Sr AI Engineer

Benefits

Parental leave

Not verified

Non-birth-parent leave

Not verified

Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Not verified

Relocation assistance

Not verified

Childcare support

Not verified

Learning budget

Not verified

Verification

Not verified checked Jun 7, 2026

Salary

$84K-$105K From the posting source

401(k) match

Reported from DOL Form 5500 industry filing (not employer-specific)

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

16% below the BLS role benchmark for data and ml aggregate.

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Data From the posting source

Seniority

Senior From the posting source

Work mode

Onsite From the posting source

In-office days

5 days From the posting source

Schedule

Shift type

Not verified

Weekend work

Not verified

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Sr AI Engineer Columbia, MARYLAND, United States Company Description: Job Description: 100% onsite - Columbia, MD We are seeking a hands-on Senior AI Engineer to build and deploy edge AI solutions that integrate machine learning with real-world hardware systems. This role focuses on developing intelligent applications using sensor data, working across the full lifecycle from data collection and model development to deployment on embedded platforms. Key Responsibilities: Assemble hardware setups (e.g., physical systems, sensor arrays, embedded boards) and collect data from real-world physical environments to support AI model development and validation. 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 internal product and marketing 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. Lead junior engineers and contribute to technical leadership across teams. Stay current with emerging technologies in AI, embedded ML, and signal processing. Qualifications: Bachelors (3-4 years) Master's Electrical Engineering or related technical field, and 2-3 years career experience. 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 Broad familiarity with types of sensors and their placement and applications in embedded systems. Including hands-on experience with audio, electrical, accelerometers and control system signals Experience working

Read the full description at jobs.smartrecruiters.com. FewerJobs shows a preview and links to the original posting.