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software engineer ml

Twitch

<div>
 
 About Us
 
 
 
 Twitch is the world&rsquo;s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day.
 
 
 We&rsquo;re about community, inside and out. You&rsquo;ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We&rsquo;re on a quest to empower live communities, so if this sounds good to you, see what we&rsquo;re up to on LinkedIn and X, and discover the projects we&rsquo;re solving on our Blog. Be sure to explore our Interviewing Guide to learn how to ace our interview process.
 
 
 
 About The Role
 
 
 
 Join the Monetization ML team within Twitch's Commerce organization, where we're building the intelligent systems that power personalized experiences for creators and viewers across all monetization products. We are the team behind the ML infrastructure for ads, commerce, and money products &ndash; systems that optimize revenue and detect fraud while serving millions of users in real-time.
 
 
 From production model infrastructure to API integrations across services, we're constantly pushing the boundaries of what's possible in live streaming monetization.
 
 
 Our team are based in Seattle, WA and New York City, NY
 
 
 
 You Will:
 
 
 
 
 <ul>
 <li>
 Build robust ML infrastructure and platforms that power personalized monetization experiences across Twitch's ecosystem
 </li>
 <li>
 Architect and develop APIs that seamlessly integrate ML models with existing monetization services, enabling real-time and batch predictions at scale
 </li>
 <li>
 Collaborate with Applied Scientists to productionize ML models, transforming research into production-ready systems that serve millions of users
 </li>
 <li>
 Partner with product engineering teams across monetization to deliver ML-powered features that enhance creator and viewer experiences
 </li>
 <li>
 Design and implement comprehensive monitoring and operational excellence systems for ML model performance, ensuring reliability and quality at scale
 </li>
 <li>
 Develop data ingestion and processing pipelines that support both real-time inference and batch training workflows
 </li>
 <li>
 Explore and build infrastructure for emerging use cases including LLM applications in monetization contexts
 
 
 
 </li>
 </ul>
 
 You Have:
 
 
 
 
 <ul>
 <li>
 1+ years of professional software development experience with a focus on building scalable systems
 </li>
 <li>
 Experience building production ML infrastructure, including model deployment, serving, and monitoring systems
 </li>
 <li>
 Proficiency in modern programming languages (Python, Java, Go) and distributed system technologies
 </li>
 <li>
 A track record of building APIs and integrating systems that handle high-throughput, low-latency requirements
 </li>
 <li>
 Understanding of data processing pipelines and experience with streaming technologies (Flink, Kafka, or similar)
 </li>
 <li>
 Sharp problem-solving skills with a focus on algorithms, data structures, and distributed system design
 </li>
 <li>
 Bachelor's degree in Computer Science, Engineering, or equivalent real-world experience
 
 
 
 </li>
 </ul>
 
 Bonus Points
 
 
 
 
 <ul>
 <li>
 Familiarity with Twitch's tech stack: Golang, Python, Apache Flink, Cond
 </li>
 <li>
 Experience with workflow orchestration tools like Airflow or Conductor for managing ML pipelines
 </li>
 <li>
 Experience with AWS technologies like ECS, DynamoDB, Lambda, SQS, and Step Functions
 </li>
 <li>
 Knowledge of real-time ML serving systems and model deployment at scale
 </li>
 <li>
 Experience with fraud detection, recommendation systems, or monetization optimization
 </li>
 <li>
 A passion for gaming, streaming, or the Twitch platform
 
 
 
 </li>
 </ul>
 
 Perks
 
 
 
 
 <ul>
 <li>
 Medical, Dental, Vision &amp; Disability Insurance
 </li>
 <li>
 401(k)
 </li>
 <li>
 Maternity &amp; Parental Leave
 </li>
 <li>
 Flexible PTO
 </li>
 <li>
 Amazon Employee Discount
 
 
 
 </li>
 </ul>
 Job ID: TW8973
 
 
 
 Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from our lowest geographic market up to our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. This position will remain open until filled. For more information, please visit https://www.twitch.tv/jobs/en/#learn-more. Applicants should apply via our internal or external career site.
 
 
 
 US Pay Per Year
 
 
 $99,500&mdash;$200,000 USD
 
 
 
 Twitch is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
 
 
 
 
 Twitch values your privacy. Please consult our Candidate Privacy Notice, for information about how we collect, use, and disclose personal information of our candidates.
 
</div>

Software Engineer, ML

Norm AI

<div>About Norm Ai
Norm Ai, the leading Legal &amp; Compliance AI company, has a client base with a combined $30 trillion in assets under management. By turning legal code into AI code, Norm enables enterprises to move faster and more comprehensively in their legal and compliance processes with reliability and trust.
Norm&rsquo;s platform combines frontier AI, proprietary legal reasoning systems, and embedded legal and regulatory expertise.
We have recently raised more than $140 million, backed by Blackstone, Bain Capital, Vanguard, Citi, New York Life, TIAA, Coatue, Craft Ventures, Henry R. Kravis (KKR co-founder), and Marc Benioff (Salesforce CEO).
Norm Ai pioneered Legal Engineering, the process that empowers lawyers to build and supervise domain-specific AI agents with Norm&rsquo;s proprietary suite of no-code software tools. We hired dozens of lawyers from premier U.S. law firms and trained them as Legal Engineers, who specialize in Large Language Model powered legal workflows.
Norm Ai technology is deployed inside many of the largest and most consequential institutions in the world. The company is growing quickly and hiring across all teams.
About Norm Law
Norm Law is the first AI-native full-service law firm for global institutional clients like Blackstone (see recent coverage of our Blackstone partnership. Legal Engineering, a discipline pioneered by Norm Ai, where lawyers develop legal AI agents, powers Norm Law to deliver faster, more precise, and more consistent legal services. With purpose-built AI agents completing first passes of work, Norm lawyers supervise, review, and focus on what matters most: strategic judgment and expert advice.
Norm Law and Norm Ai, together, are building Legal AGI.
This Role
As a Founding AI Engineer, you will work side-by-side with partners and associates. You&rsquo;ll build fast prototypes, test them directly in live workflows, and push successful systems into our platform. The role blends full stack engineering, AI, and data science. It requires fluency in production codebases, speed in iteration, and depth in applying LLMs to solve real problems.
This is a hands-on role at the intersection of AI, reasoning, and high-stakes decision-making. You&rsquo;ll work embedded with domain experts (e.g., lawyers, analysts, compliance officers) to observe workflows, identify inefficiencies, and prototype AI systems that transform how expert reasoning is performed.
Skills &amp; Experience<ul><li>
4+ years of experience as a software engineer, ML engineer, or data scientist</li><li>
Strong programming skills in Python, proficiency in Docker and data storage technologies such as Postgres and Redis</li><li>
Willingness to work with frontend technologies (Typescript, React, etc.) to bridge the gap between research ideas and the productization of new initiatives</li><li>
Experience in AI/ML infrastructure and tooling</li><li>
Interest in becoming a legal and compliance domain expert and working closely with professionals in the field</li><li>
Strong reading, writing, and quantitative skills, as well as a data-driven approach to problem solving</li></ul><h3 class="jobSectionHeader">
Skills &amp; Experience - Pluses</h3><ul><li>
Previously built one off analytical systems in trading, research, or other data-heavy fields.</li><li>
Interest in working directly with non-technical experts to translate their logic into code.</li><li>
Familiarity with and an eagerness to apply the latest AI research</li><li>
Experience applying traditional ML systems and processes in the context of state-of-the-art LLMs</li><li>
Experience deriving insights from PDFs and other unstructured or semi-structured data types</li><li>
Experience with context engineering and memory in the context of AI agents</li><li>
Experience modeling uncertainty in ML systems</li></ul>
Comp &amp; Benefits
$220,000-$285,000 base + employee equity (level dependent)
The range displayed in this job posting reflects the minimum and maximum target for new hire salary for this position. Within the range, individual pay is determined by various factors, including job-related skills (as uncovered during the interview process), experience, and relevant education or training. Please note that the compensation details listed here reflect the base salary only, and do not include equity or benefits. We offer a competitive salary along with equity compensation. Our comprehensive benefits package includes a 401(k) plan with an employer match. Employees enjoy top-tier insurance coverage, encompassing health, dental, hospital, accident, and vision plans.
We embrace a flexible hybrid model, typically in-office 4-5 days per week. For candidates needing to relocate to NYC, we provide relocation reimbursement. You'll thrive in our fast-paced learning environment where professional growth is constant.
If you&rsquo;re interested in the role but aren&rsquo;t sure whether you&rsquo;re a good fit, we&rsquo;d still like to hear from you.
To learn more about Norm Ai, visit our website.</div>

Founding AI Engineer - Norm Law

Thomson Reuters

<div><div><div>Do you love creating innovative solutions for customers?
 
 
We are seeking a passionate Lead Research Engineer who will bring expertise in AI and Deep Learning and is interested in building data-driven capabilities that drive transformation. As a member of Thomson Reuters Labs you will have a direct impact on our company by helping to create new and innovative capabilities that will delight our customers.
 
 
What does Thomson Reuters Labs do?
 
 
We experiment, we build, we deliver. We support the organization and our customers through applied research and the development of new products and technologies. TR Labs innovates collaboratively across our core segments in Legal, Tax &amp; Accounting, Government, and Reuters News .
 
 
As a Lead Research Engineer at Thomson Reuters Labs, you will be part of a global interdisciplinary team of experts. We hire engineers and specialists across a variety of AI research areas to build the foundational intelligence layer that powers every major capability across our legal AI platform&mdash;from search and information extraction to agentic reasoning in products like Westlaw, PracticalLaw , and CoCounsel . The science and engineering of AI are rapidly evolving. We are looking for an adaptable learner who can think in code and likes to learn and develop new skills as they are needed; someone comfortable with jumping into new problem spaces; who enjoys directing and supporting the efforts of others.
 
 
Is this you? Come join us!
 
 
About the Role :
 
In this opportunity as a Lead Research Engineer , you will:
</div><div><ul><li>Lead and Deliver Large-Scale AI/ML Solutions : Lead significant AI/ML projects from concept to deployment, designing and developing end-to-end solutions including large-scale data processing pipelines, distributed search/retrieval systems, and LLM-powered applications. Deliver high-quality software features that meet release commitments using modern development practices and agile methodologies.
</li></ul></div><div><ul><li>Drive Technical Innovation and Excellence : Demonstrate creativity and ingenuity in solving complex problems with little precedent. Evaluate and advise on emerging technologies to drive business growth. Contribute innovative ideas, propose new approaches , and establish team standards and best practices for scalable system development in large online delivery environments.
</li></ul></div><div><ul><li>Provide Strategic Direction and Ownership : Take operational responsibility by setting and meeting measurable goals for the team. Determine work priorities based on general direction from senior leadership. Break down business requirements into functional specifications and be accountable for end-to-end deliveries.
</li></ul></div><div><ul><li>Influence and Mentor Across Teams : Influence and collaborate effectively with cross-functional and remote teams through dynamic communication. Mentor less experienced colleagues and share knowledge as a thought leader in company-wide forums. Value diverse ideas and partner effectively in a team-oriented environment.
</li></ul></div><div><ul><li>Execute with Quality and Agility : Write high-quality code for complex software programs and build high-performing, scalable systems. Actively lead agile ceremonies and SDLC processes with a strong sense of urgency. Deliver timely solutions in a fast-paced, dynamic environment while maintaining exceptional quality standards. 
</li></ul></div></div><div><div>About You:
</div><div>You are a fit for the position of Lead Research Engineer if your background includes: 
</div><div>Required Skills and Experience:
</div><div><ul><li>A Bachelor &rsquo; s Degree in Computer Science , Related Field, or Equivalent Experience
</li></ul></div><div><ul><li>At least 7 years of software engineering experience.
</li></ul></div><div><ul><li>At least 2 years of building large scale data processing pipelines, distributed search and retrieval systems.
</li></ul></div><div><ul><li>At least 2 years of working on Deep Learning or LLM related product s or solution s .
</li></ul></div><div><ul><li>Demonstrate ability to provide technical leadership and influence without formal authority
</li></ul></div><div><ul><li>Have a deep understanding of Python software development stacks and ecosystems.
</li></ul></div><div><ul><li>Demonstrate ability to write clean, reusable, maintainable and well-tested code
</li></ul></div><div><ul><li>Demonstrate a desire to learn and embrace new and emerging technology
</li></ul></div></div><div><div><ul><li>Ability to collaborate, communicate effectively, and work as part of a multi-disciplinary team.
</li></ul></div><div><ul><li>Keen interest in real-world applications and impact.
</li></ul></div><div><ul><li>Strong experience with cloud computing development (AWS preferred).
</li></ul></div><div><ul><li>Have experience with Agile Methodologies.
</li></ul></div><div><ul><li>Have experience implementing CI/CD, DevOps, and SDLC concepts in the development of an application. 
</li></ul></div><div>Preferred Skills and Experience:
</div><div><ul><li>Have experience integrating Deep Learning and LLM solutions into production-grade software and have an understanding of ModelOps and MLOps principles
</li></ul></div><div><ul><li>Had previous exposure to Natural Language Processing (NLP) problems and have familiarity with key tasks such as Named Entity Recognition (NER), Information Extraction, Information Retrieval, etc.
</li></ul></div><div><ul><li>Can understand and translate between language and methodologies used both in research and engineering fields
</li></ul></div><div><ul><li>Hands-on experience in other programming language/scripting langugage and development stack (Java, Rust, Scala, Typescript, etc.)
</li></ul></div><div><ul><li>Expertise with modern deep learning frameworks for distributed training (Transformers, Accelerate, DeepSpeed , FSDP, PyTorch DDP, TorchTune , LLamaFactory ), optimizing large-scale model training on multi-GPU/multi-node clusters.
</li></ul></div><div><ul><li>Experience identifying and resolving bottlenecks in training and inference pipelines, familiarity with GPU memory management, OOM debugging and compute-communication overlap
</li></ul></div><div><ul><li>Experience optimizing LLM inference for throughput and latency, hands-on with inference frameworks ( vLLM , TensorRT , TensorRT -LLM, DeepSpeed Inference) and knowledge of quantization techniques (INT8, GPTQ, bitsandbytes )
</li></ul></div><div><ul><li>Experience with graph database technologies like Neo4j, Amazon Neptune
</li></ul>#LI-TH1
</div></div>What&rsquo;s in it For You?
<ul><li>Flexibility &amp; Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance.
</li><li>Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow&rsquo;s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future.
</li><li>Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing.
</li><li>Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together.
</li><li>Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives.
</li><li>Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.
</li></ul>In the United States, Thomson Reuters offers a comprehensive benefits package to our employees. Our benefit package includes market competitive health, dental, vision, disability, and life insurance programs, as well as a competitive 401k plan with company match. In addition, Thomson Reuters offers market leading work life benefits with competitive vacation, sick and safe paid time off, paid holidays (including two company mental health days off), parental leave, sabbatical leave. These benefits meet or exceeds the requirements of paid time off in accordance with any applicable state or municipal laws. Finally, Thomson Reuters offers the following additional benefits: optional hospital, accident and sickness insurance paid 100% by the employee; optional life and AD&amp;D insurance paid 100% by the employee; Flexible Spending and Health Savings Accounts; fitness reimbursement; access to Employee Assistance Program; Group Legal Identity Theft Protection benefit paid 100% by employee; access to 529 Plan; commuter benefits; Adoption &amp; Surrogacy Assistance; Tuition Reimbursement; and access to Employee Stock Purchase Plan.
Thomson Reuters complies with local laws that require upfront disclosure of the expected pay range for a position. The base compensation range varies across locations.&amp;#xa;&amp;#xa;For any eligible US locations, unless otherwise noted, the base compensation range for this role is $147,000 - $273,000.&amp;#xa;&amp;#xa;This role may also be eligible for an Annual Bonus based on a combination of enterprise and individual performance.&amp;#xa;Base pay is positioned within the range based on several factors including an individual&rsquo;s knowledge, skills and experience with consideration given to internal equity. Base pay is one part of a comprehensive Total Reward program which also includes flexible and supportive benefits and other wellbeing programs.&amp;#xa;
This job posting will close 01/30/2026.
About Us
Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news.
We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.
As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace.
We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here.
Learn more on how to protect yourself from fraudulent job postings here.
More information about Thomson Reuters can be found on thomsonreuters.com</div>

Lead Research Engineer

Morgan Stanley

<div>Morgan Stanley Services Group, Inc. seeks a Director, Lead Data &amp; Analytics Engineer in New York, New York
Maintain and support services and capabilities of the firm&rsquo;s internal search infrastructure. Onboard and index new data sources, clean existing index, improve relevancy algorithms, and apply AIML models to search application. Create data pipelines and ETL processes to facilitate onboarding client data into firm databases. Upgrade software system capabilities to best serve the business needs of end users. Incorporate industry best practices to improve performance and productivity of the firm&rsquo;s internal search infrastructure. Develop a monitoring mechanism for search infrastructure. Streamline and improve product delivery metrics. Troubleshoot technical issues, perform root cause analysis, and take appropriate action to remediate issues related to discovery, relevancy and data mining.
Salary :
Expected base pay rates for the role will be between $160,000 and $165,000 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs.
Requirements:
Requires a Master's degree in Computer Science, Computer Engineering, or a related field plus three (3) years of experience in the position offered or three (3) years of experience as an AI/ML Engineer, Data Scientist, or related occupation. Two (2) years of experience with: Java.
 
 
One (1) year of experience with: vended or open-source search engines; Javascript; and Python.
 
 
Any amount of experience with: building and training machine learning models; deploying machine learning models in production; AI chatbot development; Semantic search; Lucidworks Fusion connector configurations; indexing strategies for structured and unstructured data; faceted search; typeahead; relevance boosting; DevOPs; KPI&rsquo;s; Agile practices; Enterprise Git; GitHub; Jenkins; continuous integration tools, including Artifactory ro, SonarQube, selenium, and Jmeter; load testing; troubleshooting and production support; Docker; Kubernetes; and Azure.
Qualified Applicants: To apply, visit us at https://morganstanley.eightfold.ai/careers?source=mscom and enter JR025360 in the search field. No calls please. EOE
WHAT YOU CAN EXPECT FROM MORGAN STANLEY:
We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren&rsquo;t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you&rsquo;ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There&rsquo;s also ample opportunity to move about the business for those who show passion and grit in their work.
To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-officesinto your browser.
Morgan Stanley's goal is to build and maintain a workforce that is diverse in experience and background but uniform in reflecting our standards of integrity and excellence. Consequently, our recruiting efforts reflect our desire to attract and retain the best and brightest from all talent pools. We want to be the first choice for prospective employees.
It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, transgender, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law.
Morgan Stanley is an equal opportunity employer committed to diversifying its workforce (M/F/Disability/Vet).</div>

Director, Lead Data & Analytics Engineer

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
We are seeking an experienced Senior Product Manager-Technical who will drive the future of AI-powered creative generation that enables advertisers to produce professional-quality image, video and audio at speeds never before thought possible. You'll be responsible for leading product strategy and execution for breakthrough generative AI solutions that transform how advertisers create their creative assets.
 
 
The right candidate will have a strong track record of working with both user experience and science teams, and a deep curiosity about the rapidly evolving generative AI landscape. You'll collaborate closely with machine learning engineers, applied scientists, software engineers, and UX designers to build products that fundamentally change the creative development process for advertisers of all sizes. 
 
Key job responsibilities 
You will: 
<ul><li>Think big to define and drive end-to-end product strategy from conception through launch, working backwards from advertiser needs to build roadmaps and user experiences for image, video, and audio creation capabilities for TV, podcasts, Amazon.com and publisher sites.
</li><li>Dive Deep with applied scientists, ML engineers, and software engineers to translate the latest generative AI research into evidence-based, practical advertiser solutions.</li><li>Collect or create content benchmarks, define success criteria, and execute scientific evaluations in partnership with the organization.</li><li>Learn and be Curious to stay current on generative AI trends, research developments, and industry innovations to identify new opportunities and maintain a competitive advantage.</li><li>Write strategic documents including PRFAQs, vision documents, and technical requirements that align leadership and engineering teams on ambitious product goals</li><li>Collaborate cross-functionally with engineering, design, science, creatives, production teams, go-to-market specialists, and external partners to influence priorities and ensure seamless product execution and adoption.</li><li>Monitor and optimize product performance through data analysis, user feedback, and competitive intelligence to continuously improve AI model outputs and user experience</li></ul> 
About the team 
Amazon Advertising is one of Amazon's fastest growing and most profitable businesses. The Creative Experience team within Ads is leveraging AI to incubate a creative future where any advertiser&mdash;from emerging brands to global enterprises&mdash;can produce agency-quality video, image, and audio ad content in minutes instead of months. We are first-movers in the industry, democratizing creative access by launching generative AI solutions that act as a full-service creative agency in your pocket. We're investing heavily in the most advanced AI technologies, including latent-diffusion models for stunning visual generation, large language models for creative strategy and copywriting, agentic systems that orchestrate complex tasks, computer vision for product understanding, and multimodal synthesis for seamless audio-visual experiences. Every solution we build moves us closer to a state where creative quality is limited only by imagination, not budget or resources.</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>Bachelor's degree</li><li>3+ years of end to end product delivery experience</li><li>Experience integrating UX research into customer experience, team culture, development process, and design principles</li><li>Experience managing and deploying ML products</li><li>Experience leading engineering discussions around technology decisions and strategy related to a product</li><li>Experience working with data and leveraging analytics to make decisions</li><li>Demonstrated high curiosity for and awareness of the latest generative AI tools and industry trends</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience in building and driving adoption of new tools</li><li>Experience in advertising, marketing technologies, or working with creative teams</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. 
 
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,100/year in our lowest geographic market up to $235,200/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Senior Product Manager-Technical - AI Creative Generation, Ads CreativeX

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
We're seeking a Principal Designer to revolutionize how we create and deliver advertising experiences through the innovative use of AI technologies. As a key leader in our Design organization, you'll be at the forefront of transforming traditional advertising workflows into intelligent, dynamic, and highly personalized customer journeys. 
 
Key job responsibilities 
<ul><li>Lead the design strategy for next-generation advertising experiences that leverage AI/ML capabilities to enhance creative output and optimization</li><li>Pioneer new workflows that dramatically accelerate the design-to-deployment pipeline while maintaining exceptional quality standards</li><li>Champion design systems that scale across multiple platforms and adapt intelligently to user behavior and context</li><li>Partner with AI/ML teams to develop novel approaches for automated design generation and optimization</li><li>Mentor and guide design teams in adopting AI-enhanced workflows and tools</li></ul></div><h2 class="jobSectionHeader"> 
BASIC QUALIFICATIONS</h2><ul><li>10+ years of design experience</li><li>Experience with best practices for User Interface Design, Information Architecture, and Interaction Design</li><li>Experience in life cycle design projects from design strategy through execution</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience providing and effectively communicating strategic and tactical recommendations based on data</li><li>Experience designing and prototyping with tools such as Sketch, Photoshop, Illustrator, Axure, Keynote, and InVision</li><li>Experience influencing cross-organizational design strategies and driving adoption of design systems</li><li>Experience collaborating with AI/ML teams to integrate emerging technologies into design workflows</li><li>Demonstrated ability to balance strategic vision with hands-on execution in complex, ambiguous environments</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. 
 
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $147,600/year in our lowest geographic market up to $244,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Principal Designer, Amazon Ads

BPM Supreme

<div>
 
 
 Junior Software Engineer - Platform &amp; Maintenance
 
 
 
 
 
 
 
 Location:
 
 Remote (with some travel)
 
 
 
 Employment Type:
 
 Full-Time
 
 
 
 Company:
 
 BPM Music
 
 
 
 
 
 
 About BPM Music:
 
 
 
 BPM Music is a leading platform at the intersection of music, tech, and culture powering the tools DJs, producers, and music professionals need to thrive. We are building the next generation of music discovery, streaming, and library management products for creators and curators. We are entering an exciting new phase as we expand our product ecosystem and are looking for a hands-on software engineer.
 
 
 
 
 
 
 What You&rsquo;ll Own:
 
 
 
 This role focuses on strengthening the reliability, performance, and stability of BPM Music&rsquo;s existing platforms. You will work closely with our engineering team to troubleshoot issues, support ongoing development tasks, and ensure seamless functionality across our products.
 
 
 
 
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 Debug and resolve backend issues across BPM platforms
 </li>
 <li>
 Support bug fixes, error triage, and ticket resolution
 </li>
 <li>
 Improve system performance and platform stability
 </li>
 <li>
 Write maintainable backend code (Node.js, Python, TypeScript)
 </li>
 <li>
 Contribute to API and database enhancements
 </li>
 <li>
 Participate in DevOps workflows and deployments
 </li>
 <li>
 Join stand-ups and collaborate cross-functionally with engineering and product teams
 </li>
 </ul>
 
 
 
 
 
 &nbsp;What We&rsquo;re Looking For:
 
 
 <ul>
 <li>
 2-3 years of engineering experience
 </li>
 <li>
 Knowledge with Node.js, React, Python, Typescript
 </li>
 <li>
 Strong debugging and problem-solving skills
 </li>
 <li>
 Eagerness to learn and grow in a fast-paced environment
 </li>
 <li>
 AWS (EC2, S3, RDS, CloudFron Glue, Elastic, Beanstalk)
 </li>
 <li>
 Bonus: interest in music, audio tech, or creator tools
 </li>
 <li>
 Vendor management via Toptal/BairesDev
 </li>
 <li>
 GitHub, Jira, Slack, Notion
 </li>
 </ul>
</div>

Junior Software Engineer

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