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Temporary Embedded Machine Learning Jobs (NOW HIRING)

Apple

Machine Learning Engineer

Cupertino, CA

$181.10K - $272.10K/yr

... shared AI platform and embedded across products - Design, build, and own end-to-end GenAI ... machine learning concepts, including supervised and unsupervised learning; exposure to ...

Heven AeroTech

Machine Learning Engineer

Sterling, VA · On-site

Machine Learning Engineer Company: Heven AeroTech Location: Sterling, Virginia FLSA: Exempt About ... Embedded Linux and ROS experience * Defense/aerospace industry background * Additional Google Cloud ...

PROPRIUS

Senior Machine Learning Engineer

New York, NY

$114.30K - $157K/yr

Expert level coding skills (Python, C++ at minimum) * 3+ years' experience working with machine learning in embedded applications: model quantization, fixed point neural networks (CNN and RNN)

Apple

Embedded ISP Engineer

San Diego, CA · On-site

... and machine learning techniques, all while contributing to the future of photography and ... Build drivers for advanced image processing pipelines in embedded systems, working with the latest ...

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$70K

$153.4K

$174K

How much do temporary embedded machine learning jobs pay per year?

As of May 31, 2026, the average yearly pay for temporary embedded machine learning in the United States is $153,383.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,500.00 and $173,000.00 per year, depending on experience, location, and employer.

What is the difference between Temporary Embedded Machine Learning vs Embedded Software Engineer?

AspectTemporary Embedded Machine LearningEmbedded Software Engineer
CredentialsRelevant degrees in CS, EE, or data science; certifications in ML or embedded systemsDegrees in CS, EE; certifications in embedded systems or software development
Work EnvironmentProject-based, often in tech or manufacturing industries, with focus on ML integrationDesigning, developing, and testing embedded software in various industries like automotive, IoT
Industry UsageUsed in AI-driven embedded systems, IoT devices, and smart gadgetsUsed in consumer electronics, automotive, industrial automation

Temporary Embedded Machine Learning specialists focus on integrating machine learning models into embedded devices, often on a project basis. Embedded Software Engineers develop and maintain the software that runs directly on hardware. While both roles require embedded systems knowledge, the ML role emphasizes AI integration, whereas the embedded software engineer focuses on software development and system stability.

What cities are hiring for Temporary Embedded Machine Learning jobs? Cities with the most Temporary Embedded Machine Learning job openings:
What are the most commonly searched types of Embedded Machine Learning jobs? The most popular types of Embedded Machine Learning jobs are:
What states have the most Temporary Embedded Machine Learning jobs? States with the most job openings for Temporary Embedded Machine Learning jobs include:
Temporary Embedded Machine Learning jobs near you
Software Engineer - Machine Learning

Software Engineer - Machine Learning

Quantiply Corporation

San Jose, CA

Full-time

Posted 12 days ago

Job description

Company Description

Did you know that Money Laundering is a primary enabler of criminal activity like drug trafficking, smuggling, terrorism, and corruption around the world with an estimated $2.3 Trillion laundered annually? Criminals are becoming more and more sophisticated in rapidly innovating new ways to launder money and current methods of detecting money laundering are antiquated and ineffective. Quantiply's Sensemaker application suite and platform solutions use AI and machine learning algorithms to identify money laundering and other criminal activities and automatically recommend mitigation strategies and actions. If you are looking for an opportunity to work on complex business problems using the latest AI and Machine Learning technologies, work with best and brightest in crafting innovative solutions while making a positive impact on society, Quantiply is the place for you.

Job Description

We're looking for software engineers with experience in machine learning and artificial intelligence. You will be embedded as part of a team that collaborates with researchers on conceiving, researching, and prototyping new machine learning techniques and use cases with the goal of driving Quantiply's growth in the Anti-Money Laundering space.

Ideal candidates will have a good understanding of state-of-the-art techniques in machine learning and deep learning, performance optimization, and benchmarking, along with a strong understanding of high-performance computer architecture. Candidates must also possess strong verbal and written communication skills and the demonstrated ability to work in a demanding team-oriented environment.

Responsibilities:

  • Develop highly scalable deep learning, reinforcement learning and bayesian models.
  • Support research projects by providing innovative designs for end-to-end Machine Learning systems.
  • Optimize performance of complex machine learning systems. Exploit modern parallel environments.
  • Design and develop software libraries.
  • Partner with Product and Engineering teams to explore new opportunities.
  • Influence product features and product roadmap through exploratory analysis.
  • Report and present software developments verbally and in writing.
Qualifications

Minimum qualifications:

  • PhD in computer science, machine learning, electrical engineering, mathematics, or equivalent pracitical experience.
  • Strong knowledge and experience in Python, Docker and Kubernetes.
  • Working experience in Tensorflow.
  • Working experience with distributed software architecture.
  • Knowledge of machine learning and statistics.

Preferred qualifications:

  • Strong experience in Tensorflow or similar frameworks.
  • Strong experience with concurrent and distributed software architecture.
  • Experience with Hadoop.
  • Experience with C++/Java/Scala.
Additional Information

All your information will be kept confidential according to EEO guidelines.

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