---
title: 'Staff / Senior Research Engineer - Algo Brain at Taboola'
canonical: 'https://feeny.ai/job/staff-senior-research-engineer-algo-brain-taboola-taipei-a8rexeb785vb'
type: 'job'
last_seen: '2026-11-07'
---

# Staff / Senior Research Engineer - Algo Brain at Taboola

- **Company:** Taboola
- **Location:** Taipei, Taiwan
- **Posted:** 2026-11-05
- **Last confirmed live:** 2026-11-07
- **Apply:** https://www.taboola.com/careers/job/8264346?gh_jid=8264346

## Job description

Realize your potential by joining the leading performance-driven advertising company!

As a Research Engineer on Brain, a global R&D team in Taboola's Algorithms Craft Center, you'll play a vital role in advancing the deep learning models behind Taboola's recommendations and ads. This role is based in our Taipei office. It is a chance to do research that ships: you'll turn new ideas from deep learning and recommender systems research into working models at Taboola's scale, rethink how they are built, and see your work directly improve a live production system. You'll also help shape the methodology algorithm engineers across the company use to develop and improve models.

This role is open at Senior and Staff levels. At Senior level, you own model improvements end to end, from finding the opportunity to seeing the gain in production. At Staff level, you also set technical direction for a problem area, lead architecture changes across models and teams, and help the people around you grow through design reviews and mentoring. Both are individual contributor roles.

To thrive in this role, you'll need:

- Deep expertise in machine learning and deep learning, including designing model architectures for a specific problem domain, not only applying existing ones. Any large-scale domain counts: recommendation, ads, search, NLP, vision, speech.
- Strong hands-on model development: you design, implement and train deep learning models yourself, in any framework (TensorFlow, PyTorch or others).
- Proven depth, shown by at least one of: measurable improvements to machine learning models in production; papers at top venues such as KDD, RecSys, WWW, NeurIPS or ICML; top ranks in machine learning competitions such as Kaggle, KDD Cup or RecSys Challenge.
- Strong engineering skills to build your models end to end, so that what works offline can run in production.
- MSc or PhD in Computer Science, Mathematics, Statistics, Engineering or a related field, or equivalent research experience and expertise.
- Clear written and spoken English, for working with teams across time zones.

Bonus points if you have:

- Experience with large-scale recommendation, ads ranking or CTR/CVR prediction models.
- Experience with multi-task, multi-domain or user-sequence models.
- Experience defining ML experimentation and optimization methodology: how model variants are evaluated, compared, tuned and diagnosed.

How you'll make an impact:

- Find where our production models for CTR, CVR and value prediction can improve fundamentally: architecture, representation, training objectives, training regime.
- Design and implement new model architectures, adapting ideas from research and industry and creating new ones when existing methods do not fit.
- Take proven improvements to production together with the teams that own each model, and make sure the accuracy gain seen offline holds in production.
- Improve how models are developed across the company: standardize how models are evaluated, compared and optimized, and build tools that shorten the path from idea to a better model.

Our tech stack: TensorFlow, Spark and Airflow, on a heavily customized internal platform.

Why Taboola?

If you ask Taboolars what they love about working here, they’ll tell you they’ve been empowered to realize their full potential while growing and learning from smart, talented peers. They’ll also share more about:

- Adam Singolda, Taboola Founder and CEO, says: “You can copy anything from another business, but you can’t copy a company’s culture.”

- Well-being: Enjoy comprehensive benefits, a fully stocked kitchen, and location-specific perks.

- Flexibility: Hybrid work model with 3 days in-office and the option to come in more often if desired.

- Work with the biggest names: We work with some of the biggest names in the business. Our publisher partners include Yahoo, Conde Nast, Fox Sports, NBCU, ESPN, CBS, and E! Online. Our advertiser clients include Wells Fargo, Honda, Pinterest, Expedia and Honda.

Ready to realize your potential?

Taboola is an equal opportunity employer. We value diversity and are committed to fostering an inclusive environment. Employment is based on qualifications, merit, and business need.

Learn more about #TaboolaLife on [LinkedIn](https://www.linkedin.com/company/taboola/), [Facebook](https://www.facebook.com/Taboola/), [Instagram](https://www.instagram.com/taboola/), [X](https://twitter.com/taboola), [YouTube](https://www.youtube.com/user/TaboolaTV), & the [Taboola Life Blog](https://www.taboola.com/careers).

## About Taboola

Taboola empowers businesses to grow through performance advertising technology that goes beyond search and social and delivers measurable outcomes at scale.

Taboola works with thousands of businesses who advertise directly on Realize, Taboola’s powerful ad platform, reaching approximately 600M daily active users across some of the best publishers in the world. Publishers like NBC News, Yahoo, and OEMs such as Samsung, Xiaomi and others use Taboola’s technology to grow audience and revenue, enabling Realize to offer unique data, specialized algorithms, and unmatched scale.

#LI-Hybrid

## #LI-MT1

## About Taboola

## Core Business
- **Primary industry**: Digital advertising / Ad tech (content recommendation, native advertising, performance marketing)
- **Target customers**: B2B – publishers and advertisers of all sizes, from SMBs to large enterprises
- **Mission or purpose**: To help people discover what’s next and enable advertisers to reach audiences at scale on the open web.

## Products & Services
- **Realize**: Performance advertising platform that uses Taboola’s unique data and reach to drive high-intent conversions beyond search and social.
- **Taboola Feed**: In-feed native ad placements integrated into publisher content streams.
- **DeeperDive**: Contextual targeting solution that matches ads to article content.
- **Taboola News**: Ad placements within mobile news apps and home screens.
- **Taboola for Audience**: Audience extension and retargeting product.

## Market Standing
- **Valuation/Market Cap**: ~$1.14 billion (as of mid-2026) [linkedin.com](https://www.linkedin.com/company/taboola)
- **Key Metric**: Annual revenue of $1.9 billion (2024) [linkedin.com](https://www.linkedin.com/company/taboola)
- **Notable Investors/Partners**: Fidelity (led Series E), Yahoo (post-IPO equity), Evergreen Venture Partners. Key partnerships include major publishers and Yahoo.
- **Growth Signals**: 7.9% YoY employee growth (1,634 employees), 39 countries of operation, strong hiring despite market conditions, multiple Great Place to Work certifications globally.

## Competitive Advantages
- **AI-driven platform**: Heavy investment in machine learning for contextual targeting and performance optimization, differentiating from legacy click-driven native ads.
- **Scale and reach**: One of the largest content recommendation networks on the open web, serving billions of recommendations daily.
- **Data moat**: Proprietary user-engagement data across a vast publisher network enables superior ad targeting.
- **Strong publisher relationships**: Long-term contracts with top media sites create a defensible supply-side advantage.

## Strategic Focus
- **Moving beyond native advertising**: Evolving into a full-fledged performance advertising platform (Realize) to compete with Google and Meta in the open web.
- **AI investment**: Continued R&D to improve ad relevance and ROI for advertisers.
- **Expansion into new verticals and geographies**: Growing presence in emerging markets and diversifying product offerings (e.g., Taboola News).

## Why Work Here
- **Culture**: Consistently rated a top workplace – 4.2/5 on Glassdoor, certified Great Place to Work in 10 countries, Fortune Best Workplaces in NYC and Advertising & Marketing (2024, 2025), Built In Best Workplace (2024–2026). [builtin.com](https://builtin.com/company/taboola/faq/workplace-perception)
- **Work model**: Hybrid – 3 days in office, 2 remote (with flexibility to be in office more). Flexible Time Off (FTO) built on trust.
- **Perks**: Daily lunch credits or catered meals, stocked kitchens, wellness zones, game rooms, gender-neutral restrooms. Biannual performance reviews, internal mobility, and promotion from within.
- **Engineering culture**: 436 technical employees (21% of workforce), strong R&D presence in Israel (662 employees). Managers and specialists make up the largest seniority groups, offering clear growth paths.
- **Leadership**: CEO Adam Singolda has 91% approval on Glassdoor; monthly all-hands with transparent Q&A.

## Sources
1. [taboola.com – Careers](https://www.taboola.com/careers)
2. [linkedin.com – Taboola Company Page](https://www.linkedin.com/company/taboola)
3. [builtin.com – Workplace Perception FAQ](https://builtin.com/company/taboola/faq/workplace-perception)
4. [taboola.com – Homepage](https://www.taboola.com/)
5. [taboola.com – Jobs Search](https://www.taboola.com/careers/jobs)

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