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Senior Embedded Machine Learning Jobs in Gary, IN

Motion Recruitment

Senior Embedded Engineer

Chicago, IL

$127K - $167K/yr

A growing consumer technology company is seeking a Senior Embedded Software Engineer to join its ... sensors, machine learning, mobile applications, and embedded systems to help users improve ...

Apex Systems

Senior Machine Learning Engineer

Chicago, IL · On-site

$107K - $147K/yr

Hyatt seeks an extraordinary Machine Learning Engineer to help build the algorithmic assets and features that Hyatt guests, members, customers and internal users leverage to transform the guest ...

RKMC Inc.

Sr Machine Learning Engineer

Chicago, IL · On-site

$107K - $147K/yr

Key ResponsibilitiesAI/ML Engineering & Solution DevelopmentDesign, develop, test, and deploy machine learning, generative AI, and agentic AI solutions in production environments. Collaborate with ...

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The Hartford

Senior AI Machine Learning Engineer

Chicago, IL · Hybrid

$126K - $166K/yr

As a Senior Machine Learning Engineer , you will play a critical role in designing, building, and operationalizing productiongrade AI solutions-partnering closely with product, engineering, and ...

The Hartford

Sr AI Machine Learning Engineer

Chicago, IL · Hybrid

$117K - $175K/yr

The Hartford is seeking Senior AI Machine Learning Engineer to build Machine Learning Operations (MLOps) services for the Global Specialty Applied AI team. The Hartford is developing industryleading ...

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Senior Embedded Machine Learning information

See Gary, IN salary details

$75.1K

$144.1K

$192.6K

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

As of Sep 10, 2026, the average yearly pay for senior embedded machine learning in Gary, IN is $144,063.00, according to ZipRecruiter salary data. Most workers in this role earn between $123,400.00 and $161,700.00 per year, depending on experience, location, and employer.

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 Gary, IN?

The most popular types of Embedded Machine Learning jobs in Gary, IN are:

What cities near Gary, IN are hiring for Senior Embedded Machine Learning jobs?

Cities near Gary, IN with the most Senior Embedded Machine Learning job openings:

Senior Embedded Machine Learning jobs near you

Senior Embedded Engineer

Chicago, IL

Motion Recruitment
Recruiting and Staffing Services • 501 - 1,000 employees
Learn more about Motion Recruitmentexternal

$127K - $167K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 2 days ago

Job description

A growing consumer technology company is seeking a Senior Embedded Software Engineer to join its full-time engineering team in San Francisco, CA. This organization develops innovative connected hardware products that combine sensors, machine learning, mobile applications, and embedded systems to help users improve performance and recovery. The environment is highly technical and focused on Embedded Linux development, firmware engineering, platform security, and IoT connectivity.
This is an opportunity to own critical components of an advanced embedded platform used by customers globally. The ideal candidate enjoys solving complex problems around secure boot, Linux systems, firmware architecture, hardware integration, and connected device security. Engineers on this team work with a high degree of autonomy, partner closely with international manufacturing teams, and have a direct impact on product quality and customer experience.
Required Skills & Experience
  • 5+ years of embedded software or firmware development experience
  • Strong C and/or C++ programming skills
  • Deep experience with Embedded Linux environments
  • Hands-on experience with Yocto, Bitbake, and system
  • Linux kernel development experience
  • Experience working on IoT or connected hardware products
  • Knowledge of software security principles and secure development practices
  • Ability to support manufacturing and deployment activities as needed
Desired Skills & Experience
  • Secure boot implementation experience
  • Key management and provisioning expertise
  • Anti-rollback and chain-of-trust experience
  • OP-TEE or Trusted Execution Environment experience
  • Bluetooth, Wi-Fi, or other wireless protocol experience
  • Experience optimizing performance in resource-constrained systems
  • Strong debugging and problem-solving abilities
What You Will Be Doing
Tech Breakdown
  • 75% Embedded Linux / Firmware Development
  • 15% Platform Security Engineering
  • 10% Wireless Communication & Hardware Integration
Daily Responsibilities
  • 85% Hands-On Development
  • 5% Leadership / Technical Guidance
  • 10% Cross-Functional Collaboration

The Offer
  • Bonus eligible
You will receive the following benefits:
  • Medical, Dental, and Vision Insurance
  • Vacation Time
  • Stock Options

Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
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