ML Engineering Lead at Saris AI tackling multi - modal AI systems in banking. Drive technical direction and build high - performing teams in an early - stage startup environment.
About the role
- Manager II leading a team of engineers developing machine learning systems for content recommendations. Driving technical direction and stakeholder communication to enhance user engagement at Pinterest.
Responsibilities
- Lead, mentor and grow a team of experienced backend and machine learning engineers in developing advanced signals, integrations and systems, which are integral to key Pinterest products across Discovery, Ads, and Growth.
- Provide thought leadership in content distribution and recommender systems by setting a long-term technical vision and advancing the state-of-the-art in the field. Act as the glue between content acquisition and recommendation pods becoming the expert in both these areas.
- Manage project execution and stakeholder communication, including roadmap planning, technical decision-making, risk mitigation, and progress updates to achieve business goals.
- Help the team solve difficult technical challenges such as:
- How to build new ML systems, candidate generators, features and models that can handle millions of new Pins every day with low latency to effectively distribute fresh content and be re-usable across recommendation surfaces?
- How to determine what fresh content our Pinners will be inspired by and predict their future engagement metrics?
- How to identify and remove biases from existing recommendation systems?
- How to experiment with and measure the impact of content acquisition changes on the user experience?
- How to enhance the titles of new content to increase their engagement?
Requirements
- 7+ years of industry experience, including 2+ years of management experience.
- Experience with developing and deploying large-scale machine learning systems in search and recommendations.
- Experience with big data technologies (e.g. Hadoop, Spark) and scalable realtime systems that process stream data (e.g Kafka, Flink).
- Experience applying NLP models and LLMs to content understanding and recommendation systems.
- Experience building and leading high performing teams within a visible business vertical .
- Experience working with numerous cross functional partners to drive a collective initiative.
- Bachelors degree in a technical field, or equivalent work experience.
Benefits
- Information regarding the culture at Pinterest and benefits available for this position can be found here.
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