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artificial intelligence specialist

Apple

<div>
 
 Summary
 
 
 
 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'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.
 
 
 Your work may span a variety of directions, including but not limited to:
 
 
 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.
 
 
 
 Minimum Qualifications
 
 
 
 <ul>
 <li>
 Demonstrated expertise in computer vision, natural language processing, and machine learning with a passion for data-centric machine learning.
 </li>
 <li>
 Deep understanding in multi-modal foundation models.
 </li>
 <li>
 Staying on top of emerging trends in generative AI and multi-modal LLM.
 </li>
 <li>
 Strong programming skills and hands-on experience using the following languages or deep learning frameworks: Python, PyTorch, or Jax.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 3+ years of experience with developing and evaluating ML applications, and demonstrated experience in understanding and improving data quality.
 </li>
 <li>
 Strong publication record in relevant conferences (e.g. CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, , etc)
 </li>
 <li>
 Strong problem-solving and communication skills.
 </li>
 <li>
 Ph.D/MS degree in Machine Learning, Natural Language Processing, Computer Vision, Data Science, Statistics or related areas
 
 
 </li>
 </ul>
 
 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 $147,400 and $272,100, 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&rsquo;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&rsquo;s Employee Stock Purchase Plan. You&rsquo;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 &mdash; 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.
 
 
 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.
 
 
 Apple accepts applications to this posting on an ongoing basis.
 
 
</div>

AIML - Machine Learning Engineer, Data and ML Innovation

Wayfair

<div>Who We Are:

Wayfair is an online retail platform with the mission to enable everyone to live in a home they love. To do this Wayfair builds and leverages cutting edge Machine Learning and AI products and we are looking for talented individuals to join us. You will be part of a cross-functional, collaborative team driving development of world-class ML systems that drive real-world impact.

What You&rsquo;ll Do:
<ul>
<li>Design, build, deploy and refine large-scale machine learning models and algorithmic decision-making systems that solve real-world problems for customers</li>
<li><div>
Work cross-functionally with commercial stakeholders to understand business problems or opportunities and develop appropriately scoped analytical solutions</div></li>
<li><div>
Collaborate closely with various engineering, infrastructure, and ML platform teams to ensure adoption of best-practices in how we build and deploy scalable ML services</div></li>
<li><div>
Build robust monitoring, alerting, edge-case handling mechanism</div></li>
<li><div>
Identify new opportunities and insights from the data (where can the models be improved? what is the projected ROI of a proposed modification?)</div></li>
<li>
Be obsessed with the customer and maintain a customer-centric lens in how we frame, approach, and ultimately solve every problem we work on</li>
</ul>
We Are a Match Because You Have:
<ul>
<li>Minimum 0-1 years of experience with PhD, or 3+ years of industry experience with MSc/BaSc in STEM - engineering, computer science, economics, etc.</li>
<li><div>
Proficiency in Python or one other high-level programming language</div></li>
<li><div>
Must have a strong theoretical understanding and solid hands-on expertise deploying machine learning solutions into production.</div></li>
<li><div>
Strong written and verbal communication skills, ability to synthesize conclusions for non-experts, and overall bias towards simplicity</div></li>
<li>
Intellectual curiosity and enthusiastic about continuous learning</li>
</ul>
Nice to Have:
<ul>
<li>Experience with Python ML ecosystem (numpy, pandas, sklearn, XGBoost, etc.) and/or Apache Spark Ecosystem (Spark SQL, MLlib/Spark ML)</li>
<li>
Familiarity with GCP (or AWS, Azure), ML model development frameworks, ML orchestration tools (Airflow, Kubeflow or MLFlow)
</li><li>Experience with Spark, Kubernetes, Docker are nice to have</li></ul> 
<div></div>
<div> 
</div><div>Please note: this is a hybrid position based in Seattle, WA. Wayfair employee's are in-office Tuesday-Thursday with remote flexibility on Monday and Friday.</div><div>

Assistance for Individuals with Disabilities 
Wayfair is fully committed to providing equal opportunities for all individuals, including individuals with disabilities. As part of this commitment, Wayfair will make reasonable accommodations to the known physical or mental limitations of qualified individuals with disabilities, unless doing so would impose an undue hardship on business operations. If you require a reasonable accommodation to participate in the job application or interview process, please let us know by completing our Accomodations for Applicants form. 
 
Need Technical Assistance? 
For more information about applying for a career at wayfair, visit our FAQ page here. 
 
About Wayfair Inc. 
Wayfair is one of the world&rsquo;s largest online destinations for the home. Whether you work in our global headquarters in Boston, or in our warehouses or offices throughout the world, we&rsquo;re reinventing the way people shop for their homes. Through our commitment to industry-leading technology and creative problem-solving, we are confident that Wayfair will be home to the most rewarding work of your career. If you&rsquo;re looking for rapid growth, constant learning, and dynamic challenges, then you&rsquo;ll find that amazing career opportunities are knocking.

No matter who you are, Wayfair is a place you can call home. We&rsquo;re a community of innovators, risk-takers, and trailblazers who celebrate our differences, and know that our unique perspectives make us stronger, smarter, and well-positioned for success. We value and rely on the collective voices of our employees, customers, community, and suppliers to help guide us as we build a better Wayfair &ndash; and world &ndash; for all. Every voice, every perspective matters. That&rsquo;s why we&rsquo;re proud to be an equal opportunity employer. We do not discriminate on the basis of race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, genetic information, or any other legally protected characteristic.

Your personal data is processed in accordance with our Candidate Privacy Notice (https://www.wayfair.com/careers/privacy). If you have any questions or wish to exercise your rights under applicable privacy and data protection laws, please contact us at dataprotectionofficer@wayfair.com.</div></div>

Machine Learning Scientist II - Supplier Ads

Cerebro

<div>
 
 Are you passionate about advancing the frontier of AI? Do you thrive at the intersection of cutting-edge research and real-world impact? A fast-growing AI startup is looking for exceptional AI researchers and engineers with expertise in
 
 multimodal models
 
 to join their world-class team in
 
 Seattle, WA
 
 .
 
 
 
 About Us
 
 
 
 We are a well-funded startup backed by top-tier investors, with a mission to bring real-time AI avatars to life. Our team includes experts with advanced degrees from leading institutions and extensive experience at top tech companies. With significant funding and a clear vision, we are scaling rapidly and looking for top talent to help operationalize cutting-edge research into transformative products.
 
 
 
 What You&rsquo;ll Do
 
 
 
 As an
 
 AI Research Engineer
 
 , you&rsquo;ll play a pivotal role in bridging the gap between research and production. Your responsibilities will include:
 
 <ul>
 <li>
 
 Operationalizing Research
 
 : Collaborate with researchers to transition models from experimental checkpoints to production-ready systems. Establish scalable patterns for large-scale training, rapid experimentation, and deployment of new architectures.
 </li>
 <li>
 
 Optimizing Model Performance
 
 : Profile and enhance model inference for latency and throughput using techniques like quantization, pruning, distillation, and architectural refinements to ensure cost-effective scalability.
 </li>
 <li>
 
 Model Acceleration
 
 : Apply optimization techniques (e.g., TensorRT, ONNX, vLLM) to accelerate multimodal models, including video diffusion, large language models (LLMs), and speech models.
 </li>
 <li>
 
 Designing Data Pipelines
 
 : Build efficient pipelines for video data ingestion, preprocessing, and training at
 
 petabyte scale
 
 using tools like Dagster and Ray.
 </li>
 <li>
 
 Evaluating and Iterating
 
 : Develop evaluation frameworks to measure model quality, establish benchmarks, and guide continuous improvement of model capabilities.
 </li>
 </ul>
 
 
 What We&rsquo;re Looking For
 
 
 
 We&rsquo;re seeking candidates with a strong foundation in AI research and production engineering. The ideal candidate will have:
 
 <ul>
 <li>
 
 Production ML Experience
 
 : Proven track record of deploying ML models to production, with a deep understanding of common failure modes (e.g., resource contention, OOMs, batch optimization) and how to address them.
 </li>
 <li>
 
 Deep Learning Expertise
 
 : Strong knowledge of PyTorch and modern ML architectures, with experience training and optimizing large models (e.g., transformers, diffusion models).
 </li>
 <li>
 
 Systems Proficiency
 
 : Comfort working with GPUs, debugging CUDA issues, and profiling model workloads to identify compute or memory bottlenecks.
 </li>
 <li>
 
 Data Engineering Skills
 
 : Experience building scalable data pipelines for high-bandwidth media processing and training workflows.
 </li>
 </ul>
 
 
 Preferred Qualifications
 
 
 <ul>
 <li>
 Experience with
 
 video or audio models
 
 in research or production settings.
 </li>
 <li>
 Familiarity with
 
 low-level optimization
 
 (e.g., CUDA kernels, Triton, custom operators).
 </li>
 <li>
 Knowledge of
 
 real-time ML systems
 
 and latency-critical inference.
 </li>
 <li>
 Prior work with
 
 model compression techniques
 
 (quantization, distillation, pruning).
 </li>
 </ul>
 
 
 Why Join Us?
 
 
 <ul>
 <li>
 
 Impactful Work
 
 : Your contributions will directly shape the future of real-time AI avatars, advancing cutting-edge research into products that touch millions of lives.
 </li>
 <li>
 
 World-Class Team
 
 : Collaborate with some of the brightest minds in AI, including researchers and engineers from top institutions and companies.
 </li>
 <li>
 
 Growth Opportunities
 
 : Be part of a fast-growing startup with significant funding and a clear vision for the future.
 </li>
 <li>
 
 In-Person Collaboration
 
 : Work alongside your teammates in our vibrant
 
 Seattle HQ
 
 , fostering creativity and innovation through daily collaboration.
 </li>
 </ul>
 
 
 How to Apply
 
 
 
 If you&rsquo;re excited about the opportunity to work on
 
 multimodal AI models
 
 and help bring groundbreaking research to life, we&rsquo;d love to hear from you! Apply now to join a team shaping the future of AI.
 
</div>

Artificial Intelligence Researcher

Boeing

<div>At Boeing, we innovate and collaborate to make the world a better place. We&rsquo;re committed to fostering an environment for every teammate that&rsquo;s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.
The Boeing Company is currently seeking a Mid-Level Data Catalog Product Specialist to join the team in Seattle, AZ; Mesa, AZ; or Plano, TX.
The selected candidate will support the adoption, capability development, and product lifecycle for the Alation Data Catalog across Boeing. This role sits on the Enterprise Artificial Intelligence and Data (EAI&amp;D) Data Governance team and partners across Data Engineering, Analytics, Business Intelligence (BI), Security, Business Units (BUs), and Suppliers to deliver a catalog-driven data ecosystem that improves discoverability, trust, access, and stewardship of Boeing data.
The successful candidate will combine product management discipline (roadmaps, user research, value propositions, Service Level Agreements (SLAs), Key Performance Indicators (KPIs), etc.) with hands-on experience in data governance, common data platforms, and business intelligence to accelerate catalog adoption and drive measurable business outcomes.
Position Responsibilities:<ul><li>
Support &amp; drive product vision, strategy, and roadmap for the Alation Data Catalog to support data discovery, data lineage, stewardship workflows, access policies, and metadata management across Boeing</li><li>
Conduct user research and stakeholder discovery (data stewards, analysts, engineers, data consumers, security teams) to define product requirements and prioritize backlog using outcomes/KPI-driven decision making</li><li>
Define, measure, and iterate on KPIs (e.g., catalog adoption, active users, metadata coverage, stewardship SLA, search success rate, data asset usage) and deliver regular product metrics and reports</li><li>
Partner with Data Engineering and Platform teams to integrate Alation with enterprise data sources and metadata harvesters (Teradata, Google BigQuery, AWS Redshift, cloud object stores, data warehouses, etc.), ensuring scalable, secure integrations</li><li>
Act as a primary business-facing product owner for the catalog: run demos, onboard new user groups, design training/enablement, and evangelize value internally and externally where needed</li><li>
Design and deliver BI/analytics for product metrics and user-reported outcomes; build dashboards and reports to track adoption, value delivered, and areas for improvement</li><li>
Support data governance processes (data ownership/stewardship assignments, access controls, policy enforcement workflows) and help operationalize governance playbooks with tooling</li><li>
Facilitate governance forums, stakeholder working groups, and prioritize enhancements that reduce friction and increase trust in corporate data assets</li></ul>
Basic Qualifications (Required Skills/Experience):<ul><li>
3+ years of experience in technical product management or product ownership, specifically in data science, AI, data products, or related technical domains</li><li>
3+ years of experience in an agile work environment</li><li>
3+ years of experience with data governance frameworks and compliance standards relevant to data management</li><li>
3+ years of experience with analytics technology stacks; Azure, GCP, Teradata, etc.</li><li>
Willing and able to travel domestically 10% of the time</li></ul>
Preferred Qualifications (Desired Skills/Experience):<ul><li>
Certifications or formal training in product management, data governance, or cloud data technologies</li><li>
Experience working directly with Alation or another enterprise data catalog or metadata management tool</li><li>
Experience integrating metadata harvesters, catalog connectors, or APIs between catalogs and data platforms</li><li>
Experience with cloud data architectures (AWS, GCP, Azure) and cloud-native data services</li><li>
Experience with data security/privacy frameworks and implementing access controls in catalog tooling</li><li>
Experience designing and implementing adoption programs, training curricula, and community of practice models for governance/stewardship</li><li>
Experience with metrics instrumentation and building product health dashboards to demonstrate ROI</li></ul>
Conflict of Interest:
Successful candidates for this job must satisfy the Company&rsquo;s Conflict of Interest (COI) assessment process.
Drug Free Workplace:
Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies.
Pay &amp; Benefits:
At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities.
The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work.
The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.
Pay is based upon candidate experience and qualifications, as well as market and business considerations.
Summary pay range: $105,400 &ndash; $152,950 
Applications for this position will be accepted until Mar. 10, 2026 
Export Control Requirements:
This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a &ldquo;U.S. Person&rdquo; as defined by 22 C.F.R. &sect;120.62 is required. &ldquo;U.S. Person&rdquo; includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee.
Export Control Details:
US based job, US Person required
Relocation
Relocation assistance is not a negotiable benefit for this position.
Visa Sponsorship
Employer will not sponsor applicants for employment visa status.
Shift
This position is for 1st shift 
Equal Opportunity Employer:
Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.</div>

Mid-Level Data Catalog Product Specialist

OpenAI

<div>
 
 About The Team
 
 
 
 We bring OpenAI's technology to the world through products like ChatGPT and the OpenAI API. Our customers build fast-growing businesses around our APIs, which power products that were never before possible. We simultaneously ensure that our powerful tools are used responsibly. Safe deployment is more important to us than unfettered growth.
 
 
 The Engineering team manages a massive fleet of GPUs with scalable, robust infrastructure powered by Kubernetes, Go, Python, Terraform, Kafka, Postgres, and Snowflake.
 
 
 
 About The Role
 
 
 
 We&rsquo;re looking for experienced and creative engineers to help us scale our existing systems and build the next-generation system to enable a whole new class of products. We are seeking an engineer who is comfortable with full-stack development and has experience with Real-Time Communication (RTC). Candidates should have experience with scaled real-time communication systems in production.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design and build development and production platforms that power our systems.
 </li>
 <li>
 Partner with researchers, engineers, product managers, and designers to bring new features and research capabilities to the world.
 </li>
 <li>
 Accelerate engineering productivity by empowering your fellow engineers with excellent tooling and systems.
 </li>
 <li>
 Build and provide operational support for globally deployed systems, powering some of the most advanced products in the market. This includes participating in an on-call rotation to respond to critical incidents as needed.
 
 
 </li>
 </ul>
 
 You Might Thrive In This Role If You
 
 
 
 <ul>
 <li>
 Have significant experience building (and rebuilding) production systems to deliver new product capabilities and handle increasing scale.
 </li>
 <li>
 Have experience with real-time communication products and systems, including audio and video calling, WebRTC or competing protocols, encoding/decoding, signaling, lip sync, etc.
 </li>
 <li>
 Care deeply about user experience and take pride in building products that solve customer needs.
 </li>
 <li>
 Have a humble attitude, eagerness to help colleagues, and a willingness to do whatever it takes to make the team succeed.
 </li>
 <li>
 Own problems end-to-end and are willing to pick up any necessary knowledge to get the job done.
 </li>
 <li>
 Have been a startup founder or an early-stage engineer.
 </li>
 <li>
 Experience in Machine Learning techniques is a plus but not required.
 
 
 </li>
 </ul>
 
 About OpenAI
 
 
 
 OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
 
 
 We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
 
 
 For additional information, please see OpenAI&rsquo;s Affirmative Action and Equal Employment Opportunity Policy Statement.
 
 
 Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
 
 
 To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
 
 
 We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
 
 
 OpenAI Global Applicant Privacy Policy
 
 
 At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
</div>

Software Engineer, Real Time

Security Engineer - Investigator (High Severity Scams)

Careers In Travel | Destination Planners

<div>
 
 Job Title:
 
 Hospitality Customer Service &ndash; Hotel Reservations (Remote)
 
 
 
 Company:
 
 Destination Knot
 
 
 
 Job Type:
 
 Flexible Schedule | Remote Work
 
 
 
 About Destination Knot
 
 
 
 Destination Knot is a professional travel planning company dedicated to creating exceptional travel experiences for clients around the globe. We specialize in hotel accommodations, cruises, all-inclusive resorts, and group travel, with a focus on outstanding customer service and attention to detail.
 
 
 
 Position Overview
 
 
 
 We are seeking friendly, detail-oriented individuals to join our team as
 
 Hospitality Customer Service Representatives
 
 for hotel reservations. In this fully remote role, you will assist clients with selecting, booking, and managing hotel stays, ensuring their travel plans are seamless and stress-free. This position is ideal for individuals who enjoy working with people, have excellent communication skills, and want flexibility in their work environment.
 
 
 
 Key Responsibilities
 
 
 
 Communicate with clients to understand their hotel needs, preferences, and budgets
 
 
 Provide accurate information about hotel options, pricing, and amenities
 
 
 Assist clients with making and managing reservations
 
 
 Maintain accurate records of client interactions and bookings
 
 
 Respond to inquiries promptly and professionally via phone, email, or online platforms
 
 
 Collaborate with team members to ensure client satisfaction
 
 
 Stay current on travel trends, hotel offerings, and industry updates
 
 
 
 Requirements
 
 
 
 Strong communication and customer service skills
 
 
 Friendly, professional demeanor with attention to detail
 
 
 Ability to work independently and manage multiple tasks
 
 
 Basic computer proficiency and reliable internet connection
 
 
 Interest in hospitality, travel, and creating memorable guest experiences
 
 
 Previous experience in customer service, hospitality, or reservations is a plus but not required
 
 
 
 What We Offer
 
 
 
 Flexible, remote work environment
 
 
 Comprehensive training and access to industry tools and booking systems
 
 
 Supportive team culture and mentorship
 
 
 Income-earning possibilities based on performance
 
 
 Exclusive travel discounts and perks
 
 
 Opportunities for personal and professional growth
 
 
 
 Ready to provide outstanding service while helping clients book their ideal hotel stays?
 
 
 
 Apply today and join the Destination Knot team!
 
 
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
</div>

Hospitality Customer Coordinator– Hotel Reservations (Remote)

Explore 69+ Artificial intelligence specialist in Seattle this March. Find roles across top companies and apply now to boost your career.