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Data Scientist II, ML Infrastructure
ZigsawData Scientist II focused on ML Infrastructure at Pinterest. Driving innovations in ML measurement and production systems for enhanced platform capabilities.
Posted 7/23/2026full-timePalo Alto • California • 🇺🇸 United StatesJuniorMid-Level💰 $114,297 - $235,319 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and productionizing machine learning pipelines, with a strong foundation in ML theory and practical experience in developing tools that enhance organizational impact. Proficient in Python and familiar with distributed computing frameworks, capable of designing centralized ML platforms for efficient model management.
Highest-signal resume keywords
Machine Learning Production ExperiencePython ProgrammingWorkflow Management Tools (Airflow, Prefect, Jenkins)Deep Learning Frameworks (PyTorch, Ray)Causal Inference Methods
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Machine LearningCausal InferencePythonDeep LearningVersion ControlReproducible ML PipelinesFeature EngineeringModel EvaluationData-Driven FrameworksCentralized ML Platform Design
Soft Skills
Problem SolvingCollaborationEnthusiasm for Tool Building
Tools & Technologies
AirflowWandBRaySparkPrefectJenkins
Industry Keywords
Applied ScientistML EngineerResearch ScientistSoftware EngineerComputer Science
Tech Stack
Tools & technologiesAirflowJenkinsPythonPyTorchRaySpark
About the role
Key responsibilities & impact- Translate research-grade DS workflows (e.g., proxy metrics, staleness models) into production ML pipelines using Airflow, WandB & Ray while establishing reusable patterns for other teams.
- Apply and productionize causal inference methods using the production ML stack (propensity scoring, IPW, TMLE) to address high-stakes measurement questions beyond experimental capabilities. Build self-serve tooling to empower non-experts to derive rigorous causal insights at scale.
- Partner with ML engineers and product teams to identify opportunities for improved tooling, metrics, and measurement methods, unlocking step-change improvements in model quality and business outcomes.
- Leverage Pinterest's rich metadata and engagement signals to build data-driven frameworks, from feature importance to content deindexing, that improve platform efficiency and speed.
- Design and build centralized ML platform tooling to improve feature and model creation, evaluation, and trust, including production systems that operate daily at scale across all models.
Requirements
What you’ll need- 2+ years of hands-on experience as an applied scientist, ML engineer, research scientist or software engineer, with significant ML production experience.
- Strong Python skills; experience with PyTorch or equivalent deep learning frameworks; familiarity with distributed compute (Spark, Ray). Ray specifically is a strong plus.
- Enthusiasm for building tools and platforms that multiply the impact of an entire ML organization; not just solving one-off problems.
- Deep ML theory knowledge with extremely strong fundamentals that can help us reason about ML models from first principles.
- Proficiency in software development best practices including version control, code review, and reproducible ML pipelines.
- Experience with workflow management tools (Airflow, Prefect, Jenkins, or similar) for reliable ML pipeline orchestration.
- Bachelor’s/Master’s degree in a relevant field such as Computer Science, or equivalent experience.
Benefits
Comp & perks- 🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account Zigsaw Website LinkedIn All Job Openings 11 - 50 employees Founded 2016 Making Job-search and talent discovery simpler, faster and effective for Job-seekers. Data Scientist II, ML Infrastructure Job not on LinkedIn 🔥 24 minutes ago 🏢🏡 Palo Alto – Hybrid 💵 $114.3k - $235.3k / year ⏰ Full Time 🟢 Junior 🟡 Mid-level 📊 Data Scientist Apply Now Find Hiring Managers Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
- Translate research-grade DS workflows (e.g., proxy metrics, staleness models) into production ML pipelines using Airflow, WandB & Ray while establishing reusable patterns for other teams.
- Apply and productionize causal inference methods using the production ML stack (propensity scoring, IPW, TMLE) to address high-stakes measurement questions beyond experimental capabilities. Build self-serve tooling to empower non-experts to derive rigorous causal insights at scale.
- Partner with ML engineers and product teams to identify opportunities for improved tooling, metrics, and measurement methods, unlocking step-change improvements in model quality and business outcomes.
- Leverage Pinterest's rich metadata and engagement signals to build data-driven frameworks, from feature importance to content deindexing, that improve platform efficiency and speed.
- Design and build centralized ML platform tooling to improve feature and model creation, evaluation, and trust, including production systems that operate daily at scale across all models. 🎯 Requirements
- 2+ years of hands-on experience as an applied scientist, ML engineer, research scientist or software engineer, with significant ML production experience.
- Strong Python skills; experience with PyTorch or equivalent deep learning frameworks; familiarity with distributed compute (Spark, Ray). Ray specifically is a strong plus.
- Enthusiasm for building tools and platforms that multiply the impact of an entire ML organization; not just solving one-off problems.
- Deep ML theory knowledge with extremely strong fundamentals that can help us reason about ML models from first principles.
- Proficiency in software development best practices including version control, code review, and reproducible ML pipelines.
- Experience with workflow management tools (Airflow, Prefect, Jenkins, or similar) for reliable ML pipeline orchestration.
- Bachelor’s/Master’s degree in a relevant field such as Computer Science, or equivalent experience. Apply Now 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score Similar Jobs Data Science Tutor 🕒 October 1, 2025 x.ai 201 - 500 🤖 Artificial Intelligence 🔌 API Website LinkedIn All Job Openings Provide high-quality labels using proprietary tools to train xAI's models. Collaborate with technical staff to improve annotation tools and task design. 🏢🏡 Palo Alto – Hybrid 💵 $45 - $100 / hour 💰 $10M Series B on 2017-08 ⏰ Full Time 🟡 Mid-level 🟠 Senior 📊 Data Scientist View More Data Science Jobs 🌐 Worldwide Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or support@remoterocketship.com Search Search Jobs by country Search jobs by city Search jobs by job title Search entry-level jobs Search junior-level jobs Search senior-level jobs Search jobs by tech stack Search jobs by contract type Search remote internships Search remote part-time jobs Remote jobs Anywhere in the World Companies Hiring Anywhere in the World Companies Hiring Sales People Anywhere in the World Companies Hiring Software Engineers Anywhere in the World Resources Advice Tips for finding remote jobs Interview questions and answers Resume examples Cover letter examples Post a job Affiliates Privacy policy Terms of service Job board SEO course AI Apply Copilot OpenClaw job finder Find jobs using your resume Jobs by Country Remote jobs anywhere in the world (Worldwide remote jobs) Remote jobs United States Remote jobs Australia Remote jobs Brazil Remote jobs Canada Remote jobs France Remote jobs Ireland Remote jobs Germany Remote jobs Netherlands Remote jobs Spain Remote jobs UK Popular Jobs Remote data analyst jobs Remote customer support jobs Remote executive assistant jobs Remote marketing jobs Remote product designer jobs Remote product manager jobs Remote project manager jobs Remote recruiter jobs Remote sales jobs Remote software engineer jobs Jobs by Type Remote full-time jobs Remote part-time jobs Remote contract jobs Remote internship jobs Remote entry-level jobs Remote jobs with no experience required Remote junior jobs (1-3 years of experience) Digital nomad jobs Remote jobs with no degree required Freelance remote jobs Temporary remote jobs Remote jobs hiring now Stay at home mom jobs