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Ai Lab Jobs in Washington (NOW HIRING)

Senior Staff AI Engineer

Columbia, MD

$103K - $142K/yr

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 ...

Senior Staff AI Engineer

Columbia, MD · On-site

$103K - $142K/yr

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 ...

Senior Staff AI Engineer

Columbia, MD

$103K - $142K/yr

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 ...

Participate in building an in-house Analytics and AI lab to provide solutions to legal teams with complex data. * Build out solutions with OIT support and will need to be experts using various ...

About the role Spear AI is modernizing legacy submarine sensor systems -- replacing decades-old C ... Own test coordination: schedule lab time, stand up environments, and confirm software behavior ...

About the role Spear AI is modernizing legacy submarine sensor systems - replacing decades-old C ... Own test coordination: schedule lab time, stand up environments, and confirm software behavior ...

ARSIEM is looking for a motivated Network Engineer to implement, maintain, and support the lab ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

ARSIEM is looking for a motivated Network Engineer to implement, maintain, and support the lab ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

ARSIEM is looking for a motivated Network Engineer to implement, maintain, and support the lab ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Showing results 41-60

Ai Lab information

What is an AI Lab?

An AI Lab is a specialized research and development center focused on artificial intelligence technologies. These labs typically bring together scientists, engineers, and researchers to work on advancing machine learning, data science, robotics, and related fields. AI Labs can be part of universities, tech companies, or independent organizations, and they often collaborate on cutting-edge projects, publish research, and develop AI-powered solutions for real-world problems. Their work plays a crucial role in shaping how AI is integrated into various industries and society.

What are the key skills and qualifications needed to thrive in an AI Lab, and why are they important?

To thrive in an AI Lab, you need strong expertise in machine learning, statistics, and programming, often supported by an advanced degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow, PyTorch, and cloud computing platforms, as well as experience with data management systems, is typically required. Creative problem-solving, collaboration, and excellent communication skills help distinguish top contributors in this environment. These skills ensure effective research, innovation, and teamwork, driving successful AI development and implementation.

What are some common challenges faced when working in an AI Lab, and how can new team members overcome them?

Working in an AI Lab often involves tackling rapidly evolving technologies and collaborating with experts from diverse backgrounds, such as data scientists, engineers, and domain specialists. New team members may find it challenging to stay updated on cutting-edge research and to bridge communication gaps between different disciplines. To overcome these challenges, it's helpful to regularly attend team meetings, engage in knowledge-sharing sessions, and seek mentorship from experienced colleagues. Emphasizing continuous learning and open communication greatly enhances both individual growth and team success.

What is the difference between Ai Lab vs Data Scientist?

AspectAi LabData Scientist
Required CredentialsTypically a degree in computer science, AI, or related fields; certifications in AI/ML are commonDegree in statistics, computer science, or related fields; certifications in data analysis or machine learning are common
Work EnvironmentResearch labs, tech companies, or R&D departments focusing on AI developmentBusiness environments, analyzing data to inform decisions, often in tech, finance, or healthcare
Employer & Industry UsagePrimarily in tech companies, research institutions, and AI startupsAcross industries like finance, healthcare, marketing, and tech firms

While both roles involve working with data and algorithms, an Ai Lab focuses on developing and researching AI technologies, whereas a Data Scientist analyzes data to generate insights and support decision-making. The roles often overlap but differ mainly in their primary objectives and work environments.

How do I get into an AI lab?

To join an AI lab, candidates typically need a strong background in computer science, machine learning, or related fields, often demonstrated through a relevant degree or research experience. Gaining skills in programming languages like Python, familiarity with AI frameworks such as TensorFlow or PyTorch, and participating in research projects or internships can improve chances. Networking with professionals and publishing work can also help in securing a position in an AI lab.

What is the easiest AI Lab job to get into?

Entry-level roles in AI labs such as data annotation, data labeling, or research assistant positions are generally the easiest to obtain. These jobs often require basic technical skills, familiarity with AI concepts, and sometimes a relevant degree or certification, making them accessible for newcomers to the field.

What job categories do people searching Ai Lab jobs in Washington look for?

The top searched job categories for Ai Lab jobs in Washington are:

What cities in Washington are hiring for Ai Lab jobs?

Cities in Washington with the most Ai Lab job openings:

Infographic showing various Ai Lab job openings in Washington as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Senior Staff AI Engineer

Renesas Electronics

Columbia, MD

$103K - $142K/yr

Full-time

Medical, Dental, Vision, Life, PTO

Re-posted 26 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.