UNKNOWN

FEED

Deep, specialized expertise in causal inference and/or incrementality-based optimization - Randomized control trials, PIE model, instrumental variables, uplift DNN, regression discontinuity and related methods. You will own the methodology end-to-end, partner with engineering and product to carry solutions into production, and serve as the team's go-to authority on the hardest measurement problems.

YEAR

Walmart Inc

(USA) Distinguished, Data Scientist

We are looking for world class researchers with experience in one or more of the following areas - autonomous agents, API orchestration, Planning, large multimodal models (especially vision-language models), reinforcement learning (RL) and sequential decision making. You will have the opportunity to partner with technology and business teams to solve real-world problems, have access to virtually endless data and computational resources, and to world-class engineers and developers that can help bring your ideas into the world.

At Amazon, we don’t wait for the next big idea to present itself. We envision the shape of impossible things and then we boldly make them reality. So far, this mindset has helped us achieve some incredible things. Let’s build new systems, challenge the status quo, and design the world we want to live in. We believe the work you do here will be the best work of your life. 
Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet. 
It’s Always Day 1 
At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter <a href="https://hiring.amazon.com/why-amazon/culture#/">here</a> 
Our Leadership Principles 
Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit <a href="https://www.amazon.jobs/principles" target="_blank">https://www.amazon.jobs/principles</a>

Amazon.com Inc

Applied Scientist, AWS Quick

For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. You’ll help create mitigation intelligence and monitoring systems that enable OpenAI to detect issues early, measure effectiveness over time, and reduce both over-blocking (unnecessary friction) and under-blocking (missed harm).

OpenAI

Data Scientist, Preparedness

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Lead the design and execution of TPU performance optimization research, including kernel development, memory optimization, and compute efficiency improvements Develop and optimize Pallas kernels for large-scale model training and inference on TPU architectures Drive model optimization techniques including Mixture of Experts (MoE), tensor parallelism, pipeline parallelism, and other distributed training strategies Optimize first party models within Meta's native PyTorch stack, ensuring efficient integration with XLA compilation and TPU execution Identify and resolve complex technical challenges in model training efficiency, inference latency, and system reliability that require novel approaches Define and drive multi-quarter research roadmaps for TPU optimization, aligning project milestones with broader organizational goals Establish rigorous experimentation frameworks for performance benchmarking, including metric selection, profiling methodology, and data-driven optimization decisions Translate research findings into production-ready optimizations by collaborating with engineering teams on deployment pipelines and reliability at scale Communicate research findings and technical trade-offs clearly through publications, design documents, and presentations to both technical and non-technical audiences Mentor other researchers and engineers on TPU optimization techniques, providing structured feedback on technical direction and experimental rigorBachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 8+ years of experience in machine learning systems, model optimization, or high-performance computing research Experience with TPU architecture and performance optimization, including profiling, kernel development, and memory management Experience with XLA compilation, graph optimization, and low-level performance tuning for accelerator hardware Experience developing and optimizing large-scale distributed training systems, including parallelism strategies such as data, tensor, and pipeline parallelism Experience with PyTorch and its integration with accelerator backends Experience communicating complex technical findings in writing, including technical reports, design documents, or peer-reviewed publications Experience developing custom kernels using Pallas or similar kernel authoring frameworks for TPU or GPU Demonstrated track record of transitioning performance research into deployed systems used at significant scale PhD in Computer Science, Machine Learning, Computer Architecture, or a related technical field, or equivalent depth of research experience Publication record in systems for ML venues such as MLSys, OSDI, SOSP, or related AI conferences such as NeurIPS, ICML, or ICLR Experience with Mixture of Experts (MoE) architectures and their optimization for efficient training and inference Experience optimizing production-scale models with billions of parametersMeta builds technologies that help people connect, find communities, and grow businesses. In this role, you will lead high-impact research on model efficiency and optimization for first party models within Meta's native PyTorch stack, collaborating across research and engineering teams to drive AI capabilities that define Meta's next generation of products and platforms.

Meta Platforms Inc

Research Scientist, Artificial Intelligence

As an Applied Scientist with the FAI team, you will support the development of RL Gyms, assess their usefulness for the frontier model advancement and build techniques to advance the state of the art with LLMs. You start your morning reviewing experimental results from a model training run you kicked off the previous afternoon, analyzing metrics and refining your approach.

Sr. Applied Scientist, Frontier AI Assets

Serve as the final verifier for AI-proposed algorithm changes, reproduce results, design decisive ablations across model scales, rule out confounds such as evaluation leakage or unequal tuning budgets, and decide what moves forward. Build and own lean, high-performance training and evaluation code (JAX on Tensor Processing Units, with custom kernels where needed) allowing researchers and AI agents can test ideas at meaningful scale.

Google LLC

Staff Research Scientist, Gemini Research, DeepMind

You will serve as the computational lead for protein design campaigns, embedded within a world-class team of modeling and wet-bench scientists, with direct access to Adimab's industry-leading experimental capabilities to drive the design-build-test cycle. Take end-to-end ownership of computational protein design campaigns — from design generation through wet-lab collaboration, analysis of experimental data, and optimization of the design-build-test cycle.

Adimab

Scientist, Computational Protein Design

A criminal history may have a direct, adverse, and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment: 1. appropriately managing, accessing, and handling confidential information including proprietary and trade secret information, as well as accessing Procore's information technology systems and platforms; 2. interacting with and occasionally having unsupervised contact with internal/external customers, stakeholders, and/or colleagues; and 3. exercising sound judgment. As a Staff Applied Research Scientist, you’ll partner with ML engineers, software engineers, product managers, and construction domain experts to lead day‑to‑day technical execution for spatial intelligence initiatives.

Procore Technologies

Staff Applied Research Scientist (Datagrid)

Advance methods for mapping and characterizing the ocean soundscape—including ambient noise fields, acoustic propagation conditions (e.g., sound-speed structure and transmission loss), and the oceanographic and geoacoustic context that drives them. Design and conduct field experiments, at-sea data collection, data analyses, and modeling and simulation studies (including propagation and detection-performance modeling) to evaluate acoustic system performance under realistic ocean conditions.

Sofar Ocean

Principal Scientist - Underwater Acoustics

As an Applied Scientist with the FAI team, you will support the development of RL Gyms, assess their usefulness for the frontier model advancement and build techniques to advance the state of the art with LLMs. You will leverage Amazon's heterogeneous data sources and large-scale computing resources to accelerate advances in LLMs.

Sr. Applied Scientist, AGI

People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. Meta is seeking a Research Scientist to advance the frontiers of natural language processing and large language model research within Meta Superintelligence Labs.

Research Scientist, AI Language

Our products are being used at scale with external customers like Anthropic and Databricks as well as internal customers like Alexa, Amazon Bedrocks, Amazon Robotics, Amazon Ads, Amazon Rekognition and many more. The AWS Neuron Science Team is looking for talented scientists to enhance our software stack, accelerating customer adoption of Trainium and Inferentia accelerators.

Applied Scientist, AWS Neuron Science team

Today, we're recognised as a global leader in entertainment, producing the PlayStation family of products and services, including PlayStation5, PlayStation4, PlayStationVR, PlayStationPlus, acclaimed PlayStation software titles from PlayStation Studios, and more. Understanding of Online Experimentation (large-scale A/B tests) and Causal Inference methods, such as propensity score matching, synthetic control methods, and difference-in-differences, for accurately estimating causal relationships.

Sony Interactive Entertainment LLC

Data Scientist II - Decision Science

You will provide critical data-driven insights for platform responsibility and safety initiatives, including video content safety, live content safety, account security, privacy compliance, and moderation platforms, ultimately enhancing the safety experience for millions of users worldwide. Participate in the design and iteration of data products, productizing data analysis capabilities to provide business teams with more efficient and convenient data services.

TikTok Inc

Data Scientist - TikTok Integrity and Safety (San Jose)

Continuous Improvement: -Develops ideas, recommends updates, and/or collaborates on the implementation of process improvements to increase the efficiency and effectiveness of processes, protocols, and workflows across teams, and evaluates the impact on key stakeholders. Solution Identification: -Independently collaborates with science, engineering, and product teams to identify business and product needs to create and implement solutions, promote innovation, and drive model implementations.

For over three decades, Oracle has been the center of innovation for business software birthplace of the first commercially available relational database, the first suite of internet-based applications, and the next-generation enterprise-computing platform, Oracle Fusion. Today, Oracle provides the world's most complete, open, and integrated business software and hardware systems, with more than 370,000 customers including - 100 of the Fortune 100 - representing a variety of sizes and industries in more than 145 countries around the globe. And Oracle's 110,000 global employees - including 30,000 developers working full-time on Oracle products -are critical to that success.
Oracle Supports Workforce Diversity

Oracle Corp

Principal Applied Scientist

The candidate will have competency in several of the following areas: Several years of professional experience applying machine learning, artificial intelligence, advanced statistics, and data science to real-world engineering or manufacturing problems. We are a vertically integrated manufacturing company that develops innovative products for diversified applications in the industrial, optical communications, military, life sciences, semiconductor equipment, and consumer markets.

II-VI Optical Systems, Inc.

Principal AI Data Scientist - Wafer Fabrication

OTHER

The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position and may be inclusive of several career levels at Scale; it will be determined during the interview process based on work location and additional factors, including job-related skills, experience, qualifications, interview performance, and relevant education or training. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is: $302,400 — $378,000 USD PLEASE NOTE:  Our policy requires a 90-day waiting period before reconsidering candidates for the same role.

Scale AI

Senior / Staff Machine Learning Research Scientist, Agents

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Example areas of focus could include improving new-user onboarding and activation, converting occasional users into habitual users, increasing adoption of emerging AI experiences, optimizing high-traffic entry surfaces, improving feature discovery, developing lifecycle strategies, and building account-level adoption frameworks for enterprise customers, and translating new product capabilities into scalable Applied AI adoption motions. Diagnose adoption gaps and develop bottoms-up growth strategies for high-impact enterprise accounts, identifying where product, deployment, engagement, or organizational barriers are limiting growth and partnering with Applied AI and R&D leaders on targeted interventions.

Glean Technologies, Inc.

Senior Data Scientist, Growth

Our Research Group is composed of leading experts from top institutions and companies, recognized for their exceptional academic and industry contributions — including eight Best Paper awards at premier conferences and journals such as CVPR and ICRA. Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C. San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo.

Applied Intuition

Research Scientist - Humanoid Robotics

Scopely is a leading video game and global interactive entertainment company, home to many of the world's most beloved and enduring experiences, including two of the most successful mobile games of all-time "MONOPOLY GO!" and "Pokémon GO," along with "Stumble Guys," "Star Trek Fleet Command," "MARVEL Strike Force," "WWE Champions," the Scrabble franchise, "Yahtzee With Buddies," and many others. Whether building global sensations like "MONOPOLY GO!" from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Scopely Explore games businesses - Scopely consistently delivers experiences players love today and return to for years to come.

Jobs in Roxboro, NC

(USA) Distinguished, Data Scientist Walmart Inc

Applied Scientist, AWS Quick Amazon.com Inc

Data Scientist, Preparedness OpenAI

Research Scientist, Artificial Intelligence Meta Platforms Inc

Sr. Applied Scientist, Frontier AI Assets Amazon.com Inc

Staff Research Scientist, Gemini Research, DeepMind Google LLC

Scientist, Computational Protein Design Adimab

Staff Applied Research Scientist (Datagrid) Procore Technologies

Principal Scientist - Underwater Acoustics Sofar Ocean

Sr. Applied Scientist, AGI Amazon.com Inc

Research Scientist, AI Language Meta Platforms Inc

Applied Scientist, AWS Neuron Science team Amazon.com Inc

Data Scientist II - Decision Science Sony Interactive Entertainment LLC

Data Scientist - TikTok Integrity and Safety (San Jose) TikTok Inc

Principal Applied Scientist Oracle Corp

Principal AI Data Scientist - Wafer Fabrication II-VI Optical Systems, Inc.

Senior / Staff Machine Learning Research Scientist, Agents Scale AI

Senior Data Scientist, Growth Glean Technologies, Inc.

Research Scientist - Humanoid Robotics Applied Intuition

Senior Data Scientist, Marketing Scopely

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