AI Engineer Associate

Bayview Asset Management; Toronto; On-site; CAD 90,000 - 110,000; Full time

Job summary

A financial services firm in Toronto is seeking a motivated engineer to join its AI Team. This role involves exploring LLM technologies to enhance investment processes. Candidates should have a strong quantitative background along with experience in data science and proficiency in Python. The expected base compensation is $90,000 – $110,000, with bonus opportunities.

Qualifications

• 2 – 5 years of experience in data science, machine learning, or statistical modeling.
• Exposure to mortgage data or financial services systems is a plus.

Responsibilities

• Research and experiment with LLM and generative AI tools.
• Build prototype solutions using Python and other data science tools.
• Analyze technical performance and economic tradeoffs of model approaches.
• Collaborate with IT for compliant deployment plans.
• Monitor performance of deployed AI solutions and refine based on feedback.

Skills

Analytical skills

Problem-solving skills

Communication skills

Proficiency in Python

Proficiency in SQL

Familiarity with machine learning frameworks

Education

Bachelor's or Master's degree in relevant field

Tools

Python

SQL

TensorFlow

PyTorch

scikit-learn

OpenAI

HuggingFace

Job description

Overview

ABOUT US

Founded in 1993, Bayview Asset Management is an investment management firm focused on investments in mortgage and consumer credit, including whole loans, asset-backed securities, mortgage servicing rights, and other credit-related assets.

POSITION SUMMARY

We are seeking a highly motivated engineer to join our BAM AI Team. This role offers a unique opportunity to explore and apply cutting‑edge large language model (LLM) technologies in support of Bayview’s investment and operational processes. This Associate will work closely with cross‑functional stakeholders, including the MSR Hedging Team, IT Engineering, and Compliance, to prototype, evaluate, and refine AI solutions that enhance efficiency, decision‑making, and value creation across the enterprise.

This role is ideal for a curious, detail‑oriented professional with a strong foundation in quantitative methods, a passion for emerging AI technologies, and a collaborative mindset.

RESPONSIBILITIES

• Research and experiment with frontier LLM and generative AI tools to explore their potential in addressing Bayview-specific investment and operational use cases.
• Build prototype solutions by identifying, fine‑tuning, and integrating models using Python and other data science tools.
• Analyze the technical performance (accuracy, speed, scalability) and economic tradeoffs (compute cost, maintenance, ROI) of different model approaches.
• Work with engineering partners to translate prototypes into scalable, secure, and supportable enterprise applications.
• Collaborate with IT to develop robust and compliant deployment plans, aligned with Bayview's enterprise architecture.
• Monitor the performance and adoption of deployed AI solutions; collect usage data, troubleshoot issues, and contribute to ongoing product refinement based on feedback and impact analysis.

QUALIFICATIONS

• Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Quantitative Finance, or a related field.
• 2 – 5 years of experience in data science, machine learning, or statistical modeling (mortgage industry experience is a plus).
• Exposure to mortgage data, investment modeling, or financial services systems is a plus.

SKILLS

• Strong analytical and problem‑solving skills; capable of evaluating competing technical solutions based on practical constraints.
• Excellent written and verbal communication skills, with the ability to convey technical concepts to non‑technical stakeholders.
• Proficiency in Python and SQL for model development and empirical analysis is required.
• Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit‑learn) and AI/LLM platforms (e.g., OpenAI, HuggingFace) is strongly preferred.
• Demonstrated ability to manage multiple projects in a fast‑paced, collaborative environment.

LOCATION AND COMPENSATION

• This role will be based in our Toronto, CAD office.
• This role will be 100% in office.
• Base compensation is expected to be $90,000 – $110,000 with the opportunity for incentive compensation including bonus compensation.
• *Salary may vary based on work experience, market conditions, location, and qualifications/training.

PHYSICAL DEMANDS AND WORK ENVIRONMENT

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is regularly required to sit and use hands to handle, touch or feel objects, tools, or controls. The employee frequently is required to talk and hear. The noise level in the work environment is usually moderate. The employee is occasionally required to stand; walk; reach with hands and arms. The employee is rarely required to stoop, kneel, crouch, or crawl. The employee must regularly lift and/or move up to 10 pounds. Specific vision abilities required by this job include close vision, color vision, and the ability to adjust focus.

EEOC

Bayview is an Equal Employment Opportunity employer. All aspects of consideration for employment and employment with the Company are governed on the basis of merit, competence and qualifications without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, or any other category protected by federal, state, or local law.