Hire a Recommendation Systems Engineer for your team.
Builds ranking and personalization systems for products, content or feeds. Available full-time, part-time, hourly or by project.
- 7-day risk-free trial
- NDA and IP protection
- Onboard in 48 hours
Tell us who you need.
What a Recommendation Systems Engineer does for you.
Builds ranking and personalization systems for products, content or feeds. This role suits products with large catalogs or content feeds, where the right ordering can affect engagement and sales.
Core skills
- Collaborative filtering
- Two-tower models
- Ranking metrics
- A/B testing
- Frame the problem and prepare the data
- Train, tune and validate models
- Deploy models and monitor drift
- Explain results to business teams
When this role makes sense.
You have valuable data and a clear prediction goal
Off-the-shelf models fall short
Models work in notebooks but not in production
Ready to hire a Recommendation Systems Engineer?
Share your requirements and get matching profiles within 24 hours.
Three simple steps, no hiring fees.
Share your requirements
Tell us the role, the work and your goals. We share matching profiles within 24 hours.
Interview and select
Interview the people you like. Technical rounds and trial tasks are up to you, at no charge.
Onboard and start
Sign the NDA and the person joins your tools and meetings, usually within 48 hours.
Flexible terms, low risk.
7-day risk-free trial
Not satisfied in the first 7 business days? Get a replacement or end it at no charge.
NDA and IP protection
We sign both before work starts, and you own everything that is produced.
Free replacement
If the fit is wrong, we arrange a replacement with a structured handover.
Easy exit
Scale down or stop with 15 days’ written notice.
Looking for a different role?
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Still unsure? Talk to a strategist.
- Profiles within 24 hours
- NDA signed before any discussion
- 7-day risk-free trial
What does a Recommendation Systems Engineer do?
Builds ranking and personalization systems for products, content or feeds. Typical work includes: frame the problem and prepare the data; train, tune and validate models; deploy models and monitor drift; explain results to business teams.
How do we evaluate a Recommendation Systems Engineer?
Ask how they deal with new users and items, and how they test changes online. They should be able to explain the difference between offline scores and real impact.
What skills should a Recommendation Systems Engineer have?
Look for hands-on experience with Collaborative filtering, Two-tower models, Ranking metrics, A/B testing, plus clear communication and evidence of similar work.
When should we hire a Recommendation Systems Engineer?
This role is a good fit when: you have valuable data and a clear prediction goal; off-the-shelf models fall short; models work in notebooks but not in production.
How quickly can a Recommendation Systems Engineer start?
We share matching profiles within 24 hours. After you interview and choose, onboarding usually takes 48 hours.
Who owns the work?
You do. We sign an NDA and an IP assignment agreement before work starts, and everything produced belongs to your business.
What if the person is not the right fit?
Every hire starts with a 7-day risk-free trial. After that, you can request a replacement or end the engagement with 15 days’ written notice.