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Senior Embedded Machine Learning Jobs in New Jersey

They are seeking a Senior Data Scientist with extensive experience in machine learning algorithms and strong skills in Text Mining and Natural Language Processing. Responsibilities : β€’ 10 to 15 ...

Senior AI/ML Research Engineer Job Category: Engineering Time Type: Full time Minimum Clearance ... Apply machine learning, statistics, and best-of-breed AI capabilities to develop algorithms to ...

Senior AI/ML Research Engineer

Florham Park, NJ Β· On-site

$109K - $150K/yr

Senior AI/ML Research Engineer Job Category: Engineering Time Type: Full time Minimum Clearance ... Apply machine learning, statistics, and best-of-breed AI capabilities to develop algorithms to ...

Senior AI Engineer

Jersey City, NJ Β· Remote

$109K - $149K/yr

You will leverage advanced machine learning techniques, frameworks, and large datasets to create innovative products and solutions. As a Senior AI Engineer, you will work closely with cross ...

Senior AI Engineer

Jersey City, NJ Β· On-site

$109K - $149K/yr

You will leverage advanced machine learning techniques, frameworks, and large datasets to create innovative products and solutions. As a Senior AI Engineer, you will work closely with cross ...

We are looking for a Senior Data Scientist to develop and deploy advanced analytics and AI ... Analyze large and complex datasets to identify patterns, build statistical and machine learning ...

We are a dynamic, collaborative group of technologists who push the boundaries of machine learning ... ABOUT YOU We are seeking a highly skilled and innovative Senior AI/ML Engineer to design, architect ...

We are a dynamic, collaborative group of technologists who push the boundaries of machine learning ... ABOUT YOU We are seeking a highly skilled and innovative Senior AI/ML Engineer to design, architect ...

As an Artificial Intelligence Senior Data Scientist, you will play a key role in leveraging advanced data analytics and machine learning techniques to develop innovative AI solutions. This position ...

Showing results 41-60

Senior Embedded Machine Learning information

What does a senior embedded machine learning engineer do?

A Senior Embedded Machine Learning engineer designs, develops, and optimizes machine learning models to run efficiently on resource-constrained embedded devices such as microcontrollers, IoT devices, and edge hardware. They are responsible for integrating ML algorithms with embedded systems, ensuring low latency and minimal power consumption. Their work often involves collaborating with hardware engineers and software developers to deploy intelligent features in products like smart sensors, wearables, and autonomous systems.

What are the key skills and qualifications needed to thrive as a senior embedded machine learning engineer?

To thrive as a Senior Embedded Machine Learning Engineer, you need expertise in embedded systems, machine learning algorithms, and programming languages like C/C++ and Python, often backed by an advanced degree in computer science or electrical engineering. Familiarity with tools such as TensorFlow Lite, ONNX, and embedded hardware platforms (e.g., ARM Cortex-M, NVIDIA Jetson) is typically required. Strong problem-solving, project management, and communication skills distinguish top performers in this role. These capabilities are crucial for efficiently deploying optimized machine learning models on resource-constrained devices and effectively collaborating across multidisciplinary teams.

What are some common challenges faced by senior embedded machine learning engineers when deploying models on edge devices?

Senior Embedded Machine Learning Engineers often encounter challenges such as optimizing model size and inference speed to fit within the limited computational resources and memory of edge devices. Balancing accuracy and performance while minimizing power consumption is critical, especially for battery-operated products. Additionally, integrating models with existing embedded software and ensuring reliable, real-time operation can require close collaboration with hardware and firmware teams. Staying current with advancements in model compression and hardware acceleration is also essential for success in this role.

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

AspectSenior Embedded Machine LearningEmbedded Software Engineer
Required CredentialsBachelor's/Master's in CS, EE, or related; experience in ML and embedded systemsBachelor's in CS, EE, or related; strong programming skills in C/C++
Work EnvironmentDeveloping ML models for embedded devices, hardware integrationDesigning and implementing embedded software for devices
Industry UsageAI/ML-focused companies, IoT, consumer electronicsAutomotive, industrial, consumer electronics

While both roles involve embedded systems, Senior Embedded Machine Learning focuses on integrating ML models into hardware, requiring knowledge of AI and data science. Embedded Software Engineers primarily develop software for embedded devices, emphasizing firmware and system-level programming. The roles overlap in embedded environment skills but differ in their core focus on AI versus traditional software development.

What are the most commonly searched types of Embedded Machine Learning jobs in New Jersey?

The most popular types of Embedded Machine Learning jobs in New Jersey are:

What cities in New Jersey are hiring for Senior Embedded Machine Learning jobs?

Cities in New Jersey with the most Senior Embedded Machine Learning job openings:

Sr. Data Scientist

Newark, NJ β€’ On-site

SonSoft Inc.
IT ServicesΒ β€’Β 51 - 200 employees

Full-time

Re-posted 7 days ago


Job description

Job Summary:
SonSoft Inc. is a USA based corporation specializing in Software Development and Information Technology Enabled Services. They are seeking a Senior Data Scientist with extensive experience in machine learning algorithms and strong skills in Text Mining and Natural Language Processing.
Responsibilities:
β€’ 10 to 15 years of experience with PhD or MS.
β€’ Hands on experience on machine learning algorithms (Neural Networks, Support Vector Machines, Random Forest, logistic regression, clustering, classification, Naive Bayes, association rules, Collaborative Filtering, recommendation techniques, pattern recognition etc.)
β€’ Strong experience in Text Mining, NLP – Natural Language Processing
β€’ Hands on experience on model development lifecycle
β€’ Strong hands on experience on R, Python, IBM SPSS
β€’ Excellent communication skills and ability to express the statistical model output properly to senior management
β€’ Logistics experience desired – shipment processing
β€’ Cognitive computing desirable
Qualifications:
Required:
β€’ 10 to 15 years of experience with PhD or MS.
β€’ Hands on experience on machine learning algorithms (Neural Networks, Support Vector Machines, Random Forest, logistic regression, clustering, classification, Naive Bayes, association rules, Collaborative Filtering, recommendation techniques, pattern recognition etc.)
β€’ Strong experience in Text Mining, NLP – Natural Language Processing
β€’ Hands on experience on model development lifecycle
β€’ Strong hands on experience on R, Python, IBM SPSS
β€’ Excellent communication skills and ability to express the statistical model output properly to senior management
β€’ Logistics experience desired – shipment processing
β€’ Cognitive computing desirable
Company:
SonSoft is an IT Staffing and consulting firm and duly organized under the laws of Commonwealth of Georgia. Founded in 2007, the company is headquartered in Alpharetta, USA, with a team of 51-200 employees. The company is currently Growth Stage.

Sonsoft logo

About Sonsoft

Sourced by ZipRecruiter

Sonsoft , Inc. is a USA based corporation duly organized under the laws of the Commonwealth of Georgia. Sonsoft Inc. is growing at a steady pace specializing in the fields of Software Development, Software Consultancy and Information Technology Enabled Services.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Alpharetta, GA, US

Year founded

2007