Senior Software Engineer II

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

Benefits offered by this job

Medical, dental, and vision insurance

RRSP matching

Flexible spending & health savings account

Paid holidays and time off

Job summary

Tree Trust in Canada is looking for a Senior Software Engineer II to design and implement secure, scalable machine-learning pipelines. You will work on integrating Generative AI and real-time technologies.

The ideal candidate has 8+ years of experience in ML development and expertise in Python and AWS services. A competitive compensation package includes medical and other benefits.

Qualifications

• 8+ years of professional ML development experience.
• Expert-level Python skills.
• Mastery of ML concepts.

Responsibilities

• Build and maintain robust ML systems using Python.
• Design ML cloud infrastructure using AWS services.
• Collaborate with application engineers to integrate ML model services.

Skills

Machine Learning infrastructure design

Python (Pandas/NumPy, PyTorch)

AWS services

Unix/Linux systems

Data processing (PySpark)

Education

Bachelor's Degree in Computer Science or related field

Job description

Position Overview

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 machine‑learning models. You will work at the intersection of Data Science and DevOps to build the "connective tissue" that empowers our product portfolio to leverage Generative AI, NLP, and real‑time classification technologies.

Responsibilities

• 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.

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 (spam detection, personalization, ranking).
• Bachelor’s Degree in Computer Science, Data Science, Software Engineering, Mathematics, Statistics, or a related quantitative field.

Compensation

The base pay ranges from CAD $126,400.00 per year to $158,000.00 per year, depending on geographic market and subject to factors such as location, knowledge, education, skills, and experience.

Bonuses may also be offered as part of the total compensation package, in addition to a competitive benefits package that includes 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.

EEO Statement

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.