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Job Duties: Design, build, and deploy industrial-level machine learning models to solve critical problems in ad ranking, bidding, and optimization. Take full ownership of the ML lifecycle, from ideation and research to building scalable serving systems and maintaining models in production. Perform systematic feature engineering to transform raw, diverse data into high-quality features that drive model performance. Work closely with product managers, data scientists, and engineers to translate business challenges into effective ML solutions. Improve the reliability and stability of our ML systems by building robust monitoring, alerting, and automated retraining pipelines. Research new algorithms, stay up-todate with state-of-the-art ML techniques, and contribute to the team’s strategy and roadmap. Part-time telecommuting is an option. Hybrid work from the company offices in San Francisco, CA.
Requirements: Master’s degree, or its foreign degree equivalent, in Computer Science, Robotics, Engineering (any field), or a related quantitative discipline and two (2) years of experience in the job offered or in any occupation in related field.
Special Skill Requirements: (1) PII Data handling; (2) Kafka Infrastructure; (3) Data governance; (4) Batch data pipeline; (5) SLOs; (6) Graph service; (7) ML models; (8) XGboost; (9) LLM; (10) Google Cloud Platform. Any suitable combination of education, training and experience is acceptable. Part-time telecommuting is an option. Hybrid work from the company offices in San Francisco, CA.
Conditions
This job posting may span more than one career level.
In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, the company offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit the company's site .
To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies.
The base pay range for this position is: $216,700.00 - $303,400.00 USD
LI-DNI
In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.
The company is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. The company is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.
Benefits
Comprehensive Healthcare Benefits and Income Replacement Programs
401k with Employer Match
Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
Family Planning Support
Gender-Affirming Care
Mental Health & Coaching Benefits
Flexible Vacation & Paid Volunteer Time Off
Generous Paid Parental Leave
Submit a resume with references using the apply button on this posting or by email at: the company's site at Req. 1016.298.4.