Senior Machine Learning Engineer

What We're Looking For

• Software Engineer: You have experience building production systems and taking POCs to production. You're skilled in building APIs, CI/CD, testing, and deployment automation, and you apply solid engineering practices like clean, maintainable code. You’re also familiar with modern cloud infrastructure (we use GCP), IaC tools like Pulumi or Terraform, and container technologies like Docker and Kubernetes.
• Machine Learning & Data-Driven Applications: You have a solid grasp of the machine learning lifecycle, strong Python skills, and hands-on experience with tools like scikit-learn, pandas, PyTorch, and TensorFlow.
• Pragmatic Craftsmanship: You see software engineering as a craft and are passionate about building high-quality, reliable, and well-tested software that has meaningful impact on the business. You don’t just write code that works; you write code that is clean, maintainable, and a pleasure for others to work with.
• Curiosity: You're eager to learn, take on new challenges, and are interested in expanding your technical expertise and impact. You are not afraid to say you don't know and fill any knowledge-gap on the job.
• Product Mindset: As a startup, we look for people who understand and help drive the bigger picture—business goals and user needs. You think beyond coding, focusing on how your work advances the product and creates real value for customers.
• Proactive Problem-Solver: You don't just fix bugs; you identify the root cause and improve the system to prevent future issues. You document past issues and propose clear solutions that go beyond your technical skills.

Why work with us?

• Direct Customer Impact: Your work will directly impact the customer experience and marketing decision making.
• Technical Challenges: Work on cutting-edge ML infrastructure problems at scale
• Autonomy: Lead initiatives from design through implementation with minimal oversight
• Growth: Opportunity to shape ML engineering practices across the organisation
• Team: Work with experienced data scientists and engineers who are driven by impact and committed to doing great work.
• ESOP: All staff receive equity (ESOP)
• Parental Leave: We offer 12 weeks paid leave to primary caregiver and 6 weeks to secondary caregiver after 2 years in business
• Annual Leave: You will receive 20 days base annual leave , +5 days after the first year, and +1 for each year after that up to 30 days total.
• 6 weeks work from anywhere: You are eligible to work 6 weeks anywhere in the world a year - just take your laptop and wifi and you’re good to go!