Senior Machine Learning Engineer

Company Description

About us

Publift is a dynamic Adtech company dedicated to empowering online publishers and websites to maximize their revenue from display ads. We are passionate about driving publisher growth and have an amazing team committed to this mission.

Our innovative product boasts an impressive track record, delivering a remarkable 55% increase in revenue for publishers on average. This transformative impact can be especially profound for small businesses, a fact we take pride in.

Fuelled by recent enhancements in our sales capacity and product development efforts, Publift has experienced a rapid increase in growth. Currently achieving 60% year-over-year growth.

At Publift, we thrive in a lively, fast-paced environment characterized by a flat organizational structure.

Join us as we embark on this exciting journey of growth and innovation at Publift.

Whats on offer.

• While our preference is to hire someone based in Sydney, we do have fully remote staff across a number of business functions and are open to hiring
• We’re proud to be recognised as one of Australia’s Best Workplaces™ by Great Place to Work®, a Family Friendly Workplace, a WORK180 endorsed employer for women and WGEA Employer of Choice for Gender Equality.
• The support of a highly engaged, high-performing team including a leadership team that you’ll actually have face time with.
• 22 weeks paid parental leave for primary caregivers, four weeks paid secondary caregivers leave, six weeks paid gender affirming care leave.
• Monthly whole-of-company events, such as go-karting, VR, etc

Job Description

Publift's Data Science team are looking for a senior machine learning engineer to accelerate the implementation of novel machine learning products. You will be heavily involved in architectural and product design decision making and have a real impact on our customer's businesses.

What the day to day will look like:

• Designing and implementing end-to-end pipelines for model training, evaluation, and deployment.
• Automating a test framework for a suite of machine learning models. This may include:
  • Developing integration and regression tests for ML components and data pipelines.
  • Monitoring model performance and data drift using automated validation tools.
  • Building tools to simulate edge cases, production-like scenarios, and adversarial conditions.
• Operationalising and benchmarking shadow deployments to validate challenger model performance. This includes defining criteria for model promotion or rollback.
• Contribute to the research and development of new use cases or extend challenger models.

We are looking for someone who can:

• Prototype quickly.
  • You propose methods/techniques/technologies that improve the speed at which we deliver new models.
• Have a problem solving mindset.
  • You propose solutions and strategies that can tackle challenges within our ecosystem and demonstrate ways to iterate upon them.
• Challenge the status quo.
  • You can explain why a model is behaving the way it does and introduce challengers to account for these situations. Additionally, you can communicate the implications for the business/product.
• Communicate effectively.
  • You can communicate complex situations concepts clearly to both technical and non-technical stakeholders, articulating trade-offs and decision rationale.

Qualifications

• Minimum 5 years industry experience.
  • Ideal: Non-academic with clearly quantitative business outcomes.
• Demonstrated extensive knowledge of ML system design, from feature engineering to model selection and performance optimisation.
• Demonstrated ability to deploy rigorously tested challengers and define measurements of comparison with incumbents.
• Strong understanding of ML lifecycle, from data preprocessing to deployment and monitoring.
• Strong foundation in statistics, proficiency in Python and common ML frameworks and experience working with cloud platforms and containerised environments.
• Very strong BSc or equivalent record.
  • Ideal: MSc/PhD in Science/Engineering/Mathematics field.

Additional Information

A few other things we want to let you know about...

• Publift is an equal opportunity employer who prides themselves on fostering a diverse and inclusive workplace. We encourage everyone of all ages, genders and backgrounds to apply. If you’re a candidate with a disability or you’ll need some adjustments to be at your best, let us know how we can provide you with additional support.
• We believe work satisfaction comes from two things: working in an unbelievably great team and solving customer problems that matter.  
• Our flat organisation structure allows us to be nimble and innovative to drive both customer and personal growth.
• We know how important keeping that balance between work/life is and have a range of flexible working options on offer, including part time. We are open to this conversation during our recruitment process if you want to know more just ask!
• We are a proud Circle Back Initiative Employer which means we are committed to responding to every job applicant.
• Successful candidates joining the publift are required to undergo a National Police Record check and must have full-time Australian working rights on an ongoing basis.