Updated July 11, 2026

14 open positions

Recommendation Systems Jobs with a Great Work-Life Balance

Browse 14+ recommendation systems jobs at companies offering unlimited PTO and flexible hours—full pay and a better work-life balance. 2 new this week. Hiring companies include Pinterest, Cognitiv, and Airbnb.

Jobs

New This Week

Companies

Updated Daily

Machine Learning Engineer

3mo

Whering

RemoteUK

83 · Great4 day week100% pay

Lead Machine Learning Scientist, Search

Monzo

RemoteUK

55 · Good5 day weekGenerous Parental Leave£58k - £75k

Staff Applied Scientist - Knowledge Graphs & AI

Outreach

RemoteIndia

57 · Good5 day weekBest Place to Work

Senior Data Scientist, Guest Travel Insurance (Algorithms)

1mo

Airbnb

RemoteUSA

64 · Good5 day weekVery Flexible

Senior Staff Machine Learning Engineer, Trust

2mo

Airbnb

RemoteUSA

64 · Good5 day weekVery Flexible$244k - $305k

Sr. Machine Learning Engineer (Recommendation Systems)

1mo

Philo

RemoteUSA

60 · Good5 day weekUnlimited PTO

Staff Machine Learning Engineer

1mo

RemoteUSA

59 · Good5 day weekUnlimited PTO

Staff Product Manager, AI Safety

2mo

RemoteUSA

59 · Good5 day weekUnlimited PTO$165k - $339k

Manager II, Machine Learning Engineering, Core Engineering

2mo

RemoteUSA

59 · Good5 day weekUnlimited PTO$189k - $390k

Senior AI Engineer - Recommendation and Personalisation

17d

9fin

HybridLondon, UK

70 · Great5 day weekVery Flexible

Member of Technical Staff - Applied ML, RecSys

17d

Liquid AI

HybridBoston, USA

61 · Good5 day weekUnlimited PTO

Staff Research Scientist (AdTech/Recommendation Systems)

17d

Cognitiv

HybridBellevue, USA

60 · Good5 day weekUnlimited PTO$160k - $210k

Staff Research Scientist (AdTech/Recommendation Systems)

1mo

Cognitiv

HybridSan Mateo, USA

60 · Good5 day weekUnlimited PTO

PhD Fall Machine Learning Intern (ATG — Visual, Multimodal, and Recommender Systems)

2mo

HybridSan Francisco +3 more

59 · Good5 day weekUnlimited PTO$12,100/mo

Every role is a genuine reduced-hours position, manually curated and refreshed daily. How we curate

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Frequently asked questions

Everything you need to know about 4-day week jobs

Employers hiring for Recommendation Systems on this page include Pinterest, Cognitiv, and Airbnb. Recommendation Systems roles appear most frequently in engineering, data, and platform teams at companies that have adopted a reduced-hours schedule. Each listing indicates the seniority level and whether Recommendation Systems is a primary requirement or one of several preferred skills — expand any role above to see the full stack and responsibilities.

Recommendation Systems roles span the full seniority range — we list 14 open roles requiring Recommendation Systems across entry-level, mid-level, senior, lead, and staff/principal positions. Senior and above tend to dominate because employers offering reduced-hours schedules often lean toward experienced individual contributors who can deliver consistently in fewer hours. Filter by level in the sidebar to narrow the list above.

Lead with measurable outcomes over time spent — Recommendation Systems hiring managers at reduced-hours companies care about delivered value, not hours worked. Highlight projects where you shipped at a steady cadence, collaborated asynchronously, or reduced engineering toil through automation or tooling. Include concrete metrics (latency improvements, adoption numbers, cost reductions) rather than vague duty descriptions. Expand listings above to see the exact framing each employer uses in their job descriptions.

For the full-pay schedules here — 4-day weeks and 9-day fortnights — yes: you keep a full-time salary for a shorter week. Part-time and pro-rata roles instead scale pay to hours, and each listing makes the arrangement clear. Recommendation Systems roles in tech and data typically command premium rates at both reduced-hours and traditional employers; specific ranges depend on seniority, location, and sub-specialty (e.g. backend vs frontend, infra vs ML). Individual listings above show exact bands where the employer publishes them.

Depends on the role, but Recommendation Systems candidates who also demonstrate async communication, clean documentation, and cross-functional collaboration are typically strong fits for reduced-hours employers — those companies rely on written-first communication and high-context handoffs to operate on a compressed schedule. Technical-adjacent skills vary by stack. Browse the top skills shown in the sidebar to see which tags co-occur most often with Recommendation Systems on current listings.