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Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest. With more than 500 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life the

Deep understanding of deep learning, reinforcement learning, and large-scale model fine-tuning. Published research in areas of machine learning at major conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, etc. You'll also receive benefits including, but not limited to: Comprehensive health, dental a

Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest. With more than 500 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life the

With our recent Series F round, we're accelerating the abundance of frontier data to pave the road to Artificial General Intelligence (AGI), and building upon our prior model evaluation work with enterprise customers and governments, to deepen our capabilities and offerings for both public and priva

We are looking for Data Scientists to join our Monetization Engineering organization. Deep strategic analysisto answer core questions such as: How do we assess the trade-off between metrics change? How should we evaluate overall impact from changes in one component of the ads ecosystem?. Identify th

The ideal candidate will study the data types critical for advancing LLM-based agents, including browser and software engineering (SWE) agents. Success in this role requires a deep understanding of LLMs, planning algorithms, and novel approaches to agentic reasoning, as well as creativity in tacklin

As a Staff Machine Learning Engineer on this team, you will be the founding ML IC driving identity and conversion signal modeling across our pipeline so advertisers retain accurate, privacy-aware performance visibility as signals fragment and degrade. Establish ML development best practices (data qu

We are looking for a very experienced, machine learning engineer, who has also worked in ML infrastructure. You'll be part of Apple's internal AI, Search & Knowledge group that enables ML teams to iterate their projects faster, from: data engineering, labeling, training, online and offline evaluatio

Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest. With more than 600 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life the

Your initial first project will involve building algorithmic support for our deal teams, using machine learning, experimentation, and good old-fashioned analytics. Coach team members, promoting a culture of learning and evangelizing modern data science methods.

Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest. With more than 500 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life the

Software Engineer, Machine Learning Responsibilities:. Meta is seeking talented engineers to join our teams in building cutting-edge products that connect billions of people around the world. Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineeri

Strong understanding of machine learning and deep learning approaches and algorithms, and their applications to advertising, recommendation, and/or search domain. We're looking for a Principal Machine Learning Engineer to join the Ad Marketplace team at Snap!. Experience with TensorFlow, PyTorch, or

Lead the full Machine Learning (ML) life-cycle from data extraction and feature engineering to model training, validation, and deployment for critical marketing capabilities. Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in do

Experience in analytical techniques such as Machine Learning, Deep Learning and Optimization. Develop a deeper understanding of the business context and how it is changing. Building of GenAI and AI solutions, including but not limited to analytical model development and implementation, prompt engine

Role Overview: We are seeking a data scientist to join the engineering team for the Insider Risk Program. This role will collaborate closely with all parts of the Insider Risk Program, from driving program alignment to translating operational needs to applying software development and systems engine

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area. Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field. In this

Experience working cross-functionally with product, engineering, or design partners. MicrosoftAI #advancedstatistics #A/B #mathematicalEngineering #probabilities #bayesian #frequentist #HET #risk #hypothesis #variance #causation #effectSize #montecarlo #simulations #prior #uncertainty. This is a han

Improve search quality and experience by leveraging techniques such as learning-to-rank, embedding models, contrastive learning, multi-task learning, and reinforcement learning where appropriate. You have a deep understanding of machine learning theory, including supervised learning, ranking models,

A plan for getting interviews, not just learning skills. That's where SynergisticIT's JOPP comes in: it's designed to help you bridge from "capable professional" to "hire-ready engineer or data professional. Data Analytics / Data Engineering / Data Science / ML/AI.

A health technology company is seeking a Senior Data Scientist to enhance mental healthcare accessibility.This role involves working with cross-functional teams to analyze data, design experiments, and develop predictive models to drive meaningful outcomes.Ideal candidates will have 6+ years of expe

Your day‑to‑day responsibilities will span the full data lifecycle, from proactive exploratory data analysis and metrics design to leading deep dives and crafting and presenting executive‑level strategic reports. Proactively lead deep‑dive analyses to uncover insights into user behavior and

Work closely with Product, Engineering, Design, Ops, and Clinical stakeholders to define the questions, the metrics, the guardrails, and the decision rules. Practical modeling skill: feature engineering, model comparison, cross‑validation or backtesting, calibration, and post‑launch monitoring.

A leading technology consulting firm in Seattle is seeking a Data Scientist / ML Engineer.

This role entails building analytical infrastructure, defining success metrics, and conducting deep-dive analyses. The ideal candidate has strong skills in SQL, Python, and machine learning, with a proven track record of developing insights to optimize member acquisition.

About the job you’re consideringThe Data Scientist / ML Engineer will demonstrate excellent knowledge of ML algorithms (e. Responsible for developing and implementing AI-assisted marketing analytics solutions that address customer needs using data science and machine learning.

Front End Software Engineering II, Slack. Software Development Engineer - 2025 (US). Collaborate with engineers and junior data scientists on project delivery and model deployment.

A leading cloud storage company is seeking a Data Scientist to enhance product strategies based on critical analytics and user behavior insights.In this role, you will collaborate with cross-functional teams to develop customer insights, drive engagement through personalized solutions, and optimize

A technology company in Seattle is seeking an experienced Data Scientist to join their Data Insights team.This role focuses on applying statistical analysis to extract actionable insights from data, supporting product decision-making and feature development.Candidates should have a strong foundation

Join a forward-thinking company as a Data Scientist, where you'll play a pivotal role in shaping data-driven product development.Collaborate with cross-functional teams to establish key metrics, design A/B tests, and create dashboards that empower the entire organization.This role offers the opportu

A leading consulting firm based in Seattle is seeking a Senior Data Scientist to join their Data Insights team.This senior-level position emphasizes end-to-end ownership and requires a strong understanding of product analytics to provide actionable insights.The ideal candidate will have over 5 years

Programming Proficiency: Deep expertise with SQL, Python, R, or other statistical/mathematical programming tools; strong software engineering fundamentals a plus. Deep knowledge of experimentation, machine learning systems, and advanced statistical methods. Architect Data Platforms: Collaborate with

Key qualifications include 7+ years in data analytics, strong communication skills, and proficiency in SQL and machine learning.

We are looking for a versatile, curious, and energetic Principal Data Scientist to join our team of passionate and dedicated engineers. The focus is on defining, executing, and delivering product and technical features at scale quickly and promoting a diverse culture of cross-functional collaboratio

Build rules, algorithms and machine learning models to respond to and mitigate business risks in TikTok products/platforms, such as abusive accounts, fake engagements, spammy redirection, scraping, fraud, etc. Familiarity with machine learning or social/content online platform analytics. Bonus for p

A leading software company is looking for a Data Scientist to join its Data Insights team in Seattle.The role involves providing statistical analysis and generating actionable insights from product and business data.Key responsibilities include running A/B tests, developing KPIs, and collaborating w

Fully Remote - Overlap with PST working hours.Bluesky's vision is to make social more like the web itself.We're building a social media app, but beyond that, we've created a protocol that supports a broad ecosystem of applications and clients.Imagine a network of applications — from microblogging

The Global e-commerce Data Science team aims to maximize the efficiency of e-commerce transactions, lead product decision-making iterations, and achieve sustainable growth in revenue with data and scientific methods, through quantitative techniques such as mathematical statistics and machine learnin

Demonstrate curiosity and apply analytical skills to dive deep into data to find key insights that impact the business.

A renowned academic institution in Seattle seeks a temporary Full-Time Research Scientist 2 to manage and analyze data for various scientific research projects.Candidates should have a Bachelor’s degree in a related field and at least two years of relevant experience.Responsibilities include data

This role entails designing product health metrics, collaborating with engineering, and turning ambiguous questions into data solutions.

A leading social media company is seeking a Business Intelligence Data Scientist to produce insights into product behavior and support decision-making.With a fully remote setup and a requirement for PST working hours overlap, this role involves developing dashboards, analyzing user features, and wor

Collaborate with engineering teams on data logging, instrumentation, and ensuring the accuracy of product data pipelines. Apply statistical modeling and machine learning techniques to solve business problems (e. Partner with cross‑functional teams (Product, Engineering, Marketing, Sales) to define

Participate in the entire machine learning pipeline, including data preparation, feature engineering, model training, evaluation, and deployment. Passion for innovation and a continuous learning mindset. Collaborate with engineers to integrate Gen AI models into existing systems and workflows utiliz

Combining business acumen, statistical expertise, and machine learning knowledge, you’ll thrive in our collaborative, learning-focused environment. You’ll work with AWS tools including Redshift, SageMaker, Lambda, S3, and EC2, while contributing expertise in areas such as optimization, machine l

The Data Scientist III role involves leveraging machine learning and generative AI to enhance customer engagement and improve sales productivity, while also driving innovative solutions and strategies within the team. Leverage machine learning techniques and generative AI to outreach customers based