Senior ML Ops Engineer

Description

Sprout Social empowers businesses worldwide to harness the immense power and opportunity of social media in today’s digital-first world. Processing over one billion social messages daily, our platform serves up essential insights and actionable information to over 30,000 brands, informing strategic decisions that drive business growth and innovation, and fostering deeper, authentic connections to their end customers. Our full suite of social media management solutions includes comprehensive publishing and engagement functionality, customer care solutions, influencer marketing, connected workflows, and business intelligence. We're actively weaving AI throughout our products to drive our business’s growth trajectory.

What you’ll do

• Build and maintain infrastructure using AWS, Terraform, and Kubernetes to support AI/ML at scale, including Generative AI applications. 
• Manage the end-to-end lifecycle of machine learning models, ensuring observability and tooling support both scale and speed.
• Execute at scale while staying nimble enough to keep up with new capabilities being offered by social network APIs.
• Improve processes and champion ideas that matter while holding the team accountable to high code quality and engineering standards.
• Support our AI/ML Scientists by developing tooling to streamline model development and deployment.
  
  

What you’ll bring

We’re looking for a creative, collaborative, pragmatic, highly motivated, and impact oriented technical leader to join our team in building great software. If you can solve hard problems, deliver quality server-side software, and confidently guide your peers to learn from and teach each other, we’d love to talk with you!

The minimum qualifications for this role include:

• 5+ years of experience developing and supporting AI/ML software in a production environment.
• 5+ years of experience programming in object-oriented languages such as Java, Python, or C++.
• Impact-oriented mindset with an interest in stability at scale and a willingness to engage in feature development.

Preferred qualifications for this role include experience:

• 3+ years of experience developing and supporting scalable, distributed backend services.
• 3+ years of experience building and supporting GPU-heavy services.
• 1+ years of experience with LLMs / Generative AI, including managing their unique costs, constraints, and observability challenges.
• 1+ years of experience with Infrastructure-as-Code (Terraform) and container orchestration (Kubernetes) within AWS environments.
  
  

How you’ll grow

Within 1 month, you’ll plant your roots, including:

• Complete Sprout’s New Hire training program alongside other new Sprout team members.
• Get acclimated to the team's current Mission, Goals, and Objectives along with future product roadmaps.
• Become familiar with the team’s existing deployment patterns and the ML Ops tooling ecosystem.
  
  

Within 3 months, you’ll start hitting your stride by:

• Decomposing work into small, similarly sized units and working with your squad to prioritize quarterly team goals.
• Setting up initial software for model deployment and monitoring of ML models.
  Partnering with the Infrastructure team to deploy an existing ML model in Kubernetes.
  Acting as the domain owner for new projects and writing necessary design documents.
  
  

Within 6 months, you’ll be making a clear impact through:

• Rolling out monitoring and alerting tools to identify problems before they affect users.
• Helping deploy new ML models processing hundreds of millions of messages a day.
• Identifying technical debt and performance bottlenecks, and executing plans to improve the code.
• Collaborating effectively across the organization to ensure big-picture alignment.
  
  

Within 12 months, you’ll make this role your own by:

• Becoming the go-to expert of ML Ops at Sprout.
• Developing repeatable deployment patterns for data scientists to train, deploy, and evaluate batch, REST, and event-based ML services.
• Owning cross-organizational projects and mentoring junior engineers to help them level up technically.
• Surprising us! Use your unique ideas and abilities to change your team in beneficial ways.

Our Benefits Program
We’re proud to regularly be recognized for our team, product, and culture. We invest in our team with a comprehensive, competitive benefits program:

• 100% Employer-Paid Health Benefits: We cover 100% of the premiums for you and your eligible dependents, including comprehensive medical, dental (basic & major), vision, life insurance, and disability.
• Generous Paid Time Off: 25 days of vacation annually, plus 5 paid sick days, all public holidays, and additional company-wide Rest & Recharge days.
• Premium Mental Health Support: Full, free access to Modern Health for you and your dependents, including coaching, therapy sessions, and digital wellness resources.
• Annual Lifestyle Stipend: A $950 CAD annual Lifestyle Spending Account to spend on your physical, mental, and financial well-being.
• Remote Work Support: A one-time $550 USD (equivalent) stipend to set up your home office, plus a monthly $50 USD (equivalent) stipend for internet.
• Personalized Financial Wellness: No-cost, confidential access to financial experts through Your Money Line to support your personal financial goals.
• Family & Care Support: Access to subsidized child and eldercare options through Care.com.
• Charitable Giving: A company match for your donations to eligible organizations.

*This list is for informational purposes only. Benefit offerings are discretionary and subject to change and do not constitute a contract or guarantee of benefits.

Individual base pay is based on various factors, including work location, relevant experience and skills, the responsibility of the role, and job duties/requirements. The base pay range for this role is $132,000 (min) - $181,500 (max) CAD annually. 

The listed ranges represent earning potential in this position. These ranges were determined by a market-based compensation approach; we used data from trusted third-party compensation sources to set equitable, consistent, and competitive ranges. We also evaluate compensation bi-annually, identify any changes in the market and make adjustments to our ranges and existing employee compensation as needed.

Base pay is only one element of an employee's total compensation at Sprout. Every Sprout team member has an opportunity to receive restricted stock units (RSUs) under Sprout’s equity plan. We have outlined the various components to an employee’s full compensation package here to help you to understand our total rewards package.

Candidates for this remote work opportunity must be based in either Alberta, British Columbia or Ontario. If you are based in another location within Canada, we aren’t able to hire in your location at this time.

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