aiml - applied ml engineer, data generation & verification

aiml - sr backend engineer, data and ml innovation

aiml - sr machine learning engineer, data and ml innovation

applied scientist, prime video - content localization, understanding & enrichment

category management project intern (tiktok shop - operation center) - 2026 start (bs/ms)

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

applied scientist, prime video - content localization, understanding & enrichment Jobs in Seattle

aiml sr machine learning engineer data and ml innovation

Slack

<div>
 
 To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
 
 
 
 Job Category
 
 
 Software Engineering
 
 
 Job Details
 
 
 
 About Salesforce
 
 
 
 Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn&rsquo;t a buzzword &mdash; it&rsquo;s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
 
 
 Ready to level-up your career at the company leading workforce transformation in the agentic era? You&rsquo;re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
 
 
 
 About Slack AI
 
 
 
 Slack AI's mission is to transform how people work by making Slack an AI-powered operating system. We're tackling significant challenges like unlocking collective knowledge and reducing noise, all while building a seamless, consumer-grade AI experience within users' existing workflows. Join us in shaping the future of work through AI.
 
 
 The software engineer role at Salesforce encompasses architecture, design, implementation, and testing to ensure we build products right and release them with high quality. Equally important is advanced prompt engineering &mdash; the ability to write precise, structured prompts and cultivate the system context that makes AI outputs reliable, secure, and production-ready.
 
 
 
 About The Team
 
 
 
 The AI and ML Infrastructure team is part of Slack&rsquo;s Core Infrastructure organization and is responsible for the foundational systems that enable machine learning and AI across the company. The team designs, builds, and operates reliable, scalable, and high performance platforms that allow product and ML teams to develop, deploy, and operate AI driven capabilities with confidence.
 
 
 The team owns shared infrastructure, services, and tooling that support the full ML lifecycle, including model training, deployment, inference, and monitoring. As Slack AI continues to grow, the team is evolving from traditional ML deployments toward large scale, highly distributed systems. This work involves deep architectural decisions around scalable model deployment strategies, real time feature serving at very high throughput, GPU accelerated inference at message scale, and responsible training of models on sensitive data with strong privacy and safety requirements.
 
 
 
 Core Focus Areas
 
 
 
 <ul>
 <li>
 ML Infrastructure - The ML Infrastructure focus area is responsible for the low level systems that power training and inference at scale. This includes architecting and maintaining distributed systems for model training, serving, and deployment using Kubernetes based platforms, GPU infrastructure, and open source ML stacks such as KubeRay and vLLM. The team delivers platform capabilities that improve the speed, reliability, and quality of ML development, including training pipelines, feature generation systems, and compute orchestration.
 </li>
 <li>
 AI Platform - The AI Platform focus area builds the tooling and platform layers that enable AI development across Slack. This includes creating developer facing tools, SDKs, and workflows that allow product teams to integrate AI into Slack features efficiently and safely. The platform supports LLM efficiency and model transition initiatives through integrations with managed services across multiple cloud providers acting as the connective layer between core infrastructure and product engineering teams.
 
 
 </li>
 </ul>
 
 About The Role
 
 
 
 We are looking for Software Engineers to join
 
 the ML Infrastructure
 
 focus area and help architect and operate the core systems that power AI at Slack. In this role, you will own foundational infrastructure for large scale model training and inference, and evolve it into a reliable, secure, and self service platform used across the company.
 
 
 You will work at the intersection of distributed systems, GPU infrastructure, and modern ML stacks, solving complex scalability and reliability challenges. This role blends deep systems engineering with a strong understanding of the ML lifecycle, and plays a critical part in shaping the long term technical foundations of Slack&rsquo;s AI capabilities.
 
 
 What You Will Be Doing
 
 
 <ul>
 <li>
 Design, build, and operate systems to train, serve, and deploy machine learning models at scale, with a focus on reliability, performance, and operational simplicity
 </li>
 <li>
 Evolve GPU backed inference infrastructure to support high throughput, latency sensitive workloads, including large scale model serving
 </li>
 <li>
 Architect and optimize distributed training and data processing systems using platforms such as Ray, Airflow, Spark, or similar technologies
 </li>
 <li>
 Build and maintain Kubernetes based platforms and orchestration layers using tools such as KubeRay, vLLM, and internally developed services
 </li>
 <li>
 Architect solutions that bridge legacy systems with modern technologies while maintaining monolithic application stability
 </li>
 <li>
 Develop robust monitoring, observability, and alerting for production ML workloads to ensure operational excellence
 </li>
 <li>
 Partner closely with AI Platform, ML modeling, security, and product engineering teams to design infrastructure that supports evolving AI use cases
 </li>
 <li>
 Provide technical leadership through design reviews, mentorship, and by setting engineering standards and long term architectural direction for ML infrastructure
 </li>
 <li>
 Author technical design and architecture documentation, and contribute thought leadership through engineering blog posts
 </li>
 <li>
 Build and ship high-quality, production-grade software using modern engineering practices, with AI as a core part of your development workflow by pushing the boundaries of AI development tools to deliver secure, optimized, and high-quality code.
 </li>
 <li>
 Design and orchestrate complex systems where AI agents integrate seamlessly into human workflows, driving efficiency and innovation at scale.
 </li>
 <li>
 Contribute to building and maintaining the shared system context, an explicit repository of system designs, constraints, and standards that enables AI to operate accurately and reliably.
 </li>
 <li>
 Critically evaluate code (Human or AI-generated) for correctness, quality, security, and performance
 
 
 </li>
 </ul>
 What You Should Have
 
 
 <ul>
 <li>
 Significant professional experience in software engineering with a strong focus on infrastructure, backend systems, platform engineering, or MLOps
 </li>
 <li>
 Deep experience building and operating distributed systems, including expert level knowledge of Kubernetes and container based platforms
 </li>
 <li>
 Hands on experience with modern ML infrastructure and serving stacks such as Ray or KubeRay, vLLM, or similar training and inference orchestration frameworks
 </li>
 <li>
 Experience working with GPU infrastructure, including performance optimization and operational management at scale
 </li>
 <li>
 Strong experience with data infrastructure and orchestration technologies such as Airflow, Spark, or similar systems
 </li>
 <li>
 Experience building and operating cloud native systems on public cloud platforms such as AWS, GCP, or Azure, including infrastructure as code
 </li>
 <li>
 A demonstrated ability to drive technical direction for complex systems and balance short term delivery with long term architectural goals
 </li>
 <li>
 Excellent written communication, as well as ability to thrive in an asynchronous and globally distributed infrastructure team.
 </li>
 <li>
 A related technical degree required
 </li>
 <li>
 A demonstrated, genuine AI-first approach to engineering. Using AI to move faster, build fluency across the stack, and contribute well beyond your core specialty.
 </li>
 <li>
 Experience using AI tools (e.g., Claude Code, GitHub Copilot, Codex, Cursor, etc.) in development workflows
 </li>
 <li>
 Advanced prompt engineering skills and the ability to write precise, structured prompts and cultivate the system context that makes AI outputs reliable, secure, and production-ready.
 
 
 </li>
 </ul>
 Unleash Your Potential
 
 
 When you join Salesforce, you&rsquo;ll be limitless in all areas of your life. Our benefits and resources support you to find balance and
 
 be your best
 
 , and our AI agents accelerate your impact so you can
 
 do your best
 
 . Together, we&rsquo;ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future &mdash; but to redefine what&rsquo;s possible &mdash; for yourself, for AI, and the world.
 
 
 Accommodations
 
 
 If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form .
 
 
 Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates&rsquo; resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.
 
 
 Posting Statement
 
 
 Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that&rsquo;s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications &ndash; without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
 
 
 In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.
 
 
 At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions. The typical base salary range for this position is $148,500 - $313,700 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.
</div>

Software Engineer (Multiple Levels) - Machine Learning Infrastructure, Slack

Ernest Talent

Location: Seattle, WA (Hybrid &ndash; 3 Days Onsite) Duration: Long-Term Contract (12+ Months) Work Authorization: U.S. Citizen or Green Card Holder or EADAbout the RoleWe are seeking an experienced AWS Data Engineer to help build and scale modern cloud-based data platforms that power business intelligence, analytics, and machine learning initiatives. This is an excellent opportunity to work on large-scale data processing solutions, optimize data pipelines, and contribute to a growing data ecosystem built on AWS.You'll work alongside data architects, analysts, and data scientists to design reliable, high-performance data solutions that drive critical business decisions.What You'll Be Doing<ul><li>Design, develop, and optimize scalable ETL/ELT pipelines using AWS-native services</li><li>Build and maintain cloud-based data lake and data warehouse solutions supporting analytics and reporting workloads</li><li>Develop robust data integration frameworks using Python and PySpark</li><li>Design and optimize Amazon Redshift data models and query performance</li><li>Implement data quality, monitoring, and observability solutions across the data platform</li><li>Collaborate with data scientists to operationalize machine learning datasets and feature pipelines</li><li>Improve data governance, security, and compliance practices across AWS environments</li><li>Support automation initiatives and drive continuous improvements in data processing performance and reliability</li><li>Manage software asset, entitlement, and licensing data workflows through ServiceNow integrations</li></ul>What We're Looking For<ul><li>5+ years of Data Engineering experience building enterprise-scale data solutions</li><li>3+ years of hands-on AWS experience in production environments</li><li>Strong expertise in Python, SQL, and data modeling</li><li>Experience with AWS Glue, Redshift, Lambda, S3, Step Functions, and related AWS services</li><li>Strong understanding of ETL/ELT architecture, data integration patterns, and workflow orchestration</li><li>Hands-on experience with Apache Spark and PySpark</li><li>Experience optimizing large datasets for performance, scalability, and cost efficiency</li><li>Knowledge of data governance, security controls, IAM, encryption, and data lifecycle management</li></ul>Nice to Have<ul><li>AWS Certified Data Analytics &ndash; Specialty or related AWS certifications</li><li>Experience supporting machine learning and advanced analytics workloads</li><li>Familiarity with Airflow, Databricks, Snowflake, or modern data platform technologies</li><li>Experience working in Agile development environments</li></ul>Pay: $72.00 - $80.00 per hourWork Location: In person

AWS Data Engineer (Glue / Redshift / Python)

Tata Consultancy Services

<div>
 
 Job Description
 
 
 
 Must Have Technical/Functional Skills
 
 
 <ul>
 <li>
 5+ years of experience building platforms and data products
 </li>
 <li>
 5+ years of experience working with data and data warehousing business solutions
 </li>
 <li>
 5+ years of experience with cloud-platform technologies (AWS, Azure, GCP)
 </li>
 <li>
 AWS data engineering services (Glue, Lambda, Redshift), data modeling/Data mesh
 </li>
 <li>
 5+ years of experience with data pipeline tools and Extract Transform Load (ETL) services
 </li>
 <li>
 Experience with the configuration of Application Programming Interfaces (APIs) for data ingestion
 </li>
 <li>
 Experience with Artificial Intelligence (AI) hardware and software integrationenvironment.
 
 
 </li>
 </ul>
 Roles &amp; Responsibilities
 
 
 <ul>
 <li>
 Design and own the end-to-end cloud data platform architecture for Human Resources (HR) data (ingest, storage, processing, serving, cataloging, and archival)
 </li>
 <li>
 Translate HR analytics and Machine Learning (ML) requirements into logical and physical data models, data products, and platform services
 </li>
 <li>
 Define and implement data ingestion strategies (batch, streaming), transformation patterns (ELT/ETL), and orchestration for HR sources (HRIS, payroll, Learning Management Systems, recruiting, time and attendance, benefits, performance systems)
 </li>
 <li>
 Design, develop, maintain and optimize internal company data architecture for complex databases/data warehouse required to operate the business
 </li>
 <li>
 Complete data modelling for acquisition and database implementation collaborating with different stakeholders
 </li>
 <li>
 Apply data extraction, transformation and loading techniques to connect large and complex data sets from a variety of sources
 </li>
 <li>
 Lead the creation of data collection frameworks for structured and unstructured data and solve complex data problems to generate features required by data scientists
 </li>
 <li>
 Lead activities to develop and maintain complex infrastructure systems (e.g., data warehouses, data lakes) including data access Application Programming Interfaces (APIs)
 </li>
 <li>
 Analyze and manage complex data
 </li>
 <li>
 Guide other data and analytics professionals on data standards and practices
 </li>
 <li>
 Create a culture of sharing, reuse, design for scale stability, and operational efficiency of data and analytics solutions
 </li>
 <li>
 Lead build of repeatable data pipelines across complex multi- and hybrid-cloud environments
 </li>
 <li>
 Leverage automation extensively for scalability, repeatability, and reuse
 
 
 </li>
 </ul>
 Generic Managerial Skills, If any
 
 
 <ul>
 <li>
 Experience in Human Resources
 </li>
 <li>
 Experience with DevOps/DevSecOps and CI/CD practices, methodologies and tooling
 </li>
 <li>
 Experience wit h Azure DevOps (ADO) or Team Foundation Server (TFS), GitLab, GIT, IIS, Windows Server
 </li>
 <li>
 Experience with PCF (Pivotal Cloud Foundry)/Tanzu and/or exposure to Amazon Web Services, Google Cloud Platform, or Microsoft Azure
 </li>
 <li>
 Experience with Cloud technologies and/or Cloud-native app development and microservices
 
 
 </li>
 </ul>
 Base Salary Range : $100,000 to $130,000 Per Annum
 
 
 
 TCS Employee Benefits Summary
 
 
 
 Discretionary Annual Incentive.
 
 
 Comprehensive Medical Coverage: Medical &amp; Health, Dental &amp; Vision, Disability Planning &amp; Insurance, Pet Insurance Plans.
 
 
 Family Support: Maternal &amp; Parental Leaves.
 
 
 Insurance Options: Auto &amp; Home Insurance, Identity Theft Protection.
 
 
 Convenience &amp; Professional Growth: Commuter Benefits &amp; Certification &amp; Training Reimbursement.
 
 
 Time Off: Vacation, Time Off, Sick Leave &amp; Holidays.
 
 
 Legal &amp; Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
 
 
 
 Qualifications:
 
 BACHELOR OF COMPUTER SCIENCE
 
 
</div>

Cloud Data Engineer

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Are you ready to lead innovations that impact millions of Amazon customers? Do you want to pioneer solutions in an unexplored space? If yes, we have an exciting opportunity for you! 
 
The ARCADE Science and Analytics team needs a Business Intelligence Engineer (BIE) to drive our analytical solutions. This team supports Multichannel Fulfillment (MCF), Amazon Supply Chain Solutions (ASCS), and Buy with Prime (BwP) businesses. We seek a BIE who will identify business opportunities through data-driven insights, create predictive models for supply chain optimization, and analyze customer behavior patterns. 
 
The ideal candidate will build and deploy analytical solutions at scale while collaborating with cross-functional teams. You should have statistical analysis expertise, proficiency in SQL and Python, and experience with data visualization. Your technical skills should be complemented by a good understanding of business metrics and KPIs. 
 
Industry experience in eCommerce, transportation, finance, retail technology, or logistics is preferred. Join our team of engineers and data scientists to transform how Amazon serves its customers through data-driven decisions.
 
 
Key job responsibilities 
<ul><li>Design, develop and maintain scaled, automated, user-friendly systems, reports, and dashboards enabling stakeholders to manage the business and make effective decisions.</li><li>Work with PMs in understanding the business requirements and implementing solutions to support analytics and reports.</li><li>Conduct ad hoc data analysis and data quality investigations.</li><li>Implement training and documentation solutions that enables stakeholders to get the most out of our self-serve reporting tools.</li><li>Develop and support the analytical technologies that give our customers timely, flexible and structured access to their data.</li><li>Defining, developing and maintaining critical business and operational reports reviewed on a weekly, monthly, quarterly, and annual basis</li><li>Analysis of historical data to extract meaningful insights and learnings from large and complicated data sets identify trends and support decision making, including written and verbal presentation of results and recommendations</li><li>Collaborating with software development teams to implement analytics systems and data structures to support large-scale data analysis and delivery of machine learning models</li><li>Understanding of Amazon&rsquo;s data resources, which to use, how, and when</li></ul> 
About the team 
Amazon's Multichannel Commerce and Fulfillment (MCCF) is transforming global retail. We enable entrepreneurs worldwide to reach customers through any sales channel they choose. Through Multichannel Fulfillment (MCF), sellers can efficiently manage and fulfill orders across their sales channels. 
 
Buy with Prime extends Prime benefits beyond Amazon.com, offering fast, free shipping, seamless checkout, and free returns on merchants' own online stores. This innovation increases product selection for Prime members while helping merchants boost their sales. 
 
For over two decades, Amazon has empowered small and medium-sized businesses to grow. MCCF represents our next evolution in supporting merchants of all sizes&mdash;both on and off Amazon's platform.</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>1+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience</li><li>Experience with data visualization using Tableau, Quicksight, or similar tools</li><li>Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)</li><li>Experience with scripting language (e.g., Python, Java, or R)</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Master's degree, or Advanced technical degree</li><li>Knowledge of data modeling and data pipeline design</li><li>Experience with statistical analysis, co-relation analysis</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, WA, Seattle - 82,300.00 - 144,000.00 USD annually</div>

Business Intel Engineer, Multi Channel Fulfillment

Oracle

<div><div><div><div>OCI (Oracle Cloud Infrastructure) AI Infrastructure is at the forefront of building a cutting-edge, ultra-high-performance GPU platform designed to support AI/ML/HPC workloads. This is your chance to be part of the AI revolution, creating systems that allow customers to scale from tens to thousands of GPUs without compromising performance.
Our team is responsible for designing and developing fundamental architectural changes for GPU delivery, health monitoring, triage automation, and diagnostic services. These are essential for running distributed AI/ML/HPC workloads across thousands of GPUs, leveraging technologies like RoCE and InfiniBand.
We're looking for an experienced front-line engineering manager to lead and support AI Data Plane (DP) team. You'll build a highly available, massive scale, integrated cloud service in a distributed, multi-tenant cloud environment for hyper-scale AI customers.
You'll bring experience in leading engineering teams, including hands-on technical management and on-call experience. You have technical experience with high-performance, mission-critical environments. You demonstrate strong ownership, solid communication skills and a bias for action. You're comfortable leading projects, communicating with senior leadership, and growing your team.
Why Join Us?
Innovative Projects: Build groundbreaking solutions for our customers from the ground up.
Exciting Times: Be part of a young, fast-growing team working on ambitious new initiatives.
Dynamic Environment: Collaborate in a vibrant, agile environment where learning and adaptability are key.
What We&rsquo;re Looking For:
Adaptable Engineers: Self-motivated individuals with a quick learning ability.
Technical Excellence: Rock-solid developers and distributed systems engineers with a deep understanding of distributed systems and algorithms. Comfortable diving deep into any part of the stack, as well as software debugging and low-level systems troubleshooting.
Passion for Simplicity and Scale: Value simplicity and scalability in design and implementation.
Collaborative Spirit: Comfortable working in a collaborative, agile environment and eager to learn. Ability to collaborate effectively with various dependencies, including Network and Data Center operations.
At Oracle Cloud Infrastructure (OCI), we build the future of the cloud for Enterprises as a diverse team of fellow creators and inventors. We act with the speed and attitude of a start-up, with the scale and customer-focus of the leading enterprise software company in the world.
Values are OCI&rsquo;s foundation and how we deliver excellence. We strive for equity, inclusion, and respect for all. We are committed to the greater good in our products and our actions. We are constantly learning and taking opportunities to grow our careers and ourselves. We challenge each other to stretch beyond our past to build our future.
You are the builder here. You will be part of a team of really smart, motivated, and diverse people and given the autonomy and support to do your best work. It is a dynamic and flexible workplace where you&rsquo;ll belong and be encouraged. 
</div></div></div>Career Level - M3</div>
 <div>Responsibilities:
As an engineering manager at OCI, you will own:
 <ul><li>Engineering and project management. You'll work with customers and stakeholders to understand their feature requirements and pain points. You'll build roadmaps and make priority tradeoffs to deliver those features. Plan and drive engineering projects to successfully deliver that value to our customers, while managing risks and blockers along the way. You'll take large, technically complex projects and break them down into manageable pieces, develop actionable plans and successfully deliver them are expected.
</li></ul><ul><li>People management. You'll handle coaching and performance-management for the engineers on your team. You'll forecast staffing needs, and then work with our recruiting teams to hire those positions.
</li></ul><ul><li>Process improvement. You'll work across engineering teams to identify and resolve systemic problems and bottlenecks, to improve our overall engineering velocity and efficiency.
</li></ul><ul><li>This role is inherently cross-functional and requires the ability to collaborate with PM team and other teams across OCI Core Service teams (Compute, Storage, Network)
</li></ul>Qualifications:
<ul><li>4+ years of engineering management and people management experience
</li></ul><ul><li>5+ years in leading large cross-functional projects, operating large-distributed services in cloud environments
</li></ul><ul><li>5+ years of owning/driving roadmap strategy and definition
</li></ul><ul><li>Bachelor's degree in computer science or related engineering field
</li></ul><ul><li>Strong technical knowledge in distributed systems, high performance computing, and GPU systems. Proven industry expert in high scalability, availability, low-latency domains
</li></ul><ul><li>Excellent organizational, verbal, and written communication skills
</li></ul><ul><li>Experience working in cloud platform(s) (AWS, OCI, GCP, Azure etc).</li></ul></div>

Software Development Manager

MacDonald-Miller Facility Solutions

<div>At MacDonald-Miller Facility Solutions (&ldquo;MacMiller&rdquo;), the Northwest&rsquo;s leading mechanical contracting firm, we design, deliver, and service HVAC, plumbing, and automation system solutions for commercial buildings. With more than 1,400 employees across ten offices, there&rsquo;s a breadth and variety of work to keep you engaged and inspired.
We have a well-respected history of exceeding our customers&rsquo; expectations and executing with distinction. Our clients trust their toughest projects to our integrated teams, including:<ul><li>
New Construction &ndash; Engineering, fabrication, and installation of mechanical systems for new projects, following lean construction practices.</li><li>
Special Projects &ndash; Retrofits and mechanical repairs for existing buildings to create new efficiencies.</li><li>
Service &ndash; Scheduled preventive maintenance ensuring tenant comfort and 24/7 emergency response.</li><li>
Building Performance &ndash; Control systems, fault detection, energy services, and remote monitoring.</li><li>
Energy &amp; Sustainable Solutions - Acting as the Prime Contractor, we deliver design-build, energy-efficient solutions in the built environment for both private and public sector clients.</li></ul>
People love to work at MacDonald-Miller because we all share the same Core Culture Values:
Collaboration &ndash; Diverse players, one team, a common vision. Collaboration is our foundation and critical to the success of the company. Every team member is valued and brings unique strengths that help us achieve our shared vision.
Dedication &ndash; We are dedicated to personal and professional excellence. We execute with distinction by doing the right thing and following through on our commitments.
Safety &ndash; Everyone deserves a safe workplace. Safety is more than hard hats and boots; it&rsquo;s an attitude and an environment we create. Every day, everyone goes home to their families.
Community &ndash; We are proud to be part of MacDonald-Miller. We actively seek to build relationships and know each other as individuals. Together, we create an environment that is welcoming, caring, and trusting.
Innovation &ndash; We are committed to continuous, creative problem-solving. Innovation is how we stay an industry leader. We always strive to challenge and better ourselves.
Fun! &ndash; Taking the work seriously but never taking ourselves too seriously. It&rsquo;s possible to be both serious professionals and good-natured people you enjoy working with &mdash; we strive to be both. 
Requirements 
Project Engineer: This is where you come in.
We&rsquo;re seeking Project Engineers who thrive in a team environment, working alongside both office and field employees to deliver large-scale projects. Whether you&rsquo;re creatively tackling the challenges of renovating an existing system or helping a brand-new building come to life, you&rsquo;ll play a key role in driving project success. In return for your hard work and ability to meet ambitious goals, you&rsquo;ll be rewarded with increased responsibility, significant growth opportunities, and a level of autonomy that empowers you to excel.
The Project Engineer role reports to one of our Senior Project Managers and is part of a collaborative team handling a variety of high-impact projects. This highly visible position offers the opportunity to engage with all levels and functions across the organization, making a meaningful impact on our growing business.
Top 3 things to deliver in the first year to be a hero:<ul><li>
Master HVAC and Plumbing Systems &ndash; Deepen your expertise by studying HVAC and plumbing systems and learning from the highly skilled professionals around you.</li><li>
Support Project Execution &ndash; Assist with preparing subcontracts, purchase orders, project correspondence, field questions, and job write-ups to understand the full lifecycle of a building project.</li><li>
Manage Scheduling and Logistics &ndash; Oversee job progress by tracking equipment and material deliveries to ensure projects stay on schedule.</li></ul>
Your Background: What kind of person will thrive in this role?
You should have&hellip;<ul><li>
A proven ability to deliver high-quality, detail-oriented work - whether in school, extracurriculars, or previous jobs.</li><li>
A strong interest in and natural aptitude for mechanical systems.</li><li>
A bachelor's degree in mechanical engineering, construction management, or a related field- or equivalent experience.</li></ul>
And everyone you work with should describe you as&hellip;<ul><li>
Highly motivated and hardworking.</li><li>
Collaborative and easy to work with.</li><li>
Adaptable and quick to adjust to changing priorities.</li><li>
Skilled at balancing attention to detail with a big-picture perspective.</li></ul>
And you should be motivated by&hellip;<ul><li>
Seeing a large project come to life - balancing day-to-day tasks with long-term goals.</li><li>
Taking initiative to learn and solve problems independently - this isn&rsquo;t the place for handholding or micromanagement.</li><li>
Thriving in a fast-paced, results-driven environment where you&rsquo;ll be encouraged to take on more and achieve more each year.</li><li>
Enjoying a fun, transparent workplace that values innovation and fosters a supportive, team-oriented culture.</li></ul> 

Benefits 
Compensation: $83,000 to $108,000 Annually
MacDonald-Miller Facility Solutions presently provides employee coverage for:<ul><li>
Medical, dental, vision for employees (coverage available for dependents for shared premium).</li><li>
401k retirement plan including Company matching.</li><li>
Vacation and Sick Compensation (PTO), and Holiday Pay!</li><li>
Disability income protection including short term and long-term disability.</li><li>
Employee and dependent life insurance.</li><li>
Wellness Program.</li><li>
Employee Assistance Program.</li></ul>
Where you will work
Our Seattle HQ office (17930 International Blvd, SeaTac, WA 98188) has easy access to the SeaTac International Airport, ample secured parking, and newly renovated office facilities - not to mention great views! Neighborhood amenities include an onsite deli, restaurants, and convenient freeway/airport access.
Interested in learning more?
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MacDonald-Miller Facility Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.</div>

Project Engineer

TikTok

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 Responsibilities
 
 
 About the team
 
 E-commerce's Governance and Experience at TikTok is a global team responsible for ensuring our marketplace is safe and trustworthy not only for our users, but also for sellers and creators. We value user satisfaction and work on policies, rules and systems to ensure quality. We are looking for an experienced technical product manager to drive seller and creator governance product strategies and solutions for TikTok Shopping in North America regions.
 
 
 As a product manager on our E-commerce team, you will work with teams of engineers, data scientists, operations, product policies and various relevant internal teams to build safety product features and strategies. You will be working on governance and ecosystem features, technical strategies to improve TikTok shopping, as well methods to detect and address risky behaviors and actors in TikTok E-commerce ecosystem.
 
 
 Responsibilities
 
 - Lead product vision and strategize for the listing governance vertical.
 
 - Create metrics to gauge feature success, analyze outcomes, and collaborate cross-functionally to devise action plans and enhancement proposals.
 
 - Drive complex projects independently, define creator eligibility and creator risk product strategies and roadmap, set metrics that inform the success of creator governance efforts, and work with engineering teams to implement the product solutions.
 
 - Prepares product requirements documents and recommendations with prototypes and wireframes based on an indepth understanding of creator experience and data points
 
 - Partner with Policy and Operations teams to create and build product features and solutions to enable creators for e-commerce and reduce risks associated with creators in the ecosystem.
 
 - Work closely with the creator growth and product teams, as well as cross-functional partners, to establish a workflow to critically analyze, prioritize, and drive cross-functional efforts to achieve success
 
 - Leverage a data driven approach to continuously optimize and innovate risk detection and mitigation processes, automate enhancement actions and reduce errors and manual moderation
 
 
 
 Qualifications
 
 
 Minimum Qualifications
 
 - 3+ years of experience in product management in Consumer-Facing mobile or web Internet companies
 
 - Experience and expertise in building risk features or managing risk programs at a consumer focused technology company
 
 - Ability to design product solutions based on evidence; proven track record of delivering value-adding products, and/or organizational or process changes that benefit the business.
 
 - Broad technical knowledge and indepth understanding of Machine Learning, statistical modeling, algorithms, OCR and ASR, etc
 
 - Proven track record of delivering results in a fast-paced, dynamic environment, and driving innovation on behalf of internal and external stakeholders
 
 - Strong analytical and quantitative skills with the ability to use data and metrics to evaluate assumptions, make recommendations and decisions, and drive execution.
 
 
 Preferred Qualifications
 
 - Understanding of and passion for e-commerce and retail
 
 - Knowledge of user generated content platforms and LIVE streaming is a plus
 
 - Strong analytical capabilities and ability to interpret data into actionable insights
 
 - Excellent communication skills and ability to communicate technical concepts to non-technical stakeholders and audience
 
 - Flexible and experienced in project management, can lead and operate multiple project streams confidently
 
 
 
 About TikTok
 
 
 TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.&ZeroWidthSpace;
 
 
 
 
 Why Join Us
 
 
 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.&ZeroWidthSpace;
 
 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 "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.&ZeroWidthSpace;
 
 &ZeroWidthSpace;
 
 Diversity &amp; Inclusion&ZeroWidthSpace;
 
 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.&ZeroWidthSpace;
 
 
 
 
 TikTok Accommodation
 
 
 TikTok 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/RA-request&ZeroWidthSpace;
 
 
 
 
 Job Information
 
 
 【For Pay Transparency】Compensation Description (Annually)
 
 The base salary range for this position in the selected city is $176320 - $296020 annually.&ZeroWidthSpace;
 
 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.&ZeroWidthSpace;
 
 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).&ZeroWidthSpace;
 
 The Company reserves the right to modify or change these benefits programs at any time, with or without notice.&ZeroWidthSpace;
 
 For Los Angeles County (unincorporated) Candidates:&ZeroWidthSpace;
 
 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:&ZeroWidthSpace;
 
 1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;&ZeroWidthSpace;
 
 2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and&ZeroWidthSpace;
 
 3. Exercising sound judgment.&ZeroWidthSpace;
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TikTok Shop - Product Manager, Creator and Content Governance

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