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Arm Machine Learning Engineer Jobs (NOW HIRING)

About the role: We're looking for an early career Machine Learning Engineer to join our team. In this role you will build and deploy state of the art machine learning models to solve complex ...

Machine Learning Engineer

Seattle, WA · On-site

$120K - $180K/yr

The Role We are looking for a Machine Learning Engineer to bridge the gap between AI research and production-grade flight systems. You will optimize, deploy, and scale machine learning models that ...

We are looking for a Machine Learning Engineer to design, build, and deploy machine learning systems that improve the calibration, control, and operation of quantum processors. In this role, you will ...

Machine Learning Engineer We're looking for a talented and motivated Machine Learning Engineer to join our team and help develop cutting-edge AI solutions. In this role, you'll have the opportunity ...

Machine Learning Engineer Location: Fremont, CA (Local) Onsite interview Duration: 12+ Mos H1B Only h1 candidate About the Role: Our direct client is hiring a Machine Learning Engineer for their ...

Machine Learning Engineer

Sunrise, FL · On-site

$90K - $110K/yr

Role - Machine Learning Engineer Experience Required -8+ Years We are seeking a Machine Learning Engineer to design, build, and deploy Generative AI solutions powered by Large Language Models (LLMs)

Machine Learning Engineer LOCATION Chantilly, VA 20151 CLEARANCE TS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARY We are seeking a talented and innovative ...

About the Role We are seeking a skilled and innovative Machine Learning Engineer to join our team. This person will implement and develop machine learning models to enhance our platform ...

Company Description PatternAI is an automated machine learning platform that reveals critical patterns in data for narrow business problems. We're seeking an outstanding ML Engineer to join our data ...

Showing results 41-60

Arm Machine Learning Engineer information

See salary details

$31.5K

$128.8K

$193.5K

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

As of Sep 10, 2026, the average yearly pay for arm machine learning engineer in the United States is $128,769.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $155,000.00 per year, depending on experience, location, and employer.

What is an Arm machine learning engineer?

Arm Machine Learning Engineers are professionals who specialize in developing, optimizing, and deploying machine learning models on Arm-based hardware, such as CPUs, GPUs, and microcontrollers. They leverage Arm’s architecture and tools to ensure that AI applications run efficiently on a wide range of devices, from smartphones and IoT devices to servers. Their work often involves using frameworks like TensorFlow Lite and Arm NN, and may require knowledge of embedded systems, performance tuning, and model quantization. Arm Machine Learning Engineers play a critical role in bringing advanced AI capabilities to energy-efficient, edge computing platforms.

How does an Arm machine learning engineer typically collaborate with hardware and software teams during a project?

As an Arm Machine Learning Engineer, you will frequently work closely with both hardware and software teams to ensure that machine learning models are optimized for Arm-based architectures. This collaboration involves communicating model requirements, understanding hardware constraints, and iteratively refining algorithms for efficient deployment. It's common to participate in cross-functional meetings, share progress updates, and jointly troubleshoot performance bottlenecks. Strong teamwork and communication skills are essential, as successful projects often require balancing the needs and expertise of both hardware and software specialists.

What are the key skills and qualifications needed to thrive as an Arm machine learning engineer, and why are they important?

To excel as an Arm Machine Learning Engineer, you need a strong background in computer science, machine learning algorithms, and embedded systems, typically supported by a relevant degree. Familiarity with Arm architectures, programming languages like Python and C/C++, and frameworks such as TensorFlow Lite or Arm NN is essential, and certifications in embedded or AI technologies are advantageous. Strong problem-solving skills, attention to detail, and effective communication set candidates apart in this role. These competencies ensure efficient deployment of machine learning models on Arm devices, driving innovation and performance in edge computing applications.

What is the difference between Arm Machine Learning Engineer vs Arm Embedded Systems Engineer?

AspectArm Machine Learning EngineerArm Embedded Systems Engineer
Required CredentialsBachelor's/Master's in CS, EE; experience in ML frameworksBachelor's/Master's in EE, CS; embedded systems knowledge
Work EnvironmentResearch labs, AI development teams, software companiesHardware design, firmware development, IoT devices
Industry UsageAI/ML applications, data centers, mobile devicesConsumer electronics, automotive, IoT devices
Common Search/ComparisonYesNo

The Arm Machine Learning Engineer focuses on developing ML models optimized for Arm architectures, working primarily in AI and software environments. In contrast, the Arm Embedded Systems Engineer specializes in designing and implementing embedded hardware and firmware for devices using Arm processors. While both roles require knowledge of Arm technology, their focus areas and work environments differ significantly.

What are popular job titles related to Arm Machine Learning Engineer jobs?

For Arm Machine Learning Engineer jobs, the most frequently searched job titles are:

Infographic showing various Arm Machine Learning Engineer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 74% Full Time, 23% Part Time, and 1% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $128,769 per year, or $61.9 per hour.

Machine Learning Engineer

Annapolis Junction, MD • On-site

Cymertek Corporation
IT Services • 11 - 50 employees

Full-time

Re-posted 29 days ago


Job description

Job Summary:
Cymertek Corporation is seeking a talented and innovative Machine Learning Engineer to join their team. The role involves designing, developing, and deploying machine learning models to solve complex problems and improve decision-making processes.
Responsibilities:
• Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning)
• Ability to design, implement, and optimize machine learning models and workflows
• Experience working with large, complex datasets
• Knowledge of data preprocessing and feature engineering
• Familiarity with cloud-based platforms for machine learning (e.g., AWS, Google Cloud, Azure)
• Strong problem-solving skills and analytical thinking
Qualifications:
Required:
• Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning)
• Ability to design, implement, and optimize machine learning models and workflows
• Experience working with large, complex datasets
• Knowledge of data preprocessing and feature engineering
• Familiarity with cloud-based platforms for machine learning (e.g., AWS, Google Cloud, Azure)
• Strong problem-solving skills and analytical thinking
• Proficiency in programming languages (e.g., Python, R, Java)
• Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
• Expertise in model evaluation techniques and metrics
• Strong knowledge of version control tools (e.g., Git)
• Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau)
• Understanding of database technologies (e.g., SQL, NoSQL)
• Bachelor's Degree in Computer Science, Data Science, Artificial Intelligence, Mathematics, Statistics, Software Engineering, Electrical Engineering, Robotics, Computational Biology, Physics, etc.
Preferred:
• Experience with natural language processing (NLP)
• Knowledge of deep learning techniques (e.g., CNNs, RNNs)
• Familiarity with deployment tools (e.g., Docker, Kubernetes)
• Experience with data augmentation and synthetic data generation
• Ability to collaborate in cross-functional teams (e.g., engineers, product managers)
• Knowledge of edge computing and model optimization for deployment
Company:
With headquarters in Maryland, Cymertek [/'sī-mer-tek/] Corporation provides superior consulting services for the implementation of high quality information systems. Founded in 2010, the company is headquartered in Laurel, USA, with a team of 11-50 employees. The company is currently Early Stage.