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deep learning engineer

NVIDIA

<div>
 NVIDIA seeks a senior software engineer to join the AI Networking co-design and benchmark R&amp;D team. In this pivotal role, the candidate is responsible for building and productizing machine learning tools. These include tools that use ML-based combinatorial optimization and build space exploration (DSE) techniques. These tools will be employed to optimize AI workloads across large GPU and CPU clusters, thereby ensuring the most efficient and productive utilization of system resources at data center scale. The role involves working on distributed Deep Learning, particularly within LLM training and inference stacks. A strong passion for collective communication and networking is desirable. The candidate will interact with diverse hardware and platforms, such as Host Channel Adapters (HCAs), Switches, CPUs, GPUs, and complete Systems.
 
 
 Furthermore, the role requires engagement across multiple software layers, including LLM applications, machine learning frameworks, and communication and computing libraries. The candidate will develop tools and methodologies using Machine Learning (ML) for comprehensive performance analysis and optimization, potentially incorporating learning-based agentic techniques. This work involves deep-diving across the software stack, from LLM applications and ML frameworks down to communication and computing libraries. This position offers a distinct opportunity to make significant contributions to the core infrastructure powering the next generation of large-scale AI systems.
 
 
 
 What You'll Be Doing
 
 
 
 <ul>
 <li>
 Design and implement resource allocation and combinatorial optimization techniques (e.g., reinforcement learning, LLM agents for DSE, Bayesian optimization and other multi-objective optimization techniques) to optimize LLM models at datacenter scale.
 </li>
 <li>
 Research, develop, and deploy AI/ML techniques to optimize large-scale Deep Learning (LLM) training and inference on NVIDIA supercomputers and distributed systems. This includes a focus on high-performance networking and NVIDIA communication libraries.
 </li>
 <li>
 Build and productionize ML-based tools for performance prediction and optimization, with a strong emphasis on networking aspects.
 </li>
 <li>
 Develop and deploy a scalable, reliable data curation pipeline capable of handling complex data types, such as time series and PyTorch model graphs, to effectively support the training of high-performance Machine Learning models.
 </li>
 <li>
 Collaborate across hardware and software teams to deliver valuable performance analysis insights.
 </li>
 <li>
 Lead performance test planning, establish performance targets for new technologies and solutions, and drive efforts to achieve those performance goals.
 
 
 </li>
 </ul>
 
 What We Need To See
 
 
 
 <ul>
 <li>
 Master's degree in Computer Science, Software Engineering, or equivalent experience.
 </li>
 <li>
 Experience applying machine learning techniques to computer architecture and system optimization problems. Desired experience involves leveraging ML at the intersection of at least two of the following areas: HPC, networking, and AI applications.
 </li>
 <li>
 Hands-on experience developing and deploying various learning algorithms (e.g., reinforcement learning, offline RL, supervised learning) to tackle optimization challenges within computer architecture, system design, or networking domains.
 </li>
 <li>
 Proficiency in building and using ML models with leading frameworks such as PyTorch or TensorFlow, or JAX.
 </li>
 <li>
 Proven ability to apply GNNs/transformers-based optimization to PyTorch model graph and Kineto execution traces.
 </li>
 <li>
 Expertise combining knowledge of NVIDIA GPUs, the CUDA library, and deep learning frameworks (TensorFlow/PyTorch) with networking concepts, including collective communication libraries (like NCCL) and protocols (such as RoCE and RDMA).
 </li>
 <li>
 Strong programming capabilities in Python, Bash, and C++.
 </li>
 <li>
 A collaborative teammate with effective communication and interpersonal abilities.
 
 
 </li>
 </ul>
 
 Ways To Stand Out From The Crowd
 
 
 
 <ul>
 <li>
 In-depth knowledge and experience with machine learning/reinforcement learning and frameworks.
 </li>
 <li>
 Comprehensive understanding of computer architecture, system architecture and networking.
 </li>
 <li>
 Extensive experience in applying machine learning techniques such as GNNs or related graph-based models.
 </li>
 <li>
 Knowledge in PyTorch, CUDA, and NCCL libraries.
 </li>
 <li>
 Proven software engineering/development skills
 
 
 </li>
 </ul>
 With competitive salaries and a comprehensive benefits package, NVIDIA is widely regarded as one of the most desirable technology employers in the world. Our teams are composed of some of the most forward‑thinking and driven engineers in the industry, and we continue to grow rapidly. If you are a senior data engineer passionate about building large‑scale, high‑impact data platforms, we&rsquo;d love to hear from you.
 
 
 Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 124,000 USD - 195,500 USD for Level 2, and 152,000 USD - 241,500 USD for Level 3.
 
 
 You will also be eligible for equity and benefits.
 
 
 Applications for this job will be accepted at least until April 28, 2026.
 
 
 This posting is for an existing vacancy.
 
 
 NVIDIA uses AI tools in its recruiting processes.
 
 
 NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
 
 
 , , JR2017100
 
 
</div>

Software Engineer, AI Networking- New College Grad 2026

Apple

Are you excited to tackle some of the most ambitious technical challenges in Apple Intelligence? Be involved in collaborating closely with our machine learning researchers, engineers, and data scientists? 
 
Together, you will orchestrate groundbreaking research initiatives and develop transformative products designed to build a significant impact for billions of users worldwide! 
 
As part of Apple&rsquo;s AI and Machine Learning org, we encourage and create groundbreaking technology for large-scale ML systems, computer vision, natural language processing, and multi-modal understanding and generation. 
 
The Data and Machine Learning Innovation (DMLI) team is looking for Machine Learning Engineer to explore new methods, challenge existing metrics or protocols, and develop new insightful practices that will change how we understand data and overcome real-world ML challenges. 
 
Description 
 
As a Machine Learning (ML) Engineer, you will be entrusted with the critical role of innovating and applying state of the art research in ML to tackle complex data problems. 
 
The solutions you develop will significantly impact Apple Intelligence, future Apple products and the broader ML development ecosystem. 
 
You will work with a multidisciplinary team to actively participate in Apple Intelligence&rsquo;s data-model co-design and co-develop practice. 
 
Your responsibilities will extend to the design and development of a comprehensive data generation and curation framework for Apple Intelligence foundation models at Apple. 
 
You will also be responsible to build robust model evaluation pipelines, integral to the continuous improvement and assessment of Apple Intelligence foundation models. 
 
Furthermore, you will have the opportunity to showcase your groundbreaking research work by publishing and presenting at premier academic venues. 
 
&quot;,&quot;responsibilities&quot;:&quot;Develop and implement techniques for creating high-quality synthetic datasets across a variety of domains, including vision, text, and audio data. 
 
Innovate and experiment with new approaches for synthetic data generation to improve the diversity, realism, and representativeness of datasets. 
 
Collaborate with multi-functional teams to understand data requirements and ensure that synthetic datasets are optimized for training foundation models. 
 
Crafting and implementing semi-supervised, self-supervised representation learning techniques for growing the power of both limited labeled data and large-scale unlabeled data. 
 
Develop pipelines and tools to automate synthetic data generation for large-scale AI experiments. 
 
Stay updated with the latest research and industry trends in synthetic data generation, foundational model training, and large-scale data engineering. 
 
Preferred Qualifications 
 
3+ years of experience with developing and evaluating ML applications, and demonstrated experience in understanding and improving data quality. 
 
Strong publication record in relevant conferences (e.g. CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, etc). 
 
Strong problem-solving and communication skills. 
 
Experience of multimodal large language model or image/video generation model training is a plus. 
 
Ph.D/MS degree in Machine Learning, Natural Language Processing, Computer Vision, Data Science, Statistics or related areas. 
 
Minimum Qualifications 
 
Demonstrated expertise in computer vision, natural language processing, and machine learning with a passion for data-centric machine learning. 
 
Deep understanding in multi-modal foundation models. 
 
Staying on top of emerging trends in generative AI and multi-modal LLM. 
 
Strong programming skills and hands-on experience using the following languages or deep learning frameworks: Python, PyTorch, or Jax. 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . 
 
Pay &amp; Benefits 
 
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $171,600 and $302,200, and your base pay will depend on your skills, qualifications, experience, and location. 
 
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

AIML - Sr Machine Learning Engineer, Data and ML Innovation

<div>Apple is where individual imaginations come together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us strengthening each other&rsquo;s ideas. That happens because every one of us believes that we can make something wonderful and share it with the world, changing lives for the better! Here, you&rsquo;ll do more than join something - you&rsquo;ll add something. 
 
The Information Intelligence team is redefining how billions of people use their devices to get information. We are an Applied ML team pushing the limits of question answering, assistant response ranking, and search technologies, while also responsible for a production service. We are part of a wider effort to power information across a variety of Apple products - including Siri, Spotlight, Safari, Messages, Lookup, and more. 
 
As part of our team, you will be leveraging and improving upon the latest deep learning techniques, such as LLM and RAG, in order to understand queries and user intents, rank documents, and find useful answers to users&rsquo; questions. Our team is responsible for training, fine-tuning and deploying these models at scale, using the latest advances for online inference optimization. 
 
As a Staff Machine Learning Engineer, you play a critical role in developing world-class Search and Q&amp;A experiences for Apple customers with cutting-edge search technologies and large language models. 
 
Description 
 
As a member of our fast-paced group, you&rsquo;ll have the unique and rewarding opportunity to shape upcoming products from Apple. Our team includes a diversity of backgrounds from applied scientists with a focus in NLP to experienced distributed systems engineers. As such, we are looking for candidates with in-depth understanding of machine learning fundamentals, applied machine learning experience, and strong software engineering skills. 
 
Our team is responsible for delivering next-generation Search and Question Answering systems across Apple products including Siri, Safari, Spotlight, and more. This is your chance to shape how people get information by leveraging your Search and applied machine learning expertise along with robust software engineering skills. You will collaborate with outstanding Search and AI engineers on large scale machine learning to improve Query Understanding, Retrieval, and Ranking, developing fundamental building blocks needed for AI powered experiences such as fine-tuning and reinforcement learning. This involves pushing the boundaries on document retrieval and ranking, developing sophisticated machine learning models, using embeddings and deep learning to understand the quality of matches. It also includes online learning to react quickly to change and natural language processing to understand queries. You will work with petabytes of data and combine information from multiple structured and unstructured sources to provide the best results and accurate answers to satisfy users' information-seeking needs.&quot;,&quot;responsibilities&quot;:&quot;Understanding product requirements then translating them into modeling and engineering tasks 
 
Analyzing search ranking and relevance requirements, issues, and opportunities 
 
Utilizing PyTorch, TensorFlow, or JAX for training and deploying deep learning models 
 
Building ML models for retrieval, relevance ranking, or query understanding 
 
Preferred Qualifications 
 
PhD in Computer Science, Artificial Intelligence, Machine Learning, Information Retrieval, Data Science or related field 
 
Strong industry background and experience in search and related technologies (LLMs, Machine Learning, NLP, Information Retrieval, Question Answering) 
 
Strong and validated experience of ML development and production systems 
 
Experience working with foundation models and LLMs 
 
Minimum Qualifications 
 
<ul><li>Understanding product requirements then translating them into modeling and engineering tasks</li></ul> 
<ul><li>Analyzing search ranking and relevance requirements, issues, and opportunities</li></ul> 
MS in Computer Science or related field 
 
10+ years of work experience in machine learning, deep learning or related field 
 
10+ years experience in shipping Search and Q&amp;A technologies and ML systems 
 
Excellent programming skills in mainstream programming languages such as C++, Python, Scala, and Go 
 
Experience delivering tooling and frameworks to evaluate individual components and end-to-end quality 
 
Strong analytical skills to systematically identify opportunities to improve search relevance and answer accuracy 
 
Strong written and verbal communication with the ability to articulate complex topics 
 
Excellent interpersonal skills and teamwork; demonstrated ability to connect and collaborate with others 
 
Passion for building phenomenal products and curiosity to learn 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . 
 
Pay &amp; Benefits 
 
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $171,600 and $302,200, and your base pay will depend on your skills, qualifications, experience, and location. 
 
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.</div>

Staff Machine Learning Engineer, Information Intelligence

JPMorganChase

<div>JOB DESCRIPTION 
If you are looking for a game-changing career, working for one of the world's leading financial institutions, you&rsquo;ve come to the right place.
As a Principal Software Engineer at JPMorganChase within the Core Foundational Platforms team, you provide expertise and engineering excellence as an integral part of an agile team to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Leverage your advanced technical capabilities and collaborate with colleagues across the organization to drive best-in-class outcomes across various technologies to support one or more of the firm&rsquo;s portfolios. You will lead virtual and direct teams of developers, teaching them best practices in high-performance computing (HPC) practices that intersect with AI/ML. Thus, you are collaborative&mdash;especially since you will work closely with cross-functional teams comprised of data scientists, business analysts and other engineers. You will infuse the JPMorgan developer community with an appreciation of the impact that HPC can have by delivering software that consistently outperforms other platforms. You will deliver a variety of options to serve our various business needs-sometimes driven by low-latency; other times driven by throughput or low power.
Job responsibilities<ul><li>
Creates complex and scalable coding frameworks using appropriate software design frameworks</li><li>
Develops secure and high-quality production code, and reviews and debugs code written by others</li><li>
Advises cross-functional teams on technological matters within your domain of expertise</li><li>
Serves as the function&rsquo;stechnical, go-to subject matter expert</li><li>
Contributes to the development of technical methods in specialized fields in line with the latest product development methodologies</li><li>
Creates durable, reusable software frameworks that are leveraged across teams and functions</li><li>
Influences leaders and senior stakeholders across product, data science and technology teams</li><li>
Champions the firm&rsquo;s culture of diversity, opportunity, inclusion, and respect</li><li>
Using telemetry, create measurable frameworks for deciding amongst hardware and software options</li><li>
Publish and support re-usable patterns to optimize training and inference of ML models on various architectures</li><li>
Support developer community in learning lessons from high-performance computing (HPC) domain</li></ul>
Required qualifications, capabilities, and skills<ul><li>
Formal training or certification on software engineering concepts and 7+ years applied experience</li><li>
Hands-on practical experience delivering system design, application development, testing, and operational stability</li><li>
Advanced knowledge of software application development and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g. LLMs, High-performance computing (HPC), etc.)</li><li>
Experience applying expertise and new methods to determine solutions for complex technology problems in one or more technical disciplines</li><li>
Ability to present and effectively communicate with Senior Leaders and Executives</li><li>
Master&rsquo;s Degree in Computer Science
</li><li>8+ years of experience in high-performance computing software</li><li>
5+ years of experience with at least one type of accelerator</li><li>
3+ years of experience in deep learning, particularly large language models</li><li>
Deep familiarity with HPC software (e.g., NCCL, MPI) and resource schedulers (e.g., Kubernetes, SLURM)</li><li>
Strong programming skills in Python, scripting, C, C++ with experience in AI/ML frameworks like PyTorch and LangChain</li></ul>
Preferred qualifications, capabilities, and skills<ul><li>
PhD preferred (Computer Science, Computer Engineering, Mathematics, or related discipline).</li><li>
Practical cloud native experience</li><li>
Experience in large organizations and regulated industries is a plus</li><li>
Hands-on experience with CUDA for GPU programming and performance optimization preferred.</li><li>
Excellent communication skills and the ability to work collaboratively in a dynamic team environment</li><li>
Publish and support re-usable patterns to optimize training and inference of ML models on various architectures</li><li>
Experience in high‑performance computing within national labs or academic research environments, including large‑scale distributed systems and accelerator‑based workloads.</li></ul>
This position is subject to Section 19 of the Federal Deposit Insurance Act. As such, an employment offer for this position is contingent on JPMorgan Chase&rsquo;s review of criminal conviction history, including pretrial diversions or program entries.
ABOUT US 
<div>
<div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
</div><div>We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
<div>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans 
</div></div></div> 
 
ABOUT THE TEAM 
 
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we&rsquo;re setting our businesses, clients, customers and employees up for success.</div>

Principal Software Engineer - High Performance Computing

Nordstrom

<div>
 Nordstrom is a specialty retailer offering the very best in fashion and customer service since 1901. We live by five simple values that guide how we work together day-to-day and how we deliver analytics &amp; data science products. We are customer-obsessed, owners at heart, curious and ever-changing, we extend ourselves to our peers and our customers, and we&rsquo;re here to win!
 
 
 The Digital Data Science team focuses on building and supporting AI/ML-powered products that shape the Nordstrom digital customer experience, including personalization and recommendation systems, conversational search, fraud detection, and other customer-facing intelligent features. As an integral part of our digital data science team, the Data Scientist I works alongside senior data scientists to develop and evaluate machine learning models that drive these products. This Data Scientist should have foundational knowledge of modern deep learning architectures, solid analytical skills to support model performance assessment through A/B testing and post-launch analysis, and the ability to communicate data insights and findings clearly to partners and the business.
 
 
 The ideal candidate is a creative self-starter and strong technical contributor who is always looking for new opportunities to solve business problems with data-driven tools. The individual should be highly curious about the business and possess the skills to unlock rich, nuanced insights from complicated data and communicate those insights in a way that drives positive business outcomes.
 
 
 We are committed to building teams that reflect the diversity of our customers and active inclusion is core to how Nordstrom wins. We&rsquo;re an equal opportunity employer and encourage individuals from all backgrounds to apply. If the idea to make a difference in this vibrant intersection of fashion, data science, and technology excites you, join our world-class data science team!
 
 
 A day in the life...
 
 
 <ul>
 <li>
 Collaborate with product, engineering, and cross-functional partner teams to build and improve ML-powered digital products such as personalization, recommendation, conversational search, and fraud detection systems.
 </li>
 <li>
 Design, train, fine-tune, and evaluate deep learning models, including transformer-based architectures, for applications such as recommendation, ranking, natural language understanding, and anomaly detection.
 </li>
 <li>
 Extract and prepare large sets of data for analysis; improve existing data resources by building data pipelines using AWS/GCP tools and other cloud services.
 </li>
 <li>
 Support senior data scientists on model deployment, contributing to prototyping, training, testing, and monitoring, while learning production serving best practices.
 </li>
 <li>
 Work within and across teams to develop and deploy data products and data-driven software, driving collaboration and adoption on major data-science initiatives.
 </li>
 <li>
 Support A/B testing and post-launch analysis to measure model impact, help diagnose why models are or are not working, and contribute to data-informed iteration on product features.
 </li>
 <li>
 Help develop and drive adoption of best practices in all aspects of the Data Science workflow, including intake, design, code review, testing, automation, documentation, reporting, and long-term maintainability.
 </li>
 <li>
 Actively learn from senior data scientists and analysts, growing in both technical skills and business acumen while contributing fresh perspectives to the team.
 
 
 </li>
 </ul>
 
 Minimum Qualifications Include&hellip;
 
 
 
 <ul>
 <li>
 1&ndash;3 years of hands-on professional experience in Data Science, Analytics, or a related quantitative field (including internships or research positions).
 </li>
 <li>
 1+ years of working experience with Python or R, including data manipulation, analysis, and visualization.
 </li>
 <li>
 Experience working in a highly collaborative technical environment (e.g., code sharing, using revision control, contributing to team discussions/workshops, and document sharing).
 </li>
 <li>
 1+ years of working experience with machine learning and deep learning algorithms, including familiarity with transformer architectures and modern neural networks (e.g., attention mechanisms, embeddings, fine-tuning pre-trained models, as well as classical methods such as gradient boosting, collaborative filtering, etc.).
 </li>
 <li>
 1+ years of working experience extracting and manipulating data using SQL; exposure to big-data tools such as Hive or Spark is a plus.
 </li>
 <li>
 Master's degree in Data Science, Analytics, or Statistics
 </li>
 <li>
 Exposure to ML model deployment workflows and A/B testing concepts; eagerness to learn production ML practices.
 </li>
 <li>
 Passion and aptitude for turning complex business problems into concrete hypotheses that can be answered through rigorous data analysis and experimentation.
 </li>
 <li>
 Ability to communicate analytical findings clearly to technical and non-technical audiences.
 
 
 </li>
 </ul>
 Our ideal candidate has&hellip;
 
 
 <ul>
 <li>
 Experience contributing to data science projects in a team setting (academic, internship, or professional).
 </li>
 <li>
 Experience developing packages in Python along with clear documentation.
 </li>
 <li>
 Exposure to ML model serving or deployment tools (e.g., SageMaker, AzureML, Docker, Flask) through coursework, personal projects, or internships.
 </li>
 <li>
 Experience developing and deploying automated data pipelines using cloud services (e.g. AWS/GCP).
 </li>
 <li>
 Strong background in model explainability, interpretability, and diagnostics&mdash;ability to systematically analyze and articulate why a model is or is not performing as expected.
 </li>
 <li>
 Experience with causal inference and experimentation frameworks, including designing and analyzing online experiments to measure incremental model impact.
 </li>
 <li>
 Familiarity with digital product domains such as personalization and recommendation engines, conversational/semantic search, fraud detection, or similar real-time, customer-facing ML applications.
 </li>
 <li>
 Eagerness to learn from experienced data scientists and a proactive attitude toward professional growth.
 </li>
 <li>
 Experience with NLP, LLM integration, or retrieval-augmented generation (RAG) pipelines for search or conversational AI applications is a plus
 
 
 </li>
 </ul>
 You&rsquo;ll love this Job If You
 
 
 &hellip;are a self-directed individual who operates with passion, urgency, focus, and discipline&hellip; put simply, you get stuff done.
 
 
 &hellip;have problem solving skills that are unparalleled&hellip;you are scrappy and resourceful
 
 
 &hellip;are an adaptable team player. You will enthusiastically take on other assignments as needed to support your team!
 
 
 &hellip;are detailed-oriented with a passion for data-driven decision-making balanced by a deep appreciation of uncertainty and the inherent limitations of data analysis
 
 
 &hellip;are someone who appreciates diversity in all its forms
 
 
 &hellip;are someone who appreciates a company that values and encourages work-life balance
 
 
 
 We&rsquo;ve got you covered&hellip;
 
 
 
 
 Benefits
 
 
 
 Our employees are our most important asset and that&rsquo;s reflected in our benefits. Nordstrom is proud to offer a variety of benefits to support employees and their families, including:
 
 
 <ul>
 <li>
 Medical/Vision, Dental, Retirement and Paid Time Away
 </li>
 <li>
 Life Insurance and Disability
 </li>
 <li>
 Merchandise Discount and EAP Resources
 
 
 </li>
 </ul>
 A few more important points...
 
 
 The job posting highlights the most critical responsibilities and requirements of the job. It&rsquo;s not all-inclusive. There may be additional duties, responsibilities and qualifications for this job.
 
 
 For Los Angeles or San Francisco applicants: Nordstrom is required to inform you that we conduct background checks after conditional offer and consider qualified applicants with criminal histories in a manner consistent with legal requirements per Los Angeles, Cal. Muni. Code 189.04 and the San Francisco Fair Chance Ordinance. For additional state and location specific notices, please refer to the Legal Notices document within the FAQ section of the Nordstrom Careers site.
 
 
 Applicants with disabilities who require assistance or accommodation should contact the nearest Nordstrom location, which can be identified at www.nordstrom.com.
 
 
 Please be mindful that there may be legal notices and requirements related to this job posting that are specific to your state. Review the Career Site FAQ&rsquo;s for relevant information and guidelines.
 
 
 &copy; 2022 Nordstrom, Inc
 
 
 Current Nordstrom employees: To apply, log into Workday, click the Careers button and then click Find Jobs.
 
 
 Nordstrom keeps job postings open for at least one day after the posting date.
 
 
 
 Pay Range Details
 
 
 
 The pay range(s) below has been provided in compliance with state specific laws. Pay ranges may be different for other locations.
 
 
 Pay offers are dependent on the location, as well as job-related knowledge, skills, and experience.
 
 
 $121,500.00 - $188,500.00 Annual
 
 
 This position may be eligible for performance-based incentives/bonuses. Benefits include 401k, medical/vision/dental/life/disability insurance options, PTO accruals, Holidays, and more. Eligibility requirements may apply based on location, job level, classification, and length of employment. Learn more in the Nordstrom Benefits Overview by copying and pasting the following URL into your browser: https://careers.nordstrom.com/pdfs/Ben_Overview_16.pdf
 
 
</div>

Data Scientist - Digital Data Science - Hybrid - Seattle, WA

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
As part of the Agentic WorkSpaces organization, we empower millions of professional users&mdash;spanning enterprises, research institutions, and government agencies&mdash;through AWS WorkSpaces, a cloud-based desktop and application management platform. Our mission is to redefine productivity for users navigating complex legacy application environments by deploying agentic AI solutions that bridge the gap between generative AI and real-world enterprise workflows. 
 
We combine Amazon&rsquo;s deep operational expertise with a relentless focus on innovation to deliver AI experiences that are intuitive, scalable, and transformative. Where legacy systems pose unique challenges, we become the trusted partner for customers seeking to automate, optimize, and future-proof their workflows. 
 
The Senior Applied Scientist will lead the development of LLM-driven agentic systems tailored to AWS WorkSpaces environments. This role demands pioneering scientific approaches to solve unresolved problems at scale, balancing rapid iteration with rigorous evaluation. Success hinges on your ability to design, implement, and validate AI solutions that empower users to work smarter in legacy-heavy ecosystems. 
 
Key job responsibilities 
<ul><li>Architect agentic AI systems that leverage LLMs, computer vision, and computer-use techniques to interact with legacy applications within AWS WorkSpaces.</li><li>Build evaluation frameworks to quantify agent performance, reliability, and user impact in real-world, unstructured environments.</li><li>Fine-tune and deploy domain-specific LLMs for workspace use cases, ensuring efficiency, safety, and alignment with enterprise requirements.</li><li>Collaborate cross-functionally with peer teams (e.g., troubleshooting, onboarding, security) to embed AI capabilities across the WorkSpaces product suite&mdash;from strategic visioning to hands-on implementation.</li><li>Drive operational excellence by delivering high-quality, production-ready science components that meet Amazon&rsquo;s standards for robustness, reproducibility, and scalability.</li></ul> 
About the team 
Agentic WorkSpaces AI is the core science team within the Agentic WorkSpaces organization, dedicated to building LLM-driven agentic solutions that empower AWS WorkSpaces users&mdash;particularly in legacy application environments where modern AI struggles. We design, develop, and deploy intelligent agents leveraging LLMs, computer vision, and computer use to automate complex workflows. Collaborating closely with peer teams across troubleshooting, onboarding, and other critical areas, we integrate AI capabilities that enhance the entire WorkSpaces experience. Our work balances rapid innovation with rigorous evaluation and ethical alignment, delivering scalable, enterprise-ready solutions for millions of users worldwide.</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>5+ years of building machine learning models for business application experience</li><li>PhD, or Master's degree and 6+ years of applied research experience</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience with neural deep learning methods and machine learning</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience working with cross-functional teams across business development, marketing, operations, product development, legal, etc.</li><li>Expertise in computer vision or computer-use automation (e.g., UI interaction, screen understanding) to tackle unique legacy system challenges.</li><li>Experience fine-tuning LLMs for domain-specific applications, optimizing for efficiency, safety, and enterprise requirements.</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, NY, New York - 183,800.00 - 248,700.00 USD annually 
USA, WA, Seattle - 167,100.00 - 226,100.00 USD annually</div>

Senior Applied Scientist, Agentic WorkSpaces AI

<div><h2 class="jobSectionHeader">DESCRIPTION</h2>
We are working on improving shopping on Amazon using the conversational capabilities of large language models and through customer behavioral data to make them more personalized for each customer. We are searching for pioneers who are passionate about technology, innovation, and customer experience, and are ready to make a lasting impact on the industry. In this role, you will be managing a team working on Large Language Model (LLM) and/or Vision-Language Model (VLM) post-training and alignment for new shopping experiences. You&rsquo;ll be working with talented scientists, engineers, and technical program managers (TPM) to innovate on behalf of our customers. If you&rsquo;re fired up about being part of a dynamic, driven team, then this is your moment to join us on this exciting journey!<h2 class="jobSectionHeader"> 
BASIC QUALIFICATIONS</h2><ul><li>3+ years of scientists or machine learning engineers management experience</li><li>Knowledge of ML, NLP, Information Retrieval and Analytics</li><li>PhD in Computer Science, Computer Engineering, or related technical field; OR Master's Degree in Computer Science, Computer Engineering, or related technical field with 5+ years of experience as a Scientist/Engineer.</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience building machine learning models or developing algorithms for business application</li><li>Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, CA, Palo Alto - 211,400.00 - 286,000.00 USD annually 
USA, WA, Seattle - 183,800.00 - 248,700.00 USD annually</div>

Applied Science Manager , Stores Foundation AI (SFAI)

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