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Tiny Ml Jobs (NOW HIRING)

Senior Staff AI Engineer

Columbia, MD · On-site

$103K - $142K/yr

Develop and maintain edge AI based applications, demos and solutions combining tiny ML models in a wide variety of physical hardware settings, including consumer devices, industrial machines and ...

Join a tiny, fast-moving healthcare AI startup early * Own meaningful engineering work from the beginning of your career * Work directly with ML engineers and founders * Build tools that create real ...

About Tiny Health Tiny Health is advancing lifelong health, from the first 1,000 days to the last ... ML or LLM-backed features to production. You can walk us through what broke once real users ...

Join a tiny, fast-moving healthcare AI startup early * Own meaningful engineering work from the beginning of your career * Work directly with ML engineers and founders * Build tools that create real ...

Join a tiny, fast-moving healthcare AI startup early * Own meaningful engineering work from the beginning of your career * Work directly with ML engineers and founders * Build tools that create real ...

Senior Staff Software Engineer, AI Edge

Sunnyvale, CA · On-site

$143K - $189K/yr

Experience with on-device ML Software Development Kits (SDKs)/tooling (e.g., TensorFlow Lite ... Train task-specific models of in app AI (tiny Gemma/Juno Nano), enabling Gemma model/runtime co ...

... ML techniques, from linear models to deep learning, depending on what best fits a given problem ... We were founded by a small group of traders and technologists in a tiny New York office. Today, we ...

HPC/ML Infrastructure Engineer

San Francisco, CA · On-site

$126K - $166K/yr

We currently have a very tiny research team, and you'll be directly helping some of the AI researchers in the world train the best anime image model in the world. We also believe in the unmatched ...

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Tiny Ml information

See salary details

$59.5K

$111.6K

$203K

How much do tiny ml jobs pay per year?

As of Sep 10, 2026, the average yearly pay for tiny ml in the United States is $111,632.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,500.00 and $132,500.00 per year, depending on experience, location, and employer.

What is Tiny ML?

Tiny ML, or Tiny Machine Learning, refers to the deployment of machine learning algorithms on tiny, low-power hardware devices such as microcontrollers. These devices typically have limited memory and processing power, making it challenging to run traditional ML models. Tiny ML allows for real-time data processing and decision-making directly on the device, reducing the need for cloud connectivity. It is used in applications like smart sensors, wearables, and IoT devices where efficiency and low power consumption are essential.

What are the key skills and qualifications needed to thrive as a Tiny ML engineer?

To succeed as a TinyML Engineer, you need a solid background in embedded systems, machine learning fundamentals, and programming languages like C/C++ and Python, often supported by a relevant degree in computer science or electrical engineering. Familiarity with microcontroller platforms (such as Arduino or ARM Cortex), TensorFlow Lite, and model optimization tools is essential. Strong problem-solving skills, creativity, and effective communication help you adapt solutions to resource-constrained environments and collaborate across teams. These skills and qualities are crucial for delivering efficient, real-time AI solutions on edge devices where memory and power are limited.

What are some common challenges faced by Tiny ML engineers when deploying models on edge devices?

Tiny ML engineers often encounter challenges related to limited computational resources, strict power consumption requirements, and minimal memory availability on edge devices. Optimizing machine learning models to maintain accuracy while significantly reducing their size and complexity is a key task. Additionally, ensuring compatibility with various hardware platforms and managing real-time data processing can be demanding. Collaboration with hardware engineers and embedded software developers is essential to address these constraints effectively.

What are entry level Tiny ML jobs?

Entry-level Tiny ML jobs typically involve developing and deploying machine learning models on embedded devices with limited resources. Candidates often need knowledge of embedded systems, programming skills in languages like Python or C++, and familiarity with TinyML frameworks such as TensorFlow Lite for Microcontrollers. These roles may include tasks like model optimization, sensor data processing, and working in collaborative development environments.

What other helpful pages are available for Tiny Ml?

Other pages related to Tiny Ml:

Infographic showing various Tiny Ml job openings in the United States as of September 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $111,632 per year, or $53.7 per hour.

Senior Staff AI Engineer

Columbia, MD • On-site

$103K - $142K/yr

Full-time

Medical, Dental, Vision, Life, PTO

Re-posted 14 days ago


Job description

Job Description

100% onsite - Columbia, MD

We are seeking a highly skilled and hands-on Senior Staff AI Engineer to head our Edge AI Applications Lab.  The role includes leadership of R&D, PoC and AI product demo projects involving physical hardware builds associated with microcontroller deployment of tiny AI models.  It includes management and scheduling of the associated physical lab space and equipment in support of these projects, as well as cross-BU and customer support efforts that may require physical lab implementations.   The ideal candidate will bring significant skills in small scale PoC fabrication, coupled with understanding of a range of AI algorithms and their practical applications to real-world sensor data microcontroller.  Individual should have demonstrated project and small-team people and technical leadership experience, and bring a creative, hands-on disposition.   

Key Responsibilities:

  • Lead Edge AI Applications Lab, including management of project, people,  facilities and scheduling.

  • Develop and maintain edge AI based applications, demos and solutions combining tiny ML models in a wide variety of physical hardware settings, including consumer devices, industrial machines and automotive.

  • Collaborate with customers and internal product teams to ingest, debug, and analyze their data for model development.

  • Work with other AI and embedded engineers to optimize and deploy AI models suitable for microcontrollers (MCUs) and embedded platforms.
  • Manage a variety of projects both technically and logistically in an industrial laboratory setting, including planning, part procurement, instrumentation, hardware setup and creating ML models.

  • Fabricate and assemble hardware setups (e.g., physical systems, sensor arrays, embedded boards) and collect data from real-world physical environments to support model development and validation.

  • Mentor junior engineers and contribute to technical leadership across teams.
  • Stay current with emerging technologies in AI, embedded ML, and signal processing.

Qualifications
  • Master's or PhD in Electrical Engineering or related technical field, and 7-12 years career experience..

  • Understanding of AI/ML algorithms with experience deploying models on MCUs
  • Practical  fabrication of prototype systems that include physical, microelectronic, and sensor elements in novel combinations, including familiarity with design tools, 3D printing, and hands-on electrical and physical assembly.

  • Demonstrated experience leading engineering teams and collaborating effectively across multiple cross-functional groups
  • Broad familiarity with types of sensors and their placement and applications in practical systems. Including hands-on experience with audio, electrical, accelerometers and control system signals.
  • Experience working with large high-frequency sensor datasets (e.g., audio, electrical, motor control, accel, etc.), including debugging, preprocessing and ML Ops. 

  • Proficiency in Python, MATLAB, and C, specifically including experience with real-time edge computing and embedded systems.

  • Background in digital signal processing (DSP) for audio and time-series data preferred.

Additional Information

The expected annual pay range for this position is $139,500 - $185,000. This position is also eligible for   bonus opportunities and commission pay.  Please note that the final offer amount will be dependent on geographic location, applicable experience, and skillset of the candidate. 

Renesas offers a full range of elective benefits including medical, health savings account (with applicable medical plan), dental, vision, health and/or dependent care flexible spending accounts, pre-tax commuter benefits, life insurance, AD&D, and pet insurance. In addition to elective benefit options, benefited employees receive company-paid life insurance and AD&D, LTD, short term medical benefits as well as paid sick time, paid holidays, and accrued paid vacation. New employees will attend a detailed benefit orientation to learn more about our many benefits and resources 

Renesas is an embedded semiconductor solution provider driven by its Purpose 'To Make Our Lives Easier.' As the industry's leading expert in embedded processing with unmatched quality and system-level know-how, we have evolved to provide scalable and comprehensive semiconductor solutions for automotive, industrial, infrastructure, and IoT industries based on the broadest product portfolio, including High Performance Computing, Embedded Processing, Analog & Connectivity, and Power.
With a diverse team of over 22,000 professionals in more than 30 countries, we continue to expand our boundaries to offer enhanced user experiences through digitalization and usher into a new era of innovation. We design and develop sustainable, power-efficient solutions today that help people and communities thrive tomorrow, 'To Make Our Lives Easier.'     
At Renesas, you can: 

  • Launch and advance your career in technical and business roles across four Product Groups and various corporate functions. You will have the opportunities to explore our hardware and software capabilities and try new things.  
  • Make a real impact by developing innovative products and solutions to meet our global customers' evolving needs and help make people's lives easier, safe and secure. 
  • Maximize your performance and wellbeing in our flexible and inclusive work environment. Our people-first culture and global support system, including the remote work option and Employee Resource Groups, will help you excel from the first day.    

Are you ready to own your success and make your mark?  

Join Renesas. Shape Your Future with Us.  

Renesas Electronics is an equal opportunity and affirmative action employer, committed to celebrating diversity and fostering a work environment free of discrimination on the basis of sex, race, religion, national origin, gender, gender identity, gender expression, age, sexual orientation, military status, veteran status, or any other basis protected by federal, state or local law. For more information, please read our Diversity & Inclusion Statement.

Renesas Electronics deals with dual-use technology that is subject to U.S. export controls regulations. Under these regulations it may be necessary for Renesas to obtain U.S. government export license prior to release of technology to certain persons. The decision whether or not to file or pursue an export license application is at the sole discretion of Renesas.