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 reputed company 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 reputed company 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.