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Key Responsibilities
Optimize tool performance to meet customer-specific process and integration requirements.
Access BU-based tools remotely to conduct process experiments and collect data.
Apply conceptual and practical expertise to solve complex process challenges.
Functional Knowledge
Business Expertise
Leadership
Problem Solving
Impact
Interpersonal Skills
These jobs might be a good fit

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Key Responsibilities
Optimize tool performance to meet customer-specific process and integration requirements.
Access BU-based tools remotely to conduct process experiments and collect data.
Apply conceptual and practical expertise to solve complex process challenges.
Functional Knowledge
Business Expertise
Leadership
Problem Solving
Impact
Interpersonal Skills

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Key Responsibilities
Develops, implements, and maintains methods, operation sequence and processes in the fabrication of parts, components, sub-assemblies and final assemblies.
Interfaces with other engineering functions to coordinate the release of product improvements and / or new products. Launches, releases, approves and implements or issues engineering change requests as required to support design engineering and floor with new and existing products. May interface with customers as required.
Estimates manufacturing cost, determines time standards and makes recommendations for tooling and process requirements. Leads and supports team projects to reduce product costs, improve quality, and enhance safety.
Maintains proactive communication with field engineering to identify and drive opportunities for product cost reduction, quality improvement, and safety enhancement, contributing to cross-functional initiatives that support continuous improvement.
Determines root cause and corrective action analysis for issues that arise during assembly and / or test of systems; provides failure analysis report as required.
Performs Process Failure Mode, Effects and Criticality Analysis when working with New Product Development.
Other Requirements:This position may require standing for extended periods of time, walking, working in tight spaces, bending, squatting, twisting, kneeling, reaching, lifting, the ability to distinguish between colors, the ability to work in an environment with noise that may be difficult for some individuals with sensitivity to noise, and the use of hand and power tools.
Additionally, because this position also may involve working in a clean room, the use of appropriate Personal Protective Equipment such as coveralls, hoods, booties, safety glasses, gloves, respirators, chemical aprons, and face shields may be required.
Functional Knowledge
Demonstrates expanded conceptual knowledge in own discipline and broadens capabilities
Business Expertise
Understands key business drivers; uses this understanding to accomplish own work
Leadership
No supervisory responsibilities but provides informal guidance to new team members
Problem Solving
Solves problems in straightforward situations; analyzes possible solutions using technical experience and judgment and precedents
Impact
Impacts quality of own work and the work of others on the team; works within guidelines and policies
Interpersonal Skills
Explains complex information to others in straightforward situations

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In this role you will:
* Publish your innovation in top-tier academic venues and hone your presentation skills.
* Be inspired by challenges and opportunities to invent cutting-edge techniques in your area(s) of expertise.
* PhD in a relevant field, received within 2 years of starting the program
* Proven publication record in Machine Learning, Robotics, Computer Vision, AI, Computer Science, Econ, Operations Research, or other related technical fields
* Experience in data science and quantitative research
* Proficiency in technologies relevant to the subfield
* Ability to independently deliver results in a fast-paced environment
* Publications at top-tier, peer-reviewed conferences and/or journals
* Exceptional verbal and written communication skills
* Expert knowledge in modeling and performance, operationalization, and scalability of scientific techniques and establishing decision strategies

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Every day will be filled with exciting new challenges, developing new skills, and achieving personal growth.
Key job responsibilities- Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation
- Write high quality code to retrieve and analyze data
- Understand data resources and how, when, and what to use (and what not to use).A day in the lifeAbout the team
If you’re insatiably curious and always want to learn more, then you’ve come to the right place. Depending on your location, country, job status and other requirements, some or all of the following benefits may be available to you as an intern.
- Competitive pay- Networking opportunities with fellow interns- Mentorship and career development
If you’re successful during your internship, you could be considered for a graduate role after finishing your university studies.Internship start dates vary throughout the year.
Internship length is ideally 6 months.
- Are enrolled in or have completed a Bachelor's degree in computer science, computer engineering, or related field
- Work 40 hours/week minimum and commit to 6 month internship maximum
- Are enrolled in or have completed a Master's degree in computer science, computer engineering, or related field
- Knowledge of BI analytics, reporting or visualization tools like Tableau, AWS QuickSight, Cognos or other third-party tools
- Experience with data querying or modeling with SQL or Excel
- Experience with SQL

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Key job responsibilities
1. Build Analytical Applications and Dashboards:
- Design and develop interactive, user-friendly analytical applications and dashboards to enable data-driven decision-making for ShipTech stakeholders.
- Integrate with various data sources and APIs to provide a comprehensive view of shipping operations and performance metrics.
- Implement advanced data visualization techniques and interactive features to enhance the user experience.
2. Ensure Operational Reliability and Scalability:
- Monitor the health and performance of the ShipTech analytics platform, proactively identifying and resolving issues to maintain high availability and responsiveness.
- Implement robust testing frameworks, continuous integration, and deployment processes to ensure the reliability and consistency of the platform.
- Partner with data scientists, product managers, and domain experts to understand business requirements and translate them into technical solutions.
- Participate in design discussions, code reviews, and knowledge-sharing sessions to align on best practices and architectural decisions.
- Provide technical guidance and mentorship to more junior engineers to foster a culture of continuous learning and improvement.
4. Drive Innovation and Continuous Improvement:
- Stay up-to-date with the latest trends and technologies in the data engineering and analytics space.
- Identify opportunities to enhance the ShipTech analytics platform, proposing and implementing innovative solutions to improve efficiency, scalability, and user experience.
- Contribute to the development of reusable components, libraries, and frameworks to accelerate future project delivery.
5. Ensure Compliance and Data Governance:
- Implement data security and access controls to protect sensitive information and comply with relevant regulations and policies.- Document architectural decisions, operational procedures, and best practices to maintain the long-term maintainability of the platform.
- Bachelor's degree in computer science or equivalent
- Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design, or experience in development in the last 3 years
- Experience designing or architecting (design patterns, reliability and scaling) of new and existing systems
- Experience troubleshooting and debugging technical systems
- Experience with AWS or cloud technologies
- Experience in delivering design solutions for projects of large scope and complexity
- Experience with explainable machine learning and artificial intelligence methodologies and tools
- Experience building web applications with React and modern web technologies

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Key job responsibilities
You will build collaborative relationships with sellers, software engineers, technical program managers, and product managers to support new feature launches, projects, and events like re:Invent. Using data analytics, you will create compelling and actionable insights to improve our operations and service quality for our customers.
Mentorship & Career Growth
On-Call Responsibility
- Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent work experience
- 4+ years of experience in a technical, hands-on, customer-facing role (such as Support Engineer, Technical Account Manager, or Network Systems Administrator)
- Experience with Linux or Windows system administration
- Experience with networking, virtualization, and cloud computing concepts
- Experience analysing complex data, identifying problems, and implementing solutions
- Working knowledge of AWS services and technologies (including EC2, S3, Lambda, Docker)
- Demonstrated time-management skills with ability to prioritise and make decisions in a fast-paced, data-driven environment
- Strong written and verbal communication skills, with ability to explain complex concepts to technical and non-technical audiences
- Working knowledge of shell, bash, or Python scripting
- One or more cloud certifications (AWS or Linux)

Key Responsibilities
Optimize tool performance to meet customer-specific process and integration requirements.
Access BU-based tools remotely to conduct process experiments and collect data.
Apply conceptual and practical expertise to solve complex process challenges.
Functional Knowledge
Business Expertise
Leadership
Problem Solving
Impact
Interpersonal Skills
These jobs might be a good fit