types of problems are most appropriate for machine learning
  • Provide guidance on distributed training and data collection
  • Create solutions that are optimized to combine Edge IOT devices and Cloud Services
  • Work in a multidisciplinary team
  • Facilitate a culture of innovation, transparency, and clear communication
  • Write and review technical documents, including requirements and design documents

Qualifications
  • BS in computer science, electrical and computer engineering, or related field. MS is preferred, and PhD is a plus.
  • 3+ years of professional software development experience, including 2+ years creating and shipping production-level Machine Learning solutions.
  • 1+ years of experience specifically training and deploying solutions leveraging CV and/or Language Models (LLMs) or Vision-Language Models (VLMs).
  • Expert proficiency in one or more programming languages (e.g., Python, C/C++) and familiarity with open-source technologies.
  • Deep understanding and practical experience with supervised, unsupervised, and reinforcement learning methods for prediction and optimization.
  • Experience with ML frameworks such as PyTorch, including the ability to select the optimal model for business applications.
  • Experience with Neural Network and Transformer optimization (e.g., quantization, compression, distillation).
  • Solid experience with applied data science methods, data structures, and algorithms.
  • Expertise in ML training data collection, wrangling, and optimizing/tuning high-dimensionality data.
  • Experience with Linux/Unix environments and source control systems (Git).
  • Familiarity with cloud-based development platforms (e.g., AWS, Azure).
  • Ability to work independently on ambiguous problems while maintaining a highly collaborative, team-player attitude.
  • Excellent written and verbal communication skills for technical and cross-functional teams.

Desired
  • Experience with Agentic AI frameworks and protocols: Langchain, CrewAI, Microsoft Agent Framework, Anthropic's MCP, Google's A2A, etc.
  • Experience with reinforcement learning methods for prediction and optimization.
  • Experience with Container ecosystems (e.g., Docker, Kubernetes).
  • Experience in areas like search, ranking, computer vision, recommendation systems, or multi-modal/multi-sensor fusion.
  • Evidence of thought leadership (e.g., patents, published papers) and experience presenting/visualizing results to business audiences.

The beginning annual salary range for this role is $150,500.00 - $208,000.00 USD and is determined by location, job-related experience, and education/training. Your total earning potential is amplified by a bonus structure tied to meeting goals, and you will become an owner from day one through our employee equity program.
BENEFITS
We believe you do your best work when your whole life is supported. We invest in our crew's health, families, and financial futures with a benefits package designed to support you inside and outside the office. Full-time benefits include, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits (401k match up to 4%), and flexible PTO.
LVT IS PROUD TO BE AN EQUAL OPPORTUNITY EMPLOYER. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. All candidates must pass a drug screening and background check upon employment. Some roles may also require passing a federal background check and fingerprinting. Must be authorized to work in the U.S. If reasonable accommodation is needed to participate in the job application or interview process, and/or to perform essential job functions, please reach out to your recruiter.

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