Senior Applied AI Scientist

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

Not verified

401(k) match

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

Was this benefit information wrong? Tell us.

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

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 checked Jun 20, 2026

Seniority

Senior From the posting source checked Jun 20, 2026

Work mode

Hybrid From the posting source checked Jun 20, 2026

In-office days

2 days From the posting source checked Jun 20, 2026

Schedule

Shift type

Not verified

Weekend work

Not verified

Company

Equity

Offered Verified - SEC 10-K source checked Jun 20, 2026

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Senior Applied AI Scientist Job Location - Country Canada Senior Applied AI Scientist (Please submit resume in English) Location: Hybrid, Quebec, Canada As a Senior Applied AI Scientist, you'll have the opportunity to develop innovative solutions in artificial intelligence (AI) for smart infrastructure, participate in the development of new products based on AI, and collaborate with an established team of Data Scientists. By virtue of its unique market positioning, our team targets a wide variety of AI-related research fields, including computer vision, graphical models, natural language processing, advanced signal processing, unsupervised learning and clustering, reinforcement learning, etc. Responsibilities: Develop AI/ML algorithms and models using accepted best practices Analyze user challenges, workflows, and use cases Keep yourself up to date with the relevant research and scientific literature Provide a technological watch over various areas of AI/ML Assist in data acquisition from various sources Analyze data integrity and quality Develop data cleaning strategies and prepare training datasets Measure model performance and resilience Prepare reports and presentations on results Present results to peers, internal stakeholders, and users Qualifications: BSc, MSc, or PhD in machine learning or a related specialty at least 6 years of experience doing research and development in machine learning - including deep learning and advanced techniques Experience with Large Language Models, RAG, and Copilot systems Experience in practical

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