artificial intelligence specialist

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

Amazon Web Services

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
The AWS Data and AI Strategic Partner GTM team supports the world's most innovative partners - from breakthrough startups to Large Language Model Providers (LLMs) to global tech giants - helping them envision and build the future of autonomous AI systems. The Senior WW Partner GTM Specialist for Agentic AI and AI Security will be the driving force behind AWS's partner strategy for Agentic AI. Your strategies will shape how businesses evolve in the age of AI agents, your insights will influence product directions at AWS, and your vision will help partners transform their business models for the AI era. 
 
This role sits at the intersection of breakthrough technology and business transformation. You'll pioneer new business models in the rapidly evolving AI agent space while working with the most sophisticated AI technologies and partners globally. As a key strategist, you'll shape how AWS and our partners approach autonomous AI systems, building programs that will scale Agentic AI adoption worldwide. Your thought leadership will help define one of technology's most dynamic spaces, influencing how businesses across industries implement and benefit from AI agents. 
 
If you're excited about being at the forefront of the AI revolution and want to make a lasting impact on how businesses harness autonomous AI agents, this role offers you the platform, the resources, and the opportunity to shape the future. 
 
Key job responsibilities 
Key Responsibilities: 
<ul><li>Collaborate with AWS GenAI partners, helping them envision and implement agent-based solutions that deliver exceptional customer value. Your insights will shape both partner strategies and AWS's approach to this transformative technology.</li><li>Drive strategic initiatives to accelerate Agentic AI adoption with a core set of strategic partners</li><li>Develop and execute comprehensive partner strategies that scale agent-based solutions and use cases</li><li>Provide thought leadership on how Agentic AI transforms partner business models and creates new opportunities</li><li>Build and manage programs for partner enablement, certification, and funding focused on agent technologies</li><li>Analyze market trends and gather partner/customer feedback to inform AWS's Agentic AI strategy</li><li>Create scalable frameworks that enable partners to successfully build and deploy agent-based solutions</li><li>Collaborate with AWS service teams to align partner requirements with product development</li><li>Lead the development of partner-ready go-to-market content, resources, and activities
</li></ul> 
A day in the life 
<ul><li>Develop AWS strategy for Agentic AI and AI Security partner GTM</li><li>Drive consensus across service teams, field sales, partner management, marketing, legal, and partner program teams.</li><li>Conduct analysis on AWS customer and partner adoption trends
</li><li>Work with a strategic Generative AI or AI Security partner to define and execute joint sales and Go-to-Market (GTM) programs.</li><li>Drive a special project of strategic initiative across AWS highly matrixed organization</li><li>Analyze performance metrics and prepare MBRs, 2x2 for leadership review. Coordinate with various teams to ensure alignment on deliverables and timelines.</li><li>Build customer and field facing enablement materials including sales plays, decks, and solution briefs</li></ul> 
About the team 
The AWS Data &amp; AI Partner GTM team isn't just building partnerships - we're creating the future of intelligent systems through an elite network of innovators. We're the driving force behind AWS's most strategic partner initiatives across data, GenAI, and autonomous agents, bringing together the world's most innovative partners to pioneer transformative solutions. 
 
Our vision is bold: we're building the world's premier Data &amp; AI partner network, where technical excellence drives remarkable innovation. From helping enterprises unlock the value of their data to advancing the frontier of GenAI, we champion emerging technologies that reshape how businesses operate. Our team works at the intersection of partner innovation and AWS's most strategic initiatives, from data foundations to autonomous agents, creating opportunities that define the future of business technology. 
 
What makes our team unique is our position as strategic orchestrators - we're not just enabling partner success, we're shaping the future of data and AI adoption. We work directly with category-defining ISVs and startups as well as AWS' most innovative service teams. Through our work, we're not just witnessing the data and AI revolution - we're actively driving it, creating scalable models that empower both our partners and AWS field teams to accelerate service adoption and deliver exceptional customer outcomes. Whether it's helping partners build advanced data analytics solutions or develop sophisticated GenAI applications, we're at the forefront of technology's most exciting frontiers. 
 
Diverse Experiences 
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.
 
Why AWS? 
Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. 
Inclusive Team Culture 
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. 
Mentorship &amp; Career Growth 
We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
 
Work/Life Balance 
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve.</div><h2 class="jobSectionHeader"> 
BASIC QUALIFICATIONS</h2><ul><li>5+ years of developing, negotiating and executing business agreements experience</li><li>5+ years of Go-To-Market, Business Development, Sales, or Consulting experience</li><li>5+ years of working with Data &amp; AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage experience</li><li>Experience developing strategies that influence leadership decisions at the organizational level</li><li>Experience managing programs across cross functional teams, building processes and coordinating release schedules</li><li>Experience selling enterprise software or cloud-based applications</li><li>Experience explaining complex technical concepts to various business and technical audiences</li><li>Experience presenting to both technical and non-technical executive audiences</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience interpreting data and making business recommendations</li><li>Experience identifying, negotiating, and executing complex legal agreements</li><li>Experience in AI Security, Cybersecurity or related field</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. 
 
Pursuant to the San Francisco 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, Mountain View - 162,700.00 - 220,200.00 USD annually 
USA, CA, San Francisco - 162,700.00 - 220,200.00 USD annually 
USA, NY, New York - 162,700.00 - 220,200.00 USD annually 
USA, VA, Arlington - 147,900.00 - 200,100.00 USD annually 
USA, WA, Seattle - 147,900.00 - 200,100.00 USD annually</div>

Sr. Worldwide Partner GTM Specialist - Agentic AI, Data & AI GTM

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Amazon Advertising is one of Amazon's fastest-growing and most profitable businesses. Amazon's advertising portfolio helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of their products sold through Amazon. The primary goals are to help shoppers discover new products they love, be the most efficient way for advertisers to meet their business objectives, and build a sustainable business that continuously innovates on behalf of customers. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day! 
 
The Creative X team within Amazon Advertising aims to democratize access to high-quality creatives (audio, images, videos, descriptions) by building AI-driven solutions for advertisers. To accomplish this, we are investing in Agentic AI, latent-diffusion models, large language models (LLM), generative audio (music and speech synthesis), computer vision (CV), reinforcement learning (RL), and related methods. 
 
You will be part of a close-knit team of applied scientists, product managers, other AI Engineers, and stakeholders who are highly collaborative and at the top of their respective fields. 
 
We are looking for talented AI Engineers who are adept at a variety of skills that enable deployment and productization of Generative AI models for advertising at scale. 
 
Every member of the team is expected to build customer (advertiser)-facing features, contribute to the collaborative spirit within the team, productize, deploy at scale, and bring advanced production-grade research to raise the bar within the team. 
 
Key job responsibilities 
<ul><li>Work closely with Applied Scientists and AI Engineers to develop AI agents and transform research code into production.</li><li>Own end to end deployment at scale of AI solutions.</li><li>Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving.</li><li>Document processes and methods for technical and non technical audiences.</li><li>Contribute to code reviews.</li><li>Mentor and help recruit AI Engineer to the team.</li><li>Present outcomes and explain approaches to senior leadership.</li></ul> 
Why you will love this opportunity 
Amazon is investing heavily in building a world-class advertising business. This team defines and delivers a collection of advertising products that drive discovery and sales. Our solutions generate billions in revenue and drive long-term growth for Amazon&rsquo;s Retail and Marketplace businesses. We deliver billions of ad impressions, millions of clicks daily, and break fresh ground to create world-class products. We are a highly motivated, collaborative, and fun-loving team with an entrepreneurial spirit - with a broad mandate to experiment and innovate. 
 
About the team 
The team consists of applied scientists and AI engineers. We reside in the Creative X organization, which focuses on creating products for advertisers that will improve the quality of the creatives within Amazon Ads.</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>3+ years of non-internship professional software development experience</li><li>2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>Experience programming with at least one software programming language</li></ul>
- - Experience setting up distributed training infrastructure. 
- - Hands on experiences with AI Agent development in real production.<h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li></ul>
- - Experience handling and organizing video assets. 
- - Ideally familiar with Amazon systems and deployment methods for production. 
 
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, WA, SEATTLE - 143,700.00 - 194,400.00 USD annually</div>

AI Engineer - GenAI, Creative-X

YO IT Consulting

<div>
 
 Job Title:
 
 AI/ML Engineer
 
 
 
 Job Type:
 
 Full-Time
 
 
 
 Job Summary
 
 
 
 Join our team as a AI/ML Engineer and play a pivotal role in driving mission-critical government initiatives while also contributing to proprietary AI infrastructure, you&rsquo;ll harness advanced large language models (LLMs), retrieval-augmented generation (RAG), and multi-agent orchestration to deliver secure, scalable, and impactful machine learning systems. You&rsquo;ll work closely with cross-functional experts, leveraging frontier AI platforms and the latest in agentic AI tooling.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design, implement, and optimize AI/ML models particularly leveraging LLMs, RAG, and prompt engineering for production grade applications.
 </li>
 <li>
 Develop and orchestrate multi-agent systems using frameworks such as LangGraph and LangChain.
 </li>
 <li>
 Integrate and deploy solutions on secure cloud environments, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
 </li>
 <li>
 Build robust data pipelines, manage ETL processes, and develop metadata catalogs and ontologies to ensure high-quality data for AI training and inference.
 </li>
 <li>
 Create and maintain REST APIs and SDK integrations to facilitate seamless data and model interactions.
 </li>
 <li>
 Collaborate with product, security, and engineering teams to ensure best-in-class delivery, following secure coding and DevOps best practices (CI/CD).
 </li>
 <li>
 Document technical decisions and communicate complex concepts clearly to both technical and non-technical stakeholders.
 
 
 </li>
 </ul>
 
 Required Skills And Qualifications
 
 
 
 <ul>
 <li>
 Proficiency in Python for AI/ML development, including experience with REST APIs and SDK integration.
 </li>
 <li>
 Hands-on experience with LLMs, RAG systems, and prompt engineering in production environments.
 </li>
 <li>
 Familiarity with multi-agent orchestration, tool use, and frameworks like LangGraph and LangChain.
 </li>
 <li>
 Deep understanding of cloud AI services (AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, AWS Bedrock).
 </li>
 <li>
 Background in building and maintaining data pipelines, ontologies, metadata catalogs, and ETL processes.
 </li>
 <li>
 Strong grasp of secure coding and modern DevOps practices (CI/CD pipelines).
 </li>
 <li>
 Exceptional written and verbal communication skills for effective collaboration and documentation.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with AI/agentic platforms, such as Anthropic for Gov, OpenAI Enterprise, Gemini Enterprise, or Grok Enterprise.
 </li>
 <li>
 Knowledge of metadata catalog platforms (MCP) and advanced API development techniques.
 </li>
 <li>
 Prior exposure to government or highly regulated cloud environments and compliance standards.
 </li>
 </ul>
</div>

AI/ML Engineer - Remote

Apple Services Engineering (ASE) powers the AI and LLM features behind experiences that hundreds of millions of users love every day. As these systems increasingly rely on human-in-the-loop evaluation, the quality of our products is directly constrained by the quality of our evaluation systems. We believe that to build exceptional AI, you need exceptional mechanisms to validate the signals used to train and evaluate them. 
 
Description 
 
The Human-centered AI, Data Quality Operations team is looking for a Senior Applied Scientist to join our growing team. We are building the systems and methodologies that make AI evaluation trustworthy, and scalable - directly shaping how Apple develops and validates AI across products and services. In this role, you will develop novel, scalable quality control solutions, working closely with cross-functional teams to ensure the data powering our AI/ML systems meets the highest standards of accuracy, consistency, and relevance. 
 
Your work will span two connected problem spaces. The first is the methodology and tooling that generates reliable ground truth and detects quality failures across human annotation and automated evaluation pipelines. The second is the autonomous QA agents that make those methodologies generalizable across teams and use cases. This role demands fluency across research thinking and engineering execution - you will prototype, validate, and ship. A strong point of view on when not to use a model or agent is as valued here as the ability to build one. 
 
&quot;,&quot;responsibilities&quot;:&quot;Design and implement scalable ground truth generation pipelines across varied task types, annotation modalities, and cold start conditions 
 
Build and maintain calibration frameworks that keep LLM evaluators anchored to human judgment over time 
 
Develop anomaly detection systems that surface evaluator drift, distribution shifts, and coverage gaps across human annotation and automated evaluation pipelines 
 
Design, build, and deploy autonomous QA agents targeting specific facets of evaluation quality, architected for generalizability and self-service adoption across teams 
 
Partner closely with cross-functional teams to ensure evaluation systems meet the highest standards of accuracy, consistency, and relevance 
 
Communicate findings and recommendations clearly to both technical and non-technical stakeholders, including senior leadership 
 
Contribute to a culture of technical excellence by sharing knowledge and best practices across the team 
 
Preferred Qualifications 
 
PhD in Computer Science, Machine Learning, Statistics, or a related field 
 
Experience designing agent architectures that are configurable and extensible by practitioners who did not build them 
 
Hands-on experience building anomaly detection systems for evaluation quality, including drift detection, distribution analysis, and systematic bias identification 
 
Strong communication skills with the ability to influence technical direction across cross-functional teams 
 
Demonstrated passion for leveraging AI to improve work efficiency and scale 
 
Minimum Qualifications 
 
5+ years of industry experience in applied science or machine learning with demonstrated impact on shipped systems 
 
Strong hands-on experience with Large Language Models including prompt engineering and applied use cases such as grading, validation, or classification 
 
Strong working knowledge of evaluation methodology for generative AI, including LLM-as-a-judge design, meta-evaluation, and failure mode analysis 
 
Familiarity with human-in-the-loop evaluation systems and the operational dynamics that affect data quality at scale 
 
Hands-on experience designing ground truth generation pipelines across varied task types and annotation modalities 
 
Proficiency in Python and relevant ML frameworks, with production experience building, deploying, and monitoring LLM-based pipelines and agents 
 
MS or PhD in Computer Science, Machine Learning, Statistics, or a related quantitative field, or equivalent practical experience 
 
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 $139,500 and $258,100, 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.

Senior Applied Scientist - AI Evaluation & Quality Systems

University Of Washington

<div>Job Description
The Administrative Specialist is responsible for developing a deep understanding of the academic and research programs of the AI &amp; Machine Learning for Engineering Graduate Programs, the AI Center for Dynamics and Control, and the NSF AI Institute in Dynamic Systems and its affiliated faculty. Using this knowledge, and under the general direction of the Director, the individual in this position works independently to manage logistics for many activities of all these groups including scheduling and arranging meetings, arranging travel, and processing complex travel and expense reimbursements. The position also serves as the principal assistant to the Director, handling key communications and projects with accuracy and professionalism.
The Administrative Specialist will use their independent judgment to manage and facilitate a multitude of complicated activities across three distinct programs. The Administrative Specialist supports the operational activities of a $36M industry-funded effort to develop and support education and research activities in the area of data-driven engineering and artificial intelligence, as well as a $19M federally-funded effort focused on AI. They will work closely with faculty and staff across the entire College of Engineering, and must maintain understanding of subject matter as well as knowledge of related departments and institutes in order to develop effective and tactful collaborative approaches. The graduate programs that the Administrative Specialist supports are based centrally at the College of Engineering, rather than in a single department, which requires much more complex coordination than a typical graduate program.
Duties &amp; Responsibilities
Administrative Support (70%)
<ul><li>Serve as principal assistant to the Director.
</li><li>Maintain calendars and schedule meetings with keen attention to duration, transportation time, and advance preparation time required. Keep Director apprised of meeting dates and appointments and provide necessary supporting materials in a timely manner. Issue reminders and notifications of important commitments and ensure that all official obligations are met.
</li><li>Coordinate travel arrangements for the Director, Institute/Center staff, visiting speakers, students, postdocs, and other visitors.
</li><li>Process associated travel reimbursements in compliance with applicable guidelines.
</li><li>Coordinate and organize ad hoc appointments and meetings as requested by the Director and Institute/Center staff. Coordinate with other executive assistants on high-level meetings; ensure proper listing on calendars. Reserve rooms, arrange food or catering, and coordinate equipment, A/V support, and materials.
</li><li>Review and process expense reimbursement requests in accordance with institutional policies and procedures.
</li><li>Utilize UW Connect Finance to liaison with and submit requests to the Engineering Shared Environment (ESE).
</li><li>Provide conference room A/V support and develop documentation on use of A/V systems.
</li><li>Develop agendas and draft invitations, reports, surveys, and other professional correspondence, which may contain confidential or sensitive information.
</li><li>Serve as the liaison between incoming VISIT students and the College of Engineering to coordinate internship appointments and facilitate completion of required onboarding documentation.
</li><li>Provide administrative support for occasional events, including coordination and on-site assistance as needed.
</li><li>Serve on event teams to support large events, conferences and summer programs.
</li></ul>Project Management (15%)
<ul><li>Provide executive level project management for the Director.
</li><li>Manage special projects, provide statistics, track budget and perform background research for directors&rsquo; initiatives as assigned. Such initiatives might include establishing or managing new funding programs; new education or industry collaborations; special graduate student projects, industry visits, and teams; regional seminars, conferences or meetings; constituent surveys; and special presentations.
</li></ul>Communications and Marketing (10%)
<ul><li>Develop a network of contacts with departments and institutes to stay on top of news and announcements.
</li><li>Post and edit news stories, announcements, and make updates to the Director&rsquo;s website; format text, images, and hyperlinks following the specified communication plan and design standards.
</li><li>Communicate on behalf of the Director with representatives from the office of the Vice Provost for Research, Deans&rsquo; offices, Capital Projects Office, Federal and State Relations, and the Office of Planning and Budgeting, as well as external partners.
</li><li>Assist the Director in management of the Director&rsquo;s YouTube channel featuring asynchronous teaching videos.
</li></ul>Other duties as assigned (5%)
<ul><li>Participate in college/school meetings and contribute to committees.
</li><li>Other duties as assigned.
</li></ul>Minimum Requirements:
<ul><li>Bachelor's degree in administration, communications, or a related discipline. Equivalent experience can substitute for degree requirement.
</li><li>Two years of experience in administration, communication, or higher education.
</li></ul>Additional Requirements:
<ul><li>Strong attention to detail, excellent organization skills, and a demonstrated ability to prioritize work and manage complex workloads with frequent deadlines.
</li><li>Ability to learn University travel and purchasing guidelines and procedures and the ability to reference them on the UW website when requested.
</li><li>Proficiency with Microsoft Office Suite and Google Suite. Ability to gain proficiency in other software and web-based tools, as needed.
</li><li>Strong written communication skills for workplace settings. The ability to write clear and concise emails, focusing on what needs to be accomplished.
</li><li>The ability to work well as a collaborative teammate, to give and receive feedback with thoughtfulness and consideration.
</li><li>Experience tactfully and respectfully working with many different stakeholders, from students to faculty to staff to external partners.
</li></ul>Desired Qualifications:
<ul><li>Experience working in an academic program, at an academic institution, and/or with faculty across departments or in an interdisciplinary unit.
</li><li>Familiarity with UW administrative policies and procedures
</li><li>Web design and/or graphic design interest or ability
</li></ul>Work environment:
<ul><li>Seattle campus, hybrid (average 2 days/week remote).
</li><li>Occasionally will require limited evening and weekend hours (e.g. occasional events)
</li></ul>Compensation, Benefits and Position Details
Pay Range Minimum:
$74,400.00 annual
Pay Range Maximum:
$77,400.00 annual
Other Compensation:
<ul><li></li></ul>Benefits:
For information about benefits for this position, visit https://www.washington.edu/jobs/benefits-for-uw-staff/
Shift:
First Shift (United States of America)
Temporary or Regular?
This is a regular position
FTE (Full-Time Equivalent):
100.00%
Union/Bargaining Unit:
Not Applicable
About the UW
Working at the University of Washington provides a unique opportunity to change lives &ndash; on our campuses, in our state and around the world.
UW employees bring their boundless energy, creative problem-solving skills and dedication to building stronger minds and a healthier world. In return, they enjoy outstanding benefits, opportunities for professional growth and the chance to work in an environment known for its diversity, intellectual excitement, artistic pursuits and natural beauty.
Our Commitment
The University of Washington is committed to fostering an inclusive, respectful and welcoming community for all. As an equal opportunity employer, the University considers applicants for employment without regard to race, color, creed, religion, national origin, citizenship, sex, pregnancy, age, marital status, sexual orientation, gender identity or expression, genetic information, disability, or veteran status consistent with UW Executive Order No. 81 .
To request disability accommodation in the application process, contact the Disability Services Office at 206-543-6450 or dso@uw.edu .
Applicants considered for this position will be required to disclose if they are the subject of any substantiated findings or current investigations related to sexual misconduct at their current employment and past employment. Disclosure is required under Washington state law .</div>

Administrative Specialist

Google

<div>Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.<div> 
In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include: 
 
<ul><li>Health, dental, vision, life, disability insurance</li><li>Retirement Benefits: 401(k) with company match</li><li>Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment</li><li>Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
</li><li>Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks</li><li>Baby Bonding Leave: 18 weeks</li><li>Holidays: 13 paid days per year 
</li></ul> 
</div> 
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; New York, NY, USA; Cambridge, MA, USA; Kirkland, WA, USA; Raleigh, NC, USA; Durham, NC, USA; Seattle, WA, USA; San Francisco, CA, USA.<h3 class="jobSectionHeader">
Minimum qualifications:</h3><ul>
<li>Bachelor's degree or equivalent practical experience. 
</li>
<li>8 years of experience programming in C++, Java, Python, Kotlin or Go.</li>
<li>5 years of experience testing, and launching software products. 
</li>
<li>5 years of experience in product development.</li>
<li>3 years of experience with software design and architecture.</li></ul> 
<h3 class="jobSectionHeader">
Preferred qualifications:</h3><ul>
<li>Master&rsquo;s degree or PhD in Engineering, Computer Science, or a related technical field.</li>
<li>Experience as a Tech Lead or Senior Software Engineer, building scalable internal platforms, workflow execution tools, or enterprise software development systems.</li>
<li>Experience integrating large language models and artificial intelligence into practical applications, and automating workflows or other creative use cases.</li>
<li>Ability to collaborate with Product Management to ensure engineering solutions are aligned with business goals.</li>
</ul><div><h2 class="jobSectionHeader">About the job</h2>
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google&rsquo;s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

We are launching a massive, executive-backed transformation of our product introduction and software development life cycles. We need a Tech Lead to partner with our Lead Product Manager (PM) and architect the Tooling Work stream from the ground up. 
 
In this role, you will replace fragmented legacy systems and manual toil with an intelligent, AI-enabled ecosystem. You will lead a fully-funded engineering team to build a malleable tool chain that delivers startup agility without compromising enterprise-grade security. If you want to eliminate friction for thousands of colleagues and define the industry&rsquo;s new standard, this is your mandate.
Google Cloud accelerates every organization&rsquo;s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google&rsquo;s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.<div><div><div><div><div><div><div><div><div><div><div> 
The US base salary range for this full-time position is $207,000-$300,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. 
 
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.</div></div></div></div></div></div></div></div></div></div></div></div><div><h2 class="jobSectionHeader">
Responsibilities</h2><ul>
<li>Lead the design of an intelligent launch assistant using Large Language Models (LLMs) and agentic AI to analyze technical documents and automate recommendations.</li>
<li>Collaborate with the Lead PM to translate user journeys into scalable architectures, driving the evolution from minimum viable product (MVP) to a fully automated end-state.</li>
<li>Replace fragmented trackers with a unified workflow engine featuring transparent criteria, blocker tracking, and automated Service Level Agreement (SLAs).</li>
<li>Replace manual questionnaires with a dynamic logic engine that triggers Security and Compliance reviews only when necessary.</li>
<li>Build the back end for a real-time executive dashboard tracking North Star metrics like velocity, quality, and throughput.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Staff Software Engineer, Google Cloud Agentic AI

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