They are seeking a skilled Machine Learning Engineer to build and deploy production ML systems for ... Spear AI develops AI-powered software and hardware for maritime operations. Founded in 2021, the ...
They are seeking a skilled Machine Learning Engineer to build and deploy production ML systems for ... Spear AI develops AI-powered software and hardware for maritime operations. Founded in 2021, the ...
Machine Learning Scientist
San Francisco, CA · On-site
$180K - $270K/yr
About the role As a Machine Learning Scientist , you will develop cutting-edge AI models to ... Iterate rapidly on model prototypes for real-time inference on custom hardware. * Create and ...
Machine Learning Scientist
San Francisco, CA · On-site
$180K - $270K/yr
About the role As a Machine Learning Scientist , you will develop cutting-edge AI models to ... Iterate rapidly on model prototypes for real-time inference on custom hardware. * Create and ...
Machine Learning Engineer
Austin, TX · On-site
$199K - $331K/yr
Neuralink designs all hardware in-house, from custom ASICs to thin-film arrays. There is no part of the technical design that cannot change. Learnings from your work will directly influence next ...
Machine Learning Engineer
Austin, TX · On-site
$199K - $331K/yr
Neuralink designs all hardware in-house, from custom ASICs to thin-film arrays. There is no part of the technical design that cannot change. Learnings from your work will directly influence next ...
Machine Learning Scientist
San Francisco, CA · On-site
$180K - $270K/yr
As a Machine Learning Scientist, you will develop cutting‑edge AI models to integrate and decode ... Iterate rapidly on model prototypes for real‑time inference on custom hardware. * Create and ...
Machine Learning Scientist
San Francisco, CA · On-site
$180K - $270K/yr
As a Machine Learning Scientist, you will develop cutting‑edge AI models to integrate and decode ... Iterate rapidly on model prototypes for real‑time inference on custom hardware. * Create and ...
Help design and prune CNN architectures to fit hardware constraints (fixed input shapes, 8-bit ... Machine Learning, or a related field, with hands-on experience in deep learning for audio or speech ...
New
Quick apply
Help design and prune CNN architectures to fit hardware constraints (fixed input shapes, 8-bit ... Machine Learning, or a related field, with hands-on experience in deep learning for audio or speech ...
New
Machine Learning Architect
Boston, MA · On-site
Work with hardware engineers to define and refine processor architecture based on insights learned through model training and experimentation. * Maintain a deep curiosity about what makes machine ...
Machine Learning Architect
Boston, MA · On-site
Work with hardware engineers to define and refine processor architecture based on insights learned through model training and experimentation. * Maintain a deep curiosity about what makes machine ...
Machine Learning Architect
Boston, MA · On-site
Work with hardware engineers to define and refine processor architecture based on insights learned through model training and experimentation. * Maintain a deep curiosity about what makes machine ...
Quick apply
Machine Learning Architect
Boston, MA · On-site
Work with hardware engineers to define and refine processor architecture based on insights learned through model training and experimentation. * Maintain a deep curiosity about what makes machine ...
Help design and prune CNN architectures to fit hardware constraints (fixed input shapes, 8-bit ... Machine Learning, or a related field, with hands-on experience in deep learning for audio or speech ...
New
Help design and prune CNN architectures to fit hardware constraints (fixed input shapes, 8-bit ... Machine Learning, or a related field, with hands-on experience in deep learning for audio or speech ...
New
Neuralink designs all hardware in-house, from custom ASICs to thin-film arrays. There is no part of the technical design that cannot change. Learnings from your work will directly influence next ...
Neuralink designs all hardware in-house, from custom ASICs to thin-film arrays. There is no part of the technical design that cannot change. Learnings from your work will directly influence next ...
Machine Learning Engineer
Sunnyvale, CA · On-site
The Machine Learning Engineer will be responsible for developing and implementing innovative ... hardware, network, or service operations and quality. • Contribute to research papers and ...
Machine Learning Engineer
Sunnyvale, CA · On-site
The Machine Learning Engineer will be responsible for developing and implementing innovative ... hardware, network, or service operations and quality. • Contribute to research papers and ...
Help design and prune CNN architectures to fit hardware constraints (fixed input shapes, 8-bit ... Machine Learning, or a related field, with hands-on experience in deep learning for audio or speech ...
New
Help design and prune CNN architectures to fit hardware constraints (fixed input shapes, 8-bit ... Machine Learning, or a related field, with hands-on experience in deep learning for audio or speech ...
New
Machine Learning Engineer
Sunnyvale, CA · On-site
... hardware, network, or service operations and quality. • Contribute to research papers and ... with Machine Learning (ML) models, ML infrastructure, Natural Language Processing or Computer ...
Machine Learning Engineer
Sunnyvale, CA · On-site
... hardware, network, or service operations and quality. • Contribute to research papers and ... with Machine Learning (ML) models, ML infrastructure, Natural Language Processing or Computer ...
Machine Learning Engineer
Burlington, MA · Remote
$165K - $200K/yr
Experience with embedded systems, GPUs, NPUs, FPGAs, or hardware acceleration. * Familiarity withMLOps, CI/CD, model monitoring, and large-scale production systems. At MatrixSpace, Machine Learning ...
Quick apply
Machine Learning Engineer
Burlington, MA · Remote
$165K - $200K/yr
Experience with embedded systems, GPUs, NPUs, FPGAs, or hardware acceleration. * Familiarity withMLOps, CI/CD, model monitoring, and large-scale production systems. At MatrixSpace, Machine Learning ...
$250/hr
## Werkstudent AI/Machine Learning (m/w/d)Applylocations: Leutkirch Werk 1time type: Part timeposted ... Du erhältst von uns moderne Hardware für die Erstellung Deiner Arbeit.* Du bekommst ein ...
$250/hr
## Werkstudent AI/Machine Learning (m/w/d)Applylocations: Leutkirch Werk 1time type: Part timeposted ... Du erhältst von uns moderne Hardware für die Erstellung Deiner Arbeit.* Du bekommst ein ...
Machine Learning Internship, Manipulation Department : Robotics Software Engineering Employment ... hardware that has touched the stars, worked miles below the surface of the ocean, and even roamed ...
Machine Learning Internship, Manipulation Department : Robotics Software Engineering Employment ... hardware that has touched the stars, worked miles below the surface of the ocean, and even roamed ...
If you're passionate about pushing the boundaries of AI and hardware optimization, we want you to join our team! As a Machine Learning Compiler Engineer on the Apple Neural Engine (ANE) team, you'll ...
If you're passionate about pushing the boundaries of AI and hardware optimization, we want you to join our team! As a Machine Learning Compiler Engineer on the Apple Neural Engine (ANE) team, you'll ...
Sr. Signal Integrity / Power Integrity Engineer, Annapurna Labs, Machine Learning Hardware
Austin, TX · On-site
$109K - $146K/yr
... machine learning ASICs As a senior member of our hardware team, you will have a meaningful opportunity to participate in the design and execution of all SI related topics, with the goal of creating ...
Sr. Signal Integrity / Power Integrity Engineer, Annapurna Labs, Machine Learning Hardware
Austin, TX · On-site
$109K - $146K/yr
... machine learning ASICs As a senior member of our hardware team, you will have a meaningful opportunity to participate in the design and execution of all SI related topics, with the goal of creating ...
Sr. Signal Integrity / Power Integrity Engineer, Annapurna Labs, Machine Learning Hardware
Austin, TX · On-site
$109K - $146K/yr
... machine learning ASICs. As a senior member of our hardware team, you will have a meaningful opportunity to participate in the design and execution of all SI related topics, with the goal of creating ...
Sr. Signal Integrity / Power Integrity Engineer, Annapurna Labs, Machine Learning Hardware
Austin, TX · On-site
$109K - $146K/yr
... machine learning ASICs. As a senior member of our hardware team, you will have a meaningful opportunity to participate in the design and execution of all SI related topics, with the goal of creating ...
Machine Learning Engineer
Sunnyvale, CA · On-site
$150K - $450K/yr
... on hardware, network, or service operations and quality. * Contribute to research papers and ... with Machine Learning (ML) models, ML infrastructure, Natural Language Processing or Computer ...
Machine Learning Engineer
Sunnyvale, CA · On-site
$150K - $450K/yr
... on hardware, network, or service operations and quality. * Contribute to research papers and ... with Machine Learning (ML) models, ML infrastructure, Natural Language Processing or Computer ...
They are seeking a skilled Machine Learning Engineer to build and deploy production ML systems for ... Spear AI develops AI-powered software and hardware for maritime operations. Founded in 2021, the ...
They are seeking a skilled Machine Learning Engineer to build and deploy production ML systems for ... Spear AI develops AI-powered software and hardware for maritime operations. Founded in 2021, the ...
Machine Learning Hardware information
See salary details
$12.26 - $15.52
9% of jobs
$17.67 is the 25th percentile. Wages below this are outliers.
$15.52 - $18.77
25% of jobs
The median wage is $21.58 / hr.
$18.77 - $22.03
19% of jobs
$22.03 - $25.28
18% of jobs
$26.39 is the 75th percentile. Wages above this are outliers.
$25.28 - $28.54
12% of jobs
$28.54 - $31.80
10% of jobs
$31.80 - $35.05
6% of jobs
$35.05 - $38.31
1% of jobs
$38.31 - $41.56
0% of jobs
$41.56 - $44.82
0% of jobs
$44.82 - $48.08
0% of jobs
$12
$24
$48
How much do machine learning hardware jobs pay per hour?
As of Sep 11, 2026, the average hourly pay for machine learning hardware in the United States is $24.59, according to ZipRecruiter salary data. Most workers in this role earn between $17.55 and $27.88 per hour, depending on experience, location, and employer.
What is a machine learning hardware?
A Machine Learning Hardware job involves designing, optimizing, and developing specialized hardware to accelerate machine learning workloads. Professionals in this field work on hardware architectures like GPUs, TPUs, FPGAs, and custom accelerators to improve efficiency, performance, and power consumption. They collaborate with software engineers and data scientists to optimize hardware-software co-design. This role requires expertise in computer architecture, parallel computing, and low-level programming.
What are the typical day-to-day responsibilities for a machine learning hardware engineer?
As a Machine Learning Hardware engineer, your daily tasks often include collaborating with data scientists and software engineers to understand computational requirements, designing and prototyping hardware accelerators, and optimizing existing architectures for improved performance and efficiency. You might work with simulation tools to model new designs, validate hardware functionality, and troubleshoot issues during integration. The role typically involves both independent technical work and teamwork across hardware and AI/ML departments. This position requires keeping up to date with emerging technologies to ensure your solutions remain cutting-edge and competitive in the fast-evolving landscape of artificial intelligence.
What are the key skills and qualifications needed to thrive in the machine learning hardware position, and why are they important?
To thrive in Machine Learning Hardware, you need a solid background in computer engineering, digital design, and machine learning principles, often supported by a degree in electrical engineering, computer engineering, or a related field. Familiarity with hardware description languages (such as VHDL or Verilog), simulation tools, FPGA/ASIC development platforms, and possibly certifications in hardware design or ML accelerators is valuable. Collaboration, problem-solving, and the ability to communicate complex technical ideas effectively are essential soft skills. These skills enable you to design and optimize specialized hardware solutions that accelerate machine learning workloads and foster interdepartmental innovation.
More about Machine Learning Hardware jobs
What cities are hiring for Machine Learning Hardware jobs?
Cities with the most Machine Learning Hardware job openings:
What are the most commonly searched types of Machine Learning Hardware jobs?
The most popular types of Machine Learning Hardware jobs are:
What are popular job titles for Machine Learning Hardware?
Popular job titles for Machine Learning Hardware:
Machine Learning Engineer
Remote
Spear AI
• Guided Missile and Space Vehicle Manufacturing • 11 - 50 employees11 - 50 employees
Full-time
Re-posted 11 days ago
Job description
Job Summary:
Spear AI is a growing defense contracting company dedicated to delivering cutting-edge solutions that support our nation's security. They are seeking a skilled Machine Learning Engineer to build and deploy production ML systems for their data management and artificial intelligence platform for maritime domain awareness.
Responsibilities:
• Design, train, and optimize machine learning models using PyTorch
• Deploy models to production environments in the cloud and at the edge
• Build and maintain ML pipelines for training, evaluation, and inference
• Integrate machine learning models into real-time and batch processing systems
• Optimize model performance for accuracy, latency, and resource constraints
• Implement model monitoring, versioning, and deployment strategies
• Work with signal processing data and time-series analysis
• Improve local development and CI/CD for ML workflows using modern tooling and GitHub Actions
Qualifications:
Required:
• Several years of experience with Python and machine learning frameworks
• Expertise in PyTorch for building and training neural networks
• Experience training and serving models in cloud environments (AWS, Azure, GCP)
• Proficiency with MLOps practices including experiment tracking, model versioning, and deployment
• Experience with model optimization for production performance and scale
• Knowledge of Docker and Kubernetes for containerized deployments
• Familiarity with REST APIs and model serving frameworks
• Understanding of CI/CD pipelines for ML systems
• Strong fundamentals in machine learning including model architecture design, training strategies, and evaluation
Preferred:
• Experience with reinforcement learning algorithms and applications
• Digital signal processing experience
• Background in time-series analysis or sensor data processing
• Experience with edge deployment and model optimization for resource-constrained environments
• Familiarity with distributed training across multiple GPUs/nodes
• Experience with model compression techniques (quantization, pruning, distillation)
• Contributions to open-source ML projects or research publications
• Experience in defense, aerospace, or other regulated industries
Company:
Spear AI develops AI-powered software and hardware for maritime operations. Founded in 2021, the company is headquartered in Washington, USA, with a team of 51-200 employees. The company is currently Growth Stage.
Spear AI is a growing defense contracting company dedicated to delivering cutting-edge solutions that support our nation's security. They are seeking a skilled Machine Learning Engineer to build and deploy production ML systems for their data management and artificial intelligence platform for maritime domain awareness.
Responsibilities:
• Design, train, and optimize machine learning models using PyTorch
• Deploy models to production environments in the cloud and at the edge
• Build and maintain ML pipelines for training, evaluation, and inference
• Integrate machine learning models into real-time and batch processing systems
• Optimize model performance for accuracy, latency, and resource constraints
• Implement model monitoring, versioning, and deployment strategies
• Work with signal processing data and time-series analysis
• Improve local development and CI/CD for ML workflows using modern tooling and GitHub Actions
Qualifications:
Required:
• Several years of experience with Python and machine learning frameworks
• Expertise in PyTorch for building and training neural networks
• Experience training and serving models in cloud environments (AWS, Azure, GCP)
• Proficiency with MLOps practices including experiment tracking, model versioning, and deployment
• Experience with model optimization for production performance and scale
• Knowledge of Docker and Kubernetes for containerized deployments
• Familiarity with REST APIs and model serving frameworks
• Understanding of CI/CD pipelines for ML systems
• Strong fundamentals in machine learning including model architecture design, training strategies, and evaluation
Preferred:
• Experience with reinforcement learning algorithms and applications
• Digital signal processing experience
• Background in time-series analysis or sensor data processing
• Experience with edge deployment and model optimization for resource-constrained environments
• Familiarity with distributed training across multiple GPUs/nodes
• Experience with model compression techniques (quantization, pruning, distillation)
• Contributions to open-source ML projects or research publications
• Experience in defense, aerospace, or other regulated industries
Company:
Spear AI develops AI-powered software and hardware for maritime operations. Founded in 2021, the company is headquartered in Washington, USA, with a team of 51-200 employees. The company is currently Growth Stage.
About Spear AI
Sourced by ZipRecruiter
Industry
Guided missile and space vehicle manufacturing
Company size
11 - 50 Employees
Headquarters location
Washington, DC, US
Year founded
2020