Staff Machine Learning Engineer

SurveyMonkey; Remote; CAD 100,000 - 130,000; Full time

Job summary

A leading survey platform in Canada is seeking an experienced data scientist to mentor team members and lead machine learning initiatives. This role involves guiding project planning, promoting data-driven practices, and collaborating across teams. Ideal candidates will have over 12 years of experience, along with proficiency in tools such as Athena and Sagemaker. Strong problem-solving and mentoring abilities are crucial for the success of the team. The company values inclusivity and diversity in the workplace.

Qualifications

• 12+ years of hands-on data science experience.
• Good understanding of applied machine learning techniques.
• Experience developing and deploying ML models.

Responsibilities

• Mentor and guide junior data scientists.
• Streamline agile processes and adjust plans.
• Advocate for data-driven practices across teams.

Skills

Hands-on data science experience

Applied machine learning techniques

Coaching and mentoring skills

Collaboration across functional teams

Problem-solving under pressure

Tools

Athena

Sagemaker

Snowflake

Airflow DAG

Job description

Overview

SurveyMonkey is the world’s most popular platform for surveys and forms, built for business—loved by users. We combine powerful capabilities with intuitive design, effectively serving every use case, from customer experience to employee engagement, market research to payment and registration forms. With built-in research expertise and AI-powered technology, it’s like having a team of expert researchers at your fingertips. Trusted by millions—from startups to Fortune 500 companies—SurveyMonkey helps teams gather insights and information that inspire better decisions, create experiences people love, and drive business growth. Discover how at surveymonkey.com.

What we’re looking for

The role will report to the senior manager of the data science team. This team will partner with Machine Learning Platform, Legal, Security, Application Engineering, Product Management, Product Design, and Survey Research teams to define and execute the product roadmap. The role has huge opportunities to help ship the next generation of pleasant experience for our customers to instantly create high-quality surveys, and derive professional, actionable insights from their data.

What you’ll be working on

• Mentor and guide junior data scientists on the team. Serve as the technical leader for multiple machine learning projects. Your expertise will be instrumental in helping them with project planning, making technical decisions, and conducting code and document reviews, fostering their growth and ensuring the team's overall success.
• Promote excellence in execution by streamlining agile processes, getting clarity in project definitions, making smart trade-offs between tech debt accumulation and payoff, and adjusting plans to meet changing needs.
• Thrives under pressure and is open to new ideas
• Advocate for data-driven practices within the organization. Collaborate seamlessly across functional teams from different timezones to drive product improvement.

We’d love to hear from people with

• 12+ years of hands-on data science experience
• Good understanding of applied machine learning techniques, including natural language processing, classification, personalization, ranking, etc
• Great understanding of the lifecycle of ML-enabled products
• Experience developing and deploying the machine learning models using tools such as Athena, Sagemaker, Snowflake, and Airflow DAG.
• Strong ability to coach the team, helping team members improve their skill sets and grow their careers

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.

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