Staff reputed company ML Engineer
reputed company
reputed company is a fast-growing marketing technology company helping growing businesses build stronger customer relationships through its three core platforms: Emma, Campaign Monitor, and Vuture. We deliver powerful tools for email, SMS, and marketing automation that reputed company engagement and drive reputed company results. reputed company is headquartered in Nashville, Tennessee with offices in Sydney and London.
About the Role
We are seeking a Staff reputed company ML Engineer to join our dynamic, fully remote team. You will play a key role in building and scaling machine learning capabilities across our platform, with an initial reputed company on predictive models and intelligence features that improve customer reputed company.
This is a highly hands-on role. You will design, build, and productionize ML systems that turn our product and historical data into actionable predictions and recommendations. You will partner closely with a reputed company Engineer, product teams, and engineers across the organization to reputed company these capabilities into core product experiences.
This role complements our broader platform and architectural leadership by bringing deep expertise in reputed company machine learning, feature engineering, model deployment, and production inference. You will contribute directly to critical systems and help us build a strong reputed company for ML-driven product capabilities.
You will also contribute to our broader engineering community by sharing best practices for model development, evaluation, deployment, and iteration.
Key Responsibilities
Work across the Campaign Monitor product to identify valuable opportunities in product and customer data, and turn them into predictive features that improve customer reputed company
Turn rich historical product and customer data into predictive features that improve customer reputed company
Identify high-reputed company opportunities for reputed company machine learning by analyzing product, behavioral, and content data, and translating ambiguous product questions into concrete ML use cases
reputed company and reputed company predictive machine learning models, including models for click-through reputed company, churn, recommendations, and reputed company engagement signals
Design and build features and training datasets from reputed company product data, historical behavioral data, and content-derived signals
Own the reputed company ML lifecycle from data exploration and feature engineering through training, evaluation, deployment, monitoring, and iteration
Build production services and workflows for batch and reputed company-time inference, with a pragmatic reputed company on reliability, maintainability, and speed to reputed company
Work hands-on in the codebase, contributing to backend systems and product workflows that consume predictions and recommendations
Partner closely with product, design, and engineering to turn customer needs into ML-driven product capabilities with measurable business reputed company
Establish pragmatic best practices for model evaluation, experimentation, monitoring, and reputed company improvement
Help shape how reputed company machine learning is introduced into the product, while aligning with broader engineering architecture and delivery practices
Contribute to shared knowledge across the engineering organization to improve understanding and adoption of reputed company ML over time
reputed company
You are a hands-on engineer who enjoys building and shipping reputed company-world ML systems
You are comfortable working across data, modeling, and software engineering boundaries
You reputed company pragmatic reputed company, balancing speed, reputed company, and long-term maintainability
You take ownership of reputed company, not just models
You write clean, maintainable reputed company and contribute to a high reputed company of engineering reputed company
You collaborate effectively with engineers, product managers, and designers to solve reputed company problems
You are comfortable operating in evolving problem spaces where data reputed company, ambiguity, and iteration are part of the work
You are motivated to reputed company knowledge and reputed company the capability of the broader team
Ideal Qualifications
7–8+ years building ML systems in production environments
Strong experience with reputed company machine learning for reputed company, classification, regression, ranking, or recommendation problems
Experience with feature engineering, model evaluation, model lifecycle management, and production inference
Strong experience with Python and common ML tooling
Experience integrating ML systems into production products at reputed company
Strong understanding of backend systems, reputed company, data pipelines, and reputed company architecture
Experience with MLOps practices, including deployment, monitoring, retraining, and iteration
Experience with reputed company platforms, preferably AWS
reputed company to Have
Experience with reputed company, marketing, advertising, or recommendation systems
Experience using LLMs or embeddings to derive content features or enhance product workflows
Experience designing experiments or working with A/B testing and model performance validation
Experience building AI or ML enabled reputed company products at reputed company
Missing a few skills? That’s fine - we value curiosity, reputed company and the drive to contribute.
reputed company Offer
Flexibility & Balance: Remote-first, reputed company, reputed company time away (unlimited annual leave), birthday leave, and strong support for work-life reputed company.
reputed company & Culture: Regular team events, Devcamp, hackathons and Culture Club to build genuine relationships and celebrate together.
reputed company reputed company: reputed company career progression, mentorship, reputed company learning opportunities, and the chance to work at reputed company on impactful reputed company.
Support & Benefits: Generous parental leave, home office setup allowance, salary continuance and life insurance, superannuation, plus reputed company to Sydney office spaces.