PhD in Probabilistic Deep Learning Job at Airbus (München Area)

Staff Machine Learning Engineer

Have you ever ordered a car service on Uber, and when the ride arrives, wondered...

Location

United States , New York; Seattle; San Francisco; Sunnyvale

Salary:

232000.00 - 258000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

Masters or PhD or equivalent experience in Computer Science, Machine Learning, Operations Research, Statistics, or other related quantitative fields or related field
7 years minimum of industry experience as a Machine Learning Engineer/Research Scientist with a strong focus on deep learning and probabilistic modeling
Proficiency in multiple object-oriented programming languages (e.g. Python, Go, Java, C++)
Experience with any of the following: Spark, Hive, Kafka, Cassandra
Experience building and productionizing innovative end-to-end Machine Learning systems
Experience in exploratory data analysis, statistical modeling, hypothesis testing, and experimental design
Experience working with cross-functional teams(product, science, product ops etc)

Job Responsibility

Build statistical, optimization, and machine learning models
Develop innovative new earner incentives that earners for choosing our network and optimizing Uber’s new earner incentives spend
Optimize Uber’s background check spend and onboarding funnel
Design recommendation engines to recommend the most relevant earning opportunities and early lifecycle content
Develop matching algorithms for driver to driver mentorship program
Model and predict earner behaviors to improve earner experience throughout the onboarding funnel
Work closely with multi-functional leads to develop technical vision, new methodological approaches, and drive team direction
Collaborate with cross-functional teams such as product, engineering, operations, and marketing to drive ML system development end-to-end from conceptualization to final product

What we offer

Eligible to participate in Uber's bonus program
May be offered an equity award & other types of comp
Eligible for various benefits

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)

Principal Data Scientist

We are seeking a Principal Data Scientist with deep expertise in forecasting and...

Location

United States

Salary:

Not provided

Duetto

Expiration Date

Until further notice

Requirements

MS or PhD in Statistics, Econometrics, Computer Science, Operations Research, or a related quantitative field
10+ years of experience delivering impactful data science solutions in production environments
Expertise in time series forecasting, including classical methods (e.g., ARIMA, Exponential Smoothing, State Space Models) and deep learning (e.g., RNNs, Temporal Fusion Transformers)
Practical experience with Bayesian modeling, including hierarchical models and probabilistic programming (e.g., PyMC3, Stan)
Proficiency with ML/DL frameworks (e.g., PyTorch, TensorFlow, scikit-learn, DARTS) and programming languages (Python, R, SQL)
Familiarity with cloud platforms and MLOps tools (e.g., AWS SageMaker, MLflow) for scalable model development and deployment
Strong communication and presentation skills, capable of conveying complex analytical concepts to non-technical stakeholders
Experience designing model evaluation and impact measurement frameworks, including causal inference

Job Responsibility

Lead the design, development, and deployment of forecasting and pricing models using a blend of classical time series, deep learning and Bayesian statistical techniques
Develop hierarchical forecasting frameworks, including multi-level Bayesian models, that scale across thousands of hotel properties
Build uncertainty quantification frameworks to increase trust and robustness in forecasts
Guide model architecture choices—balancing complexity, interpretability, and operational feasibility
Collaborate closely with engineering to deploy and monitor models in production (e.g., using AWS SageMaker)
Translate model outputs into actionable insights in partnership with product and business stakeholders
Define and execute model performance measurement strategies, including causal inference and uplift modeling
Present findings, experimental results, and strategic recommendations to senior leadership

Senior Machine Learning Researcher - MSR AI for Science

At Microsoft Research AI for Science, we believe machine learning and artificial...

Location

United Kingdom , Cambridge

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

PhD or equivalent research experience in Computer Science, Machine Learning, Physics, Chemistry, or a related field
Demonstrated leadership in ML architecture and algorithm design
Strong expertise in deep learning (model design, large-scale training, evaluation and reproducibility), statistics and linear algebra
Proficiency in Python and modern ML/scientific frameworks (e.g., PyTorch, JAX, TensorFlow, NumPy, SciPy, Pandas)
Peer-reviewed publications in leading venues (e.g., NeurIPS, ICML, ICLR or leading journals)
Excellent technical communication for collaborating in an interdisciplinary team
Curiosity and drive to apply deep learning to problems in biology or chemistry
Comfort with real‑world, noisy/heterogeneous data

Job Responsibility

Invent novel deep learning techniques for models of (bio)molecular structure, dynamics, reactivity and function
Design, implement, and iterate on model architectures and training algorithms (e.g., diffusion/sequence–structure models, language models, representation learning)
run rigorous ablations and baselines
Define success where standards don’t exist yet: proposing sound benchmarks and uncertainty‑aware metrics that reflect real‑world utility
Build high‑quality research code (Python/PyTorch) with reproducible workflows and robust data pipelines
Partner across disciplines—communicate clearly with ML researchers and experimental/computational biologists/chemists
present results and influence direction
Work autonomously and as a team player, reporting insights, risks, and next steps with crisp written/visual summaries
Thrive with imperfect, heterogeneous data, using principled curation, augmentation, and probabilistic evaluation
Aim for impact: try ideas quickly and fail-fast when they don't work. Rapidly convert working ideas to artifacts others can use (code, models, datasets, papers, patents)

Fulltime

New

Senior Engineer, Packaging Engineering

Develop new process for NPI, transfer to HVM without major quality issues. Analy...

Location

Malaysia , Batu Kawan, Penang

Salary:

Not provided

Sandisk

Expiration Date

Until further notice

Requirements

Master's/Bachelor's Degree in Mechanical, Electrical, Electronics, Microelectronics, Mechatronics, Materials Science, or related engineering discipline
Proficiency in statistical data analysis and process simulation software
Strong attention to detail and commitment to achieving goals
Ability to adapt to changing priorities and work efficiently in a fast-paced environment
Strong troubleshooting and analytical skills with the ability to collect, organize, analyze, and understand problems and conceptualize solutions
Passion, determination to uncover the root cause and derive a long-term solution
Excellent communication and collaboration skills
Good at mind mapping and proficient in MS Excel, MS Project, and PowerPoint presentation
Understanding of SQL query writing (Oracle / Microsoft SQL Server) and JMP is a plus
Ability to communicate with different hierarchy levels from diverse geographical areas and cultures

Job Responsibility

Develop new process for NPI, transfer to HVM without major quality issues
Analyze and optimize existing manufacturing processes to enhance efficiency and product quality
Develop and implement process improvement initiatives using methodologies such as Six Sigma and Lean
Design and conduct experiments to troubleshoot process issues and validate improvements
Collaborate with cross-functional teams to drive continuous improvement projects
Monitor and analyze process data to identify trends and opportunities for enhancement
Develop and maintain process documentation, including standard operating procedures and work instructions
Ensure compliance with safety regulations and quality control standards
Participate in new product development and process scale-up activities
Provide technical support and training to production personnel

Fulltime

New

Lead Quality Inspector

Reporting to the Quality Supervisor, you will be responsible for performing visu...

Location

United States , Houston

Salary:

65000.00 - 70000.00 USD / Year

Celeros Flow Technology

Expiration Date

Until further notice

Requirements

NACE Level II Coatings required
Supervisory experience required
Experienced in use of precision inspection equipment (ex., mics, callipers. Etc) to measure dimensional details as listed on drawings
Knowledge in reading & interpret blueprints, including GD&T
Experience in using and programming of Articulated ARMs is required
Knowledge of manufacturing processes and techniques, test equipment and procedures, and assembly applications
Use of hand and power tools
Strong computer skills including MS Office Suite skills, including Word, Excel, and Outlook
Experience with SAP (Required)
Ability to work in a team-oriented environment that is fast-paced and demanding

Job Responsibility

Performing visual, mechanical inspection of purchased or manufactured parts, in process or finished, to determine if the parts conform to specifications, drawings, designated codes and standards
Using precision measuring and testing equipment, including calipers, height gage, micrometre’s, surface plate, Articulated ARM, Optical Comparator to perform mechanical inspections
Preparing a Non-Conformance Report (NCR) for any part that does not meet specified requirements and processing it per established procedures
Document nonconformances in SAP- NCR module where needed and complete the transactions in SAP
Review and verification of materials received from vendors
Witnessing internal testing procedures to verify accuracy of results
Interpreting and executing an Inspection and Test Plan (ITP)
Interfacing with third-party inspectors to verify completion of required customer requests
Handling other assigned work-related functions as deemed necessary and appropriate by your immediate supervisor
Provide on-the-job training and guidance to Level I inspection personnel

What we offer

Health Insurance (effective on start date)
Dental/Vision (effective on start date)
Flexible Spending Accounts/Health Savings Accounts
Life Insurance/Disability/Accident/Critical Illness
401(k) Savings Plan with generous company match
Tuition Reimbursement
Paid time off/Generous Holiday Schedule

Fulltime

New

Ev Sales Specialist

We’re expanding our Electric Vehicle Sales Team in Weybridge. We're looking for ...

Location

United Kingdom , Weybridge

Salary:

Not provided

Octopus Energy

Expiration Date

Until further notice

Requirements

Minimum 2 years of sales experience, preferably in a B2C setting
Experience in technology-driven sales processes (CRM, digital sales)
Proven track record of working in a target driven role and providing excellent customer experiences
Strong communication skills, a passionate drive, resilience, and a humble attitude
An inquisitive nature with the ability to gather information to align customer needs with tailored solutions
A genuine passion for going above and beyond for customers and a strong passion for Electric Vehicles, sustainability and/or the automotive industry
A start up / entrepreneurial mind-set being able to adjust to change and keep up with a fast moving business
A constant focus on improving and developing personally and within a business

Job Responsibility

Speak to customers interested in leasing an electric vehicle and qualifying the right one for them
Manage the end to end sales pipeline with customers - from lead through to delivery and deliver sales in line with targets
Manage customer orders in progress and supervise order processing
Continue planning and targeting of the acquisition of new customers
Recording customer satisfaction to ensure that customers are having the best experience
Provide excellent customer service both through the sales process and also in after-sales customer care
Strategically build your pipeline working with the team to create strong relationships both with internal stakeholders as well as with our customers both on a consumer and business level

What we offer

Uncapped commission scheme
Generous car allowance
Plenty of opportunities for career progression, continuous learning, and personal development
Dog friendly company

Fulltime

New

Senior Product Designer, Money Movement

Join us in building the future of finance. Our mission is to democratize finance...

Location

United States , Bellevue; Menlo Park; New York

Salary:

129000.00 - 195000.00 USD / Year

Robinhood

Expiration Date

Until further notice

Requirements

5+ years of product design experience, with demonstrated ownership of complex systems or platform-level workflows
A portfolio that shows strong interaction design, systems thinking, and attention to detail in real-world products
Experience designing transactional or high-stakes user flows where accuracy, timing, and user understanding are critical
Experience using AI tools as part of your design workflow
Comfort working through ambiguity by breaking problems into clear, actionable steps
A collaborative working style that values clear communication, feedback, and shared accountability

Job Responsibility

Design end-to-end money movement experiences, including deposits, withdrawals, transfers, and portfolio tracking, with a focus on clarity, reliability, and customer trust
Lead design work across the full product lifecycle, from early problem definition through detailed execution and launch
Partner closely with product management, engineering, content design, research, and compliance partners to deliver solutions that meet user needs and regulatory requirements
Translate complex financial and technical constraints into clear interaction patterns and intuitive interfaces
Explore multiple design approaches through flows, wireframes, and prototypes, then refine toward high-quality, production-ready designs
Define success metrics with partners and use customer feedback and data to iterate and improve shipped experiences

What we offer

Performance-driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching
100% paid health insurance for employees with 90% coverage for dependents
Lifestyle wallet — a highly flexible benefits spending account for wellness, learning, and more
Employer-paid life & disability insurance, fertility benefits, and mental health benefits
Time off to recharge including company holidays, paid time off, sick time, parental leave, and more
Exceptional office experience with catered meals, events, and comfortable workspaces

Fulltime

PhD in Probabilistic Deep Learning

Airbus

Location:
Germany , München Area

Category:
Research and Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
February 17, 2026

Expiration:
February 28, 2026

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PhD in Probabilistic Deep Learning

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Location:Germany , München Area

Category:Research and Development

Contract Type:Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:February 17, 2026

Expiration:February 28, 2026

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Location:
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Contract Type:
Not provided

Job Posted:
February 17, 2026

Expiration:
February 28, 2026