Engineering Manager, MLOps

Key Skills

C Programming, C++, Cloud computing, Data science techniques, Java Programming, Machine learning techniques, MATLAB Programming, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

We are looking for an Engineering Manager to lead projects and initiatives on our new ML Developer Productivity team within the ML Platform group. In this role, you will lead and grow a hard-working distributed team to drive the vision and roadmap of the machine learning developer experience.

Our mission is to build a self-service, easy-to-use foundation for developing and delivering robust models to production. This is a new team that will focus on creating internal tools used by ML Engineers for fast paced ML development. Specific responsibilities include architecting a unified interface for machine learning development at Affirm, redesigning the ML model repository, onboarding innovative MLOps tools, and owning the ML development environment (JupyterHub, Python virtual environment).

What You'll Do

• Build a unified ML platform that scales from 50 ML Engineers to hundreds of ML Engineers
• Collaborate with ML Engineers, Platform Engineers, and Product Managers to develop a long-term technical roadmap
• Hire a team of 4+ passionate engineers
• Hold a high technical bar with a bias towards longevity and simplicity
• Provide leadership and career growth opportunities to team members, develop talent, and mentor engineers
• Build a strong engineering culture around innovation, accountability, kindness, and execution

What We Look For

• Experience: 5+ years of experience as a software engineer with 1+ years of experience managing and growing impactful engineering teams
• Prior experience architecting, building, launching and maintaining foundational systems
• Curiosity in ML is encouraged but prior experience is not required.
• Passionate about customer experience
• Proven ability to hire and build teams
• Track record of successful collaboration especially with partner teams
• Ability to listen, influence, and lead towards alignment of common ML technology infrastructure across a growing, global organization
• Drive for changing consumer financial services for the better

Compensation & Benefits

We offer a competitive package, with some highlights listed below. However, the given figures are not guaranteed compensation ranges; rather, they are unbinding, approximate indications of what the salary may be for your awareness. The actual salary may be less than the lower range or greater than the upper range, depending on skills and experience. No employee is guaranteed salary at the amount of the lower range.

• Targeted Gross Monthly Salary: 25,792 - 28,370 PLN
• Flexible Spending Wallets for tech, food and lifestyle
• Generous time off policies
• Away Days - wellness days to take off work and recharge
• Learning & Development programs
• Parental leave
• Robust health benefits
• Employee Resource & Community Groups

Location - Remote Poland

The majority of our roles can be located anywhere in Poland.