Junior AI Engineer - Industrial Foundation Models Job at BMW (Munich)

New

Sr. Manager, Data Science

As a Data Science Manager, you will lead the organization’s data science and AI ...

Location

United States , San Diego

Salary:

162000.00 - 242000.00 USD / Year

ResMed

Expiration Date

Until further notice

Requirements

8+ years of industry experience in Data Science, Machine Learning Engineering, or related fields
Master’s or PhD in Data Science, Machine Learning, Computer Science, Operations Research, Applied Statistics, Biomedical Informatics, or closely related disciplines
Proven experience managing and leading data science or AI teams, including mentoring junior members and developing team processes
Experience in productionization of AI models and collaboration with engineering for deployment and support
Excellent communication and stakeholder management skills
Proven ability to work across cross-functional teams and drive consensus on technical strategies and business priorities
Demonstrated expertise in model development, deployment, and performance evaluation for production-grade AI solutions
Strong foundation in probability, statistics, computer science, time series analysis, linear algebra, and discrete math
Extensive, practical experience applying advanced AI and machine learning methods—such as NLP, time-series analysis, computer vision, recommender systems, and reinforcement learning—using common algorithms, with a strong understanding of their real-world trade-offs in production settings
Extensive experience building and managing ETL pipelines and data workflows to handle large, complex structured and unstructured datasets, enabling their effective use in AI algorithm development

Job Responsibility

Stakeholder Engagement: Build strong partnerships with AI Product stakeholders, Product Management, Engineering, and business teams to identify business challenges, opportunities, and define requirements for AI solutions
AI Model Development Roadmap: Lead and continually refine the AI model development roadmap, ensuring alignment between technical strategy, business goals, and emerging opportunities
Risk Mitigation: Proactively identify and address AI-related risks, maintaining robust standards for model governance, compliance, and ethical deployment of AI solutions
Model Development Enablement: Anticipate and overcome challenges in data science projects by bridging gaps in technology, data, platforms, or skillsets to ensure teams have the resources and support needed for timely product delivery
Standardization of Experimentation: Establish and implement standardized processes for experimentation, including documentation, validation, and performance evaluation to ensure consistent, reproducible results
Technical Review and Guidance: Participate in code and model reviews, providing technical guidance to ensure model robustness and quality while identifying areas for improvement
Collaboration with Engineering: Partner with engineering teams to ensure smooth integration, scalability, and monitoring of AI models in production environments
Opportunity Analysis: Help stakeholders pinpoint key problem areas where AI solutions can deliver measurable impact, leveraging organizational data and advanced analytics
Team Leadership and Development: Mentor and empower a team of data scientists, fostering innovation and aligning technical skills with long-term AI strategy for impactful model delivery
Continuous Technical Strategization: Monitor industry and academic breakthroughs in AI to proactively set and evolve the technical roadmap, ensuring the team is prepared to deliver state-of-the-art solutions

What we offer

comprehensive medical, vision, dental, and life, AD&D, short-term and long-term disability insurance, sleep care management, Health Savings Account (HSA), Flexible Spending Account (FSA), commuter benefits, 401(k), Employee Stock Purchase Plan (ESPP), Employee Assistance Program (EAP), tuition assistance, Flexible Time Off (FTO), 11 paid holidays plus 3 floating days, eligible for 14 weeks of primary caregiver or two weeks of secondary caregiver leave

Fulltime

New

Senior Software Engineer

As a Senior Software Engineer in the AI Research & Solutions group, you will be ...

Location

United States , Menlo Park

Salary:

Not provided

OutSystems

Expiration Date

Until further notice

Requirements

Software Engineering Foundation: 5+ years of experience building production software, with demonstrated ability to own and deliver complex features end-to-end
Python Proficiency: Strong hands-on experience with Python
ability to write clean, maintainable, and performant code
AI/ML Systems Exposure: Practical experience working with LLMs, AI agents, or ML systems—whether in industry, research, or open-source projects
API & Integration Skills: Experience designing and consuming REST/gRPC APIs
understanding of distributed systems patterns (queues, event-driven architectures, microservices)
Cloud-Native Familiarity: Working knowledge of containerization (Docker), orchestration (Kubernetes), and cloud platforms (AWS, Azure, or GCP)
Strongly Preferred: Elixir/OTP Experience: Hands-on experience with Elixir and OTP patterns—GenServers, Supervisors, Applications, and Phoenix
Background Flexibility (We Value Diverse Paths): Academic Contributors Welcome: We value candidates from research backgrounds—whether you completed a PhD, contributed to open-source projects during your studies, or built software to support your research in mathematics, physics, philosophy, or computational sciences
Abstraction Thinkers: If you've written code that models complex systems—whether that's physics simulations, formal logic systems, or distributed algorithms—we want to hear from you

Job Responsibility

Agentic Application Development: Build Agent Components: Design and implement production-grade components for AI agents—tools, orchestration logic, memory systems, and integrations with enterprise data sources
Quality & Reliability: Own the quality of your deliverables, writing robust, well-tested code that operates reliably in production environments
Performance Optimization: Profile and optimize agent behavior, API latencies, and resource consumption to meet enterprise-scale demands
Integration & Systems Thinking: Bridge Systems: Develop connective tissue between AI agent backends and the OutSystems low-code platform, ensuring seamless data flow and secure API contracts
Abstraction Design: Contribute to the design of software abstractions that enable agents to reason about and interact with complex legacy systems and modern architectures alike
Cross-Functional Delivery: Collaborate with researchers, product managers, and platform engineers to translate requirements into working solutions
Mentorship & Technical Growth: Mentor Junior Engineers: Support the growth of engineers through code reviews, pairing sessions, and knowledge sharing
Continuous Learning: Stay current with advances in agentic AI, LLM orchestration frameworks, and systems engineering practices
Documentation: Contribute to internal best practices, architecture decision records, and onboarding materials

What we offer

A company that is always growing, changing, and innovating
Real career opportunities
Work colleagues that are as smart, hard-working, and driven as you
Disrupting the status quo is in our DNA
We ask “why” a lot
OutSystems nurtures an inclusive culture of diversity, where everyone feels empowered to be their authentic self and perform at their best

Fulltime

New

Technologist, Product Development Engineering – AI/ML Focus

Sandisk is seeking an accomplished Product Development Engineer with extensive e...

Location

United States , Milpitas

Salary:

159763.00 - 226355.00 USD / Year

Sandisk

Expiration Date

May 13, 2026

Requirements

Bachelor's or Master's degree in Electronics & Electrical Engineering/Computer Engineering, Data Science with 8+ years of experience in AI/ML development and application
Strong foundation in machine learning and statistical modeling
Experience with SQL and Python
Strong data handling and analysis libraries (e.g., NumPy, Pandas, scikit-learn)
Ability to work independently and collaboratively in a research-driven engineering environment
Excellent verbal and written communication skills
Experience in MLOps including CI/CD for ML, reliable deployment workflows, and managing the model at all stages of the lifecycle
Basic understanding or experience in design, production test, and NAND flash memory

Job Responsibility

Build and evaluate AI/ML models to analyze high volumes of semiconductor test data for yield optimization and test time reduction
Design end-to-end ML pipelines, including data preprocessing, feature engineering, model training, validation, and deployment
Lead and manage projects with accountability, technical proficiency, and a high degree of ownership
Provide mentorship to junior engineers by delivering technical guidance, sharing industry’s best practices, and facilitating their professional development
Explore physics-informed machine learning with white box models and interpretable AI
Collaborate with domain experts and product owners to translate business and manufacturing test problems into machine learning solutions
Share findings through technical reports, presentations, internal publications, or patents

What we offer

Short-Term Incentive (STI) Plan
Long-Term Incentive (LTI) program (restricted stock units or cash equivalents)
RSU awards for eligible new hires
Paid vacation time
Paid sick leave
Medical/dental/vision insurance
Life, accident and disability insurance
Tax-advantaged flexible spending and health savings accounts
Employee assistance program
Other voluntary benefit programs such as supplemental life and AD&D, legal plan, pet insurance, critical illness, accident and hospital indemnity

Fulltime

Applied Scientist

The Sponsored Products and Brands (SPB) team at Amazon Ads is re-imagining the a...

Location

United States , Seattle; New York; Palo Alto

Salary:

142800.00 - 223400.00 USD / Year

Amazon

Expiration Date

Until further notice

Requirements

PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
3+ years of building models for business application experience
Experience programming in Java, C++, Python or related language
Strong foundation in GenAI, large language models, machine learning, deep learning, probabilistic modeling, and/or optimization.
Experience developing and deploying models in real-world production environments.

Job Responsibility

Contribute to the design and development of GenAI, deep learning, multi-objective optimization and/or reinforcement learning empowered solutions to transform ad retrieval, auctions, whole-page relevance, and/or bespoke shopping experiences.
Collaborate cross-functionally with other scientists, engineers, and product managers to bring scalable, production-ready science solutions to life.
Stay abreast of industry trends in GenAI, LLMs, and related disciplines, bringing fresh and innovative concepts, ideas, and prototypes to the organization.
Contribute to the enhancement of team’s scientific and technical rigor by identifying and implementing best-in-class algorithms, methodologies, and infrastructure that enable rapid experimentation and scaling.
Mentor and grow junior scientists and engineers, cultivating a high-performing, collaborative, and intellectually curious team.

What we offer

health insurance (medical, dental, vision, prescription, Basic Life & AD&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
parental leave
sign-on payments
restricted stock units (RSUs)

New

Senior Software Engineer

Acorns is seeking a Senior Software Engineer to join our AI team! Are you passio...

Location

United States

Salary:

184500.00 - 217100.00 USD / Year

Acorns

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s Degree in Computer Science, Software Engineering, Data Science, Statistics, or a STEM-related field
5+ years of total software engineering experience
3+ years of experience in artificial intelligence, data science, or machine learning engineering
3+ years of experience with modern cloud computing technologies, such as AWS, Bedrock, Sagemaker, Databricks, or Kubernetes
Foundational knowledge with Generative AI, Transformer, fine tuning LLM, Search ranking, RAG improvement, and LLM Agent
Experience tuning neural networks on custom datasets.
Experience with Huggingface, LangChain, chatbot development
Proficiency in programming languages and analytical tools, such as Python or PyTorch, Pandas, NumPy, SciKit-Learn, Matplotlib
Hunger to deliver game-changing products
Exceptional drive and precision in delivery

Job Responsibility

Understand Acorns’ mission, vision, strategic objectives, and fintech industry knowledge while building relationships with team members, stakeholders, and cross-functional teams.
Review and analyze proprietary datasets, existing Vector database architecture, pipelines, and tools to identify gaps and propose improvements.
Contribute to key customer-facing projects, debugging and enhancing models, scaling pipelines, and delivering the virtual support bot MVP to production.
Collaborate with cross-functional teams to align AI efforts with business goals, mentor junior team members, and drive innovation through LLM capabilities.
Optimize data pipelines, establish scalable monitoring processes, and develop a roadmap for innovation aligned with fintech objectives.

What we offer

Competitive salary and stock options
A comprehensive benefits package for you and your family
Flexible work location, hours, and paid time off
401(k) matching
Monthly Acorns account contribution & GoHenry account for your family
Mindfulness and Financial Wellness resources, Headspace and Addition Wealth
Acorns Career Development Program (Ongoing training sessions, development plans, development check-ins, Cornerstone’s online training platform)
Roots Leadership Program for Emerging Leaders
Community week onsite gatherings and various virtual events

Fulltime

Full Stack Developer

Join our dynamic and agile team responsible for building LGT's cutting-edge Digi...

Location

Hong Kong , Hong Kong

Salary:

Not provided

LGT Gruppe Holding AG

Expiration Date

Until further notice

Requirements

Solid experience in full-stack development, with a strong emphasis on Python for backend and data engineering
Proficiency in modern frontend development using React/Next.js, HTML, and CSS
Experience with REST API development and designing/optimizing NoSQL (MongoDB) and RDBMS (PostgreSQL) databases
Familiarity with containerization (Docker) and orchestration (Kubernetes), and experience with CI/CD tools such as GitLab CI/CD
Understanding of microservices architecture and cloud-native application development
Able to master CI/CD practices and solutions, with a strong understanding of cloud environments (Azure preferred)
Experience or strong interest in AI-assisted development, AI frameworks, and system integration with AI models (e.g., Agent, MCP)
Knowledge of basic algorithms, object-oriented, and functional design principles and best practices patterns
Strong analytical, problem-solving, and troubleshooting skills with great attention to detail
Experience working in an Agile/Scrum environment and a familiarity with lean development principles

Job Responsibility

Design, develop, and test resilient, stateless, scalable, and reusable services and APIs primarily using Python for backend and data processing
Build highly responsive and intuitive user interfaces using React/Next.js, emphasizing design patterns, reusability, code quality, and secure coding practices
Collaborate closely with product managers, business analysts, and end-users to understand business needs, analyze problems, and propose innovative technical solutions that enhance functionality and user interaction
Architect and implement technical solutions that adhere to LGT's standards, deliver optimized client experience, and provide competitive advantage
Develop AI solutions (e.g., automation, chatbots, agent-based systems, MCP prototyping) and integrate them seamlessly with existing business systems to augment platform capabilities
Establish and maintain a robust shared data foundation, designing and optimizing databases (MongoDB, PostgreSQL) and writing effective APIs as a platform
Automate and enhance CI/CD pipelines using GitLab CI/CD, Docker, Kubernetes, and ArgoCD to ensure quality change, system responsiveness, and deployment efficiency for global reach
Develop multi-region deployment solutions, proactively addressing geo-specific compliance requirements and localization challenges
Ensure data integrity and security by implementing industry’s best practices and LGT's security standards
Drive and contribute to test automation efforts, ensuring quality at every stage of the development lifecycle

What we offer

Parental leave
Marriage leave
Childcare assistance
Annual leave
Support for external training and further education
Study leave
Long employee service awards
Staff referral awards
Life and accident insurance
Employee assistance program

Fulltime

Full Stack Developer

Join our dynamic and agile team responsible for building LGT's cutting-edge Digi...

Location

Hong Kong , Hong Kong

Salary:

Not provided

LGT Gruppe Holding AG

Expiration Date

Until further notice

Requirements

Solid experience in full-stack development, with a strong emphasis on Python for backend and data engineering
Proficiency in modern frontend development using React/Next.js, HTML, and CSS
Experience with REST API development and designing/optimizing NoSQL (MongoDB) and RDBMS (PostgreSQL) databases
Familiarity with containerization (Docker) and orchestration (Kubernetes), and experience with CI/CD tools such as GitLab CI/CD
Understanding of microservices architecture and cloud-native application development
Able to master CI/CD practices and solutions, with a strong understanding of cloud environments (Azure preferred)
Experience or strong interest in AI-assisted development, AI frameworks, and system integration with AI models (e.g., Agent, MCP)
Knowledge of basic algorithms, object-oriented, and functional design principles and best practices patterns
Strong analytical, problem-solving, and troubleshooting skills with great attention to detail
Experience working in an Agile/Scrum environment and a familiarity with lean development principles

Job Responsibility

Design, develop, and test resilient, stateless, scalable, and reusable services and APIs primarily using Python for backend and data processing
Build highly responsive and intuitive user interfaces using React/Next.js, emphasizing design patterns, reusability, code quality, and secure coding practices
Collaborate closely with product managers, business analysts, and end-users to understand business needs, analyze problems, and propose innovative technical solutions that enhance functionality and user interaction
Architect and implement technical solutions that adhere to LGT's standards, deliver optimized client experience, and provide competitive advantage
Develop AI solutions (e.g., automation, chatbots, agent-based systems, MCP prototyping) and integrate them seamlessly with existing business systems to augment platform capabilities
Establish and maintain a robust shared data foundation, designing and optimizing databases (MongoDB, PostgreSQL) and writing effective APIs as a platform
Automate and enhance CI/CD pipelines using GitLab CI/CD, Docker, Kubernetes, and ArgoCD to ensure quality change, system responsiveness, and deployment efficiency for global reach
Develop multi-region deployment solutions, proactively addressing geo-specific compliance requirements and localization challenges
Ensure data integrity and security by implementing industry’s best practices and LGT's security standards
Drive and contribute to test automation efforts, ensuring quality at every stage of the development lifecycle

What we offer

Parental leave
Marriage leave
Childcare assistance
Annual leave
Support for external training and further education
Study leave
Long employee service awards
Staff referral awards
Life and accident insurance
Employee assistance program

Fulltime

Staff Product Designer

Black Airplane is a digital product agency dedicated to solving complex business...

Location

United States

Salary:

108100.00 - 131486.00 USD / Year

Black Airplane

Expiration Date

Until further notice

Requirements

Design leader with 5-8 years of experience and a proven track record of shipping multiple large products and complex design systems
Strategic contributor who provides strategic input on design decisions and shapes broad architecture across client projects
Systems designer skilled at synthesizing complex business requirements, user research, and technical constraints into coherent design strategies
AI advocate who champions AI tool adoption across teams and develops AI-enhanced workflows that multiply team efficiency
Team multiplier who facilitates cross-team work and serves as a role model and mentor to all team members
Business contributor capable of accurate project estimation and active participation in pre-sales efforts to support client acquisition
Quality driver known for consistently delivering large systems involving multiple teams on time and with exceptional quality
Educational foundation with Bachelor's Degree in Design, Human-Computer Interaction, or equivalent industry experience demonstrating comprehensive design expertise
Extensive experience of 5-8 years in product design with demonstrated expertise & a supporting portfolio in UI and UX design principles across web and mobile platforms with multiple successful product launches
Advanced tool proficiency with expert-level Figma skills including design systems, design tokens, and engineer annotations, plus ability to anticipate broad technical changes

Job Responsibility

Lead design initiatives for highly complex client projects, anticipating product-level design issues and making strategic decisions to prevent them while providing strategic input that impacts long-term success
Champion AI tool adoption across the design team, developing AI-enhanced workflows, and training others on advanced AI prototyping techniques to multiply team effectiveness
Design complex systems involving multiple teams and stakeholders, mastering the full input-process-output (systems thinking) framework from business requirements to comprehensive developer handoff packages
Participate in pre-sales efforts to assess design feasibility and requirements, providing reliable project estimates that inform client proposals and resource planning
Facilitate cross-team collaboration by breaking down complex problems into solutions, knowns, and unknowns swiftly while serving as a role model for design excellence across all project teams
Drive process leadership by leading internal conversations about major design process directions, driving wide-team consensus and mentoring junior and senior designers to foster continuous learning

What we offer

Health Insurance
401K (with matching)
Macbook Pro
Learning Opportunities
Generous Time Off
Dental
Vision
Life Insurance
Company Computer
Work From Anywhere

Fulltime

Junior AI Engineer - Industrial Foundation Models

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 05, 2026

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