ZipRecruiter

Log In

1

Arm Machine Learning Engineer Jobs (NOW HIRING)

Aston Carter

Machine Learning Engineer

Manhattan, NY · On-site

$125/hr

REMOTE Machine Learning Engineer This project-based consulting role invites an experienced Machine Learning Engineer to apply advanced analytical, statistical, and software engineering expertise to ...

AI Squared

Machine Learning Engineer

Washington, DC · On-site

Machine Learning Engineer Washington, DC (Hybrid) About the Role: We are seeking a highly skilled Machine Learning Engineer to join our core AI team. In this role, you will focus on deploying ...

Advatix Inc.

Machine Learning Engineer

San Mateo, CA · On-site

$110K - $165K/yr

Machine Learning Engineer / Research Engineer Pay: $$110,000 - $165,000 Base Salary + Equity Shift: N/A Location: San Mateo, CA (Peninsula) - Onsite Preferred Schedule: Full time, Permanent Role Visa ...

AI Squared

Machine Learning Engineer

Washington, DC · On-site

Machine Learning Engineer Washington, DC (Hybrid) About the Role: We are seeking a highly skilled Machine Learning Engineer to join our core AI team. In this role, you will focus on deploying ...

AI Squared

Machine Learning Engineer

Washington, DC · On-site

Machine Learning Engineer Washington, DC (Hybrid) About the Role: We are seeking a highly skilled Machine Learning Engineer to join our core AI team. In this role, you will focus on deploying ...

Tapestry

Machine Learning Engineer

Mountain View, CA · On-site

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 ...

Neuralink

Machine Learning Engineer

Austin, TX · On-site

... arm. Additionally, real-world data, such as video feeds, can be encoded into neural data to project ... About the Role: Engineers on the BCI team utilize signal processing and machine learning to ...

1 point system

Machine Learning Engineer

Fort Mill, SC · Remote

$48/hr

Job Title Machine Learning Engineer Location Remote Rate $48/hr on W2 Must Haves: Neaural networks NLP Python AZURE Pytorch or tensorflow Machine Learning Engineer / AI Engineer Role Role Overview ...

previous pagenext page

Showing results 21-40

All JobsTechnology JobsData JobsData Scientist JobsArm Machine Learning Engineer Jobs

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

Minneapolis, MN • On-site

Solution Design Group
IT Services • 201 - 500 employees
Learn more about Solution Design Groupexternal

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 4 days ago

Key responsibilities

  • Design, implement, and optimize machine learning algorithms and models to address specific business challenges.

  • Collaborate with data engineers to preprocess and transform raw data and conduct feature engineering for model training.

  • Deploy machine learning models into production environments and ensure their integration with existing systems.

Job description

SDG is a high-performance software community. We are a team of collaborative and creative consultants who build and deliver custom software for some of the most recognizable local and national brands. In this role, you will be asked to leverage your current skills while also learning new ones. Working in over 500 different technologies and continually learning together, you can expect a one-of-a-kind and award-winning work experience. Our team at SDG has exceptional integrity and the desire to create the best possible customer solutions. We are proud to partner with our customers to consistently provide a successful working relationship as a high-performance team.
We are adding a Machine Learning Engineer to our team! This person will play a key role in designing, implementing, and deploying machine learning models to solve complex problems and enhance our customer's products and services. You will be a part of a tight-knit technical community, giving you the opportunity to constantly grow your development amongst top technical talent. You will work closely with a cross-functional team of data scientists, software engineers, and domain experts to drive the development and deployment of machine learning solutions. SDG is looking for a hard worker with a team-oriented mindset, that has at least 3 years of experience and an in-depth understanding of machine learning and cloud data tools. A successful Machine Learning Engineer at SDG is a lifelong learner who is motivated to continually improve their craft and thrives amongst their fellow employee-owners.
SDG's Machine Learning Engineer's have proven experience with the following responsibilities. If you do too, we want to hear from you:
  • Design, implement, and optimize machine learning algorithms and models to address specific business challenges.
  • Collaborate with data engineers to preprocess and transform raw data into a format suitable for machine learning models. Conduct feature engineering to extract relevant information for model training.
  • Train, validate, and fine-tune machine learning models using state-of-the-art techniques. Evaluate model performance and iterate on models to improve accuracy and efficiency.
  • Deploy machine learning models into production environments and integrate them into existing systems. Collaborate with software engineers to ensure seamless integration with our products.
  • Stay abreast of the latest developments in machine learning and related fields. Proactively identify opportunities to enhance existing models and propose new approaches to solve business problems.

Requirements:
  • 3+ years of hands-on, professional machine learning development experience, delivering solutions in a large scale enterprise environment
  • Experience with Public Cloud Providers such as AWS and Microsoft Azure
  • Experience with AWS and/or Azure data tools and services
  • Demonstrated experience using AI-assisted development tools (e.g., Claude Code, Codex, GitHub Copilot) to increase development velocity, improve code quality, and support complex problem-solving
  • Strong understanding of data processing, data engineering, and data visualization.
  • Experience with SQL and NoSQL databases
  • Proficient in programming languages such as Python and R
  • Familiarity with big data technologies such as Apache Spark
  • Experience with Machine Learning frameworks such as TensorFlow or PyTorch
  • Ability to work effectively in a collaborative, cross-functional team environment. Excellent communication skills and the ability to explain complex concepts to both technical and non-technical stakeholders.
  • Strong analytical and problem-solving skills. Proven ability to tackle complex problems and deliver robust machine learning solutions.
  • Prior consulting or professional services experience is a bonus
  • Education degree or certification in Computer Science, or the equivalent related work experience

What's in it for you?
  • Full-time salaried consultant position
  • A true stake in success. SDG is an ESOP - 100% employee owned
  • Star Tribune Top Workplace winner the last 7 consecutive years
  • National Top Workplace in 2023, 2024 & 2025
  • Engaged teammates who care about quality solutions
  • Challenging and rewarding work with great customers
  • Various opportunities to give back to the community
  • Be amongst some of the best technologists in the industry
  • Dedicated to our core values of superior customer service, exceptional employee experience, and responsible corporate citizenship
  • Opportunities to connect with other SDGer's via internal communities, committees, and events - virtually and in person

SDG is proud to offer an array of benefits for our employees including but not limited to medical, dental, and vision insurance benefits, paid time off, paid holidays, short and long-term disability, life insurance options, a monthly technology reimbursement allowance, 401k, birth and non-birth parent leave, ESOP, trainings and certifications, and company-owned cabins. Fair and equitable compensation is important to us. The salary range for this opportunity is $130,000 - $170,000. The offer may fall outside this range given factors such as skills and experience. The salary range is subject to change and may be modified at any time.
Applicants must be authorized to work for ANY employer in the United States. We are unable to sponsor or take over sponsorship of an employment Visa at this time.
#LI-AS1
#LI-Hybrid
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Apply