aiml - applied ml engineer, data generation & verification

aiml - sr backend engineer, data and ml innovation

aiml - sr machine learning engineer, data and ml innovation

ai / software engineering intern Jobs in Seattle

ai / software engineering intern

aiml - applied ml engineer, data generation & verification Jobs in Seattle

aiml - sr backend engineer, data and ml innovation Jobs in Seattle

aiml - sr machine learning engineer, data and ml innovation Jobs in Seattle

analytics data engineer

applied scientist sales ai

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Are you interested in shaping the future of Advertising and B2B Sales? We are a growing team with an exciting AI-first charter and need your passion, innovative thinking, and creativity to help take our products to new heights.<br>
<br>
Amazon Advertising is one of Amazon's fastest growing and most profitable businesses, responsible for defining and delivering a collection of advertising products that drive discovery and sales. Our products are strategically important to our businesses driving long term growth. We break fresh ground in product and technical innovations every day!<br>
<br>
Within the Advertising Sales organization, we are building a central AI/ML team and are seeking top Applied Science talent to help us build new, science-backed services that drive success for our customers. Our goal is to transform the way account teams operate by creating actionable insights and recommendations they can share with their advertising accounts, and ingesting Generative AI throughout their end-to-end workflows to improve their work efficiency.<br>
<br>
As an Applied Scientist on the team, you will bring deep expertise in modeling dynamic systems using statistical methods and deep learning, and in optimizing those systems using reinforcement learning and operations research. You have the scientific and technical skills to build and refine models that can be implemented in production, and you leverage natural language processing and generative AI to enhance their explainability. You will chart new courses with our ad sales support technologies, and you have the communication skills necessary to explain complex technical approaches to a variety of stakeholders and customers. You will be part of a team of fellow scientists and engineers taking iterative approaches to tackle big, long-term problems. You are fluently able to leverage the latest generative AI systems and services to accelerate and improve your work while maintaining high quality in your outputs.<br>
<br>
Key job responsibilities<br>
Scientific Modeling<br>
<ul><li>Conceptualize and lead state-of-the-art research on new Machine Learning and Generative Artificial Intelligence solutions to optimize all aspects of the Ad Sales business</li><li>Lead the technical approach for the design and implementation of successful models and algorithms in support of expert cross-functional teams delivering on demanding projects</li><li>Run regular A/B experiments, gather data, and perform statistical analysis</li><li>Improve the scalability, efficiency and automation of large-scale data analytics, model training, deployment and serving</li><li>Publish scientific findings in reports and papers that can be shared internally and externally</li></ul>
Product Development Support<br>
<ul><li>Partner with software engineering and product management teams to support product and service development, define success metrics and measurement approaches, and help drive adoption of innovative new features for our services.</li><li>Lead requirements gathering sessions with product teams and business stakeholders</li><li>Maintain scientific documentation and knowledge for product initiatives</li></ul>
Collaboration &amp; Communication<br>
<ul><li>Work closely with software engineers to deliver end-to-end solutions into production</li><li>Translate complex scientific findings into actionable business recommendations for stakeholders and senior management</li><li>Provide clear, compelling reports and presentations on a regular basis with respect to your models and services</li><li>Communicate with internal teams to showcase results and identify best practices.</li></ul><br>
About the team<br>
Sales AI is a central science and engineering organization within Amazon Advertising Sales that powers selling motions and account team workflows via state-of-the-art of AI/ML services. Sales AI is investing in a range of sales intelligence models, including the development of advertiser insights, recommendations and Generative AI-powered applications throughout account team workflows.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of building models for business application experience</li><li>PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience</li><li>Experience in patents or publications at top-tier peer-reviewed conferences or journals</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience using Unix/Linux</li><li>Experience in professional software development</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 - 142,800.00 - 193,200.00 USD annually</div><p></p>

Applied Scientist, Sales AI

University Of Washington

<div><p><b>Job Description
</b></p><p></p><p><b>Who we&rsquo;re looking for:
</b></p><p>The UW Medicine - Department of Laboratory Medicine &amp; Pathology (DLMP) in Seattle, WA has a fantastic opportunity for a <b>Medical Laboratory Scientist Trainee/1 </b>with the <b>Microbiology Team </b>at <b>Harborview Medical Center </b>.
</p><p></p><p><b>Work schedule:
</b></p><ul><li>100% FTE
</li><li>Monday - Friday with rotating holidays
</li><li>Evening shift
</li></ul><p></p><p><b>What you&rsquo;ll contribute:
</b></p><ul><li>Perform and/or provide high level support for the performance of moderate to high complexity clinical laboratory tests used in the screening, diagnosing, and treating of pathological conditions.
</li><li>Perform manual, semi-automated, and automated patient and proficiency testing without errors by following SOPs as identified by current policies and procedures in the areas trained. This may include routine bacteriology, susceptibility testing, mycology, mycobacteriology, parasitology, molecular testing, and/or specimen processing.
</li><li>Report critical values, STAT results, reportable/notifiable conditions, courtesy notifications, and routine results according to established protocols. Ensure turnaround times are consistent with guidelines and documentation is complete. Utilize information systems in addition to the LIS as needed.
</li><li>Perform and document routine quality control and preventative maintenance according to established protocols.
</li><li>Exercise knowledge, judgment, and decision-making skills needed to recognize, troubleshoot, correct, and document problems associated with patient testing, quality control, and preventative maintenance.
</li><li>Assist in instruction and training of employees, post-doctoral fellows, residents, medical students, medical technology students, etc. Provide evaluation feedback in a timely manner.
</li><li>Actively participate in continuing education activities, e.g., Plate Rounds, CAP online education, reading job-related journal articles, etc.
</li><li>Assist in the development and evaluation of new procedures/processes and assess the relevance and accuracy of current procedures/processes.
</li><li>Demonstrate the knowledge and skills necessary to provide care or other services based on physical, psychosocial, educational, safety, and related criteria appropriate to the age of the patient.
</li><li>Performs related duties as required.
</li></ul><p></p><p><b>What you&rsquo;ll need:
</b></p><p><i>Requirements for an MLS Trainee </i>:
</p><ul><li>Accredited bachelor&rsquo;s degree in medical laboratory science OR equivalent education/experience AND
</li><li>Eligible to take the Medical Laboratory Scientist or categorical certification examination from the American Society for Clinical Pathology (ASCP) within 18 months from date of hire. Failure to attain the certification within 18 months of date of hire may result in a recommendation for termination.
</li></ul><p></p><p><i>Requirements for an MLS 1 </i>:
</p><ul><li>Accredited bachelor&rsquo;s degree in medical laboratory science OR equivalent education/experience AND
</li><li>Current Medical Laboratory Scientist certification with the American Society for Clinical Pathology (ASCP) or equivalent certifying organization OR certification with specialty organization appropriate to the laboratory division AND
</li><li>One (1) year of experience as a Medical Laboratory Scientist Trainee. Up to one (1) year of on-the-job experience performing clinical testing in a Medical Laboratory Science Program externship may count toward the experience requirement.
</li></ul><p></p><p><b>What we offer:
</b></p><ul><li>Vacation time and sick time off that accrue monthly, including 12 paid holidays.
</li><li>State Employee Tuition Exemption Program covering up to 6 credits of qualifying coursework per quarter at the University of Washington or other participating colleges or universities.
</li><li>Fully subsidized public transit pass (U-PASS) that covers multiple forms of public transportation in the region.
</li><li>Excellent healthcare, dental, disability, retirement, and other plan options.
</li><li>Lots of free fantastic fitness, healthy eating, finance, and stress reduction classes offered through the Whole U.
</li><li>And much more!
</li></ul><p></p><p><b>About the Department of Laboratory Medicine &amp; Pathology:
</b></p><p>A regional resource for clinical laboratory services required for innovative patient care, research and educational programs, the <b>Department of Laboratory Medicine &amp; Pathology </b>at UW Medicine combines the sophisticated testing and informatics capabilities of fully accredited laboratories with the resources of an academic institution in its delivery of clinical and anatomic pathology services. Recognized for excellence in clinical training, world-class research initiatives, and a commitment to community service, we serve labs and medical facilities both nationally and internationally.
</p><p></p><p>Please visit our website to learn more about our department.
</p><p></p><p><b>About UW Medicine:
</b></p><p>UW Medicine is Washington&rsquo;s only health system that includes a top-rated medical school and an internationally recognized research center. UW Medicine&rsquo;s mission is to improve the health of the public by advancing medical knowledge, providing outstanding primary and specialty care to the people of the region, and preparing tomorrow&rsquo;s physicians, scientists and other health professionals.
<br>
<br>
All across UW Medicine, our employees collaborate to perform the highest quality work with integrity and compassion and to create a respectful, welcoming environment where every patient, family, student and colleague is valued and honored. Nearly 29,000 healthcare professionals, researchers, and educators work in the UW Medicine family of organizations that include Harborview Medical Center, UW Medical Center - Montlake, UW Medical Center - Northwest, Valley Medical Center, UW Medicine Primary Care, UW Physicians, UW School of Medicine, and Airlift Northwest.
</p><p></p><p>Become part of our team . Join our mission to make life healthier for everyone in our community.
</p><p></p><p><b>Compensation, Benefits and Position Details
</b></p><p></p><p><b>Pay Range Minimum:
</b></p>$37.70 hourly
<p><b>Pay Range Maximum:
</b></p>$55.62 hourly
<p><b>Other Compensation:
</b></p><ul><li></li></ul><p><b>Benefits:
</b></p>For information about benefits for this position, visit https://www.washington.edu/jobs/benefits-for-uw-staff/
<p><b>Shift:
</b></p>Permanent Evening Shift (United States of America)
<p><b>Temporary or Regular?
</b></p>This is a regular position
<p><b>FTE (Full-Time Equivalent):
</b></p>100.00%
<p><b>Union/Bargaining Unit:
</b></p>SEIU Local 925 Healthcare Prof/Lab Tech
<p></p><p><b>About the UW
</b></p><p></p><p>Working at the University of Washington provides a unique opportunity to change lives &ndash; on our campuses, in our state and around the world.
</p><p></p><p>UW employees bring their boundless energy, creative problem-solving skills and dedication to building stronger minds and a healthier world. In return, they enjoy outstanding benefits, opportunities for professional growth and the chance to work in an environment known for its diversity, intellectual excitement, artistic pursuits and natural beauty.
</p><p></p><p><b>Our Commitment
</b></p><p></p><p>The University of Washington is committed to fostering an inclusive, respectful and welcoming community for all. As an equal opportunity employer, the University considers applicants for employment without regard to race, color, creed, religion, national origin, citizenship, sex, pregnancy, age, marital status, sexual orientation, gender identity or expression, genetic information, disability, or veteran status consistent with UW Executive Order No. 81 .
</p><p></p><p>To request disability accommodation in the application process, contact the Disability Services Office at 206-543-6450 or dso@uw.edu .
</p><p></p><p>Applicants considered for this position will be required to disclose if they are the subject of any substantiated findings or current investigations related to sexual misconduct at their current employment and past employment. Disclosure is required under Washington state law .</p></div>

Medical Laboratory Scientist Trainee/1, HMC Microbiology Lab

Anthropic

<div>
 <strong>
  About Anthropic
  <br/>
  <br/>
 </strong>
 Anthropic&rsquo;s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 As an Analytics Engineer, you will be an early member of the Data Science &amp; Analytics team building the foundation to scale analytics across our organization. You will collaborate with key stakeholders in Engineering, Product, GTM and other areas to build scalable solutions to transform data into key metrics reporting and insights. You will be responsible for ensuring teams have access to reliable, accurate metrics that can scale with our company&rsquo;s growth. You will also lead your own projects to enable self-serve insights to help teams make data-driven decisions.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Understand the data needs of stakeholder teams in terms of key data models and reporting, and translate that into technical requirements
  </li>
  <li>
   Define, build and manage key data pipelines in dbt that transform raw logs into canonical datasets
  </li>
  <li>
   Establish high data integrity standards and SLAs to ensure timely, accurate delivery of data
  </li>
  <li>
   Develop insightful and reliable dashboards to track performance of core metrics that will deliver insights to the whole company
  </li>
  <li>
   Build foundational data products, dashboards and tools to enable self-serve analytics to scale across the company
  </li>
  <li>
   Influence the future roadmap of Product and GTM teams from a data systems perspective
  </li>
  <li>
   Become an expert in our organization&rsquo;s data models and the company's data architecture
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  You Might Be a Good Fit If You Have
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   5+ years of experience as an Analytics Data Engineer or similar Data Science &amp; Analytics roles, preferably partnering with GTM and Product leads to build and report on key company-wide metrics.
  </li>
  <li>
   A passion for the company's mission of building helpful, honest, and harmless AI.
  </li>
  <li>
   Expertise in building multi-step ETL jobs, building robust data models through tooling like dbt; proficiency with workflow management platforms like Airflow and version control management tools through GitHub.
  </li>
  <li>
   Expertise in SQL and Python to transform data into accurate, clean data models.
  </li>
  <li>
   Experience building data reporting and dashboarding in visualization tools like Hex to serve multiple cross-functional teams.
  </li>
  <li>
   A bias for action and urgency, not letting perfect be the enemy of the effective.
  </li>
  <li>
   A &ldquo;full-stack mindset&rdquo;, not hesitating to do what it takes to solve a problem end-to-end, even if it requires going outside the original job description.
  </li>
  <li>
   Experience building an Analytics Data Engineering (or similar) function at start-ups.
  </li>
  <li>
   A strong disposition to thrive in ambiguity, taking initiative to create clarity and forward progress.
   <br/>
   <br/>
  </li>
 </ul>
 The annual compensation range for this role is listed below.
 <br/>
 <br/>
 For sales roles, the range provided is the role&rsquo;s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
 <br/>
 <br/>
 <strong>
  Annual Salary
  <br/>
  <br/>
 </strong>
 $275,000&mdash;$370,000 USD
 <br/>
 <br/>
 <strong>
  Logistics
  <br/>
  <br/>
 </strong>
 <strong>
  Minimum education:
 </strong>
 Bachelor&rsquo;s degree or an equivalent combination of education, training, and/or experience
 <br/>
 <br/>
 <strong>
  Required field of study:
 </strong>
 A field relevant to the role as demonstrated through coursework, training, or professional experience
 <br/>
 <br/>
 <strong>
  Minimum years of experience:
 </strong>
 Years of experience required will correlate with the internal job level requirements for the position
 <br/>
 <br/>
 <strong>
  Location-based hybrid policy:
 </strong>
 Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
 <br/>
 <br/>
 <strong>
  Visa sponsorship:
 </strong>
 We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
 <br/>
 <br/>
 <strong>
  We encourage you to apply even if you do not believe you meet every single qualification.
 </strong>
 Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
 <br/>
 <br/>
 <strong>
  Your safety matters to us.
 </strong>
 To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links&mdash;visit anthropic.com/careers directly for confirmed position openings.
 <br/>
 <br/>
 <strong>
  How We're Different
  <br/>
  <br/>
 </strong>
 We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact &mdash; advancing our long-term goals of steerable, trustworthy AI &mdash; rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
 <br/>
 <br/>
 The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI &amp; Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
 <br/>
 <br/>
 <strong>
  Come work with us!
  <br/>
  <br/>
 </strong>
 Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
 <strong>
  Guidance on Candidates' AI Usage:
 </strong>
 Learn about our policy for using AI in our application process.
</div>


Analytics Data Engineer

Software Engineer, Machine Learning

Tata Consultancy Services (TCS)

<div></div><div><div><div><div><div>The Agentic AI Data Engineer is a hands-on role focused on building and maintaining the data pipelines and infrastructure that fuel AI agent systems. Within TCS&rsquo;s AI &amp; Data group (Americas), you will be the builder who turns data architecture plans into reality, ensuring that AI models and agents have continuous access to high-quality, timely data. This client-facing consulting role involves hybrid work from client site as needed for deployment. You&rsquo;ll work across wide array of business functions within Retail. By combining expertise in data ingestion, transformation, and integration with knowledge of AI data needs, you will play a critical part in enabling AI agents to perform reliably and accurately in production.</div><br>
<div><br>
</div><div>What You Would Be Doing:
</div><div>Build Data Ingestion Pipelines: Develop robust pipelines to extract data from various sources (databases, APIs, flat files, streaming sources) relevant to the AI solution.
</div><div>Data Transformation &amp; Processing: Implement transformation and cleaning steps on raw data to make it usable for AI, ensuring efficiency and scalability.
</div><div>Loading Data to Storage/Indices: Set up processes to load processed data into target storage systems that AI agents or models will use.
</div><div>Real-Time Data Feeds: Implement streaming or incremental update pipelines when AI systems require real-time or frequently updated data.
</div><div>Pipeline Automation &amp; Scheduling: Use orchestrators or schedulers to automate the data workflows.
</div><div>Data Integration &amp; API Development: Develop and maintain integration components for real-time data fetching.
</div><div>Collaborate on RAG/Knowledge Base Updates: Work closely with AI Data Architects on implementing RAG updates.
</div><div>Testing and Validation of Data Pipelines: Develop tests and monitoring for your data pipelines.
</div><div>Optimize Pipeline Performance: Profile and optimize data pipelines for speed and resource usage.
</div><div>Documentation and Handover: Document pipeline processes, configurations, and dependencies clearly.
</div><div>Industry-Specific Data Handling: Adapt data engineering to specific domain needs.
</div><div>Collaboration &amp; Agile Implementation: Work as part of an agile product team, collaborating with data architects, AI engineers, and others.
</div><div>Maintain and Evolve Pipelines: Monitor pipelines and handle maintenance post go-live.</div><br>
<div><br>
</div><div>What Skills Are Expected:
</div><div>Programming &amp; Scripting: Strong programming skills, especially in Python, and experience with other languages like SQL.
</div><div>Data Pipeline Development: Practical experience building data pipelines end-to-end.
</div><div>Database and SQL Skills: Proficiency in writing and optimizing SQL queries.
</div><div>Big Data &amp; Distributed Processing: Experience with big data technologies like Apache Spark.
</div><div>Streaming Data Experience: Familiarity with streaming frameworks and tools like Kafka.
</div><div>API Integration and Web Services: Ability to interact with web APIs for data ingestion or extraction.
</div><div>Data Formats and Parsing: Strong understanding of data formats and ability to parse JSON, XML, or custom text formats.
</div><div>DevOps for Data Pipelines: Basic DevOps skills, including using Git for version control and CI/CD pipelines.
</div><div>Problem Solving &amp; Debugging: Strong ability to troubleshoot data issues.
</div><div>Data Quality Focus: Attentiveness to data quality and skills in implementing checks and validating outputs.
</div><div>Collaboration &amp; Commun ication: Good communication skills to work with the team and clients.
</div><div>Time Management &amp; Flexibility: Ability to handle multiple tasks and prioritize effectively.
</div><div>Domain Data Understanding: Aptitude to learn domain context from data.
</div><div>Security &amp; Privacy Business Units: Understanding of handling sensitive data securely in pipelines.
</div><div>Continuous Learning: Willingness to learn new tools or frameworks as needed.</div><br>
<div><br>
</div><div>Key Technology Capabilities:
</div><div>ETL / Data Integration Tools: Experience with tools such as Apache Airflow, Informatica PowerCenter, or cloud-based ones like Azure Data Factory.
</div><div>Big Data Processing: Proficiency in Apache Spark and knowledge of Hadoop HDFS.
</div><div>SQL &amp; Databases: Strong practical SQL skills and familiarity with relational database systems.
</div><div>NoSQL and Other Data Stores: Knowledge of specific systems like MongoDB or Cassandra.
</div><div>Stream Processing: Hands-on usage of Apache Kafka and understanding of consumer group mechanics.
</div><div>Cloud Storage &amp; Compute: Familiarity with cloud storage services like Amazon S3 and cloud compute for ETL.
</div><div>APIs &amp; Web Services: Experience building or using connectors to RESTful APIs.
</div><div>File Formats &amp; Data Serialization: Understanding of various file formats and ability to convert between them.
</div><div>Operating Systems &amp; Scripting: Comfortable with Linux shell and basic shell scripting.
</div><div>Version Control &amp; CI/CD: Using Git for source control and setting up CI pipelines for data projects.
</div><div>Monitoring &amp; Logging Tools: Utilizing monitoring tools for data workflows.
</div><div>Data Visualization/Verification: Basics of tools like Excel or Python&rsquo;s Jupyter notebooks for data sanity checks.
</div><div>Security &amp; Networking: Understanding network configurations for data transfer.
</div><div>Testing Frameworks: Familiarity with PyTest or unittest for writing tests for data transformations.
</div><div>Collaboration Tools: Experience with tools like JIRA and documentation tools.
</div><div>AI/ML Familiarity: Bonus if you understand some AI/ML fundamentals</div><br>
<div><br>
</div><div>Salary Range: 124300-168100 a year
</div><div>#LI-MM6</div><br>
<div><br>
</div></div></div></div><div><div><div><b>Location</b></div>
<div>Seattle, WA</div>
</div><div><div><b>Job Function</b></div>
<div>CONSULTANCY</div>
</div><div><div><b>Role</b></div>
<div>Engineer</div>
</div><div><div><b>Job Id</b></div>
<div>415327</div>
</div><div><div><b>Desired Skills</b></div>
<div>Artificial Intelligence</div>
</div><div><div><b>Salary Range</b></div>
<div>$124,300-$168,100 a year</div></div></div></div><div></div>

Senior Engineer, AI Data Management

TikTok

<div></div><div><div>Seattle
<div></div>Regular
<div></div>R&amp;D
<div></div>Job ID: A23042
</div><div>Responsibilities</div>
<div>About the Team: We are the TikTok E-commerce AI Platform team (USDS). Our mission is to build the one-stop AI platform that allows different business domains to fully realize the potential of LLM and AI Agents. We are providing business-centric and user-friendly platform that covers from model training, model service managements, MCP/Skills/Tools integration, and AI orchestration, and business applications. Our visions are maximizing end-to-end AI application development efficiency and ultimately enabling e-commerce business to achieve self-evolving AI native goal. Responsibilities: - System Architecture &amp; Implementation: Lead the design, implementation, and operation of AI platforms that can provide robust performance and flexible business integration solutions. - Cross-Functional Collaboration: Partner effectively across various teams, organizations, and internal/external stakeholders to drive complex engineering efforts and align technical strategies. - Innovation: Drive technical innovation by identifying and integrating emerging technologies and novel ideas to keep our infrastructure at the cutting edge.</div>
<div>Qualifications</div>
<div>Minimum Qualifications: - Bachelor's degree in Computer Science, Engineering, or a related technical discipline. - 1+ years of hands-on experience building, training, and deploying complex and scalable Machine Learning systems. - Strong foundation in Computer Science, including algorithms, data structures, and software design patterns. Excellent problem-solving abilities. - Solid programming skills with a strong understanding of Agentic AI and AI platforms like ChatBot, Rag, A2A protocols, etc. - Proven experience in managing technical projects and delivering results. Preferred Qualifications: - In-depth experience with Agentic AI and related sub-systems (e.g., Rag, AutoPrompt). - Deep understanding of the full LLM training and serving process.</div>
<div>Job Information</div>
<div><div>【For Pay Transparency】Compensation Description (Annually)<div><br>
<div><p>The base salary range for this position in the selected city is $129960 - $246240 annually.<br>
</p><p>Compensation may vary outside of this range depending on a number of factors, including a candidate&rsquo;s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.<br>
</p><p>Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).<br>
</p><p>The Company reserves the right to modify or change these benefits programs at any time, with or without notice.<br>
</p><p>For Los Angeles County (unincorporated) Candidates:<br>
</p><p>Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:<br>
</p><p>1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;<br>
</p><p>2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and<br>
</p><p>3. Exercising sound judgment.<br>
</p></div></div></div><div>About USDS<div><br>
<div><p>TikTok USDS Joint Venture LLC is dedicated to the safety and security of millions of Americans who create, discover, and connect with what they love on the apps we operate. The Joint Venture has been established in compliance with the Executive Order signed by President Trump on September 25, 2025. Our foundation is a comprehensive data privacy and cybersecurity program we operate under defined safeguards to protect national security and secure U.S. user data, apps and the algorithm. We safeguard the U.S. content ecosystem, holding decision-making authority for trust and safety policies and moderation. USDS Joint Venture helps ensure Americans can continue to express their creativity, discover new hobbies and interests, and build thriving communities and businesses on a global scale.<br>
</p><p></p><p>On-site presence across teams allows the company to operate with greater speed, alignment, and agility &mdash; especially in areas like real-time decision-making, team development, and integrated execution. As such, the company is shifting from a hybrid work model to a fully in-person schedule up to 5 days a week.<br>
</p></div></div></div><div>Why Join Us<div><br>
<div><p>Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect &ndash; and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.<br>
</p><p>We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an &quot;Always Day 1&quot; mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.<br>
</p><p></p><p>Diversity &amp; Inclusion<br>
</p><p>TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.<br>
</p></div></div></div><div>USDS Reasonable Accommodation<div><br>
<div><p>USDS is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://tinyurl.com/USDS-RA</p></div></div></div></div></div><p></p>

Software Engineer, E-Commerce AI Platform - USDS

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Alexa+ is Amazon's next-generation AI-powered personal assistant, built on large language models to deliver natural, conversational, and context-aware experiences for hundreds of millions of customers worldwide. We are building new services and experiences for Alexa+ customers from the ground up, and we're looking for experienced, generative AI-savvy Software Development Engineers to join us.<br>
<br>
In this role, you will design, build, and operate Tier-1 cloud services that enable real-time experiences with hundreds of millions of devices and customers. You'll partner with engineers across Alexa+ to tackle complex technical challenges, drive innovation, and deliver experiences that redefine what a personal assistant can do.<br>
<br>
Why You'll Love It Here<br>
<ul><li>Unprecedented technical challenges: You'll work on problems at a scale and complexity few teams encounter. We don't just build AI products; we use generative AI extensively in our own engineering practices, keeping you at the forefront of the field.</li><li>Motivated, collaborative team: Join a team of passionate engineers who support each other, share knowledge freely, and celebrate wins together.</li><li>Greenfield opportunity: We're building from the ground up, giving you the chance to shape architecture, tooling, and culture from day one.</li><li>World-changing impact: Your work will directly shape how hundreds of millions of customers interact with their personal assistant every day.</li></ul><br>
Key job responsibilities<br>
<ul><li>Design and implement highly available, scalable cloud services in Rust and Java</li><li>Build and operate Tier-1 services at massive scale</li><li>Solve novel and complex distributed systems challenges &mdash; from low-latency communication to fault-tolerant architectures</li><li>Leverage generative AI extensively in your day-to-day development workflow to accelerate delivery and improve code quality</li><li>Collaborate with cross-functional engineering teams across Alexa+ to define technical direction and deliver customer-facing features</li><li>Contribute to a culture of operational excellence, including on-call support, monitoring, and continuous improvement</li></ul></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>Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field</li><li>Experience programming with at least one software programming language</li></ul><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><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 - 143,700.00 - 194,400.00 USD annually</div><p></p>

Software Development Engineer, Alexa Connected Devices

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