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Machine Learning Engineer - Feed & Ranking Systems

Job in 110006, Delhi, Delhi, India
Listing for: Speed Radio
Full Time position
Listed on 2026-02-26
Job specializations:
  • IT/Tech
    Data Analyst, Machine Learning/ ML Engineer
Job Description & How to Apply Below
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 Linked In
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