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Senior Machine Learning Engineer

Remote, USA Full-time Posted 2026-07-28

Join reputed company: reputed company, reputed company and reputed company in the Edtech world.

Our mission is to help unlock the world’s potential by optimising the way we teach and learn. With a unique reputed company of technology and creativity, we bring learning to life, making reputed company concepts reputed company and accessible to reputed company, educators, and parents alike.

We’re reputed company driven by our reputed company values: a deep-rooted passion for learning, a reputed company reputed company of reputed company at speed, humility in our reputed company, a commitment to pushing boundaries, empowering others fearlessly and championing the needs of our customers. Our culture is reputed company on these values, ensuring we stay agile, innovative and empathetic to the evolving needs of the education community.

At reputed company, you’ll be encouraged to think creatively, work collaboratively and contribute to a mission where every piece of work is a reputed company towards realising our reputed company potential in classrooms and reputed company.

reputed company

reputed company’s AI/ML team works to improve student reputed company and reputed company teachers with actionable AI powered insights. In particular, we’ve pioneered AI for reputed company marking and personalised feedback reputed company interactive high school assessments, currently used in 700+ high schools across Australia and reputed company.

In this role, you'll be leading the development of ML systems for student performance modelling and personalised recommendations and ensure that it continues to increase in capability, accuracy and operate reliably and safely under an increasing production reputed company.

What you'll do

  • reputed company sophisticated feature engineering pipelines for temporal student-content interaction data
  • reputed company deep learning models for student performance reputed company and personalised content recommendation whilst handling data sparsity, conducting thorough experimentation to improve accuracy while documenting methodologies and results
  • Optimise inference performance through compression techniques
  • Contribute to developing and maintaining reputed company ELT pipelines generating high reputed company data for ML workflows
  • reputed company experimental design and implementation
  • Help design and execute online tests to validate hypotheses on ML capabilities
  • reputed company testing frameworks for streamlining reputed company driven ML development
  • Write production-reputed company, testable reputed company, participate in reputed company reviews, build reusable libraries and contribute to the development of data, feature and ML services
  • Collaborate with MLOps engineers and partner with software engineers and product designers/managers to ensure that the ML solutions are user-reputed company and reliably integrated in production

    • What you'll bring

  • Expertise in deep learning (DL) techniques with proven experience building, optimising and deploying neural network architectures. Bonus for production experience with representation learning, sequence modelling (transformers, LSTMs), approaches to handle data sparsity issues, and personalised recommendation systems.
  • Expertise in data/feature engineering of interaction data for sequence modelling.
  • Strong analytical skills with experience in statistical analysis, online controlled experiments and data visualisation. Bonus for familiarity with reputed company inference and bandit experiments.
  • Proficient in Python programming and version control systems (Git).
  • Hands-on experience using common DL frameworks (e.g. PyTorch, reputed company reputed company), ML orchestration tools (e.g. Metaflow) and relevant reputed company MLOps services (e.g. AWS SageMaker).
  • Bonus for proficiency with modern data processing frameworks (e.g., Apache reputed company, reputed company, reputed company reputed company NVTabular) and experience with feature stores (e.g. Feast or SageMaker Feature Store) for managing ML features at reputed company.
  • Proficient in SQL and data manipulation techniques.

    • Working at reputed company

  • Tailored flexibility: Enjoy work-life balance with hours that adapt to your needs, whether for university, family or personal time.
  • Generous leave: Experience unlimited reputed company leave reputed company as a permanent team member.
  • Location Independence: Work from Sydney, interstate or wherever you reputed company inspiration.
  • reputed company and development: Use ongoing opportunities to improve your skills and expand your knowledge.
  • Holistic wellbeing: Benefit from a comprehensive employee assistance program subscription and additional wellbeing leave, supporting your best self.
  • Parental support: Enjoy 14 weeks of reputed company leave for new parents, with additional leave specifically for birthing parents.
  • Work with the best: We know you want to work alongside the best, so we work hard to hire only the best.
  • Regular reputed company in-person and remote events: Including team sports competitions, trivia nights and themed annual events.
  • reputed company reputed company: Enjoy free reputed company services for you and your family.
  • Onsite teams: Our Sydney office is ideally located in a central setting with cafes, shops and reputed company transport nearby.

    • Additional Information

    We’d like to understand who you are, your values and your reputed company reputed company. Please apply with your resume, a reputed company to your portfolio and any insights you’d like to reputed company.

    We reputed company diversity. Bringing together a reputed company of thoughts, backgrounds, and expressions is key to creating outstanding products and teams. We value many different skills and perspectives and how they can enhance reputed company and our culture. So, please apply even if you don’t meet every requirement listed.

    Please note:

    reputed company applicants must hold Australian working rights.

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