Senior Software Engineer II

Tree Trust; Ottawa; On-site; CAD 126,400 - 158,000; Full time

Benefits offered by this job

Bonuses

Medical Insurance

Dental Insurance

Vision Insurance

Life and Disability Insurance

RRSP Matching

Paid Holidays

Employee Assistance Program

Job summary

Tree Trust is seeking a Senior Software Engineer II in Ottawa to design and implement secure, high-performance pipelines for machine learning models. You will build robust ML systems using Python and collaborate with other engineers to ensure smooth operations.

The ideal candidate will have 8+ years of experience in ML development, with a strong background in AWS, Python, and data processing. This role includes hybrid working conditions, with up to one day a week in the Ottawa office.

Qualifications

• 8+ years of professional ML development experience with a proven track record of designing and implementing ML infrastructure in AWS.
• Mastery of ML concepts (supervised/unsupervised learning) and deep understanding of Large Language Models (LLMs) and NLP.
• Expert-level Python skills and experience with high-scale data processing (PySpark, etc.).
• Comfortable with Unix/Linux systems and experienced in deploying end-to-end solutions for real-time applications.

Responsibilities

• Design and implement secure, highly scalable pipelines for ML models.
• Collaborate with application engineers to integrate, test, and monitor ML model services.
• Serve as a technical leader and mentor for junior engineers.

Skills

Machine Learning Infrastructure Design

Python Programming

Cloud Infrastructure (AWS)

Data Processing (PySpark)

Unix/Linux Systems

Education

Bachelor’s Degree in Computer Science, Data Science, Software Engineering, Mathematics, Statistics

Job description

The Machine Learning Platform team (MLP) is seeking a Senior Software Engineer II to design and implement secure, highly scalable, and high-performance pipelines that govern the end-to-end lifecycle of ML models.

What you’ll be working on

• Build and maintain robust ML systems using Python (Pandas/NumPy, PyTorch/transformers) to support efficient ML operations.
• Design ML cloud infrastructure using AWS services, ensuring the platform is built for reuse, scalability, and high-volume throughput.
• Collaborate with application engineers to integrate, test, and monitor ML model services across SurveyMonkey’s microservices architecture.
• Act as a consultant to internal feature teams, educating and influencing decisions regarding ML tooling and infrastructure.
• Incorporate telemetry into the platform for complex failure mode analysis, ensuring real-time reliability for millions of daily survey responses.
• Serve as a technical leader and mentor, championing high standards in coding, documentation, and architectural best practices to foster the professional growth of junior engineers on the MLP team.

We’d love to hear from people with

• 8+ years of professional ML development experience with a proven track record of designing and implementing ML infrastructure in AWS.
• Mastery of ML concepts (supervised/unsupervised learning) and deep understanding of Large Language Models (LLMs) and NLP.
• Expert-level Python skills and experience with high-scale data processing (PySpark, etc.).
• Comfortable with Unix/Linux systems and experienced in deploying end-to-end solutions for real-time applications (spam detection, personalization, ranking).
• Bachelor’s Degree in Computer Science, Data Science, Software Engineering, Mathematics, Statistics, or a related quantitative field.

The base pay for this position ranges from CAD $126,400.00 per year to $158,000.00 per year, depending on geographic market and job‑related factors. Bonuses and a competitive benefits package—including medical, dental, vision, life and disability insurance; RRSP matching; flexible spending & health savings account; paid holidays; paid time off; employee assistance program; and other company benefits—may also be offered.

You will be required to work from the Ottawa office up to 1 day per week. The remaining days are hybrid.

Our commitment to an inclusive workplace

SurveyMonkey is an equal opportunity employer committed to providing a workplace free from harassment and discrimination. We celebrate the unique differences of our employees because that is what drives curiosity, innovation, and the success of our business. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate. Accommodations are available for applicants with disabilities.