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Embedded Machine Learning Engineer Jobs in Blairstown, NJ

We are looking for a talented AI Solution Engineer to join our innovative team. This role involves ... Machine Learning: Proficiency in machine learning algorithms and techniques. Experience with ...

Data Engineering Partnership & Oversight * Partner with data engineering to design and improve ... AI, Machine Learning & Advanced Analytics Use Cases * Identify and prioritize AI and advanced ...

Software Systems Engineer - III

Warren, NJ ยท On-site

$59.75 - $80.25/hr

Our founders are hardcore telecommunications engineers with combined 200 + years of experience in ... Machine learning is a plus but not required. R/Scala/Python a plus Additional Information Vivek ...

Data Scientist Manager

Morristown, NJ ยท On-site

$164K - $171K/yr

Machine learning platforms (DataRobot); * SQL Server; and * Programming Languages R and Python. Salary: $164,050 to $171,900/year. Standard benefits package. Apply online

Manufacturing Engineer

Budd Lake, NJ ยท On-site

$74K - $96K/yr

Partner with Operations, Quality, Planning, Supply Chain, Finance, and Engineering to improve ... or machine learning tools in a manufacturing environment. * Lean Six Sigma Green Belt/Black Belt ...

Manufacturing Engineer

Budd Lake, NJ

$74K - $96K/yr

Partner with Operations, Quality, Planning, Supply Chain, Finance, and Engineering to improve ... or machine learning tools in a manufacturing environment. * Lean Six Sigma Green Belt/Black Belt ...

Manufacturing Engineer

Budd Lake, NJ

$74K - $96K/yr

Partner with Operations, Quality, Planning, Supply Chain, Finance, and Engineering to improve ... or machine learning tools in a manufacturing environment. * Lean Six Sigma Green Belt/Black Belt ...

Manufacturing Engineer

Budd Lake, NJ

$74K - $96K/yr

Partner with Operations, Quality, Planning, Supply Chain, Finance, and Engineering to improve ... or machine learning tools in a manufacturing environment. * Lean Six Sigma Green Belt/Black Belt ...

Manufacturing Engineer

Budd Lake, NJ ยท On-site

$74K - $96K/yr

Partner with Operations, Quality, Planning, Supply Chain, Finance, and Engineering to improve ... or machine learning tools in a manufacturing environment. * Lean Six Sigma Green Belt/Black Belt ...

Manufacturing Engineer

Mount Olive, NJ ยท On-site

$74K - $96K/yr

Partner with Operations, Quality, Planning, Supply Chain, Finance, and Engineering to improve ... or machine learning tools in a manufacturing environment. * Lean Six Sigma Green Belt/Black Belt ...

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Embedded Machine Learning Engineer information

See Blairstown, NJ salary details

$70.2K

$153.8K

$174.5K

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

As of Aug 5, 2026, the average yearly pay for embedded machine learning engineer in Blairstown, NJ is $153,826.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,900.00 and $173,500.00 per year, depending on experience, location, and employer.

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

To thrive as an Embedded Machine Learning Engineer, you need expertise in machine learning algorithms, embedded systems programming (C/C++ or Python), and a solid understanding of hardware constraints, usually supported by a degree in computer science, electrical engineering, or related fields. Familiarity with tools like TensorFlow Lite, ONNX, microcontroller SDKs, and experience with real-time operating systems (RTOS) are typically required. Strong problem-solving, communication skills, and the ability to collaborate across multidisciplinary teams help you stand out in this role. These skills are crucial for efficiently deploying intelligent models on resource-constrained devices, ensuring optimal performance and seamless integration in real-world applications.

What does an embedded machine learning engineer do?

An Embedded Machine Learning Engineer designs and implements machine learning models that can run efficiently on embedded systems, such as microcontrollers and edge devices. Their work involves optimizing algorithms to fit within the resource constraints of these devices, integrating ML models into hardware, and ensuring real-time performance. They collaborate closely with hardware engineers and software developers to deploy intelligent features in products like smart sensors, IoT devices, and autonomous systems.

What are some common challenges faced by embedded machine learning engineers when deploying models to hardware devices?

One of the main challenges for Embedded Machine Learning Engineers is optimizing machine learning models to run efficiently on devices with limited memory, processing power, and energy capacity. Ensuring real-time performance while maintaining accuracy often requires model quantization, pruning, or using lightweight architectures. Additionally, engineers must carefully manage hardware-software integration and address issues like compatibility with various microcontrollers and ensuring secure, reliable updates for deployed models. Close collaboration with hardware engineers and software developers is essential to overcome these challenges and deliver robust embedded AI solutions.

What is the difference between Embedded Machine Learning Engineer vs Firmware Engineer?

AspectEmbedded Machine Learning EngineerFirmware Engineer
Required CredentialsBachelor's/Master's in Computer Science, Electrical Engineering, or related; knowledge of ML frameworksBachelor's in Electrical Engineering, Computer Engineering, or related; embedded systems experience
Work EnvironmentDevelops ML models for embedded devices, often in IoT or smart devicesDesigns and implements low-level firmware for hardware devices
Industry UsageTech companies, IoT, consumer electronics, automotiveConsumer electronics, automotive, industrial equipment

The Embedded Machine Learning Engineer focuses on integrating machine learning models into embedded systems, while the Firmware Engineer specializes in developing low-level software for hardware devices. Both roles require embedded systems knowledge but differ in their core focus and skill sets.

What cities near Blairstown, NJ are hiring for Embedded Machine Learning Engineer jobs? Cities near Blairstown, NJ with the most Embedded Machine Learning Engineer job openings:

AI / Machine Learning Engineering Lead

Everest Insurance

Warren, NJ โ€ข On-site

$180K - $220K/yr

Full-time

Medical, Life, Retirement, PTO

Re-posted 24 days ago


Job description

Title:
AI / Machine Learning Engineering Lead
Company:
Everest Reinsurance Company
Job Category:
Technology
Job Description:
About Everest:
Everest is a global leader in risk management, rooted in a rich, 50+ year heritage of enabling businesses to survive and thrive, and economies to function and flourish. We are underwriters of risk, growth, progress and opportunity. We are a global team focused on disciplined capital allocation and long-term value creation for all stakeholders, who care deeply about our impact on communities and the wider world.
About the Role:
We are looking for a talented AI Solution Engineer to join our innovative team. This role involves designing and implementing advanced AI models to solve complex business problems, particularly within the insurance sector. The ideal candidate will have a strong statistical background and be proficient in machine learning and data analysis.
This is a hybrid position based in Warren, NJ working 3 days onsite, 2 remote.
We are not considering fully remote candidates at this time.
Key Responsibilities:
  • Design and Develop AI Models: Create and implement AI models with a robust statistical foundation. Ensure models are scalable and can be integrated into existing systems.
  • Performance Evaluation: Develop and utilize metrics to evaluate the performance of AI models. Continuously monitor and refine models to maintain high performance and accuracy.
  • Data Analysis: Analyze large datasets to extract meaningful insights and patterns. Validate AI models against existing benchmarks and datasets.
  • Collaboration: Work closely with data scientists, software engineers, and other stakeholders to align AI solutions with business objectives. Communicate findings and recommendations to non-technical team members.

Skills Needed:
  • Machine Learning: Proficiency in machine learning algorithms and techniques. Experience with frameworks such as TensorFlow, PyTorch, or similar.
  • Statistical Analysis: Strong background in statistics and probability. Ability to apply statistical methods to real-world data.
  • Programming: Expertise in Python and/or R for data analysis and model development. Familiarity with SQL and other database technologies.
  • Data Analysis: Skilled in data preprocessing, cleaning, and transformation. Experience with data visualization tools to present findings effectively.
  • Insurance Domain Knowledge: Experience working with insurance datasets, including claims and underwriting data.
  • Understanding of industry-specific challenges and regulatory requirements.

Qualifications:
  • Education: A bachelor's degree in computer science, Statistics, Data Science, or a related field is required. A master's degree or relevant certifications (e.g., in machine learning or data science) are a plus.
  • Experience: 7-9 years of overall experience, including 3-5+ years in AI/ML development and deployment. Prior experience in the insurance industry is highly desirable.
  • Soft Skills: Strong problem-solving abilities, excellent communication skills, and the ability to work collaboratively in a team environment.
  • Adaptability: Ability to stay current with the latest AI trends and technologies and apply them to improve existing solutions.

The base salary range for this position is $180,000 - $220,000 annually. The offered rate of compensation will be based on individual education, experience, qualifications and work location. All offers include access to a variety of benefits to employees, including health insurance coverage, an employee wellness program, life and disability insurance, 401k match, retirement savings plan, paid holidays and paid time off (PTO).
#LI-KG1
#LI-Hybrid
What if I don't meet every requirement? At Everest we are dedicated to building an inclusive and authentic workplace. So, if you are excited about this role but your past experience doesn't align perfectly with every element in the job description, we still encourage you to apply. You may be just the right candidate for this or other roles. Please let us know if you need any accommodations throughout the application or interview process.
Our Culture
At Everest, our purpose is to provide the world with protection. We help clients and businesses thrive, fuel global economies, and create sustainable value for our colleagues, shareholders and the communities that we serve. We also pride ourselves on having a unique and inclusive culture which is driven by a unified set of values and behaviors. Click here to learn more about our culture.
  • Our Values are the guiding principles that inform our decisions, actions and behaviors. They are an expression of our culture and an integral part of how we work: Talent. Thoughtful assumption of risk. Execution. Efficiency. Humility. Leadership. Collaboration. Inclusion and Belonging.
  • Our Colleague Behaviors define how we operate and interact with each other no matter our location, level or function: Respect everyone. Pursue better. Lead by example. Own our outcomes. Win together.

All colleagues are held accountable to upholding and supporting our values and behaviors across the company. This includes day to day interactions with fellow colleagues, and the global communities we serve.
Type:
Regular
Time Type:
Full time
Primary Location:
Warren, NJ
Additional Locations:
Everest is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or creed, sex (including pregnancy), sexual orientation, gender identity or expression, national origin or ancestry, citizenship, genetics, physical or mental disability, age, marital status, civil union status, family or parental status, veteran status, or any other characteristic protected by law. As part of this commitment, Everest will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Everest Benefits at everestbenefits@everestglobal.com.
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