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software development engineer

ai engineer

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></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!<br>
<br>
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.<br>
<br>
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.<br>
<br>
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.<br>
<br>
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.<br>
<br>
Key job responsibilities<br>
<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><br>
Why you will love this opportunity<br>
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.<br>
<br>
About the team<br>
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"><b>
BASIC QUALIFICATIONS</b></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.<br>
- - Hands on experiences with AI Agent development in real production.<h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></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.<br>
- - Ideally familiar with Amazon systems and deployment methods for production.<br>
<br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
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.<p><br>
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.</p><br>
USA, WA, SEATTLE - 143,700.00 - 194,400.00 USD annually</div><p></p>

AI Engineer - GenAI, Creative-X

Boston Consulting Group

<div><p><b>Locations</b>: Boston | New York | Brooklyn | Chicago | Miami | Dallas | San Francisco | Seattle | Manhattan Beach | Pittsburgh | Los Angeles</p><p>
Who We Are</p><p>
Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact.<br>
<br>
To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures&mdash;and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive.</p><p><b><br>
We Are BCG X</b></p><p></p><p><br>
We&rsquo;re a diverse team of more than 3,000 tech experts united by a drive to make a difference. Working across industries and disciplines, we combine our experience and expertise to tackle the biggest challenges faced by society today. We go beyond what was once thought possible, creating new and innovative solutions to the world&rsquo;s most complex problems. Leveraging BCG&rsquo;s global network and partnerships with leading organizations, BCG X provides a stable ecosystem for talent to build game-changing businesses, products, and services from the ground up, all while growing their career. Together, we strive to create solutions that will positively impact the lives of millions.</p><p><br>
What You'll Do</p><div><p><b><i>
This job listing is for those who have previously earned a PhD or are in the process of earning and are looking to start full-time before November 2026.</i></b><br>
<br>
Our BCG X teams own the full analytics value-chain end to end: framing new business challenges, designing innovative algorithms, implementing, and deploying scalable solutions, and enabling colleagues and clients to fully embrace AI. Our product offerings span from fully custom-builds to industry specific leading edge AI software solutions.</p></div><p></p><div><p><br>
As a Senior Forward Deployed AI Engineer, you&rsquo;ll be part of our rapidly growing engineering team and help to build the next generation of AI solutions. You&rsquo;ll have the chance to partner with clients in a variety of BCG regions and industries, and on key topics like climate change, enabling them to design, build, and deploy new and innovative solutions. Additional responsibilities will include developing and delivering thought leadership in scientific communities and papers as well as leading conferences on behalf of BCG X.</p></div><p></p><div><p><br>
We are looking for talented individuals with a passion for software development, large-scale data analytics and transforming organizations into AI led innovative companies. Successful candidates possess the following:</p></div><div><ul><li><p>
Apply software development practices and standards to develop robust and maintainable software</p></li><li><p>
Actively involved in every part of the software development life cycle</p></li><li><p>
Experienced at guiding non-technical teams and consultants in and best practices for robust software development</p></li><li><p>
Optimize and enhance computational efficiency of algorithms and software design</p></li><li><p>
Motivated by a fast-paced, service-oriented environment and interacting directly with clients on new features for future product releases</p></li><li><p>
Enjoy collaborating in teams to share software design and solution ideas</p></li><li><p>
A natural problem-solver and intellectually curious across a breadth of industries and topics</p></li></ul></div><p><br>
What You'll Bring</p><div><div><div><div><div><div><div><div><div><div><div><div><div>
This job listing is for those who have previously earned a PhD or are in the process of earning and are looking to start full-time before November 2026.<br>
<br>
Please note: any degree programs (including part-time) must be completed before starting at BCG.</div></div></div></div></div></div></div></div></div></div></div></div><p><b><br>
TECHNOLOGIES:</b></p></div><p></p><div><p><br>
Programming Languages: Python</p></div><p><br>
Additional info</p><div><div><p>
You must live within a reasonable commuting distance of your home office. As a member of that office, it is expected you will be in the office as directed. This role puts you on an accelerated path of personal and professional growth and development and so, at times, requires extended working hours. Our work often requires travel to client sites.</p></div><div><br>
</div><div>
FOR U.S. APPLICANTS: BCG is an Equal Employment Opportunity employer and is committed to a policy of administering all employment decisions and actions without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.</div></div><p></p><div><p><br>
The first year base compensation for this role is:<br>
Senior Forward Deployed AI Engineer: $190,000 USD</p></div><p></p><div><div><p><br>
At BCG, we are committed to offering a comprehensive benefit program that includes everything our employees and their families need to be well and live life to the fullest. We pay the full cost of medical, dental, and vision coverage for employees &ndash; and their eligible family members. * That&rsquo;s zero dollars in premiums taken from employee paychecks. All our plans provide best in class coverage:</p></div><div><ul><li><p>
Zero-dollar ($0) health insurance premiums for BCG employees, spouses, and children</p></li></ul></div><div><ul><li><p>
Low $10 (USD) copays for trips to the doctor, urgent care visits and prescriptions for generic drugs</p></li></ul></div><div><ul><li><p>
Dental coverage, including up to $5,000 in orthodontia benefits</p></li></ul></div><div><ul><li><p>
Vision insurance with coverage for both glasses and contact lenses annually</p></li></ul></div><div><ul><li><p>
Reimbursement for gym memberships and other fitness activities</p></li></ul></div><div><ul><li><p>
Fully vested Profit-Sharing Retirement Fund contributions made annually, whether you contribute or not, plus the option for employees to make personal contributions to a 401(k) plan</p></li></ul></div><div><ul><li><p>
Paid Parental Leave and other family benefits such as elective egg freezing, surrogacy, and adoption reimbursement</p></li></ul></div><div><ul><li><p>
Generous paid time off including 12 holidays per year, an annual office closure between Christmas and New Years, and 15 vacation days per year (earned at 1.25 days per month)</p></li></ul></div><div><ul><li><p>
Paid sick time on an as needed basis</p></li></ul></div><p></p><div><ul><li><br>
Employees, spouses, and children are covered at no cost. Employees share in the cost of domestic partner coverage.</li></ul></div><p></p><p><br>
#BCGXjob</p></div><p><br>
Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws.</p></div>

Senior Forward Deployed AI Engineer, United States - BCG X

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through 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.<br>
<br>
We are looking for a software dev engineer for the Conversational Ad Experiences (CAX) team within Sponsored Products and Brands (SPB). SPB helps merchants, retail vendors, and brand owners grow incremental sales of their products on Amazon through native product advertising. The CAX team focuses on sponsored conversational shopping experiences powered by large language models (LLMs). The team is working on multiple 'industry first' projects which are ambiguous and challenging, but they offer the opportunity to have a significant impact on both our shoppers and business. As an engineer on the team, you will drive major product and engineering initiatives, build large-scale, low-latency distributed systems, build ML infrastructure and data processing pipelines. You will partner with our science team to implement LLM models in production, and also contribute to LLMOps. You will be responsible for designing, building, and operating key pieces of customer facing functionality impacting hundreds of millions of Amazon shoppers worldwide.<br>
<br>
Key job responsibilities<br>
Key job responsibilities<br>
<ul><li>Design and develop net new conversational ad experiences on the Search page</li><li>Collaborate with cross-functional teams to integrate AI-driven solutions across our advertising ecosystem</li><li>Pioneer new approaches to conversational AI and natural language interactions in advertising</li><li>Shape the future of how businesses connect with customers through advertising</li><li>Create scalable systems to deliver explicitly personalized ad experiences</li></ul>
What we're looking for:<br>
<ul><li>Passionate about Generative AI, Large Language Models, and their real-world applications</li><li>Strong software engineering skills</li><li>Creative problem-solver who thrives in ambiguity and loves tackling complex challenges</li><li>Track record of delivering innovative solutions that drive business impact</li><li>Enthusiasm for staying current with the rapidly evolving AI landscape</li></ul></div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></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></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></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>Bachelor's degree in computer science or equivalent</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
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.<p><br>
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.</p><br>
USA, WA, SEATTLE - 168,100.00 - 227,400.00 USD annually</div><p></p>

Software Dev Engineer III, Conversational Ad Experiences

Amazon Web Services

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Help shape new Generative AIUX products for AWS customers
<br>
<br>
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.
<br>
<br>
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.
<br>
<br>
The ideal candidate will bring expertise in generative and agentic AI and data analysis to create intelligent and transformative AI applications.
<br>
<br>
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.
<br>
<br>
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.<br>
<br>
Key job responsibilities<br>
<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"><b>BASIC QUALIFICATIONS</b></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"><b>
PREFERRED QUALIFICATIONS</b></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><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
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.<br>
<br>
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.<p><br>
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.</p><br>
USA, CA, East Palo Alto - 193,300.00 - 261,500.00 USD annually<br>
USA, CA, Santa Clara - 193,300.00 - 261,500.00 USD annually<br>
USA, WA, Seattle - 168,100.00 - 227,400.00 USD annually</div><p></p>

Senior Machine Learning Engineer, GenAIUX

BuyWander

<div>Description:
<h1 class="jobSectionHeader"><b>Senior Software Engineer (Search &amp; Personalization)</b></h1><p><b>
Location:</b> Seattle, WA <b>Type:</b> Full-Time | Engineering</p><h3 class="jobSectionHeader"><b>
ABOUT BUYWANDER</b></h3><p>
BuyWander is rebuilding the $850B retail returns industry. We take chaotic truckloads of returned goods and transform them into a fast, fun, treasure-hunt shopping experience powered by AI, real-time auctions, and local pickup.</p><p>
We&rsquo;re not just building a marketplace. We&rsquo;re building a daily habit.</p><h3 class="jobSectionHeader"><b><br>
THE ROLE</b></h3><p>
We are looking for a highly product-minded <b>Senior Software Engineer</b> to own our Search and Personalization experience.</p><p>
With the rapid advancement of AI coding agents (like Claude Code and Cursor), the way we build across the stack has completely changed. We aren't hiring you to spend your days writing boilerplate UI components. We are hiring you for your architectural brain and product sense.</p><p>
Your mandate is to build the discovery engine that keeps our users addicted to the &quot;treasure hunt.&quot; You will partner with our Data &amp; AI team to take raw recommendation models and turn them into lightning-fast, highly personalized consumer experiences.</p><h3 class="jobSectionHeader"><b><br>
WHAT YOU&rsquo;LL OWN</b></h3><p><b>
1. The Discovery &amp; Personalization Engine</b></p><ul><li>
Design and implement the architecture for our &quot;For You&quot; feeds.</li><li>
Blend rules-based logic with ML-driven recommendations to ensure the right weird, unique, or high-value item hits the exact right bidder at the right time.</li></ul><p><b>
2. Search Optimization</b></p><ul><li>
Own our core search infrastructure (Elastic Cloud / Pinecone).</li><li>
Implement hybrid search (keyword + vector), tune ranking weights, and build typo-tolerance and synonym matching so our buyers always find what they are looking for.</li></ul><p><b>
3. Measuring Success &amp; Experimentation</b></p><ul><li>
You don't just ship features; you measure them. You will design the A/B testing framework for our search ranking changes.</li><li>
Track click-through rates (CTR), bid velocity, and conversion metrics to definitively prove your search tweaks are making the company money.</li></ul><p><b>
4. AI-Assisted Product Development</b></p><ul><li>
Use modern AI coding tools to rapidly wire your backend search APIs into our Vue/Nuxt frontend.</li><li>
Focus your deep thinking on system design, database queries, and user flows, while leveraging AI agents to accelerate UI execution.</li></ul><h3 class="jobSectionHeader"><b>
WHY THIS ROLE IS DIFFERENT</b></h3><p>
At most companies, you are handed a Jira ticket and told exactly what to build. Here, you are handed a business problem: <i>&quot;Our bidders are having trouble finding niche electronics in our chaotic inventory&mdash;fix it.&quot;</i></p><p>
You will have the autonomy to design the search logic, test the algorithms, and ship the product experience that solves that problem. If you love building systems that directly drive user addiction and marketplace revenue, let's talk.</p><p><b>
Benefits</b></p><ul><li>
Competitive Salary and Performance-based Bonuses
</li><li>Meaningful equity in a company attacking a massive market, for a brand that can become nationally recognized</li><li>
Health, Vision &amp; Dental Insurance
</li><li>Unlimited PTO
</li><li>Annual Company Offsites
</li><li>401K</li></ul>
Requirements:<h3 class="jobSectionHeader"><br>
</h3><h3 class="jobSectionHeader"><b>
WHAT YOU BRING</b></h3><ul><li><b>
The Tech Stack:</b> Deep backend proficiency (we use C#/Python/FastAPI) and a solid understanding of modern frontend frameworks (we use Vue/Nuxt/Vercel).</li><li><b>
Search Expertise:</b> Proven experience tuning search engines (Elasticsearch, Algolia, or OpenSearch) and familiarity with modern Vector databases (Pinecone).</li><li><b>
Product Sense:</b> You think in terms of user psychology and metrics. You understand concepts like collaborative filtering, session-based recommendations, and ranking algorithms.</li><li><b>
The Modern Workflow:</b> You are highly proficient in using AI developer tools (Copilot, Cursor, Claude) to multiply your output.</li></ul><p>
BuyWander is an Equal Opportunity Employer. We make employment decisions based on qualifications, skills, merit, and business needs. We believe a range of skills, perspectives, and experiences strengthens our team and supports better outcomes for our employees and customers.</p></div>

Senior Software Engineer (Search & Personalization)

Capgemini

<div>
 <p>
  <strong>
   Data Scientist
  </strong>
 </p>
 <p>
  Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you&rsquo;d like, where you&rsquo;ll be supported and inspired by a collaborative community of colleagues around the world, and where you&rsquo;ll be able to reimagine what&rsquo;s possible. Join us and help the world&rsquo;s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
 </p>
 <p>
  <strong>
   Job Description
  </strong>
 </p>
 <p>
  As a Data Scientist , you will lead the development and implementation of advanced data engineering solutions to support the deployment and optimization of Generative AI models. Your role will involve leveraging your extensive experience to design robust, scalable, and innovative data architectures that align with the unique requirements of General Artificial Intelligence (GenAI) applications.
 </p>
 <p>
 </p>
 <p>
  <strong>
   Key Responsibilities
  </strong>
 </p>
 <ul>
  <li>
   The Machine Learning Engineer will be responsible for architectural design and planning, advanced data pipelines, model integration and optimization, scalability, performance and research and innovation supporting production generative AI systems.
  </li>
  <li>
   Production level ML workloads for customers using Databricks platform, including end-to-end ML pipelines, training/inference optimization, integration with cloud-native services and MLOps
  </li>
  <li>
   Build and maintain data engineering solutions on cloud platforms using hyperscaler services.
  </li>
  <li>
   Develop production-grade cloud (AWS/Azure/GCP) infrastructure that supports the deployment of ML applications, including drift monitoring
  </li>
  <li>
   Design, develop, and maintain data pipelines to efficiently collect, process, and load data from various sources into data storage systems (e.g., data warehouses, data lakes).
  </li>
  <li>
   Understanding indexing and vectorization to use with Generative AI prompt engineering.
  </li>
  <li>
   Strong understanding of fundamental data science concepts in NLP, including selection and understanding of embedding models.
  </li>
  <li>
   Use hyperscaler technologies to support data needs for expansion of Machine Learning/Data Science capabilities including generative AI.
  </li>
  <li>
   Design, develop, and implement scalable data pipelines and ETL/ELT processes using Python, PySpark and API integrations.
  </li>
 </ul>
 <p>
  <strong>
   Required Skill and Experience
  </strong>
 </p>
 <p>
 </p>
 <ul>
  <li>
   Bachelor's degree in computer science, data engineering, or a related field with 3+ year's experience (Master's preferred).
  </li>
  <li>
   Proven experience in data engineering, MLOps, ETL, and database management, QL and data manipulation languages.
  </li>
  <li>
   Azure, Python, Java, or Scala.
  </li>
  <li>
   data warehousing platforms (e.g., Databricks, Amazon Redshift, Snowflake) and big data technologies (e.g., Hadoop, Spark).
  </li>
  <li>
   highly scalable Data stores, Data Lake, Data Warehouse, Lakehouse, and unstructured datasets
  </li>
 </ul>
</div>


Data Scientist

Apple

<p>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?<br>
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Together, you will orchestrate groundbreaking research initiatives and develop transformative products designed to build a significant impact for billions of users worldwide!<br>
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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.<br>
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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.<br>
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<b>Description</b><br>
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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.<br>
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The solutions you develop will significantly impact Apple Intelligence, future Apple products and the broader ML development ecosystem.<br>
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You will work with a multidisciplinary team to actively participate in Apple Intelligence&rsquo;s data-model co-design and co-develop practice.<br>
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Your responsibilities will extend to the design and development of a comprehensive data generation and curation framework for Apple Intelligence foundation models at Apple.<br>
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You will also be responsible to build robust model evaluation pipelines, integral to the continuous improvement and assessment of Apple Intelligence foundation models.<br>
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Furthermore, you will have the opportunity to showcase your groundbreaking research work by publishing and presenting at premier academic venues.<br>
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&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.<br>
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Innovate and experiment with new approaches for synthetic data generation to improve the diversity, realism, and representativeness of datasets.<br>
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Collaborate with multi-functional teams to understand data requirements and ensure that synthetic datasets are optimized for training foundation models.<br>
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Crafting and implementing semi-supervised, self-supervised representation learning techniques for growing the power of both limited labeled data and large-scale unlabeled data.<br>
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Develop pipelines and tools to automate synthetic data generation for large-scale AI experiments.<br>
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Stay updated with the latest research and industry trends in synthetic data generation, foundational model training, and large-scale data engineering.<br>
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<b>Preferred Qualifications</b><br>
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3+ years of experience with developing and evaluating ML applications, and demonstrated experience in understanding and improving data quality.<br>
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Strong publication record in relevant conferences (e.g. CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, etc).<br>
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Strong problem-solving and communication skills.<br>
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Experience of multimodal large language model or image/video generation model training is a plus.<br>
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Ph.D/MS degree in Machine Learning, Natural Language Processing, Computer Vision, Data Science, Statistics or related areas.<br>
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<b>Minimum Qualifications</b><br>
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Demonstrated expertise in computer vision, natural language processing, and machine learning with a passion for data-centric machine learning.<br>
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Deep understanding in multi-modal foundation models.<br>
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Staying on top of emerging trends in generative AI and multi-modal LLM.<br>
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Strong programming skills and hands-on experience using the following languages or deep learning frameworks: Python, PyTorch, or Jax.<br>
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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 .<br>
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<b>Pay &amp; Benefits</b><br>
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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.<br>
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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.<br>
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Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.</p>

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