Senior Applied Scientist - Recommendations
Senior Applied Scientist - Recommendations
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Job Description
We are seeking a Senior Applied Scientist with expertise in deep learning to join a crossfunctional team focused on developing largescale recommender systems. This role plays a key part in enhancing the user experience by ensuring relevant content and products are surfaced to customers in real time and at scale.
Youll be joining a team that owns the full lifecycle of the recommendation enginefrom research and prototyping through to production deployment and performance monitoring. This is a handson role where you will shape algorithmic direction mentor peers and help scale highimpact solutions across a fastmoving digital platform.
Key Responsibilities
Design develop and maintain largescale recommender systems using advanced machine learning techniques.
Conduct largescale experiments to test hypotheses and inform product decisions.
Deliver productiongrade models and pipelines that operate at high traffic volumes.
Stay current with developments in machine learning research and help integrate stateoftheart solutions.
Collaborate with engineers data scientists and product teams to define requirements and deploy features.
Mentor junior team members and support their technical growth.
Contribute to a culture of continuous learning inclusion and innovation across the organization.
Qualifications :
About You
You have practical experience building and scaling recommender systems or applying deep learning to complex problems in realworld settings.
Comfortable working in crossdisciplinary teams collaborating with both technical and nontechnical stakeholders.
Strong programming skills in a modern programming language and experience with common machine learning frameworks.
A solid grasp of software engineering principles and the full development lifecycle.
Able to lead by example offering mentorship and guidance within technical teams.
You may have contributed to academic or industry publications and are eager to remain engaged with the broader ML research community.
Additional Information :
Whats in it for you
Competitive compensation package and benefits
Access to continuous learning and development resources
Flexible working arrangements and wellbeing support
Paid annual leave including additional celebration days
Employee perks including product discounts and internal events
A collaborative and inclusive work culture
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
