Senior ML Ops Engineer

Sprout Social

5h • Remote

About The Position

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!

Requirements

• 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.

Nice To Haves

• 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.

Responsibilities

• 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.

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed