Senior Software Engineer II
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Key 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 Base pay ranges from CAD $126,400.00 / year to $158,000.00 / year, plus potential bonuses and a comprehensive benefits package. Work Arrangement Hybrid: required to work on‑site in Ottawa up to one day per week. Remote work is otherwise possible. EEO Statement SurveyMonkey is an equal opportunity employer committed to providing a workplace free from harassment and discrimination. Accommodations are available for applicants with disabilities. #J-18808-Ljbffr
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