Intern Artificial Intelligence and Visual Computing Job at BMW (Munich)

Sr. Manager, Insights Delivery

The Sr. Manager, Insights Delivery will be responsible for leading the design, d...

Location

United States , Carmel

Salary:

130000.00 - 180000.00 USD / Year

Belden, Inc

Expiration Date

Until further notice

Requirements

Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, or a related field
7–10 years in analytics or BI delivery, including 5+ years leading teams or large-scale insights projects
Proven experience with Tableau (including Tableau AI), PowerBI, SAP Analytics, or similar platforms for enterprise-scale reporting
Strong grounding in data modeling, SQL, and modern analytics workflows
Understanding of data quality, metadata, and master data as foundations of trustworthy insights
Familiarity with how AI and machine learning can augment BI (forecasting, anomaly detection, natural-language insights)
Demonstrated success in leading cross-functional teams, managing stakeholders, and driving adoption of data tools
Ability to align insights delivery with business strategy—translating data into action and measurable outcomes

Job Responsibility

Lead the team responsible for building and maintaining dashboards, reports, and visualizations (Tableau, TableauAI, SAP Analytics, and other enterprise insights tools)
Deliver operational and analytical reporting that supports both daily execution and long-term strategic decision-making
Design and deliver integrated insights by combining multiple internal and external data sources to identify trends, correlations, and performance drivers across the business
Partner with Insights Strategy to evolve BI into AI-augmented analytics that anticipate needs and recommend actions
Evaluate and implement innovative insights tools and technologies to improve speed, usability, and depth of enterprise insights
Ensure data quality, governance, and integration across source systems by working closely with IT, data engineering, and governance teams
Go beyond business requirements to deliver comprehensive, enterprise-grade insights solutions—providing stakeholders not just with what they asked for, but with what they need to fully understand performance, root causes, and recommended actions
Monitor performance, adoption, and user satisfaction of insights tools, driving continuous improvement and value realization
Mentor and grow the insights delivery team in analytics methods, data storytelling, visualization standards, and emerging technologies

What we offer

Health/dental/vision
Long term/short term disability
Life insurance
HSA/FSA
Matching retirement plans
Paid vacation
Parental leave
Employee stock purchase plan
Paid leave for volunteer work in your community
Training opportunities

Fulltime

PhD Student AI Innovations

How do you imagine the car of the future - intuitive, connected, personal? And w...

Location

Germany , Wolfsburg

Salary:

Not provided

Volkswagen AG

Expiration Date

Until further notice

Requirements

Good to very good university degree qualifying for doctoral studies in computer science, business informatics, industrial engineering or a related field
extensive knowledge in the field of artificial intelligence, data analysis, statistics, human machine interface and user experience required
sound programming skills, preferably in Python, C++, R, MATLAB
strong initiative, willingness and ability to work in a team and structured way of working
strong communication and presentation skills
English language level B2 and German language level C1

Job Responsibility

Researching the current state of the art in the areas of embedded LLMs, SLMs, edge-to-cloud deployments, multimodal LLMs and action models
deriving legislative, safety-critical and geographical requirements for processing data in the automotive context, e.g. on the basis of use cases
developing architectural concepts for data processing onboard and in-cloud, taking into account hardware requirements, implementing an assistant that processes static and dynamic driver-vehicle environment information including acoustic, haptic and visual input as well as a framework and a software architecture
implementing and applying the concepts on defined hardware, conducting empirical investigations as well as evaluating and classifying the concepts
documenting and preparing research results for internal stakeholders and the scientific community

What we offer

Attractive salary & 30 vacation days (+ 24.12. and 31.12. off)
35-hour week, flexible working hours, remote work
special conditions for the purchase and leasing of vehicles
free seminars on scientific work and interdisciplinary qualifications
participation in the doctoral network for scientific exchange with science representatives and other doctoral candidates within the Volkswagen Group

Fulltime

Machine Learning/AI Research Engineer

Machine Learning/AI Research Engineer position focusing on advancing renewable o...

Location

Ireland , Galway; Dublin

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

PhD degree (or Master's with equivalent research and innovation experience) in a relevant discipline (e.g., computer science, software engineering, electrical engineering, math, physics, statistics, mechanical engineering, etc.)
Proven record of innovation with Deep Learning or with scientific and engineering computation involving the application of Machine Learning
Demonstrated experience with innovative solution development, developing proofs-of-concept, first-of-a-kind solutions, and technology transfer
Strong software development skills in Python and Pytorch
Strong application experience of Machine Learning with physical systems
Good understanding of digital twins, use of ML with Digital Twins, applications to sustainability
A strong science or engineering background with aptitude for system level analysis and modeling
Deep understanding of the relevant environment, ecosystem, trends, and literature
Excellent research and development skills
Ability to innovate, make research contributions, and bring ideas to reality in compelling ways

Job Responsibility

Develop and program integrated software algorithms to structure, analyze and leverage structured and unstructured data in product and systems applications
Work with large scale computing frameworks, data analysis systems, and modeling environments
Use machine learning and statistical modeling techniques to improve product/system performance
Formulate descriptive, diagnostic, predictive and prescriptive insights/algorithms and translate technical specifications into code
Apply, optimize and scale deep learning technologies and algorithms to give computers the capability to visualize, learn and respond to complex situations
Document procedures for installation and maintenance, complete programming, perform testing and debugging, define and monitor performance metrics
Provide thought leadership and technical influence internally and externally
Take innovative ideas and make them real – contributing along the full range from conception, to design, development, implementation, evaluation, and technology transfer
Collaborate with Hewlett Packard Labs' research teams and external partners

What we offer

Health & Wellbeing benefits
Personal & Professional Development programs
Unconditional Inclusion environment
Comprehensive suite of benefits supporting physical, financial and emotional wellbeing

Fulltime

AI Intern – Co-op Fall 2026

Exact Sciences is seeking an AI co-op intern to support our efforts in developin...

Location

United States , Madison

Salary:

35000.00 - 56000.00 USD / Year

Exact Sciences

Expiration Date

Until further notice

Requirements

Current student enrolled toward a degree in Computer Science, Artificial Intelligence, Data Science, or related field (Graduate level degree program preferred)
Demonstrated proficiency in Python and familiarity with AI frameworks such as TensorFlow, PyTorch, or scikit-learn
Understanding of machine learning fundamentals, including supervised and unsupervised learning
Legal authorization to work in the country of employment without current or future sponsorship

Job Responsibility

Assist in the development, training, and evaluation of AI and machine learning models, including natural language processing (NLP), computer vision, and generative AI applications
Support the integration of AI models into production environments, including data pipelines and APIs
Conduct data analysis, cleaning, and preparation to support model development and evaluation
Participate in AI research and literature review, identifying emerging techniques applicable to Exact Sciences’ initiatives
Visualize data and model outputs, communicating insights to both technical and non-technical audiences
Collaborate in Agile development cycles, contributing to iterative improvement of AI-driven products
Document methodologies, experiments, and results to ensure reproducibility and transparency
Uphold company mission and values through accountability, innovation, integrity, quality, and teamwork
Support and comply with the company’s Quality Management System (QMS) policies and procedures
Maintain regular and reliable attendance

What we offer

paid time off (including days for vacation, holidays, volunteering, and personal time)
paid leave for parents and caregivers
a retirement savings plan
wellness support
health benefits including medical, prescription drug, dental, and vision coverage

Fulltime

Software Engineer

Design and implement end-to-end Business Intelligence (BI) solutions, including ...

Location

United States , Sunnyvale

Salary:

264514.00 - 317417.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

Master's degree in Computer Science, Artificial Intelligence, or related field
Four years of experience in the job offered or in a related occupation
Managing production systems with high availability and strict SLA requirements
Cloud-based data platforms such as AWS, Kubernetes, or BigQuery
Java, Python, or SQL
Large-scale distributed systems (HDFS or YARN) and cloud infrastructure
Deep microservices planning, optimization techniques, and performance tuning

Job Responsibility

Design and implement end-to-end Business Intelligence (BI) solutions, including query generation, data governance, performance optimization, execution frameworks, analytics extraction, and visualization components
Develop and maintain scalable software systems that support a global analytics platform, enabling data-driven decision-making across various business units
Design and implement distributed, low-latency algorithms for interactive and large-scale data processing using technologies such as Presto, Spark, and MySQL
Build, enhance, and optimize core components of Uber’s BI ecosystem, including backend services, query engines, and interactive analytics tools
Optimize performance and scalability of cloud-based SQL BI solutions, with an emphasis on reducing latency and improving user experience
Collaborate with cross-functional teams, including data engineering, product management, and infrastructure, to define system requirements and deliver integrated solutions
Contribute to open-source initiatives, including participation in the Presto community, code contributions, technical talks, and developer engagement
Support internal users by troubleshooting issues, maintaining documentation, and ensuring the reliability and performance of analytics tools and services

What we offer

Eligible to participate in Uber's bonus program
Eligible for various benefits (details at link)

Fulltime

Level 3 Data Scientist

The Data Scientist at Woodside applies domain expertise, scientific acumen, math...

Location

India , Bengaluru

Salary:

Not provided

Randstad

Expiration Date

May 07, 2026

Requirements

Min. 3-year proven practical experience in Data Science across the end-to-end model development lifecycle, with machine learning and AI methods
Strong Python programming skills and experience with ML libraries (Pandas, NumPy, SciPy, scikit-learn, PyTorch/TensorFlow)
Demonstrated expertise in time-series analysis, anomaly detection, clustering, and general applied machine learning
Experience developing web applications (Dash, Streamlit) and APIs (Flask, FastAPI, or Django)
Experience with software engineering best practices (e.g. CI/CD principles under Agile Framework, version control, reproducible research, etc.)
Strong competency using AWS cloud services, including S3, Lambda, SageMaker, containerisation, and serverless execution
Strong documentation, communication, and collaboration capabilities
Strong problem-solving and critical thinking skills
Excellent documentation skills to ensure the sustainability of work
Quantitative analytics

Job Responsibility

Collaborate with business users, internal stakeholders and Digital teams to apply data science techniques to deliver value across the oil and gas value chain, understanding and shape client requirements, and translating them into Data Science actions
Contribute to data-driven data science project from end-to-end (i.e. problem identification to delivery)
Evaluate and apply data science concepts and techniques (e.g. predictive modelling, statistical inference, algorithms) to problems in oil and gas exploration and production domains
Communicate key assumptions, uncertainties, findings of statistical or technical analysis through reports, presentations and translate results back into business language
Utilizing machine learning, artificial intelligence, and data visualization techniques to identify trends, patterns, and anomalies in oil and gas data
Validate models using statistical and scientific methodologies, ensuring robustness, reproducibility, and interpretability
Develop predictive models, time-series forecasting methods, anomaly detection pipelines, clustering algorithms, and OCR or neural-network models as required
Collaborate with SMEs on analysis and modelling processes to solve challenging and high-impact problems in oil and gas exploration and production domains
Create documentation, develop and improve data science processes and best practices to ensure the sustainability of work
Contribute to successful implementation of solutions, ensuring training and knowledge transfer to stakeholders

!

Intern development & flight simulator integration

During your internship, you will work together with System Engineers in close co...

Location

Germany , Donauwörth

Salary:

Not provided

Airbus

Expiration Date

Until further notice

Requirements

Enrolled full-time student (d/f/m) in the area of computer science, aeronautical or mechanical engineering or an equivalent field of study
Experience in the fields of Software Engineering, Requirements Engineering and Control Engineering is desirable
First experience in the fields of Game Development, 3D Computer Graphics, User-centered Design/HMI or Artificial Intelligence Systems is desirable
Experience in flight operations is a plus
Fluent in English
Please upload the following documents: cover letter, CV, relevant transcripts, enrolment certificate

Job Responsibility

Refine the HMI application based on previous evaluation results and pilot feedback regarding automatic approach maneuvers in unprepared landing areas
Execute the technical integration of the HMI into the flight simulator’s hardware
Implement data interfaces between external trajectory planning software provided by project partners and the cockpit display systems
Develop complex simulation scenarios including dynamic obstacles, terrain, and flight data to stress-test the situational awareness functions
Validate system performance through structured test campaigns in the flight simulator, involving collaboration with pilots or flight test engineers
Analyze the synchronization of flight guidance algorithms with the visual feedback provided to the crew to ensure operational safety and reduced workload

What we offer

Attractive salary and work-life balance with a 35-hour week (flexitime)
International environment with the opportunity to network globally
Work with modern/diversified technologies
At Airbus, we see you as a valuable team member and you are not hired to brew coffee, instead you are in close contact with the interfaces and are part of our weekly team meetings
Opportunity to participate in the “Generation Airbus Community” to expand your own network

Fulltime

Data Engineer

As an Azure and Databricks Data Engineer, you will be responsible for designing,...

Location

Canada , Oshawa

Salary:

92.00 - 100.00 CAD / Hour

Morson Talent

Expiration Date

Until further notice

Requirements

Completion of a four-year University education in computer science, computer/software engineering or other relevant programs within data engineering, data analysis, artificial intelligence, or machine learning
Experience as a Data Engineer designing and building data pipelines
Fluent in creating data processing frameworks using Python, PySpark, SparkSQL and SQL
Experience with Azure Data Factory, ADLS, Synapse Analytics and Databricks
Experience building data pipelines for Data Lakehouses and Data Warehouses
Good understanding of data structures and data processing frameworks
Knowledge of data governance and data quality principles
Effective communication skills to translate technical details to non-technical stakeholders

Job Responsibility

Designing, building and supporting the data driven applications which enable innovative, customer centric digital experiences
Building reliable, supportable & performant data lake & data warehouse products
Employing best practice in development, security, and accessibility
Building and productionizing modular and scalable data ELT/ETL pipelines and data infrastructure
Building curated common data models designed by the Data Modelers
Working closely with infrastructure, and cyber teams and Senior Data Developers to ensure data is secure
Cleaning, preparing and optimizing datasets for performance
Supporting Business Intelligence Analysts in modelling data for visualization and reporting
Troubleshooting issues related to ingestion, data transformation and pipeline performance
Collaborating with Business Analysts, data scientists, Senior Data Engineers, data Data Analysts and, solution Architects and Data Modelers

Fulltime

Intern Artificial Intelligence and Visual Computing

BMW

Location:
Germany , Munich

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
January 16, 2026

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