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An AI Security Analyst plays a crucial role in protecting artificial intelligence systems, models, and data against potential cyber threats. With the rapid adoption of AI across industries, ensuring the security and ethical use of these technologies has become a top priority. This role combines expertise in cybersecurity, data protection, and AI model risk management to create a safe digital environment for organizations.

The AI Security Analyst is responsible for identifying, analyzing, and mitigating security risks in AI and machine learning pipelines. This includes safeguarding sensitive datasets, monitoring for adversarial attacks, and implementing robust access controls. The analyst also evaluates vulnerabilities in algorithms and AI-powered applications to prevent exploitation.

Collaboration is a key aspect of this position. The analyst works closely with data scientists, AI engineers, and cybersecurity teams to establish secure frameworks for AI development and deployment. By integrating security best practices into each stage of the AI lifecycle, they ensure that models are both effective and resilient against threats.

Additionally, the AI Security Analyst leads efforts in compliance and governance. This includes aligning with industry regulations, ethical AI standards, and privacy laws to maintain trust and transparency. Incident response planning and threat modeling are also central responsibilities, helping organizations stay prepared for potential breaches.

The ideal candidate for this role has strong knowledge of cybersecurity principles, machine learning risks, and ethical AI practices. With a proactive mindset and problem-solving approach, the AI Security Analyst contributes significantly to organizational resilience and ensures that AI innovations are secure, reliable, and responsibly managed.

Job Summary

We are seeking an experienced and highly motivated AI & Machine Learning Manager to lead our AI initiatives and manage a team of data scientists and machine learning engineers. The ideal candidate will be responsible for designing, developing, and deploying scalable AI solutions that drive business growth and innovation.

This role requires a strong technical background in machine learning, deep learning, and data engineering, along with proven leadership and strategic planning skills.

Key Responsibilities

• Lead and manage the AI and machine learning team

• Design and implement advanced machine learning and deep learning models

• Oversee the complete ML lifecycle including data collection, preprocessing, model development, validation, deployment, and monitoring

• Collaborate with product, engineering, and business teams to translate business problems into AI solutions

• Ensure model scalability, reliability, and performance optimization

• Implement best practices for data governance, model versioning, and documentation

• Monitor emerging AI technologies and recommend innovative solutions

• Mentor junior team members and conduct technical reviews

• Present insights and project outcomes to senior leadership

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or related field

• 6+ years of experience in machine learning, AI development, or data science

• Strong expertise in machine learning algorithms and neural networks

• Hands on experience with TensorFlow, PyTorch, or similar frameworks

• Strong programming skills in Python

• Experience with cloud platforms such as AWS, Azure, or Google Cloud

• Knowledge of data preprocessing, feature engineering, and model evaluation techniques

• Experience deploying ML models into production environments

• Strong leadership and team management skills

Preferred Skills

• Experience with NLP, Computer Vision, or Generative AI

• Knowledge of MLOps tools and CI/CD pipelines

• Strong understanding of big data technologies

• Excellent problem solving and analytical skills

• Strong communication and stakeholder management skills

What We Offer

• Competitive salary package

• Opportunity to lead innovative AI projects

• Collaborative and growth focused work environment

• Career advancement opportunities

About Quora:

Quora’s mission is to grow and share the world’s knowledge. To do so, we have two knowledge sharing products:

• Quora: a global knowledge sharing platform with over 400M monthly unique visitors, bringing people together to share insights on various topics and providing a unique platform to learn and connect with others.
• Poe: a platform providing millions of global users with one place to chat, explore and build with a wide variety of AI language models (bots), including o3, o4-mini, Claude 3.7 Sonnet, GPT Image 1 and more. As AI capabilities rapidly advance, Poe provides a single platform to instantly integrate and utilize these new models.

Behind these products are passionate, collaborative, and high-performing global teams. We have a culture rooted in transparency, idea-sharing, and experimentation that allows us to celebrate success and grow together through meaningful work. Join us on this journey to create a positive impact and make a significant change in the world. This role will be working on our Poe product.  

About the Team and Role:

We are looking for a talented Senior Backend Engineer to join the Creators team to help shape the future of Poe, our rapidly growing AI product. In this role, you'll work at the forefront of the AI ecosystem to empower bot creators and developers. You’ll build abstractions and tooling to accelerate bot onboarding, collaborate directly with leading LLM providers to integrate their latest advancements, and improve our external API to support a thriving developer ecosystem. This is a high-impact role with direct visibility into how creators build and scale on Poe. Check out some of the amazing bots our Creators team has recently launched, in collaboration with our cutting-edge LLM partners!

• https://poe.com/blog/report-early-2025-ai-ecosystem-trends

As a senior engineer, you’ll drive feature planning and backend implementation, while contributing to a fast-paced, cross-functional product cycle. If you’re passionate about AI, excited by emerging technologies, and eager to work on a platform with global reach, we’d love to hear from you.  

Responsibilities:

• Collaborate closely with cross-functional teams (design, product, data science, QA, and engineering) to advise on product roadmap and create innovative features and user experiences for bot creators
• Iterate on our developer APIs using best practices for performance and reliability
• Be a champion for both user experience and for sustainable, scalable code practices
• Collaborate closely with LLM providers to easily integrate new LLMs on Poe
• Participate in on-call responsibilities to ensure Poe provides a reliable and high quality product

 

Minimum Requirements:

• Availability for meetings and impromptu communication during Quora's “coordination hours" (Mon-Fri: 9am-3pm Pacific Time)
• A passion for learning and always improving yourself and the team around you
• Strong communication and interpersonal skills

 

Preferred Requirements:

• Passion for Poe and Quora's products and mission
• Passionate about API design, the developer ecosystem and overall developer experience
• Passion for code quality and designing elegant systems

  At Quora, we value diversity and inclusivity and welcome individuals from all backgrounds, including marginalized or underrepresented groups in tech, to apply for our job openings. We encourage all candidates who share a passion for growing the world’s knowledge, even those who may not strictly meet all the preferred requirements, to apply, as we know that a diverse range of perspectives can have a significant impact on our products and our culture.  

Additional Information:

We are accepting applications on an ongoing basis. Quora offers a wide range of benefits including medical/dental/vision coverage, equity refreshers, remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are country-specific and may vary. For more information on benefits, visit this link: https://www.careers.quora.com/benefits There are many factors that will determine the starting pay, including but not limited to experience, location, education, and business needs.

• US candidates only: For US based applicants, the salary range is $155,656 - $225,160 USD + equity + benefits.
• Canada candidates only: For Toronto and Vancouver based applicants, the salary range is $202,383 - $278,361 CAD + equity + benefits. For all other locations in Canada, the salary range is $188,891 - $259,803 CAD + equity + benefits.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Job Applicant Privacy Notice: https://www.careers.quora.com/applicant-privacy-notice

• Identify trends, advise company and recommend actions to management based on sound analysis.
• Support process improvement and policy development initiatives that impact Finance, with support to other departments requiring guidance from direct manager.
• Provide creative alternatives and recommendations to reduce costs and improve financial performance.
• Assemble and summarize data to structure sophisticated reports on financial status and risks.
• Develop financial models, conduct benchmarking and process analysis.
• Conduct business studies on past, future and comparative performance and develop forecast models.
• Track and determine financial status by analyzing actual results in comparison with forecasts.
• Reconcile data by comparing and correcting financial and operational records.

• Bachelor’s degree in finance or business administration or equivalent job-related experience.
• At least 2 years of related work experience as a financial analyst.
• Intermediate to expert Excel and Google Sheets skills.
• Experience with Oracle, Looker, or other financial software or reporting systems preferred.

• Reliable internet access is required.
• Sitting/standing at a desk working on a computer for long periods of time.

• Competitive pay and benefits including medical, vision*, dental, and life insurance
• Employee Assistance Program
• Pet insurance* and Virtual vet care
• PTO, Holidays, Floating Holidays, and Volunteer Day
• Retirement Savings Plan (401k/ RRSP) with employer matching program
• Paid parental leave
• Flexible scheduling and remote work where possible
• The opportunity to join one of our Associate Resource Groups, and fun company events!

• For Canadian based associates these specific benefits are not included

Job Overview

We are looking for a highly skilled AI Engineer to design, develop, and deploy Artificial Intelligence and Machine Learning solutions. The ideal candidate should have strong experience in building intelligent systems, data modeling, and deploying scalable AI applications in production environments.

Key Responsibilities

• Design and develop AI/ML models for real-world business problems

• Build, train, and optimize machine learning algorithms

• Develop deep learning models using TensorFlow / PyTorch

• Deploy AI models into production environments (cloud/on-premise)

• Work with large datasets for preprocessing, cleaning, and feature engineering

• Collaborate with Data Scientists, Data Engineers, and Product Teams

• Implement NLP, Computer Vision, or Predictive Analytics solutions

• Monitor model performance and improve accuracy

• Stay updated with latest AI trends and technologies

Required Skills & Qualifications

• Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related field

• Strong programming skills in Python

• Experience with ML libraries (Scikit-learn, TensorFlow, PyTorch)

• Knowledge of Deep Learning, NLP, or Computer Vision

• Experience with cloud platforms (AWS / Azure / GCP)

• Understanding of APIs and model deployment

• Strong problem-solving and analytical skills

Preferred Skills (Bonus)

• Experience with Generative AI / LLMs

• MLOps and model deployment experience

• Knowledge of Docker & Kubernetes

• Experience with big data tools (Spark, Hadoop)

What We Offer

• Competitive salary

• Career growth opportunities

• Exposure to cutting-edge AI projects

• Flexible working environment

Job Description This position within the Division of Marketing’s Digital Team joins a team of front-end and back-end web developers and platforms team to help host, secure, and maintain the central web presence of Syracuse University. The DevOps Specialist will work in collaboration w/Marketing Technology & Web Development Teams to assist with on-premise and cloud containerized deployments. This position is responsible for assisting the development team to automate the implementation, testing, and deployment of products into a runtime environment in a reliable and efficient manner. This position is part of a high performing team providing a stable and reliable web hosting environment for various websites for Syracuse University, including flagship channels (www.syracuse.edu), schools and colleges, and business units. The DevOps Specialist works with central IT to ensure proper security, code review and University development best practice is followed. The DevOps Specialist will have trusted access to production, development and testing environments. This includes high-visibility properties in the central marketing portfolio in addition to hundreds of other websites that are hosted using the university’s web hosting platform. The scope of services in these responsibilities includes web, application, database and legacy systems. Education and Experience

• Bachelors degree or equivalent amount of education and work experience.
• One (1) plus years of work experience related to software development and containerized applications with a focus on CI/CD and application monitoring.

Skills and Knowledge

• Experience with DevOps (CI/CD) pipeline concepts and tools such as GitHub, Gitlab, Docker, and Jenkins.
• Experience with one or more scripting languages (Bash, Python, Go).
• Understanding of Infrastructure as Code (IaC) tools such as Terraform or Pulumi.
• Familiarity with configuration management systems (Ansible) to automate infrastructure provisioning and application deployment tasks across varied language stacks.
• Proficient in source code management using Git, including branching strategies, merging workflows, and code reviews for projects in Python, PHP, JavaScript, and SQL.
• Familiarity with various methods to audit site performance, monitor uptime and prevent intrusion preferred.
• Knowledge of networking fundamentals and experience troubleshooting web server connections and routing.
• Familiarity with AWS, Azure, or other cloud hosting preferred.
• Experience with WordPress, Django, and identity providers, such as Azure Entra.
• Experience documenting systems, architecture and solutions.
• Excellent communication skills, the ability to work well with others and independently as necessary.
• Ability to prioritize projects, evaluate requests and offer solutions.

Responsibilities

• Work with web development and marketing technology/platform teams to assist with assist with on-premise and cloud containerized deployments, automating the implementation, testing, and deployment of products into a runtime environment in a reliable and efficient manner.
• Work with central IT to ensure proper security, code review and University development best practice is followed.
• Break/fix incident response and support of division, campus community, and external vendor partners.
• Craft process, best practice and support documentation as required.
• Quality assurance (QA) test sites and systems in collaboration with web development team for functionality and accessibility.

Physical Requirements Not Applicable Tools/Equipment Not Applicable Application Instructions In addition to completing an online application, please attach a resume and cover letter. About Syracuse University Syracuse University is a private, international research university with distinctive academics, diversely unique offerings, and an undeniable spirit. Located in the geographic heart of New York State, with a global footprint, and over 150 years of history, Syracuse University offers a quintessential college experience. The scope of Syracuse University is a testament to its strengths: a pioneering history dating back to 1870; a choice of more than 200 majors, 100 minors, and 200 advanced degree programs offered across the University’s 13 schools and colleges; over 15,000 undergraduates and over 6,000 graduate students; more than a quarter of a million alumni in 160 countries; and a student population from all 50 U.S. states and 123 countries. About The Syracuse Area Syracuse is a medium-sized city situated in the geographic center of New York State approximately 250 miles northwest of New York City. The metro-area population totals approximately 500,000. The area offers a low cost of living and provides many social, cultural, and recreational options, including parks, museums, festivals, professional regional theater, and premier shopping venues. Syracuse and Central New York present a wide range of seasonal recreation and attractions ranging from water skiing and snow skiing, hiking in the Adirondacks, touring the historic sites, visiting wineries along the Finger Lakes, and biking on trails along the Erie Canal. EEO Statement Syracuse University is an equal-opportunity, affirmative-action institution. The University prohibits discrimination and harassment based on race, color, creed, religion, sex, gender, national origin, citizenship, ethnicity, marital status, age, disability, sexual orientation, gender identity and gender expression, veteran status, or any other status protected by applicable law to the extent prohibited by law. This nondiscrimination policy covers admissions, employment, and access to and treatment in University programs, services, and activities. Commitment to Supporting and Hiring Veterans Syracuse University has a long history of engaging veterans and the military-connected community through its educational programs, community outreach, and employment programs. After World War II, Syracuse University welcomed more than 10,000 returning veterans to our campus, and those veterans literally transformed Syracuse University into the national research institution it is today. The University’s contemporary commitment to veterans builds on this historical legacy, and extends to both class-leading initiatives focused on making an SU degree accessible and affordable to the post-9/11 generation of veterans, and also programs designed to position Syracuse University as the employer of choice for military veterans, members of the Guard and Reserve, and military family members. Commitment to a Diverse and Inclusive Campus Community Syracuse University maintains an inclusive learning environment in which students, faculty, administrators, staff, curriculum, social activities, governance, and all other aspects of campus life reflect a diverse, multi-cultural, and international worldview. The University community recognizes and values the many similarities and differences among individuals and groups. At Syracuse, we are committed to preparing students to understand, live among, appreciate, and work in an inherently diverse country and world made up of people with different ethnic and racial backgrounds, military backgrounds, religious beliefs, socio-economic status, cultural traditions, abilities, sexual orientations and gender identities. To do so, we commit ourselves to promoting a community that celebrates and models the principles of diversity and inclusivity.

Job Summary

We are looking for an experienced AI & Data Science Manager to lead our artificial intelligence and advanced analytics initiatives. The ideal candidate will manage a team of data scientists and machine learning engineers, oversee AI model development, and drive data-driven decision-making across the organization. This role requires strong technical expertise in AI, along with leadership and strategic planning capabilities.

Key Responsibilities

1. AI Strategy & Leadership

• Define and execute AI and machine learning strategy aligned with business goals

• Identify high-impact AI opportunities across departments

• Collaborate with senior leadership to drive innovation through data

2. Team Management

• Lead, mentor, and manage a team of data scientists, ML engineers, and analysts

• Conduct performance reviews and skill development planning

• Promote a culture of collaboration and continuous learning

3. Model Development & Deployment

• Oversee end-to-end machine learning lifecycle

• Guide development of predictive models, deep learning systems, and AI solutions

• Ensure proper model validation, testing, and deployment

• Monitor model performance and implement optimization strategies

4. Data Governance & Compliance

• Ensure data quality, security, and compliance standards

• Implement best practices for data management and model documentation

5. Stakeholder Communication

• Translate complex AI concepts into business-friendly insights

• Present findings and recommendations to senior management

• Work closely with product, engineering, and business teams

Required Skills & Qualifications

• Bachelor’s or Master’s degree in Data Science, Computer Science, AI, or related field

• 6+ years of experience in Data Science / AI roles

• 2+ years of leadership or team management experience

• Strong knowledge of machine learning, deep learning, NLP, and AI algorithms

• Proficiency in Python, R, SQL

• Experience with frameworks like TensorFlow, PyTorch, Scikit-learn

• Experience in cloud platforms (AWS, Azure, or GCP)

• Strong problem-solving and strategic thinking skills

• Excellent communication and leadership abilities

Preferred Qualifications

• Experience managing large-scale AI deployments

• Knowledge of MLOps and model lifecycle automation

• Experience in big data tools such as Spark or Hadoop

• AI-related certifications

Key Performance Indicators (KPIs)

• Successful deployment of AI projects

• Improvement in business metrics through AI solutions

• Team productivity and innovation

• Model accuracy and performance benchmarks

Job Overview

We are seeking an experienced and strategic Data Science Manager to lead our data science team and drive data-driven decision-making across the organization. The ideal candidate will oversee analytics initiatives, manage machine learning projects, and ensure that data solutions align with business objectives. You will guide a team of data professionals, translate complex data into strategic insights, and build scalable analytics frameworks that support organizational growth.

Key Responsibilities:

Lead, mentor, and manage a team of data scientists and analysts.

Define and execute the organization’s data science strategy and roadmap.

Oversee the development, validation, and deployment of machine learning models.

Collaborate with cross-functional teams to understand business challenges and deliver data-driven solutions.

Ensure data quality, governance, and best practices in analytics processes.

Communicate complex insights and recommendations to senior leadership and stakeholders.

Monitor project timelines, deliverables, and performance metrics.

Stay updated with the latest advancements in AI, machine learning, and analytics

Required Skills & Qualifications:

Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or related field.

Strong expertise in Python, R, SQL, and machine learning techniques.

Experience leading and managing data science teams.

Deep understanding of statistical modeling, predictive analytics, and data engineering concepts.

Experience with data visualization tools such as Tableau, Power BI, or similar platforms.

Strong leadership, project management, and decision-making skills.

Excellent communication and stakeholder management abilities.

Preferred Skills:

Experience with deep learning frameworks such as TensorFlow or PyTorch.

Familiarity with cloud platforms like AWS, Azure, or GCP.

Knowledge of big data technologies such as Hadoop or Spark.

Experience working in agile project environments.

Benefits:

Competitive salary and performance-based incentives.

Flexible work environment.

Opportunities for leadership growth and advanced training.

Collaborative and innovation-driven work culture.

Qualifications

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or related field

• 5+ years experience in data science

• 2+ years in team leadership role

Key Responsibilities:

1. Environmental Monitoring & Lab Integration

• Design and manage data collection protocols using environmental sensors (e.g., for air quality, water pollution, soil composition).

• Collaborate with lab technicians to ensure accurate calibration and maintenance of monitoring equipment.

• Develop automated workflows to collect, clean, and store environmental data in real time.

2. AI & Machine Learning Application

• Build and apply AI/ML models to detect patterns, anomalies, or trends in environmental datasets.

• Use predictive modeling to anticipate environmental hazards such as pollution spikes, chemical leaks, or ecosystem degradation.

• Integrate AI models with real-time monitoring platforms for automated reporting and alerts.

3. Data Science & Visualization

• Conduct in-depth data analysis using Python, R, or MATLAB.

• Create interactive dashboards and visual reports using tools like Power BI, Tableau, or custom-built web apps.

• Collaborate with researchers, policy analysts, or engineers to translate data insights into actionable recommendations.

4. Cybersecurity & Data Protection

• Implement cybersecurity best practices to ensure the integrity, confidentiality, and availability of environmental data.

• Manage secure transmission protocols between sensor networks, cloud databases, and analysis platforms.

• Conduct risk assessments and establish security controls for IoT-connected environmental systems.

 

Required Qualifications:

• Bachelor’s or Master’s degree in Environmental Science, Data Science, Computer Science, Engineering, or a related field.

• Demonstrated experience with AI/ML tools and libraries (e.g., TensorFlow, scikit-learn, PyTorch).

• Knowledge of environmental monitoring systems and data types (e.g., EPA standards, IoT-based sampling).

• Strong programming and data handling skills (Python, SQL, R, or similar).

• Familiarity with cybersecurity practices and tools (e.g., secure API usage, encryption, basic network security).

Preferred Qualifications:

• Experience with cloud platforms like AWS, Google Cloud, or Azure for AI model deployment and data storage.

• Knowledge of geospatial tools (e.g., QGIS, ArcGIS, Google Earth Engine).

• Certifications or coursework in AI ethics, environmental regulations, or cybersecurity frameworks (e.g., NIST).

 

Key Soft Skills:

• Strong problem-solving ability and systems thinking mindset.

• Excellent written and verbal communication skills for interdisciplinary collaboration.

• Ability to manage multiple projects in a fast-paced, evolving tech-environment.

 

Work Environment:

• Hybrid role (field data acquisition + remote/cloud-based model development).

• Occasional travel to environmental sites or partner labs for on-site system integration.

• Team-oriented and often cross-disciplinary, involving coordination with ecologists, AI engineers, and policy experts.

We are seeking a motivated Data Science Analyst to join our team. The ideal candidate will transform data into actionable insights, support decision-making, and contribute to data-driven strategies across the organization. You will work with large datasets, perform statistical analysis, and develop reports and dashboards to help stakeholders make informed business decisions.

Key Responsibilities:

• Collect, clean, and analyze large datasets from multiple sources.

• Perform statistical analyses to identify trends, patterns, and correlations.

• Develop dashboards, visualizations, and reports for business teams.

• Collaborate with cross-functional teams to understand business requirements and provide data-driven solutions.

• Support the development of predictive models and machine learning projects.

• Communicate findings effectively to non-technical stakeholders.

• Monitor and improve the quality and integrity of data sources.

Required Skills & Qualifications:

• Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Mathematics, or related field.

• Strong knowledge of Python, R, or SQL.

• Experience with data visualization tools such as Tableau, Power BI, or Matplotlib.

• Solid understanding of statistics, probability, and data analysis techniques.

• Excellent problem-solving and analytical skills.

• Strong communication skills to present insights clearly.

Preferred Skills:

• Experience with machine learning frameworks (scikit-learn, TensorFlow, PyTorch).

• Familiarity with cloud platforms (AWS, Azure, GCP).

• Knowledge of big data tools (Hadoop, Spark).

• Prior experience in business analytics or a similar role.

Benefits:

• Competitive salary and performance bonuses.

• Flexible work environment and remote options.

• Opportunities for professional growth and training.

• Collaborative and innovative team culture.

We are seeking a skilled and innovative AI Engineer to design, develop, and deploy intelligent systems that simulate human intelligence. The ideal candidate will work on cutting-edge AI solutions such as chatbots, computer vision systems, recommendation engines, and predictive models.

You will collaborate with data scientists, software engineers, and business teams to build scalable AI-driven applications.

 Key Responsibilities

• Develop and implement deep learning and machine learning models

• Work on NLP (Natural Language Processing) and Computer Vision projects

• Design and optimize neural network architectures

• Integrate AI models into production systems and applications

• Perform data preprocessing, feature engineering, and model tuning

• Deploy AI models using cloud platforms and APIs

• Monitor and improve model performance

• Stay updated with the latest advancements in AI research and tools

 Required Skills & Qualifications

• Strong knowledge of Deep Learning and Neural Networks

• Experience with NLP or Computer Vision projects

• Proficiency in Python

• Experience with frameworks like TensorFlow or PyTorch

• Understanding of Machine Learning algorithms

• Knowledge of data preprocessing and model optimization

• Familiarity with cloud platforms (AWS, Azure, or GCP) is a plus

• Strong problem-solving and analytical skills

 Educational Requirements

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or related field

 Preferred Qualifications

• Experience in chatbot development or AI-based applications

• Knowledge of MLOps and model deployment

• Experience working with large datasets

• Research or published work in AI (optional but preferred)

 What We Offer

• Competitive salary

• Career growth opportunities

• Work on innovative AI projects

• Collaborative and dynamic work environment

Specialized Knowledge & Skills: • Solid understanding of Bootstrap framework. • Cloud Services: • Demonstrated experience with AWS services, including but not limited to KMS, Glue Catalog, Athena, IAM, S3, Logging (EMR, EC2, RDS). • Experience with GCP infrastructure platform. • Operating Systems: • Proficient in Linux operating systems. • Data Management: • Knowledge and understanding of ETL processes and Informatica. • Strong experience in debugging, identifying root causes, and solving application issues. • Database Administration: • 5+ years of experience in a DBA role, configuring and supporting multiple database platforms (PostgreSQL, MySQL, MS SQL Server, Oracle). • Experience in provisioning, upgrading, and tuning database services. • Familiarity with provisioning new database services, especially for production deployments. • Ability to provide guidance for efficient application design using database managed services. • Involvement in tuning exercises affecting application performance. • Review DDL prior to deployment if requested by the application team, without managing DDL on behalf of the application team. Qualifications: • 5+ years of experience in a DBA role, configuring and supporting a wide range of database platforms (Oracle, PostgreSQL, MySQL, MS SQL Server). • 5+ years of experience with cloud services (AWS, GCP). • Strong problem-solving skills and the ability to work both independently and collaboratively. • Excellent communication and collaboration skills.

- Currently enrolled in an accredited college or university Master's degree program. - Majoring in Computer Science, Statistics or a related STEM discipline. - Graduation date falls in May/June 2027 and beyond. - Ability to work year-round: part-time during the school year and full-time during the summer. - Living within commutable distance to Austin, TX and able to work in-person for all hours. The Jr. Applied Scientist role is a unique employment opportunity for students seeking to gain on-the-job applied science and machine learning experience and receive excellent mentoring while completing their education. Jr. Applied Scientists are immersed in an Amazon team and work on exciting, meaningful projects that impact real Amazon customers. Paired 1:1 with a Amazon Applied Science Mentor, Jr. Applied Scientists receive guidance and support in all aspects of their role: skill development, career advisement, project collaboration, and more! Upon successful completion of your degree and success in the Jr. Applied Scientist role, the opportunity for full-time employment will be available at the Amazon corporate site in Austin, TX. The Jr. Applied Scientist role is part of the Jr. Developer Program, a unique internship program in several respects: • We offer work year-round, part-time (16 hrs/week) while in school and full-time (40hrs/week) during summer. Working schedules are flexible and can be re-arranged each quarter to accommodate class schedules. • We offer excellent mentoring. Our full-time applied scientists, data scientists, business intelligence engineers, and software development engineers are willing and able to mentor exceptional student applied scientists, data scientists, SDEs, and BIEs. • Jr. Applied Scientists are given responsibilities and roles that prepare them to enter the workforce after graduation with “real world” applied science and machine learning experience. Jrs. who participate in the Jr. Developer Program routinely acknowledge the valuable learning experience created by the uniform excellence of their teams, mentoring offered by experienced Amazonians, and the challenge of being a principal contributor to science and software products. Key job responsibilities • Amazon applied scientists are specialists with the knowledge to help drive the scientific vision for our products. They are aware of the state-of-the-art in their respective field of expertise and are constantly focused on advancing that state-of-the-art for improving Amazon’s products and services. • As an Applied Scientist at Amazon, you will connect with world leaders in your field working on similar problems. You will be working with distributed systems of data and providing technical partnership to the product managers, teams, and organizations building machine learning solutions. You will be tackling Machine Learning challenges in Supervised, Unsupervised, and Semi-supervised Learning; utilizing modern methods such as deep learning and classical methods from statistical learning theory, detection, estimation. • This individual will analyze large amounts of data, discover and solve real world problems and build metrics and business cases around key performance of this program. • The ideal candidate will use a customer backwards approach in deriving insights and identifying actions we can take to improve the customer experience and conversion for the program.