Senior Machine Learning Engineer, Discover

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Machine Learning Engineer, Discover in Australia. This is a rare opportunity to architect and scale a next-generation discovery marketplace designed to connect millions of users with creators, communities, and products that help them grow. You will build and optimize the core recommendation engine powering a dynamic, feed-based experience — combining cutting-edge ML systems with thoughtful product design. Working in a fully remote, highly ambitious environment, you’ll collaborate closely with executive leadership, product, and engineering to redefine discovery in the creator economy. From embeddings and ranking models to experimentation frameworks, your work will directly shape product-market fit and large-scale consumer engagement. If you’re passionate about recommendation systems and thrive in fast-moving, high-ownership environments, this role offers both technical depth and transformative impact. Accountabilities

• Design, build, and scale the discovery feed and recommendation engine that powers how users find creators, communities, and digital products.
• Develop and iterate on large-scale ML systems, including embeddings, ranking models, personalization layers, and experimentation frameworks.
• Productionize machine learning models end-to-end, ensuring reliability, performance, and scalability in consumer-facing environments.
• Leverage data analysis, experimentation, and engineering intuition to make high-quality decisions that accelerate product-market fit.
• Collaborate closely with executive leadership, product, and cross-functional engineering teams to translate strategic vision into technical execution.
• Continuously optimize algorithm quality, relevance, and performance to deliver engaging, goal-oriented discovery experiences.
• Contribute to system architecture and backend engineering efforts that support real-time recommendations at scale.

Requirements

• 5+ years of hands-on software engineering experience, including at least 2+ years focused on machine learning, recommendation systems, or large-scale data products.
• Proven experience building or scaling feeds, ranking systems, or consumer-facing ML-driven discovery platforms.
• Strong backend and data engineering expertise, including system design and deploying ML models into production environments.
• Deep understanding of consumer application dynamics and the factors that drive engagement and product-market fit in discovery ecosystems.
• Experience working with experimentation frameworks, A/B testing, and performance optimization of ML systems.
• Comfortable operating in fast-paced, ambiguous environments with a strong bias toward experimentation and iteration.
• Exceptional problem-solving skills, curiosity, and drive to continuously learn new technologies and techniques.
• Fluent English communication skills (C2 level or equivalent), suited for remote, asynchronous collaboration.

Benefits

• Competitive salary range of $170,000 – $200,000 USD per year, plus equity.
• Fully remote work — operate from anywhere in the world.
• 35 days of paid time off annually, plus a paid sabbatical after 5 years.
• Comprehensive medical coverage (100% for you and your family) or medical reimbursement options where applicable.
• Parental leave to support growing families.
• Home office stipend to optimize your remote workspace.
• Learning & development stipend to support ongoing professional growth.
• Annual bonus potential for eligible roles.
• Twice-yearly, fully paid global company retreats in inspiring international locations.
• U.S.-benchmarked compensation philosophy regardless of location.

Why Apply Through Jobgether? We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.