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Embedded Machine Learning Engineer Jobs in Blairstown, NJ

Containerization and DevOps: * Demonstrated expertise in using Docker to containerize applications ... AI & Machine Learning Integration: * Familiarity with integrating Artificial Intelligence (AI) and ...

Establish and maintain security engineering capabilities and processes, including vulnerability ... Assess, secure, and govern emerging technologies, including AI and machine learning solutions ...

Senior Software Engineer

Budd Lake, NJ · On-site

$102K - $153K/yr

Interface software with hardware components including sensors, motion systems, optics, and embedded ... Knowledge of motion control systems, machine vision, or image processing. * Experience with real ...

Machine Operator

Tatamy, PA

$16.25 - $19.25/hr

Ongoing training and opportunities for continued learning * Strong belief in internal growth and ... proudly design, engineer, and manufacture robust systems that help companies optimize space ...

Sr. AI Developer w/ Reactjs

Warren, NJ · On-site

$56.50 - $74.75/hr

Sr. AI Developer w/ Reactjs Location: Warren, NJ (Onsite) Position type: W2 contract. Job Overview ... Develop and implement AI and machine learning models using Python and related frameworks. * Design ...

Firmware Software Engineer

Dover, NJ · On-site

$70 - $90/hr

While direct experience in this specific area is not required, a strong aptitude for learning and ... Experience in embedded Linux software development. * Experience in FPGA HDL development is a plus.

While direct experience in this specific area is not required, a strong aptitude for learning and ... Experience in embedded Linux software development. * Experience in FPGA HDL development is a plus.

CNC Machinist

Easton, PA

$19.50 - $26.50/hr

We foster an environment for constant learning. * We engineer change for a more stable and sustainable world. YOUR IMPACT STARTS HERE We're looking for a CNC Machinist to join our Corporate ...

CNC Machinist

Easton, PA · On-site

$19.50 - $26.50/hr

We foster an environment for constant learning. * We engineer change for a more stable and sustainable world. YOUR IMPACT STARTS HERE We're looking for a CNC Machinist to join our Corporate ...

CNC Machinist

Easton, PA · On-site

$19.50 - $26.50/hr

We foster an environment for constant learning. * We engineer change for a more stable and sustainable world. YOUR IMPACT STARTS HERE We're looking for a CNC Machinist to join our Corporate ...

Showing results 21-40

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 Sep 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 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 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 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:

Manufacturing Engineer-Budd Lake, New Jersey

Coherent

Annandale, NJ

$76K - $97K/yr

Full-time

Re-posted 12 days ago


Key responsibilities

  • Drive manufacturing process improvements focused on reducing variance and product cost.

  • Analyze production data and develop process documentation to identify and implement margin improvement opportunities.

  • Lead projects to reduce cycle time, improve throughput, and optimize labor content for key product families.


Job description

Job Description
Primary Duties & Responsibilities
  • Drive manufacturing process improvements for Budd Lake production operations focused on reducing manufacturing variance, absorption variance, and product cost.
  • Analyze production data, routings, labor standards, yields, scrap, rework, and capacity utilization to identify and execute margin improvement opportunities.
  • Lead cycle time reduction, throughput improvement, and labor content optimization projects for key product families including Sapphire and YVO4.
  • Develop, maintain, and improve process documentation including work instructions, routers, travelers, BOMs, process flows, capacity models, and PFMEAs.
  • Evaluate and improve material utilization, WIP flow, inventory turns, and production planning alignment to reduce future excess and obsolete inventory exposure.
  • Design, qualify, and implement tooling, fixtures, automation, robotics, and error-proofing solutions to improve safety, consistency, yield, and scalability.
  • Apply AI-enabled tools, analytics, dashboards, and predictive methods to improve process visibility, anomaly detection, standard work adherence, and decision speed.
  • Use Lean, Six Sigma, SPC, DOE, root cause analysis, and process capability methods to stabilize processes and deliver measurable results.
  • Partner with Operations, Quality, Planning, Supply Chain, Finance, and Engineering to improve routing accuracy, labor absorption, cost models, and production execution.
  • Support investigation and resolution of yield losses, scrap, rework, MRB issues, and process escapes with timely corrective and preventive actions.
  • Lead validation, qualification, and implementation of new or revised manufacturing processes, equipment, tooling, and control plans.
  • Identify, justify, and manage capital and continuous improvement projects that improve throughput, capacity, quality, and gross margin performance.
  • Train production personnel on updated processes, automated systems, robotics work cells, AI-enabled tools, and standard work requirements.

Education & Experience
  • BS in Manufacturing Engineering, Mechanical Engineering, Industrial Engineering, Materials Science, Optical Engineering, or other relevant technical degree.
  • 5+ years' experience in manufacturing engineering, process engineering, industrial engineering, or production operations within a precision manufacturing environment.
  • Demonstrated experience reducing manufacturing cost through cycle time reduction, yield improvement, labor efficiency, material utilization, scrap reduction, and routing accuracy.
  • Practical knowledge of Lean Manufacturing, Six Sigma, SPC, DOE, FMEA/PFMEA, process capability, root cause analysis, and corrective action methods.
  • Experience developing and maintaining manufacturing documentation including routers, travelers, work instructions, BOMs, process flows, standard labor assumptions, and control plans.
  • Working knowledge of automation, robotics, machine integration, data acquisition, and manufacturing systems used to improve process repeatability and throughput.
  • Proficiency with Microsoft Office tools and data analysis/reporting platforms; ability to interpret ERP/MRP, production, quality, and cost data to drive action.

Skills
  • Experience supporting optical, crystal, ceramic, sapphire, YVO4, or other precision component manufacturing processes.
  • Hands-on experience implementing automation, robotics, vision systems, AI-enabled analytics, or machine learning tools in a manufacturing environment.
  • Lean Six Sigma Green Belt/Black Belt, SME, ASQ, or equivalent continuous improvement certification.
  • Experience building cost models, capacity models, labor standards, OEE/throughput dashboards, or variance reduction scorecards.
  • Strong cross-functional leadership skills with ability to influence Operations, Quality, Planning, Engineering, Supply Chain, and Finance without direct authority.
  • Excellent problem-solving, communication, organization, and follow-through skills with a bias toward measurable business results.

Physical Requirements
  • Ability to regularly walk throughout manufacturing, assembly, test, coating, polishing, and warehouse areas.
  • Ability to stand for extended periods (up to 4-8 hours per day) while supporting production activities, process observations, and troubleshooting efforts.
  • Ability to occasionally lift and carry materials, tooling, fixtures, and equipment weighing up to 25 pounds.
  • Ability to bend, stoop, reach, kneel, and climb ladders or step stools as required to support manufacturing equipment and process improvements.
  • Ability to use standard office equipment, including computers, monitors, and engineering software for extended periods.
  • Ability to perform detailed visual inspections and review technical data, drawings, procedures, and manufacturing documentation.
  • Ability to work in cleanroom, laboratory, and manufacturing environments while wearing required personal protective equipment (PPE), including safety glasses, gloves, smocks, and protective footwear.
  • Ability to support manufacturing activities in environments that may include moving machinery, vibration, noise, and exposure to chemicals used in optical manufacturing processes while following established safety procedures.
  • Ability to occasionally work flexible hours to support production needs, equipment installations, process qualifications, and continuous improvement initiatives.

Safety Requirements
All employees are required to follow the site EHS procedures and Coherent Corp. Corporate EHS standards.
Quality and Environmental Responsibilities
Depending on location, this position may be responsible for the execution and maintenance of the ISO 9000, 9001, 14001 and/or other applicable standards that may apply to the relevant roles and responsibilities within the Quality Management System and Environmental Management System.
Culture Commitment
Ensure adherence to company's values (ICARE) in all aspects of your position at Coherent Corp.:
Integrity - Create an Environment of Trust
Collaboration - Innovate Through the Sharing of Ideas
Accountability - Own the Process and the Outcome
Respect - Recognize the Value in Everyone
Enthusiasm - Find a Sense of Purpose in Work
Coherent Corp. is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.
If you need assistance or an accommodation due to a disability, you may contact us at talentacquisition@coherent.com.About Us
Coherent is a global leader in lasers, engineered materials and networking components. We are a vertically integrated manufacturing company that develops innovative products for diversified applications in the industrial, optical communications, military, life sciences, semiconductor equipment, and consumer markets. Coherent provides a comprehensive career development platform within an environment that challenges employees to perform at their best, while rewarding excellence and hard-work through a competitive compensation program. It's an exciting opportunity to work for a company that offers stability, longevity and growth. Come Join Us!
Note to recruiters and employment agencies: We will not pay for unsolicited resumes from recruiters and employment agencies unless we have a signed agreement and have required assistance, in writing, for a specific opening.