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machine learning engineer

Paramount Streaming

<div>#WeAreParamount on a mission to unleash the power of content&hellip; you in? 
We&rsquo;ve got the brands, we&rsquo;ve got the stars, we&rsquo;ve got the power to achieve our mission to entertain the planet &ndash; now all we&rsquo;re missing is&hellip; YOU! Becoming a part of Paramount means joining a team of passionate people who not only recognize the power of content but also enjoy a touch of fun and uniqueness. Together, we co-create moments that matter &ndash; both for our audiences and our employees &ndash; and aim to leave a positive mark on culture. 
Machine Learning Engineer, Presentation and Visual Optimization(45540) 
Overview: 
We are seeking a Machine Learning Engineer to join our Presentation pod. While other teams within AMLG focus on the &quot;recommender(what to show), our pod owns the &quot;visual gateway.&quot; Your mission is to implement and scale the ML systems that optimize how content is displayed to capture user attention. You will own the development of specific features and components within our artwork selection, marquee personalization, and carousel design pipelines. In this role, you will be expected to deliver autonomously on defined technical problems, ranging from bandit-based reward signals to computer vision feature extraction. You will work in a high-velocity environment where visual and attention optimization are the primary goals, requiring you to balance technical quality with delivery pace.
Why This Role Matters as an individual contributor in the presentation pod, you are the engine of execution. In this role, you will:
Own the Visual Gateway: Deliver the features that identify the first thing millions of users see when they open our apps.
Drive Systematic Quality: Improve the reliability and velocity of our experimentation systems, ensuring our visual tests are statistically sound and performant.
Scale Discovery: Build the components that allow us to personalize the &quot;look and feel&quot; of the platform, not just the content list.
Key Responsibilities:
Feature &amp; Component Ownership: Design and implement specific solutions for Multi-Armed Bandit (MAB) systems and visual feature pipelines.
Self-governing Delivery: Own the end-to-end implementation of defined tasks, from data ingestion to production deployment, with moderate autonomy. System Optimization: Proactively identify and fix bottlenecks in team systems to improve quality, reliability, or engineering velocity. Collaborative Quality: Participate actively in design and code reviews, providing constructive feedback and ensuring high technical standards within your scope. Data-Driven Execution: Set up and monitor online experiments (A/B tests and bandit rollouts) to measure the impact of presentation features on user interaction 
Basic Qualifications: 
3+ years of experience in machine learning engineering or backend software engineering.
Proven Delivery: Experience owning and delivering technical features or components autonomously.
Technical Stack: Proficiency in Python and experience with ML frameworks like PyTorch or TensorFlow.
Data Foundations: Strong skills in SQL and experience with distributed data processing (e.g., Spark or Databricks).
Engineering Rigor: Familiarity with version control, CI/CD, and writing production-grade, maintainable code. 
 
 
Additional Qualifications: 
Familiarity with Multi-Armed Bandits or Reinforcement Learning concepts. Background in Computer Vision or image processing.
Experience in a high-scale streaming or e-commerce environment. Experience with Cloud Infrastructure, including AWS, GCP, and Azure.
#LI-RJ1 
Paramount Streaming, a division within Paramount Global, is the home to the company's direct-to-consumer services spanning free and paid in the form of Pluto TV and Paramount+. Pluto TV is the global leader in free ad-supported TV, delivering more than 1,400 global channels and an extensive library of streaming content, including live and original channels. Paramount+, digital subscription video-on-demand and live streaming service, combines live sports, breaking news, and A Mountain of Entertainment&trade;. Paramount+ features an expansive library of original series, hit shows and popular movies across every genre from world-renowned brands and production studios, including SHOWTIME&reg;. 
ADDITIONAL INFORMATION 
Hiring Salary Range: $124,000.00 - 150,000.00. 
The hiring salary range for this position applies to New York, California, Colorado, Washington state, and most other geographies. Starting pay for the successful applicant depends on a variety of job-related factors, including but not limited to geographic location, market demands, experience, training, and education. The benefits available for this position include medical, dental, vision, 401(k) plan, life insurance coverage, disability benefits, tuition assistance program and PTO or, if applicable, as otherwise dictated by the appropriate Collective Bargaining Agreement. This position is bonus eligible. 
<div>What We Offer:</div><ul><li>
Attractive compensation and comprehensive benefits packages. Check out our full list of benefits here: https://www.paramount.com/careers/benefits</li><li>
Generous paid time off.</li><li>
An exciting and fulfilling opportunity to be part of one of Paramount&rsquo;s most dynamic teams.</li><li>
Opportunities for both on-site and virtual engagement events.</li><li>
Unique opportunities to make meaningful connections and build a vibrant community, both inside and outside the workplace.</li><li>
Explore life at Paramount: https://www.paramount.com/careers/life-at-paramount</li></ul> 
Paramount is an equal opportunity employer (EOE) including disability/vet. 
At Paramount, the spirit of inclusion feeds into everything that we do, on-screen and off. From the programming and movies we create to employee benefits/programs and social impact outreach initiatives, we believe that opportunity, access, resources and rewards should be available to and for the benefit of all. Paramount is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, and Veteran status. 
If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access https://www.paramount.com/careers as a result of your disability. You can request reasonable accommodations by calling 212.846.5500 or by sending an email to paramountaccommodations@paramount.com. Only messages left for this purpose will be returned.</div>

Machine Learning Engineer, Presentation and Visual Optimization

DataAnnotation

<div>
 Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule.
 
 
 We are looking for proficient programmers to help advance AI development. As a member of DataAnnotation&rsquo;s coding team, you&rsquo;ll be part of a growing community of over 100,000 professionals &mdash; including front-end, back-end, full-stack, machine learning, and other engineers &mdash; who are driving real-world impact in AI development.
 
 
 Our platform offers an engaging blend of flexibility and challenge: you&rsquo;ll work closely with state-of the art AI models to take on programming tasks that include creating and solving challenging coding problems, building beautiful apps with rich functionality, and synthesizing insights through data analysis and visualization. Your work directly contributes to refining intelligent systems that learn, adapt, and evolve. Some team members fit this work alongside a full-time role, while others treat it as their primary focus, choosing projects and schedules that align with their availability and goals.
 
 
 To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass that assessment, you&rsquo;ll receive an email confirmation, and paid work will become available to you through our platform.
 
 
 
 Benefits
 
 
 
 <ul>
 <li>
 Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand.
 </li>
 <li>
 Flexible schedule: choose which projects you take on and when you work.
 </li>
 <li>
 Competitive pay: projects are paid hourly, starting at $50-$100+/hr. Opportunities for higher-paying projects are available with strong performance.
 </li>
 <li>
 Impact: help shape the future of AI technologies.
 
 
 </li>
 </ul>
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design and solve diverse coding problems used to train AI systems with an emphasis on Android development.
 </li>
 <li>
 Write clear, high-quality code snippets and detailed explanations.
 </li>
 <li>
 Evaluate AI-generated code for accuracy, performance, and clarity.
 </li>
 <li>
 Provide feedback that directly shapes the next generation of AI models.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Fluency in English (native or bilingual level).
 </li>
 <li>
 Preferred experience in Kotlin. Proficiency in at least one of other the following programming languages or frameworks: JavaScript, TypeScript, Python, C, C#, C++, React, Go, Java, or Swift.
 </li>
 <li>
 Excellent writing and grammar skills.
 </li>
 <li>
 A bachelor&rsquo;s degree (completed or in progress).
 </li>
 <li>
 Previous experience as a Software Developer, Coder, Software Engineer, or Programmer is preferred.
 
 
 </li>
 </ul>
 Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand. Those located outside of these countries will not see work or assessments available on our site at this time.
 
 
 #SWE
</div>

AI Training Engineer - AI Trainer

NYU Langone Health

<div>NYU Grossman School of Medicine is one of the nation's top-ranked medical schools. For 175 years, NYU Grossman School of Medicine has trained thousands of physicians and scientists who have helped to shape the course of medical history and enrich the lives of countless people. An integral part of NYU Langone Health, the Grossman School of Medicine at its core is committed to improving the human condition through medical education, scientific research, and direct patient care. At NYU Langone Health, equity and inclusion are fundamental values. We strive to be a place where our exceptionally talented faculty, staff, and students of all identities can thrive. We embrace inclusion and individual skills, ideas, and knowledge.
 
 
For more information, go to med.nyu.edu, and interact with us on LinkedIn, Glassdoor, Indeed, Facebook, Twitter and Instagram. 


Position Summary: 
We have an exciting opportunity to join our team as a Senior Data Science Analyst/Engineer. 
 
As part of the Complement-ARIE program, the NYU-Sage New Approach Methodologies (NAMs) Data Hub and Coordinating Center will create a controlled access platform for researchers to share and analyze data from NAMs approaches. The program will build tools to standardize and harmonize NAMs data, store it securely, and provide researchers with powerful analytical and visualization tools. 
The successful candidate will co-lead the design and implementation of a comprehensive metadata framework ensuring FAIR (Findable, Accessible, Interoperable, Reusable) compliance and data discoverability across the NAMs Data Hub. This position will extend the C2M2 (Crosscut Metadata Model) to create an integrated framework for NAMs data, develop Common Data Elements (CDEs), integrate terminologies and ontologies for NAMs representation, embed provenance tracking, and author and maintain metadata schemas defining data structures and validation rules to ensure interoperability across all NAMs datasets. 


Job Responsibilities: 

<h2 class="jobSectionHeader">
Metadata Framework Design and Governance</h2>
<ul><li>Design and implement FAIR and interoperable metadata framework for NAMs data</li>
<li>Define and maintain metadata schemas, profiles, and validation rules for NAMs data modalities such as clinical, omics, imaging, experimental and observational data</li>
<li>Integrate provenance models (e.g., PROV-O) into the metadata framework</li>
<li>Develop comprehensive metadata dictionaries</li>
<li>Oversee metadata versioning, changemanagement, and deprecation processes, ensuring release notes, impact assessments, and backwardcompatibility</li>
<li>Establish metadata quality assessment frameworks</li>
<li>Ensure metadata standards and implementations align with institutional and external policies including privacy, access control, and data use conditions</li>
</ul><h2 class="jobSectionHeader">Ontologies, Terminologies, and Semantic Modeling</h2>
<ul><li>Select and integrate appropriate reference terminologies and ontologies for NAMs data representation into a comprehensive NAMs ontology framework</li>
<li>Perform gap analysis and define mappings and crosswalks between local terminologies and reference ontologies</li>
<li>Design semantic models using RDF/OWL, SKOS, JSON-LD, and related standards to enable machine-interpretable, ontology-driven data integration and reasoning</li>
<li>In collaboration with the engineering team, integrate NAMs terminologies and ontologies with existing Standardized Vocabularies and align Metadata schemas with an evolving CDM</li>
</ul>
Metadata and Ontology Workflows
<ul>
<li>Collaborate with data engineering and analytics teams to integrate metadata and ontology services into NAMs Hub pipelines and analytical platforms</li>
<li>Participate in the adoption of emerging AI-enabled tools for metadata extraction, enrichment, and quality assurance</li>
<li>Use AI-assisted coding tools to accelerate development of schemas, validation scripts, and queries</li>
</ul><h2 class="jobSectionHeader">Collaboration and Community Engagement</h2>
<ul><li>Develop and deliver training and guidance materials on metadata, ontologies, and FAIR data for internal teams and external collaborators</li>
<li>Coordinate multi-institutional metadata and standards activities, including consensus-building, review cycles, and formal approval processes</li>
<li>Participate in the Standardization Workgroup to develop and refine standards</li>
<li>Collaborate with related data standard organizations such as CFDE and OHDSI to align NAMs metadata standards with their data models and standardized vocabularies.</li></ul> 


Minimum Qualifications: 
To qualify you must have a Masters degree in a quantitative discipline (Biomedical Informatics, Computer Science, Machine Learning, Applied Stascs, Mathematics or similar field) and 
5-7 years of experience in machine learning/ data science. 
Proficiency in at least one programming language (Python, R) and machine learning tools (scikitlearn, R) 
Knowledge of predictive modeling and machine learning concepts, including design, development, evaluation, deployment and scaling to large datasets 
Familiarity with computing models for big data Hadoop / MapReduce, Spark etc. 
Knowledge of databases (Relational / SQL, NOSQL MongoDB etc.) 


Preferred Qualifications: 
PhD degree 
Demonstrated track record of successfully applying metadata and data standards to research or operational datasets in any biomedical field, with tangible outcomes such as improved interoperability, FAIRness assessments, or adoption by external stakeholders 
Deep knowledge of FAIR principles and their practical application 
Strong understanding of metadata standards including Dublin Core, DataCite, DCAT, PROV-O, and Schema.org 
Experience with RDF, SKOS, SPARQL, and semantic web standards for metadata representation 
Knowledge of controlled vocabularies, taxonomies, and ontologies for metadata annotation 
Experience with schema definition languages (e.g., LinkML) and validation frameworks 
Knowledge of and practical experience with biomedical terminologies and ontologies 
Strong analytical skills for metadata modeling and information architecture 
Excellent documentation skills with ability to create clear technical specifications and guidelines 
Strong communication skills for training and stakeholder engagement 
Demonstrated ability to work collaboratively in multi-institutional research environments 
Experience with version control systems for managing schemas and documentation 
Experience with Common Fund Data Ecosystem (CFDE) and the C2M2 metadata model 
Understanding of biomedical data types including genomics, imaging, and laboratory data 
Knowledge of OMOP CDM and Standardized Vocabularies 
Published work on metadata standards or FAIR data implementation 
Experience coordinating metadata and data standardization initiatives across multiple institutions 
Experience with automated metadata extraction and enrichment tools 
Familiarity with AI/ML tools and methods, including their application to metadata enrichment, automated annotation, or standards development workflows 
Familiarity with NAMs methodologies and alternative testing approaches 


Qualified candidates must be able to effectively communicate with all levels of the organization.
 
 
NYU Grossman School of Medicine provides its staff with far more than just a place to work. Rather, we are an institution you can be proud of, an institution where you'll feel good about devoting your time and your talents. At NYU Langone Health, we are committed to supporting our workforce and their loved ones with a comprehensive benefits and wellness package. Our offerings provide a robust support system for any stage of life, whether it's developing your career, starting a family, or saving for retirement. The support employees receive goes beyond a standard benefit offering, where employees have access to financial security benefits, a generous time-off program and employee resources groups for peer support. Additionally, all employees have access to our holistic employee wellness program, which focuses on seven key areas of well-being: physical, mental, nutritional, sleep, social, financial, and preventive care. The benefits and wellness package is designed to allow you to focus on what truly matters. Join us and experience the extensive resources and services designed to enhance your overall quality of life for you and your family.
 
 
NYU Grossman School of Medicine is an equal opportunity employer and committed to inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration. We require applications to be completed online.
 
 
View Know Your Rights: Workplace discrimination is illegal.

NYU Langone Health provides a salary range to comply with the New York state Law on Salary Transparency in Job Advertisements. The salary range for the role is $121,792.22 - $162,052.80 Annually. Actual salaries depend on a variety of factors, including experience, specialty, education, and hospital need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.

To view the Pay Transparency Notice, please click here</div>

Senior Metadata and Standards Specialist

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
As a Software Development Engineer on the Sponsored Products and Brands Off-Search team, you will help build hyper-scale online systems, offline data pipelines, and machine learning infrastructure&mdash;leveraging Generative AI (GenAI) and Large Language Models (LLMs) to transform advertising and shopping experiences. You will have the opportunity to transform core areas such as ad retrieval, ad allocation, whole-page relevance, and differentiated recommendations by designing and delivering high-quality, architecturally sound systems aligned with business needs. With the support of GenAI, you will design globally scalable solutions that evolve in the right long-term direction while delivering iterative value to customers. This is a rare opportunity to redefine how ads are retrieved, allocated, and experienced&mdash;elevating them into personalized, contextually aware, and inspiring parts of the customer journey. If you are passionate about applying frontier AI to solve real-world problems at massive scale and impact, this is your chance to define the next chapter of advertising engineering. 
 
Key job responsibilities 
This role will be critical in redesigning how ads contribute to a personalized, relevant, and inspirational shopping experience, with the customer value proposition at the forefront. Key responsibilities include, but are not limited to: 
 
<ul><li>Design, develop, and operate large-scale distributed systems for Sponsored Products and Brands advertising.</li><li>Build and optimize data pipelines and services to improve ad retrieval, allocation, and recommendations.</li><li>Apply Generative AI (GenAI) and Large Language Models (LLMs) to deliver more relevant, personalized ad and shopping experiences.</li><li>Collaborate with applied scientists, product managers, and other engineers to define and deliver customer-focused solutions.</li><li>Write high-quality, maintainable code and participate in design and code reviews.</li><li>Drive operational excellence through monitoring, automation, and continuous improvement.</li></ul> 
About the team 
The Sponsored Products and Brands (SPB) team at Amazon Ads is re-imagining the advertising landscape through state-of-the-art generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising.
 
 
About our team 
The Off-Search team within Sponsored Products and Brands (SPB) is focused on building delightful ad experiences across various surfaces beyond Search on Amazon&mdash;such as product detail pages, the homepage, and store-in-store pages&mdash;to drive monetization. Our vision is to deliver highly personalized, context-aware advertising that adapts to individual shopper preferences, scales across diverse page types, remains relevant to seasonal and event-driven moments, and integrates seamlessly with organic recommendations such as new arrivals, basket-building content, and fast-delivery options. To execute this vision, we work in close partnership with Stores stakeholders to lead the expansion and growth of SP across Amazon-owned and -operated pages beyond Search. We operate full stack&mdash;from backend ads-retail edge services, ads retrieval, and ad auctions to shopper-facing experiences&mdash;all designed to deliver meaningful value. 
 
Curious about our advertising solutions? Discover more about Sponsored Products and Sponsored Brands to see how we&rsquo;re helping businesses grow on Amazon.com and beyond!</div><h2 class="jobSectionHeader"> 
BASIC QUALIFICATIONS</h2><ul><li>3+ years of non-internship professional software development experience</li><li>Knowledge of programming languages such as C/C++, Python, Java or Perl</li><li>Experience in computer science fundamentals (object-oriented design, data structures, algorithm design, problem solving and complexity analysis)</li><li>Experience designing, building, operating, and managing large-scale distributed systems or web services</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li><li>Hands-on experience applying Generative AI (GenAI) or Large Language Model (LLM) to real-world problems at scale.</li><li>Familiarity with NLP/ML frameworks (e.g., PyTorch, Hugging Face).</li><li>Experience in building machine learning systems, recommendation engines, or large-scale data pipelines.</li><li>Experience with AWS services or other cloud platforms.</li><li>Strong track record of delivering complex projects end-to-end.</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, CA, Palo Alto - 165,200.00 - 223,600.00 USD annually 
USA, NY, New York - 158,100.00 - 213,800.00 USD annually 
USA, WA, SEATTLE - 143,700.00 - 194,400.00 USD annually</div>

Software Development Engineer, Sponsored Products and Brands Off-Search

CHANEL

<div>
 
 At Chanel, we are focused on creating an inclusive culture that nurtures personal growth, contributing to collective progress. We believe the uniqueness of each individual increases the diversity, complementarity, and effectiveness of our teams. We strongly encourage your application, as we value the perspective, experience and potential you could bring to CHANEL.
 
 
 
 
 About the role:
 
 
 
 CHANEL is now hiring a Data Scientist for our Digital Client Experience (DCX) Data team in New York City. Our ideal Data Scientist is able and experienced to lead advanced analytics and data-driven initiatives that enhance our client experiences digitally and in boutiques. This role will define and execute the data science roadmap, develop machine learning models, and establish best practices&mdash;while operating as a stand-alone contributor within the DCX Data Team.
 
 
 Beyond technical delivery, this role will play a pivotal part in making CHANEL US more AI-driven, piloting Generative AI projects, and driving adoption of advanced analytics across teams through effective change management.
 
 
 
 Required tech:
 
 Python, R, Machine Learning, Big Query, SQL, etc.
 
 
 
 What impact you can create at CHANEL:
 
 
 
 
 <ul>
 <li>
 Own and execute the data science roadmap for CHANEL US, aligned with digital transformation priorities.
 </li>
 <li>
 Design and implement advanced analytics solutions, including predictive modeling, machine learning, and AI-driven use cases.
 </li>
 <li>
 Lead AI adoption initiatives, introducing innovative approaches and piloting Generative AI projects for business impact while protecting the brand.
 </li>
 <li>
 Drive change management to embed advanced analytics into day-to-day workflows, helping teams embrace technology and new ways of working.
 </li>
 <li>
 Establish data science best practices and frameworks for scalable, production-ready models.
 </li>
 <li>
 Execute end-to-end projects: data preparation, feature engineering, model development, deployment, and monitoring.
 </li>
 <li>
 Implement ML Ops practices for model lifecycle management and scalability.
 </li>
 <li>
 Develop data pipelines and automation workflows, including API integrations for system connectivity.
 </li>
 <li>
 Collaborate cross-functionally with Business teams, legal, Tech, and external partners to integrate solutions into production workflows.
 </li>
 <li>
 Manage stakeholders effectively, ensuring alignment and buy-in across Fragrance &amp; Beauty, Fashion, Watches &amp; Fine Jewelry (WFJ) divisions.
 </li>
 <li>
 Communicate complex concepts simply, delivering clear narratives and actionable recommendations to senior leadership.
 </li>
 <li>
 Promote data storytelling and experimentation (e.g., A/B testing) to validate impact and foster a culture of innovation.
 
 
 
 </li>
 </ul>
 
 You are energized by:
 
 
 
 
 <ul>
 <li>
 Exceptional critical and creative thinking skills including evaluating risks and contingencies, developing structure in ambiguity
 </li>
 <li>
 Data-driven decision making for products and services
 </li>
 <li>
 Excellent project management and communication skills
 </li>
 <li>
 Connecting the dots on pain points, bring a key eye for details and expert problem perception with solutions mindset
 </li>
 <li>
 Ability to translate technical jargon into simple business terms
 </li>
 <li>
 Working in a highly collaborative environment
 </li>
 <li>
 Building strong partnerships across business and technology teams in a global organization
 </li>
 <li>
 Championing change and fostering a culture of accountability and innovation
 
 
 
 </li>
 </ul>
 
 What you will bring to the team:
 
 
 
 
 <ul>
 <li>
 Experience with personalization, recommendation of engines, and segmentation
 </li>
 <li>
 API integration and automation skills (e.g., building pipelines, connecting systems) are a strong plus
 </li>
 <li>
 Familiarity with Salesforce CRM systems and digital transformation programs
 </li>
 <li>
 Luxury retail or client-centric industries favorable but not required
 
 
 
 </li>
 </ul>
 
 Required Skills &amp; Qualifications
 
 
 
 
 <ul>
 <li>
 Minimum of 7 years of experience in data science roles with proven ability to deliver projects independently
 </li>
 <li>
 Expert-level coding skills in Python or R, with strong experience in developing and deploying machine learning models
 </li>
 <li>
 SQL proficiency is mandatory for data manipulation and querying large datasets
 </li>
 <li>
 Hands-on experience with Google Big Query as a core analytics platform
 </li>
 <li>
 Familiarity with Generative AI frameworks and emerging AI technologies
 </li>
 <li>
 Experience with MLOps tools and version control (e.g., Git)
 </li>
 <li>
 Strong business acumen and ability to influence organizational change
 </li>
 <li>
 Exceptional communication and stakeholder management skills, including the ability to simplify complexity for senior leaders
 
 
 
 </li>
 </ul>
 
 Position Logistics:
 
 
 
 
 <ul>
 <li>
 Hybrid work &ndash; required 3 days onsite at CHANEL offices in New York City
 </li>
 <li>
 Minimum of 7 years of experience in data science roles with proven ability to deliver projects independently
 </li>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Data Science or equivalent
 </li>
 <li>
 Chanel, Inc. reserves the right to edit, change, or make exceptions on designations where circumstances where deemed appropriate.
 
 
 
 </li>
 </ul>
 
 
 
 Compensation:
 
 
 
 
 <ul>
 <li>
 The anticipated base salary range for this position is $87,500-$190,000. A base salary is one component of the total compensation for this position. Other forms of variable pay [may/will] be offered for this position. Other components [may/will] include bonus potential, benefits, and/or perks.
 
 
 
 </li>
 </ul>
 
 Benefits and Perks:
 
 
 
 
 <ul>
 <li>
 Wellbeing resources include dedicated paid time off for wellbeing (2-week August Office Closure) and a Wellbeing fund
 </li>
 <li>
 Family and care giving benefits (inclusive of parental leave, fertility support, MilkStork, and Care.com Membership)
 </li>
 <li>
 Generous paid time off policies to include vacation, holiday, sick and volunteer days
 </li>
 <li>
 401K and other incentives
 </li>
 <li>
 Robust healthcare offerings; medical, dental, vision, MDLIVE (virtual care), One Medical, Flexible Spending Accounts (Health Care &amp; Dependent Care), Health Savings Account and Employee Assistance Program
 </li>
 <li>
 Life insurance, Accidental Death &amp; Dismemberment, Short Term Disability, Long Term Disability, Health Advocate, International Business Travel Accident &amp; Medical, and Commuter Transit &amp; Parking
 
 
 
 </li>
 </ul>
 
 Additional Information:
 
 
 
 Chanel is a private company whose values are grounded in creating conditions for people to perform at their best and feel fulfilled and confident in their work. We offer a unique work environment where individuals are encouraged to better understand the brand, the business, and motivations, so that together we can unlock the possibilities of growth. This is reflected in:
 
 
 
 Diversity and Inclusion:
 
 
 
 
 <ul>
 <li>
 At CHANEL, we are intentional in promoting Diversity &amp; Inclusion. We foster respect, empathy, and dignity for all. We believe strongly that the diversity of our people across the full spectrum of human differences is essential to our organisation and the connections we have with each other and our clients.
 </li>
 <li>
 We offer Employee Resource Groups in the US that are voluntary, open to all, employee-led groups formed around a shared identity or lived experience, whose aim is to foster a diverse, inclusive, and equitable community aligned with the values and missions of the communities they support.
 
 
 
 </li>
 </ul>
 
 Chanel Community:
 
 
 
 
 <ul>
 <li>
 CHANEL Community empowers our employees to channel their passions, talents and sense of purpose to contribute to and learn from our communities.
 </li>
 <li>
 Employees are encouraged to take time off annually to volunteer through CHANEL Community. CHANEL also matches employee donations to select charitable organizations.
 
 
 
 </li>
 </ul>
 
 Sustainability:
 
 
 
 
 <ul>
 <li>
 CHANEL Mission 1.5&deg; is our climate action plan. It is focused on transforming the business in line with the ambitions of the Paris Agreement on climate change to limit the average global mean temperature increase to 1.5 degrees Celsius above preindustrial levels.
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 Employees are encouraged to contribute to our US Sustainability efforts at the corporate level and within the divisions, through organized taskforces and initiatives.
 
 
 
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 Arts and Culture:
 
 
 
 
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 We are committed to extending our legacy of cultural engagement. Global support includes the CHANEL Culture Fund, which supports a select group of leading art culture institutions across the globe, and the CHANEL Next Prize for the next generation of creative talent. US support currently includes Annual sponsorship of the MoMA film program, Tribeca Film Festival programs and Through Her Lens, Support of the Academy Gold Fellowship for Women and Sponsorship of the BAAND Together Dance Festival at Lincoln Center.
 
 
 
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 Fondation Chanel:
 
 
 
 
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 Since 2011, Fondation CHANEL&rsquo;s mission is for women and girls to be free to shape their own destiny.  Through multi-year partnerships with financial and technical support, Fondation CHANEL is committed to improving the safety and autonomy of women and adolescent girls around the world, impacting over a million women and girls in its first 10 years.
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 For more information, please navigate to the Fondation Chanel website here
 
 
 
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 Career and Leadership Development:
 
 
 
 
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 We have dedicated in-house teams focused on supporting the onboarding of employees, developing leadership skills via custom programs like Imagine Chanel People, Heart of Leadership and group and individual coaching, and blended online and live classes offered on our Bloom platform and by skilled trainers, such as Shape Your Career, to develop career building skills.
 </li>
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 Chanel, Inc. benefits and perks are dependent on eligibility and subject to modification by Chanel at any time.
 
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</div>

Data Scientist

Genpact

<div><div><div>Ready to build the future with AI? 
At Genpact, we don&rsquo;t just keep up with technology&mdash;we set the pace. AI and digital innovation are redefining industries, and we&rsquo;re leading the charge. Genpact&rsquo;s AI Gigafactory, our industry-first accelerator, is an example of how we&rsquo;re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies&rsquo; most complex challenges.</div><div>
If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what&rsquo;s possible, this is your moment.</div><div>
Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions &ndash; we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook. 
 
Inviting applications for the role of Consultant - Artificial Intelligence Developer 
In this role, you will be responsible for creating cutting-edge artificial intelligence solutions that possess a broad understanding of diverse tasks and domains. You will contribute to the development of intelligent systems capable of adapting and learning across a wide range of applications. 
 
Responsibilities 
<ul><li>Build agents/components that reason, plan and act.</li><li>Implement frameworks, develop memory and tool-use capabilities, collaborate with prompt engineers</li><li>Design and implement algorithms that enable the General AI system to acquire new knowledge efficiently and adapt to evolving tasks seamlessly.</li><li>Develop mechanisms for the General AI to perform various tasks, such as natural language understanding, image recognition, and decision-making, ensuring a holistic and versatile skill set.</li><li>Implement continual learning strategies that allow the General AI to adapt and improve its performance over time, learning from both labelled and unlabelled data.</li><li>Collaborate with specialists from different domains to integrate domain-specific knowledge and ensure the General AI's applicability in diverse real-world scenarios.</li><li>Incorporate ethical considerations into the design and development of the General AI, addressing issues related to bias, fairness, and transparency in AI decision-making processes.</li><li>Optimize the General AI system for scalability, ensuring efficient performance across different hardware and deployment environments.</li><li>Engage in interdisciplinary research, staying updated on advancements in AI, cognitive science, and related fields, and applying relevant findings to enhance the capabilities of General AI.</li><li>Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress.</li><li>Verifying data quality, and/or ensuring it via data cleaning</li><li>Defining validation strategies &amp; data augmentation pipelines</li><li>Designing, developing, and researching Machine Learning systems, models, and schemes</li><li>Good working knowledge on deep learning and advanced NLP techniques</li><li>Analyzing the use cases of ML algorithms and ranking them by their success probability</li><li>Should be excellent with Rasa Framework or any other chatbot interface.</li><li>Performing statistical analysis and using results to improve models.</li><li>Training and retraining ML systems and models in real-world situations</li><li>Visualizing data for deeper insights</li><li>Hands-On with Service / Incident Management tools: JIRA / ServiceNow</li><li>Knowledge and experience with Software Version Control systems: GIT, SVN etc.</li></ul></div><div>
Qualification 
(Minimum Qualification) 
<ul><li>BE/B Tech/MCA</li><li>Excellent written and verbal communication skills</li><li>Basic understanding of Investment Management/financial services domain knowledge</li></ul></div><div>
Preferred Qualifications/Skill 
<ul><li>Create comprehensive documentation of algorithms, models, and methodologies, and actively contribute to knowledge transfer within the team to foster a collaborative and learning-oriented environment.</li><li>Demonstrated expertise in artificial intelligence, machine learning, and deep learning.</li><li>Strong programming skills, preferably in Python, and experience with popular AI frameworks (e.g., TensorFlow, PyTorch)</li><li>Experience with reinforcement learning and transfer learning in the context of General AI.</li><li>Knowledge of cognitive science principles and their application to AI development Skill Set</li><li>Machine learning</li><li>NLP and Advanced NLP</li><li>Public</li><li>Deep Learning (CNN,ANN,RNN)</li><li>Rasa</li><li>Pandas, sql</li><li>Python</li><li>Django, Flask</li><li>Tensorflow</li><li>Keras</li><li>Chatbot Development</li><li>Agile</li><li>AWS</li><li>GIT</li></ul></div><div>
Why join Genpact? 
<ul><li>Lead AI-first transformation &ndash; Build and scale AI solutions that redefine industries</li><li>Make an impact &ndash; Drive change for global enterprises and solve business challenges that matter</li><li>Accelerate your career&mdash;Gain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills</li><li>Grow with the best &ndash; Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace</li><li>Committed to ethical AI &ndash; Work in an environment where governance, transparency, and security are at the core of everything we build</li><li>Thrive in a values-driven culture &ndash; Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress</li></ul>
Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up. 
Let&rsquo;s build tomorrow together. 
The approximate annual base compensation range for this position is $60000 to $75000. The actual offer, reflecting the total compensation package plus benefits, will be determined by a number of factors which include but are not limited to the applicant&rsquo;s experience, knowledge, skills, and abilities; geographic location; and internal equity 
<ul><li>Work-from-Anywhere Roles &ndash; &ldquo;Los Angeles California-based candidates are not eligible for this role&rdquo;</li><li>Location-based Roles (e.g., Richardson roles &ndash; metro area can be adjusted by role location) &ndash; &ldquo;Los Angeles, California based candidates are not eligible for this role. &lt;Dallas Metro&gt; area candidates are eligible for this role only.&rdquo;</li></ul></div><div> 
Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. 
Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.</div></div> 
JobConsultant
Primary LocationUSA-New York
ScheduleFull-time
Education LevelBachelor's / Graduation / Equivalent
Job PostingApr 13, 2026, 9:02:35 AM
Unposting DateOngoing
Master Skills ListConsulting
Job CategoryFull Time</div>

Consultant - Artificial Intelligence Developer

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
The Off-Search team within Sponsored Products and Brands (SPB) is focused on building delightful ad experiences across various surfaces beyond Search on Amazon&mdash;such as product detail pages, the homepage, and store-in-store pages&mdash;to drive monetization. Our vision is to deliver highly personalized, context-aware advertising that adapts to individual shopper preferences, scales across diverse page types, remains relevant to seasonal and event-driven moments, and integrates seamlessly with organic recommendations such as new arrivals, basket-building content, and fast-delivery options. To execute this vision, we work in close partnership with Stores stakeholders to lead the expansion and growth of SPB across Amazon-owned and -operated pages beyond Search. We operate full stack&mdash;from backend ads-retail edge services, ads retrieval, and ad auctions to shopper-facing experiences&mdash;all designed to deliver meaningful value. 
 
Curious about our advertising solutions? Discover more about Sponsored Products and Sponsored Brands to see how we&rsquo;re helping businesses grow on Amazon.com and beyond! 
 
Key job responsibilities 
This role will be critical in redesigning how ads contribute to a personalized, relevant, and inspirational shopping experience, with the customer value proposition at the forefront. Key responsibilities include, but are not limited to: 
 
<ul><li>Design, develop, and operate large-scale distributed systems for Sponsored Products and Brands advertising.</li><li>Build and optimize data pipelines and services to improve ad retrieval, allocation, and recommendations.</li><li>Apply Generative AI (GenAI) and Large Language Models (LLMs) to deliver more relevant, personalized ad and shopping experiences.</li><li>Collaborate with applied scientists, product managers, and other engineers to define and deliver customer-focused solutions.</li><li>Write high-quality, maintainable code and participate in design and code reviews.</li><li>Drive operational excellence through monitoring, automation, and continuous improvement.</li></ul> 
A day in the life 
As a Software Development Engineer, you will help build hyper-scale online systems, offline data pipelines, and machine learning infrastructure&mdash;leveraging Generative AI (GenAI) and Large Language Models (LLMs) to transform advertising and shopping experiences. You will have the opportunity to transform core areas such as ad retrieval, ad allocation, whole-page relevance, and differentiated recommendations by designing and delivering high-quality, architecturally sound systems aligned with business needs. With the support of GenAI, you will design globally scalable solutions that evolve in the right long-term direction while delivering iterative value to customers. This is a rare opportunity to redefine how ads are retrieved, allocated, and experienced&mdash;elevating them into personalized, contextually aware, and inspiring parts of the customer journey. If you are passionate about applying frontier AI to solve real-world problems at massive scale and impact, this is your chance to define the next chapter of advertising engineering. 
 
About the team 
The Sponsored Products and Brands (SPB) team at Amazon Ads is re-imagining the advertising landscape through advanced generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising.</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>Knowledge of Python and/or C++ programming</li><li>Experience leading the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems</li><li>Bachelor's degree in computer science or equivalent</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li><li>Master's degree in computer science or equivalent</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, NY, New York - 184,900.00 - 250,200.00 USD annually 
USA, WA, SEATTLE - 168,100.00 - 227,400.00 USD annually</div>

Sr. Software Development Engineer, Sponsored Products and Brands

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