Senior Algorithm Engineer, Opera
Performance Advertising
Web browser and software developer
Open for applications
Web browser and software developer
1001+ employees
Open for applications
1001+ employees
Company mission
To build the best teams, audiences and online experiences.
Role
Who you are
- Bachelor's degree or above in Computer Science, Mathematics, Statistics, Engineering, Machine Learning, or a related field
- 5+ years of experience developing machine learning, ranking, recommendation, advertising, or optimization systems
- Hands-on experience building algorithms for mobile app-install advertising, user acquisition, conversion optimization, or performance marketing platforms
- Strong programming skills in Python, C++, Java, Go, or similar languages, with experience building production-grade systems and deploying models into large-scale online serving environments
- Strong analytical, experimentation, and problem-solving skills with a track record of delivering measurable business impact
Desirable
- Strong understanding of CTR/CVR prediction, ad ranking, install prediction, bidding, auction optimization, and budget pacing
- Familiarity with RTB systems, campaign delivery optimization, LTV modeling, and ROAS optimization
- Experience building scalable machine learning solutions in high-throughput, low-latency environments
- Experience working with large-scale advertising, recommendation, search, or online decisioning systems
- Background from AdTech, mobile advertising, gaming, internet, e-commerce, or recommendation platform companies
What the job involves
- Opera is looking for a Senior Algorithm Engineer to join our Performance Advertising team and help build the machine learning and optimization systems that power mobile app-install advertising campaigns across our global advertising platform
- Working closely with Product, Engineering, and Data teams, you will develop and optimize algorithms supporting user acquisition, install prediction, conversion optimization, bidding, and campaign delivery
- This role offers the opportunity to solve complex optimization challenges at scale and directly impact advertiser performance, revenue growth, and user experience
- Design, develop, and optimize machine learning models and algorithms for ad ranking, conversion prediction, bidding, and campaign optimization
- Build solutions supporting mobile app-install advertising, install prediction, post-install event optimization, and ROAS-driven user acquisition campaigns
- Improve campaign delivery, budget allocation, and advertiser performance through data-driven optimization and large-scale experimentation
- Design, execute, and evaluate online experiments and A/B tests to measure the impact of algorithmic improvements
- Collaborate with Product, Engineering, and Data teams to translate business objectives into scalable advertising and machine learning solutions
Our take
An enormous percentage of the world's population uses a web browser regularly, with most of these using default browsers such as Microsoft Edge and Safari. However, whilst these browsers work fine for general internet browsing and tasks, they are often not optimised for the growing number of ways we interact with the web, and this can create negative user experiences and even privacy and security vulnerabilities.
Opera develops web browsers and software that are designed to meet the growing demands of online performance, privacy and security. In addition to its standard Opera and its gaming-optimised Opera GX browsers, the company also develops a game creation platform, video games, and mobile apps.
Opera’s web browser has been around for decades yet is often associated with open-source OS’ such as Ubuntu and Linux, something that may result in an accessibility challenge for the company. However, Opera’s portfolio of Web3-optimised software shows great potential to change this reputation and put it on the cutting edge of software development, online security, and privacy.
Freddie
Company Specialist at Welcome to the Jungle
Insights
8% employee growth in 12 months
Company
Company benefits
- International workplace: Our international team brings different perspectives and experiences, where all viewpoints are valued
- Professional skill development: We work on impactful products reaching over 300 million users, in a collaborative environment with talented peers, fostering knowledge exchange and growth
- Hybrid Work Environment: Flexible working arrangements, support hybrid work model to ensure that our team members have comfortable workspaces that fit the needs
- Smart workin technology: Top-notch working equipment, enabling you to work at your best and most productive capacity
Company HQ
Sandaker, Oslo, Oslo
Leadership
Lin Song
(CEO)Lin joined Opera in 2002 as a Senior Project Manager. Since then, they have held a number of roles and moved into the role of CEO in 2025.
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