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Entry Level Edge Ai Machine Learning Jobs (NOW HIRING)

Nace AI

Machine Learning Engineer

Palo Alto, CA · On-site

As a Machine Learning Engineer, you will play a central role in translating cutting-edge machine ... AI's strategic objectives. Key Responsibilities: * Design, build, and maintain end-to-end ML ...

Spear AI

Machine Learning Engineer

Washington, DC · On-site +1

Spear AI is a growing defense contracting company dedicated to delivering cutting-edge solutions ... Integrate machine learning models into real-time and batch processing systems * Optimize model ...

Confie

Machine Learning Engineer

Addison, TX · On-site +1

$110K - $130K/yr

... AI)/Machine Learning (ML) models Essential Duties & Responsibilities Research, analyze, support, and implement machine learning solutions on the Snowflake Cloud data warehouse platform using the ...

Instacart

OR

Machine learning is central to how we build intelligent shopping experiences at Instacart. We use ... Using cutting-edge AI and LLM-based techniques to understand user intent, refine queries, and ...

Apple

AIML Engineer - Human Perception

Sunnyvale, CA · On-site

Our team delivers cutting-edge AI, machine learning, computer vision and graphics algorithms that power technologies including human understanding, perception, digital humans, AI agents, and health ...

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How much do entry level edge ai machine learning jobs pay per hour?

As of Jul 7, 2026, the average hourly pay for entry level edge ai machine learning in the United States is $17.46, according to ZipRecruiter salary data. Most workers in this role earn between $15.62 and $18.99 per hour, depending on experience, location, and employer.
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Entry Level Edge Ai Machine Learning jobs near you
Infographic showing various Entry Level Edge Ai Machine Learning job openings in the United States as of July 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $36,327 per year, or $17.5 per hour.

Senior Machine Learning Engineer - AI Foundation

XPENG

Santa Clara, CA • On-site

$122K - $168K/yr

Other

Re-posted 5 days ago

Job description

XPENG is a leading smart technology company at the forefront of innovation, integrating advanced AI and autonomous driving technologies into its vehicles, including electric vehicles (EVs), electric vertical take-off and landing (eVTOL) aircraft, and robotics. With a strong focus on intelligent mobility, XPENG is dedicated to reshaping the future of transportation through cutting-edge R&D in AI, machine learning, and smart connectivity.
 
We are looking for a full-time Machine Learning Engineer - AI Foundation, with deep knowledge and strong enthusiasm towards establishing a state-of-art ML infrastructure for training very large foundation model and accelerating model training/inference.
 
Our mission is to solve the autonomous driving problem. You will work with a team of talented software engineers, machine learning engineers and research scientists to push the boundary of state-of-art machine learning models which will enable the next-generation E2E solution of autonomous driving.
 
Job Responsibilities:
  • Optimize transformer-based LLMs for low-latency and high-throughput inference.
  • Optimize kernels and model graphs using tools like CUDA, Triton, and custom fused operators.
  • Implement and benchmark (Quantization, Knowledge distillation, structured and unstructured pruning, KV-cache optimization, etc.).
  • Deploy optimized models across GPUs, CPUs, and edge acceleators.
  • Contribute to internal tooling and documentation for model optimization flows.
 
Minimum Skill Requirements:
  • Master in CS/CE/EE, or equivalent, with 3 + years of industry experience.
  • Good knowledge of PyTorch.
  • Knowledge of transformer architecture and ways to accelerate the training and inference of transformer models.
 
Preferred Skill Requirements:
  • Previous experience in the autonomous driving industry.
  • Knowledge of Torchscript and Nvidia TensorRT.
  • Strong programming skills in Python and C++
  • Familiarity with GPU CPU, NPU, DSP architecture.
  • Deep understanding of memory bandwidth, compute bottlenecks, and hardware-aware model optimization
  • Being efficiently in solving complex problems collaboratively on larger teams
 
What do we provide:
  • A fun, supportive and engaging environment.
  • Infrastructures and computational resources to support your work.
  • Opportunity to work on cutting edge technologies with the top talents in the field.
  • Opportunity to make significant impact on the transportation revolution by the means of advancing autonomous driving.
  • Competitive compensation package.
  • Snacks, lunches, dinners, and fun activities.
 
The base salary range for this full-time position is $174,720 - $295,680, in addition to bonus, equity and benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.
 
We are an Equal Opportunity Employer. It is our policy to provide equal employment opportunities to all qualified persons without regard to race, age, color, sex, sexual orientation, religion, national origin, disability, veteran status or marital status or any other prescribed category set forth in federal or state regulations.

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