MedStar Health
Sr. Staff Machine Learning Engineer, Homefeed
MedStar Health, San Francisco, California, United States, 94199
Overview
Pinterest helps Pinners discover and do what they love. Homefeed is literally the first surface Pinners see when they open the app and so it forms the front-and-center of the Pinterest experience for 400M+ pinners every month. The Homefeed Relevance team's mission is to recommend inspiring & engaging pins for all our Pinners. We are looking for a Tech Lead Architect who can drive cross-team engineering efforts for shipping ML-driven product experiences to our pinners. You'll have the opportunity to work on various innovative projects of new product experiences, build large-scale low-latency systems and state-of-the-art machine learning models, and deliver great impact to our pinners and business metrics.
Responsibilities
Improve relevance and the user experience on Homefeed
Work on state-of-the-art large-scale applied machine learning projects
Improve the efficiency and reliability of large-scale data processing and ML inference pipeline
Improve our engineering systems to improve the latency, capacity, stability and reduce infra cost
Qualifications
Languages: Python, Java
Machine Learning: PyTorch, Tensorflow
Big data processing: Spark, Hive, MapReduce
7+ years experience with Recommender system or User modeling, implementing production ML systems at scale
7+ years experience with large scale distributed backend service
Experience in working in Deep learning and Generative AI models
Experience in closely collaborating with product managers / designers to ship ML-driven user-facing product
Bachelors in computer science or equivalent experience
Relocation This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
In-Office Requirement
We let the type of work you do guide the collaboration style. That means we\'re not always working in an office, but we continue to gather for key moments of collaboration and connection.
This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.
US based applicants only
Compensation and Benefits We are committed to equitable compensation and transparency. We are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on location, travel, relevant prior experience, or particular skills and expertise.
Base salary range: $176,924 — $364,254 USD.
Information regarding the culture at Pinterest and benefits available for this position can be found here.
Our Commitment to Inclusion Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.
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Pinterest helps Pinners discover and do what they love. Homefeed is literally the first surface Pinners see when they open the app and so it forms the front-and-center of the Pinterest experience for 400M+ pinners every month. The Homefeed Relevance team's mission is to recommend inspiring & engaging pins for all our Pinners. We are looking for a Tech Lead Architect who can drive cross-team engineering efforts for shipping ML-driven product experiences to our pinners. You'll have the opportunity to work on various innovative projects of new product experiences, build large-scale low-latency systems and state-of-the-art machine learning models, and deliver great impact to our pinners and business metrics.
Responsibilities
Improve relevance and the user experience on Homefeed
Work on state-of-the-art large-scale applied machine learning projects
Improve the efficiency and reliability of large-scale data processing and ML inference pipeline
Improve our engineering systems to improve the latency, capacity, stability and reduce infra cost
Qualifications
Languages: Python, Java
Machine Learning: PyTorch, Tensorflow
Big data processing: Spark, Hive, MapReduce
7+ years experience with Recommender system or User modeling, implementing production ML systems at scale
7+ years experience with large scale distributed backend service
Experience in working in Deep learning and Generative AI models
Experience in closely collaborating with product managers / designers to ship ML-driven user-facing product
Bachelors in computer science or equivalent experience
Relocation This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
In-Office Requirement
We let the type of work you do guide the collaboration style. That means we\'re not always working in an office, but we continue to gather for key moments of collaboration and connection.
This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.
US based applicants only
Compensation and Benefits We are committed to equitable compensation and transparency. We are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on location, travel, relevant prior experience, or particular skills and expertise.
Base salary range: $176,924 — $364,254 USD.
Information regarding the culture at Pinterest and benefits available for this position can be found here.
Our Commitment to Inclusion Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.
#J-18808-Ljbffr