$350 / month
Start free, decide later
Jay is a Principal Applied Science Manager at Microsoft. He has more than 15 years of experience in analytics and machine learning and more than eight years leading teams, including at Twitter, Snap, Kuaishou, and Microsoft. He has built teams and products in search, recommendation systems, data science, and AI and machine learning. He helps data scientists, analysts, and product managers advance in applied science, approach research tasks, and understand search and recommendation systems.
Based on 2 verified mentee reviews
I've worked at Twitter, Snap, Kuai shou and Microsoft building teams and products in Search and Recommendation, data science, and AI/ML, leading/managing anywhere from 2 to 30 person teams. I enjoy engaging in conversations from technical/engineering to existential.
My book on Building Recommender Systems Using Large Language Models: https://www.amazon.com/dp/B0FX7N91FQ/ref=tmm_kin_swatch_0
The AI visual content factory for creators and publishers:
https://www.curify-ai.com
I love mentoring and guiding data scientists, analysts and PMs. I've mentored 20+ at these companies and outside, and have encountered a sizable variety of situations and circumstances. I have provided consulting on data & AI to people of diverse backgrounds, from technical to executives and founders.
5 out of 5 stars
Jay is an awesome mentor and has helped me achieve my goals. His deep expertise and years of experience in AI, ML, Search and Recommendations helped a lot in our sessions together and I learned a ton from him on how to approach research tasks, how search and recsys works, and more. I would highly recommend finding Jay as a mentor, and I still look forward to finding time with him at some point in my journey.
Standard Plan • 1 year
5 out of 5 stars
Standard Plan • 11 months
5 out of 5 stars
Standard Plan • 3 months
In this presentation, I will do a reflection of kuaishou creator ecosystem, the talk is a blend of our personal …
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In this presentation, I'll talk about content understanding in feed recommendation. I will start with team vision and roadmap, then …
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You tell Jay your goals. They see exactly what you want to work on before session one.
You meet within days. Jay reviews your application and books your first session, usually within a day or two.
You leave with a plan. Concrete next steps and a weekly rhythm from your very first week.
Jay Wang
Principal Applied Science Manager at microsoft
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Book a free intro call with Jay
Connect with Jay in a quick call (usually 15-20 minutes)
One-off sessions with Jay
One-off sessions are a great option if you're looking for specific advice on a certain topic.
Whatever doesn't fit the mold: Get 30 minutes with a mentor to discuss your needs. Be it help with some code, discussing through an issue …
What's included in the trial?
Every trial is a little different–here's what Jay says about their trial:
We'll meet for a quick call (usually under 30 minutes) where we:
- Break the ice and introduce ourselves
- Discuss your goals and how I can support you
- Coordinate logistics like time zones, meeting frequency, and communication methods