Machine Learning Engineer - Feed & Ranking Systems

About Speed Radio Speed Radio is where the world meets to discover ideas, perspectives, and people through short spoken audio clips. Full-flavour listening without the fillers or filters. We exist to unlock the power of voice to shape beliefs, open conversations, and build community. Through one-minute spoken clips, we deliver inspiration and entertainment that keeps people switched on and dialed in while on the go. At Speed Radio, we value authenticity over artificiality, clarity over noise, and ownership over hierarchy. Every team member represents our brand externally in how we communicate, execute, and collaborate.

The Role This role owns the behavioural intelligence of Speed Radio. You are responsible for how discovery evolves, how ranking adapts, and how retention compounds through algorithmic decisions. Your work directly shapes what people hear next — and whether they come back.

What You Will Own Ranking Logic Define signal weighting across listens, skips, follows, shares Balance freshness vs familiarity Build anti-repetition and diversification systems Personalisation & Cold Start Design ranking pathways for new users Create exposure logic for new creators Experimentation Framework Run structured A/B testing Perform cohort-based performance analysis Statistically validate behavioural impact Production Integration Deploy ranking improvements into live environments Maintain model performance stability

What Success Looks Like Within 6 months: Clear engagement uplift tied to ranking iterations Reduced repetition fatigue Within 12 months: Measurable retention improvement attributable to discovery quality A stable, scalable experimentation loop driving ranking decisions

Requirements 2–4 years experience in machine learning or recommendation systems Strong experimentation discipline Experience working with behavioural or engagement data Comfortable shipping models to production Clear understanding of trade-offs between metrics and user experience

Profile We Are Looking For Analytical but product-intuitive Bias toward measurable impact Behaviourally aware Structured thinker High ownership mindset

How to Apply Apply via LinkedIn