ai engineer

Zoom Communications

<div><div><ul><li>Seattle, Washington, United States
</li></ul></div><div><ul><li>Full time</li></ul></div></div>
 <div>What you can expect
As an AI Engineer, - Agent, you will develop intelligent systems capable of reasoning, planning, and executing complex workflows. You will design agentic systems that manage intricate tasks, perform multi-step actions, and ensure safe interactions with tools and data. This role integrates LLM intelligence with system engineering, and your contributions will directly shape the evolution of Zoom AI Companion into a more dependable and advanced assistant.
About the team
You will join a highly collaborative engineering organisation focused on building next-generation AI-powered experiences. The team works across machine learning, distributed systems, and product engineering to deliver scalable, reliable, and intelligent solutions. With a focus on innovation and real-world impact, the team is shaping how AI enhances communication and productivity at Zoom.<h2 class="jobSectionHeader">
Responsibilities</h2><ul>
<li>
Designing agentic systems that manage complex, multi-step tasks and autonomous decision-making workflows</li>
<li>
Building scalable, production-grade AI systems that integrate LLM intelligence with robust backend infrastructure</li>
<li>
Ensuring safe and reliable interactions between AI agents and external tools and data sources</li>
<li>
Leading the architecture and development of agent memory, personalisation, and quality evaluation systems</li>
<li>
Driving performance optimisation across distributed systems to balance quality and latency at scale</li>
<li>
Collaborating across engineering, research, and product teams to deliver AI features used by millions of users</li>
<li>
Incorporating new AI developments rapidly to keep Zoom AI Companion at the forefront of the market</li>
</ul>
What we&rsquo;re looking for<ul>
<li>
Have 8+ years of experience in AI/ML engineering, backend/distributed systems engineering</li>
<li>
Have a proven track record building scalable, production-grade AI or agent-based systems at staff level</li>
<li>
Demonstrate strong programming skills in one or more of: Python, TypeScript, Go, Java, C++, or Rust</li>
<li>
Have experience with cloud platforms such as AWS, GCP, or Azure</li>
<li>
Have hands-on experience with Kubernetes, containers, and CI/CD pipelines</li>
<li>
Demonstrate a deep understanding of software architecture, observability, and performance optimisation</li>
<li>
Hold a qualification in Computer Science, Artificial Intelligence, Machine Learning, or a related field</li>
</ul>
Preferred:<ul>
<li>
Have experience building or evaluating AI agents and agentic workflows, and familiarity with modern agent frameworks</li>
<li>
Demonstrate knowledge of prompt engineering, safety systems, and agent evaluation techniques</li>
<li>
Have experience with AI development tools such as Claude Code or Codex</li>
</ul>
Salary Range or On Target Earnings:
Minimum:
$177 100,00
Maximum:
$387 500,00
In addition to the base salary and/or OTE listed Zoom has a Total Direct Compensation philosophy that takes into consideration; base salary, bonus and equity value.
Note: Starting pay will be based on a number of factors and commensurate with qualifications &amp; experience.
We also have a location based compensation structure; there may be a different range for candidates in this and other locations
At Zoom, we offer a window of at least 5 days for you to apply because we believe in giving you every opportunity. Below is the potential closing date, just in case you want to mark it on your calendar. We look forward to receiving your application!<div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><div>
Anticipated Position Close Date:</div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div>
05/18/26
Ways of Working 
Our structured hybrid approach is centered around our offices and remote work environments. The work style of each role, Hybrid, Remote, or In-Person is indicated in the job description/posting.
Benefits 
As part of our award-winning workplace culture and commitment to delivering happiness, our benefits program offers a variety of perks, benefits, and options to help employees maintain their physical, mental, emotional, and financial health; support work-life balance; and contribute to their community in meaningful ways.
About Us 
Zoomies help people stay connected so they can get more done together. We set out to build the best collaboration platform for the enterprise, and today help people communicate better with products like Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinars. 
We&rsquo;re problem-solvers, working at a fast pace to design solutions with our customers and users in mind. Find room to grow with opportunities to stretch your skills and advance your career in a collaborative, growth-focused environment. 
Our Commitment
At Zoom, we believe great work happens when people feel supported and empowered. We&rsquo;re committed to fair hiring practices that ensure every candidate is evaluated based on skills, experience, and potential. If you require an accommodation during the hiring process, let us know&mdash;we&rsquo;re here to support you at every step. 
If you need assistance navigating the interview process due to a medical disability, please submit an Accommodations Request Form and someone from our team will reach out soon. This form is solely for applicants who require an accommodation due to a qualifying medical disability. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed.</div>

AI Engineer - Agent

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

Lyft

<div>At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.

The Risk Tech engineering organization is committed to tangibly reducing accident frequency, saving lives, and managing costs to enhance the safety and affordability of rides.

Claim Management is a core financial function for Lyft. Each claim touches complex workflows, multiple stakeholders, sensitive data, financial reserves, regulatory processes, and significant financial liabilities.

This role offers the opportunity to define a leading claims management system for the industry. Our vision is to establish a single, Unified Risk Platform where comprehensive claims workflows across all business lines are efficiently administered, communications are consolidated, and data is structured to facilitate data-driven insights and decisions.

This enables cost-efficient claims operations, mitigates risks and expenses as Lyft scales, and ensures people receive assistance proactively and accurately.

We are seeking a Senior Software Engineer to contribute to the technical direction, drive architectural decisions, and lead the development of a highly reliable, scalable, and intelligent Risk Management Information System that powers our insurance platform. You will collaborate with passionate colleagues from Engineering, Data Science, Product and Claim Operations to deliver end-to-end solutions.
<h2 class="jobSectionHeader">
Responsibilities:</h2>
<ul><li>Define and drive the long-term technical roadmap for claims management systems, aligning priorities with Product, Claim Operations, Data Science, and other stakeholders.</li>
<li>Provide architectural leadership, make informed design tradeoffs, and guide strategic decisions across multiple engineering teams.</li>
<li>Understand claim handling workflows, identify bottlenecks and multiply their productivity by driving platform innovations and resolving pain points with AI automation solutions</li>
<li>Deliver scalable, reliable, high quality and well-tested solutions and code.</li>
<li>Collaborate closely with Lyft internal teams and external insurance partners to ensure technical alignment and scalable integrations.</li>
<li>Lead code reviews, design reviews, production on-call support and incident triaging process.</li>
<li>Invest in the engineering community through knowledge sharing via brown bags, tech talks, and suggesting improvements to team processes and engineering practices.</li>
</ul><h2 class="jobSectionHeader">Experience:</h2>
<ul><li>B.S., M.S. in Computer Science or related technical field or relevant work experience.</li>
<li>6+ years of professional experience building scalable distributed systems with high availability, observability and reliability requirements.</li>
<li>Proven ability to build end-to-end products and platforms, collaborating effectively with various stakeholders e.g. Backend, Frontend, Data Engineering, Data Science, Claim Operations, and Product teams.</li>
<li>Strong ability to reason about tradeoffs in system design, architecture, domain modeling, and operational cost.</li>
<li>Experience driving AI adoption or automation initiatives to improve operational efficiency.</li>
<li>Proficiency in Python. Knowledge of React/Next.js and data analysis is a plus.</li>
<li>Experience with data processing frameworks and tools like Spark, Kafka, Airflow and cloud provisioning environments etc.</li>
<li>Strong oral and written interpersonal skills.</li>
<li>Prior experience in insurance, claims management, workflow orchestration or external vendors is a strong plus.</li>
</ul><h2 class="jobSectionHeader">Benefits: 
</h2>
<ul><li>Great medical, dental, and vision insurance options with additional programs available when enrolled</li>
<li>Mental health benefits</li>
<li>Family building benefits</li>
<li>Child care and pet benefits</li>
<li>401(k) plan with company match to help save for your future</li>
<li>In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off</li>
<li>18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible</li>
<li>Subsidized commuter benefits</li>
<li>Monthly Lyft credits and complimentary Lyft Pink membership</li>
</ul>
Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.

Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule &mdash; Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid

The expected base pay range for this position in the Seattle area is $136,160 - $170,200 , not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.</div>

Senior AI Software Engineer, Risk - Insurance Claims Management

Amazon Web Services

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Help shape new Generative AIUX products for AWS customers
 
 
Our team builds Generative AIUX products that transform the way customers design. We are focused on the future of design driven development and democratizing innovation for all builders. We deliver a shared platform across multiple products, and we work on AI-powered tools that use Design Systems to build interfaces, and accelerate design, development, and validation workflows. The two products you will be working on are Venue and project Arena. Venue is an AI powered internal prototyping tool that helps AWS builders create new features using the AWS Cloudscape Design system. Arena is an external version of the tool that helps scale this offering to all of Amazon and to external customers with a focus on 0-1 rapid prototyping.
 
 
We are seeking a talented and passionate generative/agentic Senior Machine Learning Engineer to join our team and lead the development of cutting-edge AIUX solutions. AIUX is the intersection of Artificial Intelligence and User Experience. AIUX focuses on making sure the user experience is bar raising for a human and simultaneously works well with agents. This includes designing for trust, transparency (letting users know they are interacting with AI), and providing control (allowing users to edit or undo AI actions). It enhances productivity, automates repetitive tasks, and creates more engaging, intuitive, and efficient user experiences.
 
 
The ideal candidate will bring expertise in generative and agentic AI and data analysis to create intelligent and transformative AI applications.
 
 
In this role, you will work closely with our product, design, and backend teams to build and enhance our generative AI platform. You will have the opportunity to influence the direction of our product and contribute to a culture of innovation and excellence.
 
 
Our team is dedicated to supporting new team members. It has a broad mix of experience levels and Amazon tenures, and we&rsquo;re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth. We try to assign projects and tasks based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future. 
 
Key job responsibilities 
<ul><li>Backend Integration (AI-Focused): Integrate with systems to manage asynchronous data flows from LLMs (Large Language Models) and other AI services.
</li><li>Optimize Performance: Ensure maximum speed and responsiveness of AI-driven interfaces, particularly when processing large datasets or real-time streaming output.
</li><li>Design and own end-to-end systems, spanning backend services, APIs, data storage, and frontend integration.
</li><li>Build and evolve GenAI-powered services that support design generation, validation, and automation workflows.
</li><li>Contribute to long-term technical vision and architecture decisions.
</li><li>Balance short-term delivery with scalable, maintainable system design.
</li><li>Work with internal teams to understand needs and translate them into robust solutions.
</li><li>Contribute to hiring, mentor junior engineers, and raise the overall engineering bar.
</li></ul></div><h2 class="jobSectionHeader">BASIC QUALIFICATIONS</h2><ul><li>5+ years of non-internship professional software development experience</li><li>5+ years of programming with at least one software programming language experience</li><li>5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>Experience as a mentor, tech lead or leading an engineering team</li><li>Experience with emerging generative and agentic technologies</li><li>Experience in machine learning and data science</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Bachelor's degree in computer science or equivalent</li><li>Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations</li><li>Experience with agentic orchestration</li><li>Prior experience working with AWS applications, a plus</li><li>Experience with Bedrock, Kiro, or Claude a plus</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, East Palo Alto - 193,300.00 - 261,500.00 USD annually 
USA, CA, Santa Clara - 193,300.00 - 261,500.00 USD annually 
USA, WA, Seattle - 168,100.00 - 227,400.00 USD annually</div>

Senior Machine Learning Engineer, GenAIUX

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

Expedia Group

<div>Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success.
Why Join Us?
To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win.
We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We&rsquo;re building a more open world. Join us.
Senior Infrastructure and Enterprise Engineer
Our Technology Team partners with teams across Expedia Group to create innovative products, services, and tools to deliver high-quality experiences for travelers, partners, and our employees. A singular technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences that drive loyalty and traveler satisfaction. 
 
HIPS Storage &amp; Compute is responsible for the end-to-end engineering and lifecycle management of all storage and compute platforms within the Expedia Group Hybrid Data Centers. It encompasses physical servers, infrastructure, virtualized environments, Kubernetes (K8s)-based orchestration, and on-premises accelerated GPU pass-through machine learning (ML) 
 
In this role, you will:<ul><li>
Design, implement, and operate resilient enterprise infrastructure services and platforms, ensuring reliability, scalability, and security across on‑premise and cloud environments.</li><li>
Develop and maintain low‑level system designs (LLD), APIs, and data models that enable robust integration between infrastructure components, internal services, and enterprise systems.</li><li>
Automate infrastructure provisioning, configuration, monitoring, and incident response using modern scripting, IaC, and CI/CD practices to improve efficiency and reduce operational risk.</li><li>
Collaborate with security, networking, platform, and application engineering teams to define standards, patterns, and guardrails that drive consistency and operational excellence across multiple domains.</li><li>
Lead troubleshooting and root‑cause analysis for complex infrastructure issues, implementing durable fixes and driving continuous improvements in observability, capacity management, and performance.</li><li>
Safely integrate and operate AI/ML‑enabled solutions that improve outcomes, including familiarity with AI-driven systems, tools, virtualization, Kubernetes (K8s), or workflows and applying AI/ML concepts to real world products, while ensuring they are secure, compliant, and reliable in production.</li></ul>
Minimum Qualifications:<ul><li>
Proven experience as an infrastructure, systems, or enterprise engineer operating production services and platforms at scale including virtualization and Kubernetes (K8s), with clear ownership for critical services or multi‑service environments.</li><li>
Hands-on expertise with core infrastructure domains such as compute, storage, networking, identity, and security, including designing and implementing APIs and data models for infrastructure and enterprise integrations.</li><li>
Demonstrated proficiency in scripting or programming and automation tooling (for example, infrastructure as code and CI/CD) to provision, configure, and manage enterprise infrastructure.</li><li>
Experience contributing to low‑level design (LLD), system architecture, and operational runbooks for infrastructure services, including monitoring, alerting, and incident response.</li><li>
Familiarity with AI-driven systems, tools, virtualization, Kubernetes (K8s), or workflows and applying AI/ML concepts to infrastructure operations or enterprise platforms in a safe and controlled manner.</li></ul>
Preferred Qualifications:<ul><li>
Experience designing and evolving large‑scale, highly available enterprise infrastructure platforms or shared services, including defining technical roadmaps and standards across multiple domains.</li><li>
Track record of leading complex infrastructure migrations, modernization efforts, or major incident remediation, using data-driven decision making to optimize reliability, performance, and cost.</li><li>
Deep expertise in system design (LLD), API design, and data modeling for infrastructure and platform services, enabling secure, self‑service, and automated consumption by internal teams.</li><li>
Demonstrated operational excellence in running production environments, including advanced observability practices, capacity planning, change management, and rigorous post‑incident analysis.</li><li>
Role‑specific AI experience such as designing or operating AI-assisted infrastructure operations (for example, AIOps, intelligent alerting, anomaly detection, or automated remediation), safely integrating and operating AI/ML‑enabled solutions that improve infrastructure outcomes.</li></ul>
The total cash range for this position in Seattle is $156,500.00 to $219,000.00. Employees in this role have the potential to increase their pay up to $250,500.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role.
Starting pay for this role will vary based on multiple factors, including location, available budget, and an individual&rsquo;s knowledge, skills, and experience. Pay ranges may be modified in the future.
Expedia Group is proud to offer a wide range of benefits to support employees and their families, including medical/dental/vision, paid time off, and an Employee Assistance Program. To fuel each employee&rsquo;s passion for travel, we offer a wellness &amp; travel reimbursement, travel discounts, and an International Airlines Travel Agent (IATAN) membership. View our full list of benefits.
Accommodation requests
If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request.
We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others.
Expedia Group's family of brands includes: Brand Expedia&reg;, Hotels.com&reg;, Expedia&reg; Partner Solutions, Vrbo&reg;, trivago&reg;, Orbitz&reg;, Travelocity&reg;, Hotwire&reg;, Wotif&reg;, ebookers&reg;, CheapTickets&reg;, Expedia Group&trade; Media Solutions, Expedia Local Expert&reg;, CarRentals.com&trade;, and Expedia Cruises&trade;. &copy; 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: 2029030-50
Employment opportunities and job offers at Expedia Group will always come from Expedia Group&rsquo;s Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you&rsquo;re confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official website to find and apply for job openings at Expedia Group is careers.expediagroup.com/jobs.
Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. This employer participates in E-Verify. The employer will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee's I-9 to confirm work authorization.</div>

Senior Infrastructure & Enterprise Engineer

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