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Tiny Ml Jobs (NOW HIRING)

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 ...

$91K - $119K/yr

Train, quantize (INT8/FP16), and deploy tiny machine learning models onto microcontrollers (ARM ... On-Device ML: Practical experience with TinyML frameworks (TensorFlow Lite Micro, CMSIS-NN, Edge ...

Founded in 2013 by the original creators of Apache Spark, Databricks has grown from a tiny corner ... Extensive experience in applying Data Science / ML for the end-to-end development and deployment of ...

Senior Data Scientist

Mountain View, CA · On-site

$123K - $218K/yr

Founded in 2013 by the original creators of Apache Spark, Databricks has grown from a tiny corner ... Experience in applying Data Science / ML in production to build data‑driven products for solving ...

Founded in 2013 by the original creators of Apache Spark, Databricks has grown from a tiny corner ... Experience in applying Data Science / ML in production to build data-driven products for solving ...

Staff Data Scientist

San Francisco, CA · On-site

$192K - $260K/yr

Founded in 2013 by the original creators of Apache Spark, Databricks has grown from a tiny corner ... Extensive experience in applying Data Science / ML for the end-to-end development and deployment of ...

New

Staff Data Scientist

San Francisco, CA · On-site

$192K - $260K/yr

Founded in 2013 by the original creators of Apache Spark, Databricks has grown from a tiny corner ... Extensive experience in applying Data Science / ML for the end-to-end development and deployment of ...

Showing results 21-40

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.

Structural/ Thermal Modeling Engineer 3

Tualatin, OR

Lam Research
Manufacturing • 10K+ employees

Full-time

Posted 12 days ago


Lam Research rating

8.2

Company rating: 8.2 out of 10

Based on 46 frontline employees who took The Breakroom Quiz


Job description

The group you'll be a part of In the Global Products Group, we are dedicated to excellence in the design and engineering of Lam's etch and deposition products. We drive innovation to ensure our cutting-edge solutions are helping to solve the biggest challenges in the semiconductor industry. The impact you'll make We move atoms that move the world.

At Lam Research, we create equipment that allows chipmakers to build device features more than 1,000 times smaller than a grain of sand. This tiny scale has a huge impact. Virtually every leading-edge chip inside the electronic products you use every day (TVs, smartphones, laptops, cars-even medical devices) has been made using our equipment.

As one of the world's most trusted suppliers in the semiconductor equipment industry, we're transforming technology. Our equipment places atoms so precisely that nearly every chip today is made using our innovations. To build a prosperous career, start with an atom.

Should you choose to walk the path historically driven by Moore's law, your primary job function will involve cutting edge R&D activities in the Semiconductor Equipment Industry. If solving challenges no one has faced before or attempted are of interest to you, then Lam Research is the company for you. What you'll do Developing physics-based models for Thermo-Elastic, Structural and CFD applications for components in semiconductor capital equipment industry.

Experience in commercial software like ABAQUS, ANSYS, NASTRAN, COMSOL, etc., is highly desirable. Data driven modeling - Juncture of physics-based modeling with data-driven, AI/ML methods: Developing methods for translating tool operational data into improved engineering designs Utilizing DOE, Optimization, and statistical methods to correlate Simulation data to experimental data. Stochastic optimization tools to bridge between simulation and experiments

Predict, measure and analyze the experimental data of mechanical designs, process specification and software programs for semiconductor manufacturing equipment. Uncertainty Quantification & propagation, sensitivity analysis, statistical inference for model calibration, decision making under uncertainty. Developing and maintaining live multi-physics models Multi-scale modeling from nano, meso to macro levels Provide design improvements of in-service tools based upon quantitative field measured failure data and less quantitative quality metrics as measured by Lam Research.

Use advanced statistical, probabilistic and forecasting methods to best quantify design and performance of overall system. Provide written reports and oral presentation of results to design teams and management. Work directly with mechanical, electrical, process and software engineers to define design requirements, goals and objectives of design, CIP, testing and simulation plans.

Who we're looking for Minimum Qualifications: PhD in Mechanical Engineering or closely related field with strong emphasis in solid mechanics, heat transfer and fluid mechanics or related fields. Strong ability and understanding of AI/ML concepts and hybrid physics-based AI/ML modeling software. Coding ability to supplement commercial software for specific applications as needs arise.

Ability to work within a team to own and design concepts and drive design decisions. Ability to lead and conduct design reviews in cross functional and matrixed environments. Strong written and oral communication.

Self-starter to start own initiatives and projects for continuous improvement in capabilities and design. This is a graduate eligible role. Preferred qualifications Preferred knowledge of chemistry, semiconductor metrology methods, and employing sensors and hardware designs in a vacuum environment is also a plus.

Expertise or working knowledge in several of these areas are desired: Big data, AI/ML algorithms and concepts. Multi-physics modeling, Multi-scale modeling, Feature scale from nano, meso scale to macro scale. Heat transfer in low pressure regimes HPC, optimization and cloud computing Numerical methods - Smoothed Particle Hydrodynamics (SPH), MD, BTE, Spectral Element, molecular dynamics, DSMC.

Thin film mechanics and characterization Ceramic materials Fracture mechanics and Fatigue Uncertainty qualification, error analysis, statistical methods. Statistical theory, DOE, optimization algorithms. Our commitment We believe it is important for every person to feel valued, included, and empowered to achieve their full potential.

By bringing unique individuals and viewpoints together, we achieve extraordinary results. Lam Research ("Lam" or the "Company") is an equal opportunity employer. Lam is committed to and reaffirms support of equal opportunity in employment and non-discrimination in employment policies, practices and procedures on the basis of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex (including pregnancy, childbirth and related medical conditions), gender, gender identity, gender expression, age, sexual orientation, or military and veteran status or any other category protected by applicable federal, state, or local laws.

It is the Company's intention to comply with all applicable laws and regulations. Company policy prohibits unlawful discrimination against applicants or employees. Lam offers a variety of work location models based on the needs of each role.

Our hybrid roles combine the benefits of on-site collaboration with colleagues and the flexibility to work remotely and fall into two categories - On-site Flex and Virtual Flex. 'On-site Flex' you'll work 3+ days per week on-site at a Lam or customer/supplier location, with the opportunity to work remotely for the balance of the week. 'Virtual Flex' you'll work 1-2 days per week on-site at a Lam or customer/supplier location, and remotely the rest of the time.

Our Perks and Benefits At Lam, our people make amazing things possible. That's why we invest in you throughout the phases of your life with a comprehensive set of outstanding benefits.


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About Lam Research

Sourced by ZipRecruiter

Lam Research designs and builds products for semiconductor manufacturing, including equipment for thin film deposition, plasma etch, photoresist strip, and wafer cleaning processes.

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

Fremont, CA, US

Year founded

1980

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