FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Expertise in deep learning and machine learning, with a strong focus on recommendation algorithms and data-driven methods. Proficient in leveraging advanced technologies such as Pytorch, Tensorflow, and Natural Language Processing to enhance content understanding and improve model performance.
Highest-signal resume keywords
Master's Degree In Computer SciencePytorch ExperienceTensorflow ExperienceRecommendation Algorithms ExperienceNatural Language Processing Experience
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Deep LearningMachine LearningPythonJavaSQLRMATLABScikit-learnHiveLATEX
Tools & Technologies
GitSpark
Industry Keywords
Recommendation SystemsData-Driven MethodsContent UnderstandingRapid ExperimentationHigh-Impact Environment
Tech Stack
Tools & technologiesJavaPythonPyTorchScikit-LearnSparkSQLTensorflow
About the role
Key responsibilities & impact- Build cutting-edge technology using advances in deep learning and machine learning to personalize Pinterest
- Partner with teams across Pinterest to experiment with and improve ML models for Homefeed, Ads, Growth, Shopping, and Search
- Use data-driven methods and Pinterest’s data to improve candidates’ retrieval and ranking
- Work in a high-impact environment with rapid experimentation and product launches
- Keep up with industry trends in recommendation systems
- Leverage LLMs and embeddings to enhance content understanding
Requirements
What you’ll need- Master’s degree (or foreign degree equivalent) in Computer Science, Statistics, or closely related quantitative discipline
- Three (3) years of experience in the job offered or a related software engineering field
- At least three (3) years of experience with Pytorch
- At least three (3) years of experience with Tensorflow
- At least three (3) years of experience with LATEX
- At least three (3) years of experience with Scikit-learn
- At least three (3) years of experience with SQL
- At least three (3) years of experience with Python
- At least three (3) years of experience with Java
- At least three (3) years of experience with Hive
- At least three (3) years of experience with Recommendation Algorithms
- At least three (3) years of experience with git
- At least three (3) years of experience with Spark
- At least three (3) years of experience with R
- At least three (3) years of experience with MATLAB
- At least three (3) years of experience with Natural Language Processing
- At least three (3) years of experience with Deep Learning
- US based applicants only
Benefits
Comp & perks- Equity eligibility
- Flexible work arrangements
- Medical or religious accommodation support
- Equal opportunity employment protections
