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Senior Embedded Machine Learning Jobs in Gary, IN

OceanComm, Inc.

Embedded Software Engineer, DSP

Chicago, IL · On-site

$90K - $150K/yr

Experience deploying DSP and/or machine-learning algorithms on resource-constrained embedded platforms * Familiarity with FPGA development and hardware description languages such as VHDL * Experience ...

OceanComm, Inc.

Embedded Software Engineer, DSP

Chicago, IL · On-site

$90K - $150K/yr

Experience deploying DSP and/or machine-learning algorithms on resource-constrained embedded platforms * Familiarity with FPGA development and hardware description languages such as VHDL * Experience ...

OceanComm, Inc.

Embedded Software Engineer, DSP

Chicago, IL · On-site

$90K - $150K/yr

Experience deploying DSP and/or machine-learning algorithms on resource-constrained embedded platforms * Familiarity with FPGA development and hardware description languages such as VHDL * Experience ...

OceanComm, Inc.

Embedded Software Engineer, DSP

Chicago, IL · On-site

$90K - $150K/yr

Experience deploying DSP and/or machine-learning algorithms on resource-constrained embedded platforms * Familiarity with FPGA development and hardware description languages such as VHDL * Experience ...

InRule Technology Inc

Senior Data Engineer

Chicago, IL · On-site

$109K - $148K/yr

... machine learning to help IT and business leaders make better decisions faster, operationalize AI ... Develop and optimize reporting and analytics experiences delivered through embedded analytics ...

InRule Technology, Inc.

Senior Data Engineer

Chicago, IL · On-site

$140K - $170K/yr

... machine learning to help IT and business leaders make better decisions faster, operationalize AI ... Develop and optimize reporting and analytics experiences delivered through embedded analytics ...

Addison Group

Sr. Data Scientist

Chicago, IL · Remote

$85 - $100/hr

Senior Data Scientist Remote/Onsite : Remote Contract Pay: $85/hr - $100/hr The Senior Data ... Design, implement, and optimize advanced machine learning and optimization models to address ...

Elevance Health

Research Scientist Senior

Chicago, IL · On-site +1

$101K - $129K/yr

Research Scientist Senior Research Scientist Senior This role requires associates to be in-office ... Develops scalable machine learning and reinforcement learning systems that improve healthcare ...

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All JobsEmbedded Machine Learning JobsSenior Embedded Machine Learning JobsSenior Embedded Machine Learning Jobs in Gary, IN

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 Machine Learning Engineer (LLMs)

Chicago, IL • On-site

Albi
See more jobs at Albiexternal

$126K - $166K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 7 days ago

Job description

We're building deeply integrated LLMs into a real product used daily by restoration companies running thousands of jobs. This is not a "prompt engineer" role. You'll design, train, and ship domain-specific language models that automate real workflows and move real revenue.
You will:
  • Own end-to-end LLM systems: architecture, training, evals, and iteration
  • Fine-tune and extend existing models (LoRA, instruction tuning, RLHF)
  • Build and maintain data pipelines from product databases, documents, APIs, and logs
  • Ship reliable, monitored, production models with clear guardrails
  • Collaborate closely with product and engineering to turn messy real-world problems into working systems
  • Build and coordinate the AI engineering team
  • Use Claude Code as a core tool for development, refactors, tests, and experiments

This is for you if:
  • "How does this actually work under the hood?" is your default question
  • You're fine sitting with a hard problem for days and reading papers on weekends to figure it out
  • If there's something interesting to learn or solve, it doesn't matter if it's Saturday or 1 a.m., you're in
  • You build side projects nobody asked for and write cleaner code than anyone requires
  • You're quietly competitive, self-taught in at least one major skill, and think in systems
  • You're slightly allergic to meetings without a clear purpose or owner

Requirements
  • 5+ years of real world experience in ML / AI engineering
  • Proven experience training or substantially contributing to training LLMs (not just calling APIs)
  • Deep understanding of transformers, attention, and training dynamics
  • Strong Python plus PyTorch or JAX
  • Experience with large-scale data pipelines and experiment tracking
  • Hands-on fine-tuning (LoRA, instruction / SFT, RLHF or similar)
  • Comfortable using Claude Code as part of your daily workflow
  • Able to explain complex systems simply to non-technical stakeholders and go deep with experts
  • Track record of owning projects end-to-end and mentoring other engineers

Nice to have:
  • Distributed training (FSDP, DeepSpeed, Megatron, etc.)
  • Inference optimization (quantization, speculative decoding, vLLM, Triton)
  • Experience shipping LLM features in production SaaS
  • Open-source contributions or published work or patents in ML / NLP
  • Microsoft Foundry experience

Benefits
  • Competitive salary (based on experience and location)
  • Generous PTO
  • Medical, dental, and vision coverage
  • 401(k) plan
  • High ownership and autonomy over your work
  • Direct collaboration with a small team of smart, kind, motivated engineers
  • An environment that values deep work, clear thinking, and real impact
  • Regular team events and off-sites
  • Equipment and learning budget to help you do your best work and keep up with the frontier

Apply